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1906.11278
Fatemeh Kazemi
Fatemeh Kazemi, Esmaeil Karimi, Anoosheh Heidarzadeh, and Alex Sprintson
Private Information Retrieval with Private Coded Side Information: The Multi-Server Case
11 pages
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we consider the multi-server setting of Private Information Retrieval with Private Coded Side Information (PIR-PCSI) problem. In this problem, there is a database of $K$ messages whose copies are replicated across $N$ servers, and there is a user who knows a random linear combination of a random subset...
[ { "created": "Wed, 26 Jun 2019 18:12:01 GMT", "version": "v1" } ]
2019-06-28
[ [ "Kazemi", "Fatemeh", "" ], [ "Karimi", "Esmaeil", "" ], [ "Heidarzadeh", "Anoosheh", "" ], [ "Sprintson", "Alex", "" ] ]
In this paper, we consider the multi-server setting of Private Information Retrieval with Private Coded Side Information (PIR-PCSI) problem. In this problem, there is a database of $K$ messages whose copies are replicated across $N$ servers, and there is a user who knows a random linear combination of a random subset o...
2309.04025
Kashyap Todi
Kashyap Todi, Tanya R. Jonker
A Framework for Computational Design and Adaptation of Extended Reality User Interfaces
5 pages, CHI 2023 Workshop on The Future of Computational Approaches for Understanding and Adapting User Interfaces
null
null
null
cs.HC
http://creativecommons.org/licenses/by/4.0/
To facilitate high quality interaction during the regular use of computing systems, it is essential that the user interface (UI) deliver content and components in an appropriate manner. Although extended reality (XR) is emerging as a new computing platform, we still have a limited understanding of how best to design ...
[ { "created": "Thu, 7 Sep 2023 21:37:52 GMT", "version": "v1" } ]
2023-09-11
[ [ "Todi", "Kashyap", "" ], [ "Jonker", "Tanya R.", "" ] ]
To facilitate high quality interaction during the regular use of computing systems, it is essential that the user interface (UI) deliver content and components in an appropriate manner. Although extended reality (XR) is emerging as a new computing platform, we still have a limited understanding of how best to design an...
2102.04828
Sebastian U. Stich
Lingjing Kong, Tao Lin, Anastasia Koloskova, Martin Jaggi, Sebastian U. Stich
Consensus Control for Decentralized Deep Learning
LK and TL contribute equally - ICML 2021
Proceedings of the 38th International Conference on Machine Learning (ICML), PMLR 139, 2021
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Decentralized training of deep learning models enables on-device learning over networks, as well as efficient scaling to large compute clusters. Experiments in earlier works reveal that, even in a data-center setup, decentralized training often suffers from the degradation in the quality of the model: the training an...
[ { "created": "Tue, 9 Feb 2021 13:58:33 GMT", "version": "v1" }, { "created": "Fri, 18 Jun 2021 08:15:00 GMT", "version": "v2" } ]
2021-06-21
[ [ "Kong", "Lingjing", "" ], [ "Lin", "Tao", "" ], [ "Koloskova", "Anastasia", "" ], [ "Jaggi", "Martin", "" ], [ "Stich", "Sebastian U.", "" ] ]
Decentralized training of deep learning models enables on-device learning over networks, as well as efficient scaling to large compute clusters. Experiments in earlier works reveal that, even in a data-center setup, decentralized training often suffers from the degradation in the quality of the model: the training and ...
1507.05283
Kumar Sankar Ray
Kingshuk Chatterjee, Kumar Sankar Ray
Reversible Watson-Crick Automata
arXiv admin note: text overlap with arXiv:1507.05282
null
null
null
cs.FL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Watson-Crick automata are finite automata working on double strands. Extensive research work has already been done on non-deterministic Watson-Crick automata and on deterministic Watson-Crick automata. In this paper, we introduce a new model of Watson-Crick automata which is reversible in nature named reversible Wats...
[ { "created": "Sun, 19 Jul 2015 13:00:59 GMT", "version": "v1" }, { "created": "Wed, 9 Dec 2015 07:54:05 GMT", "version": "v2" } ]
2015-12-10
[ [ "Chatterjee", "Kingshuk", "" ], [ "Ray", "Kumar Sankar", "" ] ]
Watson-Crick automata are finite automata working on double strands. Extensive research work has already been done on non-deterministic Watson-Crick automata and on deterministic Watson-Crick automata. In this paper, we introduce a new model of Watson-Crick automata which is reversible in nature named reversible Watson...
2303.10561
Peng Zou
Peng Zou, Rui Wang, Kehua Wen, Yasi Peng and Xiao Sun
Spatial-temporal Transformer for Affective Behavior Analysis
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The in-the-wild affective behavior analysis has been an important study. In this paper, we submit our solutions for the 5th Workshop and Competition on Affective Behavior Analysis in-the-wild (ABAW), which includes V-A Estimation, Facial Expression Classification and AU Detection Sub-challenges. We propose a Transfor...
[ { "created": "Sun, 19 Mar 2023 04:34:17 GMT", "version": "v1" } ]
2023-03-21
[ [ "Zou", "Peng", "" ], [ "Wang", "Rui", "" ], [ "Wen", "Kehua", "" ], [ "Peng", "Yasi", "" ], [ "Sun", "Xiao", "" ] ]
The in-the-wild affective behavior analysis has been an important study. In this paper, we submit our solutions for the 5th Workshop and Competition on Affective Behavior Analysis in-the-wild (ABAW), which includes V-A Estimation, Facial Expression Classification and AU Detection Sub-challenges. We propose a Transforme...
2011.11722
Deepali Jain
Deepali Jain, Atil Iscen, Ken Caluwaerts
From Pixels to Legs: Hierarchical Learning of Quadruped Locomotion
null
4th Conference on Robot Learning (CoRL 2020), Cambridge MA, USA
null
null
cs.RO cs.CV cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
Legged robots navigating crowded scenes and complex terrains in the real world are required to execute dynamic leg movements while processing visual input for obstacle avoidance and path planning. We show that a quadruped robot can acquire both of these skills by means of hierarchical reinforcement learning (HRL). By...
[ { "created": "Mon, 23 Nov 2020 20:55:54 GMT", "version": "v1" } ]
2020-12-01
[ [ "Jain", "Deepali", "" ], [ "Iscen", "Atil", "" ], [ "Caluwaerts", "Ken", "" ] ]
Legged robots navigating crowded scenes and complex terrains in the real world are required to execute dynamic leg movements while processing visual input for obstacle avoidance and path planning. We show that a quadruped robot can acquire both of these skills by means of hierarchical reinforcement learning (HRL). By v...
1307.0339
Cheng-Yuan Liou
Cheng-Yuan Liou, Bo-Shiang Huang, Daw-Ran Liou and Alex A. Simak
Syntactic sensitive complexity for symbol-free sequence
11 pages, 5 figures
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This work uses the L-system to construct a tree structure for the text sequence and derives its complexity. It serves as a measure of structural complexity of the text. It is applied to anomaly detection in data transmission.
[ { "created": "Mon, 1 Jul 2013 12:00:59 GMT", "version": "v1" }, { "created": "Tue, 2 Jul 2013 02:08:48 GMT", "version": "v2" } ]
2013-07-03
[ [ "Liou", "Cheng-Yuan", "" ], [ "Huang", "Bo-Shiang", "" ], [ "Liou", "Daw-Ran", "" ], [ "Simak", "Alex A.", "" ] ]
This work uses the L-system to construct a tree structure for the text sequence and derives its complexity. It serves as a measure of structural complexity of the text. It is applied to anomaly detection in data transmission.
1810.03649
Sainandan Ramakrishnan
Sainandan Ramakrishnan, Aishwarya Agrawal, Stefan Lee
Overcoming Language Priors in Visual Question Answering with Adversarial Regularization
NIPS 2018. 11 pages ( with references ), 4 figures, 2 tables
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Modern Visual Question Answering (VQA) models have been shown to rely heavily on superficial correlations between question and answer words learned during training such as overwhelmingly reporting the type of room as kitchen or the sport being played as tennis, irrespective of the image. Most alarmingly, this shortco...
[ { "created": "Mon, 8 Oct 2018 18:29:05 GMT", "version": "v1" }, { "created": "Thu, 8 Nov 2018 20:51:44 GMT", "version": "v2" } ]
2018-11-12
[ [ "Ramakrishnan", "Sainandan", "" ], [ "Agrawal", "Aishwarya", "" ], [ "Lee", "Stefan", "" ] ]
Modern Visual Question Answering (VQA) models have been shown to rely heavily on superficial correlations between question and answer words learned during training such as overwhelmingly reporting the type of room as kitchen or the sport being played as tennis, irrespective of the image. Most alarmingly, this shortcomi...
1712.08910
Simina Br\^anzei
Simina Br\^anzei and Aris Filos-Ratsikas
Walrasian Dynamics in Multi-unit Markets
null
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In a multi-unit market, a seller brings multiple units of a good and tries to sell them to a set of buyers that have monetary endowments. While a Walrasian equilibrium does not always exist in this model, natural relaxations of the concept that retain its desirable fairness properties do exist. We study the dynamic...
[ { "created": "Sun, 24 Dec 2017 12:13:24 GMT", "version": "v1" }, { "created": "Wed, 21 Feb 2018 01:02:22 GMT", "version": "v2" }, { "created": "Thu, 27 Sep 2018 16:24:04 GMT", "version": "v3" } ]
2018-09-28
[ [ "Brânzei", "Simina", "" ], [ "Filos-Ratsikas", "Aris", "" ] ]
In a multi-unit market, a seller brings multiple units of a good and tries to sell them to a set of buyers that have monetary endowments. While a Walrasian equilibrium does not always exist in this model, natural relaxations of the concept that retain its desirable fairness properties do exist. We study the dynamics of...
1703.10318
Sung-Han Lin
Sung-Han Lin, Ranjan Pal, Marco Paolieri, Leana Golubchik
SC-Share: Performance Driven Resource Sharing Markets for the Small Cloud
To be published in ICDCS 2017
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Small-scale clouds (SCs) often suffer from resource under-provisioning during peak demand, leading to inability to satisfy service level agreements (SLAs) and consequent loss of customers. One approach to address this problem is for a set of autonomous SCs to share resources among themselves in a cost-induced coopera...
[ { "created": "Thu, 30 Mar 2017 05:28:36 GMT", "version": "v1" }, { "created": "Mon, 7 Aug 2017 00:04:21 GMT", "version": "v2" } ]
2017-08-08
[ [ "Lin", "Sung-Han", "" ], [ "Pal", "Ranjan", "" ], [ "Paolieri", "Marco", "" ], [ "Golubchik", "Leana", "" ] ]
Small-scale clouds (SCs) often suffer from resource under-provisioning during peak demand, leading to inability to satisfy service level agreements (SLAs) and consequent loss of customers. One approach to address this problem is for a set of autonomous SCs to share resources among themselves in a cost-induced cooperati...
2303.13137
Liping Yi
Liping Yi, Gang Wang, Xiaoguang Liu, Zhuan Shi, Han Yu
FedGH: Heterogeneous Federated Learning with Generalized Global Header
11 pages, 5 figures,accepted by Proceedings of the 31st ACM International Conference on Multimedia (MM 2023)
null
null
null
cs.LG cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Federated learning (FL) is an emerging machine learning paradigm that allows multiple parties to train a shared model collaboratively in a privacy-preserving manner. Existing horizontal FL methods generally assume that the FL server and clients hold the same model structure. However, due to system heterogeneity and t...
[ { "created": "Thu, 23 Mar 2023 09:38:52 GMT", "version": "v1" }, { "created": "Tue, 1 Aug 2023 16:30:48 GMT", "version": "v2" } ]
2023-08-02
[ [ "Yi", "Liping", "" ], [ "Wang", "Gang", "" ], [ "Liu", "Xiaoguang", "" ], [ "Shi", "Zhuan", "" ], [ "Yu", "Han", "" ] ]
Federated learning (FL) is an emerging machine learning paradigm that allows multiple parties to train a shared model collaboratively in a privacy-preserving manner. Existing horizontal FL methods generally assume that the FL server and clients hold the same model structure. However, due to system heterogeneity and the...
2211.08681
Atsuro Okazawa
Atsuro Okazawa
Interclass Prototype Relation for Few-Shot Segmentation
Accepted to ECCV2022
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Traditional semantic segmentation requires a large labeled image dataset and can only be predicted within predefined classes. To solve this problem, few-shot segmentation, which requires only a handful of annotations for the new target class, is important. However, with few-shot segmentation, the target class data di...
[ { "created": "Wed, 16 Nov 2022 05:27:52 GMT", "version": "v1" } ]
2022-11-17
[ [ "Okazawa", "Atsuro", "" ] ]
Traditional semantic segmentation requires a large labeled image dataset and can only be predicted within predefined classes. To solve this problem, few-shot segmentation, which requires only a handful of annotations for the new target class, is important. However, with few-shot segmentation, the target class data dist...
2407.05210
Rendani Mbuvha
Rendani Mbuvha, Yassine Yaakoubi, John Bagiliko, Santiago Hincapie Potes, Amal Nammouchi, Sabrina Amrouche
Leveraging AI for Climate Resilience in Africa: Challenges, Opportunities, and the Need for Collaboration
null
null
null
null
cs.CY cs.AI stat.AP
http://creativecommons.org/licenses/by/4.0/
As climate change issues become more pressing, their impact in Africa calls for urgent, innovative solutions tailored to the continent's unique challenges. While Artificial Intelligence (AI) emerges as a critical and valuable tool for climate change adaptation and mitigation, its effectiveness and potential are conti...
[ { "created": "Wed, 24 Apr 2024 14:05:22 GMT", "version": "v1" } ]
2024-07-09
[ [ "Mbuvha", "Rendani", "" ], [ "Yaakoubi", "Yassine", "" ], [ "Bagiliko", "John", "" ], [ "Potes", "Santiago Hincapie", "" ], [ "Nammouchi", "Amal", "" ], [ "Amrouche", "Sabrina", "" ] ]
As climate change issues become more pressing, their impact in Africa calls for urgent, innovative solutions tailored to the continent's unique challenges. While Artificial Intelligence (AI) emerges as a critical and valuable tool for climate change adaptation and mitigation, its effectiveness and potential are conting...
2406.01609
Akshat Mohan Dasula Mr
Akshat Mohan Dasula, Hrushitha Tigulla, Preethika Bhukya
Judgement Citation Retrieval using Contextual Similarity
14 pages, 16 images
null
null
null
cs.IR cs.CL cs.LG
http://creativecommons.org/licenses/by/4.0/
Traditionally in the domain of legal research, the retrieval of pertinent citations from intricate case descriptions has demanded manual effort and keyword-based search applications that mandate expertise in understanding legal jargon. Legal case descriptions hold pivotal information for legal professionals and resea...
[ { "created": "Tue, 28 May 2024 04:22:28 GMT", "version": "v1" }, { "created": "Thu, 15 Aug 2024 06:11:27 GMT", "version": "v2" } ]
2024-08-16
[ [ "Dasula", "Akshat Mohan", "" ], [ "Tigulla", "Hrushitha", "" ], [ "Bhukya", "Preethika", "" ] ]
Traditionally in the domain of legal research, the retrieval of pertinent citations from intricate case descriptions has demanded manual effort and keyword-based search applications that mandate expertise in understanding legal jargon. Legal case descriptions hold pivotal information for legal professionals and researc...
1908.08216
Sanath Narayan
Sanath Narayan, Hisham Cholakkal, Fahad Shahbaz Khan, Ling Shao
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization
To appear in ICCV 2019
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Temporal action localization is a challenging computer vision problem with numerous real-world applications. Most existing methods require laborious frame-level supervision to train action localization models. In this work, we propose a framework, called 3C-Net, which only requires video-level supervision (weak super...
[ { "created": "Thu, 22 Aug 2019 06:20:38 GMT", "version": "v1" }, { "created": "Mon, 18 Nov 2019 12:28:41 GMT", "version": "v2" } ]
2019-11-19
[ [ "Narayan", "Sanath", "" ], [ "Cholakkal", "Hisham", "" ], [ "Khan", "Fahad Shahbaz", "" ], [ "Shao", "Ling", "" ] ]
Temporal action localization is a challenging computer vision problem with numerous real-world applications. Most existing methods require laborious frame-level supervision to train action localization models. In this work, we propose a framework, called 3C-Net, which only requires video-level supervision (weak supervi...
2309.04381
Fredrik Hellstr\"om
Fredrik Hellstr\"om, Giuseppe Durisi, Benjamin Guedj, Maxim Raginsky
Generalization Bounds: Perspectives from Information Theory and PAC-Bayes
228 pages
null
null
null
cs.LG cs.AI cs.IT math.IT math.ST stat.ML stat.TH
http://creativecommons.org/licenses/by-nc-sa/4.0/
A fundamental question in theoretical machine learning is generalization. Over the past decades, the PAC-Bayesian approach has been established as a flexible framework to address the generalization capabilities of machine learning algorithms, and design new ones. Recently, it has garnered increased interest due to it...
[ { "created": "Fri, 8 Sep 2023 15:23:40 GMT", "version": "v1" }, { "created": "Wed, 27 Mar 2024 17:07:47 GMT", "version": "v2" } ]
2024-03-28
[ [ "Hellström", "Fredrik", "" ], [ "Durisi", "Giuseppe", "" ], [ "Guedj", "Benjamin", "" ], [ "Raginsky", "Maxim", "" ] ]
A fundamental question in theoretical machine learning is generalization. Over the past decades, the PAC-Bayesian approach has been established as a flexible framework to address the generalization capabilities of machine learning algorithms, and design new ones. Recently, it has garnered increased interest due to its ...
1504.03385
Chen-Yu Lee
Chen-Yu Lee, Deng-Jyi Chen
A Content Creation and Protection Scheme for Medical Images
15 pages, submitted
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Medical images contain metadata information on where, when, and how an image was acquired, and the majority of this information is stored as pixel data. Image feature descriptions are often captured only as free text stored in the image file or in the hospital information system. Correlations between the free text an...
[ { "created": "Mon, 13 Apr 2015 22:43:45 GMT", "version": "v1" } ]
2015-04-15
[ [ "Lee", "Chen-Yu", "" ], [ "Chen", "Deng-Jyi", "" ] ]
Medical images contain metadata information on where, when, and how an image was acquired, and the majority of this information is stored as pixel data. Image feature descriptions are often captured only as free text stored in the image file or in the hospital information system. Correlations between the free text and ...
2405.19209
Ziyang Wang
Ziyang Wang, Shoubin Yu, Elias Stengel-Eskin, Jaehong Yoon, Feng Cheng, Gedas Bertasius, Mohit Bansal
VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos
20 pages, first three authors contributed equally; Project page: https://videotree2024.github.io/
null
null
null
cs.CV cs.AI cs.CL
http://creativecommons.org/licenses/by/4.0/
Video-language understanding tasks have focused on short video clips, often struggling with long-form video understanding tasks. Recently, many long video-language understanding approaches have leveraged the reasoning capabilities of Large Language Models (LLMs) to perform long video QA, transforming videos into dens...
[ { "created": "Wed, 29 May 2024 15:49:09 GMT", "version": "v1" } ]
2024-05-30
[ [ "Wang", "Ziyang", "" ], [ "Yu", "Shoubin", "" ], [ "Stengel-Eskin", "Elias", "" ], [ "Yoon", "Jaehong", "" ], [ "Cheng", "Feng", "" ], [ "Bertasius", "Gedas", "" ], [ "Bansal", "Mohit", "" ] ]
Video-language understanding tasks have focused on short video clips, often struggling with long-form video understanding tasks. Recently, many long video-language understanding approaches have leveraged the reasoning capabilities of Large Language Models (LLMs) to perform long video QA, transforming videos into densel...
1503.04918
EPTCS
Marcin Benke, Viviana Bono, Aleksy Schubert
Lucretia - intersection type polymorphism for scripting languages
In Proceedings ITRS 2014, arXiv:1503.04377
EPTCS 177, 2015, pp. 65-78
10.4204/EPTCS.177.6
null
cs.LO cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Scripting code may present maintenance problems in the long run. There is, then, the call for methodologies that make it possible to control the properties of programs written in dynamic languages in an automatic fashion. We introduce Lucretia, a core language with an introspection primitive. Lucretia is equipped wit...
[ { "created": "Tue, 17 Mar 2015 04:03:54 GMT", "version": "v1" } ]
2015-03-18
[ [ "Benke", "Marcin", "" ], [ "Bono", "Viviana", "" ], [ "Schubert", "Aleksy", "" ] ]
Scripting code may present maintenance problems in the long run. There is, then, the call for methodologies that make it possible to control the properties of programs written in dynamic languages in an automatic fashion. We introduce Lucretia, a core language with an introspection primitive. Lucretia is equipped with ...
1911.12327
Charalambos Poullis
Yashas Joshi, Charalambos Poullis
Inattentional Blindness for Redirected Walking Using Dynamic Foveated Rendering
null
null
null
null
cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Redirected walking is a Virtual Reality(VR) locomotion technique which enables users to navigate virtual environments (VEs) that are spatially larger than the available physical tracked space. In this work we present a novel technique for redirected walking in VR based on the psychological phenomenon of inattentional...
[ { "created": "Wed, 27 Nov 2019 18:08:21 GMT", "version": "v1" } ]
2019-11-28
[ [ "Joshi", "Yashas", "" ], [ "Poullis", "Charalambos", "" ] ]
Redirected walking is a Virtual Reality(VR) locomotion technique which enables users to navigate virtual environments (VEs) that are spatially larger than the available physical tracked space. In this work we present a novel technique for redirected walking in VR based on the psychological phenomenon of inattentional b...
2407.14086
Yunfei Zhang
Yunfei Zhang, Chao Liang, Jin Gao, Zhipeng Zhang, Weiming Hu, Stephen Maybank, Xue Zhou, Liang Li
Temporal Correlation Meets Embedding: Towards a 2nd Generation of JDE-based Real-Time Multi-Object Tracking
A submission to IJCV
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Joint Detection and Embedding (JDE) trackers have demonstrated excellent performance in Multi-Object Tracking (MOT) tasks by incorporating the extraction of appearance features as auxiliary tasks through embedding Re-Identification task (ReID) into the detector, achieving a balance between inference speed and trackin...
[ { "created": "Fri, 19 Jul 2024 07:48:45 GMT", "version": "v1" }, { "created": "Tue, 6 Aug 2024 09:56:36 GMT", "version": "v2" } ]
2024-08-07
[ [ "Zhang", "Yunfei", "" ], [ "Liang", "Chao", "" ], [ "Gao", "Jin", "" ], [ "Zhang", "Zhipeng", "" ], [ "Hu", "Weiming", "" ], [ "Maybank", "Stephen", "" ], [ "Zhou", "Xue", "" ], [ "Li", "Liang",...
Joint Detection and Embedding (JDE) trackers have demonstrated excellent performance in Multi-Object Tracking (MOT) tasks by incorporating the extraction of appearance features as auxiliary tasks through embedding Re-Identification task (ReID) into the detector, achieving a balance between inference speed and tracking ...
1803.05747
Hongfei Fan
Hongfei Fan, Lin Ding, Xiaodong Xie, Huizhu Jia, Wen Gao
Joint Rate Allocation with Both Look-ahead And Feedback Model For High Efficiency Video Coding
null
null
null
null
cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The objective of joint rate allocation among multiple coded video streams is to share the bandwidth to meet the demands of minimum average distortion (minAVE) or minimum distortion variance (minVAR). In previous works on minVAR problems, bits are directly assigned in proportion to their complexity measures and we cal...
[ { "created": "Thu, 15 Mar 2018 13:50:04 GMT", "version": "v1" } ]
2018-03-16
[ [ "Fan", "Hongfei", "" ], [ "Ding", "Lin", "" ], [ "Xie", "Xiaodong", "" ], [ "Jia", "Huizhu", "" ], [ "Gao", "Wen", "" ] ]
The objective of joint rate allocation among multiple coded video streams is to share the bandwidth to meet the demands of minimum average distortion (minAVE) or minimum distortion variance (minVAR). In previous works on minVAR problems, bits are directly assigned in proportion to their complexity measures and we call ...
1908.10717
Tao Zhuo
Tao Zhuo, Zhiyong Cheng, Mohan Kankanhalli
Fast Video Object Segmentation via Mask Transfer Network
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Accuracy and processing speed are two important factors that affect the use of video object segmentation (VOS) in real applications. With the advanced techniques of deep neural networks, the accuracy has been significantly improved, however, the speed is still far below the real-time needs because of the complicated ...
[ { "created": "Wed, 28 Aug 2019 13:31:34 GMT", "version": "v1" } ]
2019-08-29
[ [ "Zhuo", "Tao", "" ], [ "Cheng", "Zhiyong", "" ], [ "Kankanhalli", "Mohan", "" ] ]
Accuracy and processing speed are two important factors that affect the use of video object segmentation (VOS) in real applications. With the advanced techniques of deep neural networks, the accuracy has been significantly improved, however, the speed is still far below the real-time needs because of the complicated ne...
2208.10833
Hongcheng Guo
Hongcheng Guo, Yuhui Guo, Renjie Chen, Jian Yang, Jiaheng Liu, Zhoujun Li, Tieqiao Zheng, Weichao Hou, Liangfan Zheng, Bo Zhang
LogLG: Weakly Supervised Log Anomaly Detection via Log-Event Graph Construction
12 pages
null
null
null
cs.SE cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Fully supervised log anomaly detection methods suffer the heavy burden of annotating massive unlabeled log data. Recently, many semi-supervised methods have been proposed to reduce annotation costs with the help of parsed templates. However, these methods consider each keyword independently, which disregards the corr...
[ { "created": "Tue, 23 Aug 2022 09:32:19 GMT", "version": "v1" }, { "created": "Thu, 25 Aug 2022 06:42:18 GMT", "version": "v2" }, { "created": "Tue, 6 Sep 2022 02:36:58 GMT", "version": "v3" }, { "created": "Thu, 2 Feb 2023 09:17:52 GMT", "version": "v4" }, { "cre...
2023-04-12
[ [ "Guo", "Hongcheng", "" ], [ "Guo", "Yuhui", "" ], [ "Chen", "Renjie", "" ], [ "Yang", "Jian", "" ], [ "Liu", "Jiaheng", "" ], [ "Li", "Zhoujun", "" ], [ "Zheng", "Tieqiao", "" ], [ "Hou", "Weich...
Fully supervised log anomaly detection methods suffer the heavy burden of annotating massive unlabeled log data. Recently, many semi-supervised methods have been proposed to reduce annotation costs with the help of parsed templates. However, these methods consider each keyword independently, which disregards the correl...
2204.03082
Zudi Lin
Leander Lauenburg, Zudi Lin, Ruihan Zhang, M\'arcia dos Santos, Siyu Huang, Ignacio Arganda-Carreras, Edward S. Boyden, Hanspeter Pfister, Donglai Wei
Instance Segmentation of Unlabeled Modalities via Cyclic Segmentation GAN
13 pages with appendix
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Instance segmentation for unlabeled imaging modalities is a challenging but essential task as collecting expert annotation can be expensive and time-consuming. Existing works segment a new modality by either deploying a pre-trained model optimized on diverse training data or conducting domain translation and image se...
[ { "created": "Wed, 6 Apr 2022 20:46:39 GMT", "version": "v1" } ]
2022-04-08
[ [ "Lauenburg", "Leander", "" ], [ "Lin", "Zudi", "" ], [ "Zhang", "Ruihan", "" ], [ "Santos", "Márcia dos", "" ], [ "Huang", "Siyu", "" ], [ "Arganda-Carreras", "Ignacio", "" ], [ "Boyden", "Edward S.", "" ...
Instance segmentation for unlabeled imaging modalities is a challenging but essential task as collecting expert annotation can be expensive and time-consuming. Existing works segment a new modality by either deploying a pre-trained model optimized on diverse training data or conducting domain translation and image segm...
2308.15726
Fei Yu
Nan Che and Chenrui Liu and Fei Yu
AGS: An Dataset and Taxonomy for Domestic Scene Sound Event Recognition
null
null
null
null
cs.SD cs.AI eess.AS
http://creativecommons.org/licenses/by/4.0/
Environmental sound scene and sound event recognition is important for the recognition of suspicious events in indoor and outdoor environments (such as nurseries, smart homes, nursing homes, etc.) and is a fundamental task involved in many audio surveillance applications. In particular, there is no public common data...
[ { "created": "Wed, 30 Aug 2023 03:03:47 GMT", "version": "v1" } ]
2023-08-31
[ [ "Che", "Nan", "" ], [ "Liu", "Chenrui", "" ], [ "Yu", "Fei", "" ] ]
Environmental sound scene and sound event recognition is important for the recognition of suspicious events in indoor and outdoor environments (such as nurseries, smart homes, nursing homes, etc.) and is a fundamental task involved in many audio surveillance applications. In particular, there is no public common data s...
2405.05386
Andreas Madsen
Andreas Madsen, Himabindu Lakkaraju, Siva Reddy, Sarath Chandar
Interpretability Needs a New Paradigm
null
null
null
null
cs.LG cs.CL cs.CV stat.ML
http://creativecommons.org/licenses/by-sa/4.0/
Interpretability is the study of explaining models in understandable terms to humans. At present, interpretability is divided into two paradigms: the intrinsic paradigm, which believes that only models designed to be explained can be explained, and the post-hoc paradigm, which believes that black-box models can be ex...
[ { "created": "Wed, 8 May 2024 19:31:06 GMT", "version": "v1" } ]
2024-05-10
[ [ "Madsen", "Andreas", "" ], [ "Lakkaraju", "Himabindu", "" ], [ "Reddy", "Siva", "" ], [ "Chandar", "Sarath", "" ] ]
Interpretability is the study of explaining models in understandable terms to humans. At present, interpretability is divided into two paradigms: the intrinsic paradigm, which believes that only models designed to be explained can be explained, and the post-hoc paradigm, which believes that black-box models can be expl...
2312.04362
Hamed Hematian Hemati
Hamed Hematian Hemati, Atousa Toghyani, Atena Souri, Sayed Hesam Alavian, Hossein Sameti, Hamid Beigy
PCoQA: Persian Conversational Question Answering Dataset
null
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
Humans seek information regarding a specific topic through performing a conversation containing a series of questions and answers. In the pursuit of conversational question answering research, we introduce the PCoQA, the first \textbf{P}ersian \textbf{Co}nversational \textbf{Q}uestion \textbf{A}nswering dataset, a re...
[ { "created": "Thu, 7 Dec 2023 15:29:34 GMT", "version": "v1" } ]
2023-12-08
[ [ "Hemati", "Hamed Hematian", "" ], [ "Toghyani", "Atousa", "" ], [ "Souri", "Atena", "" ], [ "Alavian", "Sayed Hesam", "" ], [ "Sameti", "Hossein", "" ], [ "Beigy", "Hamid", "" ] ]
Humans seek information regarding a specific topic through performing a conversation containing a series of questions and answers. In the pursuit of conversational question answering research, we introduce the PCoQA, the first \textbf{P}ersian \textbf{Co}nversational \textbf{Q}uestion \textbf{A}nswering dataset, a reso...
1807.01544
Shangbang Long
Shangbang Long, Jiaqiang Ruan, Wenjie Zhang, Xin He, Wenhao Wu, Cong Yao
TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes
17 pages, accepted to ECCV2018
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Driven by deep neural networks and large scale datasets, scene text detection methods have progressed substantially over the past years, continuously refreshing the performance records on various standard benchmarks. However, limited by the representations (axis-aligned rectangles, rotated rectangles or quadrangles) ...
[ { "created": "Wed, 4 Jul 2018 12:37:07 GMT", "version": "v1" }, { "created": "Tue, 18 Aug 2020 00:54:35 GMT", "version": "v2" } ]
2020-08-19
[ [ "Long", "Shangbang", "" ], [ "Ruan", "Jiaqiang", "" ], [ "Zhang", "Wenjie", "" ], [ "He", "Xin", "" ], [ "Wu", "Wenhao", "" ], [ "Yao", "Cong", "" ] ]
Driven by deep neural networks and large scale datasets, scene text detection methods have progressed substantially over the past years, continuously refreshing the performance records on various standard benchmarks. However, limited by the representations (axis-aligned rectangles, rotated rectangles or quadrangles) ad...
cs/0512105
Valmir Barbosa
Alexandre O. Stauffer, Valmir C. Barbosa
A study of the edge-switching Markov-chain method for the generation of random graphs
Minor typos corrected
null
null
null
cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the problem of generating connected random graphs with no self-loops or multiple edges and that, in addition, have a given degree sequence. The generation method we focus on is the edge-switching Markov-chain method, whose functioning depends on a parameter w related to the method's core operation of an edge...
[ { "created": "Thu, 29 Dec 2005 18:37:01 GMT", "version": "v1" }, { "created": "Thu, 30 Jun 2011 18:52:12 GMT", "version": "v2" } ]
2011-07-01
[ [ "Stauffer", "Alexandre O.", "" ], [ "Barbosa", "Valmir C.", "" ] ]
We study the problem of generating connected random graphs with no self-loops or multiple edges and that, in addition, have a given degree sequence. The generation method we focus on is the edge-switching Markov-chain method, whose functioning depends on a parameter w related to the method's core operation of an edge s...
2207.05643
Koorosh Aslansefat
Koorosh Aslansefat, Panagiota Nikolaou, Martin Walker, Mohammed Naveed Akram, Ioannis Sorokos, Jan Reich, Panayiotis Kolios, Maria K. Michael, Theocharis Theocharides, Georgios Ellinas, Daniel Schneider, Yiannis Papadopoulos
SafeDrones: Real-Time Reliability Evaluation of UAVs using Executable Digital Dependable Identities
null
null
null
null
cs.RO cs.SY eess.SY
http://creativecommons.org/licenses/by-nc-sa/4.0/
The use of Unmanned Arial Vehicles (UAVs) offers many advantages across a variety of applications. However, safety assurance is a key barrier to widespread usage, especially given the unpredictable operational and environmental factors experienced by UAVs, which are hard to capture solely at design-time. This paper p...
[ { "created": "Tue, 12 Jul 2022 16:19:03 GMT", "version": "v1" } ]
2022-07-13
[ [ "Aslansefat", "Koorosh", "" ], [ "Nikolaou", "Panagiota", "" ], [ "Walker", "Martin", "" ], [ "Akram", "Mohammed Naveed", "" ], [ "Sorokos", "Ioannis", "" ], [ "Reich", "Jan", "" ], [ "Kolios", "Panayiotis", ...
The use of Unmanned Arial Vehicles (UAVs) offers many advantages across a variety of applications. However, safety assurance is a key barrier to widespread usage, especially given the unpredictable operational and environmental factors experienced by UAVs, which are hard to capture solely at design-time. This paper pro...
2008.00962
Lucas Tabelini Torres
Lucas Tabelini, Rodrigo Berriel, Thiago M. Paix\~ao, Alberto F. De Souza, Claudine Badue, Nicu Sebe and Thiago Oliveira-Santos
Deep Traffic Sign Detection and Recognition Without Target Domain Real Images
arXiv admin note: text overlap with arXiv:1907.09679
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep learning has been successfully applied to several problems related to autonomous driving, often relying on large databases of real target-domain images for proper training. The acquisition of such real-world data is not always possible in the self-driving context, and sometimes their annotation is not feasible. ...
[ { "created": "Thu, 30 Jul 2020 21:06:47 GMT", "version": "v1" } ]
2020-08-04
[ [ "Tabelini", "Lucas", "" ], [ "Berriel", "Rodrigo", "" ], [ "Paixão", "Thiago M.", "" ], [ "De Souza", "Alberto F.", "" ], [ "Badue", "Claudine", "" ], [ "Sebe", "Nicu", "" ], [ "Oliveira-Santos", "Thiago", ...
Deep learning has been successfully applied to several problems related to autonomous driving, often relying on large databases of real target-domain images for proper training. The acquisition of such real-world data is not always possible in the self-driving context, and sometimes their annotation is not feasible. Mo...
2004.08145
Zhiwei Gao
Zhiwei Gao, Shuntaro Yada, Shoko Wakamiya and Eiji Aramaki
NAIST COVID: Multilingual COVID-19 Twitter and Weibo Dataset
null
null
null
null
cs.SI cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Since the outbreak of coronavirus disease 2019 (COVID-19) in the late 2019, it has affected over 200 countries and billions of people worldwide. This has affected the social life of people owing to enforcements, such as "social distancing" and "stay at home." This has resulted in an increasing interaction through soc...
[ { "created": "Fri, 17 Apr 2020 09:48:14 GMT", "version": "v1" } ]
2020-04-20
[ [ "Gao", "Zhiwei", "" ], [ "Yada", "Shuntaro", "" ], [ "Wakamiya", "Shoko", "" ], [ "Aramaki", "Eiji", "" ] ]
Since the outbreak of coronavirus disease 2019 (COVID-19) in the late 2019, it has affected over 200 countries and billions of people worldwide. This has affected the social life of people owing to enforcements, such as "social distancing" and "stay at home." This has resulted in an increasing interaction through socia...
2408.04870
Mulong Luo
Ayush RoyChowdhury, Mulong Luo, Prateek Sahu, Sarbartha Banerjee, Mohit Tiwari
ConfusedPilot: Confused Deputy Risks in RAG-based LLMs
null
null
null
null
cs.CR cs.AI
http://creativecommons.org/licenses/by/4.0/
Retrieval augmented generation (RAG) is a process where a large language model (LLM) retrieves useful information from a database and then generates the responses. It is becoming popular in enterprise settings for daily business operations. For example, Copilot for Microsoft 365 has accumulated millions of businesses...
[ { "created": "Fri, 9 Aug 2024 05:20:05 GMT", "version": "v1" }, { "created": "Tue, 13 Aug 2024 22:51:30 GMT", "version": "v2" }, { "created": "Thu, 15 Aug 2024 05:24:19 GMT", "version": "v3" } ]
2024-08-16
[ [ "RoyChowdhury", "Ayush", "" ], [ "Luo", "Mulong", "" ], [ "Sahu", "Prateek", "" ], [ "Banerjee", "Sarbartha", "" ], [ "Tiwari", "Mohit", "" ] ]
Retrieval augmented generation (RAG) is a process where a large language model (LLM) retrieves useful information from a database and then generates the responses. It is becoming popular in enterprise settings for daily business operations. For example, Copilot for Microsoft 365 has accumulated millions of businesses. ...
2109.10431
Hao Wang
Haewon Jeong, Hao Wang, Flavio P. Calmon
Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values
null
null
null
null
cs.LG cs.CY cs.IT math.IT stat.ML
http://creativecommons.org/licenses/by/4.0/
We investigate the fairness concerns of training a machine learning model using data with missing values. Even though there are a number of fairness intervention methods in the literature, most of them require a complete training set as input. In practice, data can have missing values, and data missing patterns can d...
[ { "created": "Tue, 21 Sep 2021 20:46:22 GMT", "version": "v1" }, { "created": "Thu, 14 Apr 2022 02:13:34 GMT", "version": "v2" } ]
2022-04-15
[ [ "Jeong", "Haewon", "" ], [ "Wang", "Hao", "" ], [ "Calmon", "Flavio P.", "" ] ]
We investigate the fairness concerns of training a machine learning model using data with missing values. Even though there are a number of fairness intervention methods in the literature, most of them require a complete training set as input. In practice, data can have missing values, and data missing patterns can dep...
2312.02963
Zhangyang Xiong
Zhangyang Xiong, Chenghong Li, Kenkun Liu, Hongjie Liao, Jianqiao Hu, Junyi Zhu, Shuliang Ning, Lingteng Qiu, Chongjie Wang, Shijie Wang, Shuguang Cui and Xiaoguang Han
MVHumanNet: A Large-scale Dataset of Multi-view Daily Dressing Human Captures
Project page: https://x-zhangyang.github.io/MVHumanNet/
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this era, the success of large language models and text-to-image models can be attributed to the driving force of large-scale datasets. However, in the realm of 3D vision, while remarkable progress has been made with models trained on large-scale synthetic and real-captured object data like Objaverse and MVImgNet,...
[ { "created": "Tue, 5 Dec 2023 18:50:12 GMT", "version": "v1" } ]
2023-12-06
[ [ "Xiong", "Zhangyang", "" ], [ "Li", "Chenghong", "" ], [ "Liu", "Kenkun", "" ], [ "Liao", "Hongjie", "" ], [ "Hu", "Jianqiao", "" ], [ "Zhu", "Junyi", "" ], [ "Ning", "Shuliang", "" ], [ "Qiu", ...
In this era, the success of large language models and text-to-image models can be attributed to the driving force of large-scale datasets. However, in the realm of 3D vision, while remarkable progress has been made with models trained on large-scale synthetic and real-captured object data like Objaverse and MVImgNet, a...
2212.07612
Kai Huang
Kai Huang, Haibo Hu, Qingqing Ye, Kai Tian, Bolong Zheng, Xiaofang Zhou
TED: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database
This paper is accepted by SIGMOD 2023
null
null
null
cs.DB
http://creativecommons.org/licenses/by/4.0/
With an exponentially growing number of graphs from disparate repositories, there is a strong need to analyze a graph database containing an extensive collection of small- or medium-sized data graphs (e.g., chemical compounds). Although subgraph enumeration and subgraph mining have been proposed to bring insights int...
[ { "created": "Thu, 15 Dec 2022 04:27:29 GMT", "version": "v1" } ]
2022-12-16
[ [ "Huang", "Kai", "" ], [ "Hu", "Haibo", "" ], [ "Ye", "Qingqing", "" ], [ "Tian", "Kai", "" ], [ "Zheng", "Bolong", "" ], [ "Zhou", "Xiaofang", "" ] ]
With an exponentially growing number of graphs from disparate repositories, there is a strong need to analyze a graph database containing an extensive collection of small- or medium-sized data graphs (e.g., chemical compounds). Although subgraph enumeration and subgraph mining have been proposed to bring insights into ...
1511.00148
Indre Zliobaite
Indre Zliobaite
A survey on measuring indirect discrimination in machine learning
null
null
null
null
cs.CY stat.AP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Nowadays, many decisions are made using predictive models built on historical data.Predictive models may systematically discriminate groups of people even if the computing process is fair and well-intentioned. Discrimination-aware data mining studies how to make predictive models free from discrimination, when histor...
[ { "created": "Sat, 31 Oct 2015 16:04:12 GMT", "version": "v1" } ]
2015-11-23
[ [ "Zliobaite", "Indre", "" ] ]
Nowadays, many decisions are made using predictive models built on historical data.Predictive models may systematically discriminate groups of people even if the computing process is fair and well-intentioned. Discrimination-aware data mining studies how to make predictive models free from discrimination, when historic...
2307.06983
Hu Wei
Wei Hu, Xuhong Wang, Ding Wang, Shengyue Yao, Zuqiu Mao, Li Li, Fei-Yue Wang, Yilun Lin
IR Design for Application-Specific Natural Language: A Case Study on Traffic Data
null
null
null
null
cs.SE cs.AI cs.PL
http://creativecommons.org/licenses/by/4.0/
In the realm of software applications in the transportation industry, Domain-Specific Languages (DSLs) have enjoyed widespread adoption due to their ease of use and various other benefits. With the ceaseless progress in computer performance and the rapid development of large-scale models, the possibility of programmi...
[ { "created": "Thu, 13 Jul 2023 15:52:05 GMT", "version": "v1" } ]
2023-07-17
[ [ "Hu", "Wei", "" ], [ "Wang", "Xuhong", "" ], [ "Wang", "Ding", "" ], [ "Yao", "Shengyue", "" ], [ "Mao", "Zuqiu", "" ], [ "Li", "Li", "" ], [ "Wang", "Fei-Yue", "" ], [ "Lin", "Yilun", "" ...
In the realm of software applications in the transportation industry, Domain-Specific Languages (DSLs) have enjoyed widespread adoption due to their ease of use and various other benefits. With the ceaseless progress in computer performance and the rapid development of large-scale models, the possibility of programming...
2210.10765
Fahim Tajwar
Annie Xie, Fahim Tajwar, Archit Sharma, Chelsea Finn
When to Ask for Help: Proactive Interventions in Autonomous Reinforcement Learning
36th Conference on Neural Information Processing Systems (NeurIPS 2022)
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A long-term goal of reinforcement learning is to design agents that can autonomously interact and learn in the world. A critical challenge to such autonomy is the presence of irreversible states which require external assistance to recover from, such as when a robot arm has pushed an object off of a table. While stan...
[ { "created": "Wed, 19 Oct 2022 17:57:24 GMT", "version": "v1" } ]
2022-10-20
[ [ "Xie", "Annie", "" ], [ "Tajwar", "Fahim", "" ], [ "Sharma", "Archit", "" ], [ "Finn", "Chelsea", "" ] ]
A long-term goal of reinforcement learning is to design agents that can autonomously interact and learn in the world. A critical challenge to such autonomy is the presence of irreversible states which require external assistance to recover from, such as when a robot arm has pushed an object off of a table. While standa...
2002.04114
Guan-An Wang
Guan-An Wang, Tianzhu Zhang. Yang Yang, Jian Cheng, Jianlong Chang, Xu Liang, Zengguang Hou
Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-Identification
accepted by AAAI'20
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
RGB-Infrared (IR) person re-identification is very challenging due to the large cross-modality variations between RGB and IR images. The key solution is to learn aligned features to the bridge RGB and IR modalities. However, due to the lack of correspondence labels between every pair of RGB and IR images, most method...
[ { "created": "Mon, 10 Feb 2020 22:15:19 GMT", "version": "v1" }, { "created": "Tue, 18 Feb 2020 00:03:01 GMT", "version": "v2" } ]
2020-02-19
[ [ "Wang", "Guan-An", "" ], [ "Yang", "Tianzhu Zhang. Yang", "" ], [ "Cheng", "Jian", "" ], [ "Chang", "Jianlong", "" ], [ "Liang", "Xu", "" ], [ "Hou", "Zengguang", "" ] ]
RGB-Infrared (IR) person re-identification is very challenging due to the large cross-modality variations between RGB and IR images. The key solution is to learn aligned features to the bridge RGB and IR modalities. However, due to the lack of correspondence labels between every pair of RGB and IR images, most methods ...
2110.12884
Boris van Breugel
Boris van Breugel, Trent Kyono, Jeroen Berrevoets, Mihaela van der Schaar
DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks
null
null
null
null
cs.LG stat.ML
http://creativecommons.org/licenses/by/4.0/
Machine learning models have been criticized for reflecting unfair biases in the training data. Instead of solving for this by introducing fair learning algorithms directly, we focus on generating fair synthetic data, such that any downstream learner is fair. Generating fair synthetic data from unfair data - while re...
[ { "created": "Mon, 25 Oct 2021 12:39:56 GMT", "version": "v1" }, { "created": "Thu, 4 Nov 2021 21:25:22 GMT", "version": "v2" } ]
2021-11-08
[ [ "van Breugel", "Boris", "" ], [ "Kyono", "Trent", "" ], [ "Berrevoets", "Jeroen", "" ], [ "van der Schaar", "Mihaela", "" ] ]
Machine learning models have been criticized for reflecting unfair biases in the training data. Instead of solving for this by introducing fair learning algorithms directly, we focus on generating fair synthetic data, such that any downstream learner is fair. Generating fair synthetic data from unfair data - while rema...
1603.01472
Yinan Wang
Yinan Wang, Hakan Johansson, Hui Xu, and Jietao Diao
Minimax Design and Order Estimation of FIR Filters for Extending the Bandwidth of ADCs
4 pages, 3 figures, IEEE Int. Symp. Circuits Syst. (to appear), Montreal, Canada, 2016
null
10.1109/ISCAS.2016.7539015
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The bandwidth of the sampling systems, especially for time-interleaved analog-to-digital converters, needs to be extended along with the rapid increase of the sampling rate. A digitally assisted technique becomes a feasible approach to extend the analog bandwidth, as it is impractical to implement the extension in an...
[ { "created": "Fri, 4 Mar 2016 14:16:33 GMT", "version": "v1" } ]
2016-11-18
[ [ "Wang", "Yinan", "" ], [ "Johansson", "Hakan", "" ], [ "Xu", "Hui", "" ], [ "Diao", "Jietao", "" ] ]
The bandwidth of the sampling systems, especially for time-interleaved analog-to-digital converters, needs to be extended along with the rapid increase of the sampling rate. A digitally assisted technique becomes a feasible approach to extend the analog bandwidth, as it is impractical to implement the extension in anal...
2206.11668
H\'ector Cadavid
H\'ector Cadavid, Vasilios Andrikopoulos, Paris Avgeriou
Documentation-as-code for Interface Control Document Management in Systems of Systems: a Technical Action Research Study
Preprint of the paper accepted in the 16th European Conference on Software Architecture (ECSA)
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The architecting of Systems of Systems (SoS), that is, of systems that emerge from the cooperation of multiple independent constituent systems, is a topic of increasing interest in both industry and academia. However, recent empirical studies revealed what seems to be an overlooked aspect of the architecting of SoS t...
[ { "created": "Thu, 23 Jun 2022 12:47:47 GMT", "version": "v1" } ]
2022-06-24
[ [ "Cadavid", "Héctor", "" ], [ "Andrikopoulos", "Vasilios", "" ], [ "Avgeriou", "Paris", "" ] ]
The architecting of Systems of Systems (SoS), that is, of systems that emerge from the cooperation of multiple independent constituent systems, is a topic of increasing interest in both industry and academia. However, recent empirical studies revealed what seems to be an overlooked aspect of the architecting of SoS tha...
2306.00316
Jia Li
Jia Li, Shiva Nejati, Mehrdad Sabetzadeh
Using Genetic Programming to Build Self-Adaptivity into Software-Defined Networks
Accepted for publication by ACM Transactions on Autonomous and Adaptive Systems (TAAS) (in Aug 2023). arXiv admin note: substantial text overlap with arXiv:2205.04352
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Self-adaptation solutions need to periodically monitor, reason about, and adapt a running system. The adaptation step involves generating an adaptation strategy and applying it to the running system whenever an anomaly arises. In this article, we argue that, rather than generating individual adaptation strategies, th...
[ { "created": "Thu, 1 Jun 2023 03:30:33 GMT", "version": "v1" }, { "created": "Tue, 15 Aug 2023 15:38:27 GMT", "version": "v2" } ]
2023-08-16
[ [ "Li", "Jia", "" ], [ "Nejati", "Shiva", "" ], [ "Sabetzadeh", "Mehrdad", "" ] ]
Self-adaptation solutions need to periodically monitor, reason about, and adapt a running system. The adaptation step involves generating an adaptation strategy and applying it to the running system whenever an anomaly arises. In this article, we argue that, rather than generating individual adaptation strategies, the ...
2403.17231
Saad Abdul Ghani
Saad Abdul Ghani, Zizhao Wang, Peter Stone, Xuesu Xiao
Dyna-LfLH: Learning Agile Navigation in Dynamic Environments from Learned Hallucination
Submitted to International Conference on Intelligent Robots and Systems (IROS) 2024
null
null
null
cs.RO cs.LG
http://creativecommons.org/licenses/by/4.0/
This paper presents a self-supervised learning method to safely learn a motion planner for ground robots to navigate environments with dense and dynamic obstacles. When facing highly-cluttered, fast-moving, hard-to-predict obstacles, classical motion planners may not be able to keep up with limited onboard computatio...
[ { "created": "Mon, 25 Mar 2024 22:17:51 GMT", "version": "v1" } ]
2024-03-27
[ [ "Ghani", "Saad Abdul", "" ], [ "Wang", "Zizhao", "" ], [ "Stone", "Peter", "" ], [ "Xiao", "Xuesu", "" ] ]
This paper presents a self-supervised learning method to safely learn a motion planner for ground robots to navigate environments with dense and dynamic obstacles. When facing highly-cluttered, fast-moving, hard-to-predict obstacles, classical motion planners may not be able to keep up with limited onboard computation....
1802.01021
Jonathan Raiman
Jonathan Raiman and Olivier Raiman
DeepType: Multilingual Entity Linking by Neural Type System Evolution
Presented at AAAI 2018
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The wealth of structured (e.g. Wikidata) and unstructured data about the world available today presents an incredible opportunity for tomorrow's Artificial Intelligence. So far, integration of these two different modalities is a difficult process, involving many decisions concerning how best to represent the informat...
[ { "created": "Sat, 3 Feb 2018 20:13:42 GMT", "version": "v1" } ]
2018-02-06
[ [ "Raiman", "Jonathan", "" ], [ "Raiman", "Olivier", "" ] ]
The wealth of structured (e.g. Wikidata) and unstructured data about the world available today presents an incredible opportunity for tomorrow's Artificial Intelligence. So far, integration of these two different modalities is a difficult process, involving many decisions concerning how best to represent the informatio...
2102.11395
Ghani Lawal Mr.
Ghani O. Lawal and Michael Greenspan
Procam Calibration from a Single Pose of a Planar Target
11 pages, 9 figures, 10 tables. Submitted to the VISAPP Conference. Stored in the SciTepress Digital Library: https://www.scitepress.org/PublicationsDetail.aspx?ID=rGG70YCQyOs=&t=1
In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 5: VISAPP, pages 817-827
10.5220/0010327708170827
null
cs.CV eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A novel user friendly method is proposed for calibrating a procam system from a single pose of a planar chessboard target. The user simply needs to orient the chessboard in a single appropriate pose. A sequence of Gray Code patterns are projected onto the chessboard, which allows correspondences between the camera, p...
[ { "created": "Mon, 22 Feb 2021 22:53:29 GMT", "version": "v1" } ]
2021-02-24
[ [ "Lawal", "Ghani O.", "" ], [ "Greenspan", "Michael", "" ] ]
A novel user friendly method is proposed for calibrating a procam system from a single pose of a planar chessboard target. The user simply needs to orient the chessboard in a single appropriate pose. A sequence of Gray Code patterns are projected onto the chessboard, which allows correspondences between the camera, pro...
1807.09380
Jue Wang
Jue Wang and Anoop Cherian
Contrastive Video Representation Learning via Adversarial Perturbations
Revised version of ECCV 2018 Paper: Learning Discriminative Video Representations Using Adversarial Perturbations
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
Adversarial perturbations are noise-like patterns that can subtly change the data, while failing an otherwise accurate classifier. In this paper, we propose to use such perturbations within a novel contrastive learning setup to build negative samples, which are then used to produce improved video representations. To ...
[ { "created": "Tue, 24 Jul 2018 22:46:42 GMT", "version": "v1" }, { "created": "Thu, 26 Jul 2018 13:46:24 GMT", "version": "v2" }, { "created": "Thu, 16 Apr 2020 00:03:53 GMT", "version": "v3" } ]
2020-04-17
[ [ "Wang", "Jue", "" ], [ "Cherian", "Anoop", "" ] ]
Adversarial perturbations are noise-like patterns that can subtly change the data, while failing an otherwise accurate classifier. In this paper, we propose to use such perturbations within a novel contrastive learning setup to build negative samples, which are then used to produce improved video representations. To th...
2211.01812
Hadi Hajieghrary
Sevag Tafnakaji and Hadi Hajieghrary and Quentin Teixeira and Yasemin Bekiroglu
Benchmarking local motion planners for navigation of mobile manipulators
Accepted to be presented at 2023 IEEE/SICE International Symposium on System Integration
null
null
null
cs.RO cs.SY eess.SY
http://creativecommons.org/licenses/by/4.0/
There are various trajectory planners for mobile manipulators. It is often challenging to compare their performance under similar circumstances due to differences in hardware, dissimilarity of tasks and objectives, as well as uncertainties in measurements and operating environments. In this paper, we propose a simula...
[ { "created": "Thu, 3 Nov 2022 13:45:55 GMT", "version": "v1" } ]
2022-11-04
[ [ "Tafnakaji", "Sevag", "" ], [ "Hajieghrary", "Hadi", "" ], [ "Teixeira", "Quentin", "" ], [ "Bekiroglu", "Yasemin", "" ] ]
There are various trajectory planners for mobile manipulators. It is often challenging to compare their performance under similar circumstances due to differences in hardware, dissimilarity of tasks and objectives, as well as uncertainties in measurements and operating environments. In this paper, we propose a simulati...
2205.09837
Keming Lu
Keming Lu, I-Hung Hsu, Wenxuan Zhou, Mingyu Derek Ma, Muhao Chen
Summarization as Indirect Supervision for Relation Extraction
Accepted by EMNLP 2022
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Relation extraction (RE) models have been challenged by their reliance on training data with expensive annotations. Considering that summarization tasks aim at acquiring concise expressions of synoptical information from the longer context, these tasks naturally align with the objective of RE, i.e., extracting a kind...
[ { "created": "Thu, 19 May 2022 20:25:29 GMT", "version": "v1" }, { "created": "Fri, 21 Oct 2022 04:31:52 GMT", "version": "v2" } ]
2022-10-24
[ [ "Lu", "Keming", "" ], [ "Hsu", "I-Hung", "" ], [ "Zhou", "Wenxuan", "" ], [ "Ma", "Mingyu Derek", "" ], [ "Chen", "Muhao", "" ] ]
Relation extraction (RE) models have been challenged by their reliance on training data with expensive annotations. Considering that summarization tasks aim at acquiring concise expressions of synoptical information from the longer context, these tasks naturally align with the objective of RE, i.e., extracting a kind o...
1201.1650
Matthew Patitz
Sarah Cannon, Erik D. Demaine, Martin L. Demaine, Sarah Eisenstat, Matthew J. Patitz, Robert Schweller, Scott M. Summers, Andrew Winslow
Two Hands Are Better Than One (up to constant factors)
null
null
null
null
cs.CC cs.CG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the difference between the standard seeded model of tile self-assembly, and the "seedless" two-handed model of tile self-assembly. Most of our results suggest that the two-handed model is more powerful. In particular, we show how to simulate any seeded system with a two-handed system that is essentially just...
[ { "created": "Sun, 8 Jan 2012 18:51:32 GMT", "version": "v1" } ]
2015-03-20
[ [ "Cannon", "Sarah", "" ], [ "Demaine", "Erik D.", "" ], [ "Demaine", "Martin L.", "" ], [ "Eisenstat", "Sarah", "" ], [ "Patitz", "Matthew J.", "" ], [ "Schweller", "Robert", "" ], [ "Summers", "Scott M.", "...
We study the difference between the standard seeded model of tile self-assembly, and the "seedless" two-handed model of tile self-assembly. Most of our results suggest that the two-handed model is more powerful. In particular, we show how to simulate any seeded system with a two-handed system that is essentially just a...
2011.10776
Suping Wu
Lei Li, Suping Wu
DmifNet:3D Shape Reconstruction Based on Dynamic Multi-Branch Information Fusion
ICPR 2020 (Oral)
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
3D object reconstruction from a single-view image is a long-standing challenging problem. Previous work was difficult to accurately reconstruct 3D shapes with a complex topology which has rich details at the edges and corners. Moreover, previous works used synthetic data to train their network, but domain adaptation ...
[ { "created": "Sat, 21 Nov 2020 11:31:27 GMT", "version": "v1" } ]
2020-11-24
[ [ "Li", "Lei", "" ], [ "Wu", "Suping", "" ] ]
3D object reconstruction from a single-view image is a long-standing challenging problem. Previous work was difficult to accurately reconstruct 3D shapes with a complex topology which has rich details at the edges and corners. Moreover, previous works used synthetic data to train their network, but domain adaptation pr...
2210.16160
Melissa Antonelli
Melissa Antonelli
Some Remarks on Counting Propositional Logic
joint work with Ugo Dal Lago and Paolo Pistone
null
null
null
cs.LO
http://creativecommons.org/licenses/by/4.0/
Counting propositional logic was recently introduced in relation to randomized computation and shown able to logically characterize the full counting hierarchy. In this paper we aim to clarify the intuitive meaning and expressive power of its univariate fragment. On the one hand, we provide an effective procedure to ...
[ { "created": "Fri, 28 Oct 2022 14:34:22 GMT", "version": "v1" }, { "created": "Wed, 16 Nov 2022 17:14:33 GMT", "version": "v2" } ]
2022-11-17
[ [ "Antonelli", "Melissa", "" ] ]
Counting propositional logic was recently introduced in relation to randomized computation and shown able to logically characterize the full counting hierarchy. In this paper we aim to clarify the intuitive meaning and expressive power of its univariate fragment. On the one hand, we provide an effective procedure to me...
1808.02941
Xiangyi Chen
Xiangyi Chen, Sijia Liu, Ruoyu Sun, Mingyi Hong
On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization
null
null
null
null
cs.LG math.OC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper studies a class of adaptive gradient based momentum algorithms that update the search directions and learning rates simultaneously using past gradients. This class, which we refer to as the "Adam-type", includes the popular algorithms such as the Adam, AMSGrad and AdaGrad. Despite their popularity in train...
[ { "created": "Wed, 8 Aug 2018 21:14:07 GMT", "version": "v1" }, { "created": "Sun, 10 Mar 2019 00:48:35 GMT", "version": "v2" } ]
2019-03-12
[ [ "Chen", "Xiangyi", "" ], [ "Liu", "Sijia", "" ], [ "Sun", "Ruoyu", "" ], [ "Hong", "Mingyi", "" ] ]
This paper studies a class of adaptive gradient based momentum algorithms that update the search directions and learning rates simultaneously using past gradients. This class, which we refer to as the "Adam-type", includes the popular algorithms such as the Adam, AMSGrad and AdaGrad. Despite their popularity in trainin...
2405.15556
Chong Xiang
Chong Xiang, Tong Wu, Zexuan Zhong, David Wagner, Danqi Chen, Prateek Mittal
Certifiably Robust RAG against Retrieval Corruption
null
null
null
null
cs.LG cs.CL cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Retrieval-augmented generation (RAG) has been shown vulnerable to retrieval corruption attacks: an attacker can inject malicious passages into retrieval results to induce inaccurate responses. In this paper, we propose RobustRAG as the first defense framework against retrieval corruption attacks. The key insight of R...
[ { "created": "Fri, 24 May 2024 13:44:25 GMT", "version": "v1" } ]
2024-05-27
[ [ "Xiang", "Chong", "" ], [ "Wu", "Tong", "" ], [ "Zhong", "Zexuan", "" ], [ "Wagner", "David", "" ], [ "Chen", "Danqi", "" ], [ "Mittal", "Prateek", "" ] ]
Retrieval-augmented generation (RAG) has been shown vulnerable to retrieval corruption attacks: an attacker can inject malicious passages into retrieval results to induce inaccurate responses. In this paper, we propose RobustRAG as the first defense framework against retrieval corruption attacks. The key insight of Rob...
2308.03299
Aimen Gaba
Aimen Gaba, Zhanna Kaufman, Jason Chueng, Marie Shvakel, Kyle Wm. Hall, Yuriy Brun, and Cindy Xiong Bearfield
My Model is Unfair, Do People Even Care? Visual Design Affects Trust and Perceived Bias in Machine Learning
11 pages, 6 figures, to appear in IEEE Transactions of Visualization and Computer Graphics (Also in proceedings of IEEE VIS 2023)
IEEE TVCG 30(1):327-337
10.1109/TVCG.2023.3327192
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Machine learning technology has become ubiquitous, but, unfortunately, often exhibits bias. As a consequence, disparate stakeholders need to interact with and make informed decisions about using machine learning models in everyday systems. Visualization technology can support stakeholders in understanding and evaluat...
[ { "created": "Mon, 7 Aug 2023 05:01:39 GMT", "version": "v1" } ]
2024-01-12
[ [ "Gaba", "Aimen", "" ], [ "Kaufman", "Zhanna", "" ], [ "Chueng", "Jason", "" ], [ "Shvakel", "Marie", "" ], [ "Hall", "Kyle Wm.", "" ], [ "Brun", "Yuriy", "" ], [ "Bearfield", "Cindy Xiong", "" ] ]
Machine learning technology has become ubiquitous, but, unfortunately, often exhibits bias. As a consequence, disparate stakeholders need to interact with and make informed decisions about using machine learning models in everyday systems. Visualization technology can support stakeholders in understanding and evaluatin...
1002.4057
Julien Langou
Emmanuel Agullo, Henricus Bouwmeester, Jack Dongarra, Jakub Kurzak, Julien Langou, and Lee Rosenberg
Towards an Efficient Tile Matrix Inversion of Symmetric Positive Definite Matrices on Multicore Architectures
8 pages, extended abstract submitted to VecPar10 on 12/11/09, notification of acceptance received on 02/05/10. See: http://vecpar.fe.up.pt/2010/
null
null
null
cs.MS cs.NA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The algorithms in the current sequential numerical linear algebra libraries (e.g. LAPACK) do not parallelize well on multicore architectures. A new family of algorithms, the tile algorithms, has recently been introduced. Previous research has shown that it is possible to write efficient and scalable tile algorithms f...
[ { "created": "Mon, 22 Feb 2010 06:11:41 GMT", "version": "v1" } ]
2010-02-23
[ [ "Agullo", "Emmanuel", "" ], [ "Bouwmeester", "Henricus", "" ], [ "Dongarra", "Jack", "" ], [ "Kurzak", "Jakub", "" ], [ "Langou", "Julien", "" ], [ "Rosenberg", "Lee", "" ] ]
The algorithms in the current sequential numerical linear algebra libraries (e.g. LAPACK) do not parallelize well on multicore architectures. A new family of algorithms, the tile algorithms, has recently been introduced. Previous research has shown that it is possible to write efficient and scalable tile algorithms for...
2206.01441
Paula Delgado-Santos
Paula Delgado-Santos, Ruben Tolosana, Richard Guest, Farzin Deravi, Ruben Vera-Rodriguez
Exploring Transformers for Behavioural Biometrics: A Case Study in Gait Recognition
null
null
null
null
cs.CV cs.HC
http://creativecommons.org/licenses/by-nc-nd/4.0/
Biometrics on mobile devices has attracted a lot of attention in recent years as it is considered a user-friendly authentication method. This interest has also been motivated by the success of Deep Learning (DL). Architectures based on Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) have bee...
[ { "created": "Fri, 3 Jun 2022 08:08:40 GMT", "version": "v1" } ]
2022-06-06
[ [ "Delgado-Santos", "Paula", "" ], [ "Tolosana", "Ruben", "" ], [ "Guest", "Richard", "" ], [ "Deravi", "Farzin", "" ], [ "Vera-Rodriguez", "Ruben", "" ] ]
Biometrics on mobile devices has attracted a lot of attention in recent years as it is considered a user-friendly authentication method. This interest has also been motivated by the success of Deep Learning (DL). Architectures based on Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) have been ...
2403.15472
Boxuan Ma Dr.
Boxaun Ma, Li Chen and Shin'ichi Konomi
Enhancing Programming Education with ChatGPT: A Case Study on Student Perceptions and Interactions in a Python Course
null
null
null
null
cs.CY cs.AI cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The integration of ChatGPT as a supportive tool in education, notably in programming courses, addresses the unique challenges of programming education by providing assistance with debugging, code generation, and explanations. Despite existing research validating ChatGPT's effectiveness, its application in university-...
[ { "created": "Wed, 20 Mar 2024 15:47:28 GMT", "version": "v1" }, { "created": "Wed, 27 Mar 2024 06:22:41 GMT", "version": "v2" }, { "created": "Fri, 5 Apr 2024 11:32:24 GMT", "version": "v3" } ]
2024-04-08
[ [ "Ma", "Boxaun", "" ], [ "Chen", "Li", "" ], [ "Konomi", "Shin'ichi", "" ] ]
The integration of ChatGPT as a supportive tool in education, notably in programming courses, addresses the unique challenges of programming education by providing assistance with debugging, code generation, and explanations. Despite existing research validating ChatGPT's effectiveness, its application in university-le...
1107.2781
Rami C.
Rami Cohen
Face Recognition using Curvelet Transform
24 pages
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/3.0/
Face recognition has been studied extensively for more than 20 years now. Since the beginning of 90s the subject has became a major issue. This technology is used in many important real-world applications, such as video surveillance, smart cards, database security, internet and intranet access. This report reviews re...
[ { "created": "Thu, 14 Jul 2011 10:44:01 GMT", "version": "v1" } ]
2011-07-15
[ [ "Cohen", "Rami", "" ] ]
Face recognition has been studied extensively for more than 20 years now. Since the beginning of 90s the subject has became a major issue. This technology is used in many important real-world applications, such as video surveillance, smart cards, database security, internet and intranet access. This report reviews rece...
2109.12052
Ajith Anil Meera
Fred Bos, Ajith Anil Meera, Dennis Benders and Martijn Wisse
Free Energy Principle for State and Input Estimation of a Quadcopter Flying in Wind
Submitted manuscript under review
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The free energy principle from neuroscience provides a brain-inspired perception scheme through a data-driven model learning algorithm called Dynamic Expectation Maximization (DEM). This paper aims at introducing an experimental design to provide the first experimental confirmation of the usefulness of DEM as a state...
[ { "created": "Fri, 24 Sep 2021 16:18:04 GMT", "version": "v1" } ]
2021-09-27
[ [ "Bos", "Fred", "" ], [ "Meera", "Ajith Anil", "" ], [ "Benders", "Dennis", "" ], [ "Wisse", "Martijn", "" ] ]
The free energy principle from neuroscience provides a brain-inspired perception scheme through a data-driven model learning algorithm called Dynamic Expectation Maximization (DEM). This paper aims at introducing an experimental design to provide the first experimental confirmation of the usefulness of DEM as a state a...
1511.03383
Weimin Wang
Xue Dong, Kun Wang, Chong Xu, Weimin Wang
Information Rate Decomposition for Feedback Systems with Output Disturbance
5 pages, technical note
null
null
null
cs.IT cs.SY math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This technical note considers the problem of resource allocation in linear feedback control system with output disturbance. By decomposing the information rate in the feedback communication channel, the channel resource allocation is thoroughly analyzed. The results show that certain amount of resource is used to tra...
[ { "created": "Wed, 11 Nov 2015 04:22:21 GMT", "version": "v1" } ]
2015-11-12
[ [ "Dong", "Xue", "" ], [ "Wang", "Kun", "" ], [ "Xu", "Chong", "" ], [ "Wang", "Weimin", "" ] ]
This technical note considers the problem of resource allocation in linear feedback control system with output disturbance. By decomposing the information rate in the feedback communication channel, the channel resource allocation is thoroughly analyzed. The results show that certain amount of resource is used to trans...
2304.06287
Chen Yang
Chen Yang, Peihao Li, Zanwei Zhou, Shanxin Yuan, Bingbing Liu, Xiaokang Yang, Weichao Qiu, Wei Shen
NeRFVS: Neural Radiance Fields for Free View Synthesis via Geometry Scaffolds
10 pages, 7 figures
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present NeRFVS, a novel neural radiance fields (NeRF) based method to enable free navigation in a room. NeRF achieves impressive performance in rendering images for novel views similar to the input views while suffering for novel views that are significantly different from the training views. To address this issue...
[ { "created": "Thu, 13 Apr 2023 06:40:08 GMT", "version": "v1" }, { "created": "Tue, 23 May 2023 12:49:17 GMT", "version": "v2" } ]
2023-05-24
[ [ "Yang", "Chen", "" ], [ "Li", "Peihao", "" ], [ "Zhou", "Zanwei", "" ], [ "Yuan", "Shanxin", "" ], [ "Liu", "Bingbing", "" ], [ "Yang", "Xiaokang", "" ], [ "Qiu", "Weichao", "" ], [ "Shen", "Wei...
We present NeRFVS, a novel neural radiance fields (NeRF) based method to enable free navigation in a room. NeRF achieves impressive performance in rendering images for novel views similar to the input views while suffering for novel views that are significantly different from the training views. To address this issue, ...
2105.12374
Khadija Shaheen
Khadija Shaheen, Muhammad Abdullah Hanif, Osman Hasan, Muhammad Shafique
Continual Learning for Real-World Autonomous Systems: Algorithms, Challenges and Frameworks
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Continual learning is essential for all real-world applications, as frozen pre-trained models cannot effectively deal with non-stationary data distributions. The purpose of this study is to review the state-of-the-art methods that allow continuous learning of computational models over time. We primarily focus on the ...
[ { "created": "Wed, 26 May 2021 07:38:20 GMT", "version": "v1" }, { "created": "Fri, 25 Feb 2022 00:08:20 GMT", "version": "v2" } ]
2022-02-28
[ [ "Shaheen", "Khadija", "" ], [ "Hanif", "Muhammad Abdullah", "" ], [ "Hasan", "Osman", "" ], [ "Shafique", "Muhammad", "" ] ]
Continual learning is essential for all real-world applications, as frozen pre-trained models cannot effectively deal with non-stationary data distributions. The purpose of this study is to review the state-of-the-art methods that allow continuous learning of computational models over time. We primarily focus on the le...
1806.07586
Andreas Bjorklund
Andreas Bj\"orklund and Thore Husfeldt
Counting Shortest Two Disjoint Paths in Cubic Planar Graphs with an NC Algorithm
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Given an undirected graph and two disjoint vertex pairs $s_1,t_1$ and $s_2,t_2$, the Shortest two disjoint paths problem (S2DP) asks for the minimum total length of two vertex disjoint paths connecting $s_1$ with $t_1$, and $s_2$ with $t_2$, respectively. We show that for cubic planar graphs there are NC algorithms...
[ { "created": "Wed, 20 Jun 2018 07:26:37 GMT", "version": "v1" } ]
2018-06-21
[ [ "Björklund", "Andreas", "" ], [ "Husfeldt", "Thore", "" ] ]
Given an undirected graph and two disjoint vertex pairs $s_1,t_1$ and $s_2,t_2$, the Shortest two disjoint paths problem (S2DP) asks for the minimum total length of two vertex disjoint paths connecting $s_1$ with $t_1$, and $s_2$ with $t_2$, respectively. We show that for cubic planar graphs there are NC algorithms, un...
2204.01731
Shuang Liang
Shuang Liang, Yinan Zou, and Yong Zhou
Gan-Based Joint Activity Detection and Channel Estimation For Grant-free Random Access
5 pages, 5 figures IEEE ICASSP2022
null
null
null
cs.LG eess.SP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Joint activity detection and channel estimation (JADCE) for grant-free random access is a critical issue that needs to be addressed to support massive connectivity in IoT networks. However, the existing model-free learning method can only achieve either activity detection or channel estimation, but not both. In this ...
[ { "created": "Mon, 4 Apr 2022 12:35:37 GMT", "version": "v1" } ]
2022-04-06
[ [ "Liang", "Shuang", "" ], [ "Zou", "Yinan", "" ], [ "Zhou", "Yong", "" ] ]
Joint activity detection and channel estimation (JADCE) for grant-free random access is a critical issue that needs to be addressed to support massive connectivity in IoT networks. However, the existing model-free learning method can only achieve either activity detection or channel estimation, but not both. In this pa...
2106.14139
Zhongyun Hua
Zhongyun Hua and Yanxiang Wang and Shuang Yi and Yicong Zhou and Xiaohua Jia
Secure Reversible Data Hiding in Encrypted Images Using Cipher-Feedback Secret Sharing
14 pages
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Reversible data hiding in encrypted images (RDH-EI) has attracted increasing attention, since it can protect the privacy of original images while the embedded data can be exactly extracted. Recently, some RDH-EI schemes with multiple data hiders have been proposed using secret sharing technique. However, these scheme...
[ { "created": "Sun, 27 Jun 2021 04:03:56 GMT", "version": "v1" } ]
2021-06-29
[ [ "Hua", "Zhongyun", "" ], [ "Wang", "Yanxiang", "" ], [ "Yi", "Shuang", "" ], [ "Zhou", "Yicong", "" ], [ "Jia", "Xiaohua", "" ] ]
Reversible data hiding in encrypted images (RDH-EI) has attracted increasing attention, since it can protect the privacy of original images while the embedded data can be exactly extracted. Recently, some RDH-EI schemes with multiple data hiders have been proposed using secret sharing technique. However, these schemes ...
2403.07118
Ameeta Agrawal
Atharva Phatak, Vijay K. Mago, Ameeta Agrawal, Aravind Inbasekaran, Philippe J. Giabbanelli
Narrating Causal Graphs with Large Language Models
HICSS '24
Proceedings of the 57th Hawaii International Conference on System Sciences 2024
null
https://hdl.handle.net/10125/107290
cs.CL
http://creativecommons.org/licenses/by-nc-nd/4.0/
The use of generative AI to create text descriptions from graphs has mostly focused on knowledge graphs, which connect concepts using facts. In this work we explore the capability of large pretrained language models to generate text from causal graphs, where salient concepts are represented as nodes and causality is ...
[ { "created": "Mon, 11 Mar 2024 19:19:59 GMT", "version": "v1" } ]
2024-04-09
[ [ "Phatak", "Atharva", "" ], [ "Mago", "Vijay K.", "" ], [ "Agrawal", "Ameeta", "" ], [ "Inbasekaran", "Aravind", "" ], [ "Giabbanelli", "Philippe J.", "" ] ]
The use of generative AI to create text descriptions from graphs has mostly focused on knowledge graphs, which connect concepts using facts. In this work we explore the capability of large pretrained language models to generate text from causal graphs, where salient concepts are represented as nodes and causality is re...
2111.14018
Raja Karmakar
Priyanka Bothra, Raja Karmakar, Sanjukta Bhattacharya, Sayantani De
How Can Applications of Blockchain and Artificial Intelligence Improve Performance of Internet of Things? -- A Survey
null
null
null
null
cs.NI
http://creativecommons.org/licenses/by/4.0/
In the era of the Internet of Things (IoT), massive computing devices surrounding us operate and interact with each other to provide several significant services in industries, medical as well as in daily life activities at home, office, education sectors, and so on. The participating devices in an IoT network usuall...
[ { "created": "Sun, 28 Nov 2021 01:45:15 GMT", "version": "v1" } ]
2021-11-30
[ [ "Bothra", "Priyanka", "" ], [ "Karmakar", "Raja", "" ], [ "Bhattacharya", "Sanjukta", "" ], [ "De", "Sayantani", "" ] ]
In the era of the Internet of Things (IoT), massive computing devices surrounding us operate and interact with each other to provide several significant services in industries, medical as well as in daily life activities at home, office, education sectors, and so on. The participating devices in an IoT network usually ...
2309.01949
Berthy Feng
Berthy T. Feng, Katherine L. Bouman
Efficient Bayesian Computational Imaging with a Surrogate Score-Based Prior
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a surrogate function for efficient use of score-based priors for Bayesian inverse imaging. Recent work turned score-based diffusion models into probabilistic priors for solving ill-posed imaging problems by appealing to an ODE-based log-probability function. However, evaluating this function is computation...
[ { "created": "Tue, 5 Sep 2023 04:55:10 GMT", "version": "v1" } ]
2023-09-06
[ [ "Feng", "Berthy T.", "" ], [ "Bouman", "Katherine L.", "" ] ]
We propose a surrogate function for efficient use of score-based priors for Bayesian inverse imaging. Recent work turned score-based diffusion models into probabilistic priors for solving ill-posed imaging problems by appealing to an ODE-based log-probability function. However, evaluating this function is computational...
2402.04168
Daniel Bogdoll
Daniel Bogdoll, Jing Qin, Moritz Nekolla, Ahmed Abouelazm, Tim Joseph, J. Marius Z\"ollner
Informed Reinforcement Learning for Situation-Aware Traffic Rule Exceptions
Daniel Bogdoll and Jing Qin contributed equally. Accepted for publication at ICRA 2024
null
null
null
cs.LG cs.CV cs.RO
http://creativecommons.org/licenses/by/4.0/
Reinforcement Learning is a highly active research field with promising advancements. In the field of autonomous driving, however, often very simple scenarios are being examined. Common approaches use non-interpretable control commands as the action space and unstructured reward designs which lack structure. In this ...
[ { "created": "Tue, 6 Feb 2024 17:24:06 GMT", "version": "v1" }, { "created": "Wed, 12 Jun 2024 11:34:30 GMT", "version": "v2" } ]
2024-06-13
[ [ "Bogdoll", "Daniel", "" ], [ "Qin", "Jing", "" ], [ "Nekolla", "Moritz", "" ], [ "Abouelazm", "Ahmed", "" ], [ "Joseph", "Tim", "" ], [ "Zöllner", "J. Marius", "" ] ]
Reinforcement Learning is a highly active research field with promising advancements. In the field of autonomous driving, however, often very simple scenarios are being examined. Common approaches use non-interpretable control commands as the action space and unstructured reward designs which lack structure. In this wo...
2310.05471
Siddharth Gupta
Siddharth Gupta, Guy Sa'ar, Meirav Zehavi
Drawn Tree Decomposition: New Approach for Graph Drawing Problems
A preliminary version of this paper will appear in the Proceedings of IPEC 2023
null
null
null
cs.DS cs.CG
http://creativecommons.org/licenses/by/4.0/
Over the past decade, we witness an increasing amount of interest in the design of exact exponential-time and parameterized algorithms for problems in Graph Drawing. Unfortunately, we still lack knowledge of general methods to develop such algorithms. An even more serious issue is that, here, "standard" parameters ve...
[ { "created": "Mon, 9 Oct 2023 07:27:17 GMT", "version": "v1" } ]
2023-10-10
[ [ "Gupta", "Siddharth", "" ], [ "Sa'ar", "Guy", "" ], [ "Zehavi", "Meirav", "" ] ]
Over the past decade, we witness an increasing amount of interest in the design of exact exponential-time and parameterized algorithms for problems in Graph Drawing. Unfortunately, we still lack knowledge of general methods to develop such algorithms. An even more serious issue is that, here, "standard" parameters very...
1810.01172
Yousef Alnagar
Yousef AlNagar, Sameh Hosny and Amr A. El-Sherif
Towards Mobility-Aware Proactive Caching for Vehicular Ad hoc Networks
null
null
null
null
cs.NI
http://creativecommons.org/licenses/by/4.0/
Harnessing information about the user mobility pattern and daily demand can enhance the network capability to improve the quality of experience (QoE) at Vehicular Ad-Hoc Networks (VANETs). Proactive caching, as one of the key features offered by 5G networks, has lately received much interest. However, more research i...
[ { "created": "Tue, 2 Oct 2018 11:19:30 GMT", "version": "v1" } ]
2018-10-03
[ [ "AlNagar", "Yousef", "" ], [ "Hosny", "Sameh", "" ], [ "El-Sherif", "Amr A.", "" ] ]
Harnessing information about the user mobility pattern and daily demand can enhance the network capability to improve the quality of experience (QoE) at Vehicular Ad-Hoc Networks (VANETs). Proactive caching, as one of the key features offered by 5G networks, has lately received much interest. However, more research is ...
1607.04629
Aronee Dasgupta Mr
Aronee Dasgupta, Sahil Chakraborty, Astha Nachrani and Pritam Gajkumar Shah
Lightweight Security Protocol for WiSense based Wireless Sensor Network
5 pages, 4 figures, 2 tables. Published with International Journal of Computer Applications (IJCA)
International Journal of Computer Applications 145(3):6-10, July 2016
10.5120/ijca2016910172
null
cs.NI cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Wireless Sensor Networks have emerged as one of the leading technologies. These networks are designed to monitor crucial environmental parameters of humidity, temperature, wind speed, soil moisture content, UV index, sound, etc. and then transfer the required information to the base station. However, security remains...
[ { "created": "Fri, 15 Jul 2016 19:46:36 GMT", "version": "v1" } ]
2016-07-18
[ [ "Dasgupta", "Aronee", "" ], [ "Chakraborty", "Sahil", "" ], [ "Nachrani", "Astha", "" ], [ "Shah", "Pritam Gajkumar", "" ] ]
Wireless Sensor Networks have emerged as one of the leading technologies. These networks are designed to monitor crucial environmental parameters of humidity, temperature, wind speed, soil moisture content, UV index, sound, etc. and then transfer the required information to the base station. However, security remains t...
2011.04702
Zhiqian Qiao
Josiah Coad, Zhiqian Qiao, John M. Dolan
Safe Trajectory Planning Using Reinforcement Learning for Self Driving
7 pages, 5 figures
null
null
null
cs.RO cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Self-driving vehicles must be able to act intelligently in diverse and difficult environments, marked by high-dimensional state spaces, a myriad of optimization objectives and complex behaviors. Traditionally, classical optimization and search techniques have been applied to the problem of self-driving; but they do n...
[ { "created": "Mon, 9 Nov 2020 19:29:14 GMT", "version": "v1" } ]
2020-11-11
[ [ "Coad", "Josiah", "" ], [ "Qiao", "Zhiqian", "" ], [ "Dolan", "John M.", "" ] ]
Self-driving vehicles must be able to act intelligently in diverse and difficult environments, marked by high-dimensional state spaces, a myriad of optimization objectives and complex behaviors. Traditionally, classical optimization and search techniques have been applied to the problem of self-driving; but they do not...
2006.12063
Perttu H\"am\"al\"ainen
Perttu H\"am\"al\"ainen and Martin Trapp and Tuure Saloheimo and Arno Solin
Deep Residual Mixture Models
Code and examples can be found at https://github.com/PerttuHamalainen/DRMM
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose Deep Residual Mixture Models (DRMMs), a novel deep generative model architecture. Compared to other deep models, DRMMs allow more flexible conditional sampling: The model can be trained once with all variables, and then used for sampling with arbitrary combinations of conditioning variables, Gaussian prior...
[ { "created": "Mon, 22 Jun 2020 08:25:41 GMT", "version": "v1" }, { "created": "Fri, 20 Nov 2020 14:35:15 GMT", "version": "v2" }, { "created": "Wed, 21 Jul 2021 06:26:14 GMT", "version": "v3" } ]
2021-07-22
[ [ "Hämäläinen", "Perttu", "" ], [ "Trapp", "Martin", "" ], [ "Saloheimo", "Tuure", "" ], [ "Solin", "Arno", "" ] ]
We propose Deep Residual Mixture Models (DRMMs), a novel deep generative model architecture. Compared to other deep models, DRMMs allow more flexible conditional sampling: The model can be trained once with all variables, and then used for sampling with arbitrary combinations of conditioning variables, Gaussian priors,...
1512.00659
Sanjay Sahay
Aruna Govada, Bhavul Gauri and S.K.Sahay
Centroid Based Binary Tree Structured SVM for Multi Classification
Presented in ICACCI, Kochi, India, 2015
IEEE Xplore, Advances in Computing, Communications and Informatics (ICACCI), p.258 - 262, 2015
10.1109/ICACCI.2015.7275618
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Support Vector Machines (SVMs) were primarily designed for 2-class classification. But they have been extended for N-class classification also based on the requirement of multiclasses in the practical applications. Although N-class classification using SVM has considerable research attention, getting minimum number o...
[ { "created": "Wed, 2 Dec 2015 11:48:38 GMT", "version": "v1" } ]
2015-12-03
[ [ "Govada", "Aruna", "" ], [ "Gauri", "Bhavul", "" ], [ "Sahay", "S. K.", "" ] ]
Support Vector Machines (SVMs) were primarily designed for 2-class classification. But they have been extended for N-class classification also based on the requirement of multiclasses in the practical applications. Although N-class classification using SVM has considerable research attention, getting minimum number of ...
1911.03904
Deli Chen
Deli Chen, Xiaoqian Liu, Yankai Lin, Peng Li, Jie Zhou, Qi Su, Xu Sun
HighwayGraph: Modelling Long-distance Node Relations for Improving General Graph Neural Network
8 pages
null
null
null
cs.LG cs.CL cs.SI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Graph Neural Networks (GNNs) are efficient approaches to process graph-structured data. Modelling long-distance node relations is essential for GNN training and applications. However, conventional GNNs suffer from bad performance in modelling long-distance node relations due to limited-layer information propagation. ...
[ { "created": "Sun, 10 Nov 2019 11:23:37 GMT", "version": "v1" }, { "created": "Sun, 17 May 2020 05:18:55 GMT", "version": "v2" } ]
2020-05-19
[ [ "Chen", "Deli", "" ], [ "Liu", "Xiaoqian", "" ], [ "Lin", "Yankai", "" ], [ "Li", "Peng", "" ], [ "Zhou", "Jie", "" ], [ "Su", "Qi", "" ], [ "Sun", "Xu", "" ] ]
Graph Neural Networks (GNNs) are efficient approaches to process graph-structured data. Modelling long-distance node relations is essential for GNN training and applications. However, conventional GNNs suffer from bad performance in modelling long-distance node relations due to limited-layer information propagation. Ex...
1401.0734
Megasthenis Asteris
Megasthenis Asteris, Alexandros G. Dimakis
Repairable Fountain Codes
To appear in IEEE Journal on Selected Areas in Communications, Issue on Communication Methodologies for Next-Generation Storage Systems 2013, 11 pages, 2 figures
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce a new family of Fountain codes that are systematic and also have sparse parities. Given an input of $k$ symbols, our codes produce an unbounded number of output symbols, generating each parity independently by linearly combining a logarithmic number of randomly selected input symbols. The construction gu...
[ { "created": "Fri, 3 Jan 2014 21:18:12 GMT", "version": "v1" } ]
2014-01-07
[ [ "Asteris", "Megasthenis", "" ], [ "Dimakis", "Alexandros G.", "" ] ]
We introduce a new family of Fountain codes that are systematic and also have sparse parities. Given an input of $k$ symbols, our codes produce an unbounded number of output symbols, generating each parity independently by linearly combining a logarithmic number of randomly selected input symbols. The construction guar...
2306.07618
Lingfeng Wen
Lingfeng Wen, Xuan Tang, Mingjie Ouyang, Xiangxiang Shen, Jian Yang, Daxin Zhu, Mingsong Chen, Xian Wei
Hyperbolic Graph Diffusion Model
accepted by AAAI 2024
null
null
null
cs.LG cs.AI q-bio.QM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Diffusion generative models (DMs) have achieved promising results in image and graph generation. However, real-world graphs, such as social networks, molecular graphs, and traffic graphs, generally share non-Euclidean topologies and hidden hierarchies. For example, the degree distributions of graphs are mostly power-...
[ { "created": "Tue, 13 Jun 2023 08:22:18 GMT", "version": "v1" }, { "created": "Thu, 15 Jun 2023 06:25:24 GMT", "version": "v2" }, { "created": "Wed, 3 Jan 2024 11:22:21 GMT", "version": "v3" } ]
2024-01-04
[ [ "Wen", "Lingfeng", "" ], [ "Tang", "Xuan", "" ], [ "Ouyang", "Mingjie", "" ], [ "Shen", "Xiangxiang", "" ], [ "Yang", "Jian", "" ], [ "Zhu", "Daxin", "" ], [ "Chen", "Mingsong", "" ], [ "Wei", "...
Diffusion generative models (DMs) have achieved promising results in image and graph generation. However, real-world graphs, such as social networks, molecular graphs, and traffic graphs, generally share non-Euclidean topologies and hidden hierarchies. For example, the degree distributions of graphs are mostly power-la...
2312.16210
James Davenport
James H. Davenport and Matthew England and Scott McCallum and Ali K. Uncu
Iterated Resultants and Rational Functions in Real Quantifier Elimination
To be submitted to Mathematics in Computer Science
null
null
null
cs.SC math.AG
http://creativecommons.org/licenses/by/4.0/
This paper builds and extends on the authors previous work related to the algorithmic tool, Cylindrical Algebraic Decomposition (CAD), and one of its core applications, Real Quantifier Elimination (QE). These topics are at the heart of symbolic computation and were first implemented in computer algebra systems decade...
[ { "created": "Sat, 23 Dec 2023 17:32:45 GMT", "version": "v1" } ]
2023-12-29
[ [ "Davenport", "James H.", "" ], [ "England", "Matthew", "" ], [ "McCallum", "Scott", "" ], [ "Uncu", "Ali K.", "" ] ]
This paper builds and extends on the authors previous work related to the algorithmic tool, Cylindrical Algebraic Decomposition (CAD), and one of its core applications, Real Quantifier Elimination (QE). These topics are at the heart of symbolic computation and were first implemented in computer algebra systems decades ...
2302.09079
Biplav Srivastava
Biplav Srivastava, Kausik Lakkaraju, Mariana Bernagozzi, Marco Valtorta
Advances in Automatically Rating the Trustworthiness of Text Processing Services
9 pages, Accepted at 2023 Spring Symposium on AI Trustworthiness Assessment
null
null
null
cs.HC cs.AI
http://creativecommons.org/licenses/by-nc-nd/4.0/
AI services are known to have unstable behavior when subjected to changes in data, models or users. Such behaviors, whether triggered by omission or commission, lead to trust issues when AI works with humans. The current approach of assessing AI services in a black box setting, where the consumer does not have access...
[ { "created": "Sat, 4 Feb 2023 14:27:46 GMT", "version": "v1" } ]
2023-02-21
[ [ "Srivastava", "Biplav", "" ], [ "Lakkaraju", "Kausik", "" ], [ "Bernagozzi", "Mariana", "" ], [ "Valtorta", "Marco", "" ] ]
AI services are known to have unstable behavior when subjected to changes in data, models or users. Such behaviors, whether triggered by omission or commission, lead to trust issues when AI works with humans. The current approach of assessing AI services in a black box setting, where the consumer does not have access t...
2204.07724
Dongxiao Zhang
Hao Xu, Yuntian Chen, Dongxiao Zhang
Semantic interpretation for convolutional neural networks: What makes a cat a cat?
33 pages, 11 figures
Advanced Science, 2022
10.1002/advs.202204723
null
cs.LG cs.AI cs.CV
http://creativecommons.org/licenses/by-nc-nd/4.0/
The interpretability of deep neural networks has attracted increasing attention in recent years, and several methods have been created to interpret the "black box" model. Fundamental limitations remain, however, that impede the pace of understanding the networks, especially the extraction of understandable semantic s...
[ { "created": "Sat, 16 Apr 2022 05:25:17 GMT", "version": "v1" } ]
2023-12-05
[ [ "Xu", "Hao", "" ], [ "Chen", "Yuntian", "" ], [ "Zhang", "Dongxiao", "" ] ]
The interpretability of deep neural networks has attracted increasing attention in recent years, and several methods have been created to interpret the "black box" model. Fundamental limitations remain, however, that impede the pace of understanding the networks, especially the extraction of understandable semantic spa...
2301.10761
Tanvi Dinkar
Tanvi Dinkar, Chlo\'e Clavel, Ioana Vasilescu
Fillers in Spoken Language Understanding: Computational and Psycholinguistic Perspectives
\footnote{This article has been published in the journal "Traitement Automatique des Langues" 63(3): 37-62, 2022,@ATALA. The original manuscript is available on the web site www.atala.org}
null
null
null
cs.CL cs.HC
http://creativecommons.org/licenses/by/4.0/
Disfluencies (i.e. interruptions in the regular flow of speech), are ubiquitous to spoken discourse. Fillers ("uh", "um") are disfluencies that occur the most frequently compared to other kinds of disfluencies. Yet, to the best of our knowledge, there isn't a resource that brings together the research perspectives in...
[ { "created": "Wed, 25 Jan 2023 18:55:05 GMT", "version": "v1" }, { "created": "Wed, 8 Mar 2023 19:10:39 GMT", "version": "v2" }, { "created": "Fri, 10 Mar 2023 11:04:26 GMT", "version": "v3" }, { "created": "Fri, 24 Mar 2023 15:35:49 GMT", "version": "v4" } ]
2023-03-27
[ [ "Dinkar", "Tanvi", "" ], [ "Clavel", "Chloé", "" ], [ "Vasilescu", "Ioana", "" ] ]
Disfluencies (i.e. interruptions in the regular flow of speech), are ubiquitous to spoken discourse. Fillers ("uh", "um") are disfluencies that occur the most frequently compared to other kinds of disfluencies. Yet, to the best of our knowledge, there isn't a resource that brings together the research perspectives infl...
2110.09443
Benjamin Chamberlain Dr
Benjamin Paul Chamberlain, James Rowbottom, Davide Eynard, Francesco Di Giovanni, Xiaowen Dong, Michael M Bronstein
Beltrami Flow and Neural Diffusion on Graphs
21 pages, 5 figures. Proceedings of the Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS) 2021
null
null
null
cs.LG cs.AI stat.ML
http://creativecommons.org/licenses/by/4.0/
We propose a novel class of graph neural networks based on the discretised Beltrami flow, a non-Euclidean diffusion PDE. In our model, node features are supplemented with positional encodings derived from the graph topology and jointly evolved by the Beltrami flow, producing simultaneously continuous feature learning...
[ { "created": "Mon, 18 Oct 2021 16:23:38 GMT", "version": "v1" } ]
2021-10-19
[ [ "Chamberlain", "Benjamin Paul", "" ], [ "Rowbottom", "James", "" ], [ "Eynard", "Davide", "" ], [ "Di Giovanni", "Francesco", "" ], [ "Dong", "Xiaowen", "" ], [ "Bronstein", "Michael M", "" ] ]
We propose a novel class of graph neural networks based on the discretised Beltrami flow, a non-Euclidean diffusion PDE. In our model, node features are supplemented with positional encodings derived from the graph topology and jointly evolved by the Beltrami flow, producing simultaneously continuous feature learning a...
2309.08871
Yanhao Yang
Yanhao Yang, Capprin Bass, Ross L. Hatton
Towards Geometric Motion Planning for High-Dimensional Systems: Gait-Based Coordinate Optimization and Local Metrics
7 pages, 6 figures, accepted to the 2024 IEEE International Conference on Robotics and Automation (ICRA 2024)
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Geometric motion planning offers effective and interpretable gait analysis and optimization tools for locomoting systems. However, due to the curse of dimensionality in coordinate optimization, a key component of geometric motion planning, it is almost infeasible to apply current geometric motion planning to high-dim...
[ { "created": "Sat, 16 Sep 2023 04:28:12 GMT", "version": "v1" }, { "created": "Thu, 7 Mar 2024 04:51:34 GMT", "version": "v2" } ]
2024-03-08
[ [ "Yang", "Yanhao", "" ], [ "Bass", "Capprin", "" ], [ "Hatton", "Ross L.", "" ] ]
Geometric motion planning offers effective and interpretable gait analysis and optimization tools for locomoting systems. However, due to the curse of dimensionality in coordinate optimization, a key component of geometric motion planning, it is almost infeasible to apply current geometric motion planning to high-dimen...
2403.15458
Daniel Fesalbon
Daniel Fesalbon, Arvin De La Cruz, Marvin Mallari, and Nelson Rodelas
Fine-Tuning Pre-trained Language Models to Detect In-Game Trash Talks
null
IJFMR Volume 6, Issue 2, March-April 2024
10.36948/ijfmr.2024.v06i02.14927
null
cs.CL cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
Common problems in playing online mobile and computer games were related to toxic behavior and abusive communication among players. Based on different reports and studies, the study also discusses the impact of online hate speech and toxicity on players' in-game performance and overall well-being. This study investig...
[ { "created": "Tue, 19 Mar 2024 11:36:53 GMT", "version": "v1" } ]
2024-03-28
[ [ "Fesalbon", "Daniel", "" ], [ "De La Cruz", "Arvin", "" ], [ "Mallari", "Marvin", "" ], [ "Rodelas", "Nelson", "" ] ]
Common problems in playing online mobile and computer games were related to toxic behavior and abusive communication among players. Based on different reports and studies, the study also discusses the impact of online hate speech and toxicity on players' in-game performance and overall well-being. This study investigat...
2303.08225
Hao Tang
Hao Tang, Zhenyu Zhang, Humphrey Shi, Bo Li, Ling Shao, Nicu Sebe, Radu Timofte, Luc Van Gool
Graph Transformer GANs for Graph-Constrained House Generation
CVPR 2023
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a novel graph Transformer generative adversarial network (GTGAN) to learn effective graph node relations in an end-to-end fashion for the challenging graph-constrained house generation task. The proposed graph-Transformer-based generator includes a novel graph Transformer encoder that combines graph convol...
[ { "created": "Tue, 14 Mar 2023 20:35:45 GMT", "version": "v1" } ]
2023-03-16
[ [ "Tang", "Hao", "" ], [ "Zhang", "Zhenyu", "" ], [ "Shi", "Humphrey", "" ], [ "Li", "Bo", "" ], [ "Shao", "Ling", "" ], [ "Sebe", "Nicu", "" ], [ "Timofte", "Radu", "" ], [ "Van Gool", "Luc", ...
We present a novel graph Transformer generative adversarial network (GTGAN) to learn effective graph node relations in an end-to-end fashion for the challenging graph-constrained house generation task. The proposed graph-Transformer-based generator includes a novel graph Transformer encoder that combines graph convolut...
2110.03246
Jannik Vierling
Stefan Hetzl, Jannik Vierling
Unprovability results for clause set cycles
Revised version
null
null
null
cs.LO
http://creativecommons.org/licenses/by/4.0/
The notion of clause set cycle abstracts a family of methods for automated inductive theorem proving based on the detection of cyclic dependencies between clause sets. By discerning the underlying logical features of clause set cycles, we are able to characterize clause set cycles by a logical theory. We make use of ...
[ { "created": "Thu, 7 Oct 2021 08:00:11 GMT", "version": "v1" }, { "created": "Thu, 4 Aug 2022 15:12:47 GMT", "version": "v2" } ]
2022-08-05
[ [ "Hetzl", "Stefan", "" ], [ "Vierling", "Jannik", "" ] ]
The notion of clause set cycle abstracts a family of methods for automated inductive theorem proving based on the detection of cyclic dependencies between clause sets. By discerning the underlying logical features of clause set cycles, we are able to characterize clause set cycles by a logical theory. We make use of th...
0808.0247
Danilo Gligoroski
Danilo Gligoroski and Smile Markovski and Svein Johan Knapskog
A Public Key Block Cipher Based on Multivariate Quadratic Quasigroups
This is an extended and updated version of a paper "Multivariate Quadratic Trapdoor Functions Based on Multivariate Quadratic Quasigroups", Proceedings of the American Conference On Applied Mathematics (MATH '08), Cambridge, Massachusetts, USA, March 24-26, 2008
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We have designed a new class of public key algorithms based on quasigroup string transformations using a specific class of quasigroups called multivariate quadratic quasigroups (MQQ). Our public key algorithm is a bijective mapping, it does not perform message expansions and can be used both for encryption and signat...
[ { "created": "Sat, 2 Aug 2008 09:48:16 GMT", "version": "v1" } ]
2008-08-05
[ [ "Gligoroski", "Danilo", "" ], [ "Markovski", "Smile", "" ], [ "Knapskog", "Svein Johan", "" ] ]
We have designed a new class of public key algorithms based on quasigroup string transformations using a specific class of quasigroups called multivariate quadratic quasigroups (MQQ). Our public key algorithm is a bijective mapping, it does not perform message expansions and can be used both for encryption and signatur...
2305.14936
Ivan Habernal
Cleo Matzken, Steffen Eger, Ivan Habernal
Trade-Offs Between Fairness and Privacy in Language Modeling
Findings of ACL 2023
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Protecting privacy in contemporary NLP models is gaining in importance. So does the need to mitigate social biases of such models. But can we have both at the same time? Existing research suggests that privacy preservation comes at the price of worsening biases in classification tasks. In this paper, we explore the e...
[ { "created": "Wed, 24 May 2023 09:18:28 GMT", "version": "v1" } ]
2023-05-25
[ [ "Matzken", "Cleo", "" ], [ "Eger", "Steffen", "" ], [ "Habernal", "Ivan", "" ] ]
Protecting privacy in contemporary NLP models is gaining in importance. So does the need to mitigate social biases of such models. But can we have both at the same time? Existing research suggests that privacy preservation comes at the price of worsening biases in classification tasks. In this paper, we explore the ext...
2403.10698
Minh-Hao Van
Minh-Hao Van, Alycia N. Carey, Xintao Wu
Robust Influence-based Training Methods for Noisy Brain MRI
null
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by/4.0/
Correctly classifying brain tumors is imperative to the prompt and accurate treatment of a patient. While several classification algorithms based on classical image processing or deep learning methods have been proposed to rapidly classify tumors in MR images, most assume the unrealistic setting of noise-free trainin...
[ { "created": "Fri, 15 Mar 2024 21:30:25 GMT", "version": "v1" }, { "created": "Thu, 9 May 2024 22:38:25 GMT", "version": "v2" } ]
2024-05-13
[ [ "Van", "Minh-Hao", "" ], [ "Carey", "Alycia N.", "" ], [ "Wu", "Xintao", "" ] ]
Correctly classifying brain tumors is imperative to the prompt and accurate treatment of a patient. While several classification algorithms based on classical image processing or deep learning methods have been proposed to rapidly classify tumors in MR images, most assume the unrealistic setting of noise-free training ...
2002.06765
Teppei Suzuki
Teppei Suzuki
Superpixel Segmentation via Convolutional Neural Networks with Regularized Information Maximization
To appear in ICASSP 2020
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose an unsupervised superpixel segmentation method by optimizing a randomly-initialized convolutional neural network (CNN) in inference time. Our method generates superpixels via CNN from a single image without any labels by minimizing a proposed objective function for superpixel segmentation in inference time...
[ { "created": "Mon, 17 Feb 2020 04:32:03 GMT", "version": "v1" }, { "created": "Thu, 9 Apr 2020 02:12:09 GMT", "version": "v2" }, { "created": "Fri, 26 Jun 2020 14:02:13 GMT", "version": "v3" } ]
2020-06-29
[ [ "Suzuki", "Teppei", "" ] ]
We propose an unsupervised superpixel segmentation method by optimizing a randomly-initialized convolutional neural network (CNN) in inference time. Our method generates superpixels via CNN from a single image without any labels by minimizing a proposed objective function for superpixel segmentation in inference time. ...
1603.08853
Jeffrey Liu
Jeffrey Liu, Saurabh Amin, Galina Schwartz
Effects of Information Heterogeneity in Bayesian Routing Games
null
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This article studies the value of information in route choice decisions when a fraction of players have access to high accuracy information about traffic incidents relative to others. To model such environments, we introduce a Bayesian congestion game, in which players have private information about incidents, and ea...
[ { "created": "Tue, 29 Mar 2016 17:22:31 GMT", "version": "v1" } ]
2016-03-30
[ [ "Liu", "Jeffrey", "" ], [ "Amin", "Saurabh", "" ], [ "Schwartz", "Galina", "" ] ]
This article studies the value of information in route choice decisions when a fraction of players have access to high accuracy information about traffic incidents relative to others. To model such environments, we introduce a Bayesian congestion game, in which players have private information about incidents, and each...
2306.09048
Shubhada Agrawal
Shubhada Agrawal, Sandeep Juneja, Karthikeyan Shanmugam, Arun Sai Suggala
Optimal Best-Arm Identification in Bandits with Access to Offline Data
45 pages, 5 figures
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Learning paradigms based purely on offline data as well as those based solely on sequential online learning have been well-studied in the literature. In this paper, we consider combining offline data with online learning, an area less studied but of obvious practical importance. We consider the stochastic $K$-armed b...
[ { "created": "Thu, 15 Jun 2023 11:12:35 GMT", "version": "v1" } ]
2023-06-16
[ [ "Agrawal", "Shubhada", "" ], [ "Juneja", "Sandeep", "" ], [ "Shanmugam", "Karthikeyan", "" ], [ "Suggala", "Arun Sai", "" ] ]
Learning paradigms based purely on offline data as well as those based solely on sequential online learning have been well-studied in the literature. In this paper, we consider combining offline data with online learning, an area less studied but of obvious practical importance. We consider the stochastic $K$-armed ban...
1212.2865
Martin Kasparick
Gerhard Wunder, Robert F. H. Fischer, Holger Boche, Simon Litsyn, Jong-Seon No
The PAPR Problem in OFDM Transmission: New Directions for a Long-Lasting Problem
Accepted for publication in IEEE Signal Processing Magazine
null
10.1109/MSP.2012.2218138
null
cs.IT math.IT math.MG math.PR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Peak power control for multicarrier communications has been a long-lasting problem in signal processing and communications. However, industry and academia are confronted with new challenges regarding energy efficient system design. Particularly, the envisioned boost in network energy efficiency (e.g. at least by a fa...
[ { "created": "Wed, 12 Dec 2012 16:25:56 GMT", "version": "v1" }, { "created": "Tue, 18 Dec 2012 16:48:50 GMT", "version": "v2" } ]
2016-11-18
[ [ "Wunder", "Gerhard", "" ], [ "Fischer", "Robert F. H.", "" ], [ "Boche", "Holger", "" ], [ "Litsyn", "Simon", "" ], [ "No", "Jong-Seon", "" ] ]
Peak power control for multicarrier communications has been a long-lasting problem in signal processing and communications. However, industry and academia are confronted with new challenges regarding energy efficient system design. Particularly, the envisioned boost in network energy efficiency (e.g. at least by a fact...
2108.09108
Hyeongseok Son
Hyeongseok Son, Junyong Lee, Sunghyun Cho, Seungyong Lee
Single Image Defocus Deblurring Using Kernel-Sharing Parallel Atrous Convolutions
Accepted to ICCV 2021
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper proposes a novel deep learning approach for single image defocus deblurring based on inverse kernels. In a defocused image, the blur shapes are similar among pixels although the blur sizes can spatially vary. To utilize the property with inverse kernels, we exploit the observation that when only the size o...
[ { "created": "Fri, 20 Aug 2021 11:06:19 GMT", "version": "v1" } ]
2021-08-23
[ [ "Son", "Hyeongseok", "" ], [ "Lee", "Junyong", "" ], [ "Cho", "Sunghyun", "" ], [ "Lee", "Seungyong", "" ] ]
This paper proposes a novel deep learning approach for single image defocus deblurring based on inverse kernels. In a defocused image, the blur shapes are similar among pixels although the blur sizes can spatially vary. To utilize the property with inverse kernels, we exploit the observation that when only the size of ...
1208.2261
Sudarshan Nandy
Sudarshan Nandy, Partha Pratim Sarkar and Achintya Das
Analysis of Statistical Hypothesis based Learning Mechanism for Faster Crawling
14 Pages, 7 Figures This paper has been withdrawn by the author due to a crucial sign error in page no. 3,4,7 and 11. The error is also observed with equation no in page 10
International Journal of Artificial Intelligence & Applications (IJAIA), Vol.3, No.4, July 2012, 117-130
10.5121/ijaia.2012.3409
null
cs.IR cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The growth of world-wide-web (WWW) spreads its wings from an intangible quantities of web-pages to a gigantic hub of web information which gradually increases the complexity of crawling process in a search engine. A search engine handles a lot of queries from various parts of this world, and the answers of it solely ...
[ { "created": "Fri, 10 Aug 2012 19:43:43 GMT", "version": "v1" }, { "created": "Mon, 13 Aug 2012 05:40:17 GMT", "version": "v2" } ]
2012-08-14
[ [ "Nandy", "Sudarshan", "" ], [ "Sarkar", "Partha Pratim", "" ], [ "Das", "Achintya", "" ] ]
The growth of world-wide-web (WWW) spreads its wings from an intangible quantities of web-pages to a gigantic hub of web information which gradually increases the complexity of crawling process in a search engine. A search engine handles a lot of queries from various parts of this world, and the answers of it solely de...
2208.04125
Haoye Tian
Haoye Tian, Xunzhu Tang, Andrew Habib, Shangwen Wang, Kui Liu, Xin Xia, Jacques Klein, Tegawend\'e F. Bissyand\'e
Is this Change the Answer to that Problem? Correlating Descriptions of Bug and Code Changes for Evaluating Patch Correctness
null
null
10.1145/3551349.3556914
null
cs.SE cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work, we propose a novel perspective to the problem of patch correctness assessment: a correct patch implements changes that "answer" to a problem posed by buggy behaviour. Concretely, we turn the patch correctness assessment into a Question Answering problem. To tackle this problem, our intuition is that nat...
[ { "created": "Mon, 8 Aug 2022 13:32:58 GMT", "version": "v1" }, { "created": "Thu, 1 Sep 2022 08:37:38 GMT", "version": "v2" } ]
2022-09-02
[ [ "Tian", "Haoye", "" ], [ "Tang", "Xunzhu", "" ], [ "Habib", "Andrew", "" ], [ "Wang", "Shangwen", "" ], [ "Liu", "Kui", "" ], [ "Xia", "Xin", "" ], [ "Klein", "Jacques", "" ], [ "Bissyandé", "Te...
In this work, we propose a novel perspective to the problem of patch correctness assessment: a correct patch implements changes that "answer" to a problem posed by buggy behaviour. Concretely, we turn the patch correctness assessment into a Question Answering problem. To tackle this problem, our intuition is that natur...