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2103.10206
Buyu Li
Buyu Li, Yongchi Zhao, Zhelun Shi, Lu Sheng
DanceFormer: Music Conditioned 3D Dance Generation with Parametric Motion Transformer
This is the version accepted by AAAI-22
null
null
null
cs.AI cs.CV
http://creativecommons.org/licenses/by/4.0/
Generating 3D dances from music is an emerged research task that benefits a lot of applications in vision and graphics. Previous works treat this task as sequence generation, however, it is challenging to render a music-aligned long-term sequence with high kinematic complexity and coherent movements. In this paper, w...
[ { "created": "Thu, 18 Mar 2021 12:17:38 GMT", "version": "v1" }, { "created": "Sat, 20 Mar 2021 07:28:26 GMT", "version": "v2" }, { "created": "Thu, 25 Mar 2021 09:27:22 GMT", "version": "v3" }, { "created": "Wed, 8 Dec 2021 12:15:36 GMT", "version": "v4" }, { "cr...
2023-07-28
[ [ "Li", "Buyu", "" ], [ "Zhao", "Yongchi", "" ], [ "Shi", "Zhelun", "" ], [ "Sheng", "Lu", "" ] ]
Generating 3D dances from music is an emerged research task that benefits a lot of applications in vision and graphics. Previous works treat this task as sequence generation, however, it is challenging to render a music-aligned long-term sequence with high kinematic complexity and coherent movements. In this paper, we ...
2103.14074
Cesar Augusto Ipanaque Zapata Prof.
Cesar A. Ipanaque Zapata and Jes\'us Gonz\'alez
Parametrised collision-free optimal motion planning algorithms in Euclidean spaces
16 pages. Final version. To appear in Morfismos
null
null
null
cs.RO math.AT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We describe parametrised motion planning algorithms for systems controlling objects represented by points that move without collisions in an even dimensional Euclidean space and in the presence of up to three obstacles with \emph{a priori} unknown positions. Our algorithms are optimal in the sense that the parametris...
[ { "created": "Thu, 25 Mar 2021 18:51:04 GMT", "version": "v1" }, { "created": "Sat, 24 Jun 2023 05:56:47 GMT", "version": "v2" } ]
2023-06-27
[ [ "Zapata", "Cesar A. Ipanaque", "" ], [ "González", "Jesús", "" ] ]
We describe parametrised motion planning algorithms for systems controlling objects represented by points that move without collisions in an even dimensional Euclidean space and in the presence of up to three obstacles with \emph{a priori} unknown positions. Our algorithms are optimal in the sense that the parametrised...
1809.10804
Ivan Girardi
Ivan Girardi, Pengfei Ji, An-phi Nguyen, Nora Hollenstein, Adam Ivankay, Lorenz Kuhn, Chiara Marchiori and Ce Zhang
Patient Risk Assessment and Warning Symptom Detection Using Deep Attention-Based Neural Networks
10 pages, 2 figures, EMNLP workshop LOUHI 2018
null
null
null
cs.CL cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present an operational component of a real-world patient triage system. Given a specific patient presentation, the system is able to assess the level of medical urgency and issue the most appropriate recommendation in terms of best point of care and time to treat. We use an attention-based convolutional neural net...
[ { "created": "Fri, 28 Sep 2018 00:14:10 GMT", "version": "v1" } ]
2018-10-01
[ [ "Girardi", "Ivan", "" ], [ "Ji", "Pengfei", "" ], [ "Nguyen", "An-phi", "" ], [ "Hollenstein", "Nora", "" ], [ "Ivankay", "Adam", "" ], [ "Kuhn", "Lorenz", "" ], [ "Marchiori", "Chiara", "" ], [ "Zh...
We present an operational component of a real-world patient triage system. Given a specific patient presentation, the system is able to assess the level of medical urgency and issue the most appropriate recommendation in terms of best point of care and time to treat. We use an attention-based convolutional neural netwo...
1911.07701
Christian Tiefenau
Christian Tiefenau, Maximilian H\"aring, Eva Gerlitz, Emanuel von Zezschwitz
Making Privacy Graspable: Can we Nudge Users to use Privacy Enhancing Techniques?
SOUPS 2019 Poster Session
null
null
null
cs.HC
http://creativecommons.org/publicdomain/zero/1.0/
Smart speakers are gaining popularity. However, such devices can put the user's privacy at risk whenever hot-words are misinterpreted and voice data is recorded without the user's consent. To mitigate such risks, smart speakers provide privacy control mechanisms like the build-in mute button. Unfortunately, previous ...
[ { "created": "Mon, 18 Nov 2019 15:30:08 GMT", "version": "v1" } ]
2019-11-19
[ [ "Tiefenau", "Christian", "" ], [ "Häring", "Maximilian", "" ], [ "Gerlitz", "Eva", "" ], [ "von Zezschwitz", "Emanuel", "" ] ]
Smart speakers are gaining popularity. However, such devices can put the user's privacy at risk whenever hot-words are misinterpreted and voice data is recorded without the user's consent. To mitigate such risks, smart speakers provide privacy control mechanisms like the build-in mute button. Unfortunately, previous wo...
2112.09131
Ali Athar
Ali Athar, Jonathon Luiten, Alexander Hermans, Deva Ramanan, Bastian Leibe
HODOR: High-level Object Descriptors for Object Re-segmentation in Video Learned from Static Images
null
null
10.1109/CVPR52688.2022.00303
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Existing state-of-the-art methods for Video Object Segmentation (VOS) learn low-level pixel-to-pixel correspondences between frames to propagate object masks across video. This requires a large amount of densely annotated video data, which is costly to annotate, and largely redundant since frames within a video are h...
[ { "created": "Thu, 16 Dec 2021 18:59:53 GMT", "version": "v1" }, { "created": "Fri, 15 Jul 2022 13:15:16 GMT", "version": "v2" } ]
2022-11-23
[ [ "Athar", "Ali", "" ], [ "Luiten", "Jonathon", "" ], [ "Hermans", "Alexander", "" ], [ "Ramanan", "Deva", "" ], [ "Leibe", "Bastian", "" ] ]
Existing state-of-the-art methods for Video Object Segmentation (VOS) learn low-level pixel-to-pixel correspondences between frames to propagate object masks across video. This requires a large amount of densely annotated video data, which is costly to annotate, and largely redundant since frames within a video are hig...
1310.7610
Adwaitvedant Mathkar
Adwaitvedant S. Mathkar and Vivek S. Borkar
Distributed Reinforcement Learning via Gossip
18 pages, 3 figures, Submitted to Discrete Event Dynamic Systems
null
null
null
cs.DC cs.AI math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the classical TD(0) algorithm implemented on a network of agents wherein the agents also incorporate the updates received from neighboring agents using a gossip-like mechanism. The combined scheme is shown to converge for both discounted and average cost problems.
[ { "created": "Mon, 28 Oct 2013 20:23:57 GMT", "version": "v1" } ]
2013-10-30
[ [ "Mathkar", "Adwaitvedant S.", "" ], [ "Borkar", "Vivek S.", "" ] ]
We consider the classical TD(0) algorithm implemented on a network of agents wherein the agents also incorporate the updates received from neighboring agents using a gossip-like mechanism. The combined scheme is shown to converge for both discounted and average cost problems.
1411.5433
Alexander Semenov
Alexander Semenov, Oleg Zaikin and Ilya Otpuschennikov
Using Volunteer Computing for Mounting SAT-based Cryptographic Attacks
null
null
null
null
cs.DC cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we describe the volunteer computing project SAT@home, developed and maintained by us. This project is aimed at solving hard instances of the Boolean satisfiability problem (SAT). We believe that this project can be a useful tool for computational study of inversion problems of some cryptographic functio...
[ { "created": "Thu, 20 Nov 2014 03:42:13 GMT", "version": "v1" } ]
2014-11-21
[ [ "Semenov", "Alexander", "" ], [ "Zaikin", "Oleg", "" ], [ "Otpuschennikov", "Ilya", "" ] ]
In this paper we describe the volunteer computing project SAT@home, developed and maintained by us. This project is aimed at solving hard instances of the Boolean satisfiability problem (SAT). We believe that this project can be a useful tool for computational study of inversion problems of some cryptographic functions...
1911.05347
Nandana Rajatheva
Nora Boulaioune, Nandana Rajatheva, Matti Latva-aho
High Reliability Downlink MU-MIMO: New OSTBC Approach and Superposition Modulated Side Information
Submitted to IEEE VTC 2020 Spring Conference
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, a proposal to improve the reliability of a downlink multiuser (MU) MIMO transmission scheme is investigated with the use of a new approach in orthogonal space-time block codes (OSTBC) and network coding with a superposition modulated system and side information. With the new encoded OSTBC approach, div...
[ { "created": "Wed, 13 Nov 2019 08:32:03 GMT", "version": "v1" }, { "created": "Mon, 20 Jan 2020 21:51:04 GMT", "version": "v2" } ]
2020-01-22
[ [ "Boulaioune", "Nora", "" ], [ "Rajatheva", "Nandana", "" ], [ "Latva-aho", "Matti", "" ] ]
In this paper, a proposal to improve the reliability of a downlink multiuser (MU) MIMO transmission scheme is investigated with the use of a new approach in orthogonal space-time block codes (OSTBC) and network coding with a superposition modulated system and side information. With the new encoded OSTBC approach, diver...
2304.11609
Cilin Yan
Cilin Yan, Haochen Wang, Jie Liu, Xiaolong Jiang, Yao Hu, Xu Tang, Guoliang Kang, Efstratios Gavves
PiClick: Picking the desired mask from multiple candidates in click-based interactive segmentation
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Click-based interactive segmentation aims to generate target masks via human clicking, which facilitates efficient pixel-level annotation and image editing. In such a task, target ambiguity remains a problem hindering the accuracy and efficiency of segmentation. That is, in scenes with rich context, one click may cor...
[ { "created": "Sun, 23 Apr 2023 10:46:16 GMT", "version": "v1" }, { "created": "Sat, 19 Aug 2023 02:30:56 GMT", "version": "v2" }, { "created": "Mon, 28 Aug 2023 13:26:52 GMT", "version": "v3" }, { "created": "Mon, 29 Jan 2024 14:33:02 GMT", "version": "v4" }, { "c...
2024-06-18
[ [ "Yan", "Cilin", "" ], [ "Wang", "Haochen", "" ], [ "Liu", "Jie", "" ], [ "Jiang", "Xiaolong", "" ], [ "Hu", "Yao", "" ], [ "Tang", "Xu", "" ], [ "Kang", "Guoliang", "" ], [ "Gavves", "Efstratios...
Click-based interactive segmentation aims to generate target masks via human clicking, which facilitates efficient pixel-level annotation and image editing. In such a task, target ambiguity remains a problem hindering the accuracy and efficiency of segmentation. That is, in scenes with rich context, one click may corre...
2311.15698
Federico Galatolo
Federico A. Galatolo, Mario G.C.A. Cimino
Cerbero-7B: A Leap Forward in Language-Specific LLMs Through Enhanced Chat Corpus Generation and Evaluation
null
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This study introduces a novel approach for generating high-quality, language-specific chat corpora using a self-chat mechanism. We combine a generator LLM for creating new samples and an embedder LLM to ensure diversity. A new Masked Language Modelling (MLM) model-based quality assessment metric is proposed for evalu...
[ { "created": "Mon, 27 Nov 2023 10:34:55 GMT", "version": "v1" } ]
2023-11-28
[ [ "Galatolo", "Federico A.", "" ], [ "Cimino", "Mario G. C. A.", "" ] ]
This study introduces a novel approach for generating high-quality, language-specific chat corpora using a self-chat mechanism. We combine a generator LLM for creating new samples and an embedder LLM to ensure diversity. A new Masked Language Modelling (MLM) model-based quality assessment metric is proposed for evaluat...
2009.14073
Alessandro Brusaferri Eng.
Alessandro Brusaferri and Matteo Matteucci and Stefano Spinelli
Estimation of Switched Markov Polynomial NARX models
7 pages, 2 figures
null
null
null
cs.LG stat.ML
http://creativecommons.org/licenses/by/4.0/
This work targets the identification of a class of models for hybrid dynamical systems characterized by nonlinear autoregressive exogenous (NARX) components, with finite-dimensional polynomial expansions, and by a Markovian switching mechanism. The estimation of the model parameters is performed under a probabilistic...
[ { "created": "Tue, 29 Sep 2020 15:00:47 GMT", "version": "v1" } ]
2020-09-30
[ [ "Brusaferri", "Alessandro", "" ], [ "Matteucci", "Matteo", "" ], [ "Spinelli", "Stefano", "" ] ]
This work targets the identification of a class of models for hybrid dynamical systems characterized by nonlinear autoregressive exogenous (NARX) components, with finite-dimensional polynomial expansions, and by a Markovian switching mechanism. The estimation of the model parameters is performed under a probabilistic f...
2009.03397
Jason Angel
Jason Angel, Segun Taofeek Aroyehun, Antonio Tamayo and Alexander Gelbukh
NLP-CIC at SemEval-2020 Task 9: Analysing sentiment in code-switching language using a simple deep-learning classifier
Accepted at SemEval-2020, COLING
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
Code-switching is a phenomenon in which two or more languages are used in the same message. Nowadays, it is quite common to find messages with languages mixed in social media. This phenomenon presents a challenge for sentiment analysis. In this paper, we use a standard convolutional neural network model to predict th...
[ { "created": "Mon, 7 Sep 2020 19:57:09 GMT", "version": "v1" } ]
2020-09-09
[ [ "Angel", "Jason", "" ], [ "Aroyehun", "Segun Taofeek", "" ], [ "Tamayo", "Antonio", "" ], [ "Gelbukh", "Alexander", "" ] ]
Code-switching is a phenomenon in which two or more languages are used in the same message. Nowadays, it is quite common to find messages with languages mixed in social media. This phenomenon presents a challenge for sentiment analysis. In this paper, we use a standard convolutional neural network model to predict the ...
2102.02841
Costanza Conforti
Stephanie Hirmer, Alycia Leonard, Josephine Tumwesige, Costanza Conforti
Building Representative Corpora from Illiterate Communities: A Review of Challenges and Mitigation Strategies for Developing Countries
Accepted at EACL 2021
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Most well-established data collection methods currently adopted in NLP depend on the assumption of speaker literacy. Consequently, the collected corpora largely fail to represent swathes of the global population, which tend to be some of the most vulnerable and marginalised people in society, and often live in rural ...
[ { "created": "Thu, 4 Feb 2021 19:20:35 GMT", "version": "v1" } ]
2021-02-08
[ [ "Hirmer", "Stephanie", "" ], [ "Leonard", "Alycia", "" ], [ "Tumwesige", "Josephine", "" ], [ "Conforti", "Costanza", "" ] ]
Most well-established data collection methods currently adopted in NLP depend on the assumption of speaker literacy. Consequently, the collected corpora largely fail to represent swathes of the global population, which tend to be some of the most vulnerable and marginalised people in society, and often live in rural de...
1906.08138
Julian Hammer
Julian Hornich, Julian Hammer, Georg Hager, Thomas Gruber, Gerhard Wellein
Collecting and Presenting Reproducible Intranode Stencil Performance: INSPECT
null
null
10.14529/jsfi190301
null
cs.PF
http://creativecommons.org/licenses/by-nc-sa/4.0/
Stencil algorithms have been receiving considerable interest in HPC research for decades. The techniques used to approach multi-core stencil performance modeling and engineering span basic runtime measurements, elaborate performance models, detailed hardware counter analysis, and thorough scaling behavior evaluation....
[ { "created": "Wed, 19 Jun 2019 15:08:06 GMT", "version": "v1" }, { "created": "Tue, 2 Jul 2019 10:08:33 GMT", "version": "v2" } ]
2020-06-25
[ [ "Hornich", "Julian", "" ], [ "Hammer", "Julian", "" ], [ "Hager", "Georg", "" ], [ "Gruber", "Thomas", "" ], [ "Wellein", "Gerhard", "" ] ]
Stencil algorithms have been receiving considerable interest in HPC research for decades. The techniques used to approach multi-core stencil performance modeling and engineering span basic runtime measurements, elaborate performance models, detailed hardware counter analysis, and thorough scaling behavior evaluation. D...
2402.07577
Thong Nguyen
Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy T Nguyen, See-Kiong Ng, Anh Tuan Luu
Topic Modeling as Multi-Objective Contrastive Optimization
Accepted at ICLR 2024 (poster)
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Recent representation learning approaches enhance neural topic models by optimizing the weighted linear combination of the evidence lower bound (ELBO) of the log-likelihood and the contrastive learning objective that contrasts pairs of input documents. However, document-level contrastive learning might capture low-le...
[ { "created": "Mon, 12 Feb 2024 11:18:32 GMT", "version": "v1" }, { "created": "Sat, 9 Mar 2024 05:35:21 GMT", "version": "v2" } ]
2024-03-12
[ [ "Nguyen", "Thong", "" ], [ "Wu", "Xiaobao", "" ], [ "Dong", "Xinshuai", "" ], [ "Nguyen", "Cong-Duy T", "" ], [ "Ng", "See-Kiong", "" ], [ "Luu", "Anh Tuan", "" ] ]
Recent representation learning approaches enhance neural topic models by optimizing the weighted linear combination of the evidence lower bound (ELBO) of the log-likelihood and the contrastive learning objective that contrasts pairs of input documents. However, document-level contrastive learning might capture low-leve...
1411.4116
Jack Cheng J
Jianpeng Cheng, Dimitri Kartsaklis, Edward Grefenstette
Investigating the Role of Prior Disambiguation in Deep-learning Compositional Models of Meaning
NIPS 2014
null
null
null
cs.CL cs.LG cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper aims to explore the effect of prior disambiguation on neural network- based compositional models, with the hope that better semantic representations for text compounds can be produced. We disambiguate the input word vectors before they are fed into a compositional deep net. A series of evaluations shows th...
[ { "created": "Sat, 15 Nov 2014 06:32:49 GMT", "version": "v1" } ]
2014-11-18
[ [ "Cheng", "Jianpeng", "" ], [ "Kartsaklis", "Dimitri", "" ], [ "Grefenstette", "Edward", "" ] ]
This paper aims to explore the effect of prior disambiguation on neural network- based compositional models, with the hope that better semantic representations for text compounds can be produced. We disambiguate the input word vectors before they are fed into a compositional deep net. A series of evaluations shows the ...
2108.01441
Quanye Jia
Quanye Jia, Rui Liu and Jianying Lin
Using Query Expansion in Manifold Ranking for Query-Oriented Multi-Document Summarization
https://github.com/homealim2012/QE_Mani_Summary
CCL2021
10.1007/978-3-030-84186-7_7
null
cs.IR cs.AI cs.LG
http://creativecommons.org/licenses/by-sa/4.0/
Manifold ranking has been successfully applied in query-oriented multi-document summarization. It not only makes use of the relationships among the sentences, but also the relationships between the given query and the sentences. However, the information of original query is often insufficient. So we present a query e...
[ { "created": "Sat, 31 Jul 2021 02:20:44 GMT", "version": "v1" } ]
2021-08-30
[ [ "Jia", "Quanye", "" ], [ "Liu", "Rui", "" ], [ "Lin", "Jianying", "" ] ]
Manifold ranking has been successfully applied in query-oriented multi-document summarization. It not only makes use of the relationships among the sentences, but also the relationships between the given query and the sentences. However, the information of original query is often insufficient. So we present a query exp...
2012.05258
Siyuan Qiao
Siyuan Qiao, Yukun Zhu, Hartwig Adam, Alan Yuille, Liang-Chieh Chen
ViP-DeepLab: Learning Visual Perception with Depth-aware Video Panoptic Segmentation
Video: https://youtu.be/XR4HFiwwao0 GitHub: https://github.com/joe-siyuan-qiao/ViP-DeepLab
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we present ViP-DeepLab, a unified model attempting to tackle the long-standing and challenging inverse projection problem in vision, which we model as restoring the point clouds from perspective image sequences while providing each point with instance-level semantic interpretations. Solving this proble...
[ { "created": "Wed, 9 Dec 2020 19:00:35 GMT", "version": "v1" } ]
2020-12-11
[ [ "Qiao", "Siyuan", "" ], [ "Zhu", "Yukun", "" ], [ "Adam", "Hartwig", "" ], [ "Yuille", "Alan", "" ], [ "Chen", "Liang-Chieh", "" ] ]
In this paper, we present ViP-DeepLab, a unified model attempting to tackle the long-standing and challenging inverse projection problem in vision, which we model as restoring the point clouds from perspective image sequences while providing each point with instance-level semantic interpretations. Solving this problem ...
cs/0106013
Viacheslav Wolfengagen
Larissa Ismailova
The Set of Equations to Evaluate Objects
5 pages
Proceedings of the 3-rd International Workshop on Computer Science and Information Technologies CSIT'2001, Ufa, Yangantau, Ruissia
null
null
cs.LO cs.PL cs.SC
null
The notion of an equational shell is studied to involve the objects and their environment. Appropriate methods are studied as valid embeddings of refined objects. The refinement process determines the linkages between the variety of possible representations giving rise to variants of computations. The case study is e...
[ { "created": "Fri, 8 Jun 2001 09:28:46 GMT", "version": "v1" } ]
2007-05-23
[ [ "Ismailova", "Larissa", "" ] ]
The notion of an equational shell is studied to involve the objects and their environment. Appropriate methods are studied as valid embeddings of refined objects. The refinement process determines the linkages between the variety of possible representations giving rise to variants of computations. The case study is equ...
1812.00583
Xiaobo Zhou
Xiaobo Zhou, Shihao Yan, Jinsong Hu, Jiande Sun, Jun Li, and Feng Shu
Joint Optimization of a UAV's Trajectory and Transmit Power for Covert Communications
null
null
10.1109/TSP.2019.2928949
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This work considers covert communications in the context of unmanned aerial vehicle (UAV) networks, aiming to hide a UAV for transmitting critical information out of a scenario that is monitored and where communication is not allowed. Specifically, the UAV as a transmitter intends to transmit information to a legitim...
[ { "created": "Mon, 3 Dec 2018 07:39:54 GMT", "version": "v1" }, { "created": "Tue, 2 Jul 2019 06:22:02 GMT", "version": "v2" } ]
2019-09-04
[ [ "Zhou", "Xiaobo", "" ], [ "Yan", "Shihao", "" ], [ "Hu", "Jinsong", "" ], [ "Sun", "Jiande", "" ], [ "Li", "Jun", "" ], [ "Shu", "Feng", "" ] ]
This work considers covert communications in the context of unmanned aerial vehicle (UAV) networks, aiming to hide a UAV for transmitting critical information out of a scenario that is monitored and where communication is not allowed. Specifically, the UAV as a transmitter intends to transmit information to a legitimat...
1708.05849
Nicolas Markey
Patrick Gardy, Patricia Bouyer, Nicolas Markey
Dependences in Strategy Logic
null
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Strategy Logic (SL) is a very expressive logic for specifying and verifying properties of multi-agent systems: in SL, one can quantify over strategies, assign them to agents, and express properties of the resulting plays. Such a powerful framework has two drawbacks: first, model checking SL has non-elementary complex...
[ { "created": "Sat, 19 Aug 2017 14:10:22 GMT", "version": "v1" } ]
2017-08-22
[ [ "Gardy", "Patrick", "" ], [ "Bouyer", "Patricia", "" ], [ "Markey", "Nicolas", "" ] ]
Strategy Logic (SL) is a very expressive logic for specifying and verifying properties of multi-agent systems: in SL, one can quantify over strategies, assign them to agents, and express properties of the resulting plays. Such a powerful framework has two drawbacks: first, model checking SL has non-elementary complexit...
1202.3721
Phan H. Giang
Phan H. Giang
Dynamic consistency and decision making under vacuous belief
null
null
null
UAI-P-2011-PG-230-237
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The ideas about decision making under ignorance in economics are combined with the ideas about uncertainty representation in computer science. The combination sheds new light on the question of how artificial agents can act in a dynamically consistent manner. The notion of sequential consistency is formalized by adap...
[ { "created": "Tue, 14 Feb 2012 16:41:17 GMT", "version": "v1" } ]
2012-02-20
[ [ "Giang", "Phan H.", "" ] ]
The ideas about decision making under ignorance in economics are combined with the ideas about uncertainty representation in computer science. The combination sheds new light on the question of how artificial agents can act in a dynamically consistent manner. The notion of sequential consistency is formalized by adapti...
2307.02975
Mattia Giovanni Campana
Mattia Giovanni Campana, Franca Delmastro, Elena Pagani
Transfer Learning for the Efficient Detection of COVID-19 from Smartphone Audio Data
null
Pervasive and Mobile Computing, Volume 89, 2023
10.1016/j.pmcj.2023.101754
null
cs.LG cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Disease detection from smartphone data represents an open research challenge in mobile health (m-health) systems. COVID-19 and its respiratory symptoms are an important case study in this area and their early detection is a potential real instrument to counteract the pandemic situation. The efficacy of this solution ...
[ { "created": "Thu, 6 Jul 2023 13:19:27 GMT", "version": "v1" } ]
2023-07-07
[ [ "Campana", "Mattia Giovanni", "" ], [ "Delmastro", "Franca", "" ], [ "Pagani", "Elena", "" ] ]
Disease detection from smartphone data represents an open research challenge in mobile health (m-health) systems. COVID-19 and its respiratory symptoms are an important case study in this area and their early detection is a potential real instrument to counteract the pandemic situation. The efficacy of this solution ma...
0908.3715
Moustafa Youssef
Moustafa Youssef, Adel Youssef, and Mohamed Younis
Overlapping Multi-hop Clustering for Wireless Sensor Networks
null
IEEE TPDS 2009
10.1109/TPDS.2009.32
WINC-TR-1001
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Clustering is a standard approach for achieving efficient and scalable performance in wireless sensor networks. Traditionally, clustering algorithms aim at generating a number of disjoint clusters that satisfy some criteria. In this paper, we formulate a novel clustering problem that aims at generating overlapping mu...
[ { "created": "Wed, 26 Aug 2009 01:43:15 GMT", "version": "v1" } ]
2013-04-09
[ [ "Youssef", "Moustafa", "" ], [ "Youssef", "Adel", "" ], [ "Younis", "Mohamed", "" ] ]
Clustering is a standard approach for achieving efficient and scalable performance in wireless sensor networks. Traditionally, clustering algorithms aim at generating a number of disjoint clusters that satisfy some criteria. In this paper, we formulate a novel clustering problem that aims at generating overlapping mult...
2303.16009
Parag Khanna
Parag Khanna, M{\aa}rten Bj\"orkman and Christian Smith
Data-driven Grip Force Variation in Robot-Human Handovers
Contributed to "Advances in Close Proximity Human-Robot Collaboration" Workshop in 2022 IEEE-RAS International Conference on Humanoid Robots (Humanoids 2022)
null
null
null
cs.RO cs.HC
http://creativecommons.org/licenses/by/4.0/
Handovers frequently occur in our social environments, making it imperative for a collaborative robotic system to master the skill of handover. In this work, we aim to investigate the relationship between the grip force variation for a human giver and the sensed interaction force-torque in human-human handovers, util...
[ { "created": "Tue, 28 Mar 2023 14:37:37 GMT", "version": "v1" } ]
2023-03-29
[ [ "Khanna", "Parag", "" ], [ "Björkman", "Mårten", "" ], [ "Smith", "Christian", "" ] ]
Handovers frequently occur in our social environments, making it imperative for a collaborative robotic system to master the skill of handover. In this work, we aim to investigate the relationship between the grip force variation for a human giver and the sensed interaction force-torque in human-human handovers, utiliz...
2103.11188
Isabella Panaccione
Isabella Panaccione
Attaining Sudan's decoding radius with no genus penalty for algebraic geometry codes
Typo in the title corrected
null
null
null
cs.IT math.AG math.IT
http://creativecommons.org/licenses/by/4.0/
In this paper we present a decoding algorithm for algebraic geometry codes with error-correcting capacity beyond half the designed distance of the code. This algorithm comes as a fusion of the Power Error Locating Pairs algorithm for algebraic geometry codes and the technique used by Ehrhard in order to correct these...
[ { "created": "Sat, 20 Mar 2021 14:24:22 GMT", "version": "v1" }, { "created": "Tue, 23 Mar 2021 14:22:55 GMT", "version": "v2" } ]
2021-03-24
[ [ "Panaccione", "Isabella", "" ] ]
In this paper we present a decoding algorithm for algebraic geometry codes with error-correcting capacity beyond half the designed distance of the code. This algorithm comes as a fusion of the Power Error Locating Pairs algorithm for algebraic geometry codes and the technique used by Ehrhard in order to correct these c...
0710.1482
Amey Karkare
Amey Karkare, Amitabha Sanyal, Uday Khedker
Heap Reference Analysis for Functional Programs
null
null
null
null
cs.PL cs.SE
null
Current garbage collectors leave a lot of garbage uncollected because they conservatively approximate liveness by reachability from program variables. In this paper, we describe a sequence of static analyses that takes as input a program written in a first-order, eager functional programming language, and finds at ea...
[ { "created": "Mon, 8 Oct 2007 08:43:58 GMT", "version": "v1" } ]
2007-10-09
[ [ "Karkare", "Amey", "" ], [ "Sanyal", "Amitabha", "" ], [ "Khedker", "Uday", "" ] ]
Current garbage collectors leave a lot of garbage uncollected because they conservatively approximate liveness by reachability from program variables. In this paper, we describe a sequence of static analyses that takes as input a program written in a first-order, eager functional programming language, and finds at each...
2306.01417
Robert Poe
Robert Lee Poe and Soumia Zohra El Mestari
The Flawed Foundations of Fair Machine Learning
This article is a preprint submitted to the Minds and Machines Special Issue on the (Un)fairness of AI on May 31st, 2023
null
null
null
cs.CY cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The definition and implementation of fairness in automated decisions has been extensively studied by the research community. Yet, there hides fallacious reasoning, misleading assertions, and questionable practices at the foundations of the current fair machine learning paradigm. Those flaws are the result of a failur...
[ { "created": "Fri, 2 Jun 2023 10:07:12 GMT", "version": "v1" } ]
2023-06-05
[ [ "Poe", "Robert Lee", "" ], [ "Mestari", "Soumia Zohra El", "" ] ]
The definition and implementation of fairness in automated decisions has been extensively studied by the research community. Yet, there hides fallacious reasoning, misleading assertions, and questionable practices at the foundations of the current fair machine learning paradigm. Those flaws are the result of a failure ...
2201.11481
B.Sundar Rajan
Kanishak Vaidya, and B Sundar Rajan
Multi-Access Cache-Aided Multi-User Private Information Retrieval
15 pages, 11 figures, 2 tables. Fixed minor errors in the previous version and the presentation improved
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the problem of multi-access cache-aided multi-user Private Information Retrieval (MuPIR). In this problem, several files are replicated across multiple servers. There are $K$ users and $C$ cache nodes. Each user can access $L$ cache nodes, and every cache node can be accessed by several users. Each user w...
[ { "created": "Thu, 27 Jan 2022 12:37:22 GMT", "version": "v1" }, { "created": "Wed, 9 Feb 2022 19:37:53 GMT", "version": "v2" } ]
2022-02-11
[ [ "Vaidya", "Kanishak", "" ], [ "Rajan", "B Sundar", "" ] ]
We consider the problem of multi-access cache-aided multi-user Private Information Retrieval (MuPIR). In this problem, several files are replicated across multiple servers. There are $K$ users and $C$ cache nodes. Each user can access $L$ cache nodes, and every cache node can be accessed by several users. Each user wan...
2110.00613
Jesse Dodge
Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith
Expected Validation Performance and Estimation of a Random Variable's Maximum
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Research in NLP is often supported by experimental results, and improved reporting of such results can lead to better understanding and more reproducible science. In this paper we analyze three statistical estimators for expected validation performance, a tool used for reporting performance (e.g., accuracy) as a func...
[ { "created": "Fri, 1 Oct 2021 18:48:47 GMT", "version": "v1" } ]
2021-10-05
[ [ "Dodge", "Jesse", "" ], [ "Gururangan", "Suchin", "" ], [ "Card", "Dallas", "" ], [ "Schwartz", "Roy", "" ], [ "Smith", "Noah A.", "" ] ]
Research in NLP is often supported by experimental results, and improved reporting of such results can lead to better understanding and more reproducible science. In this paper we analyze three statistical estimators for expected validation performance, a tool used for reporting performance (e.g., accuracy) as a functi...
2203.01482
Baoquan Zhang
Baoquan Zhang, Hao Jiang, Xutao Li, Shanshan Feng, Yunming Ye, Rui Ye
MetaDT: Meta Decision Tree with Class Hierarchy for Interpretable Few-Shot Learning
10 pages, 7 figures
null
null
null
cs.LG cs.CV
http://creativecommons.org/licenses/by/4.0/
Few-Shot Learning (FSL) is a challenging task, which aims to recognize novel classes with few examples. Recently, lots of methods have been proposed from the perspective of meta-learning and representation learning. However, few works focus on the interpretability of FSL decision process. In this paper, we take a ste...
[ { "created": "Thu, 3 Mar 2022 01:53:47 GMT", "version": "v1" }, { "created": "Wed, 26 Jul 2023 00:49:29 GMT", "version": "v2" } ]
2023-07-27
[ [ "Zhang", "Baoquan", "" ], [ "Jiang", "Hao", "" ], [ "Li", "Xutao", "" ], [ "Feng", "Shanshan", "" ], [ "Ye", "Yunming", "" ], [ "Ye", "Rui", "" ] ]
Few-Shot Learning (FSL) is a challenging task, which aims to recognize novel classes with few examples. Recently, lots of methods have been proposed from the perspective of meta-learning and representation learning. However, few works focus on the interpretability of FSL decision process. In this paper, we take a step ...
2210.08400
Atish Dixit
Atish Dixit, Ahmed Elsheikh
A Multilevel Reinforcement Learning Framework for PDE-based Control
In preparation for submission to a journal
null
null
null
cs.LG cs.SY eess.SY
http://creativecommons.org/licenses/by-nc-sa/4.0/
Reinforcement learning (RL) is a promising method to solve control problems. However, model-free RL algorithms are sample inefficient and require thousands if not millions of samples to learn optimal control policies. A major source of computational cost in RL corresponds to the transition function, which is dictated...
[ { "created": "Sat, 15 Oct 2022 23:52:48 GMT", "version": "v1" }, { "created": "Fri, 28 Oct 2022 16:26:04 GMT", "version": "v2" } ]
2022-10-31
[ [ "Dixit", "Atish", "" ], [ "Elsheikh", "Ahmed", "" ] ]
Reinforcement learning (RL) is a promising method to solve control problems. However, model-free RL algorithms are sample inefficient and require thousands if not millions of samples to learn optimal control policies. A major source of computational cost in RL corresponds to the transition function, which is dictated b...
2306.06865
Lichin Chen
Li-Chin Chen, Yi-Heng Lin, Li-Ning Peng, Feng-Ming Wang, Yu-Hsin Chen, Po-Hsun Huang, Shang-Feng Yang, Yu Tsao
Deep denoising autoencoder-based non-invasive blood flow detection for arteriovenous fistula
null
null
null
null
cs.LG cs.AI eess.SP
http://creativecommons.org/licenses/by/4.0/
Clinical guidelines underscore the importance of regularly monitoring and surveilling arteriovenous fistula (AVF) access in hemodialysis patients to promptly detect any dysfunction. Although phono-angiography/sound analysis overcomes the limitations of standardized AVF stenosis diagnosis tool, prior studies have depe...
[ { "created": "Mon, 12 Jun 2023 04:46:01 GMT", "version": "v1" } ]
2023-06-13
[ [ "Chen", "Li-Chin", "" ], [ "Lin", "Yi-Heng", "" ], [ "Peng", "Li-Ning", "" ], [ "Wang", "Feng-Ming", "" ], [ "Chen", "Yu-Hsin", "" ], [ "Huang", "Po-Hsun", "" ], [ "Yang", "Shang-Feng", "" ], [ "Tsa...
Clinical guidelines underscore the importance of regularly monitoring and surveilling arteriovenous fistula (AVF) access in hemodialysis patients to promptly detect any dysfunction. Although phono-angiography/sound analysis overcomes the limitations of standardized AVF stenosis diagnosis tool, prior studies have depend...
1311.2241
Ying Liu
Ying Liu and Alan S. Willsky
Learning Gaussian Graphical Models with Observed or Latent FVSs
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Gaussian Graphical Models (GGMs) or Gauss Markov random fields are widely used in many applications, and the trade-off between the modeling capacity and the efficiency of learning and inference has been an important research problem. In this paper, we study the family of GGMs with small feedback vertex sets (FVSs), w...
[ { "created": "Sun, 10 Nov 2013 02:39:48 GMT", "version": "v1" } ]
2013-11-12
[ [ "Liu", "Ying", "" ], [ "Willsky", "Alan S.", "" ] ]
Gaussian Graphical Models (GGMs) or Gauss Markov random fields are widely used in many applications, and the trade-off between the modeling capacity and the efficiency of learning and inference has been an important research problem. In this paper, we study the family of GGMs with small feedback vertex sets (FVSs), whe...
2002.10582
Jim Samuel
Jim Samuel, Richard Holowczak, Raquel Benbunan-Fich, Ilan Levine
Automating Discovery of Dominance in Synchronous Computer-Mediated Communication
null
47th Hawaii International Conference on System Sciences, 2014, pp. 1804-1812
10.1109/HICSS.2014.636
null
cs.SI cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the advent of electronic interaction, dominance (or the assertion of control over others) has acquired new dimensions. This study investigates the dynamics and characteristics of dominance in virtual interaction by analyzing electronic chat transcripts of groups solving a hidden profile task. We investigate comp...
[ { "created": "Mon, 24 Feb 2020 23:07:38 GMT", "version": "v1" } ]
2020-02-26
[ [ "Samuel", "Jim", "" ], [ "Holowczak", "Richard", "" ], [ "Benbunan-Fich", "Raquel", "" ], [ "Levine", "Ilan", "" ] ]
With the advent of electronic interaction, dominance (or the assertion of control over others) has acquired new dimensions. This study investigates the dynamics and characteristics of dominance in virtual interaction by analyzing electronic chat transcripts of groups solving a hidden profile task. We investigate comput...
1504.00681
Alexandra Kolla
Guy Kindler, Alexandra Kolla, Luca Trevisan
Approximation of non-boolean 2CSP
null
null
null
null
cs.DS cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We develop a polynomial time $\Omega\left ( \frac 1R \log R \right)$ approximate algorithm for Max 2CSP-$R$, the problem where we are given a collection of constraints, each involving two variables, where each variable ranges over a set of size $R$, and we want to find an assignment to the variables that maximizes th...
[ { "created": "Thu, 2 Apr 2015 20:05:58 GMT", "version": "v1" }, { "created": "Mon, 6 Apr 2015 02:55:27 GMT", "version": "v2" } ]
2015-04-07
[ [ "Kindler", "Guy", "" ], [ "Kolla", "Alexandra", "" ], [ "Trevisan", "Luca", "" ] ]
We develop a polynomial time $\Omega\left ( \frac 1R \log R \right)$ approximate algorithm for Max 2CSP-$R$, the problem where we are given a collection of constraints, each involving two variables, where each variable ranges over a set of size $R$, and we want to find an assignment to the variables that maximizes the ...
0904.3718
Florentina Pintea
K. Yermashov, K. H. Siemsen, K. Wolke, R.A. Rasenack
Architecture of the Neurath Basic Model View Controller
6 pages,exposed on 1st "European Conference on Computer Sciences & Applications" - XA2006, Timisoara, Romania
Ann. Univ. Tibiscus Comp. Sci. Series IV (2006), 277-282
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The idea of the Neurath Basic Model View Controller (NBMVC) appeared during the discussion of the design of domain-specific modeling tools based on the Neurath Modeling Language [Yer06]. The NBMVC is the core of the modeling process within the modeling environment. It reduces complexity out of the design process by p...
[ { "created": "Thu, 23 Apr 2009 15:05:01 GMT", "version": "v1" } ]
2009-04-24
[ [ "Yermashov", "K.", "" ], [ "Siemsen", "K. H.", "" ], [ "Wolke", "K.", "" ], [ "Rasenack", "R. A.", "" ] ]
The idea of the Neurath Basic Model View Controller (NBMVC) appeared during the discussion of the design of domain-specific modeling tools based on the Neurath Modeling Language [Yer06]. The NBMVC is the core of the modeling process within the modeling environment. It reduces complexity out of the design process by pro...
2007.08063
Boris Rubinstein
Boris Rubinstein
A fast noise filtering algorithm for time series prediction using recurrent neural networks
15 pages, 10 figures; typos corrected; the notation table removed; an appendix added
null
null
null
cs.LG math.DS stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent research demonstrate that prediction of time series by recurrent neural networks (RNNs) based on the noisy input generates a smooth anticipated trajectory. We examine the internal dynamics of RNNs and establish a set of conditions required for such behavior. Based on this analysis we propose a new approximate ...
[ { "created": "Thu, 16 Jul 2020 01:32:48 GMT", "version": "v1" }, { "created": "Wed, 12 Aug 2020 23:44:50 GMT", "version": "v2" }, { "created": "Tue, 6 Oct 2020 14:53:56 GMT", "version": "v3" } ]
2020-10-07
[ [ "Rubinstein", "Boris", "" ] ]
Recent research demonstrate that prediction of time series by recurrent neural networks (RNNs) based on the noisy input generates a smooth anticipated trajectory. We examine the internal dynamics of RNNs and establish a set of conditions required for such behavior. Based on this analysis we propose a new approximate al...
2403.12466
Yunhan Ren
Yunhan Ren, Bo Li, Chengyang Zhang, Yong Zhang, Baocai Yin
Few-shot Object Localization
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Existing object localization methods are tailored to locate specific classes of objects, relying heavily on abundant labeled data for model optimization. However, acquiring large amounts of labeled data is challenging in many real-world scenarios, significantly limiting the broader application of localization models....
[ { "created": "Tue, 19 Mar 2024 05:50:48 GMT", "version": "v1" }, { "created": "Sun, 24 Mar 2024 12:42:25 GMT", "version": "v2" }, { "created": "Wed, 5 Jun 2024 08:10:26 GMT", "version": "v3" } ]
2024-06-06
[ [ "Ren", "Yunhan", "" ], [ "Li", "Bo", "" ], [ "Zhang", "Chengyang", "" ], [ "Zhang", "Yong", "" ], [ "Yin", "Baocai", "" ] ]
Existing object localization methods are tailored to locate specific classes of objects, relying heavily on abundant labeled data for model optimization. However, acquiring large amounts of labeled data is challenging in many real-world scenarios, significantly limiting the broader application of localization models. T...
1910.04284
Colin Wei
Colin Wei, Tengyu Ma
Improved Sample Complexities for Deep Networks and Robust Classification via an All-Layer Margin
Code for all-layer margin optimization is available at the following link: https://github.com/cwein3/all-layer-margin-opt. Version 4: Re-organized proofs for more clarity
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
For linear classifiers, the relationship between (normalized) output margin and generalization is captured in a clear and simple bound -- a large output margin implies good generalization. Unfortunately, for deep models, this relationship is less clear: existing analyses of the output margin give complicated bounds w...
[ { "created": "Wed, 9 Oct 2019 22:45:45 GMT", "version": "v1" }, { "created": "Fri, 10 Apr 2020 08:52:51 GMT", "version": "v2" }, { "created": "Sat, 25 Apr 2020 06:24:54 GMT", "version": "v3" }, { "created": "Sun, 11 Apr 2021 08:30:15 GMT", "version": "v4" }, { "cr...
2021-06-17
[ [ "Wei", "Colin", "" ], [ "Ma", "Tengyu", "" ] ]
For linear classifiers, the relationship between (normalized) output margin and generalization is captured in a clear and simple bound -- a large output margin implies good generalization. Unfortunately, for deep models, this relationship is less clear: existing analyses of the output margin give complicated bounds whi...
2306.11950
Xundong Wu
Xundong Wu, Pengfei Zhao, Zilin Yu, Lei Ma, Ka-Wa Yip, Huajin Tang, Gang Pan, Tiejun Huang
Mitigating Communication Costs in Neural Networks: The Role of Dendritic Nonlinearity
null
null
null
null
cs.NE cs.LG q-bio.NC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Our comprehension of biological neuronal networks has profoundly influenced the evolution of artificial neural networks (ANNs). However, the neurons employed in ANNs exhibit remarkable deviations from their biological analogs, mainly due to the absence of complex dendritic trees encompassing local nonlinearity. Despi...
[ { "created": "Wed, 21 Jun 2023 00:28:20 GMT", "version": "v1" } ]
2023-06-22
[ [ "Wu", "Xundong", "" ], [ "Zhao", "Pengfei", "" ], [ "Yu", "Zilin", "" ], [ "Ma", "Lei", "" ], [ "Yip", "Ka-Wa", "" ], [ "Tang", "Huajin", "" ], [ "Pan", "Gang", "" ], [ "Huang", "Tiejun", ""...
Our comprehension of biological neuronal networks has profoundly influenced the evolution of artificial neural networks (ANNs). However, the neurons employed in ANNs exhibit remarkable deviations from their biological analogs, mainly due to the absence of complex dendritic trees encompassing local nonlinearity. Despite...
2305.16998
Min Zhang
Zhiyi Xue, Si Liu, Zhaodi Zhang, Yiting Wu, Min Zhang
A Tale of Two Approximations: Tightening Over-Approximation for DNN Robustness Verification via Under-Approximation
16 pages, 11 figures, 5 tables, ISSTA 2023. arXiv admin note: substantial text overlap with arXiv:2211.11186
null
10.1145/3597926.3598127
null
cs.LG cs.AI
http://creativecommons.org/licenses/by-nc-nd/4.0/
The robustness of deep neural networks (DNNs) is crucial to the hosting system's reliability and security. Formal verification has been demonstrated to be effective in providing provable robustness guarantees. To improve its scalability, over-approximating the non-linear activation functions in DNNs by linear constra...
[ { "created": "Fri, 26 May 2023 14:58:30 GMT", "version": "v1" } ]
2023-05-29
[ [ "Xue", "Zhiyi", "" ], [ "Liu", "Si", "" ], [ "Zhang", "Zhaodi", "" ], [ "Wu", "Yiting", "" ], [ "Zhang", "Min", "" ] ]
The robustness of deep neural networks (DNNs) is crucial to the hosting system's reliability and security. Formal verification has been demonstrated to be effective in providing provable robustness guarantees. To improve its scalability, over-approximating the non-linear activation functions in DNNs by linear constrain...
2010.08542
Adrian de Wynter
Adrian de Wynter
Mischief: A Simple Black-Box Attack Against Transformer Architectures
Technical report
null
null
null
cs.CL cs.CR cs.LG
http://creativecommons.org/licenses/by/4.0/
We introduce Mischief, a simple and lightweight method to produce a class of human-readable, realistic adversarial examples for language models. We perform exhaustive experimentations of our algorithm on four transformer-based architectures, across a variety of downstream tasks, as well as under varying concentration...
[ { "created": "Fri, 16 Oct 2020 17:52:06 GMT", "version": "v1" } ]
2020-10-19
[ [ "de Wynter", "Adrian", "" ] ]
We introduce Mischief, a simple and lightweight method to produce a class of human-readable, realistic adversarial examples for language models. We perform exhaustive experimentations of our algorithm on four transformer-based architectures, across a variety of downstream tasks, as well as under varying concentrations ...
2106.10124
Oriel Frigo
Oriel Frigo, R\'emy Brossard, David Dehaene
Graph Context Encoder: Graph Feature Inpainting for Graph Generation and Self-supervised Pretraining
13 pages, 4 figures
null
null
null
cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
We propose the Graph Context Encoder (GCE), a simple but efficient approach for graph representation learning based on graph feature masking and reconstruction. GCE models are trained to efficiently reconstruct input graphs similarly to a graph autoencoder where node and edge labels are masked. In particular, our m...
[ { "created": "Fri, 18 Jun 2021 13:28:11 GMT", "version": "v1" } ]
2021-06-21
[ [ "Frigo", "Oriel", "" ], [ "Brossard", "Rémy", "" ], [ "Dehaene", "David", "" ] ]
We propose the Graph Context Encoder (GCE), a simple but efficient approach for graph representation learning based on graph feature masking and reconstruction. GCE models are trained to efficiently reconstruct input graphs similarly to a graph autoencoder where node and edge labels are masked. In particular, our model...
2309.14720
Chen Yu
Yu Chen, Gong Chen, Jing Ye, Chenglong Fu, Bin Liang, and Xiang Li
Learning to Assist Different Wearers in Multitasks: Efficient and Individualized Human-In-the-Loop Adaption Framework for Exoskeleton Robots
16 pages journal article
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
One of the typical purposes of using lower-limb exoskeleton robots is to provide assistance to the wearer by supporting their weight and augmenting their physical capabilities according to a given task and human motion intentions. The generalizability of robots across different wearers in multiple tasks is important ...
[ { "created": "Tue, 26 Sep 2023 07:26:48 GMT", "version": "v1" } ]
2023-09-27
[ [ "Chen", "Yu", "" ], [ "Chen", "Gong", "" ], [ "Ye", "Jing", "" ], [ "Fu", "Chenglong", "" ], [ "Liang", "Bin", "" ], [ "Li", "Xiang", "" ] ]
One of the typical purposes of using lower-limb exoskeleton robots is to provide assistance to the wearer by supporting their weight and augmenting their physical capabilities according to a given task and human motion intentions. The generalizability of robots across different wearers in multiple tasks is important to...
2010.06050
Juner Zhu
Wei Li and Martin Z. Bazant and Juner Zhu
A Physics-Guided Neural Network Framework for Elastic Plates: Comparison of Governing Equations-Based and Energy-Based Approaches
null
null
10.1016/j.cma.2021.113933
null
cs.CE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
One of the obstacles hindering the scaling-up of the initial successes of machine learning in practical engineering applications is the dependence of the accuracy on the size of the database that "drives" the algorithms. Incorporating the already-known physical laws into the training process can significantly reduce ...
[ { "created": "Mon, 12 Oct 2020 21:51:35 GMT", "version": "v1" }, { "created": "Wed, 14 Oct 2020 00:37:33 GMT", "version": "v2" }, { "created": "Mon, 18 Jan 2021 20:45:48 GMT", "version": "v3" } ]
2021-06-09
[ [ "Li", "Wei", "" ], [ "Bazant", "Martin Z.", "" ], [ "Zhu", "Juner", "" ] ]
One of the obstacles hindering the scaling-up of the initial successes of machine learning in practical engineering applications is the dependence of the accuracy on the size of the database that "drives" the algorithms. Incorporating the already-known physical laws into the training process can significantly reduce th...
2104.01569
Endri Kacupaj
Endri Kacupaj, Joan Plepi, Kuldeep Singh, Harsh Thakkar, Jens Lehmann, Maria Maleshkova
Conversational Question Answering over Knowledge Graphs with Transformer and Graph Attention Networks
16th conference of the European Chapter of the Association for Computational Linguistics (EACL 2021)
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
This paper addresses the task of (complex) conversational question answering over a knowledge graph. For this task, we propose LASAGNE (muLti-task semAntic parSing with trAnsformer and Graph atteNtion nEtworks). It is the first approach, which employs a transformer architecture extended with Graph Attention Networks ...
[ { "created": "Sun, 4 Apr 2021 09:21:50 GMT", "version": "v1" }, { "created": "Thu, 24 Jun 2021 11:41:05 GMT", "version": "v2" } ]
2021-06-25
[ [ "Kacupaj", "Endri", "" ], [ "Plepi", "Joan", "" ], [ "Singh", "Kuldeep", "" ], [ "Thakkar", "Harsh", "" ], [ "Lehmann", "Jens", "" ], [ "Maleshkova", "Maria", "" ] ]
This paper addresses the task of (complex) conversational question answering over a knowledge graph. For this task, we propose LASAGNE (muLti-task semAntic parSing with trAnsformer and Graph atteNtion nEtworks). It is the first approach, which employs a transformer architecture extended with Graph Attention Networks fo...
1812.05448
Mengwei Xu
Mengwei Xu, Jiawei Liu, Yuanqiang Liu, Felix Xiaozhu Lin, Yunxin Liu, and Xuanzhe Liu
A First Look at Deep Learning Apps on Smartphones
null
null
null
null
cs.LG cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We are in the dawn of deep learning explosion for smartphones. To bridge the gap between research and practice, we present the first empirical study on 16,500 the most popular Android apps, demystifying how smartphone apps exploit deep learning in the wild. To this end, we build a new static tool that dissects apps a...
[ { "created": "Thu, 8 Nov 2018 07:59:23 GMT", "version": "v1" }, { "created": "Wed, 23 Jan 2019 04:28:12 GMT", "version": "v2" }, { "created": "Mon, 30 Mar 2020 03:50:46 GMT", "version": "v3" }, { "created": "Wed, 13 Jan 2021 01:29:33 GMT", "version": "v4" } ]
2021-01-14
[ [ "Xu", "Mengwei", "" ], [ "Liu", "Jiawei", "" ], [ "Liu", "Yuanqiang", "" ], [ "Lin", "Felix Xiaozhu", "" ], [ "Liu", "Yunxin", "" ], [ "Liu", "Xuanzhe", "" ] ]
We are in the dawn of deep learning explosion for smartphones. To bridge the gap between research and practice, we present the first empirical study on 16,500 the most popular Android apps, demystifying how smartphone apps exploit deep learning in the wild. To this end, we build a new static tool that dissects apps and...
1811.05115
Kshitij Gajjar
Kshitij Gajjar, Jaikumar Radhakrishnan
Parametric Shortest Paths in Planar Graphs
39 pages, 4 figures
null
null
null
cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We construct a family of planar graphs $\{G_n\}_{n\geq 4}$, where $G_n$ has $n$ vertices including a source vertex $s$ and a sink vertex $t$, and edge weights that change linearly with a parameter $\lambda$ such that, as $\lambda$ varies in $(-\infty,+\infty)$, the piece-wise linear cost of the shortest path from $s$...
[ { "created": "Tue, 13 Nov 2018 05:35:47 GMT", "version": "v1" }, { "created": "Mon, 4 Feb 2019 05:49:08 GMT", "version": "v2" }, { "created": "Wed, 19 Jun 2019 07:56:19 GMT", "version": "v3" } ]
2019-06-20
[ [ "Gajjar", "Kshitij", "" ], [ "Radhakrishnan", "Jaikumar", "" ] ]
We construct a family of planar graphs $\{G_n\}_{n\geq 4}$, where $G_n$ has $n$ vertices including a source vertex $s$ and a sink vertex $t$, and edge weights that change linearly with a parameter $\lambda$ such that, as $\lambda$ varies in $(-\infty,+\infty)$, the piece-wise linear cost of the shortest path from $s$ t...
1707.01810
Varun Ojha
Varun Kumar Ojha, Ajith Abraham, Vaclav Snasel
Simultaneous Optimization of Neural Network Weights and Active Nodes using Metaheuristics
null
null
10.1109/HIS.2014.7086207
null
cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Optimization of neural network (NN) significantly influenced by the transfer function used in its active nodes. It has been observed that the homogeneity in the activation nodes does not provide the best solution. Therefore, the customizable transfer functions whose underlying parameters are subjected to optimization...
[ { "created": "Thu, 6 Jul 2017 14:20:50 GMT", "version": "v1" } ]
2017-07-07
[ [ "Ojha", "Varun Kumar", "" ], [ "Abraham", "Ajith", "" ], [ "Snasel", "Vaclav", "" ] ]
Optimization of neural network (NN) significantly influenced by the transfer function used in its active nodes. It has been observed that the homogeneity in the activation nodes does not provide the best solution. Therefore, the customizable transfer functions whose underlying parameters are subjected to optimization w...
2402.05156
Petra Heck
Petra Heck
What About the Data? A Mapping Study on Data Engineering for AI Systems
Preprint, accepted for CAIN24
null
10.1145/3644815.3644954
null
cs.DL cs.AI cs.DB
http://creativecommons.org/licenses/by/4.0/
AI systems cannot exist without data. Now that AI models (data science and AI) have matured and are readily available to apply in practice, most organizations struggle with the data infrastructure to do so. There is a growing need for data engineers that know how to prepare data for AI systems or that can setup enter...
[ { "created": "Wed, 7 Feb 2024 16:31:58 GMT", "version": "v1" } ]
2024-02-09
[ [ "Heck", "Petra", "" ] ]
AI systems cannot exist without data. Now that AI models (data science and AI) have matured and are readily available to apply in practice, most organizations struggle with the data infrastructure to do so. There is a growing need for data engineers that know how to prepare data for AI systems or that can setup enterpr...
2210.10180
Mrigank Rochan
Mrigank Rochan, Xingxin Chen, Alaap Grandhi, Eduardo R. Corral-Soto, Bingbing Liu
Domain Adaptation in 3D Object Detection with Gradual Batch Alternation Training
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the problem of domain adaptation in LiDAR-based 3D object detection. Towards this, we propose a simple yet effective training strategy called Gradual Batch Alternation that can adapt from a large labeled source domain to an insufficiently labeled target domain. The idea is to initiate the training with th...
[ { "created": "Tue, 18 Oct 2022 22:03:37 GMT", "version": "v1" }, { "created": "Sat, 5 Aug 2023 01:29:51 GMT", "version": "v2" } ]
2023-08-08
[ [ "Rochan", "Mrigank", "" ], [ "Chen", "Xingxin", "" ], [ "Grandhi", "Alaap", "" ], [ "Corral-Soto", "Eduardo R.", "" ], [ "Liu", "Bingbing", "" ] ]
We consider the problem of domain adaptation in LiDAR-based 3D object detection. Towards this, we propose a simple yet effective training strategy called Gradual Batch Alternation that can adapt from a large labeled source domain to an insufficiently labeled target domain. The idea is to initiate the training with the ...
2403.02902
Chengguang Gan
Chengguang Gan, Xuzheng He, Qinghao Zhang, Tatsunori Mori
Demonstrating Mutual Reinforcement Effect through Information Flow
The co-authors have requested that the manuscript be withdrawn. And the paper has major flaws
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Mutual Reinforcement Effect (MRE) investigates the synergistic relationship between word-level and text-level classifications in text classification tasks. It posits that the performance of both classification levels can be mutually enhanced. However, this mechanism has not been adequately demonstrated or explain...
[ { "created": "Tue, 5 Mar 2024 12:11:32 GMT", "version": "v1" }, { "created": "Wed, 5 Jun 2024 15:47:38 GMT", "version": "v2" } ]
2024-06-06
[ [ "Gan", "Chengguang", "" ], [ "He", "Xuzheng", "" ], [ "Zhang", "Qinghao", "" ], [ "Mori", "Tatsunori", "" ] ]
The Mutual Reinforcement Effect (MRE) investigates the synergistic relationship between word-level and text-level classifications in text classification tasks. It posits that the performance of both classification levels can be mutually enhanced. However, this mechanism has not been adequately demonstrated or explained...
2005.07111
Madhumita Sushil
Madhumita Sushil and Simon \v{S}uster and Walter Daelemans
Distilling neural networks into skipgram-level decision lists
null
null
null
null
cs.CL cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Several previous studies on explanation for recurrent neural networks focus on approaches that find the most important input segments for a network as its explanations. In that case, the manner in which these input segments combine with each other to form an explanatory pattern remains unknown. To overcome this, some...
[ { "created": "Thu, 14 May 2020 16:25:42 GMT", "version": "v1" }, { "created": "Mon, 18 May 2020 08:43:42 GMT", "version": "v2" } ]
2020-05-19
[ [ "Sushil", "Madhumita", "" ], [ "Šuster", "Simon", "" ], [ "Daelemans", "Walter", "" ] ]
Several previous studies on explanation for recurrent neural networks focus on approaches that find the most important input segments for a network as its explanations. In that case, the manner in which these input segments combine with each other to form an explanatory pattern remains unknown. To overcome this, some p...
2101.09810
Bilal Ghanem
Bilal Ghanem, Simone Paolo Ponzetto, Paolo Rosso, Francisco Rangel
FakeFlow: Fake News Detection by Modeling the Flow of Affective Information
9 pages, 6 figures, EACL-2021
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Fake news articles often stir the readers' attention by means of emotional appeals that arouse their feelings. Unlike in short news texts, authors of longer articles can exploit such affective factors to manipulate readers by adding exaggerations or fabricating events, in order to affect the readers' emotions. To cap...
[ { "created": "Sun, 24 Jan 2021 21:55:28 GMT", "version": "v1" } ]
2021-01-26
[ [ "Ghanem", "Bilal", "" ], [ "Ponzetto", "Simone Paolo", "" ], [ "Rosso", "Paolo", "" ], [ "Rangel", "Francisco", "" ] ]
Fake news articles often stir the readers' attention by means of emotional appeals that arouse their feelings. Unlike in short news texts, authors of longer articles can exploit such affective factors to manipulate readers by adding exaggerations or fabricating events, in order to affect the readers' emotions. To captu...
2407.05858
Daliang Xu
Daliang Xu, Hao Zhang, Liming Yang, Ruiqi Liu, Gang Huang, Mengwei Xu, Xuanzhe Liu
Empowering 1000 tokens/second on-device LLM prefilling with mllm-NPU
null
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
On-device large language models (LLMs) are catalyzing novel mobile applications such as UI task automation and personalized email auto-reply, without giving away users' private data. However, on-device LLMs still suffer from unacceptably long inference latency, especially the time to first token (prefill stage) due t...
[ { "created": "Mon, 8 Jul 2024 12:20:45 GMT", "version": "v1" } ]
2024-07-09
[ [ "Xu", "Daliang", "" ], [ "Zhang", "Hao", "" ], [ "Yang", "Liming", "" ], [ "Liu", "Ruiqi", "" ], [ "Huang", "Gang", "" ], [ "Xu", "Mengwei", "" ], [ "Liu", "Xuanzhe", "" ] ]
On-device large language models (LLMs) are catalyzing novel mobile applications such as UI task automation and personalized email auto-reply, without giving away users' private data. However, on-device LLMs still suffer from unacceptably long inference latency, especially the time to first token (prefill stage) due to ...
2212.05028
Tirth Patel
Tirth Patel, Niyatiben Salot, Vrusha Parikh
A systematic literature review on Security of Unmanned Aerial Vehicle Systems
10 Pages, 4 Figures
null
null
null
cs.CR cs.NI
http://creativecommons.org/licenses/by/4.0/
Unmanned aerial vehicles (UAVs) are becoming more common, and their operational range is expanding tremendously, making the security aspect of the inquiry essential. This study does a thorough assessment of the literature to determine the most common cyberattacks and the effects they have on UAV assaults on civilian ...
[ { "created": "Fri, 9 Dec 2022 18:21:18 GMT", "version": "v1" } ]
2022-12-12
[ [ "Patel", "Tirth", "" ], [ "Salot", "Niyatiben", "" ], [ "Parikh", "Vrusha", "" ] ]
Unmanned aerial vehicles (UAVs) are becoming more common, and their operational range is expanding tremendously, making the security aspect of the inquiry essential. This study does a thorough assessment of the literature to determine the most common cyberattacks and the effects they have on UAV assaults on civilian ta...
2112.07867
Aman Madaan
Niket Tandon, Aman Madaan, Peter Clark, Keisuke Sakaguchi, Yiming Yang
Interscript: A dataset for interactive learning of scripts through error feedback
AAAI'22-Workshop on Interactive Machine Learning
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
How can an end-user provide feedback if a deployed structured prediction model generates inconsistent output, ignoring the structural complexity of human language? This is an emerging topic with recent progress in synthetic or constrained settings, and the next big leap would require testing and tuning models in real...
[ { "created": "Wed, 15 Dec 2021 04:04:03 GMT", "version": "v1" }, { "created": "Thu, 16 Dec 2021 03:31:52 GMT", "version": "v2" } ]
2021-12-17
[ [ "Tandon", "Niket", "" ], [ "Madaan", "Aman", "" ], [ "Clark", "Peter", "" ], [ "Sakaguchi", "Keisuke", "" ], [ "Yang", "Yiming", "" ] ]
How can an end-user provide feedback if a deployed structured prediction model generates inconsistent output, ignoring the structural complexity of human language? This is an emerging topic with recent progress in synthetic or constrained settings, and the next big leap would require testing and tuning models in real-w...
2103.13525
Jose Vega
Jos\'e David Vega S\'anchez, Luis Urquiza-Aguiar, Martha Cecilia Paredes Paredes, and F. Javier L\'opez-Mart\'inez
Expectation-Maximization Learning for Wireless Channel Modeling of Reconfigurable Intelligent Surfaces
null
null
null
null
cs.IT math.IT
http://creativecommons.org/publicdomain/zero/1.0/
Channel modeling is a critical issue when designing or evaluating the performance of reconfigurable intelligent surface (RIS)-assisted communications. Inspired by the promising potential of learning-based methods for characterizing the radio environment, we present a general approach to model the RIS end-to-end equiv...
[ { "created": "Wed, 24 Mar 2021 23:21:13 GMT", "version": "v1" }, { "created": "Tue, 10 Aug 2021 19:23:27 GMT", "version": "v2" } ]
2021-08-12
[ [ "Sánchez", "José David Vega", "" ], [ "Urquiza-Aguiar", "Luis", "" ], [ "Paredes", "Martha Cecilia Paredes", "" ], [ "López-Martínez", "F. Javier", "" ] ]
Channel modeling is a critical issue when designing or evaluating the performance of reconfigurable intelligent surface (RIS)-assisted communications. Inspired by the promising potential of learning-based methods for characterizing the radio environment, we present a general approach to model the RIS end-to-end equival...
2304.07042
Yifang Qin
Yifang Qin, Wei Ju, Hongjun Wu, Xiao Luo, Ming Zhang
Learning Graph ODE for Continuous-Time Sequential Recommendation
Accepted by EEE Transactions on Knowledge and Data Engineering (TKDE 2024)
null
10.1109/TKDE.2024.3349397
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sequential recommendation aims at understanding user preference by capturing successive behavior correlations, which are usually represented as the item purchasing sequences based on their past interactions. Existing efforts generally predict the next item via modeling the sequential patterns. Despite effectiveness, ...
[ { "created": "Fri, 14 Apr 2023 10:33:56 GMT", "version": "v1" }, { "created": "Sat, 20 Jan 2024 08:58:56 GMT", "version": "v2" } ]
2024-01-23
[ [ "Qin", "Yifang", "" ], [ "Ju", "Wei", "" ], [ "Wu", "Hongjun", "" ], [ "Luo", "Xiao", "" ], [ "Zhang", "Ming", "" ] ]
Sequential recommendation aims at understanding user preference by capturing successive behavior correlations, which are usually represented as the item purchasing sequences based on their past interactions. Existing efforts generally predict the next item via modeling the sequential patterns. Despite effectiveness, th...
2012.14602
Oleg Vasilyev
Oleg Vasilyev and John Bohannon
Is human scoring the best criteria for summary evaluation?
7 pages, 5 figures, 1 table
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Normally, summary quality measures are compared with quality scores produced by human annotators. A higher correlation with human scores is considered to be a fair indicator of a better measure. We discuss observations that cast doubt on this view. We attempt to show a possibility of an alternative indicator. Given a...
[ { "created": "Tue, 29 Dec 2020 04:48:52 GMT", "version": "v1" } ]
2021-01-01
[ [ "Vasilyev", "Oleg", "" ], [ "Bohannon", "John", "" ] ]
Normally, summary quality measures are compared with quality scores produced by human annotators. A higher correlation with human scores is considered to be a fair indicator of a better measure. We discuss observations that cast doubt on this view. We attempt to show a possibility of an alternative indicator. Given a f...
2304.06484
Mark Hamilton
Howard Zhong, Mark Hamilton
Exploring Gender and Race Biases in the NFT Market
null
null
10.1016/j.frl.2023.103651
null
cs.CY cs.LG cs.SI econ.GN q-fin.EC stat.AP
http://creativecommons.org/licenses/by/4.0/
Non-Fungible Tokens (NFTs) are non-interchangeable assets, usually digital art, which are stored on the blockchain. Preliminary studies find that female and darker-skinned NFTs are valued less than their male and lighter-skinned counterparts. However, these studies analyze only the CryptoPunks collection. We test the...
[ { "created": "Wed, 29 Mar 2023 17:38:11 GMT", "version": "v1" } ]
2023-04-14
[ [ "Zhong", "Howard", "" ], [ "Hamilton", "Mark", "" ] ]
Non-Fungible Tokens (NFTs) are non-interchangeable assets, usually digital art, which are stored on the blockchain. Preliminary studies find that female and darker-skinned NFTs are valued less than their male and lighter-skinned counterparts. However, these studies analyze only the CryptoPunks collection. We test the s...
2205.15868
Ming Ding
Wenyi Hong, Ming Ding, Wendi Zheng, Xinghan Liu, Jie Tang
CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers
null
null
null
null
cs.CV cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large-scale pretrained transformers have created milestones in text (GPT-3) and text-to-image (DALL-E and CogView) generation. Its application to video generation is still facing many challenges: The potential huge computation cost makes the training from scratch unaffordable; The scarcity and weak relevance of text-...
[ { "created": "Sun, 29 May 2022 19:02:15 GMT", "version": "v1" } ]
2022-06-01
[ [ "Hong", "Wenyi", "" ], [ "Ding", "Ming", "" ], [ "Zheng", "Wendi", "" ], [ "Liu", "Xinghan", "" ], [ "Tang", "Jie", "" ] ]
Large-scale pretrained transformers have created milestones in text (GPT-3) and text-to-image (DALL-E and CogView) generation. Its application to video generation is still facing many challenges: The potential huge computation cost makes the training from scratch unaffordable; The scarcity and weak relevance of text-vi...
1312.0526
Giuseppe Ottaviano
Djamal Belazzougui, Paolo Boldi, Giuseppe Ottaviano, Rossano Venturini, Sebastiano Vigna
Cache-Oblivious Peeling of Random Hypergraphs
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The computation of a peeling order in a randomly generated hypergraph is the most time-consuming step in a number of constructions, such as perfect hashing schemes, random $r$-SAT solvers, error-correcting codes, and approximate set encodings. While there exists a straightforward linear time algorithm, its poor I/O p...
[ { "created": "Mon, 2 Dec 2013 17:37:51 GMT", "version": "v1" } ]
2013-12-03
[ [ "Belazzougui", "Djamal", "" ], [ "Boldi", "Paolo", "" ], [ "Ottaviano", "Giuseppe", "" ], [ "Venturini", "Rossano", "" ], [ "Vigna", "Sebastiano", "" ] ]
The computation of a peeling order in a randomly generated hypergraph is the most time-consuming step in a number of constructions, such as perfect hashing schemes, random $r$-SAT solvers, error-correcting codes, and approximate set encodings. While there exists a straightforward linear time algorithm, its poor I/O per...
1808.08601
Zhengqi Li
Zhengqi Li and Noah Snavely
CGIntrinsics: Better Intrinsic Image Decomposition through Physically-Based Rendering
Paper for 'CGIntrinsics: Better Intrinsic Image Decomposition through Physically-Based Rendering' published in ECCV, 2018
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Intrinsic image decomposition is a challenging, long-standing computer vision problem for which ground truth data is very difficult to acquire. We explore the use of synthetic data for training CNN-based intrinsic image decomposition models, then applying these learned models to real-world images. To that end, we pre...
[ { "created": "Sun, 26 Aug 2018 17:58:46 GMT", "version": "v1" }, { "created": "Sun, 11 Nov 2018 00:53:00 GMT", "version": "v2" }, { "created": "Wed, 5 Dec 2018 22:34:49 GMT", "version": "v3" } ]
2018-12-07
[ [ "Li", "Zhengqi", "" ], [ "Snavely", "Noah", "" ] ]
Intrinsic image decomposition is a challenging, long-standing computer vision problem for which ground truth data is very difficult to acquire. We explore the use of synthetic data for training CNN-based intrinsic image decomposition models, then applying these learned models to real-world images. To that end, we prese...
2111.09487
Bingjie Yan
Zhicheng Zhou, Hailong Chen, Kunhua Li, Fei Hu, Bingjie Yan, Jieren Cheng, Xuyan Wei, Bernie Liu, Xiulai Li, Fuwen Chen, Yongji Sui
A Novel Optimized Asynchronous Federated Learning Framework
8 pages
null
null
null
cs.LG cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Federated Learning (FL) since proposed has been applied in many fields, such as credit assessment, medical, etc. Because of the difference in the network or computing resource, the clients may not update their gradients at the same time that may take a lot of time to wait or idle. That's why Asynchronous Federated Le...
[ { "created": "Thu, 18 Nov 2021 02:52:49 GMT", "version": "v1" } ]
2021-11-19
[ [ "Zhou", "Zhicheng", "" ], [ "Chen", "Hailong", "" ], [ "Li", "Kunhua", "" ], [ "Hu", "Fei", "" ], [ "Yan", "Bingjie", "" ], [ "Cheng", "Jieren", "" ], [ "Wei", "Xuyan", "" ], [ "Liu", "Bernie", ...
Federated Learning (FL) since proposed has been applied in many fields, such as credit assessment, medical, etc. Because of the difference in the network or computing resource, the clients may not update their gradients at the same time that may take a lot of time to wait or idle. That's why Asynchronous Federated Lear...
1803.09932
Jianbo Wang
Dasong Li, Jianbo Wang
Image Semantic Transformation: Faster, Lighter and Stronger
ECCV 2018 submission, 14 pages
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by-nc-sa/4.0/
We propose Image-Semantic-Transformation-Reconstruction-Circle(ISTRC) model, a novel and powerful method using facenet's Euclidean latent space to understand the images. As the name suggests, ISTRC construct the circle, able to perfectly reconstruct images. One powerful Euclidean latent space embedded in ISTRC is Fac...
[ { "created": "Tue, 27 Mar 2018 07:20:46 GMT", "version": "v1" } ]
2018-03-28
[ [ "Li", "Dasong", "" ], [ "Wang", "Jianbo", "" ] ]
We propose Image-Semantic-Transformation-Reconstruction-Circle(ISTRC) model, a novel and powerful method using facenet's Euclidean latent space to understand the images. As the name suggests, ISTRC construct the circle, able to perfectly reconstruct images. One powerful Euclidean latent space embedded in ISTRC is FaceN...
1802.09303
Ganzhao Yuan
Ganzhao Yuan, Li Shen, Wei-Shi Zheng
A Decomposition Algorithm for the Sparse Generalized Eigenvalue Problem
To appear in CVPR 2019
null
null
null
cs.NA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The sparse generalized eigenvalue problem arises in a number of standard and modern statistical learning models, including sparse principal component analysis, sparse Fisher discriminant analysis, and sparse canonical correlation analysis. However, this problem is difficult to solve since it is NP-hard. In this paper...
[ { "created": "Mon, 26 Feb 2018 14:00:22 GMT", "version": "v1" }, { "created": "Sat, 2 Mar 2019 08:34:02 GMT", "version": "v2" } ]
2019-03-05
[ [ "Yuan", "Ganzhao", "" ], [ "Shen", "Li", "" ], [ "Zheng", "Wei-Shi", "" ] ]
The sparse generalized eigenvalue problem arises in a number of standard and modern statistical learning models, including sparse principal component analysis, sparse Fisher discriminant analysis, and sparse canonical correlation analysis. However, this problem is difficult to solve since it is NP-hard. In this paper, ...
2207.01531
Giovanni Apruzzese
Giovanni Apruzzese, Rodion Vladimirov, Aliya Tastemirova, Pavel Laskov
Wild Networks: Exposure of 5G Network Infrastructures to Adversarial Examples
null
null
10.1109/TNSM.2022.3188930
null
cs.CR cs.LG cs.NI
http://creativecommons.org/licenses/by/4.0/
Fifth Generation (5G) networks must support billions of heterogeneous devices while guaranteeing optimal Quality of Service (QoS). Such requirements are impossible to meet with human effort alone, and Machine Learning (ML) represents a core asset in 5G. ML, however, is known to be vulnerable to adversarial examples; ...
[ { "created": "Mon, 4 Jul 2022 15:52:54 GMT", "version": "v1" } ]
2022-10-19
[ [ "Apruzzese", "Giovanni", "" ], [ "Vladimirov", "Rodion", "" ], [ "Tastemirova", "Aliya", "" ], [ "Laskov", "Pavel", "" ] ]
Fifth Generation (5G) networks must support billions of heterogeneous devices while guaranteeing optimal Quality of Service (QoS). Such requirements are impossible to meet with human effort alone, and Machine Learning (ML) represents a core asset in 5G. ML, however, is known to be vulnerable to adversarial examples; mo...
2007.04954
Chuang Gan
Chuang Gan, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Michael Lingelbach, Aidan Curtis, Kevin Feigelis, Daniel M. Bear, Dan Gutfreund, David Cox, Antonio Torralba, James J. DiC...
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation
Oral Presentation at NeurIPS 21 Datasets and Benchmarks Track. Project page: http://www.threedworld.org
null
null
null
cs.CV cs.GR cs.LG cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce ThreeDWorld (TDW), a platform for interactive multi-modal physical simulation. TDW enables simulation of high-fidelity sensory data and physical interactions between mobile agents and objects in rich 3D environments. Unique properties include: real-time near-photo-realistic image rendering; a library of ...
[ { "created": "Thu, 9 Jul 2020 17:33:27 GMT", "version": "v1" }, { "created": "Tue, 28 Dec 2021 17:03:21 GMT", "version": "v2" } ]
2021-12-30
[ [ "Gan", "Chuang", "" ], [ "Schwartz", "Jeremy", "" ], [ "Alter", "Seth", "" ], [ "Mrowca", "Damian", "" ], [ "Schrimpf", "Martin", "" ], [ "Traer", "James", "" ], [ "De Freitas", "Julian", "" ], [ "K...
We introduce ThreeDWorld (TDW), a platform for interactive multi-modal physical simulation. TDW enables simulation of high-fidelity sensory data and physical interactions between mobile agents and objects in rich 3D environments. Unique properties include: real-time near-photo-realistic image rendering; a library of ob...
2211.13258
Koorosh Aslansefat
Sohag Kabir, Koorosh Aslansefat, Prosanta Gope, Felician Campean, Yiannis Papadopoulos
Online Dynamic Reliability Evaluation of Wind Turbines based on Drone-assisted Monitoring
A modified version of this work has been published in the 2022 International Conference on Computing, Electronics & Communications Engineering (iCCECE). This work is a draft author version
null
null
null
cs.AI cs.RO cs.SY eess.SY
http://creativecommons.org/licenses/by/4.0/
The offshore wind energy is increasingly becoming an attractive source of energy due to having lower environmental impact. Effective operation and maintenance that ensures the maximum availability of the energy generation process using offshore facilities and minimal production cost are two key factors to improve the...
[ { "created": "Wed, 23 Nov 2022 19:11:33 GMT", "version": "v1" } ]
2022-11-28
[ [ "Kabir", "Sohag", "" ], [ "Aslansefat", "Koorosh", "" ], [ "Gope", "Prosanta", "" ], [ "Campean", "Felician", "" ], [ "Papadopoulos", "Yiannis", "" ] ]
The offshore wind energy is increasingly becoming an attractive source of energy due to having lower environmental impact. Effective operation and maintenance that ensures the maximum availability of the energy generation process using offshore facilities and minimal production cost are two key factors to improve the c...
1602.01641
Emeric Gioan
Emeric Gioan, Kevin Sol, G\'erard Subsol
Orientations of Simplices Determined by Orderings on the Coordinates of their Vertices
Full length paper submitted to a journal. A short conference version has been published [5]
null
null
null
cs.DM math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Provided n points in an (n-1)-dimensional affine space, and one ordering of the points for each coordinate, we address the problem of testing whether these orderings determine if the points are the vertices of a simplex (i.e. are affinely independent), regardless of the real values of the coordinates. We also attempt...
[ { "created": "Thu, 4 Feb 2016 11:26:14 GMT", "version": "v1" } ]
2016-02-05
[ [ "Gioan", "Emeric", "" ], [ "Sol", "Kevin", "" ], [ "Subsol", "Gérard", "" ] ]
Provided n points in an (n-1)-dimensional affine space, and one ordering of the points for each coordinate, we address the problem of testing whether these orderings determine if the points are the vertices of a simplex (i.e. are affinely independent), regardless of the real values of the coordinates. We also attempt t...
1607.08821
Sina Sajadmanesh
Sina Sajadmanesh, Hamid R. Rabiee and Ali Khodadadi
Predicting Anchor Links between Heterogeneous Social Networks
To be published in "Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)"
null
10.1109/ASONAM.2016.7752228
null
cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
People usually get involved in multiple social networks to enjoy new services or to fulfill their needs. Many new social networks try to attract users of other existing networks to increase the number of their users. Once a user (called source user) of a social network (called source network) joins a new social netwo...
[ { "created": "Fri, 29 Jul 2016 14:20:52 GMT", "version": "v1" }, { "created": "Mon, 1 Aug 2016 04:45:12 GMT", "version": "v2" } ]
2017-10-04
[ [ "Sajadmanesh", "Sina", "" ], [ "Rabiee", "Hamid R.", "" ], [ "Khodadadi", "Ali", "" ] ]
People usually get involved in multiple social networks to enjoy new services or to fulfill their needs. Many new social networks try to attract users of other existing networks to increase the number of their users. Once a user (called source user) of a social network (called source network) joins a new social network...
2401.06582
Lynnette Hui Xian Ng
Lynnette Hui Xian Ng, Dawn C. Robertson, Kathleen M. Carley
Cyborgs for strategic communication on social media
To appear in Big Data and Society
null
10.1177/20539517241231275
null
cs.SI
http://creativecommons.org/licenses/by-nc-nd/4.0/
Social media platforms are a key ground of information consumption and dissemination. Key figures like politicians, celebrities and activists have leveraged on its wide user base for strategic communication. Strategic communications, or StratCom, is the deliberate act of information creation and distribution. Its tec...
[ { "created": "Fri, 12 Jan 2024 13:57:55 GMT", "version": "v1" } ]
2024-02-23
[ [ "Ng", "Lynnette Hui Xian", "" ], [ "Robertson", "Dawn C.", "" ], [ "Carley", "Kathleen M.", "" ] ]
Social media platforms are a key ground of information consumption and dissemination. Key figures like politicians, celebrities and activists have leveraged on its wide user base for strategic communication. Strategic communications, or StratCom, is the deliberate act of information creation and distribution. Its techn...
2402.16909
Kianoosh Kazemi
Kianoosh Kazemi, Iina Ryht\"a, Iman Azimi, Hannakaisa Niela-Vilen, Anna Axelin, Amir M. Rahmani, Pasi Liljeberg
Impact of Physical Activity on Quality of Life During Pregnancy: A Causal ML Approach
null
null
null
null
cs.LG stat.ME
http://creativecommons.org/licenses/by/4.0/
The concept of Quality of Life (QoL) refers to a holistic measurement of an individual's well-being, incorporating psychological and social aspects. Pregnant women, especially those with obesity and stress, often experience lower QoL. Physical activity (PA) has shown the potential to enhance the QoL. However, pregnan...
[ { "created": "Sun, 25 Feb 2024 12:07:32 GMT", "version": "v1" } ]
2024-02-28
[ [ "Kazemi", "Kianoosh", "" ], [ "Ryhtä", "Iina", "" ], [ "Azimi", "Iman", "" ], [ "Niela-Vilen", "Hannakaisa", "" ], [ "Axelin", "Anna", "" ], [ "Rahmani", "Amir M.", "" ], [ "Liljeberg", "Pasi", "" ] ]
The concept of Quality of Life (QoL) refers to a holistic measurement of an individual's well-being, incorporating psychological and social aspects. Pregnant women, especially those with obesity and stress, often experience lower QoL. Physical activity (PA) has shown the potential to enhance the QoL. However, pregnant ...
2109.12814
Leyang Cui
Leyang Cui, Sen Yang, Yue Zhang
Investigating Non-local Features for Neural Constituency Parsing
ACL 2022
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Thanks to the strong representation power of neural encoders, neural chart-based parsers have achieved highly competitive performance by using local features. Recently, it has been shown that non-local features in CRF structures lead to improvements. In this paper, we investigate injecting non-local features into the...
[ { "created": "Mon, 27 Sep 2021 06:14:30 GMT", "version": "v1" }, { "created": "Mon, 28 Mar 2022 06:43:32 GMT", "version": "v2" } ]
2022-03-29
[ [ "Cui", "Leyang", "" ], [ "Yang", "Sen", "" ], [ "Zhang", "Yue", "" ] ]
Thanks to the strong representation power of neural encoders, neural chart-based parsers have achieved highly competitive performance by using local features. Recently, it has been shown that non-local features in CRF structures lead to improvements. In this paper, we investigate injecting non-local features into the t...
cs/0702057
Salman Beigi
Mohsen Bahramgiri, Salman Beigi
An Efficient Algorithm to Recognize Locally Equivalent Graphs in Non-Binary Case
21 pages, no figures, minor corrections
null
null
null
cs.DS
null
Let $v$ be a vertex of a graph $G$. By the local complementation of $G$ at $v$ we mean to complement the subgraph induced by the neighbors of $v$. This operator can be generalized as follows. Assume that, each edge of $G$ has a label in the finite field $\mathbf{F}_q$. Let $(g_{ij})$ be set of labels ($g_{ij}$ is the...
[ { "created": "Fri, 9 Feb 2007 15:42:46 GMT", "version": "v1" }, { "created": "Sun, 1 Jul 2007 21:01:46 GMT", "version": "v2" } ]
2007-07-02
[ [ "Bahramgiri", "Mohsen", "" ], [ "Beigi", "Salman", "" ] ]
Let $v$ be a vertex of a graph $G$. By the local complementation of $G$ at $v$ we mean to complement the subgraph induced by the neighbors of $v$. This operator can be generalized as follows. Assume that, each edge of $G$ has a label in the finite field $\mathbf{F}_q$. Let $(g_{ij})$ be set of labels ($g_{ij}$ is the l...
2406.05027
Jamie Lohoff
Jamie Lohoff and Emre Neftci
Optimizing Automatic Differentiation with Deep Reinforcement Learning
null
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
Computing Jacobians with automatic differentiation is ubiquitous in many scientific domains such as machine learning, computational fluid dynamics, robotics and finance. Even small savings in the number of computations or memory usage in Jacobian computations can already incur massive savings in energy consumption an...
[ { "created": "Fri, 7 Jun 2024 15:44:33 GMT", "version": "v1" }, { "created": "Mon, 17 Jun 2024 00:54:09 GMT", "version": "v2" } ]
2024-06-18
[ [ "Lohoff", "Jamie", "" ], [ "Neftci", "Emre", "" ] ]
Computing Jacobians with automatic differentiation is ubiquitous in many scientific domains such as machine learning, computational fluid dynamics, robotics and finance. Even small savings in the number of computations or memory usage in Jacobian computations can already incur massive savings in energy consumption and ...
2208.08255
Ashraf Tantawy
Ashraf Tantawy
On the Elements of Datasets for Cyber Physical Systems Security
Submitted for peer review
null
null
null
cs.CR cs.AI cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Datasets are essential to apply AI algorithms to Cyber Physical System (CPS) Security. Due to scarcity of real CPS datasets, researchers elected to generate their own datasets using either real or virtualized testbeds. However, unlike other AI domains, a CPS is a complex system with many interfaces that determine its...
[ { "created": "Wed, 17 Aug 2022 12:20:57 GMT", "version": "v1" } ]
2022-08-18
[ [ "Tantawy", "Ashraf", "" ] ]
Datasets are essential to apply AI algorithms to Cyber Physical System (CPS) Security. Due to scarcity of real CPS datasets, researchers elected to generate their own datasets using either real or virtualized testbeds. However, unlike other AI domains, a CPS is a complex system with many interfaces that determine its b...
1901.04846
Felix M. Riese
Felix M. Riese, Sina Keller
Soil Texture Classification with 1D Convolutional Neural Networks based on Hyperspectral Data
Accepted to the ISPRS Geospatial Week 2019 in Enschede (NL)
null
10.5194/isprs-annals-IV-2-W5-615-2019
null
cs.CV cs.LG physics.geo-ph stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Soil texture is important for many environmental processes. In this paper, we study the classification of soil texture based on hyperspectral data. We develop and implement three 1-dimensional (1D) convolutional neural networks (CNN): the LucasCNN, the LucasResNet which contains an identity block as residual network,...
[ { "created": "Tue, 15 Jan 2019 14:29:04 GMT", "version": "v1" }, { "created": "Tue, 19 Mar 2019 16:14:04 GMT", "version": "v2" }, { "created": "Sat, 30 Mar 2019 13:57:12 GMT", "version": "v3" } ]
2019-07-02
[ [ "Riese", "Felix M.", "" ], [ "Keller", "Sina", "" ] ]
Soil texture is important for many environmental processes. In this paper, we study the classification of soil texture based on hyperspectral data. We develop and implement three 1-dimensional (1D) convolutional neural networks (CNN): the LucasCNN, the LucasResNet which contains an identity block as residual network, a...
2211.08799
Eyad Kannout
Eyad Kannout, Hung Son Nguyen, Marek Grzegorowski
Speeding Up Recommender Systems Using Association Rules
13 pages, 3 figures, 1 table, 14th Asian Conference on Intelligent Information and Database Systems (ACIIDS)
null
10.1007/978-3-031-21967-2_14
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recommender systems are considered one of the most rapidly growing branches of Artificial Intelligence. The demand for finding more efficient techniques to generate recommendations becomes urgent. However, many recommendations become useless if there is a delay in generating and showing them to the user. Therefore, w...
[ { "created": "Wed, 16 Nov 2022 09:55:15 GMT", "version": "v1" } ]
2022-11-17
[ [ "Kannout", "Eyad", "" ], [ "Nguyen", "Hung Son", "" ], [ "Grzegorowski", "Marek", "" ] ]
Recommender systems are considered one of the most rapidly growing branches of Artificial Intelligence. The demand for finding more efficient techniques to generate recommendations becomes urgent. However, many recommendations become useless if there is a delay in generating and showing them to the user. Therefore, we ...
2210.10771
Martin Engilberge
Martin Engilberge, Weizhe Liu, Pascal Fua
Multi-view Tracking Using Weakly Supervised Human Motion Prediction
Accepted at WACV 2023
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
Multi-view approaches to people-tracking have the potential to better handle occlusions than single-view ones in crowded scenes. They often rely on the tracking-by-detection paradigm, which involves detecting people first and then connecting the detections. In this paper, we argue that an even more effective approach...
[ { "created": "Wed, 19 Oct 2022 17:58:23 GMT", "version": "v1" } ]
2022-10-20
[ [ "Engilberge", "Martin", "" ], [ "Liu", "Weizhe", "" ], [ "Fua", "Pascal", "" ] ]
Multi-view approaches to people-tracking have the potential to better handle occlusions than single-view ones in crowded scenes. They often rely on the tracking-by-detection paradigm, which involves detecting people first and then connecting the detections. In this paper, we argue that an even more effective approach i...
1911.04058
Yiming Xu
Yiming Xu, Lin Chen, Zhongwei Cheng, Lixin Duan, Jiebo Luo
Open-Ended Visual Question Answering by Multi-Modal Domain Adaptation
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the problem of visual question answering (VQA) in images by exploiting supervised domain adaptation, where there is a large amount of labeled data in the source domain but only limited labeled data in the target domain with the goal to train a good target model. A straightforward solution is to fine-tune a p...
[ { "created": "Mon, 11 Nov 2019 03:26:58 GMT", "version": "v1" } ]
2019-11-12
[ [ "Xu", "Yiming", "" ], [ "Chen", "Lin", "" ], [ "Cheng", "Zhongwei", "" ], [ "Duan", "Lixin", "" ], [ "Luo", "Jiebo", "" ] ]
We study the problem of visual question answering (VQA) in images by exploiting supervised domain adaptation, where there is a large amount of labeled data in the source domain but only limited labeled data in the target domain with the goal to train a good target model. A straightforward solution is to fine-tune a pre...
2207.06400
Hongwen Zhang
Hongwen Zhang, Yating Tian, Yuxiang Zhang, Mengcheng Li, Liang An, Zhenan Sun, Yebin Liu
PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular Images
Accepted to IEEE TPAMI, Project page: https://www.liuyebin.com/pymaf-x, An eXpressive extension of PyMAF [arXiv:2103.16507] for monocular human/hand/face/full-body mesh recovery
null
10.1109/TPAMI.2023.3271691
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present PyMAF-X, a regression-based approach to recovering parametric full-body models from monocular images. This task is very challenging since minor parametric deviation may lead to noticeable misalignment between the estimated mesh and the input image. Moreover, when integrating part-specific estimations into ...
[ { "created": "Wed, 13 Jul 2022 17:58:33 GMT", "version": "v1" }, { "created": "Mon, 18 Jul 2022 17:41:15 GMT", "version": "v2" }, { "created": "Fri, 28 Apr 2023 02:33:10 GMT", "version": "v3" } ]
2023-05-01
[ [ "Zhang", "Hongwen", "" ], [ "Tian", "Yating", "" ], [ "Zhang", "Yuxiang", "" ], [ "Li", "Mengcheng", "" ], [ "An", "Liang", "" ], [ "Sun", "Zhenan", "" ], [ "Liu", "Yebin", "" ] ]
We present PyMAF-X, a regression-based approach to recovering parametric full-body models from monocular images. This task is very challenging since minor parametric deviation may lead to noticeable misalignment between the estimated mesh and the input image. Moreover, when integrating part-specific estimations into th...
2406.10829
Yuxi Liu
Yuxi Liu and Mingyu Xiao
Solving Co-Path/Cycle Packing Faster than $3^k$
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The \textsc{Co-Path/Cycle Packing} problem asks whether we can delete at most $k$ vertices from the input graph such that the remaining graph is a collection of induced paths and cycles. \textsc{Co-Path/Cycle Packing} is a fundamental graph problem that has important applications in bioinformatics. Although this prob...
[ { "created": "Sun, 16 Jun 2024 07:45:14 GMT", "version": "v1" } ]
2024-06-18
[ [ "Liu", "Yuxi", "" ], [ "Xiao", "Mingyu", "" ] ]
The \textsc{Co-Path/Cycle Packing} problem asks whether we can delete at most $k$ vertices from the input graph such that the remaining graph is a collection of induced paths and cycles. \textsc{Co-Path/Cycle Packing} is a fundamental graph problem that has important applications in bioinformatics. Although this proble...
1807.04912
Francisco Silva
Francisco Silva, Mikel Sanz, Jo\~ao Seixas, Enrique Solano, and Yasser Omar
Perceptrons from Memristors
Added new result on universality of memristors, minor changes in the introduction and algorithm, references updated
Neural Networks, Volume 122, 273-278 (2020)
10.1016/j.neunet.2019.10.013
null
cs.ET cs.NE quant-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Memristors, resistors with memory whose outputs depend on the history of their inputs, have been used with success in neuromorphic architectures, particularly as synapses and non-volatile memories. However, to the best of our knowledge, no model for a network in which both the synapses and the neurons are implemented...
[ { "created": "Fri, 13 Jul 2018 04:54:29 GMT", "version": "v1" }, { "created": "Wed, 26 Dec 2018 11:07:41 GMT", "version": "v2" } ]
2020-01-14
[ [ "Silva", "Francisco", "" ], [ "Sanz", "Mikel", "" ], [ "Seixas", "João", "" ], [ "Solano", "Enrique", "" ], [ "Omar", "Yasser", "" ] ]
Memristors, resistors with memory whose outputs depend on the history of their inputs, have been used with success in neuromorphic architectures, particularly as synapses and non-volatile memories. However, to the best of our knowledge, no model for a network in which both the synapses and the neurons are implemented u...
2208.11857
Mengnan Du
Mengnan Du, Fengxiang He, Na Zou, Dacheng Tao and Xia Hu
Shortcut Learning of Large Language Models in Natural Language Understanding
Accepted by Communications of the ACM (CACM), Review Article
null
null
null
cs.CL cs.LG
http://creativecommons.org/licenses/by/4.0/
Large language models (LLMs) have achieved state-of-the-art performance on a series of natural language understanding tasks. However, these LLMs might rely on dataset bias and artifacts as shortcuts for prediction. This has significantly affected their generalizability and adversarial robustness. In this paper, we pr...
[ { "created": "Thu, 25 Aug 2022 03:51:39 GMT", "version": "v1" }, { "created": "Sun, 7 May 2023 23:55:09 GMT", "version": "v2" } ]
2023-05-09
[ [ "Du", "Mengnan", "" ], [ "He", "Fengxiang", "" ], [ "Zou", "Na", "" ], [ "Tao", "Dacheng", "" ], [ "Hu", "Xia", "" ] ]
Large language models (LLMs) have achieved state-of-the-art performance on a series of natural language understanding tasks. However, these LLMs might rely on dataset bias and artifacts as shortcuts for prediction. This has significantly affected their generalizability and adversarial robustness. In this paper, we prov...
1505.05643
Johann Prankl
Aitor Aldoma, Johann Prankl, Alexander Svejda and Markus Vincze
Object Modelling with a Handheld RGB-D Camera
Presented at OAGM Workshop, 2015 (arXiv:1505.01065)
null
null
OAGM/2015/08
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This work presents a flexible system to reconstruct 3D models of objects captured with an RGB-D sensor. A major advantage of the method is that our reconstruction pipeline allows the user to acquire a full 3D model of the object. This is achieved by acquiring several partial 3D models in different sessions that are a...
[ { "created": "Thu, 21 May 2015 08:24:21 GMT", "version": "v1" } ]
2015-05-22
[ [ "Aldoma", "Aitor", "" ], [ "Prankl", "Johann", "" ], [ "Svejda", "Alexander", "" ], [ "Vincze", "Markus", "" ] ]
This work presents a flexible system to reconstruct 3D models of objects captured with an RGB-D sensor. A major advantage of the method is that our reconstruction pipeline allows the user to acquire a full 3D model of the object. This is achieved by acquiring several partial 3D models in different sessions that are aut...
2210.04013
Jichen Sun
Shuyuan Zhang, Jichen Sun, Shengkang Chen
Constrained Optimal Querying: Huffman Coding and Beyond
null
null
null
null
cs.IT math.IT
http://creativecommons.org/licenses/by-sa/4.0/
Huffman coding is well known to be useful in certain decision problems involving minimizing the average number of (freely chosen) queries to determine an unknown random variable. However, in problems where the queries are more constrained, the original Huffman coding no longer works. In this paper, we proposed a gene...
[ { "created": "Sat, 8 Oct 2022 12:54:00 GMT", "version": "v1" } ]
2022-10-11
[ [ "Zhang", "Shuyuan", "" ], [ "Sun", "Jichen", "" ], [ "Chen", "Shengkang", "" ] ]
Huffman coding is well known to be useful in certain decision problems involving minimizing the average number of (freely chosen) queries to determine an unknown random variable. However, in problems where the queries are more constrained, the original Huffman coding no longer works. In this paper, we proposed a genera...
1807.11419
Tselil Schramm
Prasad Raghavendra, Tselil Schramm, David Steurer
High-dimensional estimation via sum-of-squares proofs
null
null
null
null
cs.DS cs.CC cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Estimation is the computational task of recovering a hidden parameter $x$ associated with a distribution $D_x$, given a measurement $y$ sampled from the distribution. High dimensional estimation problems arise naturally in statistics, machine learning, and complexity theory. Many high dimensional estimation problem...
[ { "created": "Mon, 30 Jul 2018 16:13:57 GMT", "version": "v1" }, { "created": "Tue, 6 Aug 2019 00:56:07 GMT", "version": "v2" } ]
2019-08-07
[ [ "Raghavendra", "Prasad", "" ], [ "Schramm", "Tselil", "" ], [ "Steurer", "David", "" ] ]
Estimation is the computational task of recovering a hidden parameter $x$ associated with a distribution $D_x$, given a measurement $y$ sampled from the distribution. High dimensional estimation problems arise naturally in statistics, machine learning, and complexity theory. Many high dimensional estimation problems ca...
2007.10300
Or Litany
Shubham Tulsiani, Or Litany, Charles R. Qi, He Wang, Leonidas J. Guibas
Object-Centric Multi-View Aggregation
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present an approach for aggregating a sparse set of views of an object in order to compute a semi-implicit 3D representation in the form of a volumetric feature grid. Key to our approach is an object-centric canonical 3D coordinate system into which views can be lifted, without explicit camera pose estimation, and...
[ { "created": "Mon, 20 Jul 2020 17:38:31 GMT", "version": "v1" }, { "created": "Tue, 21 Jul 2020 05:17:19 GMT", "version": "v2" } ]
2020-07-22
[ [ "Tulsiani", "Shubham", "" ], [ "Litany", "Or", "" ], [ "Qi", "Charles R.", "" ], [ "Wang", "He", "" ], [ "Guibas", "Leonidas J.", "" ] ]
We present an approach for aggregating a sparse set of views of an object in order to compute a semi-implicit 3D representation in the form of a volumetric feature grid. Key to our approach is an object-centric canonical 3D coordinate system into which views can be lifted, without explicit camera pose estimation, and t...
1907.12501
Matthias Knorr
Matti Berthold, Ricardo Gon\c{c}alves, Matthias Knorr, Jo\~ao Leite
A Syntactic Operator for Forgetting that Satisfies Strong Persistence
Paper presented at the 35th International Conference on Logic Programming (ICLP 2019), Las Cruces, New Mexico, USA, 20-25 September 2019, 16 pages
Theory and Practice of Logic Programming 19 (2019) 1038-1055
10.1017/S1471068419000346
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Whereas the operation of forgetting has recently seen a considerable amount of attention in the context of Answer Set Programming (ASP), most of it has focused on theoretical aspects, leaving the practical issues largely untouched. Recent studies include results about what sets of properties operators should satisfy,...
[ { "created": "Mon, 29 Jul 2019 16:03:48 GMT", "version": "v1" }, { "created": "Wed, 31 Jul 2019 11:32:06 GMT", "version": "v2" } ]
2020-02-19
[ [ "Berthold", "Matti", "" ], [ "Gonçalves", "Ricardo", "" ], [ "Knorr", "Matthias", "" ], [ "Leite", "João", "" ] ]
Whereas the operation of forgetting has recently seen a considerable amount of attention in the context of Answer Set Programming (ASP), most of it has focused on theoretical aspects, leaving the practical issues largely untouched. Recent studies include results about what sets of properties operators should satisfy, a...
2310.13291
Ruixiang Tang
Ruixiang Tang, Gord Lueck, Rodolfo Quispe, Huseyin A Inan, Janardhan Kulkarni, Xia Hu
Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks
null
null
null
null
cs.CL cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large language models have revolutionized the field of NLP by achieving state-of-the-art performance on various tasks. However, there is a concern that these models may disclose information in the training data. In this study, we focus on the summarization task and investigate the membership inference (MI) attack: gi...
[ { "created": "Fri, 20 Oct 2023 05:44:39 GMT", "version": "v1" } ]
2023-10-23
[ [ "Tang", "Ruixiang", "" ], [ "Lueck", "Gord", "" ], [ "Quispe", "Rodolfo", "" ], [ "Inan", "Huseyin A", "" ], [ "Kulkarni", "Janardhan", "" ], [ "Hu", "Xia", "" ] ]
Large language models have revolutionized the field of NLP by achieving state-of-the-art performance on various tasks. However, there is a concern that these models may disclose information in the training data. In this study, we focus on the summarization task and investigate the membership inference (MI) attack: give...
2311.10389
Wenhao Wang
Wenhao Wang, Guyue Li, Zhiming Chu, Haobo Li and Daniele Faccio
Two-Factor Authentication Approach Based on Behavior Patterns for Defeating Puppet Attacks
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Fingerprint traits are widely recognized for their unique qualities and security benefits. Despite their extensive use, fingerprint features can be vulnerable to puppet attacks, where attackers manipulate a reluctant but genuine user into completing the authentication process. Defending against such attacks is challe...
[ { "created": "Fri, 17 Nov 2023 08:35:02 GMT", "version": "v1" } ]
2023-11-20
[ [ "Wang", "Wenhao", "" ], [ "Li", "Guyue", "" ], [ "Chu", "Zhiming", "" ], [ "Li", "Haobo", "" ], [ "Faccio", "Daniele", "" ] ]
Fingerprint traits are widely recognized for their unique qualities and security benefits. Despite their extensive use, fingerprint features can be vulnerable to puppet attacks, where attackers manipulate a reluctant but genuine user into completing the authentication process. Defending against such attacks is challeng...
cs/9311102
null
J. C. Schlimmer, L. A. Hermens
Software Agents: Completing Patterns and Constructing User Interfaces
See http://www.jair.org/ for an online appendix and other files accompanying this article
Journal of Artificial Intelligence Research, Vol 1, (1993), 61-89
null
null
cs.AI
null
To support the goal of allowing users to record and retrieve information, this paper describes an interactive note-taking system for pen-based computers with two distinctive features. First, it actively predicts what the user is going to write. Second, it automatically constructs a custom, button-box user interface o...
[ { "created": "Mon, 1 Nov 1993 00:00:00 GMT", "version": "v1" } ]
2009-09-25
[ [ "Schlimmer", "J. C.", "" ], [ "Hermens", "L. A.", "" ] ]
To support the goal of allowing users to record and retrieve information, this paper describes an interactive note-taking system for pen-based computers with two distinctive features. First, it actively predicts what the user is going to write. Second, it automatically constructs a custom, button-box user interface on ...
2012.12472
Howard H. Yang
Howard H. Yang, Chao Xu, Xijun Wang, Daquan Feng, and Tony Q. S. Quek
Understanding Age of Information in Large-Scale Wireless Networks
null
null
null
null
cs.IT cs.SY eess.SY math.IT
http://creativecommons.org/licenses/by/4.0/
The notion of age-of-information (AoI) is investigated in the context of large-scale wireless networks, in which transmitters need to send a sequence of information packets, which are generated as independent Bernoulli processes, to their intended receivers over a shared spectrum. Due to interference, the rate of pac...
[ { "created": "Wed, 23 Dec 2020 03:57:50 GMT", "version": "v1" } ]
2020-12-24
[ [ "Yang", "Howard H.", "" ], [ "Xu", "Chao", "" ], [ "Wang", "Xijun", "" ], [ "Feng", "Daquan", "" ], [ "Quek", "Tony Q. S.", "" ] ]
The notion of age-of-information (AoI) is investigated in the context of large-scale wireless networks, in which transmitters need to send a sequence of information packets, which are generated as independent Bernoulli processes, to their intended receivers over a shared spectrum. Due to interference, the rate of packe...
2305.06951
Viet-Man Le
Viet-Man Le, Cristian Vidal Silva, Alexander Felfernig, David Benavides, Jos\'e Galindo, Thi Ngoc Trang Tran
FastDiagP: An Algorithm for Parallelized Direct Diagnosis
presented at The 37th AAAI Conference on Artificial Intelligence, AAAI'23, Washington DC, USA
null
10.1609/aaai.v37i5.25792
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Constraint-based applications attempt to identify a solution that meets all defined user requirements. If the requirements are inconsistent with the underlying constraint set, algorithms that compute diagnoses for inconsistent constraints should be implemented to help users resolve the "no solution could be found" di...
[ { "created": "Thu, 11 May 2023 16:26:23 GMT", "version": "v1" } ]
2023-08-15
[ [ "Le", "Viet-Man", "" ], [ "Silva", "Cristian Vidal", "" ], [ "Felfernig", "Alexander", "" ], [ "Benavides", "David", "" ], [ "Galindo", "José", "" ], [ "Tran", "Thi Ngoc Trang", "" ] ]
Constraint-based applications attempt to identify a solution that meets all defined user requirements. If the requirements are inconsistent with the underlying constraint set, algorithms that compute diagnoses for inconsistent constraints should be implemented to help users resolve the "no solution could be found" dile...
1207.1700
Nadeem Javaid
Z. A. Khan, N. Javaid, M. H. Arshad, A. Bibi, B. Qasim
Performance Evaluation of Widely used Portknoking Algorithms
3rd WNM in conjunction with 14th HPCC-2012, Liverpool, UK
null
null
null
cs.NI cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Port knocking is a technique by which only a single packet or special sequence will permit the firewall to open a port on a machine where all ports are blocked by default. It is a passive authorization technique which offers firewall-level authentication to ensure authorized access to potentially vulnerable network s...
[ { "created": "Fri, 6 Jul 2012 18:12:08 GMT", "version": "v1" } ]
2012-07-09
[ [ "Khan", "Z. A.", "" ], [ "Javaid", "N.", "" ], [ "Arshad", "M. H.", "" ], [ "Bibi", "A.", "" ], [ "Qasim", "B.", "" ] ]
Port knocking is a technique by which only a single packet or special sequence will permit the firewall to open a port on a machine where all ports are blocked by default. It is a passive authorization technique which offers firewall-level authentication to ensure authorized access to potentially vulnerable network ser...
1903.05625
Tim Meinhardt
Philipp Bergmann, Tim Meinhardt, Laura Leal-Taixe
Tracking without bells and whistles
null
null
10.1109/ICCV.2019.00103
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The problem of tracking multiple objects in a video sequence poses several challenging tasks. For tracking-by-detection, these include object re-identification, motion prediction and dealing with occlusions. We present a tracker (without bells and whistles) that accomplishes tracking without specifically targeting an...
[ { "created": "Wed, 13 Mar 2019 17:45:49 GMT", "version": "v1" }, { "created": "Wed, 10 Apr 2019 15:33:57 GMT", "version": "v2" }, { "created": "Sat, 17 Aug 2019 14:40:56 GMT", "version": "v3" } ]
2021-04-30
[ [ "Bergmann", "Philipp", "" ], [ "Meinhardt", "Tim", "" ], [ "Leal-Taixe", "Laura", "" ] ]
The problem of tracking multiple objects in a video sequence poses several challenging tasks. For tracking-by-detection, these include object re-identification, motion prediction and dealing with occlusions. We present a tracker (without bells and whistles) that accomplishes tracking without specifically targeting any ...
1705.10281
Haichuan Ding
Haichuan Ding, Chi Zhang, Xuanheng Li, Jianqing Liu, Miao Pan, Yuguang Fang, Shigang Chen
Session-Based Cooperation in Cognitive Radio Networks: A Network-Level Approach
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In cognitive radio networks (CRNs), secondary users (SUs) can proactively obtain spectrum access opportunities by helping with primary users' (PUs') data transmissions. Currently, such kind of spectrum access is implemented via a cooperative communications based link-level frame-based cooperative (LLC) approach where...
[ { "created": "Mon, 29 May 2017 16:27:12 GMT", "version": "v1" } ]
2017-05-30
[ [ "Ding", "Haichuan", "" ], [ "Zhang", "Chi", "" ], [ "Li", "Xuanheng", "" ], [ "Liu", "Jianqing", "" ], [ "Pan", "Miao", "" ], [ "Fang", "Yuguang", "" ], [ "Chen", "Shigang", "" ] ]
In cognitive radio networks (CRNs), secondary users (SUs) can proactively obtain spectrum access opportunities by helping with primary users' (PUs') data transmissions. Currently, such kind of spectrum access is implemented via a cooperative communications based link-level frame-based cooperative (LLC) approach where i...