id stringlengths 10 10 | submitter stringlengths 3 52 | authors stringlengths 6 7.24k | title stringlengths 12 217 | comments stringlengths 1 446 ⌀ | journal-ref stringlengths 4 297 | doi stringlengths 12 118 ⌀ | report-no stringclasses 237
values | categories stringlengths 5 71 | license stringclasses 6
values | abstract stringlengths 90 3.26k | versions listlengths 1 17 | update_date stringclasses 969
values | authors_parsed listlengths 1 451 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2101.00146 | Leibo Liu | Leibo Liu, Oscar Perez-Concha, Anthony Nguyen, Vicki Bennett, Louisa
Jorm | De-identifying Australian Hospital Discharge Summaries: An End-to-End
Framework using Ensemble of Deep Learning Models | null | Journal of Biomedical Informatics 135 (2022) 104215 | 10.1016/j.jbi.2022.104215 | null | cs.CL cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Electronic Medical Records (EMRs) contain clinical narrative text that is of
great potential value to medical researchers. However, this information is
mixed with Personally Identifiable Information (PII) that presents risks to
patient and clinician confidentiality. This paper presents an end-to-end
deidentification ... | [
{
"created": "Fri, 1 Jan 2021 03:09:31 GMT",
"version": "v1"
},
{
"created": "Fri, 20 Aug 2021 06:04:21 GMT",
"version": "v2"
},
{
"created": "Fri, 3 Dec 2021 14:12:01 GMT",
"version": "v3"
},
{
"created": "Tue, 4 Oct 2022 00:46:47 GMT",
"version": "v4"
}
] | 2022-10-05 | [
[
"Liu",
"Leibo",
""
],
[
"Perez-Concha",
"Oscar",
""
],
[
"Nguyen",
"Anthony",
""
],
[
"Bennett",
"Vicki",
""
],
[
"Jorm",
"Louisa",
""
]
] |
2101.00151 | Hung Le | Hung Le and Chinnadhurai Sankar and Seungwhan Moon and Ahmad Beirami
and Alborz Geramifard and Satwik Kottur | DVD: A Diagnostic Dataset for Multi-step Reasoning in Video Grounded
Dialogue | 20 pages, 14 figures, 8 tables | Association for Computational Linguistics (2021) | null | null | cs.AI cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A video-grounded dialogue system is required to understand both dialogue,
which contains semantic dependencies from turn to turn, and video, which
contains visual cues of spatial and temporal scene variations. Building such
dialogue systems is a challenging problem, involving various reasoning types on
both visual an... | [
{
"created": "Fri, 1 Jan 2021 03:20:22 GMT",
"version": "v1"
},
{
"created": "Mon, 14 Jun 2021 15:55:57 GMT",
"version": "v2"
}
] | 2021-06-15 | [
[
"Le",
"Hung",
""
],
[
"Sankar",
"Chinnadhurai",
""
],
[
"Moon",
"Seungwhan",
""
],
[
"Beirami",
"Ahmad",
""
],
[
"Geramifard",
"Alborz",
""
],
[
"Kottur",
"Satwik",
""
]
] |
2101.00153 | Bin Liu | Liu Bin, Yin Guosheng | Graphmax for Text Generation | null | Journal of Artificial Intelligence Research, vol. 78, pp.823-848,
Nov. 2023 | 10.1613/jair.1.15280 | null | cs.CL | http://creativecommons.org/licenses/by-nc-sa/4.0/ | In text generation, a large language model (LM) makes a choice of each new
word based only on the former selection of its context using the softmax
function. Nevertheless, the link statistics information of concurrent words
based on a scene-specific corpus is valuable in choosing the next word, which
can help to ensu... | [
{
"created": "Fri, 1 Jan 2021 03:29:21 GMT",
"version": "v1"
},
{
"created": "Mon, 16 Oct 2023 08:01:47 GMT",
"version": "v2"
},
{
"created": "Tue, 19 Dec 2023 12:57:23 GMT",
"version": "v3"
}
] | 2023-12-20 | [
[
"Bin",
"Liu",
""
],
[
"Guosheng",
"Yin",
""
]
] |
2101.00173 | Kai Yi | Mohamed Elhoseiny, Kai Yi, Mohamed Elfeki | CIZSL++: Creativity Inspired Generative Zero-Shot Learning | This paper is an extended version of a paper published on the
International Conference on Computer Vision (ICCV), held in Seoul, Republic
of Korea, October 27-Nov 2nd, 2019 CIZSL-v2 code is available here
https://github.com/Vision-CAIR/CIZSLv2. arXiv admin note: substantial text
overlap with arXiv:1904.01109 | https://openaccess.thecvf.com/content_ICCV_2019/papers/Elhoseiny_Creativity_Inspired_Zero-Shot_Learning_ICCV_2019_paper.pdf | null | null | cs.CV cs.AI cs.CL | http://creativecommons.org/licenses/by/4.0/ | Zero-shot learning (ZSL) aims at understanding unseen categories with no
training examples from class-level descriptions. To improve the discriminative
power of ZSL, we model the visual learning process of unseen categories with
inspiration from the psychology of human creativity for producing novel art.
First, we pr... | [
{
"created": "Fri, 1 Jan 2021 05:47:57 GMT",
"version": "v1"
},
{
"created": "Wed, 17 Feb 2021 09:08:51 GMT",
"version": "v2"
}
] | 2021-02-18 | [
[
"Elhoseiny",
"Mohamed",
""
],
[
"Yi",
"Kai",
""
],
[
"Elfeki",
"Mohamed",
""
]
] |
2101.00336 | Hanxun Huang | Hanxun Huang, Xingjun Ma, Sarah M. Erfani, James Bailey | Neural Architecture Search via Combinatorial Multi-Armed Bandit | 10 pages, 7 figures | International Joint Conference on Neural Networks (IJCNN) 2021 | null | null | cs.LG cs.CV stat.ML | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Neural Architecture Search (NAS) has gained significant popularity as an
effective tool for designing high performance deep neural networks (DNNs). NAS
can be performed via policy gradient, evolutionary algorithms, differentiable
architecture search or tree-search methods. While significant progress has been
made for... | [
{
"created": "Fri, 1 Jan 2021 23:29:33 GMT",
"version": "v1"
},
{
"created": "Sat, 24 Apr 2021 14:13:15 GMT",
"version": "v2"
}
] | 2021-04-27 | [
[
"Huang",
"Hanxun",
""
],
[
"Ma",
"Xingjun",
""
],
[
"Erfani",
"Sarah M.",
""
],
[
"Bailey",
"James",
""
]
] |
2101.00360 | Pingyi Fan Prof. | Pingyi Fan | New-Type Hoeffding's Inequalities and Application in Tail Bounds | 8 pages, 1 figure | Open Journal of Mathematical Sciences Vol.5 No.1 pp.248 -261, 2021 | 10.30538/oms2021.0161 | ISSN: 2523-0212 (Online) 2616-4906 (Print) | math.ST cs.AI cs.IT math.IT math.PR stat.TH | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | It is well known that Hoeffding's inequality has a lot of applications in the
signal and information processing fields. How to improve Hoeffding's inequality
and find the refinements of its applications have always attracted much
attentions. An improvement of Hoeffding inequality was recently given by Hertz
\cite{r1}... | [
{
"created": "Sat, 2 Jan 2021 03:19:11 GMT",
"version": "v1"
}
] | 2021-06-22 | [
[
"Fan",
"Pingyi",
""
]
] |
2101.00388 | Houjin Yu | Houjin Yu, Xian-Ling Mao, Zewen Chi, Wei Wei and Heyan Huang | A Robust and Domain-Adaptive Approach for Low-Resource Named Entity
Recognition | Best Student Paper of 2020 IEEE International Conference on Knowledge
Graph (ICKG) | 2020 IEEE International Conference on Knowledge Graph (ICKG) (pp.
297-304)- | 10.1109/ICBK50248.2020.00050 | null | cs.CL cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recently, it has attracted much attention to build reliable named entity
recognition (NER) systems using limited annotated data. Nearly all existing
works heavily rely on domain-specific resources, such as external lexicons and
knowledge bases. However, such domain-specific resources are often not
available, meanwhil... | [
{
"created": "Sat, 2 Jan 2021 06:47:01 GMT",
"version": "v1"
}
] | 2021-01-05 | [
[
"Yu",
"Houjin",
""
],
[
"Mao",
"Xian-Ling",
""
],
[
"Chi",
"Zewen",
""
],
[
"Wei",
"Wei",
""
],
[
"Huang",
"Heyan",
""
]
] |
2101.00395 | Masahiro Toyoura | Siqiang Chen, Masahiro Toyoura, Takamasa Terada, Xiaoyang Mao, Gang Xu | Image-based Textile Decoding | null | Integrated Computer-Aided Engineering, Pre-press, pp. 1-14, 2020 | 10.3233/ICA-200647 | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | A textile fabric consists of countless parallel vertical yarns (warps) and
horizontal yarns (wefts). While common looms can weave repetitive patterns,
Jacquard looms can weave the patterns without repetition restrictions. A
pattern in which the warps and wefts cross on a grid is defined in a binary
matrix. The binary... | [
{
"created": "Sat, 2 Jan 2021 07:41:34 GMT",
"version": "v1"
}
] | 2021-01-05 | [
[
"Chen",
"Siqiang",
""
],
[
"Toyoura",
"Masahiro",
""
],
[
"Terada",
"Takamasa",
""
],
[
"Mao",
"Xiaoyang",
""
],
[
"Xu",
"Gang",
""
]
] |
2101.00407 | Liyuan Wang | Liyuan Wang, Kuo Yang, Chongxuan Li, Lanqing Hong, Zhenguo Li, Jun Zhu | ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for
Semi-supervised Continual Learning | null | CVPR 2021 | null | null | cs.LG cs.AI stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Continual learning usually assumes the incoming data are fully labeled, which
might not be applicable in real applications. In this work, we consider
semi-supervised continual learning (SSCL) that incrementally learns from
partially labeled data. Observing that existing continual learning methods lack
the ability to ... | [
{
"created": "Sat, 2 Jan 2021 09:04:14 GMT",
"version": "v1"
},
{
"created": "Fri, 9 Apr 2021 01:57:03 GMT",
"version": "v2"
}
] | 2022-02-15 | [
[
"Wang",
"Liyuan",
""
],
[
"Yang",
"Kuo",
""
],
[
"Li",
"Chongxuan",
""
],
[
"Hong",
"Lanqing",
""
],
[
"Li",
"Zhenguo",
""
],
[
"Zhu",
"Jun",
""
]
] |
2101.00433 | Michael Saxon | Michael Saxon, Sharon Levy, Xinyi Wang, Alon Albalak, William Yang
Wang | Modeling Disclosive Transparency in NLP Application Descriptions | To appear at EMNLP 2021. 15 pages, 10 figures, 7 tables | Proceedings of the 2021 Conference on Empirical Methods in Natural
Language Processing, pp 2023-2037 | 10.18653/v1/2021.emnlp-main.153 | null | cs.CL cs.AI cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Broader disclosive transparency$-$truth and clarity in communication
regarding the function of AI systems$-$is widely considered desirable.
Unfortunately, it is a nebulous concept, difficult to both define and quantify.
This is problematic, as previous work has demonstrated possible trade-offs and
negative consequenc... | [
{
"created": "Sat, 2 Jan 2021 11:46:17 GMT",
"version": "v1"
},
{
"created": "Sat, 17 Apr 2021 03:42:18 GMT",
"version": "v2"
},
{
"created": "Fri, 27 Aug 2021 03:30:20 GMT",
"version": "v3"
},
{
"created": "Fri, 10 Sep 2021 17:54:54 GMT",
"version": "v4"
}
] | 2022-05-26 | [
[
"Saxon",
"Michael",
""
],
[
"Levy",
"Sharon",
""
],
[
"Wang",
"Xinyi",
""
],
[
"Albalak",
"Alon",
""
],
[
"Wang",
"William Yang",
""
]
] |
2101.00441 | Jakub Marecek | Sam D. Allen and Edmund K.Burke and Jakub Marecek | A space-indexed formulation of packing boxes into a larger box | arXiv admin note: substantial text overlap with arXiv:1412.2526 | Operations Research Letters, Volume 40, Issue 1, January 2012,
Pages 20-24 | 10.1016/j.orl.2011.10.008 | null | math.OC cs.AI cs.DM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Current integer programming solvers fail to decide whether 12 unit cubes can
be packed into a 1x1x11 box within an hour using the natural relaxation of
Chen/Padberg. We present an alternative relaxation of the problem of packing
boxes into a larger box, which makes it possible to solve much larger
instances.
| [
{
"created": "Sat, 2 Jan 2021 12:10:47 GMT",
"version": "v1"
}
] | 2021-01-05 | [
[
"Allen",
"Sam D.",
""
],
[
"Burke",
"Edmund K.",
""
],
[
"Marecek",
"Jakub",
""
]
] |
2101.00443 | Sourav Garg | Sourav Garg, Niko S\"underhauf, Feras Dayoub, Douglas Morrison,
Akansel Cosgun, Gustavo Carneiro, Qi Wu, Tat-Jun Chin, Ian Reid, Stephen
Gould, Peter Corke, Michael Milford | Semantics for Robotic Mapping, Perception and Interaction: A Survey | 81 pages, 1 figure, published in Foundations and Trends in Robotics,
2020 | Foundations and Trends in Robotics: Vol. 8: No. 1-2, pp 1-224
(2020) | 10.1561/2300000059 | null | cs.RO cs.CV cs.HC cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | For robots to navigate and interact more richly with the world around them,
they will likely require a deeper understanding of the world in which they
operate. In robotics and related research fields, the study of understanding is
often referred to as semantics, which dictates what does the world "mean" to a
robot, a... | [
{
"created": "Sat, 2 Jan 2021 12:34:39 GMT",
"version": "v1"
}
] | 2021-01-05 | [
[
"Garg",
"Sourav",
""
],
[
"Sünderhauf",
"Niko",
""
],
[
"Dayoub",
"Feras",
""
],
[
"Morrison",
"Douglas",
""
],
[
"Cosgun",
"Akansel",
""
],
[
"Carneiro",
"Gustavo",
""
],
[
"Wu",
"Qi",
""
],
[
"Chi... |
2101.00529 | Pengchuan Zhang | Pengchuan Zhang, Xiujun Li, Xiaowei Hu, Jianwei Yang, Lei Zhang,
Lijuan Wang, Yejin Choi, Jianfeng Gao | VinVL: Revisiting Visual Representations in Vision-Language Models | null | CVPR 2021 | null | null | cs.CV cs.AI cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents a detailed study of improving visual representations for
vision language (VL) tasks and develops an improved object detection model to
provide object-centric representations of images. Compared to the most widely
used \emph{bottom-up and top-down} model \cite{anderson2018bottom}, the new
model is ... | [
{
"created": "Sat, 2 Jan 2021 23:35:27 GMT",
"version": "v1"
},
{
"created": "Wed, 10 Mar 2021 01:27:16 GMT",
"version": "v2"
}
] | 2021-03-11 | [
[
"Zhang",
"Pengchuan",
""
],
[
"Li",
"Xiujun",
""
],
[
"Hu",
"Xiaowei",
""
],
[
"Yang",
"Jianwei",
""
],
[
"Zhang",
"Lei",
""
],
[
"Wang",
"Lijuan",
""
],
[
"Choi",
"Yejin",
""
],
[
"Gao",
"Jianf... |
2101.00561 | Tianxiao Zhang | Tianxiao Zhang, Wenchi Ma, Guanghui Wang | Six-channel Image Representation for Cross-domain Object Detection | null | 2021 11th International Conference on Image and Graphics (ICIG) | 10.1007/978-3-030-87355-4_15 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Most deep learning models are data-driven and the excellent performance is
highly dependent on the abundant and diverse datasets. However, it is very hard
to obtain and label the datasets of some specific scenes or applications. If we
train the detector using the data from one domain, it cannot perform well on
the da... | [
{
"created": "Sun, 3 Jan 2021 04:50:03 GMT",
"version": "v1"
},
{
"created": "Mon, 28 Jun 2021 21:03:25 GMT",
"version": "v2"
}
] | 2022-03-09 | [
[
"Zhang",
"Tianxiao",
""
],
[
"Ma",
"Wenchi",
""
],
[
"Wang",
"Guanghui",
""
]
] |
2101.00603 | Haotian Li | Zhuqing Jiang, Haotian Li, Liangjie Liu, Aidong Men, Haiying Wang | A Switched View of Retinex: Deep Self-Regularized Low-Light Image
Enhancement | null | Neurocomputing 454 (2021): 361-372 | 10.1016/j.neucom.2021.05.025 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Self-regularized low-light image enhancement does not require any
normal-light image in training, thereby freeing from the chains on paired or
unpaired low-/normal-images. However, existing methods suffer color deviation
and fail to generalize to various lighting conditions. This paper presents a
novel self-regulariz... | [
{
"created": "Sun, 3 Jan 2021 10:40:31 GMT",
"version": "v1"
}
] | 2021-07-20 | [
[
"Jiang",
"Zhuqing",
""
],
[
"Li",
"Haotian",
""
],
[
"Liu",
"Liangjie",
""
],
[
"Men",
"Aidong",
""
],
[
"Wang",
"Haiying",
""
]
] |
2101.00667 | Idoia Ruiz | Idoia Ruiz, Lorenzo Porzi, Samuel Rota Bul\`o, Peter Kontschieder,
Joan Serrat | Weakly Supervised Multi-Object Tracking and Segmentation | Accepted at Autonomous Vehicle Vision WACV 2021 Workshop | Proceedings of the IEEE/CVF Winter Conference on Applications of
Computer Vision (WACV) 2021 | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce the problem of weakly supervised Multi-Object Tracking and
Segmentation, i.e. joint weakly supervised instance segmentation and
multi-object tracking, in which we do not provide any kind of mask annotation.
To address it, we design a novel synergistic training strategy by taking
advantage of multi-task l... | [
{
"created": "Sun, 3 Jan 2021 17:06:43 GMT",
"version": "v1"
}
] | 2021-01-05 | [
[
"Ruiz",
"Idoia",
""
],
[
"Porzi",
"Lorenzo",
""
],
[
"Bulò",
"Samuel Rota",
""
],
[
"Kontschieder",
"Peter",
""
],
[
"Serrat",
"Joan",
""
]
] |
2101.00703 | Samit Chakraborty | Samit Chakraborty, Marguerite Moore, Lisa Parrillo-Chapman | Automatic Defect Detection of Print Fabric Using Convolutional Neural
Network | 8 pages, 4 figures, Conference | Digital Fashion Innovation e-Symposium, 2020 | null | null | cs.CV cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Automatic defect detection is a challenging task because of the variability
in texture and type of fabric defects. An effective defect detection system
enables manufacturers to improve the quality of processes and products.
Automation across the textile manufacturing systems would reduce fabric wastage
and increase p... | [
{
"created": "Sun, 3 Jan 2021 20:56:56 GMT",
"version": "v1"
}
] | 2021-01-19 | [
[
"Chakraborty",
"Samit",
""
],
[
"Moore",
"Marguerite",
""
],
[
"Parrillo-Chapman",
"Lisa",
""
]
] |
2101.00784 | Zekun Wang | Zekun Wang, Pengwei Wang, Peter C. Louis, Lee E. Wheless, Yuankai Huo | WearMask: Fast In-browser Face Mask Detection with Serverless Edge
Computing for COVID-19 | null | Electronic Imaging, 2023, pp 229-1 - 229-6 | 10.2352/EI.2023.35.11.HPCI-229 | null | cs.CV eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The COVID-19 epidemic has been a significant healthcare challenge in the
United States. According to the Centers for Disease Control and Prevention
(CDC), COVID-19 infection is transmitted predominately by respiratory droplets
generated when people breathe, talk, cough, or sneeze. Wearing a mask is the
primary, effec... | [
{
"created": "Mon, 4 Jan 2021 05:50:48 GMT",
"version": "v1"
}
] | 2023-04-03 | [
[
"Wang",
"Zekun",
""
],
[
"Wang",
"Pengwei",
""
],
[
"Louis",
"Peter C.",
""
],
[
"Wheless",
"Lee E.",
""
],
[
"Huo",
"Yuankai",
""
]
] |
2101.00843 | Dennis Soemers | Cameron Browne and Dennis J. N. J. Soemers and Eric Piette | Strategic Features for General Games | Paper exactly as it appeared at KEG Workshop held at AAAI 2019 | Proceedings of the 2nd Workshop on Knowledge Extraction from Games
co-located with 33rd AAAI Conference on Artificial Intelligence (AAAI 2019) | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This short paper describes an ongoing research project that requires the
automated self-play learning and evaluation of a large number of board games in
digital form. We describe the approach we are taking to determine relevant
features, for biasing MCTS playouts for arbitrary games played on arbitrary
geometries. Be... | [
{
"created": "Mon, 4 Jan 2021 09:30:07 GMT",
"version": "v1"
}
] | 2021-01-05 | [
[
"Browne",
"Cameron",
""
],
[
"Soemers",
"Dennis J. N. J.",
""
],
[
"Piette",
"Eric",
""
]
] |
2101.00910 | Shang-Hua Gao | Shang-Hua Gao, Qi Han, Zhong-Yu Li, Pai Peng, Liang Wang, Ming-Ming
Cheng | Global2Local: Efficient Structure Search for Video Action Segmentation | Accepted by CVPR 2021. Source code:
https://github.com/ShangHua-Gao/G2L-search | CVPR 2021 | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Temporal receptive fields of models play an important role in action
segmentation. Large receptive fields facilitate the long-term relations among
video clips while small receptive fields help capture the local details.
Existing methods construct models with hand-designed receptive fields in
layers. Can we effectivel... | [
{
"created": "Mon, 4 Jan 2021 12:06:03 GMT",
"version": "v1"
},
{
"created": "Fri, 30 Apr 2021 02:51:47 GMT",
"version": "v2"
}
] | 2021-05-03 | [
[
"Gao",
"Shang-Hua",
""
],
[
"Han",
"Qi",
""
],
[
"Li",
"Zhong-Yu",
""
],
[
"Peng",
"Pai",
""
],
[
"Wang",
"Liang",
""
],
[
"Cheng",
"Ming-Ming",
""
]
] |
2101.01039 | Suzan Verberne | Ken Voskuil and Suzan Verberne | Improving reference mining in patents with BERT | 10 pages, 3 figures | Published in the 11th International Workshop on
Bibliometric-enhanced Information Retrieval (BIR 2021) | null | null | cs.IR cs.CL | http://creativecommons.org/licenses/by/4.0/ | In this paper we address the challenge of extracting scientific references
from patents. We approach the problem as a sequence labelling task and
investigate the merits of BERT models to the extraction of these long
sequences. References in patents to scientific literature are relevant to study
the connection between... | [
{
"created": "Mon, 4 Jan 2021 15:56:21 GMT",
"version": "v1"
},
{
"created": "Fri, 15 Jan 2021 10:03:15 GMT",
"version": "v2"
},
{
"created": "Wed, 10 Mar 2021 11:26:01 GMT",
"version": "v3"
}
] | 2021-03-11 | [
[
"Voskuil",
"Ken",
""
],
[
"Verberne",
"Suzan",
""
]
] |
2101.01213 | Ana Sofia Medeiros Oliveira | Sofia Oliveira and Daniel Loureiro and Al\'ipio Jorge | Improving Portuguese Semantic Role Labeling with Transformers and
Transfer Learning | 30 pages, 3 figures; Fixed broken links in References | 2021 IEEE 8th International Conference on Data Science and
Advanced Analytics (DSAA), 2021, pp. 1-9 | 10.1109/DSAA53316.2021.9564238 | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Natural Language Processing task of determining "Who did what to whom" is
called Semantic Role Labeling. For English, recent methods based on Transformer
models have allowed for major improvements in this task over the previous state
of the art. However, for low resource languages, like Portuguese, currently
avai... | [
{
"created": "Mon, 4 Jan 2021 19:56:01 GMT",
"version": "v1"
},
{
"created": "Wed, 6 Jan 2021 11:05:52 GMT",
"version": "v2"
},
{
"created": "Sat, 30 Oct 2021 19:00:10 GMT",
"version": "v3"
}
] | 2021-11-02 | [
[
"Oliveira",
"Sofia",
""
],
[
"Loureiro",
"Daniel",
""
],
[
"Jorge",
"Alípio",
""
]
] |
2101.01214 | Eric Guzman | Eric Guzman and Joel Meyers | Reconstructing Patchy Reionization with Deep Learning | 14 pages, 9 figures. Updated to match published version. Code
available from https://github.com/EEmGuzman/resunet-cmb | Phys. Rev. D 104, 043529 (2021) | 10.1103/PhysRevD.104.043529 | null | astro-ph.CO cs.CV stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The precision anticipated from next-generation cosmic microwave background
(CMB) surveys will create opportunities for characteristically new insights
into cosmology. Secondary anisotropies of the CMB will have an increased
importance in forthcoming surveys, due both to the cosmological information
they encode and th... | [
{
"created": "Mon, 4 Jan 2021 19:58:28 GMT",
"version": "v1"
},
{
"created": "Fri, 20 Aug 2021 15:40:26 GMT",
"version": "v2"
}
] | 2021-08-25 | [
[
"Guzman",
"Eric",
""
],
[
"Meyers",
"Joel",
""
]
] |
2101.01228 | Nicholas Botzer | Nicholas Botzer, Yifan Ding, Tim Weninger | Reddit Entity Linking Dataset | 20 pages and 4 figures | Information Processing and Management Volume 58, Issue 3 (May
2021) 1-20 | 10.1016/j.ipm.2020.102479 | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | We introduce and make publicly available an entity linking dataset from
Reddit that contains 17,316 linked entities, each annotated by three human
annotators and then grouped into Gold, Silver, and Bronze to indicate
inter-annotator agreement. We analyze the different errors and disagreements
made by annotators and s... | [
{
"created": "Mon, 4 Jan 2021 20:34:04 GMT",
"version": "v1"
},
{
"created": "Thu, 25 Feb 2021 17:54:48 GMT",
"version": "v2"
}
] | 2021-02-26 | [
[
"Botzer",
"Nicholas",
""
],
[
"Ding",
"Yifan",
""
],
[
"Weninger",
"Tim",
""
]
] |
2101.01321 | Sehoon Kim | Sehoon Kim, Amir Gholami, Zhewei Yao, Michael W. Mahoney, Kurt Keutzer | I-BERT: Integer-only BERT Quantization | null | ICML 2021 (Oral) | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Transformer based models, like BERT and RoBERTa, have achieved
state-of-the-art results in many Natural Language Processing tasks. However,
their memory footprint, inference latency, and power consumption are
prohibitive efficient inference at the edge, and even at the data center. While
quantization can be a viable ... | [
{
"created": "Tue, 5 Jan 2021 02:42:58 GMT",
"version": "v1"
},
{
"created": "Thu, 11 Feb 2021 09:11:11 GMT",
"version": "v2"
},
{
"created": "Tue, 8 Jun 2021 07:53:22 GMT",
"version": "v3"
}
] | 2022-05-02 | [
[
"Kim",
"Sehoon",
""
],
[
"Gholami",
"Amir",
""
],
[
"Yao",
"Zhewei",
""
],
[
"Mahoney",
"Michael W.",
""
],
[
"Keutzer",
"Kurt",
""
]
] |
2101.01597 | Nantheera Anantrasirichai | N. Anantrasirichai and David Bull | Contextual colorization and denoising for low-light ultra high
resolution sequences | 5 pages | 2021 IEEE International Conference on Image Processing (ICIP) | 10.1109/ICIP42928.2021.9506694 | null | eess.IV cs.CV | http://creativecommons.org/licenses/by/4.0/ | Low-light image sequences generally suffer from spatio-temporal incoherent
noise, flicker and blurring of moving objects. These artefacts significantly
reduce visual quality and, in most cases, post-processing is needed in order to
generate acceptable quality. Most state-of-the-art enhancement methods based on
machin... | [
{
"created": "Tue, 5 Jan 2021 15:35:29 GMT",
"version": "v1"
}
] | 2022-03-04 | [
[
"Anantrasirichai",
"N.",
""
],
[
"Bull",
"David",
""
]
] |
2101.01665 | Rana Mostafa AbdElMohsen AbdElMolla | Reem Abdel-Salam, Rana Mostafa and Mayada Hadhood | Human Activity Recognition using Wearable Sensors: Review, Challenges,
Evaluation Benchmark | Accepted at 2ND International Workshop on Deep Learning for Human
Activity Recognition, Held in conjunction with IJCAI-PRICAI 2020, January
2021, Japan and published at Springer Communications in Computer and
Information Science (CCIS) proceedings | CCIS. 1370(2021) 1-15 | 10.1007/978-981-16-0575-8_1 | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Recognizing human activity plays a significant role in the advancements of
human-interaction applications in healthcare, personal fitness, and smart
devices. Many papers presented various techniques for human activity
representation that resulted in distinguishable progress. In this study, we
conduct an extensive lit... | [
{
"created": "Tue, 5 Jan 2021 17:33:04 GMT",
"version": "v1"
},
{
"created": "Wed, 6 Jan 2021 09:19:21 GMT",
"version": "v2"
}
] | 2023-11-22 | [
[
"Abdel-Salam",
"Reem",
""
],
[
"Mostafa",
"Rana",
""
],
[
"Hadhood",
"Mayada",
""
]
] |
2101.01710 | Prune Truong | Prune Truong and Martin Danelljan and Luc Van Gool and Radu Timofte | Learning Accurate Dense Correspondences and When to Trust Them | CVPR 2021 ORAL Code: https://github.com/PruneTruong/PDCNet
Website:https://prunetruong.com/research/pdcnet | IEEE/CVF Conference on Computer Vision and Pattern Recognition
2021, CVPR 2021 | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Establishing dense correspondences between a pair of images is an important
and general problem. However, dense flow estimation is often inaccurate in the
case of large displacements or homogeneous regions. For most applications and
down-stream tasks, such as pose estimation, image manipulation, or 3D
reconstruction,... | [
{
"created": "Tue, 5 Jan 2021 18:54:11 GMT",
"version": "v1"
},
{
"created": "Thu, 1 Apr 2021 16:57:01 GMT",
"version": "v2"
}
] | 2021-04-02 | [
[
"Truong",
"Prune",
""
],
[
"Danelljan",
"Martin",
""
],
[
"Van Gool",
"Luc",
""
],
[
"Timofte",
"Radu",
""
]
] |
2101.01844 | Qiaojun Feng | Qiaojun Feng, Nikolay Atanasov | Mesh Reconstruction from Aerial Images for Outdoor Terrain Mapping Using
Joint 2D-3D Learning | 7 pages, 7 figures. Accepted at ICRA 2021 | 2021 IEEE International Conference on Robotics and Automation
(ICRA), Xi'an, China, pp. 5208-5214 | 10.1109/ICRA48506.2021.9561337 | null | cs.CV cs.LG cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper addresses outdoor terrain mapping using overhead images obtained
from an unmanned aerial vehicle. Dense depth estimation from aerial images
during flight is challenging. While feature-based localization and mapping
techniques can deliver real-time odometry and sparse points reconstruction, a
dense environm... | [
{
"created": "Wed, 6 Jan 2021 02:09:03 GMT",
"version": "v1"
},
{
"created": "Tue, 13 Apr 2021 20:45:33 GMT",
"version": "v2"
}
] | 2022-04-27 | [
[
"Feng",
"Qiaojun",
""
],
[
"Atanasov",
"Nikolay",
""
]
] |
2101.02032 | Lu Cheng | Lu Cheng, Kush R. Varshney, Huan Liu | Socially Responsible AI Algorithms: Issues, Purposes, and Challenges | 45 pages, 8 figures | Journal of Artificial Intelligence Research 71 (2021) 1137-1181 | null | null | cs.CY cs.AI | http://creativecommons.org/licenses/by/4.0/ | In the current era, people and society have grown increasingly reliant on
artificial intelligence (AI) technologies. AI has the potential to drive us
towards a future in which all of humanity flourishes. It also comes with
substantial risks for oppression and calamity. Discussions about whether we
should (re)trust AI... | [
{
"created": "Fri, 1 Jan 2021 17:34:42 GMT",
"version": "v1"
},
{
"created": "Tue, 12 Jan 2021 21:18:17 GMT",
"version": "v2"
},
{
"created": "Thu, 18 Mar 2021 20:12:58 GMT",
"version": "v3"
},
{
"created": "Fri, 25 Jun 2021 21:21:36 GMT",
"version": "v4"
},
{
"cr... | 2021-08-24 | [
[
"Cheng",
"Lu",
""
],
[
"Varshney",
"Kush R.",
""
],
[
"Liu",
"Huan",
""
]
] |
2101.02115 | Ruben Ohana | Alessandro Cappelli, Ruben Ohana, Julien Launay, Laurent Meunier,
Iacopo Poli, Florent Krzakala | Adversarial Robustness by Design through Analog Computing and Synthetic
Gradients | null | ICASSP 2022 - IEEE International Conference on Acoustics, Speech
and Signal Processing, | 10.1109/ICASSP43922.2022.9746671 | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a new defense mechanism against adversarial attacks inspired by an
optical co-processor, providing robustness without compromising natural
accuracy in both white-box and black-box settings. This hardware co-processor
performs a nonlinear fixed random transformation, where the parameters are
unknown and imp... | [
{
"created": "Wed, 6 Jan 2021 16:15:29 GMT",
"version": "v1"
}
] | 2022-10-03 | [
[
"Cappelli",
"Alessandro",
""
],
[
"Ohana",
"Ruben",
""
],
[
"Launay",
"Julien",
""
],
[
"Meunier",
"Laurent",
""
],
[
"Poli",
"Iacopo",
""
],
[
"Krzakala",
"Florent",
""
]
] |
2101.02136 | Vicky Kalogeiton | Manuel J. Marin-Jimenez, Vicky Kalogeiton, Pablo Medina-Suarez, and
Andrew Zisserman | LAEO-Net++: revisiting people Looking At Each Other in videos | 16 pages, 16 Figures. arXiv admin note: substantial text overlap with
arXiv:1906.05261 | IEEE Transactions on Pattern Analysis and Machine Intelligence
(TPAMI), 2020 | 10.1109/TPAMI.2020.3048482 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Capturing the 'mutual gaze' of people is essential for understanding and
interpreting the social interactions between them. To this end, this paper
addresses the problem of detecting people Looking At Each Other (LAEO) in video
sequences. For this purpose, we propose LAEO-Net++, a new deep CNN for
determining LAEO in... | [
{
"created": "Wed, 6 Jan 2021 17:06:23 GMT",
"version": "v1"
}
] | 2021-01-07 | [
[
"Marin-Jimenez",
"Manuel J.",
""
],
[
"Kalogeiton",
"Vicky",
""
],
[
"Medina-Suarez",
"Pablo",
""
],
[
"Zisserman",
"Andrew",
""
]
] |
2101.02185 | Seyed Sajjadi | Volkan Ustun, Rajay Kumar, Adam Reilly, Seyed Sajjadi, Andrew Miller | Adaptive Synthetic Characters for Military Training | null | 2020 Interservice/Industry Training, Simulation, and Education
Conference (I/ITSEC) | null | null | cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Behaviors of the synthetic characters in current military simulations are
limited since they are generally generated by rule-based and reactive
computational models with minimal intelligence. Such computational models
cannot adapt to reflect the experience of the characters, resulting in brittle
intelligence for even... | [
{
"created": "Wed, 6 Jan 2021 18:45:48 GMT",
"version": "v1"
}
] | 2021-01-07 | [
[
"Ustun",
"Volkan",
""
],
[
"Kumar",
"Rajay",
""
],
[
"Reilly",
"Adam",
""
],
[
"Sajjadi",
"Seyed",
""
],
[
"Miller",
"Andrew",
""
]
] |
2101.02231 | Seyed Sajjadi | Volkan Ustun, Paul S. Rosenbloom, Seyed Sajjadi, Jeremy Nuttal | Controlling Synthetic Characters in Simulations: A Case for Cognitive
Architectures and Sigma | null | Interservice/Industry Training, Simulation, and Education
Conference (I/ITSEC) 2018 | null | null | cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Simulations, along with other similar applications like virtual worlds and
video games, require computational models of intelligence that generate
realistic and credible behavior for the participating synthetic characters.
Cognitive architectures, which are models of the fixed structure underlying
intelligent behavio... | [
{
"created": "Wed, 6 Jan 2021 19:07:36 GMT",
"version": "v1"
}
] | 2021-01-08 | [
[
"Ustun",
"Volkan",
""
],
[
"Rosenbloom",
"Paul S.",
""
],
[
"Sajjadi",
"Seyed",
""
],
[
"Nuttal",
"Jeremy",
""
]
] |
2101.02323 | Vishwesh Nath | Vishwesh Nath, Dong Yang, Bennett A. Landman, Daguang Xu, Holger R.
Roth | Diminishing Uncertainty within the Training Pool: Active Learning for
Medical Image Segmentation | 19 pages, 13 figures, Transactions of Medical Imaging | IEEE Transactions on Medical Imaging, 2020 | 10.1109/TMI.2020.3048055 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Active learning is a unique abstraction of machine learning techniques where
the model/algorithm could guide users for annotation of a set of data points
that would be beneficial to the model, unlike passive machine learning. The
primary advantage being that active learning frameworks select data points that
can acce... | [
{
"created": "Thu, 7 Jan 2021 01:55:48 GMT",
"version": "v1"
}
] | 2021-01-08 | [
[
"Nath",
"Vishwesh",
""
],
[
"Yang",
"Dong",
""
],
[
"Landman",
"Bennett A.",
""
],
[
"Xu",
"Daguang",
""
],
[
"Roth",
"Holger R.",
""
]
] |
2101.02359 | Xiangyang Li | Xiangyang Li, Yu Xia, Xiang Long, Zheng Li, Sujian Li | Exploring Text-transformers in AAAI 2021 Shared Task: COVID-19 Fake News
Detection in English | 3rd solution of 'Constraint@AAAI2021 - COVID19 Fake News Detection in
English' | First International Workshop, CONSTRAINT 2021 co-located with AAAI
2021 | null | null | cs.CL cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | In this paper, we describe our system for the AAAI 2021 shared task of
COVID-19 Fake News Detection in English, where we achieved the 3rd position
with the weighted F1 score of 0.9859 on the test set. Specifically, we proposed
an ensemble method of different pre-trained language models such as BERT,
Roberta, Ernie, e... | [
{
"created": "Thu, 7 Jan 2021 04:01:13 GMT",
"version": "v1"
}
] | 2021-09-24 | [
[
"Li",
"Xiangyang",
""
],
[
"Xia",
"Yu",
""
],
[
"Long",
"Xiang",
""
],
[
"Li",
"Zheng",
""
],
[
"Li",
"Sujian",
""
]
] |
2101.02442 | Clement Leroy | Cl\'ement Leroy (INTUIDOC), Eric Anquetil (INTUIDOC), Nathalie Girard
(INTUIDOC) | Drift anticipation with forgetting to improve evolving fuzzy system | null | 25th International Conference on Pattern Recognition (ICPR2020),
Jan 2021, Milan, Italy | null | null | cs.AI cs.LG cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Working with a non-stationary stream of data requires for the analysis system
to evolve its model (the parameters as well as the structure) over time. In
particular, concept drifts can occur, which makes it necessary to forget
knowledge that has become obsolete. However, the forgetting is subjected to the
stability-p... | [
{
"created": "Thu, 7 Jan 2021 09:21:27 GMT",
"version": "v1"
}
] | 2021-01-08 | [
[
"Leroy",
"Clément",
"",
"INTUIDOC"
],
[
"Anquetil",
"Eric",
"",
"INTUIDOC"
],
[
"Girard",
"Nathalie",
"",
"INTUIDOC"
]
] |
2101.02480 | Tugdual Ceillier | Alex Goupilleau, Tugdual Ceillier, Marie-Caroline Corbineau | Active learning for object detection in high-resolution satellite images | null | Conference on Artificial Intelligence for Defense, Dec 2020,
Rennes, France | null | null | cs.CV cs.LG cs.NE eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In machine learning, the term active learning regroups techniques that aim at
selecting the most useful data to label from a large pool of unlabelled
examples. While supervised deep learning techniques have shown to be
increasingly efficient on many applications, they require a huge number of
labelled examples to rea... | [
{
"created": "Thu, 7 Jan 2021 10:57:38 GMT",
"version": "v1"
}
] | 2021-01-08 | [
[
"Goupilleau",
"Alex",
""
],
[
"Ceillier",
"Tugdual",
""
],
[
"Corbineau",
"Marie-Caroline",
""
]
] |
2101.02486 | Leonardo Maria Millefiori | Samuele Capobianco, Leonardo M. Millefiori, Nicola Forti, Paolo Braca,
and Peter Willett | Deep Learning Methods for Vessel Trajectory Prediction based on
Recurrent Neural Networks | Accepted for publications in IEEE Transactions on Aerospace and
Electronic Systems, 17 pages, 9 figures | IEEE Transactions on Aerospace and Electronic Systems, vol. 57,
no. 6, pp. 4329-4346, 2021 | 10.1109/TAES.2021.3096873 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Data-driven methods open up unprecedented possibilities for maritime
surveillance using Automatic Identification System (AIS) data. In this work, we
explore deep learning strategies using historical AIS observations to address
the problem of predicting future vessel trajectories with a prediction horizon
of several h... | [
{
"created": "Thu, 7 Jan 2021 11:05:47 GMT",
"version": "v1"
},
{
"created": "Fri, 4 Jun 2021 11:49:02 GMT",
"version": "v2"
}
] | 2023-01-18 | [
[
"Capobianco",
"Samuele",
""
],
[
"Millefiori",
"Leonardo M.",
""
],
[
"Forti",
"Nicola",
""
],
[
"Braca",
"Paolo",
""
],
[
"Willett",
"Peter",
""
]
] |
2101.02496 | Manuel Lagunas | Manuel Lagunas, Ana Serrano, Diego Gutierrez, Belen Masia | The joint role of geometry and illumination on material recognition | 15 pages, 16 figures, Accepted to the Journal of Vision, 2021 | Journal of Vision February 2021, Vol.21, 2 | 10.1167/jov.21.2.2 | null | cs.CV cs.AI cs.GR | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Observing and recognizing materials is a fundamental part of our daily life.
Under typical viewing conditions, we are capable of effortlessly identifying
the objects that surround us and recognizing the materials they are made of.
Nevertheless, understanding the underlying perceptual processes that take place
to accu... | [
{
"created": "Thu, 7 Jan 2021 11:29:52 GMT",
"version": "v1"
},
{
"created": "Thu, 4 Feb 2021 12:35:25 GMT",
"version": "v2"
}
] | 2021-02-05 | [
[
"Lagunas",
"Manuel",
""
],
[
"Serrano",
"Ana",
""
],
[
"Gutierrez",
"Diego",
""
],
[
"Masia",
"Belen",
""
]
] |
2101.02522 | Vincent Aranega | Ronie Salgado, Marcus Denker (RMOD), St\'ephane Ducasse (RMOD), Anne
Etien (RMOD), Vincent Aranega (RMOD) | Towards a Smart Data Processing and Storage Model | null | IWST20: International Workshop on Smalltalk Technologies, Sep
2020, Novi Sad, Serbia | null | null | cs.CL cs.PL cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In several domains it is crucial to store and manipulate data whose origin
needs to be completely traceable to guarantee the consistency, trustworthiness
and reliability on the data itself typically for ethical and legal reasons. It
is also important to guarantee that such properties are also carried further
when suc... | [
{
"created": "Thu, 7 Jan 2021 12:52:11 GMT",
"version": "v1"
}
] | 2021-01-08 | [
[
"Salgado",
"Ronie",
"",
"RMOD"
],
[
"Denker",
"Marcus",
"",
"RMOD"
],
[
"Ducasse",
"Stéphane",
"",
"RMOD"
],
[
"Etien",
"Anne",
"",
"RMOD"
],
[
"Aranega",
"Vincent",
"",
"RMOD"
]
] |
2101.02559 | Lois Orosa | Muhammad Shafique, Mahum Naseer, Theocharis Theocharides, Christos
Kyrkou, Onur Mutlu, Lois Orosa, Jungwook Choi | Robust Machine Learning Systems: Challenges, Current Trends,
Perspectives, and the Road Ahead | Final version appears in https://ieeexplore.ieee.org/document/8979377 | IEEE Design and Test (Volume: 37, Issue: 2, April 2020): 30-57 | 10.1109/MDAT.2020.2971217 | null | cs.CR cs.AI cs.AR cs.LG cs.SY eess.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Machine Learning (ML) techniques have been rapidly adopted by smart
Cyber-Physical Systems (CPS) and Internet-of-Things (IoT) due to their powerful
decision-making capabilities. However, they are vulnerable to various security
and reliability threats, at both hardware and software levels, that compromise
their accura... | [
{
"created": "Mon, 4 Jan 2021 20:06:56 GMT",
"version": "v1"
}
] | 2021-01-08 | [
[
"Shafique",
"Muhammad",
""
],
[
"Naseer",
"Mahum",
""
],
[
"Theocharides",
"Theocharis",
""
],
[
"Kyrkou",
"Christos",
""
],
[
"Mutlu",
"Onur",
""
],
[
"Orosa",
"Lois",
""
],
[
"Choi",
"Jungwook",
""
]
] |
2101.02647 | Juana Valeria Hurtado | Juana Valeria Hurtado, Laura Londo\~no, and Abhinav Valada | From Learning to Relearning: A Framework for Diminishing Bias in Social
Robot Navigation | null | Frontiers in Robotics and AI, 2021 | 10.3389/frobt.2021.650325 | null | cs.RO cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The exponentially increasing advances in robotics and machine learning are
facilitating the transition of robots from being confined to controlled
industrial spaces to performing novel everyday tasks in domestic and urban
environments. In order to make the presence of robots safe as well as
comfortable for humans, an... | [
{
"created": "Thu, 7 Jan 2021 17:42:35 GMT",
"version": "v1"
},
{
"created": "Wed, 3 Mar 2021 18:42:23 GMT",
"version": "v2"
}
] | 2021-03-04 | [
[
"Hurtado",
"Juana Valeria",
""
],
[
"Londoño",
"Laura",
""
],
[
"Valada",
"Abhinav",
""
]
] |
2101.02767 | Joris Gu\'erin | Joris Guerin, Stephane Thiery, Eric Nyiri, Olivier Gibaru, Byron Boots | Combining pretrained CNN feature extractors to enhance clustering of
complex natural images | 21 pages, 16 figures, 10 tables, preprint of our paper published in
Neurocomputing | Guerin, J., Thiery, S., Nyiri, E., Gibaru, O., & Boots, B. (2021).
Combining pretrained CNN feature extractors to enhance clustering of complex
natural images. Neurocomputing, 423, 551-571 | 10.1016/j.neucom.2020.10.068 | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recently, a common starting point for solving complex unsupervised image
classification tasks is to use generic features, extracted with deep
Convolutional Neural Networks (CNN) pretrained on a large and versatile dataset
(ImageNet). However, in most research, the CNN architecture for feature
extraction is chosen arb... | [
{
"created": "Thu, 7 Jan 2021 21:23:04 GMT",
"version": "v1"
}
] | 2021-01-11 | [
[
"Guerin",
"Joris",
""
],
[
"Thiery",
"Stephane",
""
],
[
"Nyiri",
"Eric",
""
],
[
"Gibaru",
"Olivier",
""
],
[
"Boots",
"Byron",
""
]
] |
2101.02780 | Tanujay Saha | Tanujay Saha, Najwa Aaraj, Neel Ajjarapu, Niraj K. Jha | SHARKS: Smart Hacking Approaches for RisK Scanning in Internet-of-Things
and Cyber-Physical Systems based on Machine Learning | This article has been accepted in IEEE Transactions on Emerging
Topics in Computing. 17 pages, 12 figures, IEEE copyright | IEEE Transactions on Emerging Topics in Computing, 2021 | 10.1109/TETC.2021.3050733 | null | cs.CR cs.AI cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Cyber-physical systems (CPS) and Internet-of-Things (IoT) devices are
increasingly being deployed across multiple functionalities, ranging from
healthcare devices and wearables to critical infrastructures, e.g., nuclear
power plants, autonomous vehicles, smart cities, and smart homes. These devices
are inherently not... | [
{
"created": "Thu, 7 Jan 2021 22:01:30 GMT",
"version": "v1"
},
{
"created": "Wed, 19 Oct 2022 22:02:25 GMT",
"version": "v2"
}
] | 2022-10-21 | [
[
"Saha",
"Tanujay",
""
],
[
"Aaraj",
"Najwa",
""
],
[
"Ajjarapu",
"Neel",
""
],
[
"Jha",
"Niraj K.",
""
]
] |
2101.02797 | Nisreen Ali | Nisreen AbdAllah and Serestina Viriri | Off-Line Arabic Handwritten Words Segmentation using Morphological
Operators | 16 pages,27 figures | Signal & Image Processing: An International Journal (SIPIJ)
Vol.11, No.6, December 2020 | 10.5121/sipij.2020.11602 | null | cs.CV cs.CL cs.LG | http://creativecommons.org/licenses/by/4.0/ | The main aim of this study is the assessment and discussion of a model for
hand-written Arabic through segmentation. The framework is proposed based on
three steps: pre-processing, segmentation, and evaluation. In the
pre-processing step, morphological operators are applied for Connecting Gaps
(CGs) in written words.... | [
{
"created": "Thu, 7 Jan 2021 23:38:53 GMT",
"version": "v1"
}
] | 2021-01-11 | [
[
"AbdAllah",
"Nisreen",
""
],
[
"Viriri",
"Serestina",
""
]
] |
2101.02991 | Pathan Faisal Khan | Faisal Khan and Debdeep Bose | Artificial Intelligence enabled Smart Learning | 4 | ETH Learning and Teaching Journal: ICED 2020 Proceedings (2020)
153-156 | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Artificial Intelligence (AI) is a discipline of computer science that deals
with machine intelligence. It is essential to bring AI into the context of
learning because it helps in analysing the enormous amounts of data that is
collected from individual students, teachers and academic staff. The major
priorities of im... | [
{
"created": "Fri, 8 Jan 2021 12:49:33 GMT",
"version": "v1"
}
] | 2021-01-11 | [
[
"Khan",
"Faisal",
""
],
[
"Bose",
"Debdeep",
""
]
] |
2101.03013 | Iknoor Singh | Iknoor Singh, Carolina Scarton, Kalina Bontcheva | Multistage BiCross encoder for multilingual access to COVID-19 health
information | null | PLOS ONE 2021 | 10.1371/journal.pone.0256874 | null | cs.AI cs.IR cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Coronavirus (COVID-19) pandemic has led to a rapidly growing 'infodemic'
of health information online. This has motivated the need for accurate semantic
search and retrieval of reliable COVID-19 information across millions of
documents, in multiple languages. To address this challenge, this paper
proposes a novel... | [
{
"created": "Fri, 8 Jan 2021 13:59:26 GMT",
"version": "v1"
},
{
"created": "Fri, 15 Jan 2021 20:38:23 GMT",
"version": "v2"
},
{
"created": "Thu, 26 Aug 2021 15:49:10 GMT",
"version": "v3"
}
] | 2022-05-31 | [
[
"Singh",
"Iknoor",
""
],
[
"Scarton",
"Carolina",
""
],
[
"Bontcheva",
"Kalina",
""
]
] |
2101.03037 | Bobak Kiani | Bobak Toussi Kiani, Giacomo De Palma, Milad Marvian, Zi-Wen Liu, Seth
Lloyd | Learning quantum data with the quantum Earth Mover's distance | null | Quantum Science and Technology 7(4), 045002 (2022) | 10.1088/2058-9565/ac79c9 | null | quant-ph cs.AI cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Quantifying how far the output of a learning algorithm is from its target is
an essential task in machine learning. However, in quantum settings, the loss
landscapes of commonly used distance metrics often produce undesirable outcomes
such as poor local minima and exponentially decaying gradients. To overcome
these o... | [
{
"created": "Fri, 8 Jan 2021 14:33:19 GMT",
"version": "v1"
},
{
"created": "Mon, 16 May 2022 13:14:46 GMT",
"version": "v2"
}
] | 2022-07-07 | [
[
"Kiani",
"Bobak Toussi",
""
],
[
"De Palma",
"Giacomo",
""
],
[
"Marvian",
"Milad",
""
],
[
"Liu",
"Zi-Wen",
""
],
[
"Lloyd",
"Seth",
""
]
] |
2101.03154 | Fanjie Kong | Fanjie Kong, Xiao-yang Liu, Ricardo Henao | Quantum Tensor Network in Machine Learning: An Application to Tiny
Object Classification | 8 pages, 7 figures | https://tensorworkshop.github.io/NeurIPS2020/CFP.html | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Tiny object classification problem exists in many machine learning
applications like medical imaging or remote sensing, where the object of
interest usually occupies a small region of the whole image. It is challenging
to design an efficient machine learning model with respect to tiny object of
interest. Current neur... | [
{
"created": "Fri, 8 Jan 2021 18:33:52 GMT",
"version": "v1"
}
] | 2021-01-11 | [
[
"Kong",
"Fanjie",
""
],
[
"Liu",
"Xiao-yang",
""
],
[
"Henao",
"Ricardo",
""
]
] |
2101.03169 | Wen Liu | Maohan Liang, Ryan Wen Liu, Shichen Li, Zhe Xiao, Xin Liu, Feng Lu | An Unsupervised Learning Method with Convolutional Auto-Encoder for
Vessel Trajectory Similarity Computation | 22 pages, 16 figures | Ocean Engineering, 2021 | 10.1016/j.oceaneng.2021.108803 | null | cs.LG cs.AI cs.CV | http://creativecommons.org/licenses/by/4.0/ | To achieve reliable mining results for massive vessel trajectories, one of
the most important challenges is how to efficiently compute the similarities
between different vessel trajectories. The computation of vessel trajectory
similarity has recently attracted increasing attention in the maritime data
mining researc... | [
{
"created": "Sun, 10 Jan 2021 04:42:11 GMT",
"version": "v1"
}
] | 2021-06-11 | [
[
"Liang",
"Maohan",
""
],
[
"Liu",
"Ryan Wen",
""
],
[
"Li",
"Shichen",
""
],
[
"Xiao",
"Zhe",
""
],
[
"Liu",
"Xin",
""
],
[
"Lu",
"Feng",
""
]
] |
2101.03198 | Badri Narayanan | Badri Narayanan, Mohamed Saadeldin, Paul Albert, Kevin McGuinness, and
Brian Mac Namee | Extracting Pasture Phenotype and Biomass Percentages using Weakly
Supervised Multi-target Deep Learning on a Small Dataset | null | Irish Machine Vision and Image Processing Conference (2020) 21-28 | null | null | cs.CV cs.LG | http://creativecommons.org/licenses/by/4.0/ | The dairy industry uses clover and grass as fodder for cows. Accurate
estimation of grass and clover biomass yield enables smart decisions in
optimizing fertilization and seeding density, resulting in increased
productivity and positive environmental impact. Grass and clover are usually
planted together, since clover... | [
{
"created": "Fri, 8 Jan 2021 19:41:46 GMT",
"version": "v1"
}
] | 2021-01-12 | [
[
"Narayanan",
"Badri",
""
],
[
"Saadeldin",
"Mohamed",
""
],
[
"Albert",
"Paul",
""
],
[
"McGuinness",
"Kevin",
""
],
[
"Mac Namee",
"Brian",
""
]
] |
2101.03221 | Stefano Martina | Stefano Martina, Stefano Gherardini, Filippo Caruso | Machine learning classification of non-Markovian noise disturbing
quantum dynamics | 19 pages, 3 figures, 3 tables; v3: Changed title and improved
presentation of the results | Physica Scripta 98 (3), 035104 (2023) | 10.1088/1402-4896/acb39b | null | quant-ph cond-mat.dis-nn cs.AI cs.LG cs.NE | http://creativecommons.org/licenses/by/4.0/ | In this paper machine learning and artificial neural network models are
proposed for the classification of external noise sources affecting a given
quantum dynamics. For this purpose, we train and then validate support vector
machine, multi-layer perceptron and recurrent neural network models with
different complexit... | [
{
"created": "Fri, 8 Jan 2021 20:56:56 GMT",
"version": "v1"
},
{
"created": "Fri, 22 Apr 2022 12:49:06 GMT",
"version": "v2"
},
{
"created": "Wed, 8 Feb 2023 11:23:13 GMT",
"version": "v3"
}
] | 2023-02-17 | [
[
"Martina",
"Stefano",
""
],
[
"Gherardini",
"Stefano",
""
],
[
"Caruso",
"Filippo",
""
]
] |
2101.03553 | Sayar Ghosh Roy | Sayar Ghosh Roy, Nikhil Pinnaparaju, Risubh Jain, Manish Gupta,
Vasudeva Varma | Summaformers @ LaySumm 20, LongSumm 20 | Proceedings of the First Workshop on Scholarly Document Processing
(SDP) at EMNLP 2020 | In Proceedings of the First Workshop on Scholarly Document
Processing, pages 336 - 343, 2020, Online. Association for Computational
Linguistics | 10.18653/v1/2020.sdp-1.39 | IIIT/TR/2020/75 | cs.CL cs.AI cs.IR cs.LG | http://creativecommons.org/licenses/by/4.0/ | Automatic text summarization has been widely studied as an important task in
natural language processing. Traditionally, various feature engineering and
machine learning based systems have been proposed for extractive as well as
abstractive text summarization. Recently, deep learning based, specifically
Transformer-b... | [
{
"created": "Sun, 10 Jan 2021 13:48:12 GMT",
"version": "v1"
}
] | 2021-01-12 | [
[
"Roy",
"Sayar Ghosh",
""
],
[
"Pinnaparaju",
"Nikhil",
""
],
[
"Jain",
"Risubh",
""
],
[
"Gupta",
"Manish",
""
],
[
"Varma",
"Vasudeva",
""
]
] |
2101.03678 | Yan Qin | Xuewen Zhang, Yan Qin, Chau Yuen (Fellow IEEE), Lahiru Jayasinghe, and
Xiang Liu | Time-Series Regeneration with Convolutional Recurrent Generative
Adversarial Network for Remaining Useful Life Estimation | null | This paper has been accetped by IEEE Transactions on Industrial
Informatics in Dec. 2020 | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by-sa/4.0/ | For health prognostic task, ever-increasing efforts have been focused on
machine learning-based methods, which are capable of yielding accurate
remaining useful life (RUL) estimation for industrial equipment or components
without exploring the degradation mechanism. A prerequisite ensuring the
success of these method... | [
{
"created": "Mon, 11 Jan 2021 02:44:34 GMT",
"version": "v1"
}
] | 2021-01-13 | [
[
"Zhang",
"Xuewen",
"",
"Fellow IEEE"
],
[
"Qin",
"Yan",
"",
"Fellow IEEE"
],
[
"Yuen",
"Chau",
"",
"Fellow IEEE"
],
[
"Jayasinghe",
"Lahiru",
""
],
[
"Liu",
"Xiang",
""
]
] |
2101.03916 | Sourav Ghosh | Sourav Ghosh, Sourabh Vasant Gothe, Chandramouli Sanchi, Barath Raj
Kandur Raja | edATLAS: An Efficient Disambiguation Algorithm for Texting in Languages
with Abugida Scripts | Published in 2021 IEEE 15th International Conference on Semantic
Computing (ICSC) | 2021 IEEE 15th International Conference on Semantic Computing
(ICSC), Laguna Hills, CA, USA, 2021, pp. 325-332 | 10.1109/ICSC50631.2021.00061 | null | cs.CL | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Abugida refers to a phonogram writing system where each syllable is
represented using a single consonant or typographic ligature, along with a
default vowel or optional diacritic(s) to denote other vowels. However, texting
in these languages has some unique challenges in spite of the advent of devices
with soft keybo... | [
{
"created": "Tue, 5 Jan 2021 03:16:34 GMT",
"version": "v1"
},
{
"created": "Mon, 29 Mar 2021 19:07:01 GMT",
"version": "v2"
}
] | 2021-03-31 | [
[
"Ghosh",
"Sourav",
""
],
[
"Gothe",
"Sourabh Vasant",
""
],
[
"Sanchi",
"Chandramouli",
""
],
[
"Raja",
"Barath Raj Kandur",
""
]
] |
2101.03929 | Shaofei Huang | Shaofei Huang, Si Liu, Tianrui Hui, Jizhong Han, Bo Li, Jiashi Feng
and Shuicheng Yan | ORDNet: Capturing Omni-Range Dependencies for Scene Parsing | Published at TIP | IEEE Transactions on Image Processing, 2020, 29: 8251-8263 | 10.1109/TIP.2020.3013142 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Learning to capture dependencies between spatial positions is essential to
many visual tasks, especially the dense labeling problems like scene parsing.
Existing methods can effectively capture long-range dependencies with
self-attention mechanism while short ones by local convolution. However, there
is still much ga... | [
{
"created": "Mon, 11 Jan 2021 14:51:11 GMT",
"version": "v1"
}
] | 2021-01-12 | [
[
"Huang",
"Shaofei",
""
],
[
"Liu",
"Si",
""
],
[
"Hui",
"Tianrui",
""
],
[
"Han",
"Jizhong",
""
],
[
"Li",
"Bo",
""
],
[
"Feng",
"Jiashi",
""
],
[
"Yan",
"Shuicheng",
""
]
] |
2101.03963 | Sourav Ghosh | Sourabh Vasant Gothe, Sourav Ghosh, Sharmila Mani, Guggilla Bhanodai,
Ankur Agarwal, Chandramouli Sanchi | Language Detection Engine for Multilingual Texting on Mobile Devices | 2020 IEEE 14th International Conference on Semantic Computing (ICSC).
Accessible at https://ieeexplore.ieee.org/document/9031474 | 2020 IEEE 14th International Conference on Semantic Computing
(ICSC), San Diego, CA, USA, 2020, pp. 279-286 | 10.1109/ICSC.2020.00057 | null | cs.CL | http://creativecommons.org/licenses/by-nc-nd/4.0/ | More than 2 billion mobile users worldwide type in multiple languages in the
soft keyboard. On a monolingual keyboard, 38% of falsely auto-corrected words
are valid in another language. This can be easily avoided by detecting the
language of typed words and then validating it in its respective language.
Language dete... | [
{
"created": "Thu, 7 Jan 2021 16:49:47 GMT",
"version": "v1"
}
] | 2021-01-12 | [
[
"Gothe",
"Sourabh Vasant",
""
],
[
"Ghosh",
"Sourav",
""
],
[
"Mani",
"Sharmila",
""
],
[
"Bhanodai",
"Guggilla",
""
],
[
"Agarwal",
"Ankur",
""
],
[
"Sanchi",
"Chandramouli",
""
]
] |
2101.03966 | Anis Rahman | Maryam Qamar Butt and Anis Ur Rahman | Audiovisual Saliency Prediction in Uncategorized Video Sequences based
on Audio-Video Correlation | 9 pages, 2 figures, 4 tables | IEEE Access 11 (2023) 15460-15470 | 10.1109/ACCESS.2023.3244191 | null | eess.IV cs.CV eess.SP | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Substantial research has been done in saliency modeling to develop
intelligent machines that can perceive and interpret their surroundings. But
existing models treat videos as merely image sequences excluding any audio
information, unable to cope with inherently varying content. Based on the
hypothesis that an audiov... | [
{
"created": "Thu, 7 Jan 2021 14:22:29 GMT",
"version": "v1"
}
] | 2023-02-27 | [
[
"Butt",
"Maryam Qamar",
""
],
[
"Rahman",
"Anis Ur",
""
]
] |
2101.03967 | Sourav Ghosh | Sharmila Mani, Sourabh Vasant Gothe, Sourav Ghosh, Ajay Kumar Mishra,
Prakhar Kulshreshtha, Bhargavi M, Muthu Kumaran | Real-Time Optimized N-gram For Mobile Devices | 2019 IEEE 13th International Conference on Semantic Computing (ICSC).
Accessible at https://ieeexplore.ieee.org/document/8665639 | 2019 IEEE 13th International Conference on Semantic Computing
(ICSC), Newport Beach, CA, USA, 2019, pp. 87-92 | 10.1109/ICOSC.2019.8665639 | null | cs.CL | http://creativecommons.org/licenses/by-nc-nd/4.0/ | With the increasing number of mobile devices, there has been continuous
research on generating optimized Language Models (LMs) for soft keyboard. In
spite of advances in this domain, building a single LM for low-end feature
phones as well as high-end smartphones is still a pressing need. Hence, we
propose a novel tec... | [
{
"created": "Thu, 7 Jan 2021 14:51:26 GMT",
"version": "v1"
}
] | 2021-01-12 | [
[
"Mani",
"Sharmila",
""
],
[
"Gothe",
"Sourabh Vasant",
""
],
[
"Ghosh",
"Sourav",
""
],
[
"Mishra",
"Ajay Kumar",
""
],
[
"Kulshreshtha",
"Prakhar",
""
],
[
"M",
"Bhargavi",
""
],
[
"Kumaran",
"Muthu",
""
... |
2101.04017 | Antonio Lieto | Antonio Lieto, Gian Luca Pozzato, Stefano Zoia, Viviana Patti, Rossana
Damiano | A Commonsense Reasoning Framework for Explanatory Emotion Attribution,
Generation and Re-classification | 50 pages. This work has been partially funded from the European
Research Council (ERC) under the European Union'sHorizon 2020 research and
innovation programme, grant agreement n{\deg}870811 | Knowledge-Based Systems, 2021 | 10.1016/j.knosys.2021.107166 | null | cs.AI | http://creativecommons.org/licenses/by/4.0/ | We present DEGARI (Dynamic Emotion Generator And ReclassIfier), an
explainable system for emotion attribution and recommendation. This system
relies on a recently introduced commonsense reasoning framework, the TCL logic,
which is based on a human-like procedure for the automatic generation of novel
concepts in a Des... | [
{
"created": "Mon, 11 Jan 2021 16:44:38 GMT",
"version": "v1"
},
{
"created": "Fri, 14 May 2021 13:58:59 GMT",
"version": "v2"
},
{
"created": "Wed, 26 May 2021 13:48:08 GMT",
"version": "v3"
},
{
"created": "Mon, 31 May 2021 20:53:30 GMT",
"version": "v4"
},
{
"c... | 2021-06-03 | [
[
"Lieto",
"Antonio",
""
],
[
"Pozzato",
"Gian Luca",
""
],
[
"Zoia",
"Stefano",
""
],
[
"Patti",
"Viviana",
""
],
[
"Damiano",
"Rossana",
""
]
] |
2101.04086 | An Nguyen | An Nguyen, Stefan Foerstel, Thomas Kittler, Andrey Kurzyukov, Leo
Schwinn, Dario Zanca, Tobias Hipp, Da Jun Sun, Michael Schrapp, Eva Rothgang,
Bjoern Eskofier | System Design for a Data-driven and Explainable Customer Sentiment
Monitor | null | IEEE Access 9 (2021): 117140-117152 | 10.1109/ACCESS.2021.3106791 | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The most important goal of customer services is to keep the customer
satisfied. However, service resources are always limited and must be
prioritized. Therefore, it is important to identify customers who potentially
become unsatisfied and might lead to escalations. Today this prioritization of
customers is often done... | [
{
"created": "Mon, 11 Jan 2021 18:29:50 GMT",
"version": "v1"
}
] | 2022-01-11 | [
[
"Nguyen",
"An",
""
],
[
"Foerstel",
"Stefan",
""
],
[
"Kittler",
"Thomas",
""
],
[
"Kurzyukov",
"Andrey",
""
],
[
"Schwinn",
"Leo",
""
],
[
"Zanca",
"Dario",
""
],
[
"Hipp",
"Tobias",
""
],
[
"Sun",... |
2101.04255 | Dominic Widdows | Dominic Widdows and Kirsty Kitto and Trevor Cohen | Quantum Mathematics in Artificial Intelligence | Adding journal reference, recommended by JAIR editors upon
publication | Journal of Artificial Intelligence Research 72 (2021) 1307-1341 | 10.1613/jair.1.12702 | null | cs.AI cs.CL cs.IR | http://creativecommons.org/licenses/by-sa/4.0/ | In the decade since 2010, successes in artificial intelligence have been at
the forefront of computer science and technology, and vector space models have
solidified a position at the forefront of artificial intelligence. At the same
time, quantum computers have become much more powerful, and announcements of
major a... | [
{
"created": "Tue, 12 Jan 2021 01:35:56 GMT",
"version": "v1"
},
{
"created": "Wed, 20 Jan 2021 20:58:51 GMT",
"version": "v2"
},
{
"created": "Mon, 1 Feb 2021 17:36:32 GMT",
"version": "v3"
},
{
"created": "Tue, 14 Sep 2021 16:14:04 GMT",
"version": "v4"
},
{
"cr... | 2021-12-17 | [
[
"Widdows",
"Dominic",
""
],
[
"Kitto",
"Kirsty",
""
],
[
"Cohen",
"Trevor",
""
]
] |
2101.04262 | Praveen Abbaraju | Upinder Kaur, Praveen Abbaraju, Harrison McCarty, and Richard M.
Voyles | Clutter Slices Approach for Identification-on-the-fly of Indoor Spaces | First two authors share equal contribution. Presented at ICPR2020 The
25th International Conference on Pattern Recognition, PRAConBE Workshop | 2020 Springer Lecture Notes in Computer Science | null | null | cs.RO cs.CV | http://creativecommons.org/licenses/by/4.0/ | Construction spaces are constantly evolving, dynamic environments in need of
continuous surveying, inspection, and assessment. Traditional manual inspection
of such spaces proves to be an arduous and time-consuming activity. Automation
using robotic agents can be an effective solution. Robots, with perception
capabil... | [
{
"created": "Tue, 12 Jan 2021 02:05:33 GMT",
"version": "v1"
}
] | 2021-01-13 | [
[
"Kaur",
"Upinder",
""
],
[
"Abbaraju",
"Praveen",
""
],
[
"McCarty",
"Harrison",
""
],
[
"Voyles",
"Richard M.",
""
]
] |
2101.04355 | Ilias Chalkidis | Ilias Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis, Ion
Androutsopoulos | Neural Contract Element Extraction Revisited: Letters from Sesame Street | 6 pages | updated version of the paper presented at Document Intelligence
Workshop (NeurIPS 2019 Workshop) | null | null | cs.CL | http://creativecommons.org/licenses/by-sa/4.0/ | We investigate contract element extraction. We show that LSTM-based encoders
perform better than dilated CNNs, Transformers, and BERT in this task. We also
find that domain-specific WORD2VEC embeddings outperform generic pre-trained
GLOVE embeddings. Morpho-syntactic features in the form of POS tag and token
shape em... | [
{
"created": "Tue, 12 Jan 2021 09:02:22 GMT",
"version": "v1"
},
{
"created": "Mon, 22 Feb 2021 13:55:41 GMT",
"version": "v2"
}
] | 2021-02-23 | [
[
"Chalkidis",
"Ilias",
""
],
[
"Fergadiotis",
"Manos",
""
],
[
"Malakasiotis",
"Prodromos",
""
],
[
"Androutsopoulos",
"Ion",
""
]
] |
2101.04377 | Jiajia Guo | Jiajia Guo, Chao-Kai Wen, Shi Jin | CAnet: Uplink-aided Downlink Channel Acquisition in FDD Massive MIMO
using Deep Learning | This work has been submitted to the IEEE for possible publication.
Copyright may be transferred without notice, after which this version may no
longer be accessible | IEEE Transactions on Communications 2021 | 10.1109/TCOMM.2021.3120294 | null | cs.IT cs.AI math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In frequency-division duplexing systems, the downlink channel state
information (CSI) acquisition scheme leads to high training and feedback
overheads. In this paper, we propose an uplink-aided downlink channel
acquisition framework using deep learning to reduce these overheads. Unlike
most existing works that focus ... | [
{
"created": "Tue, 12 Jan 2021 10:12:28 GMT",
"version": "v1"
}
] | 2021-11-23 | [
[
"Guo",
"Jiajia",
""
],
[
"Wen",
"Chao-Kai",
""
],
[
"Jin",
"Shi",
""
]
] |
2101.04378 | Laurent Najman | Jord{\~a}o Bragantini (IC), Alexandre X Falc{\~a}o (IC), Laurent
Najman (LIGM) | Rethinking Interactive Image Segmentation: Feature Space Annotation | null | Pattern Recognition, Elsevier, In press | 10.1016/j.patcog.2022.108882 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Despite the progress of interactive image segmentation methods, high-quality
pixel-level annotation is still time-consuming and laborious - a bottleneck for
several deep learning applications. We take a step back to propose interactive
and simultaneous segment annotation from multiple images guided by feature
space p... | [
{
"created": "Tue, 12 Jan 2021 10:13:35 GMT",
"version": "v1"
},
{
"created": "Thu, 2 Dec 2021 10:18:03 GMT",
"version": "v2"
},
{
"created": "Mon, 11 Jul 2022 09:34:07 GMT",
"version": "v3"
}
] | 2022-07-12 | [
[
"Bragantini",
"Jord{ã}o",
"",
"IC"
],
[
"Falc{ã}o",
"Alexandre X",
"",
"IC"
],
[
"Najman",
"Laurent",
"",
"LIGM"
]
] |
2101.04431 | Jorge Beltr\'an | Jorge Beltr\'an, Carlos Guindel, Arturo de la Escalera, Fernando
Garc\'ia | Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor
Setups | Published on IEEE Transactions on Intelligent Transportation Systems | IEEE Transactions on Intelligent Transportation Systems, 2022 | 10.1109/TITS.2022.3155228 | null | cs.RO cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Most sensor setups for onboard autonomous perception are composed of LiDARs
and vision systems, as they provide complementary information that improves the
reliability of the different algorithms necessary to obtain a robust scene
understanding. However, the effective use of information from different sources
require... | [
{
"created": "Tue, 12 Jan 2021 12:02:26 GMT",
"version": "v1"
},
{
"created": "Tue, 15 Mar 2022 16:10:22 GMT",
"version": "v2"
}
] | 2022-03-16 | [
[
"Beltrán",
"Jorge",
""
],
[
"Guindel",
"Carlos",
""
],
[
"de la Escalera",
"Arturo",
""
],
[
"García",
"Fernando",
""
]
] |
2101.04493 | Kseniya Cherenkova | Kseniya Cherenkova, Djamila Aouada, Gleb Gusev | PvDeConv: Point-Voxel Deconvolution for Autoencoding CAD Construction in
3D | 2020 IEEE International Conference on Image Processing (ICIP) | 2020 IEEE International Conference on Image Processing (ICIP),
2020, pp. 2741-2745 | 10.1109/ICIP40778.2020.9191095 | null | cs.CV cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | We propose a Point-Voxel DeConvolution (PVDeConv) module for 3D data
autoencoder. To demonstrate its efficiency we learn to synthesize
high-resolution point clouds of 10k points that densely describe the underlying
geometry of Computer Aided Design (CAD) models. Scanning artifacts, such as
protrusions, missing parts,... | [
{
"created": "Tue, 12 Jan 2021 14:14:13 GMT",
"version": "v1"
}
] | 2021-01-13 | [
[
"Cherenkova",
"Kseniya",
""
],
[
"Aouada",
"Djamila",
""
],
[
"Gusev",
"Gleb",
""
]
] |
2101.04520 | Morteza Haghir Chehreghani | Victor Eberstein, Jonas Sj\"oblom, Nikolce Murgovski, Morteza Haghir
Chehreghani | A Unified Framework for Online Trip Destination Prediction | This work is published by Springer, Machine Learning | Machine Learning, 111, 3839-3865, 2022 | 10.1007/s10994-022-06175-y | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Trip destination prediction is an area of increasing importance in many
applications such as trip planning, autonomous driving and electric vehicles.
Even though this problem could be naturally addressed in an online learning
paradigm where data is arriving in a sequential fashion, the majority of
research has rather... | [
{
"created": "Tue, 12 Jan 2021 14:45:27 GMT",
"version": "v1"
},
{
"created": "Thu, 29 Dec 2022 11:56:18 GMT",
"version": "v2"
}
] | 2023-01-02 | [
[
"Eberstein",
"Victor",
""
],
[
"Sjöblom",
"Jonas",
""
],
[
"Murgovski",
"Nikolce",
""
],
[
"Chehreghani",
"Morteza Haghir",
""
]
] |
2101.04640 | Filip Ilievski | Filip Ilievski, Alessandro Oltramari, Kaixin Ma, Bin Zhang, Deborah L.
McGuinness, Pedro Szekely | Dimensions of Commonsense Knowledge | null | Knowledge-Based Systems 2021 | null | null | cs.AI | http://creativecommons.org/publicdomain/zero/1.0/ | Commonsense knowledge is essential for many AI applications, including those
in natural language processing, visual processing, and planning. Consequently,
many sources that include commonsense knowledge have been designed and
constructed over the past decades. Recently, the focus has been on large
text-based sources... | [
{
"created": "Tue, 12 Jan 2021 17:52:39 GMT",
"version": "v1"
},
{
"created": "Thu, 29 Jul 2021 06:28:37 GMT",
"version": "v2"
}
] | 2021-07-30 | [
[
"Ilievski",
"Filip",
""
],
[
"Oltramari",
"Alessandro",
""
],
[
"Ma",
"Kaixin",
""
],
[
"Zhang",
"Bin",
""
],
[
"McGuinness",
"Deborah L.",
""
],
[
"Szekely",
"Pedro",
""
]
] |
2101.04727 | Hossein Rajaby Faghihi | Hossein Rajaby Faghihi, Roshanak Mirzaee, Sudarshan Paliwal, and
Parisa Kordjamshidi | Latent Alignment of Procedural Concepts in Multimodal Recipes | Published in ALVR 2020, a workshop in ACL 2020 | Proceedings of the First Workshop on Advances in Language and
Vision Research 2020 (26-31) | 10.18653/v1/2020.alvr-1.5 | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a novel alignment mechanism to deal with procedural reasoning on a
newly released multimodal QA dataset, named RecipeQA. Our model is solving the
textual cloze task which is a reading comprehension on a recipe containing
images and instructions. We exploit the power of attention networks,
cross-modal repre... | [
{
"created": "Tue, 12 Jan 2021 19:55:53 GMT",
"version": "v1"
}
] | 2021-01-14 | [
[
"Faghihi",
"Hossein Rajaby",
""
],
[
"Mirzaee",
"Roshanak",
""
],
[
"Paliwal",
"Sudarshan",
""
],
[
"Kordjamshidi",
"Parisa",
""
]
] |
2101.04792 | Nikolay Mikhaylovskiy | Roman Vygon, Nikolay Mikhaylovskiy | Learning Efficient Representations for Keyword Spotting with Triplet
Loss | Submitted to SPECOM 2021 | In: Karpov A., Potapova R. (eds) Speech and Computer. SPECOM 2021.
Lecture Notes in Computer Science, vol 12997. Springer, Cham | 10.1007/978-3-030-87802-3_69 | null | eess.AS cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the past few years, triplet loss-based metric embeddings have become a
de-facto standard for several important computer vision problems, most
no-tably, person reidentification. On the other hand, in the area of speech
recognition the metric embeddings generated by the triplet loss are rarely used
even for classifi... | [
{
"created": "Tue, 12 Jan 2021 22:55:17 GMT",
"version": "v1"
},
{
"created": "Sat, 30 Jan 2021 16:48:16 GMT",
"version": "v2"
},
{
"created": "Fri, 16 Apr 2021 21:11:36 GMT",
"version": "v3"
},
{
"created": "Fri, 4 Jun 2021 22:20:46 GMT",
"version": "v4"
}
] | 2022-02-08 | [
[
"Vygon",
"Roman",
""
],
[
"Mikhaylovskiy",
"Nikolay",
""
]
] |
2101.04804 | Beatriz Asfora | Beatriz Arruda Asfora | Embedded Computer Vision System Applied to a Four-Legged Line Follower
Robot | null | 23rd ABCM International Congress of Mechanical
Engineering,December 6-11, 2015, Rio de Janeiro, RJ, Brazil | 10.20906/CPS/COB-2015-1649 | null | cs.RO cs.CV cs.SY eess.IV eess.SY | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Robotics can be defined as the connection of perception to action. Taking
this further, this project aims to drive a robot using an automated computer
vision embedded system, connecting the robot's vision to its behavior. In order
to implement a color recognition system on the robot, open source tools are
chosen, suc... | [
{
"created": "Tue, 12 Jan 2021 23:52:53 GMT",
"version": "v1"
}
] | 2021-01-14 | [
[
"Asfora",
"Beatriz Arruda",
""
]
] |
2101.04869 | Shengli Jiang | Shengli Jiang and Victor M. Zavala | Convolutional Neural Nets in Chemical Engineering: Foundations,
Computations, and Applications | null | AIChE J. 2021; e17282 | 10.1002/aic.17282 | null | cs.LG cs.AI | http://creativecommons.org/licenses/by/4.0/ | In this paper we review the mathematical foundations of convolutional neural
nets (CNNs) with the goals of: i) highlighting connections with techniques from
statistics, signal processing, linear algebra, differential equations, and
optimization, ii) demystifying underlying computations, and iii) identifying
new types... | [
{
"created": "Wed, 13 Jan 2021 04:20:42 GMT",
"version": "v1"
},
{
"created": "Wed, 7 Jul 2021 14:06:33 GMT",
"version": "v2"
}
] | 2021-07-08 | [
[
"Jiang",
"Shengli",
""
],
[
"Zavala",
"Victor M.",
""
]
] |
2101.04904 | Ali Ayub | Ali Ayub, Alan R. Wagner | EEC: Learning to Encode and Regenerate Images for Continual Learning | Added link to the code in the paper. A preliminary version of this
work was presented at ICML 2020 Workshop on Lifelong Machine Learning:
arXiv:2007.06637 | International Conference on Learning Representations (ICLR) 2021 | null | null | cs.CV cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | The two main impediments to continual learning are catastrophic forgetting
and memory limitations on the storage of data. To cope with these challenges,
we propose a novel, cognitively-inspired approach which trains autoencoders
with Neural Style Transfer to encode and store images. During training on a new
task, rec... | [
{
"created": "Wed, 13 Jan 2021 06:43:10 GMT",
"version": "v1"
},
{
"created": "Thu, 14 Jan 2021 09:16:24 GMT",
"version": "v2"
},
{
"created": "Mon, 5 Apr 2021 05:05:05 GMT",
"version": "v3"
},
{
"created": "Sun, 2 May 2021 05:45:03 GMT",
"version": "v4"
}
] | 2021-05-04 | [
[
"Ayub",
"Ali",
""
],
[
"Wagner",
"Alan R.",
""
]
] |
2101.04924 | Yu Wu | Yu Wu, Linchao Zhu, Xiaohan Wang, Yi Yang, Fei Wu | Learning to Anticipate Egocentric Actions by Imagination | Accepted to IEEE Transactions on Image Processing (TIP) | IEEE Transactions on Image Processing, vol. 30, pp. 1143-1152,
2021 | 10.1109/TIP.2020.3040521 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Anticipating actions before they are executed is crucial for a wide range of
practical applications, including autonomous driving and robotics. In this
paper, we study the egocentric action anticipation task, which predicts future
action seconds before it is performed for egocentric videos. Previous
approaches focus ... | [
{
"created": "Wed, 13 Jan 2021 08:04:10 GMT",
"version": "v1"
},
{
"created": "Tue, 19 Jan 2021 11:02:10 GMT",
"version": "v2"
}
] | 2021-01-20 | [
[
"Wu",
"Yu",
""
],
[
"Zhu",
"Linchao",
""
],
[
"Wang",
"Xiaohan",
""
],
[
"Yang",
"Yi",
""
],
[
"Wu",
"Fei",
""
]
] |
2101.04954 | Dazhen Deng | Dazhen Deng, Jiang Wu, Jiachen Wang, Yihong Wu, Xiao Xie, Zheng Zhou,
Hui Zhang, Xiaolong Zhang, Yingcai Wu | EventAnchor: Reducing Human Interactions in Event Annotation of Racket
Sports Videos | null | Proceedings of the 2021 CHI Conference on Human Factors in
Computing Systems | 10.1145/3411764.3445431 | null | cs.HC cs.CV | http://creativecommons.org/licenses/by/4.0/ | The popularity of racket sports (e.g., tennis and table tennis) leads to high
demands for data analysis, such as notational analysis, on player performance.
While sports videos offer many benefits for such analysis, retrieving accurate
information from sports videos could be challenging. In this paper, we propose
Eve... | [
{
"created": "Wed, 13 Jan 2021 09:32:05 GMT",
"version": "v1"
},
{
"created": "Thu, 14 Jan 2021 03:10:54 GMT",
"version": "v2"
}
] | 2021-05-21 | [
[
"Deng",
"Dazhen",
""
],
[
"Wu",
"Jiang",
""
],
[
"Wang",
"Jiachen",
""
],
[
"Wu",
"Yihong",
""
],
[
"Xie",
"Xiao",
""
],
[
"Zhou",
"Zheng",
""
],
[
"Zhang",
"Hui",
""
],
[
"Zhang",
"Xiaolong",
... |
2101.05018 | Xinggang Wang | Mengting Chen and Xinggang Wang and Heng Luo and Yifeng Geng and Wenyu
Liu | Learning to Focus: Cascaded Feature Matching Network for Few-shot Image
Recognition | 14 pages | SCIENCE CHINA Information Sciences, 2021 | 10.1007/s11432-020-2973-7 | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Deep networks can learn to accurately recognize objects of a category by
training on a large number of annotated images. However, a meta-learning
challenge known as a low-shot image recognition task comes when only a few
images with annotations are available for learning a recognition model for one
category. The obje... | [
{
"created": "Wed, 13 Jan 2021 11:37:28 GMT",
"version": "v1"
}
] | 2021-01-14 | [
[
"Chen",
"Mengting",
""
],
[
"Wang",
"Xinggang",
""
],
[
"Luo",
"Heng",
""
],
[
"Geng",
"Yifeng",
""
],
[
"Liu",
"Wenyu",
""
]
] |
2101.05050 | Stassa Patsantzis | Stassa Patsantzis, Stephen H. Muggleton | Top Program Construction and Reduction for polynomial time
Meta-Interpretive Learning | 25 pages, 3 figures, to be published in Machine Learning Journal
Special Issue on Learning and Reasoning | Mach.Learn. 100, 755-778 (2021) | 10.1007/s10994-020-05945-w | null | cs.AI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Meta-Interpretive Learners, like most ILP systems, learn by searching for a
correct hypothesis in the hypothesis space, the powerset of all constructible
clauses. We show how this exponentially-growing search can be replaced by the
construction of a Top program: the set of clauses in all correct hypotheses
that is it... | [
{
"created": "Wed, 13 Jan 2021 13:39:21 GMT",
"version": "v1"
}
] | 2021-09-14 | [
[
"Patsantzis",
"Stassa",
""
],
[
"Muggleton",
"Stephen H.",
""
]
] |
2101.05107 | Benjamin Congram | Benjamin Congram and Timothy D. Barfoot | Relatively Lazy: Indoor-Outdoor Navigation Using Vision and GNSS | Presented at CRV2021 | In Proceedings of the 18th Conference on Robots and Vision (CRV),
pages 25-32. Burnaby, British Columbia, 26-28 May 2021 | 10.1109/CRV52889.2021.00015 | null | cs.RO cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Visual Teach and Repeat has shown relative navigation is a robust and
efficient solution for autonomous vision-based path following in difficult
environments. Adding additional absolute sensors such as Global Navigation
Satellite Systems (GNSS) has the potential to expand the domain of Visual Teach
and Repeat to envi... | [
{
"created": "Wed, 13 Jan 2021 14:43:45 GMT",
"version": "v1"
},
{
"created": "Sat, 17 Jul 2021 19:47:18 GMT",
"version": "v2"
}
] | 2021-07-20 | [
[
"Congram",
"Benjamin",
""
],
[
"Barfoot",
"Timothy D.",
""
]
] |
2101.05108 | Thea Aarrestad | Thea Aarrestad, Vladimir Loncar, Nicol\`o Ghielmetti, Maurizio
Pierini, Sioni Summers, Jennifer Ngadiuba, Christoffer Petersson, Hampus
Linander, Yutaro Iiyama, Giuseppe Di Guglielmo, Javier Duarte, Philip Harris,
Dylan Rankin, Sergo Jindariani, Kevin Pedro, Nhan Tran, Mia Liu, Edward
Kreinar, Zhenbin Wu, and D... | Fast convolutional neural networks on FPGAs with hls4ml | 18 pages, 18 figures, 4 tables | Mach. Learn.: Sci. Technol. 2 045015 (2021) | 10.1088/2632-2153/ac0ea1 | null | cs.LG cs.CV hep-ex physics.ins-det stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce an automated tool for deploying ultra low-latency, low-power
deep neural networks with convolutional layers on FPGAs. By extending the
hls4ml library, we demonstrate an inference latency of $5\,\mu$s using
convolutional architectures, targeting microsecond latency applications like
those at the CERN Larg... | [
{
"created": "Wed, 13 Jan 2021 14:47:11 GMT",
"version": "v1"
},
{
"created": "Thu, 29 Apr 2021 11:30:02 GMT",
"version": "v2"
}
] | 2021-07-19 | [
[
"Aarrestad",
"Thea",
""
],
[
"Loncar",
"Vladimir",
""
],
[
"Ghielmetti",
"Nicolò",
""
],
[
"Pierini",
"Maurizio",
""
],
[
"Summers",
"Sioni",
""
],
[
"Ngadiuba",
"Jennifer",
""
],
[
"Petersson",
"Christoffer",
... |
2101.05181 | Lina Mezghani | Lina Mezghani, Sainbayar Sukhbaatar, Thibaut Lavril, Oleksandr
Maksymets, Dhruv Batra, Piotr Bojanowski, Karteek Alahari | Memory-Augmented Reinforcement Learning for Image-Goal Navigation | null | IEEE/RSJ International Conference on Intelligent Robots and
Systems (IROS) 2022 | null | null | cs.CV cs.AI cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work, we present a memory-augmented approach for image-goal
navigation. Earlier attempts, including RL-based and SLAM-based approaches have
either shown poor generalization performance, or are heavily-reliant on
pose/depth sensors. Our method is based on an attention-based end-to-end model
that leverages an e... | [
{
"created": "Wed, 13 Jan 2021 16:30:20 GMT",
"version": "v1"
},
{
"created": "Thu, 29 Apr 2021 13:02:39 GMT",
"version": "v2"
},
{
"created": "Wed, 25 Aug 2021 10:00:11 GMT",
"version": "v3"
},
{
"created": "Mon, 28 Feb 2022 15:38:39 GMT",
"version": "v4"
},
{
"c... | 2023-01-06 | [
[
"Mezghani",
"Lina",
""
],
[
"Sukhbaatar",
"Sainbayar",
""
],
[
"Lavril",
"Thibaut",
""
],
[
"Maksymets",
"Oleksandr",
""
],
[
"Batra",
"Dhruv",
""
],
[
"Bojanowski",
"Piotr",
""
],
[
"Alahari",
"Karteek",
"... |
2101.05231 | Keaton Hamm | HanQin Cai, Keaton Hamm, Longxiu Huang, Deanna Needell | Robust CUR Decomposition: Theory and Imaging Applications | null | SIAM Journal on Imaging Sciences 14.4 (2021): 1472-1503 | 10.1137/20M1388322 | null | cs.CV cs.LG eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper considers the use of Robust PCA in a CUR decomposition framework
and applications thereof. Our main algorithms produce a robust version of
column-row factorizations of matrices $\mathbf{D}=\mathbf{L}+\mathbf{S}$ where
$\mathbf{L}$ is low-rank and $\mathbf{S}$ contains sparse outliers. These
methods yield i... | [
{
"created": "Tue, 5 Jan 2021 17:58:15 GMT",
"version": "v1"
},
{
"created": "Thu, 5 Aug 2021 16:33:03 GMT",
"version": "v2"
}
] | 2023-02-28 | [
[
"Cai",
"HanQin",
""
],
[
"Hamm",
"Keaton",
""
],
[
"Huang",
"Longxiu",
""
],
[
"Needell",
"Deanna",
""
]
] |
2101.05339 | Tian Xie | Tian Xie, Arthur France-Lanord, Yanming Wang, Jeffrey Lopez, Michael
Austin Stolberg, Megan Hill, Graham Michael Leverick, Rafael
Gomez-Bombarelli, Jeremiah A. Johnson, Yang Shao-Horn, Jeffrey C. Grossman | Accelerating amorphous polymer electrolyte screening by learning to
reduce errors in molecular dynamics simulated properties | 29 pages, 6 figures + supplementary information | Nature communications 13.1 (2022): 1-10 | 10.1038/s41467-022-30994-1 | null | cond-mat.mtrl-sci cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Polymer electrolytes are promising candidates for the next generation
lithium-ion battery technology. Large scale screening of polymer electrolytes
is hindered by the significant cost of molecular dynamics (MD) simulation in
amorphous systems: the amorphous structure of polymers requires multiple,
repeated sampling t... | [
{
"created": "Wed, 13 Jan 2021 20:46:24 GMT",
"version": "v1"
},
{
"created": "Tue, 15 Mar 2022 23:50:28 GMT",
"version": "v2"
}
] | 2022-07-05 | [
[
"Xie",
"Tian",
""
],
[
"France-Lanord",
"Arthur",
""
],
[
"Wang",
"Yanming",
""
],
[
"Lopez",
"Jeffrey",
""
],
[
"Stolberg",
"Michael Austin",
""
],
[
"Hill",
"Megan",
""
],
[
"Leverick",
"Graham Michael",
... |
2101.05404 | Justyna P. Zwolak | Shangjie Guo, Amilson R. Fritsch, Craig Greenberg, I. B. Spielman,
Justyna P. Zwolak | Machine-learning enhanced dark soliton detection in Bose-Einstein
condensates | 17 pages, 5 figures | Mach. Learn.: Sci. Technol. 2: 035020 (2021) | 10.1088/2632-2153/abed1e | null | cond-mat.quant-gas cs.CV cs.LG quant-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Most data in cold-atom experiments comes from images, the analysis of which
is limited by our preconceptions of the patterns that could be present in the
data. We focus on the well-defined case of detecting dark solitons -- appearing
as local density depletions in a Bose-Einstein condensate (BEC) -- using a
methodolo... | [
{
"created": "Thu, 14 Jan 2021 00:44:56 GMT",
"version": "v1"
},
{
"created": "Thu, 17 Jun 2021 17:41:14 GMT",
"version": "v2"
}
] | 2021-06-18 | [
[
"Guo",
"Shangjie",
""
],
[
"Fritsch",
"Amilson R.",
""
],
[
"Greenberg",
"Craig",
""
],
[
"Spielman",
"I. B.",
""
],
[
"Zwolak",
"Justyna P.",
""
]
] |
2101.05418 | EPTCS | Luc Jaulin (Robex, Lab-STICC), Beno\^it Desrochers (DGA-TN) | Enclosing the Sliding Surfaces of a Controlled Swing | In Proceedings SNR 2020, arXiv:2101.05256 | EPTCS 331, 2021, pp. 43-55 | 10.4204/EPTCS.331.4 | null | cs.RO cs.AI cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | When implementing a non-continuous controller for a cyber-physical system, it
may happen that the evolution of the closed-loop system is not anymore
piecewise differentiable along the trajectory, mainly due to conditional
statements inside the controller. This may lead to some unwanted chattering
effects than may dam... | [
{
"created": "Thu, 14 Jan 2021 01:58:15 GMT",
"version": "v1"
}
] | 2021-01-15 | [
[
"Jaulin",
"Luc",
"",
"Robex, Lab-STICC"
],
[
"Desrochers",
"Benoît",
"",
"DGA-TN"
]
] |
2101.05439 | Xiaofeng Liu | Xiaofeng Liu, Fangxu Xing, Jerry L. Prince, Aaron Carass, Maureen
Stone, Georges El Fakhri, Jonghye Woo | Dual-cycle Constrained Bijective VAE-GAN For Tagged-to-Cine Magnetic
Resonance Image Synthesis | Accepted to IEEE International Symposium on Biomedical Imaging (ISBI)
2021 | 2021 IEEE 18th International Symposium on Biomedical Imaging
(ISBI) | 10.1109/ISBI48211.2021.9433852 | null | eess.IV cs.CV | http://creativecommons.org/licenses/by/4.0/ | Tagged magnetic resonance imaging (MRI) is a widely used imaging technique
for measuring tissue deformation in moving organs. Due to tagged MRI's
intrinsic low anatomical resolution, another matching set of cine MRI with
higher resolution is sometimes acquired in the same scanning session to
facilitate tissue segment... | [
{
"created": "Thu, 14 Jan 2021 03:27:16 GMT",
"version": "v1"
}
] | 2021-06-08 | [
[
"Liu",
"Xiaofeng",
""
],
[
"Xing",
"Fangxu",
""
],
[
"Prince",
"Jerry L.",
""
],
[
"Carass",
"Aaron",
""
],
[
"Stone",
"Maureen",
""
],
[
"Fakhri",
"Georges El",
""
],
[
"Woo",
"Jonghye",
""
]
] |
2101.05570 | Aythami Morales | Alejandro Acien and Aythami Morales and John V. Monaco and Ruben
Vera-Rodriguez and Julian Fierrez | TypeNet: Deep Learning Keystroke Biometrics | arXiv admin note: substantial text overlap with arXiv:2004.03627 | IEEE Transactions on Biometrics, Behavior, and Identity Science,
2021 | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | We study the performance of Long Short-Term Memory networks for keystroke
biometric authentication at large scale in free-text scenarios. For this we
explore the performance of Long Short-Term Memory (LSTMs) networks trained with
a moderate number of keystrokes per identity and evaluated under different
scenarios inc... | [
{
"created": "Thu, 14 Jan 2021 12:49:09 GMT",
"version": "v1"
},
{
"created": "Thu, 18 Feb 2021 17:40:57 GMT",
"version": "v2"
},
{
"created": "Mon, 13 Sep 2021 07:00:16 GMT",
"version": "v3"
}
] | 2021-09-14 | [
[
"Acien",
"Alejandro",
""
],
[
"Morales",
"Aythami",
""
],
[
"Monaco",
"John V.",
""
],
[
"Vera-Rodriguez",
"Ruben",
""
],
[
"Fierrez",
"Julian",
""
]
] |
2101.05593 | Renato Stoffalette Joao | Renato Stoffalette Joao | On the Temporality of Priors in Entity Linking | null | 2020 European Conference on Information Retrieval | null | null | cs.CL cs.LG | http://creativecommons.org/licenses/by/4.0/ | Entity linking is a fundamental task in natural language processing which
deals with the lexical ambiguity in texts. An important component in entity
linking approaches is the mention-to-entity prior probability. Even though
there is a large number of works in entity linking, the existing approaches do
not explicitly... | [
{
"created": "Thu, 14 Jan 2021 13:58:31 GMT",
"version": "v1"
}
] | 2021-01-15 | [
[
"Joao",
"Renato Stoffalette",
""
]
] |
2101.05779 | Giovanni Paolini | Giovanni Paolini, Ben Athiwaratkun, Jason Krone, Jie Ma, Alessandro
Achille, Rishita Anubhai, Cicero Nogueira dos Santos, Bing Xiang, Stefano
Soatto | Structured Prediction as Translation between Augmented Natural Languages | null | International Conference on Learning Representations (ICLR) 2021 | null | null | cs.LG cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a new framework, Translation between Augmented Natural Languages
(TANL), to solve many structured prediction language tasks including joint
entity and relation extraction, nested named entity recognition, relation
classification, semantic role labeling, event extraction, coreference
resolution, and dialogu... | [
{
"created": "Thu, 14 Jan 2021 18:32:21 GMT",
"version": "v1"
},
{
"created": "Thu, 28 Jan 2021 22:08:48 GMT",
"version": "v2"
},
{
"created": "Thu, 2 Dec 2021 19:55:57 GMT",
"version": "v3"
}
] | 2021-12-06 | [
[
"Paolini",
"Giovanni",
""
],
[
"Athiwaratkun",
"Ben",
""
],
[
"Krone",
"Jason",
""
],
[
"Ma",
"Jie",
""
],
[
"Achille",
"Alessandro",
""
],
[
"Anubhai",
"Rishita",
""
],
[
"Santos",
"Cicero Nogueira dos",
"... |
2101.05880 | Shenghui Li | Shenghui Li, Edith Ngai, Fanghua Ye, and Thiemo Voigt | Auto-weighted Robust Federated Learning with Corrupted Data Sources | null | ACM Transactions on Intelligent Systems and Technology (TIST) 13,5
(2022), 1-20 | 10.1145/3517821 | null | cs.LG cs.AI | http://creativecommons.org/licenses/by/4.0/ | Federated learning provides a communication-efficient and privacy-preserving
training process by enabling learning statistical models with massive
participants while keeping their data in local clients. However, standard
federated learning techniques that naively minimize an average loss function
are vulnerable to da... | [
{
"created": "Thu, 14 Jan 2021 21:54:55 GMT",
"version": "v1"
},
{
"created": "Wed, 31 Mar 2021 16:34:49 GMT",
"version": "v2"
},
{
"created": "Thu, 14 Jul 2022 00:18:27 GMT",
"version": "v3"
}
] | 2022-07-15 | [
[
"Li",
"Shenghui",
""
],
[
"Ngai",
"Edith",
""
],
[
"Ye",
"Fanghua",
""
],
[
"Voigt",
"Thiemo",
""
]
] |
2101.05954 | Devshree Patel | Devshree Patel, Ratnam Parikh, and Yesha Shastri | Recent Advances in Video Question Answering: A Review of Datasets and
Methods | 18 pages, 5 tables, Video and Image Question Answering Workshop, 25th
International Conference on Pattern Recognition | Pattern Recognition. ICPR International Workshops and Challenges.
ICPR 2021. Lecture Notes in Computer Science, vol 12662. Springer | 10.1007/978-3-030-68790-8_27 | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Video Question Answering (VQA) is a recent emerging challenging task in the
field of Computer Vision. Several visual information retrieval techniques like
Video Captioning/Description and Video-guided Machine Translation have preceded
the task of VQA. VQA helps to retrieve temporal and spatial information from
the vi... | [
{
"created": "Fri, 15 Jan 2021 03:26:24 GMT",
"version": "v1"
},
{
"created": "Thu, 18 Mar 2021 14:30:16 GMT",
"version": "v2"
}
] | 2021-03-19 | [
[
"Patel",
"Devshree",
""
],
[
"Parikh",
"Ratnam",
""
],
[
"Shastri",
"Yesha",
""
]
] |
2101.06021 | Pei Wang | Pei Wang, Wei Sun, Qingsen Yan, Axi Niu, Rui Li, Yu Zhu, Jinqiu Sun,
Yanning Zhang | Non-uniform Motion Deblurring with Blurry Component Divided Guidance | null | Pattern Recognition,Volume 120, December 2021, 108082 | 10.1016/j.patcog.2021.108082 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Blind image deblurring is a fundamental and challenging computer vision
problem, which aims to recover both the blur kernel and the latent sharp image
from only a blurry observation. Despite the superiority of deep learning
methods in image deblurring have displayed, there still exists major challenge
with various no... | [
{
"created": "Fri, 15 Jan 2021 09:10:35 GMT",
"version": "v1"
}
] | 2021-10-22 | [
[
"Wang",
"Pei",
""
],
[
"Sun",
"Wei",
""
],
[
"Yan",
"Qingsen",
""
],
[
"Niu",
"Axi",
""
],
[
"Li",
"Rui",
""
],
[
"Zhu",
"Yu",
""
],
[
"Sun",
"Jinqiu",
""
],
[
"Zhang",
"Yanning",
""
]
] |
2101.06040 | Evangelos Mazomenos | Patrick Brandao, Odysseas Zisimopoulos, Evangelos Mazomenos, Gastone
Ciuti, Jorge Bernal, Marco Visentini-Scarzanella, Arianna Menciassi, Paolo
Dario, Anastasios Koulaouzidis, Alberto Arezzo, David J Hawkes, Danail
Stoyanov | Towards a Computed-Aided Diagnosis System in Colonoscopy: Automatic
Polyp Segmentation Using Convolution Neural Networks | 10 pages, 6 figures | Journal of Medical Robotics Research, Volume 03, No. 02, 1840002
(2018) G | 10.1142/S2424905X18400020 | null | cs.CV cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Early diagnosis is essential for the successful treatment of bowel cancers
including colorectal cancer (CRC) and capsule endoscopic imaging with robotic
actuation can be a valuable diagnostic tool when combined with automated image
analysis. We present a deep learning rooted detection and segmentation
framework for r... | [
{
"created": "Fri, 15 Jan 2021 10:08:53 GMT",
"version": "v1"
}
] | 2021-01-18 | [
[
"Brandao",
"Patrick",
""
],
[
"Zisimopoulos",
"Odysseas",
""
],
[
"Mazomenos",
"Evangelos",
""
],
[
"Ciuti",
"Gastone",
""
],
[
"Bernal",
"Jorge",
""
],
[
"Visentini-Scarzanella",
"Marco",
""
],
[
"Menciassi",
... |
2101.06159 | David Fernandez Llorca | David Fern\'andez Llorca, Antonio Hern\'andez Mart\'inez, Iv\'an
Garc\'ia Daza | Vision-based Vehicle Speed Estimation: A Survey | Manuscript published in the IET Intelligent Transport Systems journal | IET Intelligent Transport Systems 2021 | 10.1049/itr2.12079 | null | cs.CV cs.AI cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The need to accurately estimate the speed of road vehicles is becoming
increasingly important for at least two main reasons. First, the number of
speed cameras installed worldwide has been growing in recent years, as the
introduction and enforcement of appropriate speed limits is considered one of
the most effective ... | [
{
"created": "Fri, 15 Jan 2021 15:07:54 GMT",
"version": "v1"
},
{
"created": "Wed, 26 May 2021 08:45:27 GMT",
"version": "v2"
}
] | 2021-05-27 | [
[
"Llorca",
"David Fernández",
""
],
[
"Martínez",
"Antonio Hernández",
""
],
[
"Daza",
"Iván García",
""
]
] |
2101.06177 | Miquel Junyent | Miquel Junyent, Vicen\c{c} G\'omez, Anders Jonsson | Hierarchical Width-Based Planning and Learning | null | Proceedings of the Thirty-First International Conference on
Automated Planning and Scheduling (ICAPS 2021) | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Width-based search methods have demonstrated state-of-the-art performance in
a wide range of testbeds, from classical planning problems to image-based
simulators such as Atari games. These methods scale independently of the size
of the state-space, but exponentially in the problem width. In practice,
running the algo... | [
{
"created": "Fri, 15 Jan 2021 15:37:46 GMT",
"version": "v1"
},
{
"created": "Tue, 23 Mar 2021 15:42:37 GMT",
"version": "v2"
},
{
"created": "Wed, 1 Sep 2021 09:21:22 GMT",
"version": "v3"
}
] | 2022-04-29 | [
[
"Junyent",
"Miquel",
""
],
[
"Gómez",
"Vicenç",
""
],
[
"Jonsson",
"Anders",
""
]
] |
2101.06310 | Daniel Osaku | D. Osaku, C. F. Cuba, Celso T.N. Suzuki, J.F. Gomes, A.X. Falc\~ao | Automated Diagnosis of Intestinal Parasites: A new hybrid approach and
its benefits | 18 pages, 11 figures | Computers in Biology and Medicine, Volume 123, August 2020, 103917 | 10.1016/j.compbiomed.2020.103917 | null | cs.CV cs.LG eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Intestinal parasites are responsible for several diseases in human beings. In
order to eliminate the error-prone visual analysis of optical microscopy
slides, we have investigated automated, fast, and low-cost systems for the
diagnosis of human intestinal parasites. In this work, we present a hybrid
approach that com... | [
{
"created": "Thu, 7 Jan 2021 05:11:01 GMT",
"version": "v1"
}
] | 2021-01-19 | [
[
"Osaku",
"D.",
""
],
[
"Cuba",
"C. F.",
""
],
[
"Suzuki",
"Celso T. N.",
""
],
[
"Gomes",
"J. F.",
""
],
[
"Falcão",
"A. X.",
""
]
] |
2101.06353 | Shoffan Saifullah | Shoffan Saifullah, Yuli Fauziah, Agus Sasmito Aribowo | Comparison of Machine Learning for Sentiment Analysis in Detecting
Anxiety Based on Social Media Data | null | Jurnal Informatika,15(1), 2021, 45-55 | 10.26555/jifo.v15i1.a20111 | null | cs.CL cs.LG | http://creativecommons.org/licenses/by/4.0/ | All groups of people felt the impact of the COVID-19 pandemic. This situation
triggers anxiety, which is bad for everyone. The government's role is very
influential in solving these problems with its work program. It also has many
pros and cons that cause public anxiety. For that, it is necessary to detect
anxiety to... | [
{
"created": "Sat, 16 Jan 2021 02:47:14 GMT",
"version": "v1"
}
] | 2021-03-02 | [
[
"Saifullah",
"Shoffan",
""
],
[
"Fauziah",
"Yuli",
""
],
[
"Aribowo",
"Agus Sasmito",
""
]
] |
2101.06368 | Ian Stewart | Ian Stewart, Diyi Yang, Jacob Eisenstein | Tuiteamos o pongamos un tuit? Investigating the Social Constraints of
Loanword Integration in Spanish Social Media | null | Society for Computation in Linguistics, 2021 | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Speakers of non-English languages often adopt loanwords from English to
express new or unusual concepts. While these loanwords may be borrowed
unchanged, speakers may also integrate the words to fit the constraints of
their native language, e.g. creating Spanish "tuitear" from English "tweet."
Linguists have often co... | [
{
"created": "Sat, 16 Jan 2021 04:42:44 GMT",
"version": "v1"
}
] | 2021-01-19 | [
[
"Stewart",
"Ian",
""
],
[
"Yang",
"Diyi",
""
],
[
"Eisenstein",
"Jacob",
""
]
] |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.