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2105.14769
Petar Maksimovi\'c
Petar Maksimovi\'c, Jos\'e Fragoso Santos, Sacha-\'Elie Ayoun, Philippa Gardner
Gillian: A Multi-Language Platform for Unified Symbolic Analysis
null
null
null
null
cs.PL cs.LO
http://creativecommons.org/licenses/by/4.0/
This is an evolving document describing the meta-theory, the implementation, and the instantiations of Gillian, a multi-language symbolic analysis platform.
[ { "created": "Mon, 31 May 2021 08:01:45 GMT", "version": "v1" }, { "created": "Mon, 12 Jul 2021 15:09:11 GMT", "version": "v2" } ]
2021-07-13
[ [ "Maksimović", "Petar", "" ], [ "Santos", "José Fragoso", "" ], [ "Ayoun", "Sacha-Élie", "" ], [ "Gardner", "Philippa", "" ] ]
This is an evolving document describing the meta-theory, the implementation, and the instantiations of Gillian, a multi-language symbolic analysis platform.
2007.16102
Amelia Jim\'enez-S\'anchez
Amelia Jim\'enez-S\'anchez, Diana Mateus, Sonja Kirchhoff, Chlodwig Kirchhoff, Peter Biberthaler, Nassir Navab, Miguel A. Gonz\'alez Ballester, Gemma Piella
Curriculum learning for improved femur fracture classification: scheduling data with prior knowledge and uncertainty
Medical Image Analysis
null
10.1016/j.media.2021.102273
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
An adequate classification of proximal femur fractures from X-ray images is crucial for the treatment choice and the patients' clinical outcome. We rely on the commonly used AO system, which describes a hierarchical knowledge tree classifying the images into types and subtypes according to the fracture's location and...
[ { "created": "Fri, 31 Jul 2020 14:28:33 GMT", "version": "v1" }, { "created": "Tue, 9 Nov 2021 16:03:58 GMT", "version": "v2" } ]
2021-11-10
[ [ "Jiménez-Sánchez", "Amelia", "" ], [ "Mateus", "Diana", "" ], [ "Kirchhoff", "Sonja", "" ], [ "Kirchhoff", "Chlodwig", "" ], [ "Biberthaler", "Peter", "" ], [ "Navab", "Nassir", "" ], [ "Ballester", "Miguel A. ...
An adequate classification of proximal femur fractures from X-ray images is crucial for the treatment choice and the patients' clinical outcome. We rely on the commonly used AO system, which describes a hierarchical knowledge tree classifying the images into types and subtypes according to the fracture's location and c...
2311.17116
Takeshi Oishi
Wooseok Kim, Taiki Fukiage, Takeshi Oishi
REF$^2$-NeRF: Reflection and Refraction aware Neural Radiance Field
10 pages, 8 figures, 2 tables
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently, significant progress has been made in the study of methods for 3D reconstruction from multiple images using implicit neural representations, exemplified by the neural radiance field (NeRF) method. Such methods, which are based on volume rendering, can model various light phenomena, and various extended meth...
[ { "created": "Tue, 28 Nov 2023 12:14:22 GMT", "version": "v1" }, { "created": "Thu, 30 Nov 2023 02:30:28 GMT", "version": "v2" }, { "created": "Mon, 11 Dec 2023 06:57:04 GMT", "version": "v3" }, { "created": "Thu, 18 Apr 2024 13:03:44 GMT", "version": "v4" } ]
2024-04-19
[ [ "Kim", "Wooseok", "" ], [ "Fukiage", "Taiki", "" ], [ "Oishi", "Takeshi", "" ] ]
Recently, significant progress has been made in the study of methods for 3D reconstruction from multiple images using implicit neural representations, exemplified by the neural radiance field (NeRF) method. Such methods, which are based on volume rendering, can model various light phenomena, and various extended method...
1908.02558
Meysam Ghaffari
Meysam Ghaffari, Ashok Srinivasan, Anuj Mubayi, Xiuwen Liu, Krishnan Viswanathan
Next-Generation High-Resolution Vector-Borne Disease Risk Assessment
null
null
null
null
cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Vector-borne diseases cause more than 1 million deaths annually. Estimates of epidemic risk at high spatial resolutions can enable effective public health interventions. Our goal is to identify the risk of importation of such diseases into vulnerable cities at the granularity of neighborhoods. Conventional models can...
[ { "created": "Tue, 16 Jul 2019 22:04:11 GMT", "version": "v1" } ]
2019-08-08
[ [ "Ghaffari", "Meysam", "" ], [ "Srinivasan", "Ashok", "" ], [ "Mubayi", "Anuj", "" ], [ "Liu", "Xiuwen", "" ], [ "Viswanathan", "Krishnan", "" ] ]
Vector-borne diseases cause more than 1 million deaths annually. Estimates of epidemic risk at high spatial resolutions can enable effective public health interventions. Our goal is to identify the risk of importation of such diseases into vulnerable cities at the granularity of neighborhoods. Conventional models canno...
2406.19966
Yuntao Wen
Shen Gao, Yuntao Wen, Minghang Zhu, Jianing Wei, Yuhan Cheng, Qunzi Zhang, Shuo Shang
Simulating Financial Market via Large Language Model based Agents
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Most economic theories typically assume that financial market participants are fully rational individuals and use mathematical models to simulate human behavior in financial markets. However, human behavior is often not entirely rational and is challenging to predict accurately with mathematical models. In this paper...
[ { "created": "Fri, 28 Jun 2024 14:54:12 GMT", "version": "v1" } ]
2024-07-01
[ [ "Gao", "Shen", "" ], [ "Wen", "Yuntao", "" ], [ "Zhu", "Minghang", "" ], [ "Wei", "Jianing", "" ], [ "Cheng", "Yuhan", "" ], [ "Zhang", "Qunzi", "" ], [ "Shang", "Shuo", "" ] ]
Most economic theories typically assume that financial market participants are fully rational individuals and use mathematical models to simulate human behavior in financial markets. However, human behavior is often not entirely rational and is challenging to predict accurately with mathematical models. In this paper, ...
2404.19317
Sol\`ene Tarride
Sol\`ene Tarride and Christopher Kermorvant
Revisiting N-Gram Models: Their Impact in Modern Neural Networks for Handwritten Text Recognition
null
null
null
null
cs.CV cs.CL
http://creativecommons.org/licenses/by/4.0/
In recent advances in automatic text recognition (ATR), deep neural networks have demonstrated the ability to implicitly capture language statistics, potentially reducing the need for traditional language models. This study directly addresses whether explicit language models, specifically n-gram models, still contrib...
[ { "created": "Tue, 30 Apr 2024 07:37:48 GMT", "version": "v1" } ]
2024-05-01
[ [ "Tarride", "Solène", "" ], [ "Kermorvant", "Christopher", "" ] ]
In recent advances in automatic text recognition (ATR), deep neural networks have demonstrated the ability to implicitly capture language statistics, potentially reducing the need for traditional language models. This study directly addresses whether explicit language models, specifically n-gram models, still contribut...
2206.02928
Yujie Lu
Yujie Lu, Weixi Feng, Wanrong Zhu, Wenda Xu, Xin Eric Wang, Miguel Eckstein, William Yang Wang
Neuro-Symbolic Procedural Planning with Commonsense Prompting
ICLR 2023 Spotlight
null
null
null
cs.CL cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
Procedural planning aims to implement complex high-level goals by decomposition into sequential simpler low-level steps. Although procedural planning is a basic skill set for humans in daily life, it remains a challenge for large language models (LLMs) that lack a deep understanding of the cause-effect relations in p...
[ { "created": "Mon, 6 Jun 2022 22:09:52 GMT", "version": "v1" }, { "created": "Sun, 4 Sep 2022 06:31:07 GMT", "version": "v2" }, { "created": "Thu, 29 Sep 2022 22:32:30 GMT", "version": "v3" }, { "created": "Mon, 3 Oct 2022 03:44:18 GMT", "version": "v4" }, { "crea...
2023-02-17
[ [ "Lu", "Yujie", "" ], [ "Feng", "Weixi", "" ], [ "Zhu", "Wanrong", "" ], [ "Xu", "Wenda", "" ], [ "Wang", "Xin Eric", "" ], [ "Eckstein", "Miguel", "" ], [ "Wang", "William Yang", "" ] ]
Procedural planning aims to implement complex high-level goals by decomposition into sequential simpler low-level steps. Although procedural planning is a basic skill set for humans in daily life, it remains a challenge for large language models (LLMs) that lack a deep understanding of the cause-effect relations in pro...
2202.08246
Dylan McDermott
Dylan McDermott, Alan Mycroft
Galois connecting call-by-value and call-by-name
null
Logical Methods in Computer Science, Volume 20, Issue 1 (February 12, 2024) lmcs:11022
10.46298/lmcs-20(1:13)2024
null
cs.PL
http://creativecommons.org/licenses/by/4.0/
We establish a general framework for reasoning about the relationship between call-by-value and call-by-name. In languages with computational effects, call-by-value and call-by-name executions of programs often have different, but related, observable behaviours. For example, if a program might diverge but otherwise...
[ { "created": "Wed, 16 Feb 2022 18:44:58 GMT", "version": "v1" }, { "created": "Mon, 27 Feb 2023 17:55:19 GMT", "version": "v2" }, { "created": "Fri, 13 Oct 2023 14:01:27 GMT", "version": "v3" }, { "created": "Sun, 14 Jan 2024 15:27:50 GMT", "version": "v4" }, { "c...
2024-08-07
[ [ "McDermott", "Dylan", "" ], [ "Mycroft", "Alan", "" ] ]
We establish a general framework for reasoning about the relationship between call-by-value and call-by-name. In languages with computational effects, call-by-value and call-by-name executions of programs often have different, but related, observable behaviours. For example, if a program might diverge but otherwise has...
1702.05314
Karl von Ellenrieder
Wilhelm B. Klinger, Ivan R. Bertaska, Karl D. von Ellenrieder and Manhar R. Dhanak
Control of an Unmanned Surface Vehicle with Uncertain Displacement and Drag
null
null
10.1109/JOE.2016.2571158
null
cs.SY cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Experimental testing of an unmanned surface vehicle (USV) has been performed to evaluate the performance of two low-level controllers when displacement and drag properties are time-varying and uncertain. The USV is a 4.3 meter long, 150 kilogram wave adaptive modular vessel (WAM-V) with an inflatable twin hull config...
[ { "created": "Fri, 17 Feb 2017 12:01:03 GMT", "version": "v1" } ]
2017-02-20
[ [ "Klinger", "Wilhelm B.", "" ], [ "Bertaska", "Ivan R.", "" ], [ "von Ellenrieder", "Karl D.", "" ], [ "Dhanak", "Manhar R.", "" ] ]
Experimental testing of an unmanned surface vehicle (USV) has been performed to evaluate the performance of two low-level controllers when displacement and drag properties are time-varying and uncertain. The USV is a 4.3 meter long, 150 kilogram wave adaptive modular vessel (WAM-V) with an inflatable twin hull configur...
1812.09985
Rodrigo de Lamare
Y. Yu, R. C. de Lamare and Y. Zakharov
Study of Robust Diffusion Recursive Least Squares Algorithms with Side Information for Networked Agents
6 pages, 4 figures
null
10.1109/TSP.2019.2893846
null
cs.IT cs.LG eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This work develops a robust diffusion recursive least squares algorithm to mitigate the performance degradation often experienced in networks of agents in the presence of impulsive noise. This algorithm minimizes an exponentially weighted least-squares cost function subject to a time-dependent constraint on the squar...
[ { "created": "Mon, 24 Dec 2018 21:40:54 GMT", "version": "v1" } ]
2019-02-20
[ [ "Yu", "Y.", "" ], [ "de Lamare", "R. C.", "" ], [ "Zakharov", "Y.", "" ] ]
This work develops a robust diffusion recursive least squares algorithm to mitigate the performance degradation often experienced in networks of agents in the presence of impulsive noise. This algorithm minimizes an exponentially weighted least-squares cost function subject to a time-dependent constraint on the squared...
1809.02731
Shuai Tang
Shuai Tang, Virginia R. de Sa
Exploiting Invertible Decoders for Unsupervised Sentence Representation Learning
null
null
null
null
cs.NE cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The encoder-decoder models for unsupervised sentence representation learning tend to discard the decoder after being trained on a large unlabelled corpus, since only the encoder is needed to map the input sentence into a vector representation. However, parameters learnt in the decoder also contain useful information ...
[ { "created": "Sat, 8 Sep 2018 01:20:45 GMT", "version": "v1" }, { "created": "Mon, 27 May 2019 00:35:49 GMT", "version": "v2" }, { "created": "Fri, 31 May 2019 04:53:58 GMT", "version": "v3" } ]
2019-06-03
[ [ "Tang", "Shuai", "" ], [ "de Sa", "Virginia R.", "" ] ]
The encoder-decoder models for unsupervised sentence representation learning tend to discard the decoder after being trained on a large unlabelled corpus, since only the encoder is needed to map the input sentence into a vector representation. However, parameters learnt in the decoder also contain useful information ab...
1106.3767
Georg Gottlob
Georg Gottlob and Thomas Schwentick
Rewriting Ontological Queries into Small Nonrecursive Datalog Programs
A shorter version is presented at the 24th International Workshop on Description Logics, DL 2011, Barcelona, Spain, July 13-16, 2011. The present version mainly extends the proof of Theorem 1 in Section 3. We plan to post further extended versions of this paper in the near future
null
null
null
cs.AI cs.DB cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the setting of ontological database access, where an Abox is given in form of a relational database D and where a Boolean conjunctive query q has to be evaluated against D modulo a Tbox T formulated in DL-Lite or Linear Datalog+/-. It is well-known that (T,q) can be rewritten into an equivalent nonrecursi...
[ { "created": "Sun, 19 Jun 2011 18:20:07 GMT", "version": "v1" }, { "created": "Sun, 10 Jul 2011 18:26:56 GMT", "version": "v2" }, { "created": "Sat, 23 Jul 2011 10:19:21 GMT", "version": "v3" } ]
2011-07-26
[ [ "Gottlob", "Georg", "" ], [ "Schwentick", "Thomas", "" ] ]
We consider the setting of ontological database access, where an Abox is given in form of a relational database D and where a Boolean conjunctive query q has to be evaluated against D modulo a Tbox T formulated in DL-Lite or Linear Datalog+/-. It is well-known that (T,q) can be rewritten into an equivalent nonrecursive...
1806.08246
Eric M\"uller-Budack
Eric M\"uller-Budack, Kader Pustu-Iren, Sebastian Diering, Ralph Ewerth
Finding Person Relations in Image Data of the Internet Archive
null
In: M\'endez E., Crestani F., Ribeiro C., David G., Lopes J. (eds) Digital Libraries for Open Knowledge. TPDL 2018. Lecture Notes in Computer Science, vol 11057. Springer, Cham
10.1007/978-3-030-00066-0_20
null
cs.DL cs.CV cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The multimedia content in the World Wide Web is rapidly growing and contains valuable information for many applications in different domains. For this reason, the Internet Archive initiative has been gathering billions of time-versioned web pages since the mid-nineties. However, the huge amount of data is rarely labe...
[ { "created": "Thu, 21 Jun 2018 13:48:21 GMT", "version": "v1" }, { "created": "Tue, 28 May 2019 13:04:14 GMT", "version": "v2" } ]
2019-09-04
[ [ "Müller-Budack", "Eric", "" ], [ "Pustu-Iren", "Kader", "" ], [ "Diering", "Sebastian", "" ], [ "Ewerth", "Ralph", "" ] ]
The multimedia content in the World Wide Web is rapidly growing and contains valuable information for many applications in different domains. For this reason, the Internet Archive initiative has been gathering billions of time-versioned web pages since the mid-nineties. However, the huge amount of data is rarely labele...
2402.10857
Artem Trofimov
Artem Trofimov, Mikhail Kostyukov, Sergei Ugdyzhekov, Natalia Ponomareva, Igor Naumov, Maksim Melekhovets
JetTrain: IDE-Native Machine Learning Experiments
IDE workshop @ ICSE 2024
null
10.1145/3643796.3648455
null
cs.SE cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Integrated development environments (IDEs) are prevalent code-writing and debugging tools. However, they have yet to be widely adopted for launching machine learning (ML) experiments. This work aims to fill this gap by introducing JetTrain, an IDE-integrated tool that delegates specific tasks from an IDE to remote co...
[ { "created": "Fri, 16 Feb 2024 17:53:08 GMT", "version": "v1" } ]
2024-02-19
[ [ "Trofimov", "Artem", "" ], [ "Kostyukov", "Mikhail", "" ], [ "Ugdyzhekov", "Sergei", "" ], [ "Ponomareva", "Natalia", "" ], [ "Naumov", "Igor", "" ], [ "Melekhovets", "Maksim", "" ] ]
Integrated development environments (IDEs) are prevalent code-writing and debugging tools. However, they have yet to be widely adopted for launching machine learning (ML) experiments. This work aims to fill this gap by introducing JetTrain, an IDE-integrated tool that delegates specific tasks from an IDE to remote comp...
2401.17633
Xiao Wang
Chenyu Shi, Xiao Wang, Qiming Ge, Songyang Gao, Xianjun Yang, Tao Gui, Qi Zhang, Xuanjing Huang, Xun Zhao, Dahua Lin
Navigating the OverKill in Large Language Models
null
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large language models are meticulously aligned to be both helpful and harmless. However, recent research points to a potential overkill which means models may refuse to answer benign queries. In this paper, we investigate the factors for overkill by exploring how models handle and determine the safety of queries. Our...
[ { "created": "Wed, 31 Jan 2024 07:26:47 GMT", "version": "v1" } ]
2024-02-01
[ [ "Shi", "Chenyu", "" ], [ "Wang", "Xiao", "" ], [ "Ge", "Qiming", "" ], [ "Gao", "Songyang", "" ], [ "Yang", "Xianjun", "" ], [ "Gui", "Tao", "" ], [ "Zhang", "Qi", "" ], [ "Huang", "Xuanjing", ...
Large language models are meticulously aligned to be both helpful and harmless. However, recent research points to a potential overkill which means models may refuse to answer benign queries. In this paper, we investigate the factors for overkill by exploring how models handle and determine the safety of queries. Our f...
0805.1288
\^Hamed \"Owladeghaffari
H. Owladeghaffari, K. Shahriar, G. H. R. Saeedi
Assessment of effective parameters on dilution using approximate reasoning methods in longwall mining method, Iran coal mines
9 Pages,9 Figures,submitted to :The 21st World Mining Congress &EXPO 2008; 7-11 ;September 2008,;Krakow, Poland
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Approximately more than 90% of all coal production in Iranian underground mines is derived directly longwall mining method. Out of seam dilution is one of the essential problems in these mines. Therefore the dilution can impose the additional cost of mining and milling. As a result, recognition of the effective param...
[ { "created": "Fri, 9 May 2008 07:08:57 GMT", "version": "v1" } ]
2008-05-12
[ [ "Owladeghaffari", "H.", "" ], [ "Shahriar", "K.", "" ], [ "Saeedi", "G. H. R.", "" ] ]
Approximately more than 90% of all coal production in Iranian underground mines is derived directly longwall mining method. Out of seam dilution is one of the essential problems in these mines. Therefore the dilution can impose the additional cost of mining and milling. As a result, recognition of the effective paramet...
2011.04698
Max Tegmark
Ziming Liu (MIT), Max Tegmark (MIT)
AI Poincar\'e: Machine Learning Conservation Laws from Trajectories
Replaced by accepted PRL version; expanded validation, improved presentation, more legible figs
Phys. Rev. Lett. 126, 180604 (2021)
10.1103/PhysRevLett.126.180604
null
cs.LG astro-ph.EP nlin.SI physics.class-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present AI Poincar\'e, a machine learning algorithm for auto-discovering conserved quantities using trajectory data from unknown dynamical systems. We test it on five Hamiltonian systems, including the gravitational 3-body problem, and find that it discovers not only all exactly conserved quantities, but also peri...
[ { "created": "Mon, 9 Nov 2020 19:23:28 GMT", "version": "v1" }, { "created": "Mon, 26 Apr 2021 13:20:29 GMT", "version": "v2" } ]
2021-05-10
[ [ "Liu", "Ziming", "", "MIT" ], [ "Tegmark", "Max", "", "MIT" ] ]
We present AI Poincar\'e, a machine learning algorithm for auto-discovering conserved quantities using trajectory data from unknown dynamical systems. We test it on five Hamiltonian systems, including the gravitational 3-body problem, and find that it discovers not only all exactly conserved quantities, but also period...
2401.10214
Abdullatif Albaseer Mr
Abdullatif Albaseer and Mohamed Abdallah
Tailoring Semantic Communication at Network Edge: A Novel Approach Using Dynamic Knowledge Distillation
Accepted for the International Conference on Communications (ICC) 2024
null
null
null
cs.NI
http://creativecommons.org/licenses/by/4.0/
Semantic Communication (SemCom) systems, empowered by deep learning (DL), represent a paradigm shift in data transmission. These systems prioritize the significance of content over sheer data volume. However, existing SemCom designs face challenges when applied to diverse computational capabilities and network condit...
[ { "created": "Thu, 18 Jan 2024 18:55:27 GMT", "version": "v1" } ]
2024-01-19
[ [ "Albaseer", "Abdullatif", "" ], [ "Abdallah", "Mohamed", "" ] ]
Semantic Communication (SemCom) systems, empowered by deep learning (DL), represent a paradigm shift in data transmission. These systems prioritize the significance of content over sheer data volume. However, existing SemCom designs face challenges when applied to diverse computational capabilities and network conditio...
2108.06988
Alvaro Almeida Gomez
Alvaro Almeida Gomez, Ant\^onio J. Silva Neto, Jorge P. Zubelli
A diffusion-map-based algorithm for gradient computation on manifolds and applications
New version with applications in inverse problems
null
null
null
cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
We recover the Riemannian gradient of a given function defined on interior points of a Riemannian submanifold in the Euclidean space based on a sample of function evaluations at points in the submanifold. This approach is based on the estimates of the Laplace-Beltrami operator proposed in the diffusion-maps theory. T...
[ { "created": "Mon, 16 Aug 2021 09:35:22 GMT", "version": "v1" }, { "created": "Sat, 16 Apr 2022 19:13:48 GMT", "version": "v2" }, { "created": "Tue, 3 May 2022 16:26:55 GMT", "version": "v3" }, { "created": "Sat, 14 May 2022 15:48:42 GMT", "version": "v4" }, { "cr...
2023-06-06
[ [ "Gomez", "Alvaro Almeida", "" ], [ "Neto", "Antônio J. Silva", "" ], [ "Zubelli", "Jorge P.", "" ] ]
We recover the Riemannian gradient of a given function defined on interior points of a Riemannian submanifold in the Euclidean space based on a sample of function evaluations at points in the submanifold. This approach is based on the estimates of the Laplace-Beltrami operator proposed in the diffusion-maps theory. The...
2406.04584
Junting Zhou
Haotian Zhang and Junting Zhou and Haowei Lin and Hang Ye and Jianhua Zhu and Zihao Wang and Liangcai Gao and Yizhou Wang and Yitao Liang
CLoG: Benchmarking Continual Learning of Image Generation Models
null
null
null
null
cs.LG cs.AI cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Continual Learning (CL) poses a significant challenge in Artificial Intelligence, aiming to mirror the human ability to incrementally acquire knowledge and skills. While extensive research has focused on CL within the context of classification tasks, the advent of increasingly powerful generative models necessitates ...
[ { "created": "Fri, 7 Jun 2024 02:12:29 GMT", "version": "v1" } ]
2024-06-10
[ [ "Zhang", "Haotian", "" ], [ "Zhou", "Junting", "" ], [ "Lin", "Haowei", "" ], [ "Ye", "Hang", "" ], [ "Zhu", "Jianhua", "" ], [ "Wang", "Zihao", "" ], [ "Gao", "Liangcai", "" ], [ "Wang", "Yizho...
Continual Learning (CL) poses a significant challenge in Artificial Intelligence, aiming to mirror the human ability to incrementally acquire knowledge and skills. While extensive research has focused on CL within the context of classification tasks, the advent of increasingly powerful generative models necessitates th...
2008.00842
Marios Fragkoulis
Marios Fragkoulis, Paris Carbone, Vasiliki Kalavri, Asterios Katsifodimos
A Survey on the Evolution of Stream Processing Systems
30 pages, 10 figures, 6 tables
null
null
null
cs.DC cs.CL cs.DB cs.PF
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Stream processing has been an active research field for more than 20 years, but it is now witnessing its prime time due to recent successful efforts by the research community and numerous worldwide open-source communities. This survey provides a comprehensive overview of fundamental aspects of stream processing syste...
[ { "created": "Mon, 3 Aug 2020 12:43:46 GMT", "version": "v1" }, { "created": "Sat, 14 Jan 2023 16:50:42 GMT", "version": "v2" } ]
2023-01-18
[ [ "Fragkoulis", "Marios", "" ], [ "Carbone", "Paris", "" ], [ "Kalavri", "Vasiliki", "" ], [ "Katsifodimos", "Asterios", "" ] ]
Stream processing has been an active research field for more than 20 years, but it is now witnessing its prime time due to recent successful efforts by the research community and numerous worldwide open-source communities. This survey provides a comprehensive overview of fundamental aspects of stream processing systems...
2406.13570
Nikol Figalov\'a
Nikol Figalov\'a, J\"urgen Pichen, Lewis L. Chuang, Martin Baumann, Olga Pollatos
System Immersion of a Driving Simulator Affects the Oscillatory Brain Activity
null
null
10.54941/ahfe1001825
null
cs.HC
http://creativecommons.org/licenses/by/4.0/
The technological properties of a system delivering simulation experience are a crucial dimension of immersion. To create a sense of presence and reproduce drivers behaviour as realistically as possible, we need reliable driving simulators that allow drivers to become highly immersed. This study investigates the impa...
[ { "created": "Wed, 19 Jun 2024 14:01:14 GMT", "version": "v1" } ]
2024-06-21
[ [ "Figalová", "Nikol", "" ], [ "Pichen", "Jürgen", "" ], [ "Chuang", "Lewis L.", "" ], [ "Baumann", "Martin", "" ], [ "Pollatos", "Olga", "" ] ]
The technological properties of a system delivering simulation experience are a crucial dimension of immersion. To create a sense of presence and reproduce drivers behaviour as realistically as possible, we need reliable driving simulators that allow drivers to become highly immersed. This study investigates the impact...
2205.15990
Nathaniel Haut
Nathan Haut, Wolfgang Banzhaf, Bill Punch
Correlation versus RMSE Loss Functions in Symbolic Regression Tasks
Submitted to the GPTP conference
null
null
null
cs.NE
http://creativecommons.org/licenses/by-nc-sa/4.0/
The use of correlation as a fitness function is explored in symbolic regression tasks and the performance is compared against the typical RMSE fitness function. Using correlation with an alignment step to conclude the evolution led to significant performance gains over RMSE as a fitness function. Using correlation as...
[ { "created": "Tue, 31 May 2022 17:47:50 GMT", "version": "v1" }, { "created": "Fri, 29 Jul 2022 18:13:05 GMT", "version": "v2" } ]
2022-08-02
[ [ "Haut", "Nathan", "" ], [ "Banzhaf", "Wolfgang", "" ], [ "Punch", "Bill", "" ] ]
The use of correlation as a fitness function is explored in symbolic regression tasks and the performance is compared against the typical RMSE fitness function. Using correlation with an alignment step to conclude the evolution led to significant performance gains over RMSE as a fitness function. Using correlation as a...
1506.05905
Anmer Daskin
Anmer Daskin
Quantum IsoRank: Efficient Alignment of Multiple PPI Networks
null
null
null
null
cs.CE q-bio.MN quant-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Comparative analyses of protein-protein interaction networks play important roles in the understanding of biological processes. However, the growing enormity of available data on the networks becomes a computational challenge for the conventional alignment algorithms. Quantum algorithms generally provide greater effi...
[ { "created": "Fri, 19 Jun 2015 08:25:29 GMT", "version": "v1" }, { "created": "Thu, 14 Apr 2016 12:07:18 GMT", "version": "v2" } ]
2016-04-15
[ [ "Daskin", "Anmer", "" ] ]
Comparative analyses of protein-protein interaction networks play important roles in the understanding of biological processes. However, the growing enormity of available data on the networks becomes a computational challenge for the conventional alignment algorithms. Quantum algorithms generally provide greater effici...
2201.05852
Rog\'erio Rossi
Rogerio Rossi
Data Science in Perspective
Information Society Conference - i-Society 2021
null
null
null
cs.GL
http://creativecommons.org/licenses/by/4.0/
Data and Science has stood out in the generation of results, whether in the projects of the scientific domain or business domain. CERN Project, Scientific Institutes, companies like Walmart, Google, Apple, among others, need data to present their results and make predictions in the competitive data world. Data and Sc...
[ { "created": "Sat, 15 Jan 2022 13:51:12 GMT", "version": "v1" } ]
2022-01-19
[ [ "Rossi", "Rogerio", "" ] ]
Data and Science has stood out in the generation of results, whether in the projects of the scientific domain or business domain. CERN Project, Scientific Institutes, companies like Walmart, Google, Apple, among others, need data to present their results and make predictions in the competitive data world. Data and Scie...
2305.05285
Gabriele Oligeri
Saeif Alhazbi, Savio Sciancalepore, Gabriele Oligeri
The Day-After-Tomorrow: On the Performance of Radio Fingerprinting over Time
null
null
null
null
cs.CR cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The performance of Radio Frequency (RF) Fingerprinting (RFF) techniques is negatively impacted when the training data is not temporally close to the testing data. This can limit the practical implementation of physical-layer authentication solutions. To circumvent this problem, current solutions involve collecting tr...
[ { "created": "Tue, 9 May 2023 09:19:07 GMT", "version": "v1" }, { "created": "Tue, 17 Oct 2023 09:41:58 GMT", "version": "v2" } ]
2023-10-18
[ [ "Alhazbi", "Saeif", "" ], [ "Sciancalepore", "Savio", "" ], [ "Oligeri", "Gabriele", "" ] ]
The performance of Radio Frequency (RF) Fingerprinting (RFF) techniques is negatively impacted when the training data is not temporally close to the testing data. This can limit the practical implementation of physical-layer authentication solutions. To circumvent this problem, current solutions involve collecting trai...
1307.0261
Bhavana Dalvi
Bhavana Dalvi, William W. Cohen, and Jamie Callan
WebSets: Extracting Sets of Entities from the Web Using Unsupervised Information Extraction
10 pages; International Conference on Web Search and Data Mining 2012
null
null
null
cs.LG cs.CL cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We describe a open-domain information extraction method for extracting concept-instance pairs from an HTML corpus. Most earlier approaches to this problem rely on combining clusters of distributionally similar terms and concept-instance pairs obtained with Hearst patterns. In contrast, our method relies on a novel ap...
[ { "created": "Mon, 1 Jul 2013 02:49:08 GMT", "version": "v1" } ]
2013-07-02
[ [ "Dalvi", "Bhavana", "" ], [ "Cohen", "William W.", "" ], [ "Callan", "Jamie", "" ] ]
We describe a open-domain information extraction method for extracting concept-instance pairs from an HTML corpus. Most earlier approaches to this problem rely on combining clusters of distributionally similar terms and concept-instance pairs obtained with Hearst patterns. In contrast, our method relies on a novel appr...
2310.18159
Leandro Almeida
Leandro C. de Almeida, Washington Rodrigo Dias da Silva, Thiago C. Tavares, Rafael Pasquini, Chrysa Papagianni and F\'abio L. Verdi
DESiRED -- Dynamic, Enhanced, and Smart iRED: A P4-AQM with Deep Reinforcement Learning and In-band Network Telemetry
Preprint (Computer Networks under review)
null
null
null
cs.NI
http://creativecommons.org/licenses/by/4.0/
Active Queue Management (AQM) is a mechanism employed to alleviate transient congestion in network device buffers, such as routers and switches. Traditional AQM algorithms use fixed thresholds, like target delay or queue occupancy, to compute random packet drop probabilities. A very small target delay can increase pa...
[ { "created": "Fri, 27 Oct 2023 14:06:57 GMT", "version": "v1" } ]
2023-10-30
[ [ "de Almeida", "Leandro C.", "" ], [ "da Silva", "Washington Rodrigo Dias", "" ], [ "Tavares", "Thiago C.", "" ], [ "Pasquini", "Rafael", "" ], [ "Papagianni", "Chrysa", "" ], [ "Verdi", "Fábio L.", "" ] ]
Active Queue Management (AQM) is a mechanism employed to alleviate transient congestion in network device buffers, such as routers and switches. Traditional AQM algorithms use fixed thresholds, like target delay or queue occupancy, to compute random packet drop probabilities. A very small target delay can increase pack...
2312.06708
Sunjae Yoon
Sunjae Yoon, Gwanhyeong Koo, Ji Woo Hong, Chang D. Yoo
Neutral Editing Framework for Diffusion-based Video Editing
18 pages, 14 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Text-conditioned image editing has succeeded in various types of editing based on a diffusion framework. Unfortunately, this success did not carry over to a video, which continues to be challenging. Existing video editing systems are still limited to rigid-type editing such as style transfer and object overlay. To th...
[ { "created": "Sun, 10 Dec 2023 16:28:32 GMT", "version": "v1" } ]
2023-12-13
[ [ "Yoon", "Sunjae", "" ], [ "Koo", "Gwanhyeong", "" ], [ "Hong", "Ji Woo", "" ], [ "Yoo", "Chang D.", "" ] ]
Text-conditioned image editing has succeeded in various types of editing based on a diffusion framework. Unfortunately, this success did not carry over to a video, which continues to be challenging. Existing video editing systems are still limited to rigid-type editing such as style transfer and object overlay. To this...
1611.08959
Yonatan Kaspi
Yonatan Kaspi, Ofer Shayevitz and Tara Javidi
Searching with Measurement Dependent Noise
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Consider a target moving at a constant velocity on a unit-circumference circle, starting at an arbitrary location. To acquire the target, any region of the circle can be probed to obtain a noisy measurement of the target's presence, where the noise level increases with the size of the probed region. We are interested...
[ { "created": "Mon, 28 Nov 2016 02:10:36 GMT", "version": "v1" } ]
2016-11-29
[ [ "Kaspi", "Yonatan", "" ], [ "Shayevitz", "Ofer", "" ], [ "Javidi", "Tara", "" ] ]
Consider a target moving at a constant velocity on a unit-circumference circle, starting at an arbitrary location. To acquire the target, any region of the circle can be probed to obtain a noisy measurement of the target's presence, where the noise level increases with the size of the probed region. We are interested i...
2101.08165
Wentao Xie
Wentao Xie, Guanghui Ren, Si Liu
Video Relation Detection with Trajectory-aware Multi-modal Features
null
null
10.1145/3394171.3416284
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Video relation detection problem refers to the detection of the relationship between different objects in videos, such as spatial relationship and action relationship. In this paper, we present video relation detection with trajectory-aware multi-modal features to solve this task. Considering the complexity of doin...
[ { "created": "Wed, 20 Jan 2021 14:49:02 GMT", "version": "v1" } ]
2021-01-21
[ [ "Xie", "Wentao", "" ], [ "Ren", "Guanghui", "" ], [ "Liu", "Si", "" ] ]
Video relation detection problem refers to the detection of the relationship between different objects in videos, such as spatial relationship and action relationship. In this paper, we present video relation detection with trajectory-aware multi-modal features to solve this task. Considering the complexity of doing vi...
1911.07298
Muhammad Samir Khan
Muhammad Samir Khan, Lewis Tseng, Nitin H. Vaidya
Exact Byzantine Consensus on Arbitrary Directed Graphs under Local Broadcast Model
arXiv admin note: text overlap with arXiv:1903.11677
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider Byzantine consensus in a synchronous system where nodes are connected by a network modeled as a directed graph, i.e., communication links between neighboring nodes are not necessarily bi-directional. The directed graph model is motivated by wireless networks wherein asymmetric communication links can occu...
[ { "created": "Wed, 13 Nov 2019 06:59:51 GMT", "version": "v1" } ]
2019-11-19
[ [ "Khan", "Muhammad Samir", "" ], [ "Tseng", "Lewis", "" ], [ "Vaidya", "Nitin H.", "" ] ]
We consider Byzantine consensus in a synchronous system where nodes are connected by a network modeled as a directed graph, i.e., communication links between neighboring nodes are not necessarily bi-directional. The directed graph model is motivated by wireless networks wherein asymmetric communication links can occur....
1709.05295
Shereen Oraby
Shereen Oraby, Lena Reed, Ryan Compton, Ellen Riloff, Marilyn Walker, and Steve Whittaker
And That's A Fact: Distinguishing Factual and Emotional Argumentation in Online Dialogue
11 pages, 6 figures, Proceedings of the 2nd Workshop on Argumentation Mining at NAACL 2015
null
10.3115/v1/W15-0515
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We investigate the characteristics of factual and emotional argumentation styles observed in online debates. Using an annotated set of "factual" and "feeling" debate forum posts, we extract patterns that are highly correlated with factual and emotional arguments, and then apply a bootstrapping methodology to find new...
[ { "created": "Fri, 15 Sep 2017 16:28:46 GMT", "version": "v1" } ]
2017-09-18
[ [ "Oraby", "Shereen", "" ], [ "Reed", "Lena", "" ], [ "Compton", "Ryan", "" ], [ "Riloff", "Ellen", "" ], [ "Walker", "Marilyn", "" ], [ "Whittaker", "Steve", "" ] ]
We investigate the characteristics of factual and emotional argumentation styles observed in online debates. Using an annotated set of "factual" and "feeling" debate forum posts, we extract patterns that are highly correlated with factual and emotional arguments, and then apply a bootstrapping methodology to find new p...
1803.06905
Hongyu Zhu
Hongyu Zhu, Mohamed Akrout, Bojian Zheng, Andrew Pelegris, Amar Phanishayee, Bianca Schroeder, and Gennady Pekhimenko
TBD: Benchmarking and Analyzing Deep Neural Network Training
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The recent popularity of deep neural networks (DNNs) has generated a lot of research interest in performing DNN-related computation efficiently. However, the primary focus is usually very narrow and limited to (i) inference -- i.e. how to efficiently execute already trained models and (ii) image classification networ...
[ { "created": "Fri, 16 Mar 2018 05:16:06 GMT", "version": "v1" }, { "created": "Sat, 14 Apr 2018 01:21:40 GMT", "version": "v2" } ]
2018-04-17
[ [ "Zhu", "Hongyu", "" ], [ "Akrout", "Mohamed", "" ], [ "Zheng", "Bojian", "" ], [ "Pelegris", "Andrew", "" ], [ "Phanishayee", "Amar", "" ], [ "Schroeder", "Bianca", "" ], [ "Pekhimenko", "Gennady", "" ] ]
The recent popularity of deep neural networks (DNNs) has generated a lot of research interest in performing DNN-related computation efficiently. However, the primary focus is usually very narrow and limited to (i) inference -- i.e. how to efficiently execute already trained models and (ii) image classification networks...
1912.09536
Subru Krishnan
Fotis Psallidas, Yiwen Zhu, Bojan Karlas, Matteo Interlandi, Avrilia Floratou, Konstantinos Karanasos, Wentao Wu, Ce Zhang, Subru Krishnan, Carlo Curino, Markus Weimer
Data Science through the looking glass and what we found there
null
null
null
null
cs.LG cs.DC stat.ML
http://creativecommons.org/licenses/by-nc-sa/4.0/
The recent success of machine learning (ML) has led to an explosive growth both in terms of new systems and algorithms built in industry and academia, and new applications built by an ever-growing community of data science (DS) practitioners. This quickly shifting panorama of technologies and applications is challeng...
[ { "created": "Thu, 19 Dec 2019 20:29:44 GMT", "version": "v1" } ]
2019-12-23
[ [ "Psallidas", "Fotis", "" ], [ "Zhu", "Yiwen", "" ], [ "Karlas", "Bojan", "" ], [ "Interlandi", "Matteo", "" ], [ "Floratou", "Avrilia", "" ], [ "Karanasos", "Konstantinos", "" ], [ "Wu", "Wentao", "" ], ...
The recent success of machine learning (ML) has led to an explosive growth both in terms of new systems and algorithms built in industry and academia, and new applications built by an ever-growing community of data science (DS) practitioners. This quickly shifting panorama of technologies and applications is challengin...
2107.11355
Zhipeng Luo
Zhipeng Luo, Zhongang Cai, Changqing Zhou, Gongjie Zhang, Haiyu Zhao, Shuai Yi, Shijian Lu, Hongsheng Li, Shanghang Zhang, Ziwei Liu
Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep learning-based 3D object detection has achieved unprecedented success with the advent of large-scale autonomous driving datasets. However, drastic performance degradation remains a critical challenge for cross-domain deployment. In addition, existing 3D domain adaptive detection methods often assume prior access...
[ { "created": "Fri, 23 Jul 2021 17:19:23 GMT", "version": "v1" }, { "created": "Wed, 18 Aug 2021 03:25:24 GMT", "version": "v2" } ]
2021-08-19
[ [ "Luo", "Zhipeng", "" ], [ "Cai", "Zhongang", "" ], [ "Zhou", "Changqing", "" ], [ "Zhang", "Gongjie", "" ], [ "Zhao", "Haiyu", "" ], [ "Yi", "Shuai", "" ], [ "Lu", "Shijian", "" ], [ "Li", "Hong...
Deep learning-based 3D object detection has achieved unprecedented success with the advent of large-scale autonomous driving datasets. However, drastic performance degradation remains a critical challenge for cross-domain deployment. In addition, existing 3D domain adaptive detection methods often assume prior access t...
1712.09123
Shameem Puthiya Parambath Mr.
Shameem A Puthiya Parambath, Nishant Vijayakumar, Sanjay Chawla
SAGA: A Submodular Greedy Algorithm For Group Recommendation
AAAI 2018
null
null
null
cs.IR cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose a unified framework and an algorithm for the problem of group recommendation where a fixed number of items or alternatives can be recommended to a group of users. The problem of group recommendation arises naturally in many real world contexts, and is closely related to the budgeted social c...
[ { "created": "Mon, 25 Dec 2017 20:03:46 GMT", "version": "v1" } ]
2017-12-27
[ [ "Parambath", "Shameem A Puthiya", "" ], [ "Vijayakumar", "Nishant", "" ], [ "Chawla", "Sanjay", "" ] ]
In this paper, we propose a unified framework and an algorithm for the problem of group recommendation where a fixed number of items or alternatives can be recommended to a group of users. The problem of group recommendation arises naturally in many real world contexts, and is closely related to the budgeted social cho...
2207.01164
Peihao Wang
Tianlong Chen, Peihao Wang, Zhiwen Fan, Zhangyang Wang
Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Neural Radiance Field (NeRF) regresses a neural parameterized scene by differentially rendering multi-view images with ground-truth supervision. However, when interpolating novel views, NeRF often yields inconsistent and visually non-smooth geometric results, which we consider as a generalization gap between seen and...
[ { "created": "Mon, 4 Jul 2022 02:27:07 GMT", "version": "v1" } ]
2022-07-05
[ [ "Chen", "Tianlong", "" ], [ "Wang", "Peihao", "" ], [ "Fan", "Zhiwen", "" ], [ "Wang", "Zhangyang", "" ] ]
Neural Radiance Field (NeRF) regresses a neural parameterized scene by differentially rendering multi-view images with ground-truth supervision. However, when interpolating novel views, NeRF often yields inconsistent and visually non-smooth geometric results, which we consider as a generalization gap between seen and u...
2202.06494
Wangkai Jin
Wangkai Jin, Yicun Duan, Junyu Liu, Shuchang Huang, Zeyu Xiong, Xiangjun Peng
BROOK Dataset: A Playground for Exploiting Data-Driven Techniques in Human-Vehicle Interactive Designs
Technical Report-Feb-01 at User-Centric Computing Group, University of Nottingham Ningbo China
null
null
Technical Report-Feb-01
cs.HC
http://creativecommons.org/licenses/by/4.0/
Emerging Autonomous Vehicles (AV) breed great potentials to exploit data-driven techniques for adaptive and personalized Human-Vehicle Interactions. However, the lack of high-quality and rich data supports limits the opportunities to explore the design space of data-driven techniques, and validate the effectiveness o...
[ { "created": "Mon, 14 Feb 2022 06:07:32 GMT", "version": "v1" } ]
2022-02-15
[ [ "Jin", "Wangkai", "" ], [ "Duan", "Yicun", "" ], [ "Liu", "Junyu", "" ], [ "Huang", "Shuchang", "" ], [ "Xiong", "Zeyu", "" ], [ "Peng", "Xiangjun", "" ] ]
Emerging Autonomous Vehicles (AV) breed great potentials to exploit data-driven techniques for adaptive and personalized Human-Vehicle Interactions. However, the lack of high-quality and rich data supports limits the opportunities to explore the design space of data-driven techniques, and validate the effectiveness of ...
2307.07462
Tao Hou
Tamal K. Dey, Tao Hou
Computing Zigzag Vineyard Efficiently Including Expansions and Contractions
Updated funding information for one co-author
null
null
null
cs.CG math.AT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Vines and vineyard connecting a stack of persistence diagrams have been introduced in the non-zigzag setting by Cohen-Steiner et al. We consider computing these vines over changing filtrations for zigzag persistence while incorporating two more operations: expansions and contractions in addition to the transpositions...
[ { "created": "Fri, 14 Jul 2023 16:43:23 GMT", "version": "v1" }, { "created": "Mon, 24 Jul 2023 22:01:20 GMT", "version": "v2" }, { "created": "Thu, 14 Dec 2023 02:22:19 GMT", "version": "v3" }, { "created": "Wed, 14 Feb 2024 19:03:21 GMT", "version": "v4" }, { "c...
2024-02-20
[ [ "Dey", "Tamal K.", "" ], [ "Hou", "Tao", "" ] ]
Vines and vineyard connecting a stack of persistence diagrams have been introduced in the non-zigzag setting by Cohen-Steiner et al. We consider computing these vines over changing filtrations for zigzag persistence while incorporating two more operations: expansions and contractions in addition to the transpositions c...
2003.00944
Steve Huntsman
Steve Huntsman
Path homology as a stronger analogue of cyclomatic complexity
null
null
null
null
cs.SE math.AT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cyclomatic complexity is an incompletely specified but mathematically principled software metric that can be usefully applied to both source and binary code. We consider the application of path homology as a stronger analogue of cyclomatic complexity. We have implemented an algorithm to compute path homology in arbit...
[ { "created": "Mon, 2 Mar 2020 14:45:10 GMT", "version": "v1" }, { "created": "Wed, 22 Jul 2020 19:50:35 GMT", "version": "v2" }, { "created": "Wed, 29 Jul 2020 16:02:17 GMT", "version": "v3" }, { "created": "Thu, 27 Aug 2020 14:04:28 GMT", "version": "v4" } ]
2020-08-28
[ [ "Huntsman", "Steve", "" ] ]
Cyclomatic complexity is an incompletely specified but mathematically principled software metric that can be usefully applied to both source and binary code. We consider the application of path homology as a stronger analogue of cyclomatic complexity. We have implemented an algorithm to compute path homology in arbitra...
1705.07105
Charalampos Nikolaou
Charalampos Nikolaou and Egor V. Kostylev and George Konstantinidis and Mark Kaminski and Bernardo Cuenca Grau and Ian Horrocks
The Bag Semantics of Ontology-Based Data Access
null
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Ontology-based data access (OBDA) is a popular approach for integrating and querying multiple data sources by means of a shared ontology. The ontology is linked to the sources using mappings, which assign views over the data to ontology predicates. Motivated by the need for OBDA systems supporting database-style aggr...
[ { "created": "Fri, 19 May 2017 17:33:28 GMT", "version": "v1" } ]
2017-05-22
[ [ "Nikolaou", "Charalampos", "" ], [ "Kostylev", "Egor V.", "" ], [ "Konstantinidis", "George", "" ], [ "Kaminski", "Mark", "" ], [ "Grau", "Bernardo Cuenca", "" ], [ "Horrocks", "Ian", "" ] ]
Ontology-based data access (OBDA) is a popular approach for integrating and querying multiple data sources by means of a shared ontology. The ontology is linked to the sources using mappings, which assign views over the data to ontology predicates. Motivated by the need for OBDA systems supporting database-style aggreg...
2401.03321
Yintao Tai
Yintao Tai, Xiyang Liao, Alessandro Suglia, Antonio Vergari
PIXAR: Auto-Regressive Language Modeling in Pixel Space
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by-sa/4.0/
Recent work showed the possibility of building open-vocabulary large language models (LLMs) that directly operate on pixel representations. These models are implemented as autoencoders that reconstruct masked patches of rendered text. However, these pixel-based LLMs are limited to discriminative tasks (e.g., classifi...
[ { "created": "Sat, 6 Jan 2024 22:49:38 GMT", "version": "v1" }, { "created": "Fri, 23 Feb 2024 19:06:35 GMT", "version": "v2" } ]
2024-02-27
[ [ "Tai", "Yintao", "" ], [ "Liao", "Xiyang", "" ], [ "Suglia", "Alessandro", "" ], [ "Vergari", "Antonio", "" ] ]
Recent work showed the possibility of building open-vocabulary large language models (LLMs) that directly operate on pixel representations. These models are implemented as autoencoders that reconstruct masked patches of rendered text. However, these pixel-based LLMs are limited to discriminative tasks (e.g., classifica...
1806.07844
Alessandro Bay
Alessandro Bay, Panagiotis Sidiropoulos, Eduard Vazquez, and Michele Sasdelli
Hide and Seek tracker: Real-time recovery from target loss
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we examine the real-time recovery of a video tracker from a target loss, using information that is already available from the original tracker and without a significant computational overhead. More specifically, before using the tracker output to update the target position we estimate the detection con...
[ { "created": "Wed, 20 Jun 2018 17:09:02 GMT", "version": "v1" } ]
2018-06-21
[ [ "Bay", "Alessandro", "" ], [ "Sidiropoulos", "Panagiotis", "" ], [ "Vazquez", "Eduard", "" ], [ "Sasdelli", "Michele", "" ] ]
In this paper, we examine the real-time recovery of a video tracker from a target loss, using information that is already available from the original tracker and without a significant computational overhead. More specifically, before using the tracker output to update the target position we estimate the detection confi...
2206.08361
Keqiang Sun
Keqiang Sun, Shangzhe Wu, Zhaoyang Huang, Ning Zhang, Quan Wang, HongSheng Li
Controllable 3D Face Synthesis with Conditional Generative Occupancy Fields
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Capitalizing on the recent advances in image generation models, existing controllable face image synthesis methods are able to generate high-fidelity images with some levels of controllability, e.g., controlling the shapes, expressions, textures, and poses of the generated face images. However, these methods focus on...
[ { "created": "Thu, 16 Jun 2022 17:58:42 GMT", "version": "v1" }, { "created": "Mon, 12 Dec 2022 07:03:07 GMT", "version": "v2" } ]
2022-12-13
[ [ "Sun", "Keqiang", "" ], [ "Wu", "Shangzhe", "" ], [ "Huang", "Zhaoyang", "" ], [ "Zhang", "Ning", "" ], [ "Wang", "Quan", "" ], [ "Li", "HongSheng", "" ] ]
Capitalizing on the recent advances in image generation models, existing controllable face image synthesis methods are able to generate high-fidelity images with some levels of controllability, e.g., controlling the shapes, expressions, textures, and poses of the generated face images. However, these methods focus on 2...
1403.7991
Mirtha Lina Fern\'andez Venero
Mirtha Lina Fern\'andez Venero and Fl\'avio Soares Corr\^ea da Silva
A general translation from nested Petri nets into PROMELA
null
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Nested Petri nets have been applied for modeling interaction protocols, mobility, adaptive systems and interorganizational workflows. However, few results have been reported on the use of automated tools for analyzing the behavior of these nets. In this paper we present a general translation from nested Petri nets in...
[ { "created": "Mon, 31 Mar 2014 13:34:44 GMT", "version": "v1" } ]
2014-04-01
[ [ "Venero", "Mirtha Lina Fernández", "" ], [ "da Silva", "Flávio Soares Corrêa", "" ] ]
Nested Petri nets have been applied for modeling interaction protocols, mobility, adaptive systems and interorganizational workflows. However, few results have been reported on the use of automated tools for analyzing the behavior of these nets. In this paper we present a general translation from nested Petri nets into...
2004.03352
Salman Shaikh Dr
Salman Ahmed Shaikh, Komal Mariam, Hiroyuki Kitagawa, Kyoung-Sook Kim
GeoFlink: A Distributed and Scalable Framework for the Real-time Processing of Spatial Streams
CIKM 2020 Preprint
null
null
null
cs.DB cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Apache Flink is an open-source system for scalable processing of batch and streaming data. Flink does not natively support efficient processing of spatial data streams, which is a requirement of many applications dealing with spatial data. Besides Flink, other scalable spatial data processing platforms including GeoS...
[ { "created": "Tue, 7 Apr 2020 13:27:02 GMT", "version": "v1" }, { "created": "Wed, 15 Apr 2020 05:06:13 GMT", "version": "v2" }, { "created": "Mon, 3 Aug 2020 01:25:46 GMT", "version": "v3" } ]
2020-08-04
[ [ "Shaikh", "Salman Ahmed", "" ], [ "Mariam", "Komal", "" ], [ "Kitagawa", "Hiroyuki", "" ], [ "Kim", "Kyoung-Sook", "" ] ]
Apache Flink is an open-source system for scalable processing of batch and streaming data. Flink does not natively support efficient processing of spatial data streams, which is a requirement of many applications dealing with spatial data. Besides Flink, other scalable spatial data processing platforms including GeoSpa...
2210.16656
Jiachen Liu
Jiachen Liu, Fan Lai, Yinwei Dai, Aditya Akella, Harsha Madhyastha, Mosharaf Chowdhury
Auxo: Efficient Federated Learning via Scalable Client Clustering
18 pages
null
10.1145/3620678.3624651
null
cs.LG cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Federated learning (FL) is an emerging machine learning (ML) paradigm that enables heterogeneous edge devices to collaboratively train ML models without revealing their raw data to a logically centralized server. However, beyond the heterogeneous device capacity, FL participants often exhibit differences in their dat...
[ { "created": "Sat, 29 Oct 2022 17:36:51 GMT", "version": "v1" }, { "created": "Sat, 30 Sep 2023 05:19:26 GMT", "version": "v2" } ]
2023-10-03
[ [ "Liu", "Jiachen", "" ], [ "Lai", "Fan", "" ], [ "Dai", "Yinwei", "" ], [ "Akella", "Aditya", "" ], [ "Madhyastha", "Harsha", "" ], [ "Chowdhury", "Mosharaf", "" ] ]
Federated learning (FL) is an emerging machine learning (ML) paradigm that enables heterogeneous edge devices to collaboratively train ML models without revealing their raw data to a logically centralized server. However, beyond the heterogeneous device capacity, FL participants often exhibit differences in their data ...
1804.01041
Prashant Mathur
Prashant Mathur, Nicola Ueffing and Gregor Leusch
Multi-lingual neural title generation for e-Commerce browse pages
To appear in NAACL 2018 (Industry track), 8 pages
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
To provide better access of the inventory to buyers and better search engine optimization, e-Commerce websites are automatically generating millions of easily searchable browse pages. A browse page consists of a set of slot name/value pairs within a given category, grouping multiple items which share some characteris...
[ { "created": "Tue, 3 Apr 2018 15:41:44 GMT", "version": "v1" } ]
2018-04-04
[ [ "Mathur", "Prashant", "" ], [ "Ueffing", "Nicola", "" ], [ "Leusch", "Gregor", "" ] ]
To provide better access of the inventory to buyers and better search engine optimization, e-Commerce websites are automatically generating millions of easily searchable browse pages. A browse page consists of a set of slot name/value pairs within a given category, grouping multiple items which share some characteristi...
1909.08011
Omar Maraqa
Omar Maraqa, Aditya S. Rajasekaran (Member, IEEE), Saad Al-Ahmadi, Halim Yanikomeroglu (Fellow, IEEE), Sadiq M. Sait (Senior Member, IEEE)
A Survey of Rate-optimal Power Domain NOMA with Enabling Technologies of Future Wireless Networks
Accepted for publication in IEEE Surveys and Tutorials, July 2020
null
10.1109/COMST.2020.3013514
null
cs.IT cs.NI eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The ambitious high data-rate applications in the envisioned future B5G networks require new solutions, including the advent of more advanced architectures than the ones already used in 5G networks, and the coalition of different communications schemes and technologies to enable these applications requirements. Among ...
[ { "created": "Tue, 17 Sep 2019 18:15:01 GMT", "version": "v1" }, { "created": "Fri, 21 Feb 2020 18:51:02 GMT", "version": "v2" }, { "created": "Wed, 24 Jun 2020 19:58:38 GMT", "version": "v3" }, { "created": "Thu, 30 Jul 2020 11:03:02 GMT", "version": "v4" } ]
2020-08-05
[ [ "Maraqa", "Omar", "", "Member, IEEE" ], [ "Rajasekaran", "Aditya S.", "", "Member, IEEE" ], [ "Al-Ahmadi", "Saad", "", "Fellow, IEEE" ], [ "Yanikomeroglu", "Halim", "", "Fellow, IEEE" ], [ "Sait", "Sadiq M.", "", "Seni...
The ambitious high data-rate applications in the envisioned future B5G networks require new solutions, including the advent of more advanced architectures than the ones already used in 5G networks, and the coalition of different communications schemes and technologies to enable these applications requirements. Among th...
1812.03781
Pranav A
Pranav A, Nick Sukiennik, Pan Hui
Inflo: News Categorization and Keyphrase Extraction for Implementation in an Aggregation System
Demo paper, links inside the paper
null
null
null
cs.IR cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The work herein describes a system for automatic news category and keyphrase labeling, presented in the context of our motivation to improve the speed at which a user can find relevant and interesting content within an aggregation platform. A set of 12 discrete categories were applied to over 500,000 news articles fo...
[ { "created": "Mon, 10 Dec 2018 13:36:09 GMT", "version": "v1" } ]
2018-12-11
[ [ "A", "Pranav", "" ], [ "Sukiennik", "Nick", "" ], [ "Hui", "Pan", "" ] ]
The work herein describes a system for automatic news category and keyphrase labeling, presented in the context of our motivation to improve the speed at which a user can find relevant and interesting content within an aggregation platform. A set of 12 discrete categories were applied to over 500,000 news articles for ...
2305.13275
Ziaullah Momand
Ziaullah Momand, Debajyoti Pal, Pornchai Mongkolnam, Jonathan H. Chan
A Machine Learning Approach to Detect Dehydration in Afghan Children
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by-sa/4.0/
Child dehydration is a significant health concern, especially among children under 5 years of age who are more susceptible to diarrhea and vomiting. In Afghanistan, severe diarrhea contributes to child mortality due to dehydration. However, there is no evidence of research exploring the potential of machine learning ...
[ { "created": "Mon, 22 May 2023 17:36:21 GMT", "version": "v1" } ]
2023-05-23
[ [ "Momand", "Ziaullah", "" ], [ "Pal", "Debajyoti", "" ], [ "Mongkolnam", "Pornchai", "" ], [ "Chan", "Jonathan H.", "" ] ]
Child dehydration is a significant health concern, especially among children under 5 years of age who are more susceptible to diarrhea and vomiting. In Afghanistan, severe diarrhea contributes to child mortality due to dehydration. However, there is no evidence of research exploring the potential of machine learning te...
2002.06043
Wouter Kool
Wouter Kool, Herke van Hoof, Max Welling
Estimating Gradients for Discrete Random Variables by Sampling without Replacement
ICLR 2020
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We derive an unbiased estimator for expectations over discrete random variables based on sampling without replacement, which reduces variance as it avoids duplicate samples. We show that our estimator can be derived as the Rao-Blackwellization of three different estimators. Combining our estimator with REINFORCE, we ...
[ { "created": "Fri, 14 Feb 2020 14:15:18 GMT", "version": "v1" } ]
2020-02-17
[ [ "Kool", "Wouter", "" ], [ "van Hoof", "Herke", "" ], [ "Welling", "Max", "" ] ]
We derive an unbiased estimator for expectations over discrete random variables based on sampling without replacement, which reduces variance as it avoids duplicate samples. We show that our estimator can be derived as the Rao-Blackwellization of three different estimators. Combining our estimator with REINFORCE, we ob...
2307.12146
Asif Imran
Raj Narendra Shah, Sameer Ahmed Mohamed, Asif Imran, Tevfik Kosar
CloudScent: a model for code smell analysis in open-source cloud
null
null
null
null
cs.SE cs.DC
http://creativecommons.org/licenses/by/4.0/
The low cost and rapid provisioning capabilities have made open-source cloud a desirable platform to launch industrial applications. However, as open-source cloud moves towards maturity, it still suffers from quality issues like code smells. Although, a great emphasis has been provided on the economic benefits of dep...
[ { "created": "Sat, 22 Jul 2023 19:01:38 GMT", "version": "v1" } ]
2023-07-25
[ [ "Shah", "Raj Narendra", "" ], [ "Mohamed", "Sameer Ahmed", "" ], [ "Imran", "Asif", "" ], [ "Kosar", "Tevfik", "" ] ]
The low cost and rapid provisioning capabilities have made open-source cloud a desirable platform to launch industrial applications. However, as open-source cloud moves towards maturity, it still suffers from quality issues like code smells. Although, a great emphasis has been provided on the economic benefits of deplo...
2101.08523
Ashutosh Modi
Vijit Malik and Ashwani Bhat and Ashutosh Modi
Adv-OLM: Generating Textual Adversaries via OLM
5 Pages + 1 Page references + 3 Pages Appendix, Accepted at EACL 2021
null
null
null
cs.CL cs.AI cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
Deep learning models are susceptible to adversarial examples that have imperceptible perturbations in the original input, resulting in adversarial attacks against these models. Analysis of these attacks on the state of the art transformers in NLP can help improve the robustness of these models against such adversaria...
[ { "created": "Thu, 21 Jan 2021 10:04:56 GMT", "version": "v1" } ]
2021-01-22
[ [ "Malik", "Vijit", "" ], [ "Bhat", "Ashwani", "" ], [ "Modi", "Ashutosh", "" ] ]
Deep learning models are susceptible to adversarial examples that have imperceptible perturbations in the original input, resulting in adversarial attacks against these models. Analysis of these attacks on the state of the art transformers in NLP can help improve the robustness of these models against such adversarial ...
2306.08111
Rishabh Khandelwal
Rishabh Khandelwal, Asmit Nayak, Paul Chung, and Kassem Fawaz
Unpacking Privacy Labels: A Measurement and Developer Perspective on Google's Data Safety Section
null
null
null
null
cs.CY cs.HC
http://creativecommons.org/licenses/by/4.0/
Google has mandated developers to use Data Safety Sections (DSS) to increase transparency in data collection and sharing practices. In this paper, we present a comprehensive analysis of Google's Data Safety Section (DSS) using both quantitative and qualitative methods. We conduct the first large-scale measurement stu...
[ { "created": "Tue, 13 Jun 2023 20:01:08 GMT", "version": "v1" } ]
2023-06-16
[ [ "Khandelwal", "Rishabh", "" ], [ "Nayak", "Asmit", "" ], [ "Chung", "Paul", "" ], [ "Fawaz", "Kassem", "" ] ]
Google has mandated developers to use Data Safety Sections (DSS) to increase transparency in data collection and sharing practices. In this paper, we present a comprehensive analysis of Google's Data Safety Section (DSS) using both quantitative and qualitative methods. We conduct the first large-scale measurement study...
1903.03014
Xavier Goaoc
Xavier Goaoc, Andreas Holmsen and Cyril Nicaud
An Experimental Study of Forbidden Patterns in Geometric Permutations by Combinatorial Lifting
null
null
null
null
cs.CG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the problem of deciding if a given triple of permutations can be realized as geometric permutations of disjoint convex sets in $\mathbb{R}^3$. We show that this question, which is equivalent to deciding the emptiness of certain semi-algebraic sets bounded by cubic polynomials, can be "lifted" to a purely com...
[ { "created": "Thu, 7 Mar 2019 16:02:20 GMT", "version": "v1" } ]
2019-03-08
[ [ "Goaoc", "Xavier", "" ], [ "Holmsen", "Andreas", "" ], [ "Nicaud", "Cyril", "" ] ]
We study the problem of deciding if a given triple of permutations can be realized as geometric permutations of disjoint convex sets in $\mathbb{R}^3$. We show that this question, which is equivalent to deciding the emptiness of certain semi-algebraic sets bounded by cubic polynomials, can be "lifted" to a purely combi...
1904.12409
Scott Stoller
Scott D. Stoller and Yanhong A. Liu
Algorithm Diversity for Resilient Systems
null
In Proceedings of the 33rd Annual IFIP WG 11.3 Working Conference on Data and Applications Security and Privacy (DBSec 2019), volume 11559 of Lecture Notes in Computer Science. Springer-Verlag, 2019
10.1007/978-3-030-22479-0_19
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Diversity can significantly increase the resilience of systems, by reducing the prevalence of shared vulnerabilities and making vulnerabilities harder to exploit. Work on software diversity for security typically creates variants of a program using low-level code transformations. This paper is the first to study algo...
[ { "created": "Mon, 29 Apr 2019 00:56:48 GMT", "version": "v1" } ]
2019-07-23
[ [ "Stoller", "Scott D.", "" ], [ "Liu", "Yanhong A.", "" ] ]
Diversity can significantly increase the resilience of systems, by reducing the prevalence of shared vulnerabilities and making vulnerabilities harder to exploit. Work on software diversity for security typically creates variants of a program using low-level code transformations. This paper is the first to study algori...
2310.10634
Fan Zhou
Tianbao Xie, Fan Zhou, Zhoujun Cheng, Peng Shi, Luoxuan Weng, Yitao Liu, Toh Jing Hua, Junning Zhao, Qian Liu, Che Liu, Leo Z. Liu, Yiheng Xu, Hongjin Su, Dongchan Shin, Caiming Xiong, Tao Yu
OpenAgents: An Open Platform for Language Agents in the Wild
34 pages, 8 figures
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
Language agents show potential in being capable of utilizing natural language for varied and intricate tasks in diverse environments, particularly when built upon large language models (LLMs). Current language agent frameworks aim to facilitate the construction of proof-of-concept language agents while neglecting the...
[ { "created": "Mon, 16 Oct 2023 17:54:53 GMT", "version": "v1" } ]
2023-10-17
[ [ "Xie", "Tianbao", "" ], [ "Zhou", "Fan", "" ], [ "Cheng", "Zhoujun", "" ], [ "Shi", "Peng", "" ], [ "Weng", "Luoxuan", "" ], [ "Liu", "Yitao", "" ], [ "Hua", "Toh Jing", "" ], [ "Zhao", "Junning...
Language agents show potential in being capable of utilizing natural language for varied and intricate tasks in diverse environments, particularly when built upon large language models (LLMs). Current language agent frameworks aim to facilitate the construction of proof-of-concept language agents while neglecting the n...
1108.3848
Juraj Dzifcak
Chitta Baral and Juraj Dzifcak
Language understanding as a step towards human level intelligence - automatizing the construction of the initial dictionary from example sentences
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
For a system to understand natural language, it needs to be able to take natural language text and answer questions given in natural language with respect to that text; it also needs to be able to follow instructions given in natural language. To achieve this, a system must be able to process natural language and be ...
[ { "created": "Thu, 18 Aug 2011 20:12:50 GMT", "version": "v1" } ]
2011-08-22
[ [ "Baral", "Chitta", "" ], [ "Dzifcak", "Juraj", "" ] ]
For a system to understand natural language, it needs to be able to take natural language text and answer questions given in natural language with respect to that text; it also needs to be able to follow instructions given in natural language. To achieve this, a system must be able to process natural language and be ab...
2103.00124
Muhammad Usman
Muhammad Usman, Yannic Noller, Corina Pasareanu, Youcheng Sun, Divya Gopinath
NEUROSPF: A tool for the Symbolic Analysis of Neural Networks
null
null
null
null
cs.LG cs.AI cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents NEUROSPF, a tool for the symbolic analysis of neural networks. Given a trained neural network model, the tool extracts the architecture and model parameters and translates them into a Java representation that is amenable for analysis using the Symbolic PathFinder symbolic execution tool. Notably, ...
[ { "created": "Sat, 27 Feb 2021 04:28:11 GMT", "version": "v1" } ]
2021-03-02
[ [ "Usman", "Muhammad", "" ], [ "Noller", "Yannic", "" ], [ "Pasareanu", "Corina", "" ], [ "Sun", "Youcheng", "" ], [ "Gopinath", "Divya", "" ] ]
This paper presents NEUROSPF, a tool for the symbolic analysis of neural networks. Given a trained neural network model, the tool extracts the architecture and model parameters and translates them into a Java representation that is amenable for analysis using the Symbolic PathFinder symbolic execution tool. Notably, NE...
2304.05351
Qianqian Xie
Qianqian Xie, Weiguang Han, Yanzhao Lai, Min Peng, Jimin Huang
The Wall Street Neophyte: A Zero-Shot Analysis of ChatGPT Over MultiModal Stock Movement Prediction Challenges
13 pages
null
null
null
cs.CL cs.LG q-fin.ST
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently, large language models (LLMs) like ChatGPT have demonstrated remarkable performance across a variety of natural language processing tasks. However, their effectiveness in the financial domain, specifically in predicting stock market movements, remains to be explored. In this paper, we conduct an extensive ze...
[ { "created": "Mon, 10 Apr 2023 04:31:00 GMT", "version": "v1" }, { "created": "Fri, 28 Apr 2023 12:06:43 GMT", "version": "v2" } ]
2023-05-01
[ [ "Xie", "Qianqian", "" ], [ "Han", "Weiguang", "" ], [ "Lai", "Yanzhao", "" ], [ "Peng", "Min", "" ], [ "Huang", "Jimin", "" ] ]
Recently, large language models (LLMs) like ChatGPT have demonstrated remarkable performance across a variety of natural language processing tasks. However, their effectiveness in the financial domain, specifically in predicting stock market movements, remains to be explored. In this paper, we conduct an extensive zero...
1406.6889
Pierre-\'Etienne Meunier
Pierre-\'Etienne Meunier
Noncooperative algorithms in self-assembly
A few bug fixes and typo corrections
null
null
null
cs.CG cs.CC cs.DS cs.FL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We show the first non-trivial positive algorithmic results (i.e. programs whose output is larger than their size), in a model of self-assembly that has so far resisted many attempts of formal analysis or programming: the planar non-cooperative variant of Winfree's abstract Tile Assembly Model. This model has been t...
[ { "created": "Thu, 26 Jun 2014 13:52:19 GMT", "version": "v1" }, { "created": "Thu, 10 Jul 2014 17:22:50 GMT", "version": "v2" } ]
2014-07-11
[ [ "Meunier", "Pierre-Étienne", "" ] ]
We show the first non-trivial positive algorithmic results (i.e. programs whose output is larger than their size), in a model of self-assembly that has so far resisted many attempts of formal analysis or programming: the planar non-cooperative variant of Winfree's abstract Tile Assembly Model. This model has been the c...
2212.13406
Arka Ray
Anand Louis, Rameesh Paul and Arka Ray
Sparse Cuts in Hypergraphs from Random Walks on Simplicial Complexes
27 pages;
null
null
null
cs.DS math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
There are a lot of recent works on generalizing the spectral theory of graphs and graph partitioning to hypergraphs. There have been two broad directions toward this goal. One generalizes the notion of graph conductance to hypergraph conductance [LM16, CLTZ18]. In the second approach one can view a hypergraph as a si...
[ { "created": "Tue, 27 Dec 2022 08:25:29 GMT", "version": "v1" }, { "created": "Sat, 11 Feb 2023 11:40:46 GMT", "version": "v2" }, { "created": "Tue, 3 Oct 2023 11:58:19 GMT", "version": "v3" } ]
2023-10-04
[ [ "Louis", "Anand", "" ], [ "Paul", "Rameesh", "" ], [ "Ray", "Arka", "" ] ]
There are a lot of recent works on generalizing the spectral theory of graphs and graph partitioning to hypergraphs. There have been two broad directions toward this goal. One generalizes the notion of graph conductance to hypergraph conductance [LM16, CLTZ18]. In the second approach one can view a hypergraph as a simp...
2006.12983
Yuval Tassa
Yuval Tassa, Saran Tunyasuvunakool, Alistair Muldal, Yotam Doron, Piotr Trochim, Siqi Liu, Steven Bohez, Josh Merel, Tom Erez, Timothy Lillicrap, Nicolas Heess
dm_control: Software and Tasks for Continuous Control
arXiv admin note: text overlap with arXiv:1801.00690
null
10.1016/j.simpa.2020.100022
null
cs.RO cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The dm_control software package is a collection of Python libraries and task suites for reinforcement learning agents in an articulated-body simulation. A MuJoCo wrapper provides convenient bindings to functions and data structures. The PyMJCF and Composer libraries enable procedural model manipulation and task autho...
[ { "created": "Mon, 22 Jun 2020 17:52:00 GMT", "version": "v1" }, { "created": "Mon, 7 Sep 2020 14:28:10 GMT", "version": "v2" } ]
2020-09-08
[ [ "Tassa", "Yuval", "" ], [ "Tunyasuvunakool", "Saran", "" ], [ "Muldal", "Alistair", "" ], [ "Doron", "Yotam", "" ], [ "Trochim", "Piotr", "" ], [ "Liu", "Siqi", "" ], [ "Bohez", "Steven", "" ], [ "M...
The dm_control software package is a collection of Python libraries and task suites for reinforcement learning agents in an articulated-body simulation. A MuJoCo wrapper provides convenient bindings to functions and data structures. The PyMJCF and Composer libraries enable procedural model manipulation and task authori...
1805.09959
Eric Clark Mr.
Eric M. Clark, Ted James, Chris A. Jones, Amulya Alapati, Promise Ukandu, Christopher M. Danforth, Peter Sheridan Dodds
A Sentiment Analysis of Breast Cancer Treatment Experiences and Healthcare Perceptions Across Twitter
null
null
null
null
cs.CL cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Background: Social media has the capacity to afford the healthcare industry with valuable feedback from patients who reveal and express their medical decision-making process, as well as self-reported quality of life indicators both during and post treatment. In prior work, [Crannell et. al.], we have studied an activ...
[ { "created": "Fri, 25 May 2018 03:13:49 GMT", "version": "v1" }, { "created": "Fri, 12 Oct 2018 23:45:08 GMT", "version": "v2" } ]
2018-10-16
[ [ "Clark", "Eric M.", "" ], [ "James", "Ted", "" ], [ "Jones", "Chris A.", "" ], [ "Alapati", "Amulya", "" ], [ "Ukandu", "Promise", "" ], [ "Danforth", "Christopher M.", "" ], [ "Dodds", "Peter Sheridan", ""...
Background: Social media has the capacity to afford the healthcare industry with valuable feedback from patients who reveal and express their medical decision-making process, as well as self-reported quality of life indicators both during and post treatment. In prior work, [Crannell et. al.], we have studied an active ...
2012.00743
Stefanos Antaris
Dimitrios Rafailidis, Stefanos Antaris
Adaptive Neural Architectures for Recommender Systems
null
null
null
null
cs.IR cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
Deep learning has proved an effective means to capture the non-linear associations of user preferences. However, the main drawback of existing deep learning architectures is that they follow a fixed recommendation strategy, ignoring users' real time-feedback. Recent advances of deep reinforcement strategies showed th...
[ { "created": "Wed, 11 Nov 2020 09:43:20 GMT", "version": "v1" } ]
2020-12-02
[ [ "Rafailidis", "Dimitrios", "" ], [ "Antaris", "Stefanos", "" ] ]
Deep learning has proved an effective means to capture the non-linear associations of user preferences. However, the main drawback of existing deep learning architectures is that they follow a fixed recommendation strategy, ignoring users' real time-feedback. Recent advances of deep reinforcement strategies showed that...
2401.05300
Tristan Thrush
Tristan Thrush, Jared Moore, Miguel Monares, Christopher Potts, Douwe Kiela
I am a Strange Dataset: Metalinguistic Tests for Language Models
ACL 2024
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
Statements involving metalinguistic self-reference ("This paper has six sections.") are prevalent in many domains. Can current large language models (LLMs) handle such language? In this paper, we present "I am a Strange Dataset", a new dataset for addressing this question. There are two subtasks: generation and verif...
[ { "created": "Wed, 10 Jan 2024 18:06:27 GMT", "version": "v1" }, { "created": "Tue, 6 Aug 2024 19:24:42 GMT", "version": "v2" } ]
2024-08-08
[ [ "Thrush", "Tristan", "" ], [ "Moore", "Jared", "" ], [ "Monares", "Miguel", "" ], [ "Potts", "Christopher", "" ], [ "Kiela", "Douwe", "" ] ]
Statements involving metalinguistic self-reference ("This paper has six sections.") are prevalent in many domains. Can current large language models (LLMs) handle such language? In this paper, we present "I am a Strange Dataset", a new dataset for addressing this question. There are two subtasks: generation and verific...
2308.12547
Rafael Zimmer
Rafael Zimmer and Marcos Sobral and Helio Azevedo
Hybrid Models for Facial Emotion Recognition in Children
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by-sa/4.0/
This paper focuses on the use of emotion recognition techniques to assist psychologists in performing children's therapy through remotely robot operated sessions. In the field of psychology, the use of agent-mediated therapy is growing increasingly given recent advances in robotics and computer science. Specifically,...
[ { "created": "Thu, 24 Aug 2023 04:20:20 GMT", "version": "v1" } ]
2023-08-25
[ [ "Zimmer", "Rafael", "" ], [ "Sobral", "Marcos", "" ], [ "Azevedo", "Helio", "" ] ]
This paper focuses on the use of emotion recognition techniques to assist psychologists in performing children's therapy through remotely robot operated sessions. In the field of psychology, the use of agent-mediated therapy is growing increasingly given recent advances in robotics and computer science. Specifically, t...
2401.13794
Ayad Ghany Ismaeel
Ayad Ghany Ismaeel, Krishnadas Janardhanan, Manishankar Sankar, Yuvaraj Natarajan, Sarmad Nozad Mahmood, Sameer Alani, and Akram H. Shather
Traffic Pattern Classification in Smart Cities Using Deep Recurrent Neural Network
18 pages, 6 figures, 3 tables
sustainability 2023, 15, 14522
10.3390/su151914522
null
cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
This paper examines the use of deep recurrent neural networks to classify traffic patterns in smart cities. We propose a novel approach to traffic pattern classification based on deep recurrent neural networks, which can effectively capture traffic patterns' dynamic and sequential features. The proposed model combine...
[ { "created": "Wed, 24 Jan 2024 20:24:32 GMT", "version": "v1" } ]
2024-01-26
[ [ "Ismaeel", "Ayad Ghany", "" ], [ "Janardhanan", "Krishnadas", "" ], [ "Sankar", "Manishankar", "" ], [ "Natarajan", "Yuvaraj", "" ], [ "Mahmood", "Sarmad Nozad", "" ], [ "Alani", "Sameer", "" ], [ "Shather", "A...
This paper examines the use of deep recurrent neural networks to classify traffic patterns in smart cities. We propose a novel approach to traffic pattern classification based on deep recurrent neural networks, which can effectively capture traffic patterns' dynamic and sequential features. The proposed model combines ...
1707.00391
Suresh Venkatasubramanian
Amanda Bower and Sarah N. Kitchen and Laura Niss and Martin J. Strauss and Alexander Vargas and Suresh Venkatasubramanian
Fair Pipelines
Presented as a poster at the 2017 Workshop on Fairness, Accountability, and Transparency in Machine Learning (FAT/ML 2017)
null
null
null
cs.CY cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This work facilitates ensuring fairness of machine learning in the real world by decoupling fairness considerations in compound decisions. In particular, this work studies how fairness propagates through a compound decision-making processes, which we call a pipeline. Prior work in algorithmic fairness only focuses on...
[ { "created": "Mon, 3 Jul 2017 03:53:29 GMT", "version": "v1" } ]
2017-07-04
[ [ "Bower", "Amanda", "" ], [ "Kitchen", "Sarah N.", "" ], [ "Niss", "Laura", "" ], [ "Strauss", "Martin J.", "" ], [ "Vargas", "Alexander", "" ], [ "Venkatasubramanian", "Suresh", "" ] ]
This work facilitates ensuring fairness of machine learning in the real world by decoupling fairness considerations in compound decisions. In particular, this work studies how fairness propagates through a compound decision-making processes, which we call a pipeline. Prior work in algorithmic fairness only focuses on f...
2407.11052
Meihan Liu
Meihan Liu, Zhen Zhang, Jiachen Tang, Jiajun Bu, Bingsheng He, Sheng Zhou
Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation
null
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
Unsupervised Graph Domain Adaptation (UGDA) involves the transfer of knowledge from a label-rich source graph to an unlabeled target graph under domain discrepancies. Despite the proliferation of methods designed for this emerging task, the lack of standard experimental settings and fair performance comparisons makes...
[ { "created": "Tue, 9 Jul 2024 06:44:09 GMT", "version": "v1" } ]
2024-07-17
[ [ "Liu", "Meihan", "" ], [ "Zhang", "Zhen", "" ], [ "Tang", "Jiachen", "" ], [ "Bu", "Jiajun", "" ], [ "He", "Bingsheng", "" ], [ "Zhou", "Sheng", "" ] ]
Unsupervised Graph Domain Adaptation (UGDA) involves the transfer of knowledge from a label-rich source graph to an unlabeled target graph under domain discrepancies. Despite the proliferation of methods designed for this emerging task, the lack of standard experimental settings and fair performance comparisons makes i...
1206.1406
Arundhati Walia Anu
Arundhati Walia, Syed i. Ahson
A Novel Advanced Heap Corruption and Security Method
5 pages,9 figures
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Heap security has been a major concern since the past two decades. Recently many methods have been proposed to secure heap i.e. to avoid heap overrun and attacks. The paper describes a method suggested to secure heap at the operating system level. Major emphasis is given to Solaris operating system's dynamic memory m...
[ { "created": "Thu, 7 Jun 2012 06:48:49 GMT", "version": "v1" } ]
2012-06-08
[ [ "Walia", "Arundhati", "" ], [ "Ahson", "Syed i.", "" ] ]
Heap security has been a major concern since the past two decades. Recently many methods have been proposed to secure heap i.e. to avoid heap overrun and attacks. The paper describes a method suggested to secure heap at the operating system level. Major emphasis is given to Solaris operating system's dynamic memory man...
1701.08492
Tadashi Wadayama
Takafumi Nakano and Tadashi Wadayama
On Zero Error Capacity of Nearest Neighbor Error Channels with Multilevel Alphabet
null
null
10.1587/transfun.E100.A.2647
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper studies the zero error capacity of the Nearest Neighbor Error (NNE) channels with a multilevel alphabet. In the NNE channels, a transmitted symbol is a $d$-tuple of elements in $\{0,1,2,\dots, n-1 \}$. It is assumed that only one element error to a nearest neighbor element in a transmitted symbol can occur...
[ { "created": "Mon, 30 Jan 2017 06:44:11 GMT", "version": "v1" } ]
2018-02-14
[ [ "Nakano", "Takafumi", "" ], [ "Wadayama", "Tadashi", "" ] ]
This paper studies the zero error capacity of the Nearest Neighbor Error (NNE) channels with a multilevel alphabet. In the NNE channels, a transmitted symbol is a $d$-tuple of elements in $\{0,1,2,\dots, n-1 \}$. It is assumed that only one element error to a nearest neighbor element in a transmitted symbol can occur. ...
1903.11693
Philipp Mayr
Wolfgang Otto, Behnam Ghavimi, Philipp Mayr, Rajesh Piryani, Vivek Kumar Singh
Highly cited references in PLOS ONE and their in-text usage over time
6 pages, 3 figures, revised research-in-progress paper accepted at the 17th International Conference on Scientometrics & Informetrics (ISSI 2019), Rome, Italy
null
null
null
cs.DL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this article, we describe highly cited publications in a PLOS ONE full-text corpus. For these publications, we analyse the citation contexts concerning their position in the text and their age at the time of citing. By selecting the perspective of highly cited papers, we can distinguish them based on the context d...
[ { "created": "Wed, 27 Mar 2019 20:42:36 GMT", "version": "v1" }, { "created": "Tue, 28 May 2019 11:03:42 GMT", "version": "v2" }, { "created": "Wed, 9 Oct 2019 19:00:00 GMT", "version": "v3" } ]
2019-10-11
[ [ "Otto", "Wolfgang", "" ], [ "Ghavimi", "Behnam", "" ], [ "Mayr", "Philipp", "" ], [ "Piryani", "Rajesh", "" ], [ "Singh", "Vivek Kumar", "" ] ]
In this article, we describe highly cited publications in a PLOS ONE full-text corpus. For these publications, we analyse the citation contexts concerning their position in the text and their age at the time of citing. By selecting the perspective of highly cited papers, we can distinguish them based on the context dur...
2311.04581
Suraj Mandal
Suraj Mandal and Debapriya Basu Roy
KiD: A Hardware Design Framework Targeting Unified NTT Multiplication for CRYSTALS-Kyber and CRYSTALS-Dilithium on FPGA
null
null
null
null
cs.AR cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large-degree polynomial multiplication is an integral component of post-quantum secure lattice-based cryptographic algorithms like CRYSTALS-Kyber and Dilithium. The computational complexity of large-degree polynomial multiplication can be reduced significantly through Number Theoretic Transformation (NTT). In this pa...
[ { "created": "Wed, 8 Nov 2023 10:26:13 GMT", "version": "v1" } ]
2023-11-09
[ [ "Mandal", "Suraj", "" ], [ "Roy", "Debapriya Basu", "" ] ]
Large-degree polynomial multiplication is an integral component of post-quantum secure lattice-based cryptographic algorithms like CRYSTALS-Kyber and Dilithium. The computational complexity of large-degree polynomial multiplication can be reduced significantly through Number Theoretic Transformation (NTT). In this pape...
2401.13570
Xiaoya Zhai
Yanyan Yang, Lili Wang, Xiaoya Zhai, Kai Chen, Wenming Wu, Yunkai Zhao, Ligang Liu, Xiao-Ming Fu
Guided Diffusion for Fast Inverse Design of Density-based Mechanical Metamaterials
13 pages, 6 figures
null
null
null
cs.CE cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Mechanical metamaterial is a synthetic material that can possess extraordinary physical characteristics, such as abnormal elasticity, stiffness, and stability, by carefully designing its internal structure. To make metamaterials contain delicate local structures with unique mechanical properties, it is a potential me...
[ { "created": "Wed, 24 Jan 2024 16:31:50 GMT", "version": "v1" }, { "created": "Mon, 10 Jun 2024 11:26:14 GMT", "version": "v2" } ]
2024-06-11
[ [ "Yang", "Yanyan", "" ], [ "Wang", "Lili", "" ], [ "Zhai", "Xiaoya", "" ], [ "Chen", "Kai", "" ], [ "Wu", "Wenming", "" ], [ "Zhao", "Yunkai", "" ], [ "Liu", "Ligang", "" ], [ "Fu", "Xiao-Ming", ...
Mechanical metamaterial is a synthetic material that can possess extraordinary physical characteristics, such as abnormal elasticity, stiffness, and stability, by carefully designing its internal structure. To make metamaterials contain delicate local structures with unique mechanical properties, it is a potential meth...
1506.04107
Istemi Ekin Akkus
Istemi Ekin Akkus and Nicholas Weaver
The Case for a General and Interaction-based Third-party Cookie Policy
In Proceedings of the 9th Workshop on Web 2.0 Security and Privacy (W2SP) 2015
null
null
null
cs.CR cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The privacy implications of third-party tracking is a well-studied problem. Recent research has shown that besides data aggregators and behavioral advertisers, online social networks also act as trackers via social widgets. Existing cookie policies are not enough to solve these problems, pushing users to employ black...
[ { "created": "Fri, 12 Jun 2015 18:45:19 GMT", "version": "v1" } ]
2015-06-15
[ [ "Akkus", "Istemi Ekin", "" ], [ "Weaver", "Nicholas", "" ] ]
The privacy implications of third-party tracking is a well-studied problem. Recent research has shown that besides data aggregators and behavioral advertisers, online social networks also act as trackers via social widgets. Existing cookie policies are not enough to solve these problems, pushing users to employ blackli...
2208.10650
Hanrui Zhang
Yuan Deng, Jieming Mao, Vahab Mirrokni, Hanrui Zhang, Song Zuo
Efficiency of the First-Price Auction in the Autobidding World
null
null
null
null
cs.GT cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the price of anarchy of the first-price auction in the autobidding world, where bidders can be either utility maximizers (i.e., traditional bidders) or value maximizers (i.e., autobidders). We show that with autobidders only, the price of anarchy of the first-price auction is $1/2$, and with both kinds of bi...
[ { "created": "Mon, 22 Aug 2022 23:49:46 GMT", "version": "v1" } ]
2022-08-24
[ [ "Deng", "Yuan", "" ], [ "Mao", "Jieming", "" ], [ "Mirrokni", "Vahab", "" ], [ "Zhang", "Hanrui", "" ], [ "Zuo", "Song", "" ] ]
We study the price of anarchy of the first-price auction in the autobidding world, where bidders can be either utility maximizers (i.e., traditional bidders) or value maximizers (i.e., autobidders). We show that with autobidders only, the price of anarchy of the first-price auction is $1/2$, and with both kinds of bidd...
2303.14042
Zilin Luo
Zilin Luo, Yaoyao Liu, Bernt Schiele, Qianru Sun
Class-Incremental Exemplar Compression for Class-Incremental Learning
Accepted to CVPR 2023
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Exemplar-based class-incremental learning (CIL) finetunes the model with all samples of new classes but few-shot exemplars of old classes in each incremental phase, where the "few-shot" abides by the limited memory budget. In this paper, we break this "few-shot" limit based on a simple yet surprisingly effective idea...
[ { "created": "Fri, 24 Mar 2023 14:51:20 GMT", "version": "v1" }, { "created": "Sat, 8 Apr 2023 03:25:41 GMT", "version": "v2" } ]
2023-04-11
[ [ "Luo", "Zilin", "" ], [ "Liu", "Yaoyao", "" ], [ "Schiele", "Bernt", "" ], [ "Sun", "Qianru", "" ] ]
Exemplar-based class-incremental learning (CIL) finetunes the model with all samples of new classes but few-shot exemplars of old classes in each incremental phase, where the "few-shot" abides by the limited memory budget. In this paper, we break this "few-shot" limit based on a simple yet surprisingly effective idea: ...
1802.02326
Xin Chen
Xin Chen and Hua Zhou and Yuxiang Gao and Yu Zhu
A Novel Co-design Peta-scale Heterogeneous Cluster for Deep Learning Training
23 pages, 4 figures, 1 table
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large scale deep Convolution Neural Networks (CNNs) increasingly demands the computing power. It is key for researchers to own a great powerful computing platform to leverage deep learning (DL) advancing.On the other hand, as the commonly-used accelerator, the commodity GPUs cards of new generations are more and more...
[ { "created": "Wed, 7 Feb 2018 07:20:42 GMT", "version": "v1" }, { "created": "Mon, 16 Apr 2018 05:25:06 GMT", "version": "v2" }, { "created": "Fri, 18 May 2018 23:01:23 GMT", "version": "v3" } ]
2018-05-22
[ [ "Chen", "Xin", "" ], [ "Zhou", "Hua", "" ], [ "Gao", "Yuxiang", "" ], [ "Zhu", "Yu", "" ] ]
Large scale deep Convolution Neural Networks (CNNs) increasingly demands the computing power. It is key for researchers to own a great powerful computing platform to leverage deep learning (DL) advancing.On the other hand, as the commonly-used accelerator, the commodity GPUs cards of new generations are more and more e...
1506.07503
Jan Chorowski
Jan Chorowski, Dzmitry Bahdanau, Dmitriy Serdyuk, Kyunghyun Cho, Yoshua Bengio
Attention-Based Models for Speech Recognition
null
null
null
null
cs.CL cs.LG cs.NE stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recurrent sequence generators conditioned on input data through an attention mechanism have recently shown very good performance on a range of tasks in- cluding machine translation, handwriting synthesis and image caption gen- eration. We extend the attention-mechanism with features needed for speech recognition. We ...
[ { "created": "Wed, 24 Jun 2015 19:10:33 GMT", "version": "v1" } ]
2015-06-25
[ [ "Chorowski", "Jan", "" ], [ "Bahdanau", "Dzmitry", "" ], [ "Serdyuk", "Dmitriy", "" ], [ "Cho", "Kyunghyun", "" ], [ "Bengio", "Yoshua", "" ] ]
Recurrent sequence generators conditioned on input data through an attention mechanism have recently shown very good performance on a range of tasks in- cluding machine translation, handwriting synthesis and image caption gen- eration. We extend the attention-mechanism with features needed for speech recognition. We sh...
1907.06078
Siddique Latif
Siddique Latif, Rajib Rana, Sara Khalifa, Raja Jurdak, Julien Epps, and Bj\"orn W. Schuller
Multi-Task Semi-Supervised Adversarial Autoencoding for Speech Emotion Recognition
Accepted in IEEE Transactions on Affective Computing
null
null
null
cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Inspite the emerging importance of Speech Emotion Recognition (SER), the state-of-the-art accuracy is quite low and needs improvement to make commercial applications of SER viable. A key underlying reason for the low accuracy is the scarcity of emotion datasets, which is a challenge for developing any robust machine ...
[ { "created": "Sat, 13 Jul 2019 13:52:54 GMT", "version": "v1" }, { "created": "Wed, 17 Jul 2019 03:06:14 GMT", "version": "v2" }, { "created": "Wed, 14 Aug 2019 07:06:55 GMT", "version": "v3" }, { "created": "Wed, 20 Nov 2019 09:02:45 GMT", "version": "v4" }, { "c...
2020-03-24
[ [ "Latif", "Siddique", "" ], [ "Rana", "Rajib", "" ], [ "Khalifa", "Sara", "" ], [ "Jurdak", "Raja", "" ], [ "Epps", "Julien", "" ], [ "Schuller", "Björn W.", "" ] ]
Inspite the emerging importance of Speech Emotion Recognition (SER), the state-of-the-art accuracy is quite low and needs improvement to make commercial applications of SER viable. A key underlying reason for the low accuracy is the scarcity of emotion datasets, which is a challenge for developing any robust machine le...
2404.08156
Youngseo Son
Md Messal Monem Miah, Ulie Schnaithmann, Arushi Raghuvanshi, Youngseo Son
Multimodal Contextual Dialogue Breakdown Detection for Conversational AI Models
Published in NAACL 2024 Industry Track
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Detecting dialogue breakdown in real time is critical for conversational AI systems, because it enables taking corrective action to successfully complete a task. In spoken dialog systems, this breakdown can be caused by a variety of unexpected situations including high levels of background noise, causing STT mistrans...
[ { "created": "Thu, 11 Apr 2024 23:09:18 GMT", "version": "v1" } ]
2024-04-15
[ [ "Miah", "Md Messal Monem", "" ], [ "Schnaithmann", "Ulie", "" ], [ "Raghuvanshi", "Arushi", "" ], [ "Son", "Youngseo", "" ] ]
Detecting dialogue breakdown in real time is critical for conversational AI systems, because it enables taking corrective action to successfully complete a task. In spoken dialog systems, this breakdown can be caused by a variety of unexpected situations including high levels of background noise, causing STT mistranscr...
2012.05093
Xiao Liu
Yuanwei Liu, Xiao Liu, Xinyu Gao, Xidong Mu, Xiangwei Zhou, Octavia A. Dobre, and H. Vincent Poor
Robotic Communications for 5G and Beyond: Challenges and Research Opportunities
7pages, 6figures
null
null
null
cs.RO cs.SY eess.SP eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The ongoing surge in applications of robotics brings both opportunities and challenges for the fifth-generation (5G) and beyond (B5G) of communication networks. This article focuses on 5G/B5G-enabled terrestrial robotic communications with an emphasis on distinct characteristics of such communications. Firstly, signa...
[ { "created": "Wed, 9 Dec 2020 14:51:05 GMT", "version": "v1" }, { "created": "Mon, 2 Aug 2021 12:02:48 GMT", "version": "v2" } ]
2021-08-03
[ [ "Liu", "Yuanwei", "" ], [ "Liu", "Xiao", "" ], [ "Gao", "Xinyu", "" ], [ "Mu", "Xidong", "" ], [ "Zhou", "Xiangwei", "" ], [ "Dobre", "Octavia A.", "" ], [ "Poor", "H. Vincent", "" ] ]
The ongoing surge in applications of robotics brings both opportunities and challenges for the fifth-generation (5G) and beyond (B5G) of communication networks. This article focuses on 5G/B5G-enabled terrestrial robotic communications with an emphasis on distinct characteristics of such communications. Firstly, signal ...
1803.01349
Sotirios Chatzis
Harris Partaourides and Sotirios P. Chatzis
Deep Network Regularization via Bayesian Inference of Synaptic Connectivity
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep neural networks (DNNs) often require good regularizers to generalize well. Currently, state-of-the-art DNN regularization techniques consist in randomly dropping units and/or connections on each iteration of the training algorithm. Dropout and DropConnect are characteristic examples of such regularizers, that ar...
[ { "created": "Sun, 4 Mar 2018 12:41:34 GMT", "version": "v1" } ]
2018-03-06
[ [ "Partaourides", "Harris", "" ], [ "Chatzis", "Sotirios P.", "" ] ]
Deep neural networks (DNNs) often require good regularizers to generalize well. Currently, state-of-the-art DNN regularization techniques consist in randomly dropping units and/or connections on each iteration of the training algorithm. Dropout and DropConnect are characteristic examples of such regularizers, that are ...
1505.04220
Omid Semiari
Omid Semiari, Walid Saad, Stefan Valentin, Mehdi Bennis, H. Vincent Poor
Context-Aware Small Cell Networks: How Social Metrics Improve Wireless Resource Allocation
Submitted to the IEEE Transaction on Wireless Communications
null
10.1109/TWC.2015.2444385
null
cs.IT cs.GT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, a novel approach for optimizing and managing resource allocation in wireless small cell networks (SCNs) with device-to-device (D2D) communication is proposed. The proposed approach allows to jointly exploit both the wireless and social context of wireless users for optimizing the overall allocation of ...
[ { "created": "Fri, 15 May 2015 23:36:03 GMT", "version": "v1" } ]
2016-01-05
[ [ "Semiari", "Omid", "" ], [ "Saad", "Walid", "" ], [ "Valentin", "Stefan", "" ], [ "Bennis", "Mehdi", "" ], [ "Poor", "H. Vincent", "" ] ]
In this paper, a novel approach for optimizing and managing resource allocation in wireless small cell networks (SCNs) with device-to-device (D2D) communication is proposed. The proposed approach allows to jointly exploit both the wireless and social context of wireless users for optimizing the overall allocation of re...
2111.03294
Zhaohong Wan
Zhaohong Wan and Xiaojun Wan
A Syntax-Guided Grammatical Error Correction Model with Dependency Tree Correction
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Grammatical Error Correction (GEC) is a task of detecting and correcting grammatical errors in sentences. Recently, neural machine translation systems have become popular approaches for this task. However, these methods lack the use of syntactic knowledge which plays an important role in the correction of grammatical...
[ { "created": "Fri, 5 Nov 2021 07:07:48 GMT", "version": "v1" } ]
2021-11-08
[ [ "Wan", "Zhaohong", "" ], [ "Wan", "Xiaojun", "" ] ]
Grammatical Error Correction (GEC) is a task of detecting and correcting grammatical errors in sentences. Recently, neural machine translation systems have become popular approaches for this task. However, these methods lack the use of syntactic knowledge which plays an important role in the correction of grammatical e...
2112.12303
Zhenguo Wu
Zhenguo Wu, Jiaqi Lv, Masashi Sugiyama
Learning with Proper Partial Labels
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Partial-label learning is a kind of weakly-supervised learning with inexact labels, where for each training example, we are given a set of candidate labels instead of only one true label. Recently, various approaches on partial-label learning have been proposed under different generation models of candidate label set...
[ { "created": "Thu, 23 Dec 2021 01:37:03 GMT", "version": "v1" }, { "created": "Sat, 27 Aug 2022 03:02:26 GMT", "version": "v2" } ]
2022-08-30
[ [ "Wu", "Zhenguo", "" ], [ "Lv", "Jiaqi", "" ], [ "Sugiyama", "Masashi", "" ] ]
Partial-label learning is a kind of weakly-supervised learning with inexact labels, where for each training example, we are given a set of candidate labels instead of only one true label. Recently, various approaches on partial-label learning have been proposed under different generation models of candidate label sets....
1809.03299
Jan K\v{r}et\'insk\'y
Pranav Ashok, Tom\'a\v{s} Br\'azdil, Jan K\v{r}et\'insk\'y and Ond\v{r}ej Sl\'ame\v{c}ka
Monte Carlo Tree Search for Verifying Reachability in Markov Decision Processes
null
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The maximum reachability probabilities in a Markov decision process can be computed using value iteration (VI). Recently, simulation-based heuristic extensions of VI have been introduced, such as bounded real-time dynamic programming (BRTDP), which often manage to avoid explicit analysis of the whole state space whil...
[ { "created": "Mon, 10 Sep 2018 13:31:02 GMT", "version": "v1" } ]
2018-09-11
[ [ "Ashok", "Pranav", "" ], [ "Brázdil", "Tomáš", "" ], [ "Křetínský", "Jan", "" ], [ "Slámečka", "Ondřej", "" ] ]
The maximum reachability probabilities in a Markov decision process can be computed using value iteration (VI). Recently, simulation-based heuristic extensions of VI have been introduced, such as bounded real-time dynamic programming (BRTDP), which often manage to avoid explicit analysis of the whole state space while ...
2403.05728
Matthew Gaughan
Matthew Gaughan, Kaylea Champion, Sohyeon Hwang
Engineering Formality and Software Risk in Debian Python Packages
Preprint of archival paper accepted for IEEE SANER 2024
null
null
null
cs.SE cs.CY
http://creativecommons.org/licenses/by-sa/4.0/
While free/libre and open source software (FLOSS) is critical to global computing infrastructure, the maintenance of widely-adopted FLOSS packages is dependent on volunteer developers who select their own tasks. Risk of failure due to the misalignment of engineering supply and demand -- known as underproduction -- ha...
[ { "created": "Fri, 8 Mar 2024 23:44:01 GMT", "version": "v1" }, { "created": "Fri, 26 Apr 2024 16:49:11 GMT", "version": "v2" } ]
2024-04-29
[ [ "Gaughan", "Matthew", "" ], [ "Champion", "Kaylea", "" ], [ "Hwang", "Sohyeon", "" ] ]
While free/libre and open source software (FLOSS) is critical to global computing infrastructure, the maintenance of widely-adopted FLOSS packages is dependent on volunteer developers who select their own tasks. Risk of failure due to the misalignment of engineering supply and demand -- known as underproduction -- has ...
2403.11806
Yiping Zuo
Yiping Zuo, Jiajia Guo, Biyun Sheng, Chen Dai, Fu Xiao, and Shi Jin
Fluid Antenna for Mobile Edge Computing
null
null
null
null
cs.IT eess.SP math.IT
http://creativecommons.org/licenses/by/4.0/
In the evolving environment of mobile edge computing (MEC), optimizing system performance to meet the growing demand for low-latency computing services is a top priority. Integrating fluidic antenna (FA) technology into MEC networks provides a new approach to address this challenge. This letter proposes an FA-enabled...
[ { "created": "Mon, 18 Mar 2024 14:04:43 GMT", "version": "v1" } ]
2024-03-19
[ [ "Zuo", "Yiping", "" ], [ "Guo", "Jiajia", "" ], [ "Sheng", "Biyun", "" ], [ "Dai", "Chen", "" ], [ "Xiao", "Fu", "" ], [ "Jin", "Shi", "" ] ]
In the evolving environment of mobile edge computing (MEC), optimizing system performance to meet the growing demand for low-latency computing services is a top priority. Integrating fluidic antenna (FA) technology into MEC networks provides a new approach to address this challenge. This letter proposes an FA-enabled M...
1911.07805
Shokooh Taghian
Shokooh Taghian, Mohammad H. Nadimi-Shahraki
Binary Sine Cosine Algorithms for Feature Selection from Medical Data
null
null
10.5121/acij.2019.10501
null
cs.LG cs.NE stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A well-constructed classification model highly depends on input feature subsets from a dataset, which may contain redundant, irrelevant, or noisy features. This challenge can be worse while dealing with medical datasets. The main aim of feature selection as a pre-processing task is to eliminate these features and sel...
[ { "created": "Fri, 15 Nov 2019 12:57:09 GMT", "version": "v1" } ]
2019-11-19
[ [ "Taghian", "Shokooh", "" ], [ "Nadimi-Shahraki", "Mohammad H.", "" ] ]
A well-constructed classification model highly depends on input feature subsets from a dataset, which may contain redundant, irrelevant, or noisy features. This challenge can be worse while dealing with medical datasets. The main aim of feature selection as a pre-processing task is to eliminate these features and selec...
1907.04589
Shaodi You
Tianxiu Yu, Shijie Zhang, Cong Lin, Shaodi You, Jian Wu, Jiawan Zhang, Xiaohong Ding and Huili An
Dunhuang Grottoes Painting Dataset and Benchmark
8 pages, 1 column
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This document introduces the background and the usage of the Dunhuang Grottoes Dataset and the benchmark. The documentation first starts with the background of the Dunhuang Grotto, which is widely recognised as an priceless heritage. Given that digital method is the modern trend for heritage protection and restoratio...
[ { "created": "Wed, 10 Jul 2019 09:35:08 GMT", "version": "v1" }, { "created": "Thu, 11 Jul 2019 06:46:18 GMT", "version": "v2" } ]
2019-07-12
[ [ "Yu", "Tianxiu", "" ], [ "Zhang", "Shijie", "" ], [ "Lin", "Cong", "" ], [ "You", "Shaodi", "" ], [ "Wu", "Jian", "" ], [ "Zhang", "Jiawan", "" ], [ "Ding", "Xiaohong", "" ], [ "An", "Huili", ...
This document introduces the background and the usage of the Dunhuang Grottoes Dataset and the benchmark. The documentation first starts with the background of the Dunhuang Grotto, which is widely recognised as an priceless heritage. Given that digital method is the modern trend for heritage protection and restoration....
1208.3942
Heiko Vogler
Manfred Droste, Heiko Vogler
The Chomsky-Sch\"utzenberger Theorem for Quantitative Context-Free Languages
This new version combines a conference and a journal paper of the authors on the same topic, see references [15,16], and supplements them by a few additional examples and more detailed proofs. It also corrects a mistake in Theorem 7.7 of the first arxiv version (the property sequential was missing)
null
null
null
cs.FL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Weighted automata model quantitative aspects of systems like the consumption of resources during executions. Traditionally, the weights are assumed to form the algebraic structure of a semiring, but recently also other weight computations like average have been considered. Here, we investigate quantitative context-fr...
[ { "created": "Mon, 20 Aug 2012 08:47:56 GMT", "version": "v1" }, { "created": "Thu, 3 Mar 2016 13:05:06 GMT", "version": "v2" } ]
2016-03-04
[ [ "Droste", "Manfred", "" ], [ "Vogler", "Heiko", "" ] ]
Weighted automata model quantitative aspects of systems like the consumption of resources during executions. Traditionally, the weights are assumed to form the algebraic structure of a semiring, but recently also other weight computations like average have been considered. Here, we investigate quantitative context-free...
1802.07346
Nisar Ahmed
Michael Ouimet, David Iglesias, Nisar Ahmed, Sonia Martinez
Cooperative Robot Localization Using Event-triggered Estimation
Revised submission in review with AIAA Journal of Aerospace Information Systems (JAIS), submitted February 17, 2018
null
null
null
cs.RO cs.SY eess.SP stat.AP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper describes a novel communication-spare cooperative localization algorithm for a team of mobile unmanned robotic vehicles. Exploiting an event-based estimation paradigm, robots only send measurements to neighbors when the expected innovation for state estimation is high. Since agents know the event-triggerin...
[ { "created": "Tue, 20 Feb 2018 21:47:34 GMT", "version": "v1" } ]
2018-02-22
[ [ "Ouimet", "Michael", "" ], [ "Iglesias", "David", "" ], [ "Ahmed", "Nisar", "" ], [ "Martinez", "Sonia", "" ] ]
This paper describes a novel communication-spare cooperative localization algorithm for a team of mobile unmanned robotic vehicles. Exploiting an event-based estimation paradigm, robots only send measurements to neighbors when the expected innovation for state estimation is high. Since agents know the event-triggering ...
2201.07591
Antonio Albanese
Antonio Albanese and Guillermo Encinas-Lago and Vincenzo Sciancalepore and Xavier Costa-P\'erez and Dinh-Thuy Phan-Huy and St\'ephane Ros
RIS-Aware Indoor Network Planning: The Rennes Railway Station Case
Accepted for presentation at IEEE ICC 2022
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Future generations of wireless networks will offer newfangled performance via unprecedented solutions: the metasurface innovation will drive such a revolution by posing control onto the surrounding propagation environment, always portrayed as a tamper-proof black-box. The RIS technology, envisioned as the discrete ve...
[ { "created": "Wed, 19 Jan 2022 13:29:26 GMT", "version": "v1" }, { "created": "Wed, 23 Mar 2022 13:56:50 GMT", "version": "v2" } ]
2022-03-24
[ [ "Albanese", "Antonio", "" ], [ "Encinas-Lago", "Guillermo", "" ], [ "Sciancalepore", "Vincenzo", "" ], [ "Costa-Pérez", "Xavier", "" ], [ "Phan-Huy", "Dinh-Thuy", "" ], [ "Ros", "Stéphane", "" ] ]
Future generations of wireless networks will offer newfangled performance via unprecedented solutions: the metasurface innovation will drive such a revolution by posing control onto the surrounding propagation environment, always portrayed as a tamper-proof black-box. The RIS technology, envisioned as the discrete vers...
1809.10410
Po-Yu Liu
Po-Yu Liu, Edmund Y. Lam
Image Reconstruction Using Deep Learning
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper proposes a deep learning architecture that attains statistically significant improvements over traditional algorithms in Poisson image denoising espically when the noise is strong. Poisson noise commonly occurs in low-light and photon- limited settings, where the noise can be most accurately modeled by the...
[ { "created": "Thu, 27 Sep 2018 08:58:38 GMT", "version": "v1" } ]
2018-09-28
[ [ "Liu", "Po-Yu", "" ], [ "Lam", "Edmund Y.", "" ] ]
This paper proposes a deep learning architecture that attains statistically significant improvements over traditional algorithms in Poisson image denoising espically when the noise is strong. Poisson noise commonly occurs in low-light and photon- limited settings, where the noise can be most accurately modeled by the P...
2101.08596
Neil Zeghidour
Neil Zeghidour, Olivier Teboul, F\'elix de Chaumont Quitry, Marco Tagliasacchi
LEAF: A Learnable Frontend for Audio Classification
Accepted at ICLR 2021
null
null
null
cs.SD cs.LG eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Mel-filterbanks are fixed, engineered audio features which emulate human perception and have been used through the history of audio understanding up to today. However, their undeniable qualities are counterbalanced by the fundamental limitations of handmade representations. In this work we show that we can train a si...
[ { "created": "Thu, 21 Jan 2021 13:25:58 GMT", "version": "v1" } ]
2021-01-22
[ [ "Zeghidour", "Neil", "" ], [ "Teboul", "Olivier", "" ], [ "Quitry", "Félix de Chaumont", "" ], [ "Tagliasacchi", "Marco", "" ] ]
Mel-filterbanks are fixed, engineered audio features which emulate human perception and have been used through the history of audio understanding up to today. However, their undeniable qualities are counterbalanced by the fundamental limitations of handmade representations. In this work we show that we can train a sing...
2211.17054
Antun Skuric
Antun Skuric (AUCTUS), Vincent Padois (AUCTUS), David Daney (AUCTUS, IMS)
Approximating robot reachable space using convex polytopes
null
15th International Workshop on Human-Friendly Robotics, Sep 2022, Delft, Netherlands
null
null
cs.CG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents an approach for approximating the reachable space of robotic manipulators based on convex polytopes. The proposed approach predicts the reachable space over a given time horizon based on the robot's actuation limits and kinematic constraints. The approach is furthermore extended to integrate the r...
[ { "created": "Wed, 30 Nov 2022 15:00:52 GMT", "version": "v1" } ]
2022-12-01
[ [ "Skuric", "Antun", "", "AUCTUS" ], [ "Padois", "Vincent", "", "AUCTUS" ], [ "Daney", "David", "", "AUCTUS,\n IMS" ] ]
This paper presents an approach for approximating the reachable space of robotic manipulators based on convex polytopes. The proposed approach predicts the reachable space over a given time horizon based on the robot's actuation limits and kinematic constraints. The approach is furthermore extended to integrate the rob...