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1905.01326
Dominik Kulon
Dominik Kulon, Haoyang Wang, Riza Alp G\"uler, Michael Bronstein, Stefanos Zafeiriou
Single Image 3D Hand Reconstruction with Mesh Convolutions
Proceedings of the British Machine Vision Conference (BMVC 2019)
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Monocular 3D reconstruction of deformable objects, such as human body parts, has been typically approached by predicting parameters of heavyweight linear models. In this paper, we demonstrate an alternative solution that is based on the idea of encoding images into a latent non-linear representation of meshes. The pr...
[ { "created": "Sat, 4 May 2019 20:41:47 GMT", "version": "v1" }, { "created": "Mon, 13 May 2019 23:37:19 GMT", "version": "v2" }, { "created": "Mon, 5 Aug 2019 12:07:34 GMT", "version": "v3" } ]
2019-08-06
[ [ "Kulon", "Dominik", "" ], [ "Wang", "Haoyang", "" ], [ "Güler", "Riza Alp", "" ], [ "Bronstein", "Michael", "" ], [ "Zafeiriou", "Stefanos", "" ] ]
Monocular 3D reconstruction of deformable objects, such as human body parts, has been typically approached by predicting parameters of heavyweight linear models. In this paper, we demonstrate an alternative solution that is based on the idea of encoding images into a latent non-linear representation of meshes. The prio...
2305.17489
Zhongping Zhang
Zhongping Zhang, Jian Zheng, Jacob Zhiyuan Fang, Bryan A. Plummer
Text-to-image Editing by Image Information Removal
Full paper is accepted by WACV2024; Best paper runner-up of AI4CC@CVPR 2023
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Diffusion models have demonstrated impressive performance in text-guided image generation. Current methods that leverage the knowledge of these models for image editing either fine-tune them using the input image (e.g., Imagic) or incorporate structure information as additional constraints (e.g., ControlNet). However...
[ { "created": "Sat, 27 May 2023 14:48:05 GMT", "version": "v1" }, { "created": "Tue, 7 Nov 2023 19:22:36 GMT", "version": "v2" } ]
2023-11-09
[ [ "Zhang", "Zhongping", "" ], [ "Zheng", "Jian", "" ], [ "Fang", "Jacob Zhiyuan", "" ], [ "Plummer", "Bryan A.", "" ] ]
Diffusion models have demonstrated impressive performance in text-guided image generation. Current methods that leverage the knowledge of these models for image editing either fine-tune them using the input image (e.g., Imagic) or incorporate structure information as additional constraints (e.g., ControlNet). However, ...
1911.09427
Guy Shalev
Guy Shalev, Ran El-Yaniv, Daniel Klotz, Frederik Kratzert, Asher Metzger, Sella Nevo
Accurate Hydrologic Modeling Using Less Information
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Joint models are a common and important tool in the intersection of machine learning and the physical sciences, particularly in contexts where real-world measurements are scarce. Recent developments in rainfall-runoff modeling, one of the prime challenges in hydrology, show the value of a joint model with shared repr...
[ { "created": "Thu, 21 Nov 2019 12:01:19 GMT", "version": "v1" } ]
2019-11-22
[ [ "Shalev", "Guy", "" ], [ "El-Yaniv", "Ran", "" ], [ "Klotz", "Daniel", "" ], [ "Kratzert", "Frederik", "" ], [ "Metzger", "Asher", "" ], [ "Nevo", "Sella", "" ] ]
Joint models are a common and important tool in the intersection of machine learning and the physical sciences, particularly in contexts where real-world measurements are scarce. Recent developments in rainfall-runoff modeling, one of the prime challenges in hydrology, show the value of a joint model with shared repres...
2306.09389
Junjun Yan
Junjun Yan, Xinhai Chen, Zhichao Wang, Enqiang Zhoui and Jie Liu
ST-PINN: A Self-Training Physics-Informed Neural Network for Partial Differential Equations
null
null
null
null
cs.LG cs.AI physics.comp-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Partial differential equations (PDEs) are an essential computational kernel in physics and engineering. With the advance of deep learning, physics-informed neural networks (PINNs), as a mesh-free method, have shown great potential for fast PDE solving in various applications. To address the issue of low accuracy and ...
[ { "created": "Thu, 15 Jun 2023 15:49:13 GMT", "version": "v1" } ]
2023-06-19
[ [ "Yan", "Junjun", "" ], [ "Chen", "Xinhai", "" ], [ "Wang", "Zhichao", "" ], [ "Zhoui", "Enqiang", "" ], [ "Liu", "Jie", "" ] ]
Partial differential equations (PDEs) are an essential computational kernel in physics and engineering. With the advance of deep learning, physics-informed neural networks (PINNs), as a mesh-free method, have shown great potential for fast PDE solving in various applications. To address the issue of low accuracy and co...
1906.03380
Sarah Wiegreffe
Sarah Wiegreffe, Edward Choi, Sherry Yan, Jimeng Sun, Jacob Eisenstein
Clinical Concept Extraction for Document-Level Coding
ACL BioNLP workshop (2019)
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The text of clinical notes can be a valuable source of patient information and clinical assessments. Historically, the primary approach for exploiting clinical notes has been information extraction: linking spans of text to concepts in a detailed domain ontology. However, recent work has demonstrated the potential of...
[ { "created": "Sat, 8 Jun 2019 03:32:00 GMT", "version": "v1" } ]
2019-06-11
[ [ "Wiegreffe", "Sarah", "" ], [ "Choi", "Edward", "" ], [ "Yan", "Sherry", "" ], [ "Sun", "Jimeng", "" ], [ "Eisenstein", "Jacob", "" ] ]
The text of clinical notes can be a valuable source of patient information and clinical assessments. Historically, the primary approach for exploiting clinical notes has been information extraction: linking spans of text to concepts in a detailed domain ontology. However, recent work has demonstrated the potential of s...
1908.11366
Karim Banawan
Karim Banawan and Batuhan Arasli and Sennur Ulukus
Improved Storage for Efficient Private Information Retrieval
ITW 2019
null
null
null
cs.IT cs.CR cs.DB math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the problem of private information retrieval from $N$ \emph{storage-constrained} databases. In this problem, a user wishes to retrieve a single message out of $M$ messages (of size $L$) without revealing any information about the identity of the message to individual databases. Each database stores $\mu M...
[ { "created": "Thu, 29 Aug 2019 17:52:01 GMT", "version": "v1" } ]
2019-08-30
[ [ "Banawan", "Karim", "" ], [ "Arasli", "Batuhan", "" ], [ "Ulukus", "Sennur", "" ] ]
We consider the problem of private information retrieval from $N$ \emph{storage-constrained} databases. In this problem, a user wishes to retrieve a single message out of $M$ messages (of size $L$) without revealing any information about the identity of the message to individual databases. Each database stores $\mu ML$...
0705.3360
Kyriakos Sgarbas
Kyriakos N. Sgarbas
The Road to Quantum Artificial Intelligence
9 pages. Presented at PCI-2007: 11th Panhellenic Conference in Informatics, 18-20 May 2007, Patras, Greece
In: T.S.Papatheodorou, D.N.Christodoulakis and N.N.Karanikolas (eds), "Current Trends in Informatics", Vol.A, pp.469-477, New Technologies Publications, Athens, 2007 (SET 978-960-89784-0-9)
null
null
cs.AI
null
This paper overviews the basic principles and recent advances in the emerging field of Quantum Computation (QC), highlighting its potential application to Artificial Intelligence (AI). The paper provides a very brief introduction to basic QC issues like quantum registers, quantum gates and quantum algorithms and then...
[ { "created": "Wed, 23 May 2007 12:31:47 GMT", "version": "v1" } ]
2007-05-24
[ [ "Sgarbas", "Kyriakos N.", "" ] ]
This paper overviews the basic principles and recent advances in the emerging field of Quantum Computation (QC), highlighting its potential application to Artificial Intelligence (AI). The paper provides a very brief introduction to basic QC issues like quantum registers, quantum gates and quantum algorithms and then i...
2308.14272
Jennifer Hsia
Jennifer Hsia, Danish Pruthi, Aarti Singh, Zachary C. Lipton
Goodhart's Law Applies to NLP's Explanation Benchmarks
null
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Despite the rising popularity of saliency-based explanations, the research community remains at an impasse, facing doubts concerning their purpose, efficacy, and tendency to contradict each other. Seeking to unite the community's efforts around common goals, several recent works have proposed evaluation metrics. In t...
[ { "created": "Mon, 28 Aug 2023 03:03:03 GMT", "version": "v1" } ]
2023-08-29
[ [ "Hsia", "Jennifer", "" ], [ "Pruthi", "Danish", "" ], [ "Singh", "Aarti", "" ], [ "Lipton", "Zachary C.", "" ] ]
Despite the rising popularity of saliency-based explanations, the research community remains at an impasse, facing doubts concerning their purpose, efficacy, and tendency to contradict each other. Seeking to unite the community's efforts around common goals, several recent works have proposed evaluation metrics. In thi...
2405.18296
Anchit Jain
Anchit Jain, Rozhin Nobahari, Aristide Baratin, Stefano Sarao Mannelli
Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training
null
null
null
null
cs.LG cond-mat.dis-nn stat.ML
http://creativecommons.org/licenses/by/4.0/
Machine learning systems often acquire biases by leveraging undesired features in the data, impacting accuracy variably across different sub-populations. Current understanding of bias formation mostly focuses on the initial and final stages of learning, leaving a gap in knowledge regarding the transient dynamics. To ...
[ { "created": "Tue, 28 May 2024 15:50:10 GMT", "version": "v1" } ]
2024-05-29
[ [ "Jain", "Anchit", "" ], [ "Nobahari", "Rozhin", "" ], [ "Baratin", "Aristide", "" ], [ "Mannelli", "Stefano Sarao", "" ] ]
Machine learning systems often acquire biases by leveraging undesired features in the data, impacting accuracy variably across different sub-populations. Current understanding of bias formation mostly focuses on the initial and final stages of learning, leaving a gap in knowledge regarding the transient dynamics. To ad...
2012.00548
Xinyu Gao
Xinyu Gao, Yuanwei Liu, Xiao Liu and Zhijin Qin
Resource Allocation in IRSs Aided MISO-NOMA Networks: A Machine Learning Approach
6 pages, 5 figures. It will be published in IEEE Global Communications Conference (GC) 2020
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A novel framework of intelligent reflecting surface (IRS)-aided multiple-input single-output (MISO) non-orthogonal multiple access (NOMA) network is proposed, where a base station (BS) serves multiple clusters with unfixed number of users in each cluster. The goal is to maximize the sum rate of all users by jointly o...
[ { "created": "Wed, 18 Nov 2020 12:36:24 GMT", "version": "v1" } ]
2020-12-02
[ [ "Gao", "Xinyu", "" ], [ "Liu", "Yuanwei", "" ], [ "Liu", "Xiao", "" ], [ "Qin", "Zhijin", "" ] ]
A novel framework of intelligent reflecting surface (IRS)-aided multiple-input single-output (MISO) non-orthogonal multiple access (NOMA) network is proposed, where a base station (BS) serves multiple clusters with unfixed number of users in each cluster. The goal is to maximize the sum rate of all users by jointly opt...
1911.07234
Ali \c{C}ivril
Ali \c{C}ivril
Approximation of Steiner Forest via the Bidirected Cut Relaxation
15 pages, 5 figures
Journal of Combinatorial Optimization, 38(4):1196-1212, 2019
10.1007/s10878-019-00444-8
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The classical algorithm of Agrawal, Klein and Ravi [SIAM J. Comput., 24 (1995), pp. 440-456], stated in the setting of the primal-dual schema by Goemans and Williamson [SIAM J. Comput., 24 (1995), pp. 296-317] uses the undirected cut relaxation for the Steiner forest problem. Its approximation ratio is $2-\frac{1}{k}...
[ { "created": "Sun, 17 Nov 2019 13:34:00 GMT", "version": "v1" } ]
2019-11-19
[ [ "Çivril", "Ali", "" ] ]
The classical algorithm of Agrawal, Klein and Ravi [SIAM J. Comput., 24 (1995), pp. 440-456], stated in the setting of the primal-dual schema by Goemans and Williamson [SIAM J. Comput., 24 (1995), pp. 296-317] uses the undirected cut relaxation for the Steiner forest problem. Its approximation ratio is $2-\frac{1}{k}$,...
2405.00879
Xiao Li
Xiao Li and Qian Gong and Jaemoon Lee and Scott Klasky and Anand Rangarajan and Sanjay Ranka
Machine Learning Techniques for Data Reduction of Climate Applications
7 pages. arXiv admin note: text overlap with arXiv:2404.18063
null
null
null
cs.LG physics.ao-ph
http://creativecommons.org/licenses/by/4.0/
Scientists conduct large-scale simulations to compute derived quantities-of-interest (QoI) from primary data. Often, QoI are linked to specific features, regions, or time intervals, such that data can be adaptively reduced without compromising the integrity of QoI. For many spatiotemporal applications, these QoI are ...
[ { "created": "Wed, 1 May 2024 21:44:47 GMT", "version": "v1" } ]
2024-05-03
[ [ "Li", "Xiao", "" ], [ "Gong", "Qian", "" ], [ "Lee", "Jaemoon", "" ], [ "Klasky", "Scott", "" ], [ "Rangarajan", "Anand", "" ], [ "Ranka", "Sanjay", "" ] ]
Scientists conduct large-scale simulations to compute derived quantities-of-interest (QoI) from primary data. Often, QoI are linked to specific features, regions, or time intervals, such that data can be adaptively reduced without compromising the integrity of QoI. For many spatiotemporal applications, these QoI are bi...
1902.05026
Justice Amoh
Justice Amoh and Kofi Odame
An Optimized Recurrent Unit for Ultra-Low-Power Keyword Spotting
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
There is growing interest in being able to run neural networks on sensors, wearables and internet-of-things (IoT) devices. However, the computational demands of neural networks make them difficult to deploy on resource-constrained edge devices. To meet this need, our work introduces a new recurrent unit architectur...
[ { "created": "Wed, 13 Feb 2019 17:41:15 GMT", "version": "v1" } ]
2019-02-14
[ [ "Amoh", "Justice", "" ], [ "Odame", "Kofi", "" ] ]
There is growing interest in being able to run neural networks on sensors, wearables and internet-of-things (IoT) devices. However, the computational demands of neural networks make them difficult to deploy on resource-constrained edge devices. To meet this need, our work introduces a new recurrent unit architecture th...
2212.07114
Yuchao Chen
Yuchao Chen, Jintao Wang, Xiaoqing Wang, and Jian Song
Age of Information Optimization in Multi-Channel Network with Sided Information
null
null
null
null
cs.IT cs.SI math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider a discrete-time multi-channel network where the destination collects time-sensitive packets from multiple sources with sided channel information. The popular metric, Age of Information (AoI), is applied to measure the data freshness at the destination. Due to the interference constraint, only disjoint sou...
[ { "created": "Wed, 14 Dec 2022 09:06:05 GMT", "version": "v1" } ]
2022-12-15
[ [ "Chen", "Yuchao", "" ], [ "Wang", "Jintao", "" ], [ "Wang", "Xiaoqing", "" ], [ "Song", "Jian", "" ] ]
We consider a discrete-time multi-channel network where the destination collects time-sensitive packets from multiple sources with sided channel information. The popular metric, Age of Information (AoI), is applied to measure the data freshness at the destination. Due to the interference constraint, only disjoint sourc...
2307.06845
Vincent Schorp
Vincent Schorp, Will Panitch, Kaushik Shivakumar, Vainavi Viswanath, Justin Kerr, Yahav Avigal, Danyal M Fer, Lionel Ott, Ken Goldberg
Self-Supervised Learning for Interactive Perception of Surgical Thread for Autonomous Suture Tail-Shortening
International Conference on Automation Science and Engineering (CASE) 2023, 7 pages
null
null
null
cs.RO cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Accurate 3D sensing of suturing thread is a challenging problem in automated surgical suturing because of the high state-space complexity, thinness and deformability of the thread, and possibility of occlusion by the grippers and tissue. In this work we present a method for tracking surgical thread in 3D which is rob...
[ { "created": "Thu, 13 Jul 2023 16:08:03 GMT", "version": "v1" } ]
2023-07-14
[ [ "Schorp", "Vincent", "" ], [ "Panitch", "Will", "" ], [ "Shivakumar", "Kaushik", "" ], [ "Viswanath", "Vainavi", "" ], [ "Kerr", "Justin", "" ], [ "Avigal", "Yahav", "" ], [ "Fer", "Danyal M", "" ], [ ...
Accurate 3D sensing of suturing thread is a challenging problem in automated surgical suturing because of the high state-space complexity, thinness and deformability of the thread, and possibility of occlusion by the grippers and tissue. In this work we present a method for tracking surgical thread in 3D which is robus...
2007.05549
Alexander Irpan
Janarthanan Rajendran, Alex Irpan, Eric Jang
Meta-Learning Requires Meta-Augmentation
14 pages, 8 figures. NeurIPS 2020 camera ready. Code at https://github.com/google-research/google-research/tree/master/meta_augmentation
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Meta-learning algorithms aim to learn two components: a model that predicts targets for a task, and a base learner that quickly updates that model when given examples from a new task. This additional level of learning can be powerful, but it also creates another potential source for overfitting, since we can now over...
[ { "created": "Fri, 10 Jul 2020 18:04:04 GMT", "version": "v1" }, { "created": "Wed, 4 Nov 2020 00:03:33 GMT", "version": "v2" } ]
2020-11-05
[ [ "Rajendran", "Janarthanan", "" ], [ "Irpan", "Alex", "" ], [ "Jang", "Eric", "" ] ]
Meta-learning algorithms aim to learn two components: a model that predicts targets for a task, and a base learner that quickly updates that model when given examples from a new task. This additional level of learning can be powerful, but it also creates another potential source for overfitting, since we can now overfi...
1904.13080
Qi Wang
Yuan Yuan and Dong Wang and Qi Wang
Memory-Augmented Temporal Dynamic Learning for Action Recognition
The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19)
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Human actions captured in video sequences contain two crucial factors for action recognition, i.e., visual appearance and motion dynamics. To model these two aspects, Convolutional and Recurrent Neural Networks (CNNs and RNNs) are adopted in most existing successful methods for recognizing actions. However, CNN based...
[ { "created": "Tue, 30 Apr 2019 07:19:50 GMT", "version": "v1" } ]
2019-05-01
[ [ "Yuan", "Yuan", "" ], [ "Wang", "Dong", "" ], [ "Wang", "Qi", "" ] ]
Human actions captured in video sequences contain two crucial factors for action recognition, i.e., visual appearance and motion dynamics. To model these two aspects, Convolutional and Recurrent Neural Networks (CNNs and RNNs) are adopted in most existing successful methods for recognizing actions. However, CNN based m...
2404.18191
Yihao Zhang
Chen Cheng, Xinzhi Yu, Haodong Wen, Jingsong Sun, Guanzhang Yue, Yihao Zhang, Zeming Wei
Exploring the Robustness of In-Context Learning with Noisy Labels
ICLR 2024 Workshop on Reliable and Responsible Foundation Models
null
null
null
cs.CL cs.AI cs.CR cs.LG math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently, the mysterious In-Context Learning (ICL) ability exhibited by Transformer architectures, especially in large language models (LLMs), has sparked significant research interest. However, the resilience of Transformers' in-context learning capabilities in the presence of noisy samples, prevalent in both traini...
[ { "created": "Sun, 28 Apr 2024 14:05:23 GMT", "version": "v1" }, { "created": "Wed, 1 May 2024 09:15:16 GMT", "version": "v2" } ]
2024-05-02
[ [ "Cheng", "Chen", "" ], [ "Yu", "Xinzhi", "" ], [ "Wen", "Haodong", "" ], [ "Sun", "Jingsong", "" ], [ "Yue", "Guanzhang", "" ], [ "Zhang", "Yihao", "" ], [ "Wei", "Zeming", "" ] ]
Recently, the mysterious In-Context Learning (ICL) ability exhibited by Transformer architectures, especially in large language models (LLMs), has sparked significant research interest. However, the resilience of Transformers' in-context learning capabilities in the presence of noisy samples, prevalent in both training...
1708.04352
Peter Henderson
Peter Henderson, Wei-Di Chang, Florian Shkurti, Johanna Hansen, David Meger, Gregory Dudek
Benchmark Environments for Multitask Learning in Continuous Domains
Accepted at Lifelong Learning: A Reinforcement Learning Approach Workshop @ ICML, Sydney, Australia, 2017
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As demand drives systems to generalize to various domains and problems, the study of multitask, transfer and lifelong learning has become an increasingly important pursuit. In discrete domains, performance on the Atari game suite has emerged as the de facto benchmark for assessing multitask learning. However, in cont...
[ { "created": "Mon, 14 Aug 2017 22:55:03 GMT", "version": "v1" } ]
2017-08-16
[ [ "Henderson", "Peter", "" ], [ "Chang", "Wei-Di", "" ], [ "Shkurti", "Florian", "" ], [ "Hansen", "Johanna", "" ], [ "Meger", "David", "" ], [ "Dudek", "Gregory", "" ] ]
As demand drives systems to generalize to various domains and problems, the study of multitask, transfer and lifelong learning has become an increasingly important pursuit. In discrete domains, performance on the Atari game suite has emerged as the de facto benchmark for assessing multitask learning. However, in contin...
2309.03084
Qi Ju
Ju Qi, Ting Feng, Falun Hei, Zhemei Fang, Yunfeng Luo
Pure Monte Carlo Counterfactual Regret Minimization
null
null
null
null
cs.AI cs.GT cs.LG
http://creativecommons.org/licenses/by/4.0/
Counterfactual Regret Minimization (CFR) and its variants are the best algorithms so far for solving large-scale incomplete information games. However, we believe that there are two problems with CFR: First, matrix multiplication is required in CFR iteration, and the time complexity of one iteration is too high; Seco...
[ { "created": "Mon, 4 Sep 2023 09:16:49 GMT", "version": "v1" }, { "created": "Thu, 12 Oct 2023 06:24:33 GMT", "version": "v2" }, { "created": "Fri, 13 Oct 2023 06:01:17 GMT", "version": "v3" } ]
2023-10-16
[ [ "Qi", "Ju", "" ], [ "Feng", "Ting", "" ], [ "Hei", "Falun", "" ], [ "Fang", "Zhemei", "" ], [ "Luo", "Yunfeng", "" ] ]
Counterfactual Regret Minimization (CFR) and its variants are the best algorithms so far for solving large-scale incomplete information games. However, we believe that there are two problems with CFR: First, matrix multiplication is required in CFR iteration, and the time complexity of one iteration is too high; Second...
2004.13891
Jakub Tarnawski
Janardhan Kulkarni, Shi Li, Jakub Tarnawski, Minwei Ye
Hierarchy-Based Algorithms for Minimizing Makespan under Precedence and Communication Constraints
null
Proc. of ACM-SIAM Symposium on Discrete Algorithms (SODA), 2020, pages 2770-2789
10.1137/1.9781611975994.169
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the classic problem of scheduling jobs with precedence constraints on a set of identical machines to minimize the makespan objective function. Understanding the exact approximability of the problem when the number of machines is a constant is a well-known question in scheduling theory. Indeed, an outstand...
[ { "created": "Tue, 28 Apr 2020 23:28:59 GMT", "version": "v1" } ]
2020-04-30
[ [ "Kulkarni", "Janardhan", "" ], [ "Li", "Shi", "" ], [ "Tarnawski", "Jakub", "" ], [ "Ye", "Minwei", "" ] ]
We consider the classic problem of scheduling jobs with precedence constraints on a set of identical machines to minimize the makespan objective function. Understanding the exact approximability of the problem when the number of machines is a constant is a well-known question in scheduling theory. Indeed, an outstandin...
2111.12217
Aida Sheshbolouki
Aida Sheshbolouki, M. Tamer \"Ozsu
Scale-Invariant Strength Assortativity of Streaming Butterflies
Submitted for publication
null
null
null
cs.DS cs.DB cs.DM cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Bipartite graphs are rich data structures with prevalent applications and identifier structural features. However, less is known about their growth patterns, particularly in streaming settings. Current works study the patterns of static or aggregated temporal graphs optimized for certain down-stream analytics or igno...
[ { "created": "Wed, 24 Nov 2021 01:24:39 GMT", "version": "v1" } ]
2021-11-25
[ [ "Sheshbolouki", "Aida", "" ], [ "Özsu", "M. Tamer", "" ] ]
Bipartite graphs are rich data structures with prevalent applications and identifier structural features. However, less is known about their growth patterns, particularly in streaming settings. Current works study the patterns of static or aggregated temporal graphs optimized for certain down-stream analytics or ignori...
2103.04854
Mohammadhossein Bahari
Mohammadhossein Bahari, Ismail Nejjar, Alexandre Alahi
Injecting Knowledge in Data-driven Vehicle Trajectory Predictors
Published in Transportation Research: Part C
Transportation Research Part C: Emerging Technologies, 2021
10.1016/j.trc.2021.103010
null
cs.AI cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Vehicle trajectory prediction tasks have been commonly tackled from two distinct perspectives: either with knowledge-driven methods or more recently with data-driven ones. On the one hand, we can explicitly implement domain-knowledge or physical priors such as anticipating that vehicles will follow the middle of the ...
[ { "created": "Mon, 8 Mar 2021 16:03:09 GMT", "version": "v1" }, { "created": "Fri, 4 Mar 2022 11:22:45 GMT", "version": "v2" } ]
2022-03-07
[ [ "Bahari", "Mohammadhossein", "" ], [ "Nejjar", "Ismail", "" ], [ "Alahi", "Alexandre", "" ] ]
Vehicle trajectory prediction tasks have been commonly tackled from two distinct perspectives: either with knowledge-driven methods or more recently with data-driven ones. On the one hand, we can explicitly implement domain-knowledge or physical priors such as anticipating that vehicles will follow the middle of the ro...
2406.18311
Xingyuan Bu
Yixin Jin, Wenjing Zhou, Meiqi Wang, Meng Li, Xintao Li, Tianyu Hu
Online Learning of Multiple Tasks and Their Relationships : Testing on Spam Email Data and EEG Signals Recorded in Construction Fields
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper examines an online multi-task learning (OMTL) method, which processes data sequentially to predict labels across related tasks. The framework learns task weights and their relatedness concurrently. Unlike previous models that assumed static task relatedness, our approach treats tasks as initially independe...
[ { "created": "Wed, 26 Jun 2024 12:50:13 GMT", "version": "v1" }, { "created": "Sun, 30 Jun 2024 03:49:06 GMT", "version": "v2" } ]
2024-07-10
[ [ "Jin", "Yixin", "" ], [ "Zhou", "Wenjing", "" ], [ "Wang", "Meiqi", "" ], [ "Li", "Meng", "" ], [ "Li", "Xintao", "" ], [ "Hu", "Tianyu", "" ] ]
This paper examines an online multi-task learning (OMTL) method, which processes data sequentially to predict labels across related tasks. The framework learns task weights and their relatedness concurrently. Unlike previous models that assumed static task relatedness, our approach treats tasks as initially independent...
2305.15383
Emmanuel Esposito
Khaled Eldowa, Emmanuel Esposito, Tommaso Cesari, Nicol\`o Cesa-Bianchi
On the Minimax Regret for Online Learning with Feedback Graphs
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work, we improve on the upper and lower bounds for the regret of online learning with strongly observable undirected feedback graphs. The best known upper bound for this problem is $\mathcal{O}\bigl(\sqrt{\alpha T\ln K}\bigr)$, where $K$ is the number of actions, $\alpha$ is the independence number of the gra...
[ { "created": "Wed, 24 May 2023 17:40:57 GMT", "version": "v1" }, { "created": "Sat, 28 Oct 2023 14:11:51 GMT", "version": "v2" } ]
2023-10-31
[ [ "Eldowa", "Khaled", "" ], [ "Esposito", "Emmanuel", "" ], [ "Cesari", "Tommaso", "" ], [ "Cesa-Bianchi", "Nicolò", "" ] ]
In this work, we improve on the upper and lower bounds for the regret of online learning with strongly observable undirected feedback graphs. The best known upper bound for this problem is $\mathcal{O}\bigl(\sqrt{\alpha T\ln K}\bigr)$, where $K$ is the number of actions, $\alpha$ is the independence number of the graph...
2401.03142
Liangtao Shi
Liangtao Shi, Bineng Zhong, Qihua Liang, Ning Li, Shengping Zhang, Xianxian Li
Explicit Visual Prompts for Visual Object Tracking
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
How to effectively exploit spatio-temporal information is crucial to capture target appearance changes in visual tracking. However, most deep learning-based trackers mainly focus on designing a complicated appearance model or template updating strategy, while lacking the exploitation of context between consecutive fr...
[ { "created": "Sat, 6 Jan 2024 07:12:07 GMT", "version": "v1" } ]
2024-01-09
[ [ "Shi", "Liangtao", "" ], [ "Zhong", "Bineng", "" ], [ "Liang", "Qihua", "" ], [ "Li", "Ning", "" ], [ "Zhang", "Shengping", "" ], [ "Li", "Xianxian", "" ] ]
How to effectively exploit spatio-temporal information is crucial to capture target appearance changes in visual tracking. However, most deep learning-based trackers mainly focus on designing a complicated appearance model or template updating strategy, while lacking the exploitation of context between consecutive fram...
1806.01976
YangQuan Chen Prof.
Sina Dehghan, Tiebiao Zhao, Yang Zhao, Jie Yuan, Abdullah Ates, YangQuan Chen
PID2018 Benchmark Challenge: Model Predictive Control With Conditional Integral Control Using A General Purpose Optimal Control Problem Solver - RIOTS
6 pages, 7 figures, 3rd IFAC Conference on Advances in Proportional-Integral-Derivative Control
null
null
null
cs.SY math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a multi-variable Model Predictive Control (MPC) based controller for the one-staged refrigeration cycle model described in the PID2018 Benchmark Challenge. This model represents a two-input, two-output system with strong nonlinearities and high coupling between its variables. A general purpose opt...
[ { "created": "Wed, 6 Jun 2018 01:55:02 GMT", "version": "v1" } ]
2018-06-07
[ [ "Dehghan", "Sina", "" ], [ "Zhao", "Tiebiao", "" ], [ "Zhao", "Yang", "" ], [ "Yuan", "Jie", "" ], [ "Ates", "Abdullah", "" ], [ "Chen", "YangQuan", "" ] ]
This paper presents a multi-variable Model Predictive Control (MPC) based controller for the one-staged refrigeration cycle model described in the PID2018 Benchmark Challenge. This model represents a two-input, two-output system with strong nonlinearities and high coupling between its variables. A general purpose optim...
2406.03820
Thai-Hoc Vu
Ons Aouedi, Thai-Hoc Vu, Alessio Sacco, Dinh C. Nguyen, Kandaraj Piamrat, Guido Marchetto, Quoc-Viet Pham
A Survey on Intelligent Internet of Things: Applications, Security, Privacy, and Future Directions
This work has been accepted by IEEE Communications Surveys & Tutorials
null
null
null
cs.NI cs.AI cs.CR cs.ET cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The rapid advances in the Internet of Things (IoT) have promoted a revolution in communication technology and offered various customer services. Artificial intelligence (AI) techniques have been exploited to facilitate IoT operations and maximize their potential in modern application scenarios. In particular, the con...
[ { "created": "Thu, 6 Jun 2024 07:55:30 GMT", "version": "v1" }, { "created": "Fri, 21 Jun 2024 14:43:41 GMT", "version": "v2" } ]
2024-06-24
[ [ "Aouedi", "Ons", "" ], [ "Vu", "Thai-Hoc", "" ], [ "Sacco", "Alessio", "" ], [ "Nguyen", "Dinh C.", "" ], [ "Piamrat", "Kandaraj", "" ], [ "Marchetto", "Guido", "" ], [ "Pham", "Quoc-Viet", "" ] ]
The rapid advances in the Internet of Things (IoT) have promoted a revolution in communication technology and offered various customer services. Artificial intelligence (AI) techniques have been exploited to facilitate IoT operations and maximize their potential in modern application scenarios. In particular, the conve...
2111.13307
Zijian Wang
Zijian Wang, Xingqun Qi, Kun Yuan, Muyi Sun
Self-supervised Correlation Mining Network for Person Image Generation
null
A modified version compared with CVPR2022 version
null
null
cs.CV
http://creativecommons.org/publicdomain/zero/1.0/
Person image generation aims to perform non-rigid deformation on source images, which generally requires unaligned data pairs for training. Recently, self-supervised methods express great prospects in this task by merging the disentangled representations for self-reconstruction. However, such methods fail to exploit ...
[ { "created": "Fri, 26 Nov 2021 03:57:46 GMT", "version": "v1" }, { "created": "Mon, 29 Nov 2021 08:25:03 GMT", "version": "v2" }, { "created": "Wed, 14 Dec 2022 07:27:54 GMT", "version": "v3" } ]
2022-12-15
[ [ "Wang", "Zijian", "" ], [ "Qi", "Xingqun", "" ], [ "Yuan", "Kun", "" ], [ "Sun", "Muyi", "" ] ]
Person image generation aims to perform non-rigid deformation on source images, which generally requires unaligned data pairs for training. Recently, self-supervised methods express great prospects in this task by merging the disentangled representations for self-reconstruction. However, such methods fail to exploit th...
2201.08659
Mads Lindskou
Mads Lindskou, Torben Tvedebrink, Poul Svante Eriksen, S{\o}ren H{\o}jsgaard and Niels Morling
Unity Smoothing for Handling Inconsistent Evidence in Bayesian Networks and Unity Propagation for Faster Inference
null
null
null
null
cs.LG stat.CO
http://creativecommons.org/licenses/by/4.0/
We propose Unity Smoothing (US) for handling inconsistencies between a Bayesian network model and new unseen observations. We show that prediction accuracy, using the junction tree algorithm with US is comparable to that of Laplace smoothing. Moreover, in applications were sparsity of the data structures is utilized,...
[ { "created": "Fri, 21 Jan 2022 12:03:45 GMT", "version": "v1" } ]
2022-01-24
[ [ "Lindskou", "Mads", "" ], [ "Tvedebrink", "Torben", "" ], [ "Eriksen", "Poul Svante", "" ], [ "Højsgaard", "Søren", "" ], [ "Morling", "Niels", "" ] ]
We propose Unity Smoothing (US) for handling inconsistencies between a Bayesian network model and new unseen observations. We show that prediction accuracy, using the junction tree algorithm with US is comparable to that of Laplace smoothing. Moreover, in applications were sparsity of the data structures is utilized, U...
2401.09885
Jorge Martinez Gil Ph.D.
Jorge Martinez-Gil
Source Code Clone Detection Using Unsupervised Similarity Measures
Accepted for publication as Full Paper in the Software Quality Days 2024, Vienna, Austria
null
10.1007/978-3-031-56281-5_2
null
cs.SE cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Assessing similarity in source code has gained significant attention in recent years due to its importance in software engineering tasks such as clone detection and code search and recommendation. This work presents a comparative analysis of unsupervised similarity measures for identifying source code clone detection...
[ { "created": "Thu, 18 Jan 2024 10:56:27 GMT", "version": "v1" }, { "created": "Fri, 19 Jan 2024 07:23:04 GMT", "version": "v2" }, { "created": "Tue, 6 Feb 2024 15:09:13 GMT", "version": "v3" } ]
2024-08-13
[ [ "Martinez-Gil", "Jorge", "" ] ]
Assessing similarity in source code has gained significant attention in recent years due to its importance in software engineering tasks such as clone detection and code search and recommendation. This work presents a comparative analysis of unsupervised similarity measures for identifying source code clone detection. ...
2305.13235
Oana-Maria Camburu
Jesus Solano, Mardhiyah Sanni, Oana-Maria Camburu, Pasquale Minervini
SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations
null
ACL 2024
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Models that generate natural language explanations (NLEs) for their predictions have recently gained increasing interest. However, this approach usually demands large datasets of human-written NLEs for the ground-truth answers at training time, which can be expensive and potentially infeasible for some applications. ...
[ { "created": "Mon, 22 May 2023 17:06:41 GMT", "version": "v1" }, { "created": "Tue, 23 May 2023 09:26:37 GMT", "version": "v2" }, { "created": "Sun, 11 Aug 2024 11:43:23 GMT", "version": "v3" } ]
2024-08-13
[ [ "Solano", "Jesus", "" ], [ "Sanni", "Mardhiyah", "" ], [ "Camburu", "Oana-Maria", "" ], [ "Minervini", "Pasquale", "" ] ]
Models that generate natural language explanations (NLEs) for their predictions have recently gained increasing interest. However, this approach usually demands large datasets of human-written NLEs for the ground-truth answers at training time, which can be expensive and potentially infeasible for some applications. Wh...
2104.04916
Xutan Peng
Xutan Peng, Chenghua Lin, Mark Stevenson
Cross-Lingual Word Embedding Refinement by $\ell_{1}$ Norm Optimisation
To appear at NAACL 2021
NAACL-HLT 2021
10.18653/v1/2021.naacl-main.214
null
cs.CL cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cross-Lingual Word Embeddings (CLWEs) encode words from two or more languages in a shared high-dimensional space in which vectors representing words with similar meaning (regardless of language) are closely located. Existing methods for building high-quality CLWEs learn mappings that minimise the $\ell_{2}$ norm loss...
[ { "created": "Sun, 11 Apr 2021 04:37:54 GMT", "version": "v1" } ]
2022-01-25
[ [ "Peng", "Xutan", "" ], [ "Lin", "Chenghua", "" ], [ "Stevenson", "Mark", "" ] ]
Cross-Lingual Word Embeddings (CLWEs) encode words from two or more languages in a shared high-dimensional space in which vectors representing words with similar meaning (regardless of language) are closely located. Existing methods for building high-quality CLWEs learn mappings that minimise the $\ell_{2}$ norm loss f...
2302.08510
Ting-Hsuan Liao
Ting-Hsuan Liao, Songwei Ge, Yiran Xu, Yao-Chih Lee, Badour AlBahar and Jia-Bin Huang
Text-driven Visual Synthesis with Latent Diffusion Prior
Project website: https://latent-diffusion-prior.github.io/
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
There has been tremendous progress in large-scale text-to-image synthesis driven by diffusion models enabling versatile downstream applications such as 3D object synthesis from texts, image editing, and customized generation. We present a generic approach using latent diffusion models as powerful image priors for var...
[ { "created": "Thu, 16 Feb 2023 18:59:58 GMT", "version": "v1" }, { "created": "Mon, 3 Apr 2023 18:15:48 GMT", "version": "v2" } ]
2023-04-05
[ [ "Liao", "Ting-Hsuan", "" ], [ "Ge", "Songwei", "" ], [ "Xu", "Yiran", "" ], [ "Lee", "Yao-Chih", "" ], [ "AlBahar", "Badour", "" ], [ "Huang", "Jia-Bin", "" ] ]
There has been tremendous progress in large-scale text-to-image synthesis driven by diffusion models enabling versatile downstream applications such as 3D object synthesis from texts, image editing, and customized generation. We present a generic approach using latent diffusion models as powerful image priors for vario...
2307.16650
Yong Zheng
Yong Zheng
ChatGPT for Teaching and Learning: An Experience from Data Science Education
null
null
10.1145/3585059.3611431
null
cs.CY
http://creativecommons.org/licenses/by-nc-nd/4.0/
ChatGPT, an implementation and application of large language models, has gained significant popularity since its initial release. Researchers have been exploring ways to harness the practical benefits of ChatGPT in real-world scenarios. Educational researchers have investigated its potential in various subjects, e.g....
[ { "created": "Mon, 31 Jul 2023 13:31:19 GMT", "version": "v1" } ]
2023-08-01
[ [ "Zheng", "Yong", "" ] ]
ChatGPT, an implementation and application of large language models, has gained significant popularity since its initial release. Researchers have been exploring ways to harness the practical benefits of ChatGPT in real-world scenarios. Educational researchers have investigated its potential in various subjects, e.g., ...
1902.06656
Xavier Coiteux-Roy
Xavier Coiteux-Roy and Stefan Wolf
Proving Erasure
5 pages, 3 figures
null
10.1109/ISIT.2019.8849661
null
cs.CR quant-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
It seems impossible to certify that a remote hosting service does not leak its users' data --- or does quantum mechanics make it possible? We investigate if a server hosting data can information-theoretically prove its definite deletion using a "BB84-like" protocol. To do so, we first rigorously introduce an alternat...
[ { "created": "Mon, 18 Feb 2019 17:23:52 GMT", "version": "v1" }, { "created": "Fri, 3 May 2019 08:55:15 GMT", "version": "v2" } ]
2020-01-15
[ [ "Coiteux-Roy", "Xavier", "" ], [ "Wolf", "Stefan", "" ] ]
It seems impossible to certify that a remote hosting service does not leak its users' data --- or does quantum mechanics make it possible? We investigate if a server hosting data can information-theoretically prove its definite deletion using a "BB84-like" protocol. To do so, we first rigorously introduce an alternativ...
2210.06242
Sang-Hyun Je
Sang-Hyun Je
Entity Aware Negative Sampling with Auxiliary Loss of False Negative Prediction for Knowledge Graph Embedding
null
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Knowledge graph (KG) embedding is widely used in many downstream applications using KGs. Generally, since KGs contain only ground truth triples, it is necessary to construct arbitrary negative samples for representation learning of KGs. Recently, various methods for sampling high-quality negatives have been studied b...
[ { "created": "Wed, 12 Oct 2022 14:27:51 GMT", "version": "v1" } ]
2022-10-13
[ [ "Je", "Sang-Hyun", "" ] ]
Knowledge graph (KG) embedding is widely used in many downstream applications using KGs. Generally, since KGs contain only ground truth triples, it is necessary to construct arbitrary negative samples for representation learning of KGs. Recently, various methods for sampling high-quality negatives have been studied bec...
2104.14679
Harshayu Girase
Harshayu Girase, Jerrick Hoang, Sai Yalamanchi, and Micol Marchetti-Bowick
Physically Feasible Vehicle Trajectory Prediction
null
null
null
null
cs.RO cs.CV
http://creativecommons.org/licenses/by/4.0/
Predicting the future motion of actors in a traffic scene is a crucial part of any autonomous driving system. Recent research in this area has focused on trajectory prediction approaches that optimize standard trajectory error metrics. In this work, we describe three important properties -- physical realism guarantee...
[ { "created": "Thu, 29 Apr 2021 22:13:41 GMT", "version": "v1" } ]
2021-05-03
[ [ "Girase", "Harshayu", "" ], [ "Hoang", "Jerrick", "" ], [ "Yalamanchi", "Sai", "" ], [ "Marchetti-Bowick", "Micol", "" ] ]
Predicting the future motion of actors in a traffic scene is a crucial part of any autonomous driving system. Recent research in this area has focused on trajectory prediction approaches that optimize standard trajectory error metrics. In this work, we describe three important properties -- physical realism guarantees,...
2103.14475
Jianyuan Guo
Jianyuan Guo, Kai Han, Yunhe Wang, Han Wu, Xinghao Chen, Chunjing Xu and Chang Xu
Distilling Object Detectors via Decoupled Features
Accepted in CVPR 2021
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Knowledge distillation is a widely used paradigm for inheriting information from a complicated teacher network to a compact student network and maintaining the strong performance. Different from image classification, object detectors are much more sophisticated with multiple loss functions in which features that sema...
[ { "created": "Fri, 26 Mar 2021 13:58:49 GMT", "version": "v1" } ]
2021-03-29
[ [ "Guo", "Jianyuan", "" ], [ "Han", "Kai", "" ], [ "Wang", "Yunhe", "" ], [ "Wu", "Han", "" ], [ "Chen", "Xinghao", "" ], [ "Xu", "Chunjing", "" ], [ "Xu", "Chang", "" ] ]
Knowledge distillation is a widely used paradigm for inheriting information from a complicated teacher network to a compact student network and maintaining the strong performance. Different from image classification, object detectors are much more sophisticated with multiple loss functions in which features that semant...
1803.05849
Renzo Andri
Andrawes Al Bahou, Geethan Karunaratne, Renzo Andri, Lukas Cavigelli, Luca Benini
XNORBIN: A 95 TOp/s/W Hardware Accelerator for Binary Convolutional Neural Networks
null
null
null
null
cs.CV cs.AI cs.AR cs.NE eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deploying state-of-the-art CNNs requires power-hungry processors and off-chip memory. This precludes the implementation of CNNs in low-power embedded systems. Recent research shows CNNs sustain extreme quantization, binarizing their weights and intermediate feature maps, thereby saving 8-32\x memory and collapsing en...
[ { "created": "Mon, 5 Mar 2018 15:41:28 GMT", "version": "v1" } ]
2018-09-12
[ [ "Bahou", "Andrawes Al", "" ], [ "Karunaratne", "Geethan", "" ], [ "Andri", "Renzo", "" ], [ "Cavigelli", "Lukas", "" ], [ "Benini", "Luca", "" ] ]
Deploying state-of-the-art CNNs requires power-hungry processors and off-chip memory. This precludes the implementation of CNNs in low-power embedded systems. Recent research shows CNNs sustain extreme quantization, binarizing their weights and intermediate feature maps, thereby saving 8-32\x memory and collapsing ener...
1905.00134
Maximilian Haas-Heger
Maximilian Haas-Heger and Matei Ciocarlie
Accurate Energetic Constraints for Passive Grasp Stability Analysis
18 pages, 13 figures, 2 tables, 1 algorithm
null
10.1109/TRO.2020.2974108
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Passive reaction effects in grasp stability analysis occur when the contact forces and joint torques applied by a grasp change in response to external disturbances applied to the grasped object. For example, nonbackdrivable actuators (e.g. highly geared servos) will passively resist external disturbances without an a...
[ { "created": "Tue, 30 Apr 2019 23:27:04 GMT", "version": "v1" }, { "created": "Mon, 10 Jun 2019 22:04:58 GMT", "version": "v2" }, { "created": "Mon, 18 Nov 2019 21:08:42 GMT", "version": "v3" }, { "created": "Thu, 9 Jul 2020 03:02:38 GMT", "version": "v4" } ]
2020-07-10
[ [ "Haas-Heger", "Maximilian", "" ], [ "Ciocarlie", "Matei", "" ] ]
Passive reaction effects in grasp stability analysis occur when the contact forces and joint torques applied by a grasp change in response to external disturbances applied to the grasped object. For example, nonbackdrivable actuators (e.g. highly geared servos) will passively resist external disturbances without an act...
2307.08187
Hiroki Naganuma
Hiroki Naganuma, Ryuichiro Hataya, Ioannis Mitliagkas
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration
null
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
In out-of-distribution (OOD) generalization tasks, fine-tuning pre-trained models has become a prevalent strategy. Different from most prior work that has focused on advancing learning algorithms, we systematically examined how pre-trained model size, pre-training dataset size, and training strategies impact generali...
[ { "created": "Mon, 17 Jul 2023 01:27:10 GMT", "version": "v1" }, { "created": "Mon, 20 Nov 2023 02:22:22 GMT", "version": "v2" }, { "created": "Thu, 30 May 2024 23:30:02 GMT", "version": "v3" } ]
2024-06-03
[ [ "Naganuma", "Hiroki", "" ], [ "Hataya", "Ryuichiro", "" ], [ "Mitliagkas", "Ioannis", "" ] ]
In out-of-distribution (OOD) generalization tasks, fine-tuning pre-trained models has become a prevalent strategy. Different from most prior work that has focused on advancing learning algorithms, we systematically examined how pre-trained model size, pre-training dataset size, and training strategies impact generaliza...
2004.03954
Jian-Jia Weng
Jian-Jia Weng, Fady Alajaji, and Tam\'as Linder
A Simple Capacity Outer Bound for Two-Way Channels and Capacity Approximation Results
an error in Eq. (2) corrected
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Channel symmetry properties that imply the tightness of Shannon's random coding inner bound have recently been used to determine the capacity region of discrete-memoryless two-way channels (DM-TWCs). For channels without such symmetry properties, outer bounds are often needed to estimate the capacity region. However,...
[ { "created": "Wed, 8 Apr 2020 12:01:09 GMT", "version": "v1" }, { "created": "Wed, 12 Aug 2020 13:26:56 GMT", "version": "v2" }, { "created": "Thu, 24 Sep 2020 21:26:05 GMT", "version": "v3" } ]
2020-09-28
[ [ "Weng", "Jian-Jia", "" ], [ "Alajaji", "Fady", "" ], [ "Linder", "Tamás", "" ] ]
Channel symmetry properties that imply the tightness of Shannon's random coding inner bound have recently been used to determine the capacity region of discrete-memoryless two-way channels (DM-TWCs). For channels without such symmetry properties, outer bounds are often needed to estimate the capacity region. However, v...
2312.09058
Yixuan Even Xu
Yixuan Even Xu, Chun Kai Ling, Fei Fang
Learning Coalition Structures with Games
13 pages, 4 figures, 3 tables, aaai 2024
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Coalitions naturally exist in many real-world systems involving multiple decision makers such as ridesharing, security, and online ad auctions, but the coalition structure among the agents is often unknown. We propose and study an important yet previously overseen problem -- Coalition Structure Learning (CSL), where ...
[ { "created": "Thu, 14 Dec 2023 15:54:55 GMT", "version": "v1" }, { "created": "Tue, 19 Dec 2023 02:54:23 GMT", "version": "v2" } ]
2023-12-20
[ [ "Xu", "Yixuan Even", "" ], [ "Ling", "Chun Kai", "" ], [ "Fang", "Fei", "" ] ]
Coalitions naturally exist in many real-world systems involving multiple decision makers such as ridesharing, security, and online ad auctions, but the coalition structure among the agents is often unknown. We propose and study an important yet previously overseen problem -- Coalition Structure Learning (CSL), where we...
2002.06987
Wei Deng
Wei Deng and Junwei Pan and Tian Zhou and Deguang Kong and Aaron Flores and Guang Lin
DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving
Accepted by WSDM 2021; Source code: https://github.com/WayneDW/DeepLight_Deep-Lightweight-Feature-Interactions
null
null
null
cs.LG cs.IR stat.AP stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Click-through rate (CTR) prediction is a crucial task in online display advertising. The embedding-based neural networks have been proposed to learn both explicit feature interactions through a shallow component and deep feature interactions using a deep neural network (DNN) component. These sophisticated models, how...
[ { "created": "Mon, 17 Feb 2020 14:51:31 GMT", "version": "v1" }, { "created": "Tue, 18 Aug 2020 01:46:08 GMT", "version": "v2" }, { "created": "Wed, 6 Jan 2021 22:13:51 GMT", "version": "v3" } ]
2021-01-08
[ [ "Deng", "Wei", "" ], [ "Pan", "Junwei", "" ], [ "Zhou", "Tian", "" ], [ "Kong", "Deguang", "" ], [ "Flores", "Aaron", "" ], [ "Lin", "Guang", "" ] ]
Click-through rate (CTR) prediction is a crucial task in online display advertising. The embedding-based neural networks have been proposed to learn both explicit feature interactions through a shallow component and deep feature interactions using a deep neural network (DNN) component. These sophisticated models, howev...
1806.01830
Adam Santoro
Vinicius Zambaldi, David Raposo, Adam Santoro, Victor Bapst, Yujia Li, Igor Babuschkin, Karl Tuyls, David Reichert, Timothy Lillicrap, Edward Lockhart, Murray Shanahan, Victoria Langston, Razvan Pascanu, Matthew Botvinick, Oriol Vinyals, Peter Battaglia
Relational Deep Reinforcement Learning
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce an approach for deep reinforcement learning (RL) that improves upon the efficiency, generalization capacity, and interpretability of conventional approaches through structured perception and relational reasoning. It uses self-attention to iteratively reason about the relations between entities in a scene...
[ { "created": "Tue, 5 Jun 2018 17:39:12 GMT", "version": "v1" }, { "created": "Thu, 28 Jun 2018 14:59:32 GMT", "version": "v2" } ]
2018-06-29
[ [ "Zambaldi", "Vinicius", "" ], [ "Raposo", "David", "" ], [ "Santoro", "Adam", "" ], [ "Bapst", "Victor", "" ], [ "Li", "Yujia", "" ], [ "Babuschkin", "Igor", "" ], [ "Tuyls", "Karl", "" ], [ "Reiche...
We introduce an approach for deep reinforcement learning (RL) that improves upon the efficiency, generalization capacity, and interpretability of conventional approaches through structured perception and relational reasoning. It uses self-attention to iteratively reason about the relations between entities in a scene a...
2207.12764
Anahita Farhang Ghahfarokhi
Anahita Farhang Ghahfarokhi, Fatemeh Akoochekian, Fareed Zandkarimi, Wil M.P. van der Aalst
Clustering Object-Centric Event Logs
null
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
Process mining provides various algorithms to analyze process executions based on event data. Process discovery, the most prominent category of process mining techniques, aims to discover process models from event logs, however, it leads to spaghetti models when working with real-life data. Therefore, several cluster...
[ { "created": "Tue, 26 Jul 2022 09:16:39 GMT", "version": "v1" } ]
2022-07-27
[ [ "Ghahfarokhi", "Anahita Farhang", "" ], [ "Akoochekian", "Fatemeh", "" ], [ "Zandkarimi", "Fareed", "" ], [ "van der Aalst", "Wil M. P.", "" ] ]
Process mining provides various algorithms to analyze process executions based on event data. Process discovery, the most prominent category of process mining techniques, aims to discover process models from event logs, however, it leads to spaghetti models when working with real-life data. Therefore, several clusterin...
2011.06825
Md Saif Hassan Onim
Md. Saif Hassan Onim, Aiman Rafeed Ehtesham, Amreen Anbar, A. K. M. Nazrul Islam, A. K. M. Mahbubur Rahman
LULC classification by semantic segmentation of satellite images using FastFCN
null
null
10.1109/ICAICT51780.2020.9333522
null
cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
This paper analyses how well a Fast Fully Convolutional Network (FastFCN) semantically segments satellite images and thus classifies Land Use/Land Cover(LULC) classes. Fast-FCN was used on Gaofen-2 Image Dataset (GID-2) to segment them in five different classes: BuiltUp, Meadow, Farmland, Water and Forest. The result...
[ { "created": "Fri, 13 Nov 2020 09:33:03 GMT", "version": "v1" }, { "created": "Thu, 3 Dec 2020 19:50:31 GMT", "version": "v2" } ]
2022-02-25
[ [ "Onim", "Md. Saif Hassan", "" ], [ "Ehtesham", "Aiman Rafeed", "" ], [ "Anbar", "Amreen", "" ], [ "Islam", "A. K. M. Nazrul", "" ], [ "Rahman", "A. K. M. Mahbubur", "" ] ]
This paper analyses how well a Fast Fully Convolutional Network (FastFCN) semantically segments satellite images and thus classifies Land Use/Land Cover(LULC) classes. Fast-FCN was used on Gaofen-2 Image Dataset (GID-2) to segment them in five different classes: BuiltUp, Meadow, Farmland, Water and Forest. The results ...
2103.06352
Kevin Lybarger
Kevin Lybarger, Linzee Mabrey, Matthew Thau, Pavan K. Bhatraju, Mark Wurfel, Meliha Yetisgen
Identifying ARDS using the Hierarchical Attention Network with Sentence Objectives Framework
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Acute respiratory distress syndrome (ARDS) is a life-threatening condition that is often undiagnosed or diagnosed late. ARDS is especially prominent in those infected with COVID-19. We explore the automatic identification of ARDS indicators and confounding factors in free-text chest radiograph reports. We present a n...
[ { "created": "Wed, 10 Mar 2021 21:50:11 GMT", "version": "v1" } ]
2021-03-12
[ [ "Lybarger", "Kevin", "" ], [ "Mabrey", "Linzee", "" ], [ "Thau", "Matthew", "" ], [ "Bhatraju", "Pavan K.", "" ], [ "Wurfel", "Mark", "" ], [ "Yetisgen", "Meliha", "" ] ]
Acute respiratory distress syndrome (ARDS) is a life-threatening condition that is often undiagnosed or diagnosed late. ARDS is especially prominent in those infected with COVID-19. We explore the automatic identification of ARDS indicators and confounding factors in free-text chest radiograph reports. We present a new...
1909.06872
Gilad Cohen
Gilad Cohen, Guillermo Sapiro, Raja Giryes
Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors
Paper accepted to CVPR 2020
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep neural networks (DNNs) are notorious for their vulnerability to adversarial attacks, which are small perturbations added to their input images to mislead their prediction. Detection of adversarial examples is, therefore, a fundamental requirement for robust classification frameworks. In this work, we present a m...
[ { "created": "Sun, 15 Sep 2019 20:07:48 GMT", "version": "v1" }, { "created": "Thu, 19 Mar 2020 10:41:34 GMT", "version": "v2" } ]
2020-03-20
[ [ "Cohen", "Gilad", "" ], [ "Sapiro", "Guillermo", "" ], [ "Giryes", "Raja", "" ] ]
Deep neural networks (DNNs) are notorious for their vulnerability to adversarial attacks, which are small perturbations added to their input images to mislead their prediction. Detection of adversarial examples is, therefore, a fundamental requirement for robust classification frameworks. In this work, we present a met...
2406.11880
Jason Martin
Jason Martin, Kenneth Yeung
Knowledge Return Oriented Prompting (KROP)
null
null
null
null
cs.CR cs.LG
http://creativecommons.org/licenses/by-sa/4.0/
Many Large Language Models (LLMs) and LLM-powered apps deployed today use some form of prompt filter or alignment to protect their integrity. However, these measures aren't foolproof. This paper introduces KROP, a prompt injection technique capable of obfuscating prompt injection attacks, rendering them virtually und...
[ { "created": "Tue, 11 Jun 2024 23:58:37 GMT", "version": "v1" } ]
2024-06-19
[ [ "Martin", "Jason", "" ], [ "Yeung", "Kenneth", "" ] ]
Many Large Language Models (LLMs) and LLM-powered apps deployed today use some form of prompt filter or alignment to protect their integrity. However, these measures aren't foolproof. This paper introduces KROP, a prompt injection technique capable of obfuscating prompt injection attacks, rendering them virtually undet...
2312.10616
Sijie Wang
Sijie Wang, Rui She, Qiyu Kang, Xingchao Jian, Kai Zhao, Yang Song, Wee Peng Tay
DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition
Accepted by AAAI 2024
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
The utilization of multi-modal sensor data in visual place recognition (VPR) has demonstrated enhanced performance compared to single-modal counterparts. Nonetheless, integrating additional sensors comes with elevated costs and may not be feasible for systems that demand lightweight operation, thereby impacting the p...
[ { "created": "Sun, 17 Dec 2023 05:59:06 GMT", "version": "v1" } ]
2023-12-19
[ [ "Wang", "Sijie", "" ], [ "She", "Rui", "" ], [ "Kang", "Qiyu", "" ], [ "Jian", "Xingchao", "" ], [ "Zhao", "Kai", "" ], [ "Song", "Yang", "" ], [ "Tay", "Wee Peng", "" ] ]
The utilization of multi-modal sensor data in visual place recognition (VPR) has demonstrated enhanced performance compared to single-modal counterparts. Nonetheless, integrating additional sensors comes with elevated costs and may not be feasible for systems that demand lightweight operation, thereby impacting the pra...
2011.07542
Ina Kodrasi
I. Kodrasi and M. Pernon and M. Laganaro and H. Bourlard
Automatic and perceptual discrimination between dysarthria, apraxia of speech, and neurotypical speech
ICASSP 2021
null
null
null
cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Automatic techniques in the context of motor speech disorders (MSDs) are typically two-class techniques aiming to discriminate between dysarthria and neurotypical speech or between dysarthria and apraxia of speech (AoS). Further, although such techniques are proposed to support the perceptual assessment of clinicians...
[ { "created": "Sun, 15 Nov 2020 14:48:28 GMT", "version": "v1" }, { "created": "Mon, 8 Feb 2021 12:16:22 GMT", "version": "v2" }, { "created": "Wed, 2 Jun 2021 08:36:58 GMT", "version": "v3" } ]
2021-06-03
[ [ "Kodrasi", "I.", "" ], [ "Pernon", "M.", "" ], [ "Laganaro", "M.", "" ], [ "Bourlard", "H.", "" ] ]
Automatic techniques in the context of motor speech disorders (MSDs) are typically two-class techniques aiming to discriminate between dysarthria and neurotypical speech or between dysarthria and apraxia of speech (AoS). Further, although such techniques are proposed to support the perceptual assessment of clinicians, ...
1407.6989
Benjamin Schweinhart
Benjamin Schweinhart, Jeremy Mason, and Robert MacPherson
Topological Similarity of Random Cell Complexes and Applications
null
Phys. Rev. E 93, 062111 (2016)
10.1103/PhysRevE.93.062111
null
cs.CG cond-mat.mtrl-sci
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Although random cell complexes occur throughout the physical sciences, there does not appear to be a standard way to quantify their statistical similarities and differences. The various proposals in the literature are usually motivated by the analysis of particular physical systems and do not necessarily apply to gen...
[ { "created": "Fri, 25 Jul 2014 17:52:41 GMT", "version": "v1" }, { "created": "Mon, 4 Jan 2016 22:23:32 GMT", "version": "v2" } ]
2016-06-15
[ [ "Schweinhart", "Benjamin", "" ], [ "Mason", "Jeremy", "" ], [ "MacPherson", "Robert", "" ] ]
Although random cell complexes occur throughout the physical sciences, there does not appear to be a standard way to quantify their statistical similarities and differences. The various proposals in the literature are usually motivated by the analysis of particular physical systems and do not necessarily apply to gener...
2307.01994
Xusheng Zhu
Xusheng Zhu, Wen Chen, Qingqing Wu, Liwei Wang
Performance Analysis of RIS-Aided Space Shift Keying With Channel Estimation Errors
null
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we investigate the reconfigurable intelligent surface (RIS) assisted space shift keying (SSK) downlink communication systems under the imperfect channel state information (CSI), where the channel between the base station to RIS follows the Rayleigh fading, while the channel between the RIS to user equi...
[ { "created": "Wed, 5 Jul 2023 02:53:19 GMT", "version": "v1" } ]
2023-07-06
[ [ "Zhu", "Xusheng", "" ], [ "Chen", "Wen", "" ], [ "Wu", "Qingqing", "" ], [ "Wang", "Liwei", "" ] ]
In this paper, we investigate the reconfigurable intelligent surface (RIS) assisted space shift keying (SSK) downlink communication systems under the imperfect channel state information (CSI), where the channel between the base station to RIS follows the Rayleigh fading, while the channel between the RIS to user equipm...
2201.12848
Axel Brando Guillaumes
Axel Brando, Joan Gimeno, Jose A. Rodr\'iguez-Serrano, Jordi Vitri\`a
Deep Non-Crossing Quantiles through the Partial Derivative
In the Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS)
null
null
null
cs.LG cs.AI math.PR stat.ML
http://creativecommons.org/licenses/by-sa/4.0/
Quantile Regression (QR) provides a way to approximate a single conditional quantile. To have a more informative description of the conditional distribution, QR can be merged with deep learning techniques to simultaneously estimate multiple quantiles. However, the minimisation of the QR-loss function does not guarant...
[ { "created": "Sun, 30 Jan 2022 15:35:21 GMT", "version": "v1" } ]
2022-02-01
[ [ "Brando", "Axel", "" ], [ "Gimeno", "Joan", "" ], [ "Rodríguez-Serrano", "Jose A.", "" ], [ "Vitrià", "Jordi", "" ] ]
Quantile Regression (QR) provides a way to approximate a single conditional quantile. To have a more informative description of the conditional distribution, QR can be merged with deep learning techniques to simultaneously estimate multiple quantiles. However, the minimisation of the QR-loss function does not guarantee...
1709.02556
EPTCS
L\'aszl\'o Z. Varga (ELTE E\"otv\"os Lor\'and University)
Game Theory Models for the Verification of the Collective Behaviour of Autonomous Cars
In Proceedings FVAV 2017, arXiv:1709.02126
EPTCS 257, 2017, pp. 27-34
10.4204/EPTCS.257.4
null
cs.MA cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The collective of autonomous cars is expected to generate almost optimal traffic. In this position paper we discuss the multi-agent models and the verification results of the collective behaviour of autonomous cars. We argue that non-cooperative autonomous adaptation cannot guarantee optimal behaviour. The conjecture...
[ { "created": "Fri, 8 Sep 2017 06:35:10 GMT", "version": "v1" } ]
2017-09-11
[ [ "Varga", "László Z.", "", "ELTE Eötvös Loránd University" ] ]
The collective of autonomous cars is expected to generate almost optimal traffic. In this position paper we discuss the multi-agent models and the verification results of the collective behaviour of autonomous cars. We argue that non-cooperative autonomous adaptation cannot guarantee optimal behaviour. The conjecture i...
2210.08883
Lena Mulansky
Lena Mulansky and R\"udiger Pryss and Caroline Cohrdes and Harald Baumeister and Felix Beierle
Social Media App Usage in Relation with PHQ-9 Depression Scores during the COVID-19 Pandemic
Accepted for the UbiComp/ISWC 2022 conference
null
10.1145/3544793.3563411
null
cs.CY cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With about 300 million affected people, major depressive disorder (MDD) is one of the most common diseases worldwide. During the COVID-19 pandemic, the number of cases increased even further, by 28%. Many factors may be correlated with MDD, including the excessive use of social media apps. In this paper, we investiga...
[ { "created": "Mon, 17 Oct 2022 09:27:24 GMT", "version": "v1" } ]
2022-10-18
[ [ "Mulansky", "Lena", "" ], [ "Pryss", "Rüdiger", "" ], [ "Cohrdes", "Caroline", "" ], [ "Baumeister", "Harald", "" ], [ "Beierle", "Felix", "" ] ]
With about 300 million affected people, major depressive disorder (MDD) is one of the most common diseases worldwide. During the COVID-19 pandemic, the number of cases increased even further, by 28%. Many factors may be correlated with MDD, including the excessive use of social media apps. In this paper, we investigate...
2402.06576
Abhijin Adiga
Abhijin Adiga, Yohai Trabelsi, Tanvir Ferdousi, Madhav Marathe, S. S. Ravi, Samarth Swarup, Anil Kumar Vullikanti, Mandy L. Wilson, Sarit Kraus, Reetwika Basu, Supriya Savalkar, Matthew Yourek, Michael Brady, Kirti Rajagopalan, Jonathan Yoder
Value-based Resource Matching with Fairness Criteria: Application to Agricultural Water Trading
null
null
null
null
cs.DS cs.MA
http://creativecommons.org/licenses/by/4.0/
Optimal allocation of agricultural water in the event of droughts is an important global problem. In addressing this problem, many aspects, including the welfare of farmers, the economy, and the environment, must be considered. Under this backdrop, our work focuses on several resource-matching problems accounting for...
[ { "created": "Fri, 9 Feb 2024 17:50:40 GMT", "version": "v1" }, { "created": "Mon, 12 Feb 2024 02:17:04 GMT", "version": "v2" } ]
2024-02-13
[ [ "Adiga", "Abhijin", "" ], [ "Trabelsi", "Yohai", "" ], [ "Ferdousi", "Tanvir", "" ], [ "Marathe", "Madhav", "" ], [ "Ravi", "S. S.", "" ], [ "Swarup", "Samarth", "" ], [ "Vullikanti", "Anil Kumar", "" ], ...
Optimal allocation of agricultural water in the event of droughts is an important global problem. In addressing this problem, many aspects, including the welfare of farmers, the economy, and the environment, must be considered. Under this backdrop, our work focuses on several resource-matching problems accounting for a...
2010.12408
Hande Dong
Hande Dong, Jiawei Chen, Fuli Feng, Xiangnan He, Shuxian Bi, Zhaolin Ding, Peng Cui
On the Equivalence of Decoupled Graph Convolution Network and Label Propagation
Accepted by WWW 2021
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The original design of Graph Convolution Network (GCN) couples feature transformation and neighborhood aggregation for node representation learning. Recently, some work shows that coupling is inferior to decoupling, which supports deep graph propagation better and has become the latest paradigm of GCN (e.g., APPNP an...
[ { "created": "Fri, 23 Oct 2020 13:57:39 GMT", "version": "v1" }, { "created": "Mon, 15 Feb 2021 12:23:39 GMT", "version": "v2" } ]
2021-02-16
[ [ "Dong", "Hande", "" ], [ "Chen", "Jiawei", "" ], [ "Feng", "Fuli", "" ], [ "He", "Xiangnan", "" ], [ "Bi", "Shuxian", "" ], [ "Ding", "Zhaolin", "" ], [ "Cui", "Peng", "" ] ]
The original design of Graph Convolution Network (GCN) couples feature transformation and neighborhood aggregation for node representation learning. Recently, some work shows that coupling is inferior to decoupling, which supports deep graph propagation better and has become the latest paradigm of GCN (e.g., APPNP and ...
2402.08023
Yijun Tian
Yijun Tian, Chuxu Zhang, Ziyi Kou, Zheyuan Liu, Xiangliang Zhang, Nitesh V. Chawla
UGMAE: A Unified Framework for Graph Masked Autoencoders
null
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Generative self-supervised learning on graphs, particularly graph masked autoencoders, has emerged as a popular learning paradigm and demonstrated its efficacy in handling non-Euclidean data. However, several remaining issues limit the capability of existing methods: 1) the disregard of uneven node significance in ma...
[ { "created": "Mon, 12 Feb 2024 19:39:26 GMT", "version": "v1" } ]
2024-02-14
[ [ "Tian", "Yijun", "" ], [ "Zhang", "Chuxu", "" ], [ "Kou", "Ziyi", "" ], [ "Liu", "Zheyuan", "" ], [ "Zhang", "Xiangliang", "" ], [ "Chawla", "Nitesh V.", "" ] ]
Generative self-supervised learning on graphs, particularly graph masked autoencoders, has emerged as a popular learning paradigm and demonstrated its efficacy in handling non-Euclidean data. However, several remaining issues limit the capability of existing methods: 1) the disregard of uneven node significance in mask...
2311.17135
Weilin Wan
Weilin Wan, Zhiyang Dou, Taku Komura, Wenping Wang, Dinesh Jayaraman, Lingjie Liu
TLControl: Trajectory and Language Control for Human Motion Synthesis
null
null
null
null
cs.CV cs.GR
http://creativecommons.org/licenses/by-nc-sa/4.0/
Controllable human motion synthesis is essential for applications in AR/VR, gaming and embodied AI. Existing methods often focus solely on either language or full trajectory control, lacking precision in synthesizing motions aligned with user-specified trajectories, especially for multi-joint control. To address thes...
[ { "created": "Tue, 28 Nov 2023 18:54:16 GMT", "version": "v1" }, { "created": "Thu, 30 Nov 2023 20:36:16 GMT", "version": "v2" }, { "created": "Tue, 12 Dec 2023 22:18:18 GMT", "version": "v3" }, { "created": "Wed, 24 Jul 2024 13:55:48 GMT", "version": "v4" } ]
2024-07-25
[ [ "Wan", "Weilin", "" ], [ "Dou", "Zhiyang", "" ], [ "Komura", "Taku", "" ], [ "Wang", "Wenping", "" ], [ "Jayaraman", "Dinesh", "" ], [ "Liu", "Lingjie", "" ] ]
Controllable human motion synthesis is essential for applications in AR/VR, gaming and embodied AI. Existing methods often focus solely on either language or full trajectory control, lacking precision in synthesizing motions aligned with user-specified trajectories, especially for multi-joint control. To address these ...
2312.02509
Ero Balsa
Ero Balsa and Yan Shvartzshnaider
When PETs misbehave: A Contextual Integrity analysis
null
null
null
null
cs.CR cs.CY cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Privacy enhancing technologies, or PETs, have been hailed as a promising means to protect privacy without compromising on the functionality of digital services. At the same time, and partly because they may encode a narrow conceptualization of privacy as confidentiality that is popular among policymakers, engineers a...
[ { "created": "Tue, 5 Dec 2023 05:27:43 GMT", "version": "v1" } ]
2023-12-06
[ [ "Balsa", "Ero", "" ], [ "Shvartzshnaider", "Yan", "" ] ]
Privacy enhancing technologies, or PETs, have been hailed as a promising means to protect privacy without compromising on the functionality of digital services. At the same time, and partly because they may encode a narrow conceptualization of privacy as confidentiality that is popular among policymakers, engineers and...
1404.4888
Isadora Nun Ms
Isadora Nun, Karim Pichara, Pavlos Protopapas, Dae-Won Kim
Supervised detection of anomalous light-curves in massive astronomical catalogs
16 pages, 18 figures, published in The Astrophysical Journal
2014, ApJ, 793, 23
10.1088/0004-637X/793/1/23
null
cs.CE astro-ph.IM cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The development of synoptic sky surveys has led to a massive amount of data for which resources needed for analysis are beyond human capabilities. To process this information and to extract all possible knowledge, machine learning techniques become necessary. Here we present a new method to automatically discover unk...
[ { "created": "Fri, 18 Apr 2014 21:12:13 GMT", "version": "v1" }, { "created": "Wed, 3 Sep 2014 15:50:49 GMT", "version": "v2" }, { "created": "Wed, 27 May 2015 21:27:11 GMT", "version": "v3" } ]
2015-05-29
[ [ "Nun", "Isadora", "" ], [ "Pichara", "Karim", "" ], [ "Protopapas", "Pavlos", "" ], [ "Kim", "Dae-Won", "" ] ]
The development of synoptic sky surveys has led to a massive amount of data for which resources needed for analysis are beyond human capabilities. To process this information and to extract all possible knowledge, machine learning techniques become necessary. Here we present a new method to automatically discover unkno...
1509.04273
Konrad Dabrowski
Andreas Brandst\"adt, Konrad K. Dabrowski, Shenwei Huang, Dani\"el Paulusma
Bounding the Clique-Width of $H$-free Split Graphs
17 pages, 5 figures. An extended abstract of this paper appeared in the proceedings of EuroComb 2015
null
null
null
cs.DM math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A graph is $H$-free if it has no induced subgraph isomorphic to $H$. We continue a study into the boundedness of clique-width of subclasses of perfect graphs. We identify five new classes of $H$-free split graphs whose clique-width is bounded. Our main result, obtained by combining new and known results, provides a c...
[ { "created": "Mon, 14 Sep 2015 20:07:31 GMT", "version": "v1" } ]
2015-09-16
[ [ "Brandstädt", "Andreas", "" ], [ "Dabrowski", "Konrad K.", "" ], [ "Huang", "Shenwei", "" ], [ "Paulusma", "Daniël", "" ] ]
A graph is $H$-free if it has no induced subgraph isomorphic to $H$. We continue a study into the boundedness of clique-width of subclasses of perfect graphs. We identify five new classes of $H$-free split graphs whose clique-width is bounded. Our main result, obtained by combining new and known results, provides a cla...
2206.01966
Sajjad Karimian
B Rahimi, S Karimian, A Ghaznavi, M Jafari Heydarlou
Development and Evaluation of Dental Image Exchange and Management System: A User-Centered Perspective
3 figures, 5 tables
null
null
null
cs.HC cs.IR cs.MM cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Introduction: Systems that exist in the hospital or clinic settings are capable of providing services in the physical environment. These systems (e.g., Picture Archiving and communication systems) provide remote service for patients. To design such systems, we need some unique methods such as software development lif...
[ { "created": "Sat, 4 Jun 2022 11:16:43 GMT", "version": "v1" } ]
2024-04-23
[ [ "Rahimi", "B", "" ], [ "Karimian", "S", "" ], [ "Ghaznavi", "A", "" ], [ "Heydarlou", "M Jafari", "" ] ]
Introduction: Systems that exist in the hospital or clinic settings are capable of providing services in the physical environment. These systems (e.g., Picture Archiving and communication systems) provide remote service for patients. To design such systems, we need some unique methods such as software development life ...
2405.13094
Kun Xie
Yusong Zhang, Kun Xie, Xingyi Zhang, Xiangyu Dong, Sibo Wang
KPG: Key Propagation Graph Generator for Rumor Detection based on Reinforcement Learning
null
null
null
null
cs.SI cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The proliferation of rumors on social media platforms during significant events, such as the US elections and the COVID-19 pandemic, has a profound impact on social stability and public health. Existing approaches for rumor detection primarily rely on propagation graphs to enhance model effectiveness. However, the pr...
[ { "created": "Tue, 21 May 2024 13:13:43 GMT", "version": "v1" } ]
2024-05-24
[ [ "Zhang", "Yusong", "" ], [ "Xie", "Kun", "" ], [ "Zhang", "Xingyi", "" ], [ "Dong", "Xiangyu", "" ], [ "Wang", "Sibo", "" ] ]
The proliferation of rumors on social media platforms during significant events, such as the US elections and the COVID-19 pandemic, has a profound impact on social stability and public health. Existing approaches for rumor detection primarily rely on propagation graphs to enhance model effectiveness. However, the pres...
2402.08690
Dobromir Dotov
Dobromir Dotov, Dante Camarena, Zack Harris, Joanna Spyra, Pietro Gagliano, Laurel Trainor
If Turing played piano with an artificial partner
null
null
null
null
cs.SI cs.AI cs.LG cs.SD
http://creativecommons.org/licenses/by-nc-nd/4.0/
Music is an inherently social activity that allows people to share experiences and feel connected with one another. There has been little progress in designing artificial partners exhibiting a similar social experience as playing with another person. Neural network architectures that implement generative models, such...
[ { "created": "Fri, 9 Feb 2024 18:43:48 GMT", "version": "v1" } ]
2024-02-15
[ [ "Dotov", "Dobromir", "" ], [ "Camarena", "Dante", "" ], [ "Harris", "Zack", "" ], [ "Spyra", "Joanna", "" ], [ "Gagliano", "Pietro", "" ], [ "Trainor", "Laurel", "" ] ]
Music is an inherently social activity that allows people to share experiences and feel connected with one another. There has been little progress in designing artificial partners exhibiting a similar social experience as playing with another person. Neural network architectures that implement generative models, such a...
2402.09216
Sankalan Pal Chowdhury
Sankalan Pal Chowdhury, Vil\'em Zouhar, Mrinmaya Sachan
AutoTutor meets Large Language Models: A Language Model Tutor with Rich Pedagogy and Guardrails
To be presented at Learning@Scale 2024
null
null
null
cs.CL cs.HC
http://creativecommons.org/licenses/by/4.0/
Large Language Models (LLMs) have found several use cases in education, ranging from automatic question generation to essay evaluation. In this paper, we explore the potential of using Large Language Models (LLMs) to author Intelligent Tutoring Systems. A common pitfall of LLMs is their straying from desired pedagogi...
[ { "created": "Wed, 14 Feb 2024 14:53:56 GMT", "version": "v1" }, { "created": "Tue, 27 Feb 2024 11:27:27 GMT", "version": "v2" }, { "created": "Thu, 25 Apr 2024 13:15:55 GMT", "version": "v3" } ]
2024-04-26
[ [ "Chowdhury", "Sankalan Pal", "" ], [ "Zouhar", "Vilém", "" ], [ "Sachan", "Mrinmaya", "" ] ]
Large Language Models (LLMs) have found several use cases in education, ranging from automatic question generation to essay evaluation. In this paper, we explore the potential of using Large Language Models (LLMs) to author Intelligent Tutoring Systems. A common pitfall of LLMs is their straying from desired pedagogica...
1905.04727
Milan Gritta
Milan Gritta
A Comparison of Techniques for Sentiment Classification of Film Reviews
A short paper from my MPhil in Advanced Computer Science (2014-15)
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We undertake the task of comparing lexicon-based sentiment classification of film reviews with machine learning approaches. We look at existing methodologies and attempt to emulate and improve on them using a 'given' lexicon and a bag-of-words approach. We also utilise syntactical information such as part-of-speech a...
[ { "created": "Sun, 12 May 2019 14:19:28 GMT", "version": "v1" } ]
2019-05-14
[ [ "Gritta", "Milan", "" ] ]
We undertake the task of comparing lexicon-based sentiment classification of film reviews with machine learning approaches. We look at existing methodologies and attempt to emulate and improve on them using a 'given' lexicon and a bag-of-words approach. We also utilise syntactical information such as part-of-speech and...
2001.08680
Zijie Zhuang
Zijie Zhuang, Longhui Wei, Lingxi Xie, Tianyu Zhang, Hengheng Zhang, Haozhe Wu, Haizhou Ai, and Qi Tian
Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch Normalization
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The fundamental difficulty in person re-identification (ReID) lies in learning the correspondence among individual cameras. It strongly demands costly inter-camera annotations, yet the trained models are not guaranteed to transfer well to previously unseen cameras. These problems significantly limit the application o...
[ { "created": "Thu, 23 Jan 2020 17:22:34 GMT", "version": "v1" }, { "created": "Tue, 31 Mar 2020 14:42:17 GMT", "version": "v2" }, { "created": "Sat, 18 Jul 2020 15:37:06 GMT", "version": "v3" } ]
2020-07-21
[ [ "Zhuang", "Zijie", "" ], [ "Wei", "Longhui", "" ], [ "Xie", "Lingxi", "" ], [ "Zhang", "Tianyu", "" ], [ "Zhang", "Hengheng", "" ], [ "Wu", "Haozhe", "" ], [ "Ai", "Haizhou", "" ], [ "Tian", "Qi...
The fundamental difficulty in person re-identification (ReID) lies in learning the correspondence among individual cameras. It strongly demands costly inter-camera annotations, yet the trained models are not guaranteed to transfer well to previously unseen cameras. These problems significantly limit the application of ...
1903.10343
Yassir Jedra
Yassir Jedra and Alexandre Proutiere
Sample Complexity Lower Bounds for Linear System Identification
null
null
null
null
cs.SY cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper establishes problem-specific sample complexity lower bounds for linear system identification problems. The sample complexity is defined in the PAC framework: it corresponds to the time it takes to identify the system parameters with prescribed accuracy and confidence levels. By problem-specific, we mean th...
[ { "created": "Mon, 25 Mar 2019 14:06:27 GMT", "version": "v1" } ]
2019-03-26
[ [ "Jedra", "Yassir", "" ], [ "Proutiere", "Alexandre", "" ] ]
This paper establishes problem-specific sample complexity lower bounds for linear system identification problems. The sample complexity is defined in the PAC framework: it corresponds to the time it takes to identify the system parameters with prescribed accuracy and confidence levels. By problem-specific, we mean that...
2312.13913
Xianfang Zeng
Xianfang Zeng, Xin Chen, Zhongqi Qi, Wen Liu, Zibo Zhao, Zhibin Wang, Bin Fu, Yong Liu, Gang Yu
Paint3D: Paint Anything 3D with Lighting-Less Texture Diffusion Models
Project Website: https://github.com/OpenTexture/Paint3D
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
This paper presents Paint3D, a novel coarse-to-fine generative framework that is capable of producing high-resolution, lighting-less, and diverse 2K UV texture maps for untextured 3D meshes conditioned on text or image inputs. The key challenge addressed is generating high-quality textures without embedded illuminati...
[ { "created": "Thu, 21 Dec 2023 15:01:47 GMT", "version": "v1" }, { "created": "Fri, 22 Dec 2023 06:27:43 GMT", "version": "v2" } ]
2023-12-25
[ [ "Zeng", "Xianfang", "" ], [ "Chen", "Xin", "" ], [ "Qi", "Zhongqi", "" ], [ "Liu", "Wen", "" ], [ "Zhao", "Zibo", "" ], [ "Wang", "Zhibin", "" ], [ "Fu", "Bin", "" ], [ "Liu", "Yong", "" ]...
This paper presents Paint3D, a novel coarse-to-fine generative framework that is capable of producing high-resolution, lighting-less, and diverse 2K UV texture maps for untextured 3D meshes conditioned on text or image inputs. The key challenge addressed is generating high-quality textures without embedded illumination...
2312.08822
Fengheng Li
Zhaochen Li, Fengheng Li, Wei Feng, Honghe Zhu, An Liu, Yaoyu Li, Zheng Zhang, Jingjing Lv, Xin Zhu, Junjie Shen, Zhangang Lin, Jingping Shao, Zhenglu Yang
Planning and Rendering: Towards End-to-End Product Poster Generation
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
End-to-end product poster generation significantly optimizes design efficiency and reduces production costs. Prevailing methods predominantly rely on image-inpainting methods to generate clean background images for given products. Subsequently, poster layout generation methods are employed to produce corresponding la...
[ { "created": "Thu, 14 Dec 2023 11:11:50 GMT", "version": "v1" } ]
2023-12-15
[ [ "Li", "Zhaochen", "" ], [ "Li", "Fengheng", "" ], [ "Feng", "Wei", "" ], [ "Zhu", "Honghe", "" ], [ "Liu", "An", "" ], [ "Li", "Yaoyu", "" ], [ "Zhang", "Zheng", "" ], [ "Lv", "Jingjing", ""...
End-to-end product poster generation significantly optimizes design efficiency and reduces production costs. Prevailing methods predominantly rely on image-inpainting methods to generate clean background images for given products. Subsequently, poster layout generation methods are employed to produce corresponding layo...
2112.00331
Ruiyang Liu
Ruiyang Liu, Predrag K. Nikolic
Mutltimodal AI Companion for Interactive Fairytale Co-creation
null
null
null
null
cs.MM
http://creativecommons.org/licenses/by-nc-nd/4.0/
AI fairy tale companions play an important role in early childhood education as an augmentation for parents' efforts to close the participation gap and boost kids' mental and language development. Existing systems are generally designed to provide vivid materials as unidirectional entertaining reading environments, e...
[ { "created": "Wed, 1 Dec 2021 07:53:38 GMT", "version": "v1" } ]
2021-12-02
[ [ "Liu", "Ruiyang", "" ], [ "Nikolic", "Predrag K.", "" ] ]
AI fairy tale companions play an important role in early childhood education as an augmentation for parents' efforts to close the participation gap and boost kids' mental and language development. Existing systems are generally designed to provide vivid materials as unidirectional entertaining reading environments, e.g...
2101.00443
Sourav Garg
Sourav Garg, Niko S\"underhauf, Feras Dayoub, Douglas Morrison, Akansel Cosgun, Gustavo Carneiro, Qi Wu, Tat-Jun Chin, Ian Reid, Stephen Gould, Peter Corke, Michael Milford
Semantics for Robotic Mapping, Perception and Interaction: A Survey
81 pages, 1 figure, published in Foundations and Trends in Robotics, 2020
Foundations and Trends in Robotics: Vol. 8: No. 1-2, pp 1-224 (2020)
10.1561/2300000059
null
cs.RO cs.CV cs.HC cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
For robots to navigate and interact more richly with the world around them, they will likely require a deeper understanding of the world in which they operate. In robotics and related research fields, the study of understanding is often referred to as semantics, which dictates what does the world "mean" to a robot, a...
[ { "created": "Sat, 2 Jan 2021 12:34:39 GMT", "version": "v1" } ]
2021-01-05
[ [ "Garg", "Sourav", "" ], [ "Sünderhauf", "Niko", "" ], [ "Dayoub", "Feras", "" ], [ "Morrison", "Douglas", "" ], [ "Cosgun", "Akansel", "" ], [ "Carneiro", "Gustavo", "" ], [ "Wu", "Qi", "" ], [ "Chi...
For robots to navigate and interact more richly with the world around them, they will likely require a deeper understanding of the world in which they operate. In robotics and related research fields, the study of understanding is often referred to as semantics, which dictates what does the world "mean" to a robot, and...
2204.03538
David Puljiz
David Puljiz, Bj\"orn Hein
Updating Industrial Robots for Emerging Technologies
As accepted to the 2nd International Workshop on Designerly HRI; HRI 2022
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Industrial arms need to evolve beyond their standard shape to embrace new and emerging technologies. In this paper, we shall first perform an analysis of four popular but different modern industrial robot arms. By seeing the common trends we will try to extrapolate and expand these trends for the future. Here, partic...
[ { "created": "Thu, 7 Apr 2022 16:08:02 GMT", "version": "v1" }, { "created": "Tue, 28 Mar 2023 15:36:57 GMT", "version": "v2" } ]
2023-03-29
[ [ "Puljiz", "David", "" ], [ "Hein", "Björn", "" ] ]
Industrial arms need to evolve beyond their standard shape to embrace new and emerging technologies. In this paper, we shall first perform an analysis of four popular but different modern industrial robot arms. By seeing the common trends we will try to extrapolate and expand these trends for the future. Here, particul...
2407.01905
Jiawei Zhan
Jiawei Zhan, Jinxiang Lai, Bin-Bin Gao, Jun Liu, Xiaochen Chen, Chengjie Wang
Enhancing Multi-Class Anomaly Detection via Diffusion Refinement with Dual Conditioning
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Anomaly detection, the technique of identifying abnormal samples using only normal samples, has attracted widespread interest in industry. Existing one-model-per-category methods often struggle with limited generalization capabilities due to their focus on a single category, and can fail when encountering variations ...
[ { "created": "Tue, 2 Jul 2024 03:09:40 GMT", "version": "v1" } ]
2024-07-03
[ [ "Zhan", "Jiawei", "" ], [ "Lai", "Jinxiang", "" ], [ "Gao", "Bin-Bin", "" ], [ "Liu", "Jun", "" ], [ "Chen", "Xiaochen", "" ], [ "Wang", "Chengjie", "" ] ]
Anomaly detection, the technique of identifying abnormal samples using only normal samples, has attracted widespread interest in industry. Existing one-model-per-category methods often struggle with limited generalization capabilities due to their focus on a single category, and can fail when encountering variations in...
1506.03378
Lihong Li
Che-Yu Liu and Lihong Li
On the Prior Sensitivity of Thompson Sampling
Appears in the 27th International Conference on Algorithmic Learning Theory (ALT), 2016
null
null
null
cs.LG cs.AI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The empirically successful Thompson Sampling algorithm for stochastic bandits has drawn much interest in understanding its theoretical properties. One important benefit of the algorithm is that it allows domain knowledge to be conveniently encoded as a prior distribution to balance exploration and exploitation more e...
[ { "created": "Wed, 10 Jun 2015 16:22:26 GMT", "version": "v1" }, { "created": "Thu, 21 Jul 2016 01:43:09 GMT", "version": "v2" } ]
2016-07-22
[ [ "Liu", "Che-Yu", "" ], [ "Li", "Lihong", "" ] ]
The empirically successful Thompson Sampling algorithm for stochastic bandits has drawn much interest in understanding its theoretical properties. One important benefit of the algorithm is that it allows domain knowledge to be conveniently encoded as a prior distribution to balance exploration and exploitation more eff...
2005.12409
Petar Radanliev
Petar Radanliev, David De Roure, Max Van Kleek
Digitalization of COVID-19 pandemic management and cyber risk from connected systems
null
null
null
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
What makes cyber risks arising from connected systems challenging during the management of a pandemic? Assuming that a variety of cyber-physical systems are already operational-collecting, analyzing, and acting on data autonomously-what risks might arise in their application to pandemic management? We already have th...
[ { "created": "Mon, 25 May 2020 21:19:28 GMT", "version": "v1" } ]
2020-05-27
[ [ "Radanliev", "Petar", "" ], [ "De Roure", "David", "" ], [ "Van Kleek", "Max", "" ] ]
What makes cyber risks arising from connected systems challenging during the management of a pandemic? Assuming that a variety of cyber-physical systems are already operational-collecting, analyzing, and acting on data autonomously-what risks might arise in their application to pandemic management? We already have thes...
1507.04537
Nils Vortmeier
Thomas Schwentick, Nils Vortmeier, Thomas Zeume
Static Analysis for Logic-Based Dynamic Programs
null
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A dynamic program, as introduced by Patnaik and Immerman (1994), maintains the result of a fixed query for an input database which is subject to tuple insertions and deletions. It can use an auxiliary database whose relations are updated via first-order formulas upon modifications of the input database. This paper st...
[ { "created": "Thu, 16 Jul 2015 12:07:18 GMT", "version": "v1" } ]
2015-07-17
[ [ "Schwentick", "Thomas", "" ], [ "Vortmeier", "Nils", "" ], [ "Zeume", "Thomas", "" ] ]
A dynamic program, as introduced by Patnaik and Immerman (1994), maintains the result of a fixed query for an input database which is subject to tuple insertions and deletions. It can use an auxiliary database whose relations are updated via first-order formulas upon modifications of the input database. This paper stud...
1905.03633
Jan Kotera
Jan Kotera, Denys Rozumnyi, Filip \v{S}roubek, Ji\v{r}\'i Matas
Intra-frame Object Tracking by Deblatting
null
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)
10.1109/ICCVW.2019.00283
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Objects moving at high speed along complex trajectories often appear in videos, especially videos of sports. Such objects elapse non-negligible distance during exposure time of a single frame and therefore their position in the frame is not well defined. They appear as semi-transparent streaks due to the motion blur ...
[ { "created": "Thu, 9 May 2019 13:48:01 GMT", "version": "v1" }, { "created": "Thu, 20 Jun 2019 11:17:14 GMT", "version": "v2" } ]
2020-06-03
[ [ "Kotera", "Jan", "" ], [ "Rozumnyi", "Denys", "" ], [ "Šroubek", "Filip", "" ], [ "Matas", "Jiří", "" ] ]
Objects moving at high speed along complex trajectories often appear in videos, especially videos of sports. Such objects elapse non-negligible distance during exposure time of a single frame and therefore their position in the frame is not well defined. They appear as semi-transparent streaks due to the motion blur an...
2305.14243
Manuel Tran
Manuel Tran, Yashin Dicente Cid, Amal Lahiani, Fabian J. Theis, Tingying Peng, Eldad Klaiman
Training Transitive and Commutative Multimodal Transformers with LoReTTa
Accepted at NeurIPS 2023 (poster). Camera-ready version
null
null
null
cs.AI cs.CV
http://creativecommons.org/licenses/by/4.0/
Training multimodal foundation models is challenging due to the limited availability of multimodal datasets. While many public datasets pair images with text, few combine images with audio or text with audio. Even rarer are datasets that align all three modalities at once. Critical domains such as healthcare, infrast...
[ { "created": "Tue, 23 May 2023 16:58:55 GMT", "version": "v1" }, { "created": "Mon, 29 May 2023 08:37:21 GMT", "version": "v2" }, { "created": "Tue, 27 Jun 2023 09:00:35 GMT", "version": "v3" }, { "created": "Sun, 24 Sep 2023 13:01:29 GMT", "version": "v4" }, { "c...
2024-01-18
[ [ "Tran", "Manuel", "" ], [ "Cid", "Yashin Dicente", "" ], [ "Lahiani", "Amal", "" ], [ "Theis", "Fabian J.", "" ], [ "Peng", "Tingying", "" ], [ "Klaiman", "Eldad", "" ] ]
Training multimodal foundation models is challenging due to the limited availability of multimodal datasets. While many public datasets pair images with text, few combine images with audio or text with audio. Even rarer are datasets that align all three modalities at once. Critical domains such as healthcare, infrastru...
2107.06744
Reshma Rastogi
Reshma Rastogi (nee. Khemchandani) and Aman Pal
Efficient Learning of Pinball TWSVM using Privileged Information and its applications
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
In any learning framework, an expert knowledge always plays a crucial role. But, in the field of machine learning, the knowledge offered by an expert is rarely used. Moreover, machine learning algorithms (SVM based) generally use hinge loss function which is sensitive towards the noise. Thus, in order to get the adva...
[ { "created": "Wed, 14 Jul 2021 14:42:07 GMT", "version": "v1" } ]
2021-07-15
[ [ "Rastogi", "Reshma", "", "nee. Khemchandani" ], [ "Pal", "Aman", "" ] ]
In any learning framework, an expert knowledge always plays a crucial role. But, in the field of machine learning, the knowledge offered by an expert is rarely used. Moreover, machine learning algorithms (SVM based) generally use hinge loss function which is sensitive towards the noise. Thus, in order to get the advant...
1109.6273
Robert Simmons
Robert J. Simmons
Structural focalization
A Twelf formalization is included and an Agda formalization is available at https://github.com/robsimmons/agda-lib/tree/focalization
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Focusing, introduced by Jean-Marc Andreoli in the context of classical linear logic, defines a normal form for sequent calculus derivations that cuts down on the number of possible derivations by eagerly applying invertible rules and grouping sequences of non-invertible rules. A focused sequent calculus is defined re...
[ { "created": "Wed, 28 Sep 2011 17:01:11 GMT", "version": "v1" }, { "created": "Sat, 7 Jan 2012 23:52:03 GMT", "version": "v2" }, { "created": "Sat, 14 Jan 2012 00:57:07 GMT", "version": "v3" }, { "created": "Mon, 13 Aug 2012 21:02:09 GMT", "version": "v4" }, { "cr...
2014-03-18
[ [ "Simmons", "Robert J.", "" ] ]
Focusing, introduced by Jean-Marc Andreoli in the context of classical linear logic, defines a normal form for sequent calculus derivations that cuts down on the number of possible derivations by eagerly applying invertible rules and grouping sequences of non-invertible rules. A focused sequent calculus is defined rela...
1407.0039
Edinah Gnang K
Edinah K. Gnang
Integer formula encoding SageTeX package
null
null
null
null
cs.MS math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The paper describes a SageTeX implementation of an integer encoding procedures.
[ { "created": "Fri, 27 Jun 2014 00:13:14 GMT", "version": "v1" } ]
2014-07-02
[ [ "Gnang", "Edinah K.", "" ] ]
The paper describes a SageTeX implementation of an integer encoding procedures.
2303.12506
Eden Hartman
Eden Hartman, Avinatan Hassidim, Yonatan Aumann and Erel Segal-Halevi
Leximin Approximation: From Single-Objective to Multi-Objective
null
null
null
null
cs.GT cs.DS cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Leximin is a common approach to multi-objective optimization, frequently employed in fair division applications. In leximin optimization, one first aims to maximize the smallest objective value; subject to this, one maximizes the second-smallest objective; and so on. Often, even the single-objective problem of maximi...
[ { "created": "Wed, 22 Mar 2023 12:27:15 GMT", "version": "v1" }, { "created": "Sun, 4 Jun 2023 00:28:11 GMT", "version": "v2" }, { "created": "Mon, 31 Jul 2023 09:17:37 GMT", "version": "v3" }, { "created": "Thu, 28 Sep 2023 14:51:57 GMT", "version": "v4" } ]
2023-09-29
[ [ "Hartman", "Eden", "" ], [ "Hassidim", "Avinatan", "" ], [ "Aumann", "Yonatan", "" ], [ "Segal-Halevi", "Erel", "" ] ]
Leximin is a common approach to multi-objective optimization, frequently employed in fair division applications. In leximin optimization, one first aims to maximize the smallest objective value; subject to this, one maximizes the second-smallest objective; and so on. Often, even the single-objective problem of maximizi...
1204.1726
Edoardo Di Napoli
Lukas Kr\"amer, Edoardo Di Napoli, Martin Galgon, Bruno Lang, and Paolo Bientinesi
Dissecting the FEAST algorithm for generalized eigenproblems
11 Pages, 5 Figures. Submitted to Journal of Computational and Applied Mathematics
null
null
null
cs.NA math.NA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We analyze the FEAST method for computing selected eigenvalues and eigenvectors of large sparse matrix pencils. After establishing the close connection between FEAST and the well-known Rayleigh-Ritz method, we identify several critical issues that influence convergence and accuracy of the solver: the choice of the st...
[ { "created": "Sun, 8 Apr 2012 10:32:18 GMT", "version": "v1" } ]
2012-04-10
[ [ "Krämer", "Lukas", "" ], [ "Di Napoli", "Edoardo", "" ], [ "Galgon", "Martin", "" ], [ "Lang", "Bruno", "" ], [ "Bientinesi", "Paolo", "" ] ]
We analyze the FEAST method for computing selected eigenvalues and eigenvectors of large sparse matrix pencils. After establishing the close connection between FEAST and the well-known Rayleigh-Ritz method, we identify several critical issues that influence convergence and accuracy of the solver: the choice of the star...
2312.03579
Minna Hirvonen
Minna Hirvonen
The Implication Problem for Functional Dependencies and Variants of Marginal Distribution Equivalences
23 pages, improved version after reviewer comments, results unchanged
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study functional dependencies together with two different probabilistic dependency notions: unary marginal identity and unary marginal distribution equivalence. A unary marginal identity states that two variables x and y are identically distributed. A unary marginal distribution equivalence states that the multise...
[ { "created": "Wed, 6 Dec 2023 16:15:16 GMT", "version": "v1" }, { "created": "Fri, 17 May 2024 15:50:55 GMT", "version": "v2" } ]
2024-05-20
[ [ "Hirvonen", "Minna", "" ] ]
We study functional dependencies together with two different probabilistic dependency notions: unary marginal identity and unary marginal distribution equivalence. A unary marginal identity states that two variables x and y are identically distributed. A unary marginal distribution equivalence states that the multiset ...
cs/0001019
Joseph O'Rourke
Erik D. Demaine, Martin L. Demaine, Joseph O'Rourke
PushPush is NP-hard in 2D
18 pages, 13 figures, 1 table. Improves cs.CG/9911013
null
null
Smith Technical Report 065
cs.CG cs.DM
null
We prove that a particular pushing-blocks puzzle is intractable in 2D, improving an earlier result that established intractability in 3D [OS99]. The puzzle, inspired by the game *PushPush*, consists of unit square blocks on an integer lattice. An agent may push blocks (but never pull them) in attempting to move betwe...
[ { "created": "Mon, 24 Jan 2000 14:04:42 GMT", "version": "v1" } ]
2007-05-23
[ [ "Demaine", "Erik D.", "" ], [ "Demaine", "Martin L.", "" ], [ "O'Rourke", "Joseph", "" ] ]
We prove that a particular pushing-blocks puzzle is intractable in 2D, improving an earlier result that established intractability in 3D [OS99]. The puzzle, inspired by the game *PushPush*, consists of unit square blocks on an integer lattice. An agent may push blocks (but never pull them) in attempting to move between...
2202.06140
Negin Nikafrooz
Negin Nikafrooz, Zachary Fuge, Alexander Leonessa
Grasp Control of a Cable-Driven Robotic Hand Using a PVDF Slip Detection Sensor
null
null
null
null
cs.RO cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Detecting and preventing slip is a major challenge in robotic hand operation, underpinning the robot's ability to perform safe and reliable grasps. Using the robotic hand design from the authors' earlier work, a sensing and control strategy is proposed here to prevent object slippage. The robotic hand is cable-driven...
[ { "created": "Sat, 12 Feb 2022 20:51:12 GMT", "version": "v1" } ]
2022-02-15
[ [ "Nikafrooz", "Negin", "" ], [ "Fuge", "Zachary", "" ], [ "Leonessa", "Alexander", "" ] ]
Detecting and preventing slip is a major challenge in robotic hand operation, underpinning the robot's ability to perform safe and reliable grasps. Using the robotic hand design from the authors' earlier work, a sensing and control strategy is proposed here to prevent object slippage. The robotic hand is cable-driven, ...
2203.01497
Shubham Singh
Shubham Singh, Ryan P. Russell and Patrick M. Wensing
Analytical Second-Order Partial Derivatives of Rigid-Body Inverse Dynamics
Accepted for IROS 2022 (Oct 23-27, 2022 Kyoto)
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Optimization-based robot control strategies often rely on first-order dynamics approximation methods, as in iLQR. Using second-order approximations of the dynamics is expensive due to the costly second-order partial derivatives of the dynamics with respect to the state and control. Current approaches for calculating ...
[ { "created": "Thu, 3 Mar 2022 03:21:06 GMT", "version": "v1" }, { "created": "Sun, 14 Aug 2022 21:55:26 GMT", "version": "v2" } ]
2022-08-16
[ [ "Singh", "Shubham", "" ], [ "Russell", "Ryan P.", "" ], [ "Wensing", "Patrick M.", "" ] ]
Optimization-based robot control strategies often rely on first-order dynamics approximation methods, as in iLQR. Using second-order approximations of the dynamics is expensive due to the costly second-order partial derivatives of the dynamics with respect to the state and control. Current approaches for calculating th...
1305.7167
Pavel Zaichenkov
Pavel Zaichenkov (1 and 4), Bert Gijsbers (2 and 3), Clemens Grelck (3), Olga Tveretina (1), Alex Shafarenko (1) ((1) University of Hertfordshire, (2) Ghent University, (3) University of Amsterdam, (4) Moscow Institute of Physics and Technology)
A Case Study in Coordination Programming: Performance Evaluation of S-Net vs Intel's Concurrent Collections
9 pages, 8 figures, 1 table, accepted for PLC 2014 workshop
null
null
null
cs.PL cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a programming methodology and runtime performance case study comparing the declarative data flow coordination language S-Net with Intel's Concurrent Collections (CnC). As a coordination language S-Net achieves a near-complete separation of concerns between sequential software components implemented in a se...
[ { "created": "Thu, 30 May 2013 17:21:26 GMT", "version": "v1" }, { "created": "Sat, 15 Jun 2013 11:01:14 GMT", "version": "v2" }, { "created": "Thu, 7 Nov 2013 00:40:07 GMT", "version": "v3" }, { "created": "Thu, 3 Apr 2014 12:24:47 GMT", "version": "v4" } ]
2014-04-04
[ [ "Zaichenkov", "Pavel", "", "1 and 4" ], [ "Gijsbers", "Bert", "", "2 and 3" ], [ "Grelck", "Clemens", "" ], [ "Tveretina", "Olga", "" ], [ "Shafarenko", "Alex", "" ] ]
We present a programming methodology and runtime performance case study comparing the declarative data flow coordination language S-Net with Intel's Concurrent Collections (CnC). As a coordination language S-Net achieves a near-complete separation of concerns between sequential software components implemented in a sepa...
2006.10592
Nitin Saurabh
Balagopal Komarath and Nitin Saurabh
On the complexity of detecting hazards
To appear in Information Processing Letters
null
null
null
cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Detecting and eliminating logic hazards in Boolean circuits is a fundamental problem in logic circuit design. We show that there is no $O(3^{(1-\epsilon)n} \text{poly}(s))$ time algorithm, for any $\epsilon > 0$, that detects logic hazards in Boolean circuits of size $s$ on $n$ variables under the assumption that the...
[ { "created": "Thu, 18 Jun 2020 14:55:08 GMT", "version": "v1" } ]
2020-06-19
[ [ "Komarath", "Balagopal", "" ], [ "Saurabh", "Nitin", "" ] ]
Detecting and eliminating logic hazards in Boolean circuits is a fundamental problem in logic circuit design. We show that there is no $O(3^{(1-\epsilon)n} \text{poly}(s))$ time algorithm, for any $\epsilon > 0$, that detects logic hazards in Boolean circuits of size $s$ on $n$ variables under the assumption that the s...
cs/0510058
Peter Jung
Peter Jung
Precoding for 2x2 Doubly-Dispersive WSSUS Channels
6 pages, 6th International ITG-Conference on Source and Channel Coding (SCC 2006), Apr., 2006, Munich, typos corrected
null
null
null
cs.IT math.IT
null
Optimal link adaption to the scattering function of wide sense stationary uncorrelated scattering (WSSUS) mobile communication channels is still an unsolved problem despite its importance for next-generation system design. In multicarrier transmission such link adaption is performed by pulse shaping which in turn is ...
[ { "created": "Thu, 20 Oct 2005 14:57:12 GMT", "version": "v1" }, { "created": "Mon, 16 Jan 2006 09:06:09 GMT", "version": "v2" } ]
2007-07-13
[ [ "Jung", "Peter", "" ] ]
Optimal link adaption to the scattering function of wide sense stationary uncorrelated scattering (WSSUS) mobile communication channels is still an unsolved problem despite its importance for next-generation system design. In multicarrier transmission such link adaption is performed by pulse shaping which in turn is eq...
1810.09379
Alexandre Rademaker
Alessandra Cid and Alexandre Rademaker and Bruno Cuconato and Valeria de Paiva
Linguistic Legal Concept Extraction in Portuguese
This work was accepted for publication in the JURIX 2018 (http://jurix2018.ai.rug.nl) in a short 5-pages version
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
This work investigates legal concepts and their expression in Portuguese, concentrating on the "Order of Attorneys of Brazil" Bar exam. Using a corpus formed by a collection of multiple-choice questions, three norms related to the Ethics part of the OAB exam, language resources (Princeton WordNet and OpenWordNet-PT) ...
[ { "created": "Mon, 22 Oct 2018 15:58:57 GMT", "version": "v1" } ]
2018-10-23
[ [ "Cid", "Alessandra", "" ], [ "Rademaker", "Alexandre", "" ], [ "Cuconato", "Bruno", "" ], [ "de Paiva", "Valeria", "" ] ]
This work investigates legal concepts and their expression in Portuguese, concentrating on the "Order of Attorneys of Brazil" Bar exam. Using a corpus formed by a collection of multiple-choice questions, three norms related to the Ethics part of the OAB exam, language resources (Princeton WordNet and OpenWordNet-PT) an...
1309.5439
Mickael Randour
V\'eronique Bruy\`ere, Emmanuel Filiot, Mickael Randour and Jean-Fran\c{c}ois Raskin
Meet Your Expectations With Guarantees: Beyond Worst-Case Synthesis in Quantitative Games
Extended version. Journal version published in Information and Computation, conference version published in STACS 2014
null
null
null
cs.GT cs.FL cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We extend the quantitative synthesis framework by going beyond the worst-case. On the one hand, classical analysis of two-player games involves an adversary (modeling the environment of the system) which is purely antagonistic and asks for strict guarantees. On the other hand, stochastic models like Markov decision p...
[ { "created": "Sat, 21 Sep 2013 05:44:00 GMT", "version": "v1" }, { "created": "Tue, 8 Oct 2013 18:30:41 GMT", "version": "v2" }, { "created": "Thu, 2 Jan 2014 10:13:00 GMT", "version": "v3" }, { "created": "Wed, 29 Oct 2014 18:31:34 GMT", "version": "v4" }, { "cre...
2015-11-02
[ [ "Bruyère", "Véronique", "" ], [ "Filiot", "Emmanuel", "" ], [ "Randour", "Mickael", "" ], [ "Raskin", "Jean-François", "" ] ]
We extend the quantitative synthesis framework by going beyond the worst-case. On the one hand, classical analysis of two-player games involves an adversary (modeling the environment of the system) which is purely antagonistic and asks for strict guarantees. On the other hand, stochastic models like Markov decision pro...
1811.07126
Xue Yang
Xue Yang, Jirui Yang, Junchi Yan, Yue Zhang, Tengfei Zhang, Zhi Guo, Sun Xian and Kun Fu
SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects
10 pages, 10 figures, 6 tables, ICCV2019
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Object detection has been a building block in computer vision. Though considerable progress has been made, there still exist challenges for objects with small size, arbitrary direction, and dense distribution. Apart from natural images, such issues are especially pronounced for aerial images of great importance. This...
[ { "created": "Sat, 17 Nov 2018 08:24:25 GMT", "version": "v1" }, { "created": "Tue, 20 Nov 2018 08:22:24 GMT", "version": "v2" }, { "created": "Thu, 1 Aug 2019 06:50:29 GMT", "version": "v3" }, { "created": "Sat, 10 Aug 2019 02:53:31 GMT", "version": "v4" } ]
2019-08-13
[ [ "Yang", "Xue", "" ], [ "Yang", "Jirui", "" ], [ "Yan", "Junchi", "" ], [ "Zhang", "Yue", "" ], [ "Zhang", "Tengfei", "" ], [ "Guo", "Zhi", "" ], [ "Xian", "Sun", "" ], [ "Fu", "Kun", "" ] ...
Object detection has been a building block in computer vision. Though considerable progress has been made, there still exist challenges for objects with small size, arbitrary direction, and dense distribution. Apart from natural images, such issues are especially pronounced for aerial images of great importance. This p...
1507.08781
Leonid Yaroslavsky
L. Yaroslavsky
Can compressed sensing beat the Nyquist sampling rate?
null
Opt. Eng. 54(7) 079701 (2015)
10.1117/1.OE.54.7.079701
null
cs.IT math.IT physics.optics
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Data saving capability of "Compressed sensing (sampling)" in signal discretization is disputed and found to be far below the theoretical upper bound defined by the signal sparsity. On a simple and intuitive example, it is demonstrated that, in a realistic scenario for signals that are believed to be sparse, one can a...
[ { "created": "Fri, 31 Jul 2015 07:40:36 GMT", "version": "v1" } ]
2015-10-28
[ [ "Yaroslavsky", "L.", "" ] ]
Data saving capability of "Compressed sensing (sampling)" in signal discretization is disputed and found to be far below the theoretical upper bound defined by the signal sparsity. On a simple and intuitive example, it is demonstrated that, in a realistic scenario for signals that are believed to be sparse, one can ach...
1807.05798
Jimmy Lin
Jimmy Lin and Peilin Yang
Repeatability Corner Cases in Document Ranking: The Impact of Score Ties
Published in the Proceedings of the 42nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019)
null
10.1145/3331184.3331339
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Document ranking experiments should be repeatable. However, the interaction between multi-threaded indexing and score ties during retrieval may yield non-deterministic rankings, making repeatability not as trivial as one might imagine. In the context of the open-source Lucene search engine, score ties are broken by i...
[ { "created": "Mon, 16 Jul 2018 11:32:52 GMT", "version": "v1" }, { "created": "Mon, 2 Sep 2019 20:16:41 GMT", "version": "v2" } ]
2019-09-04
[ [ "Lin", "Jimmy", "" ], [ "Yang", "Peilin", "" ] ]
Document ranking experiments should be repeatable. However, the interaction between multi-threaded indexing and score ties during retrieval may yield non-deterministic rankings, making repeatability not as trivial as one might imagine. In the context of the open-source Lucene search engine, score ties are broken by int...