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2006.04183
Murat Sensoy
Murat Sensoy, Lance Kaplan, Federico Cerutti, Maryam Saleki
Uncertainty-Aware Deep Classifiers using Generative Models
This is a post-referred version of a conference paper published in AAAI 2020
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep neural networks are often ignorant about what they do not know and overconfident when they make uninformed predictions. Some recent approaches quantify classification uncertainty directly by training the model to output high uncertainty for the data samples close to class boundaries or from the outside of the tr...
[ { "created": "Sun, 7 Jun 2020 15:38:35 GMT", "version": "v1" } ]
2020-06-09
[ [ "Sensoy", "Murat", "" ], [ "Kaplan", "Lance", "" ], [ "Cerutti", "Federico", "" ], [ "Saleki", "Maryam", "" ] ]
Deep neural networks are often ignorant about what they do not know and overconfident when they make uninformed predictions. Some recent approaches quantify classification uncertainty directly by training the model to output high uncertainty for the data samples close to class boundaries or from the outside of the trai...
2212.05611
Mustafa Taha Ko\c{c}yi\u{g}it
Mustafa Taha Ko\c{c}yi\u{g}it, Timothy M. Hospedales, Hakan Bilen
Accelerating Self-Supervised Learning via Efficient Training Strategies
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Recently the focus of the computer vision community has shifted from expensive supervised learning towards self-supervised learning of visual representations. While the performance gap between supervised and self-supervised has been narrowing, the time for training self-supervised deep networks remains an order of ma...
[ { "created": "Sun, 11 Dec 2022 21:49:39 GMT", "version": "v1" } ]
2022-12-13
[ [ "Koçyiğit", "Mustafa Taha", "" ], [ "Hospedales", "Timothy M.", "" ], [ "Bilen", "Hakan", "" ] ]
Recently the focus of the computer vision community has shifted from expensive supervised learning towards self-supervised learning of visual representations. While the performance gap between supervised and self-supervised has been narrowing, the time for training self-supervised deep networks remains an order of magn...
2403.13793
Matthew Rahtz
Mary Phuong, Matthew Aitchison, Elliot Catt, Sarah Cogan, Alexandre Kaskasoli, Victoria Krakovna, David Lindner, Matthew Rahtz, Yannis Assael, Sarah Hodkinson, Heidi Howard, Tom Lieberum, Ramana Kumar, Maria Abi Raad, Albert Webson, Lewis Ho, Sharon Lin, Sebastian Farquhar, Marcus Hutter, Gregoire Deletang, Ani...
Evaluating Frontier Models for Dangerous Capabilities
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
To understand the risks posed by a new AI system, we must understand what it can and cannot do. Building on prior work, we introduce a programme of new "dangerous capability" evaluations and pilot them on Gemini 1.0 models. Our evaluations cover four areas: (1) persuasion and deception; (2) cyber-security; (3) self-p...
[ { "created": "Wed, 20 Mar 2024 17:54:26 GMT", "version": "v1" }, { "created": "Fri, 5 Apr 2024 12:26:11 GMT", "version": "v2" } ]
2024-04-08
[ [ "Phuong", "Mary", "" ], [ "Aitchison", "Matthew", "" ], [ "Catt", "Elliot", "" ], [ "Cogan", "Sarah", "" ], [ "Kaskasoli", "Alexandre", "" ], [ "Krakovna", "Victoria", "" ], [ "Lindner", "David", "" ], ...
To understand the risks posed by a new AI system, we must understand what it can and cannot do. Building on prior work, we introduce a programme of new "dangerous capability" evaluations and pilot them on Gemini 1.0 models. Our evaluations cover four areas: (1) persuasion and deception; (2) cyber-security; (3) self-pro...
1504.05498
Marc Torrellas
Marc Torrellas, Adrian Agustin and Josep Vidal
DoF-Delay Trade-Off for the $K$-user MIMO Interference Channel With Delayed CSIT
31 pages, 10 figures, 3 tables, submitted to the IEEE Transactions on Information Theory
null
10.1109/TIT.2016.2616348
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The degrees of freedom (DoF) of the $K$-user multiple-input multiple-output (MIMO) interference channel are studied when perfect, but delayed channel state information is available at the transmitter side (delayed CSIT). Recent works have proposed schemes that achieve increasing DoF values, but at the cost of long co...
[ { "created": "Tue, 21 Apr 2015 16:14:23 GMT", "version": "v1" }, { "created": "Wed, 17 Jun 2015 19:51:55 GMT", "version": "v2" } ]
2016-11-18
[ [ "Torrellas", "Marc", "" ], [ "Agustin", "Adrian", "" ], [ "Vidal", "Josep", "" ] ]
The degrees of freedom (DoF) of the $K$-user multiple-input multiple-output (MIMO) interference channel are studied when perfect, but delayed channel state information is available at the transmitter side (delayed CSIT). Recent works have proposed schemes that achieve increasing DoF values, but at the cost of long comm...
2210.00094
Amin Ghiasi
Amin Ghiasi, Ali Shafahi, Reza Ardekani
Improving Robustness with Adaptive Weight Decay
null
null
null
null
cs.LG cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose adaptive weight decay, which automatically tunes the hyper-parameter for weight decay during each training iteration. For classification problems, we propose changing the value of the weight decay hyper-parameter on the fly based on the strength of updates from the classification loss (i.e., gradient of cr...
[ { "created": "Fri, 30 Sep 2022 21:13:00 GMT", "version": "v1" }, { "created": "Sat, 2 Dec 2023 01:27:27 GMT", "version": "v2" } ]
2023-12-05
[ [ "Ghiasi", "Amin", "" ], [ "Shafahi", "Ali", "" ], [ "Ardekani", "Reza", "" ] ]
We propose adaptive weight decay, which automatically tunes the hyper-parameter for weight decay during each training iteration. For classification problems, we propose changing the value of the weight decay hyper-parameter on the fly based on the strength of updates from the classification loss (i.e., gradient of cros...
cs/0205028
Steven Bird
Edward Loper and Steven Bird
NLTK: The Natural Language Toolkit
8 pages, 1 figure, Proceedings of the ACL Workshop on Effective Tools and Methodologies for Teaching Natural Language Processing and Computational Linguistics, Philadelphia, July 2002, Association for Computational Linguistics
null
null
null
cs.CL
null
NLTK, the Natural Language Toolkit, is a suite of open source program modules, tutorials and problem sets, providing ready-to-use computational linguistics courseware. NLTK covers symbolic and statistical natural language processing, and is interfaced to annotated corpora. Students augment and replace existing compon...
[ { "created": "Fri, 17 May 2002 12:51:00 GMT", "version": "v1" } ]
2007-05-23
[ [ "Loper", "Edward", "" ], [ "Bird", "Steven", "" ] ]
NLTK, the Natural Language Toolkit, is a suite of open source program modules, tutorials and problem sets, providing ready-to-use computational linguistics courseware. NLTK covers symbolic and statistical natural language processing, and is interfaced to annotated corpora. Students augment and replace existing componen...
2008.03553
Morteza Babaie
Aditya Sriram, Shivam Kalra, Morteza Babaie, Brady Kieffer, Waddah Al Drobi, Shahryar Rahnamayan, Hany Kashani, Hamid R. Tizhoosh
Forming Local Intersections of Projections for Classifying and Searching Histopathology Images
To appear in International Conference on AI in Medicine (AIME 2020)
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose a novel image descriptor called Forming Local Intersections of Projections (FLIP) and its multi-resolution version (mFLIP) for representing histopathology images. The descriptor is based on the Radon transform wherein we apply parallel projections in small local neighborhoods of gray-level i...
[ { "created": "Sat, 8 Aug 2020 16:32:04 GMT", "version": "v1" } ]
2020-08-11
[ [ "Sriram", "Aditya", "" ], [ "Kalra", "Shivam", "" ], [ "Babaie", "Morteza", "" ], [ "Kieffer", "Brady", "" ], [ "Drobi", "Waddah Al", "" ], [ "Rahnamayan", "Shahryar", "" ], [ "Kashani", "Hany", "" ], [...
In this paper, we propose a novel image descriptor called Forming Local Intersections of Projections (FLIP) and its multi-resolution version (mFLIP) for representing histopathology images. The descriptor is based on the Radon transform wherein we apply parallel projections in small local neighborhoods of gray-level ima...
1704.04394
Namhoon Lee
Namhoon Lee, Wongun Choi, Paul Vernaza, Christopher B. Choy, Philip H. S. Torr and Manmohan Chandraker
DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents
Accepted at CVPR 2017
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce a Deep Stochastic IOC RNN Encoderdecoder framework, DESIRE, for the task of future predictions of multiple interacting agents in dynamic scenes. DESIRE effectively predicts future locations of objects in multiple scenes by 1) accounting for the multi-modal nature of the future prediction (i.e., given the...
[ { "created": "Fri, 14 Apr 2017 11:15:44 GMT", "version": "v1" } ]
2017-04-17
[ [ "Lee", "Namhoon", "" ], [ "Choi", "Wongun", "" ], [ "Vernaza", "Paul", "" ], [ "Choy", "Christopher B.", "" ], [ "Torr", "Philip H. S.", "" ], [ "Chandraker", "Manmohan", "" ] ]
We introduce a Deep Stochastic IOC RNN Encoderdecoder framework, DESIRE, for the task of future predictions of multiple interacting agents in dynamic scenes. DESIRE effectively predicts future locations of objects in multiple scenes by 1) accounting for the multi-modal nature of the future prediction (i.e., given the s...
2011.11636
Chun Yui Wong
Chun Yui Wong, Pranay Seshadri, Ashley Scillitoe, Andrew B. Duncan, Geoffrey Parks
Blade Envelopes Part I: Concept and Methodology
null
null
null
null
cs.CE stat.AP
http://creativecommons.org/licenses/by-nc-nd/4.0/
Blades manufactured through flank and point milling will likely exhibit geometric variability. Gauging the aerodynamic repercussions of such variability, prior to manufacturing a component, is challenging enough, let alone trying to predict what the amplified impact of any in-service degradation will be. While rules ...
[ { "created": "Sun, 22 Nov 2020 11:34:59 GMT", "version": "v1" }, { "created": "Mon, 21 Dec 2020 17:21:51 GMT", "version": "v2" }, { "created": "Fri, 25 Dec 2020 14:39:52 GMT", "version": "v3" }, { "created": "Tue, 5 Jan 2021 15:03:16 GMT", "version": "v4" }, { "cr...
2022-01-03
[ [ "Wong", "Chun Yui", "" ], [ "Seshadri", "Pranay", "" ], [ "Scillitoe", "Ashley", "" ], [ "Duncan", "Andrew B.", "" ], [ "Parks", "Geoffrey", "" ] ]
Blades manufactured through flank and point milling will likely exhibit geometric variability. Gauging the aerodynamic repercussions of such variability, prior to manufacturing a component, is challenging enough, let alone trying to predict what the amplified impact of any in-service degradation will be. While rules of...
2408.07137
Yutong Hu
Yutong Hu and Kangcheng Luo and Yansong Feng
ELLA: Empowering LLMs for Interpretable, Accurate and Informative Legal Advice
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Despite remarkable performance in legal consultation exhibited by legal Large Language Models(LLMs) combined with legal article retrieval components, there are still cases when the advice given is incorrect or baseless. To alleviate these problems, we propose {\bf ELLA}, a tool for {\bf E}mpowering {\bf L}LMs for int...
[ { "created": "Tue, 13 Aug 2024 18:12:00 GMT", "version": "v1" } ]
2024-08-15
[ [ "Hu", "Yutong", "" ], [ "Luo", "Kangcheng", "" ], [ "Feng", "Yansong", "" ] ]
Despite remarkable performance in legal consultation exhibited by legal Large Language Models(LLMs) combined with legal article retrieval components, there are still cases when the advice given is incorrect or baseless. To alleviate these problems, we propose {\bf ELLA}, a tool for {\bf E}mpowering {\bf L}LMs for inter...
2006.09184
Amir Ahmad
Amir Ahmada, Sunita Garhwal, Santosh Kumar Ray, Gagan Kumar, Sharaf J. Malebary, Omar Mohammed Omar Barukab
The Number of Confirmed Cases of Covid-19 by using Machine Learning: Methods and Challenges
null
null
null
null
cs.SI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Covid-19 is one of the biggest health challenges that the world has ever faced. Public health policy makers need the reliable prediction of the confirmed cases in future to plan medical facilities. Machine learning methods learn from the historical data and make a prediction about the event. Machine learning methods ...
[ { "created": "Thu, 11 Jun 2020 15:34:59 GMT", "version": "v1" } ]
2020-06-17
[ [ "Ahmada", "Amir", "" ], [ "Garhwal", "Sunita", "" ], [ "Ray", "Santosh Kumar", "" ], [ "Kumar", "Gagan", "" ], [ "Malebary", "Sharaf J.", "" ], [ "Barukab", "Omar Mohammed Omar", "" ] ]
Covid-19 is one of the biggest health challenges that the world has ever faced. Public health policy makers need the reliable prediction of the confirmed cases in future to plan medical facilities. Machine learning methods learn from the historical data and make a prediction about the event. Machine learning methods ha...
2202.00866
Qimeng Wang
Yan Gao and Qimeng Wang and Xu Tang and Haochen Wang and Fei Ding and Jing Li and Yao Hu
Decoupled IoU Regression for Object Detection
ACMMM 2021 Poster
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Non-maximum suppression (NMS) is widely used in object detection pipelines for removing duplicated bounding boxes. The inconsistency between the confidence for NMS and the real localization confidence seriously affects detection performance. Prior works propose to predict Intersection-over-Union (IoU) between boundin...
[ { "created": "Wed, 2 Feb 2022 04:01:11 GMT", "version": "v1" } ]
2022-02-03
[ [ "Gao", "Yan", "" ], [ "Wang", "Qimeng", "" ], [ "Tang", "Xu", "" ], [ "Wang", "Haochen", "" ], [ "Ding", "Fei", "" ], [ "Li", "Jing", "" ], [ "Hu", "Yao", "" ] ]
Non-maximum suppression (NMS) is widely used in object detection pipelines for removing duplicated bounding boxes. The inconsistency between the confidence for NMS and the real localization confidence seriously affects detection performance. Prior works propose to predict Intersection-over-Union (IoU) between bounding ...
2111.12056
Jinu Gong
Jinu Gong, Osvaldo Simeone, Rahif Kassab, and Joonhyuk Kang
Forget-SVGD: Particle-Based Bayesian Federated Unlearning
submitted for conference publication
null
null
null
cs.LG eess.SP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Variational particle-based Bayesian learning methods have the advantage of not being limited by the bias affecting more conventional parametric techniques. This paper proposes to leverage the flexibility of non-parametric Bayesian approximate inference to develop a novel Bayesian federated unlearning method, referred...
[ { "created": "Tue, 23 Nov 2021 18:15:50 GMT", "version": "v1" } ]
2021-11-24
[ [ "Gong", "Jinu", "" ], [ "Simeone", "Osvaldo", "" ], [ "Kassab", "Rahif", "" ], [ "Kang", "Joonhyuk", "" ] ]
Variational particle-based Bayesian learning methods have the advantage of not being limited by the bias affecting more conventional parametric techniques. This paper proposes to leverage the flexibility of non-parametric Bayesian approximate inference to develop a novel Bayesian federated unlearning method, referred t...
2010.11334
Chiyu Zhang
Muhammad Abdul-Mageed, Chiyu Zhang, Houda Bouamor and Nizar Habash
NADI 2020: The First Nuanced Arabic Dialect Identification Shared Task
Accepted in The Fifth Arabic Natural Language Processing Workshop (WANLP 2020)
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
We present the results and findings of the First Nuanced Arabic Dialect Identification Shared Task (NADI). This Shared Task includes two subtasks: country-level dialect identification (Subtask 1) and province-level sub-dialect identification (Subtask 2). The data for the shared task covers a total of 100 provinces fr...
[ { "created": "Wed, 21 Oct 2020 22:14:28 GMT", "version": "v1" }, { "created": "Sun, 1 Nov 2020 04:53:19 GMT", "version": "v2" }, { "created": "Mon, 9 Nov 2020 19:18:33 GMT", "version": "v3" } ]
2020-11-11
[ [ "Abdul-Mageed", "Muhammad", "" ], [ "Zhang", "Chiyu", "" ], [ "Bouamor", "Houda", "" ], [ "Habash", "Nizar", "" ] ]
We present the results and findings of the First Nuanced Arabic Dialect Identification Shared Task (NADI). This Shared Task includes two subtasks: country-level dialect identification (Subtask 1) and province-level sub-dialect identification (Subtask 2). The data for the shared task covers a total of 100 provinces from...
1912.01146
Basilis Mamalis
Basilis Mamalis
Prolonging Network Lifetime in Wireless Sensor Networks with Path-Constrained Mobile Sink
10 pages
International Journal of Advanced Computer Science and Applications, Vol. 5, No. 10, 2014
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Many studies in recent years have considered the use of mobile sinks (MS) for data gathering in wireless sensor networks (WSN), so as to reduce the need for data forwarding among the sensor nodes (SN) and thereby prolong the network lifetime. Moreover, in practice, often the MS tour length has to be kept below a thre...
[ { "created": "Tue, 3 Dec 2019 01:30:44 GMT", "version": "v1" } ]
2019-12-04
[ [ "Mamalis", "Basilis", "" ] ]
Many studies in recent years have considered the use of mobile sinks (MS) for data gathering in wireless sensor networks (WSN), so as to reduce the need for data forwarding among the sensor nodes (SN) and thereby prolong the network lifetime. Moreover, in practice, often the MS tour length has to be kept below a thresh...
2003.00406
Xiao Wang
Sulan Zhai, Shunqiang Liu, Xiao Wang, Jin Tang
FMT:Fusing Multi-task Convolutional Neural Network for Person Search
Published on Multimedia Tools and Applications
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Person search is to detect all persons and identify the query persons from detected persons in the image without proposals and bounding boxes, which is different from person re-identification. In this paper, we propose a fusing multi-task convolutional neural network(FMT-CNN) to tackle the correlation and heterogenei...
[ { "created": "Sun, 1 Mar 2020 05:20:47 GMT", "version": "v1" } ]
2020-03-03
[ [ "Zhai", "Sulan", "" ], [ "Liu", "Shunqiang", "" ], [ "Wang", "Xiao", "" ], [ "Tang", "Jin", "" ] ]
Person search is to detect all persons and identify the query persons from detected persons in the image without proposals and bounding boxes, which is different from person re-identification. In this paper, we propose a fusing multi-task convolutional neural network(FMT-CNN) to tackle the correlation and heterogeneity...
2012.05054
Huansheng Ning Prof
Huansheng Ning and Feifei Shi
Could robots be regarded as humans in future?
4 pages, 1 table
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the overwhelming advances in Artificial Intelligence (AI), brain science and neuroscience, robots are developing towards a direction of much more human-like and human-friendly. We can't help but wonder whether robots could be regarded as humans in future? In this article, we propose a novel perspective to analyz...
[ { "created": "Tue, 1 Dec 2020 13:04:08 GMT", "version": "v1" } ]
2020-12-10
[ [ "Ning", "Huansheng", "" ], [ "Shi", "Feifei", "" ] ]
With the overwhelming advances in Artificial Intelligence (AI), brain science and neuroscience, robots are developing towards a direction of much more human-like and human-friendly. We can't help but wonder whether robots could be regarded as humans in future? In this article, we propose a novel perspective to analyze ...
1210.2195
J\"org P\"uhrer
Marina De Vos, Do\u{g}a Gizem K{\i}za, Johannes Oetsch, J\"org P\"uhrer, Hans Tompits
Annotating Answer-Set Programs in LANA?
null
null
null
null
cs.SE cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
While past research in answer-set programming (ASP) mainly focused on theory, ASP solver technology, and applications, the present work situates itself in the context of a quite recent research trend: development support for ASP. In particular, we propose to augment answer-set programs with additional meta-informatio...
[ { "created": "Mon, 8 Oct 2012 09:26:15 GMT", "version": "v1" } ]
2012-10-09
[ [ "De Vos", "Marina", "" ], [ "Kıza", "Doğa Gizem", "" ], [ "Oetsch", "Johannes", "" ], [ "Pührer", "Jörg", "" ], [ "Tompits", "Hans", "" ] ]
While past research in answer-set programming (ASP) mainly focused on theory, ASP solver technology, and applications, the present work situates itself in the context of a quite recent research trend: development support for ASP. In particular, we propose to augment answer-set programs with additional meta-information ...
0909.5278
Yngve Villanger
Fedor V. Fomin and Yngve Villanger
Finding Induced Subgraphs via Minimal Triangulations
14 pages
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Potential maximal cliques and minimal separators are combinatorial objects which were introduced and studied in the realm of minimal triangulations problems including Minimum Fill-in and Treewidth. We discover unexpected applications of these notions to the field of moderate exponential algorithms. In particular, we ...
[ { "created": "Tue, 29 Sep 2009 07:13:39 GMT", "version": "v1" }, { "created": "Tue, 22 Dec 2009 09:55:02 GMT", "version": "v2" } ]
2009-12-22
[ [ "Fomin", "Fedor V.", "" ], [ "Villanger", "Yngve", "" ] ]
Potential maximal cliques and minimal separators are combinatorial objects which were introduced and studied in the realm of minimal triangulations problems including Minimum Fill-in and Treewidth. We discover unexpected applications of these notions to the field of moderate exponential algorithms. In particular, we sh...
2305.16532
Amir Samad
Amir Samadi, Konstantinos Koufos, Kurt Debattista and Mehrdad Dianati
Counterfactual Explainer Framework for Deep Reinforcement Learning Models Using Policy Distillation
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Deep Reinforcement Learning (DRL) has demonstrated promising capability in solving complex control problems. However, DRL applications in safety-critical systems are hindered by the inherent lack of robust verification techniques to assure their performance in such applications. One of the key requirements of the ver...
[ { "created": "Thu, 25 May 2023 23:30:48 GMT", "version": "v1" }, { "created": "Thu, 1 Jun 2023 12:20:53 GMT", "version": "v2" }, { "created": "Sat, 7 Oct 2023 11:34:25 GMT", "version": "v3" } ]
2023-10-10
[ [ "Samadi", "Amir", "" ], [ "Koufos", "Konstantinos", "" ], [ "Debattista", "Kurt", "" ], [ "Dianati", "Mehrdad", "" ] ]
Deep Reinforcement Learning (DRL) has demonstrated promising capability in solving complex control problems. However, DRL applications in safety-critical systems are hindered by the inherent lack of robust verification techniques to assure their performance in such applications. One of the key requirements of the verif...
2004.14571
Sadasivam Aadhavan
Aadhavan Sadasivam, Kausic Gunasekar, Hasan Davulcu, Yezhou Yang
memeBot: Towards Automatic Image Meme Generation
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Image memes have become a widespread tool used by people for interacting and exchanging ideas over social media, blogs, and open messengers. This work proposes to treat automatic image meme generation as a translation process, and further present an end to end neural and probabilistic approach to generate an image-ba...
[ { "created": "Thu, 30 Apr 2020 03:48:14 GMT", "version": "v1" } ]
2020-05-01
[ [ "Sadasivam", "Aadhavan", "" ], [ "Gunasekar", "Kausic", "" ], [ "Davulcu", "Hasan", "" ], [ "Yang", "Yezhou", "" ] ]
Image memes have become a widespread tool used by people for interacting and exchanging ideas over social media, blogs, and open messengers. This work proposes to treat automatic image meme generation as a translation process, and further present an end to end neural and probabilistic approach to generate an image-base...
2311.01599
Bogdan Chornomaz
Zachary Chase, Bogdan Chornomaz, Shay Moran, Amir Yehudayoff
Local Borsuk-Ulam, Stability, and Replicability
null
null
null
null
cs.LG cs.DS
http://creativecommons.org/licenses/by/4.0/
We use and adapt the Borsuk-Ulam Theorem from topology to derive limitations on list-replicable and globally stable learning algorithms. We further demonstrate the applicability of our methods in combinatorics and topology. We show that, besides trivial cases, both list-replicable and globally stable learning are i...
[ { "created": "Thu, 2 Nov 2023 21:10:16 GMT", "version": "v1" } ]
2023-11-06
[ [ "Chase", "Zachary", "" ], [ "Chornomaz", "Bogdan", "" ], [ "Moran", "Shay", "" ], [ "Yehudayoff", "Amir", "" ] ]
We use and adapt the Borsuk-Ulam Theorem from topology to derive limitations on list-replicable and globally stable learning algorithms. We further demonstrate the applicability of our methods in combinatorics and topology. We show that, besides trivial cases, both list-replicable and globally stable learning are impos...
2006.03722
Michael Fauss
Michael Fau{\ss}, Alex Dysto, H. Vincent Poor
MMSE Bounds Under Kullback-Leibler Divergence Constraints on the Joint Input-Output Distribution
Submitted for publication in the IEEE Transactions on Signal Processing
null
null
null
cs.IT math.IT stat.OT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper proposes a new family of lower and upper bounds on the minimum mean squared error (MMSE). The key idea is to minimize/maximize the MMSE subject to the constraint that the joint distribution of the input-output statistics lies in a Kullback-Leibler divergence ball centered at some Gaussian reference distrib...
[ { "created": "Fri, 5 Jun 2020 22:30:59 GMT", "version": "v1" } ]
2020-06-09
[ [ "Fauß", "Michael", "" ], [ "Dysto", "Alex", "" ], [ "Poor", "H. Vincent", "" ] ]
This paper proposes a new family of lower and upper bounds on the minimum mean squared error (MMSE). The key idea is to minimize/maximize the MMSE subject to the constraint that the joint distribution of the input-output statistics lies in a Kullback-Leibler divergence ball centered at some Gaussian reference distribut...
1712.03866
Iason Oikonomidis
Paschalis Panteleris, Iason Oikonomidis, Antonis Argyros
Using a single RGB frame for real time 3D hand pose estimation in the wild
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a method for the real-time estimation of the full 3D pose of one or more human hands using a single commodity RGB camera. Recent work in the area has displayed impressive progress using RGBD input. However, since the introduction of RGBD sensors, there has been little progress for the case of monocular col...
[ { "created": "Mon, 11 Dec 2017 16:16:05 GMT", "version": "v1" } ]
2017-12-12
[ [ "Panteleris", "Paschalis", "" ], [ "Oikonomidis", "Iason", "" ], [ "Argyros", "Antonis", "" ] ]
We present a method for the real-time estimation of the full 3D pose of one or more human hands using a single commodity RGB camera. Recent work in the area has displayed impressive progress using RGBD input. However, since the introduction of RGBD sensors, there has been little progress for the case of monocular color...
1911.11018
Xiaowei Gu
Xiaowei Gu, Plamen P Angelov and Eduardo Almeida Soares
A Self-Adaptive Synthetic Over-Sampling Technique for Imbalanced Classification
This paper has been submitted to International Journal of Intelligent Systems for publication
null
10.1002/int.22230
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Traditionally, in supervised machine learning, (a significant) part of the available data (usually 50% to 80%) is used for training and the rest for validation. In many problems, however, the data is highly imbalanced in regard to different classes or does not have good coverage of the feasible data space which, in t...
[ { "created": "Mon, 25 Nov 2019 16:08:32 GMT", "version": "v1" } ]
2020-04-21
[ [ "Gu", "Xiaowei", "" ], [ "Angelov", "Plamen P", "" ], [ "Soares", "Eduardo Almeida", "" ] ]
Traditionally, in supervised machine learning, (a significant) part of the available data (usually 50% to 80%) is used for training and the rest for validation. In many problems, however, the data is highly imbalanced in regard to different classes or does not have good coverage of the feasible data space which, in tur...
2206.14666
Anthony Coache
Anthony Coache, Sebastian Jaimungal, \'Alvaro Cartea
Conditionally Elicitable Dynamic Risk Measures for Deep Reinforcement Learning
41 pages, 7 figures
null
null
null
cs.LG q-fin.CP q-fin.PM q-fin.RM q-fin.TR
http://creativecommons.org/licenses/by-sa/4.0/
We propose a novel framework to solve risk-sensitive reinforcement learning (RL) problems where the agent optimises time-consistent dynamic spectral risk measures. Based on the notion of conditional elicitability, our methodology constructs (strictly consistent) scoring functions that are used as penalizers in the es...
[ { "created": "Wed, 29 Jun 2022 14:11:15 GMT", "version": "v1" }, { "created": "Wed, 5 Oct 2022 18:31:01 GMT", "version": "v2" }, { "created": "Mon, 1 May 2023 15:16:41 GMT", "version": "v3" } ]
2023-05-02
[ [ "Coache", "Anthony", "" ], [ "Jaimungal", "Sebastian", "" ], [ "Cartea", "Álvaro", "" ] ]
We propose a novel framework to solve risk-sensitive reinforcement learning (RL) problems where the agent optimises time-consistent dynamic spectral risk measures. Based on the notion of conditional elicitability, our methodology constructs (strictly consistent) scoring functions that are used as penalizers in the esti...
2004.13138
Jinghui Lu
Jinghui Lu and Brian MacNamee
Investigating the Effectiveness of Representations Based on Pretrained Transformer-based Language Models in Active Learning for Labelling Text Datasets
arXiv admin note: substantial text overlap with arXiv:1910.03505
null
null
null
cs.IR cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Active learning has been shown to be an effective way to alleviate some of the effort required in utilising large collections of unlabelled data for machine learning tasks without needing to fully label them. The representation mechanism used to represent text documents when performing active learning, however, has a...
[ { "created": "Tue, 21 Apr 2020 02:37:44 GMT", "version": "v1" } ]
2020-04-29
[ [ "Lu", "Jinghui", "" ], [ "MacNamee", "Brian", "" ] ]
Active learning has been shown to be an effective way to alleviate some of the effort required in utilising large collections of unlabelled data for machine learning tasks without needing to fully label them. The representation mechanism used to represent text documents when performing active learning, however, has a s...
2405.20902
Rongwu Xu
Rongwu Xu, Zehan Qi, Wei Xu
Preemptive Answer "Attacks" on Chain-of-Thought Reasoning
Accepted to ACL'24 (Findings). Camera-ready version
null
null
null
cs.CL cs.AI cs.CR
http://creativecommons.org/licenses/by-nc-nd/4.0/
Large language models (LLMs) showcase impressive reasoning capabilities when coupled with Chain-of-Thought (CoT) prompting. However, the robustness of this approach warrants further investigation. In this paper, we introduce a novel scenario termed preemptive answers, where the LLM obtains an answer before engaging i...
[ { "created": "Fri, 31 May 2024 15:15:04 GMT", "version": "v1" } ]
2024-06-03
[ [ "Xu", "Rongwu", "" ], [ "Qi", "Zehan", "" ], [ "Xu", "Wei", "" ] ]
Large language models (LLMs) showcase impressive reasoning capabilities when coupled with Chain-of-Thought (CoT) prompting. However, the robustness of this approach warrants further investigation. In this paper, we introduce a novel scenario termed preemptive answers, where the LLM obtains an answer before engaging in ...
2103.02650
Kiant\'e Brantley
Kiant\'e Brantley, Soroush Mehri, Geoffrey J. Gordon
Successor Feature Sets: Generalizing Successor Representations Across Policies
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Successor-style representations have many advantages for reinforcement learning: for example, they can help an agent generalize from past experience to new goals, and they have been proposed as explanations of behavioral and neural data from human and animal learners. They also form a natural bridge between model-bas...
[ { "created": "Wed, 3 Mar 2021 19:36:44 GMT", "version": "v1" }, { "created": "Mon, 15 Mar 2021 22:09:04 GMT", "version": "v2" } ]
2021-03-17
[ [ "Brantley", "Kianté", "" ], [ "Mehri", "Soroush", "" ], [ "Gordon", "Geoffrey J.", "" ] ]
Successor-style representations have many advantages for reinforcement learning: for example, they can help an agent generalize from past experience to new goals, and they have been proposed as explanations of behavioral and neural data from human and animal learners. They also form a natural bridge between model-based...
2305.11854
Hiroki Furuta
Hiroki Furuta, Kuang-Huei Lee, Ofir Nachum, Yutaka Matsuo, Aleksandra Faust, Shixiang Shane Gu, Izzeddin Gur
Multimodal Web Navigation with Instruction-Finetuned Foundation Models
Accepted to ICLR 2024. Website: https://sites.google.com/view/mm-webnav/
null
null
null
cs.LG cs.AI stat.ML
http://creativecommons.org/licenses/by/4.0/
The progress of autonomous web navigation has been hindered by the dependence on billions of exploratory interactions via online reinforcement learning, and domain-specific model designs that make it difficult to leverage generalization from rich out-of-domain data. In this work, we study data-driven offline training...
[ { "created": "Fri, 19 May 2023 17:44:34 GMT", "version": "v1" }, { "created": "Sun, 1 Oct 2023 10:15:01 GMT", "version": "v2" }, { "created": "Mon, 19 Feb 2024 01:56:54 GMT", "version": "v3" }, { "created": "Sun, 25 Feb 2024 16:21:00 GMT", "version": "v4" } ]
2024-02-27
[ [ "Furuta", "Hiroki", "" ], [ "Lee", "Kuang-Huei", "" ], [ "Nachum", "Ofir", "" ], [ "Matsuo", "Yutaka", "" ], [ "Faust", "Aleksandra", "" ], [ "Gu", "Shixiang Shane", "" ], [ "Gur", "Izzeddin", "" ] ]
The progress of autonomous web navigation has been hindered by the dependence on billions of exploratory interactions via online reinforcement learning, and domain-specific model designs that make it difficult to leverage generalization from rich out-of-domain data. In this work, we study data-driven offline training f...
2403.12384
Yifan Liu
Yifan Liu, Kangning Zhang, Xiangyuan Ren, Yanhua Huang, Jiarui Jin, Yingjie Qin, Ruilong Su, Ruiwen Xu, Yong Yu, Weinan Zhang
AlignRec: Aligning and Training in Multimodal Recommendations
9 page paper, 2 page appendix. Accepted by CIKM24
null
null
null
cs.IR cs.LG
http://creativecommons.org/licenses/by-sa/4.0/
With the development of multimedia systems, multimodal recommendations are playing an essential role, as they can leverage rich contexts beyond interactions. Existing methods mainly regard multimodal information as an auxiliary, using them to help learn ID features; However, there exist semantic gaps among multimodal...
[ { "created": "Tue, 19 Mar 2024 02:49:32 GMT", "version": "v1" }, { "created": "Wed, 20 Mar 2024 02:50:36 GMT", "version": "v2" }, { "created": "Tue, 21 May 2024 11:51:03 GMT", "version": "v3" }, { "created": "Thu, 1 Aug 2024 03:32:49 GMT", "version": "v4" } ]
2024-08-02
[ [ "Liu", "Yifan", "" ], [ "Zhang", "Kangning", "" ], [ "Ren", "Xiangyuan", "" ], [ "Huang", "Yanhua", "" ], [ "Jin", "Jiarui", "" ], [ "Qin", "Yingjie", "" ], [ "Su", "Ruilong", "" ], [ "Xu", "Rui...
With the development of multimedia systems, multimodal recommendations are playing an essential role, as they can leverage rich contexts beyond interactions. Existing methods mainly regard multimodal information as an auxiliary, using them to help learn ID features; However, there exist semantic gaps among multimodal c...
2402.08249
Ying Jin
Ying Jin and Jiaqi Wang and Dahua Lin
SepRep-Net: Multi-source Free Domain Adaptation via Model Separation And Reparameterization
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
We consider multi-source free domain adaptation, the problem of adapting multiple existing models to a new domain without accessing the source data. Among existing approaches, methods based on model ensemble are effective in both the source and target domains, but incur significantly increased computational costs. To...
[ { "created": "Tue, 13 Feb 2024 06:35:00 GMT", "version": "v1" }, { "created": "Fri, 17 May 2024 08:24:44 GMT", "version": "v2" } ]
2024-05-20
[ [ "Jin", "Ying", "" ], [ "Wang", "Jiaqi", "" ], [ "Lin", "Dahua", "" ] ]
We consider multi-source free domain adaptation, the problem of adapting multiple existing models to a new domain without accessing the source data. Among existing approaches, methods based on model ensemble are effective in both the source and target domains, but incur significantly increased computational costs. Towa...
2201.11192
Gyri Reiersen
Gyri Reiersen, David Dao, Bj\"orn L\"utjens, Konstantin Klemmer, Kenza Amara, Attila Steinegger, Ce Zhang, Xiaoxiang Zhu
ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery
Accepted paper for the AI for Social Impact Track at the AAAI 2022
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Forest biomass is a key influence for future climate, and the world urgently needs highly scalable financing schemes, such as carbon offsetting certifications, to protect and restore forests. Current manual forest carbon stock inventory methods of measuring single trees by hand are time, labour, and cost-intensive an...
[ { "created": "Wed, 26 Jan 2022 21:27:57 GMT", "version": "v1" } ]
2022-01-28
[ [ "Reiersen", "Gyri", "" ], [ "Dao", "David", "" ], [ "Lütjens", "Björn", "" ], [ "Klemmer", "Konstantin", "" ], [ "Amara", "Kenza", "" ], [ "Steinegger", "Attila", "" ], [ "Zhang", "Ce", "" ], [ "Zhu...
Forest biomass is a key influence for future climate, and the world urgently needs highly scalable financing schemes, such as carbon offsetting certifications, to protect and restore forests. Current manual forest carbon stock inventory methods of measuring single trees by hand are time, labour, and cost-intensive and ...
2209.11324
Kostas Peppas P
Dimitrios G. Selimis, Mar Francis De Guzman, Fotis I. Lazarakis, Kyriakos N. Manganaris, Kostas P. Peppas and Katsuyuki Haneda
Path Loss, Angular Spread and Channel Sparsity Modeling for Indoor and Outdoor Environments at the sub-THz Band
null
null
null
null
cs.IT math.IT
http://creativecommons.org/publicdomain/zero/1.0/
In this paper, we present new measurement results to model large-scale path loss, angular spread and channel sparsity at the sub-THz (141-145 GHz) band, for both indoor and outdoor scenarios. Extensive measurement campaigns have been carried out, taking into account both line-of-sight (LoS) and non line-of-sight (NLo...
[ { "created": "Thu, 22 Sep 2022 21:32:51 GMT", "version": "v1" }, { "created": "Wed, 23 Nov 2022 17:21:45 GMT", "version": "v2" }, { "created": "Wed, 26 Apr 2023 09:33:24 GMT", "version": "v3" } ]
2023-04-27
[ [ "Selimis", "Dimitrios G.", "" ], [ "De Guzman", "Mar Francis", "" ], [ "Lazarakis", "Fotis I.", "" ], [ "Manganaris", "Kyriakos N.", "" ], [ "Peppas", "Kostas P.", "" ], [ "Haneda", "Katsuyuki", "" ] ]
In this paper, we present new measurement results to model large-scale path loss, angular spread and channel sparsity at the sub-THz (141-145 GHz) band, for both indoor and outdoor scenarios. Extensive measurement campaigns have been carried out, taking into account both line-of-sight (LoS) and non line-of-sight (NLoS)...
1802.08176
George K. Thiruvathukal
Ahmed S. Kaseb, Bo Fu, Anup Mohan, Yung-Hsiang Lu, Amy Reibman, George K. Thiruvathukal
Analyzing Real-Time Multimedia Content From Network Cameras Using CPUs and GPUs in the Cloud
Accepted at MIPR 2018
null
null
null
cs.DC
http://creativecommons.org/licenses/by-nc-sa/4.0/
Millions of network cameras are streaming real-time multimedia content (images or videos) for various environments (e.g., highways and malls) and can be used for a variety of applications. Analyzing the content from many network cameras requires significant amounts of computing resources. Cloud vendors offer resource...
[ { "created": "Wed, 21 Feb 2018 14:46:27 GMT", "version": "v1" }, { "created": "Wed, 21 Mar 2018 14:30:56 GMT", "version": "v2" } ]
2018-03-22
[ [ "Kaseb", "Ahmed S.", "" ], [ "Fu", "Bo", "" ], [ "Mohan", "Anup", "" ], [ "Lu", "Yung-Hsiang", "" ], [ "Reibman", "Amy", "" ], [ "Thiruvathukal", "George K.", "" ] ]
Millions of network cameras are streaming real-time multimedia content (images or videos) for various environments (e.g., highways and malls) and can be used for a variety of applications. Analyzing the content from many network cameras requires significant amounts of computing resources. Cloud vendors offer resources ...
2407.17786
Chi-Han Peng
Chia-Chia Chen and Chi-Han Peng
Topology-Preserving Downsampling of Binary Images
Accepted to The 18th European Conference on Computer Vision (ECCV) 2024
null
null
null
cs.CV cs.GR
http://creativecommons.org/licenses/by/4.0/
We present a novel discrete optimization-based approach to generate downsampled versions of binary images that are guaranteed to have the same topology as the original, measured by the zeroth and first Betti numbers of the black regions, while having good similarity to the original image as measured by IoU and Dice s...
[ { "created": "Thu, 25 Jul 2024 05:30:09 GMT", "version": "v1" } ]
2024-07-26
[ [ "Chen", "Chia-Chia", "" ], [ "Peng", "Chi-Han", "" ] ]
We present a novel discrete optimization-based approach to generate downsampled versions of binary images that are guaranteed to have the same topology as the original, measured by the zeroth and first Betti numbers of the black regions, while having good similarity to the original image as measured by IoU and Dice sco...
2405.02653
Qianli Zhou
Qianli Zhou and Tianxiang Zhan and Yong Deng
Isopignistic Canonical Decomposition via Belief Evolution Network
null
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Developing a general information processing model in uncertain environments is fundamental for the advancement of explainable artificial intelligence. Dempster-Shafer theory of evidence is a well-known and effective reasoning method for representing epistemic uncertainty, which is closely related to subjective probab...
[ { "created": "Sat, 4 May 2024 12:39:15 GMT", "version": "v1" } ]
2024-05-07
[ [ "Zhou", "Qianli", "" ], [ "Zhan", "Tianxiang", "" ], [ "Deng", "Yong", "" ] ]
Developing a general information processing model in uncertain environments is fundamental for the advancement of explainable artificial intelligence. Dempster-Shafer theory of evidence is a well-known and effective reasoning method for representing epistemic uncertainty, which is closely related to subjective probabil...
2303.03616
Van-Thach Do
Van-Thach Do and Quang-Cuong Pham
Geometry-Aware Coverage Path Planning for Depowdering on Complex 3D Surfaces
8 pages, 8 figures
IEEE ROBOTICS AND AUTOMATION LETTERS, VOL. 8, NO. 9, SEPTEMBER 2023
10.1109/LRA.2023.3296943
null
cs.RO cs.CG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a new approach to obtaining nearly complete coverage paths (CP) with low overlapping on 3D general surfaces using mesh models. The CP is obtained by segmenting the mesh model into a given number of clusters using constrained centroidal Voronoi tessellation (CCVT) and finding the shortest path from...
[ { "created": "Tue, 7 Mar 2023 03:01:26 GMT", "version": "v1" }, { "created": "Mon, 5 Jun 2023 00:55:58 GMT", "version": "v2" }, { "created": "Thu, 8 Jun 2023 01:43:29 GMT", "version": "v3" } ]
2023-10-24
[ [ "Do", "Van-Thach", "" ], [ "Pham", "Quang-Cuong", "" ] ]
This paper presents a new approach to obtaining nearly complete coverage paths (CP) with low overlapping on 3D general surfaces using mesh models. The CP is obtained by segmenting the mesh model into a given number of clusters using constrained centroidal Voronoi tessellation (CCVT) and finding the shortest path from c...
2303.00154
Elena Trunz
Elena Trunz, Jonathan Klein, Jan M\"uller, Lukas Bode, Ralf Sarlette, Michael Weinmann, Reinhard Klein
Neural inverse procedural modeling of knitting yarns from images
23 pages, 16 figures
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
We investigate the capabilities of neural inverse procedural modeling to infer high-quality procedural yarn models with fiber-level details from single images of depicted yarn samples. While directly inferring all parameters of the underlying yarn model based on a single neural network may seem an intuitive choice, w...
[ { "created": "Wed, 1 Mar 2023 00:56:39 GMT", "version": "v1" } ]
2023-03-02
[ [ "Trunz", "Elena", "" ], [ "Klein", "Jonathan", "" ], [ "Müller", "Jan", "" ], [ "Bode", "Lukas", "" ], [ "Sarlette", "Ralf", "" ], [ "Weinmann", "Michael", "" ], [ "Klein", "Reinhard", "" ] ]
We investigate the capabilities of neural inverse procedural modeling to infer high-quality procedural yarn models with fiber-level details from single images of depicted yarn samples. While directly inferring all parameters of the underlying yarn model based on a single neural network may seem an intuitive choice, we ...
2001.06350
Maira Gatti de Bayser
Maira Gatti de Bayser, Melina Alberio Guerra, Paulo Cavalin, Claudio Pinhanez
A Hybrid Solution to Learn Turn-Taking in Multi-Party Service-based Chat Groups
arXiv admin note: text overlap with arXiv:1907.02090
null
null
null
cs.CL cs.FL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
To predict the next most likely participant to interact in a multi-party conversation is a difficult problem. In a text-based chat group, the only information available is the sender, the content of the text and the dialogue history. In this paper we present our study on how these information can be used on the predi...
[ { "created": "Tue, 14 Jan 2020 22:37:21 GMT", "version": "v1" } ]
2020-01-20
[ [ "de Bayser", "Maira Gatti", "" ], [ "Guerra", "Melina Alberio", "" ], [ "Cavalin", "Paulo", "" ], [ "Pinhanez", "Claudio", "" ] ]
To predict the next most likely participant to interact in a multi-party conversation is a difficult problem. In a text-based chat group, the only information available is the sender, the content of the text and the dialogue history. In this paper we present our study on how these information can be used on the predict...
1607.02037
Parthe Pandit
Parthe Pandit and Ankur A. Kulkarni
Refinement of the Equilibrium of Public Goods Games over Networks: Efficiency and Effort of Specialized Equilibria
null
Journal of Mathematical Economics, Available online 16 April 2018
10.1016/j.jmateco.2018.04.002
null
cs.GT math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently Bramoulle and Kranton presented a model for the provision of public goods over a network and showed the existence of a class of Nash equilibria called specialized equilibria wherein some agents exert maximum effort while other agents free ride. We examine the efficiency, effort and cost of specialized equili...
[ { "created": "Thu, 7 Jul 2016 14:51:33 GMT", "version": "v1" }, { "created": "Mon, 24 Jan 2022 04:52:46 GMT", "version": "v2" } ]
2022-01-25
[ [ "Pandit", "Parthe", "" ], [ "Kulkarni", "Ankur A.", "" ] ]
Recently Bramoulle and Kranton presented a model for the provision of public goods over a network and showed the existence of a class of Nash equilibria called specialized equilibria wherein some agents exert maximum effort while other agents free ride. We examine the efficiency, effort and cost of specialized equilibr...
2010.08781
Nick Brown
Ludovic A.R. Capelli, Zhenjiang Hu, Timothy A.K. Zakian, Nick Brown, J. Mark Bull
iPregel: Vertex-centric programmability vs memory efficiency and performance, why choose?
null
In Parallel Computing. 2019 Aug 1;86:45-56
10.1016/j.parco.2019.04.005
null
cs.DC
http://creativecommons.org/licenses/by/4.0/
The vertex-centric programming model, designed to improve the programmability in graph processing application writing, has attracted great attention over the years. However, shared memory frameworks that implement the vertex-centric interface all expose a common tradeoff: programmability against memory efficiency and...
[ { "created": "Sat, 17 Oct 2020 12:40:52 GMT", "version": "v1" } ]
2020-10-20
[ [ "Capelli", "Ludovic A. R.", "" ], [ "Hu", "Zhenjiang", "" ], [ "Zakian", "Timothy A. K.", "" ], [ "Brown", "Nick", "" ], [ "Bull", "J. Mark", "" ] ]
The vertex-centric programming model, designed to improve the programmability in graph processing application writing, has attracted great attention over the years. However, shared memory frameworks that implement the vertex-centric interface all expose a common tradeoff: programmability against memory efficiency and p...
2205.15918
Pierre Erbacher
Pierre Erbacher, Ludovic Denoyer, Laure Soulier
Interactive Query Clarification and Refinement via User Simulation
null
null
null
null
cs.IR
http://creativecommons.org/licenses/by/4.0/
When users initiate search sessions, their queries are often unclear or might lack of context; this resulting in inefficient document ranking. Multiple approaches have been proposed by the Information Retrieval community to add context and retrieve documents aligned with users' intents. While some work focus on query...
[ { "created": "Tue, 31 May 2022 16:08:41 GMT", "version": "v1" } ]
2022-06-01
[ [ "Erbacher", "Pierre", "" ], [ "Denoyer", "Ludovic", "" ], [ "Soulier", "Laure", "" ] ]
When users initiate search sessions, their queries are often unclear or might lack of context; this resulting in inefficient document ranking. Multiple approaches have been proposed by the Information Retrieval community to add context and retrieve documents aligned with users' intents. While some work focus on query d...
2403.02628
Biqing Qi
Biqing Qi, Xingquan Chen, Junqi Gao, Dong Li, Jianxing Liu, Ligang Wu and Bowen Zhou
Interactive Continual Learning: Fast and Slow Thinking
Accepted to CVPR 2024
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Advanced life forms, sustained by the synergistic interaction of neural cognitive mechanisms, continually acquire and transfer knowledge throughout their lifespan. In contrast, contemporary machine learning paradigms exhibit limitations in emulating the facets of continual learning (CL). Nonetheless, the emergence of...
[ { "created": "Tue, 5 Mar 2024 03:37:28 GMT", "version": "v1" }, { "created": "Tue, 19 Mar 2024 02:19:52 GMT", "version": "v2" } ]
2024-03-20
[ [ "Qi", "Biqing", "" ], [ "Chen", "Xingquan", "" ], [ "Gao", "Junqi", "" ], [ "Li", "Dong", "" ], [ "Liu", "Jianxing", "" ], [ "Wu", "Ligang", "" ], [ "Zhou", "Bowen", "" ] ]
Advanced life forms, sustained by the synergistic interaction of neural cognitive mechanisms, continually acquire and transfer knowledge throughout their lifespan. In contrast, contemporary machine learning paradigms exhibit limitations in emulating the facets of continual learning (CL). Nonetheless, the emergence of l...
1408.7035
Elad Michael Schiller (PhD)
Oscar Morales-Ponce and Elad M. Schiller and Paolo Falcone
Cooperation with Disagreement Correction in the Presence of Communication Failures
Extended version of the paper with the same name that appears in 17th International IEEE Conference on Intelligent Transportation Systems
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Vehicle-to-vehicle communication is a fundamental requirement in cooperative vehicular systems to achieve high performance while keeping high safety standards. Vehicles periodically exchange critical information with nearby vehicles to determine their maneuvers according to the information quality and established str...
[ { "created": "Fri, 29 Aug 2014 14:34:00 GMT", "version": "v1" }, { "created": "Thu, 26 Feb 2015 23:00:57 GMT", "version": "v2" } ]
2015-03-02
[ [ "Morales-Ponce", "Oscar", "" ], [ "Schiller", "Elad M.", "" ], [ "Falcone", "Paolo", "" ] ]
Vehicle-to-vehicle communication is a fundamental requirement in cooperative vehicular systems to achieve high performance while keeping high safety standards. Vehicles periodically exchange critical information with nearby vehicles to determine their maneuvers according to the information quality and established strat...
2006.04489
Hichem Sahbi
Ahmed Mazari and Hichem Sahbi
Action Recognition with Deep Multiple Aggregation Networks
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Most of the current action recognition algorithms are based on deep networks which stack multiple convolutional, pooling and fully connected layers. While convolutional and fully connected operations have been widely studied in the literature, the design of pooling operations that handle action recognition, with diff...
[ { "created": "Mon, 8 Jun 2020 11:37:38 GMT", "version": "v1" } ]
2020-06-09
[ [ "Mazari", "Ahmed", "" ], [ "Sahbi", "Hichem", "" ] ]
Most of the current action recognition algorithms are based on deep networks which stack multiple convolutional, pooling and fully connected layers. While convolutional and fully connected operations have been widely studied in the literature, the design of pooling operations that handle action recognition, with differ...
1911.07260
Yunming Zhang
Yunming Zhang, Ajay Brahmakshatriya, Xinyi Chen, Laxman Dhulipala, Shoaib Kamil, Saman Amarasinghe, Julian Shun
Optimizing Ordered Graph Algorithms with GraphIt
null
CGO 2020
null
null
cs.PL cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Many graph problems can be solved using ordered parallel graph algorithms that achieve significant speedup over their unordered counterparts by reducing redundant work. This paper introduces a new priority-based extension to GraphIt, a domain-specific language for writing graph applications, to simplify writing high-...
[ { "created": "Sun, 17 Nov 2019 15:51:02 GMT", "version": "v1" }, { "created": "Sun, 26 Jan 2020 23:37:14 GMT", "version": "v2" } ]
2020-01-28
[ [ "Zhang", "Yunming", "" ], [ "Brahmakshatriya", "Ajay", "" ], [ "Chen", "Xinyi", "" ], [ "Dhulipala", "Laxman", "" ], [ "Kamil", "Shoaib", "" ], [ "Amarasinghe", "Saman", "" ], [ "Shun", "Julian", "" ] ]
Many graph problems can be solved using ordered parallel graph algorithms that achieve significant speedup over their unordered counterparts by reducing redundant work. This paper introduces a new priority-based extension to GraphIt, a domain-specific language for writing graph applications, to simplify writing high-pe...
2407.00706
Man Shun Ang
Andersen Ang, Waqas Bin Hamed, Hans De Sterck
Sum-of-norms regularized Nonnegative Matrix Factorization
22 pages, 12 figures
null
null
null
cs.LG math.OC stat.ML
http://creativecommons.org/licenses/by/4.0/
When applying nonnegative matrix factorization (NMF), generally the rank parameter is unknown. Such rank in NMF, called the nonnegative rank, is usually estimated heuristically since computing the exact value of it is NP-hard. In this work, we propose an approximation method to estimate such rank while solving NMF on...
[ { "created": "Sun, 30 Jun 2024 14:16:27 GMT", "version": "v1" } ]
2024-07-02
[ [ "Ang", "Andersen", "" ], [ "Hamed", "Waqas Bin", "" ], [ "De Sterck", "Hans", "" ] ]
When applying nonnegative matrix factorization (NMF), generally the rank parameter is unknown. Such rank in NMF, called the nonnegative rank, is usually estimated heuristically since computing the exact value of it is NP-hard. In this work, we propose an approximation method to estimate such rank while solving NMF on-t...
2312.09230
Arthur Conmy
Rhys Gould, Euan Ong, George Ogden, Arthur Conmy
Successor Heads: Recurring, Interpretable Attention Heads In The Wild
12 main text pages, with appendix
null
null
null
cs.LG cs.AI cs.CL
http://creativecommons.org/licenses/by/4.0/
In this work we present successor heads: attention heads that increment tokens with a natural ordering, such as numbers, months, and days. For example, successor heads increment 'Monday' into 'Tuesday'. We explain the successor head behavior with an approach rooted in mechanistic interpretability, the field that aims...
[ { "created": "Thu, 14 Dec 2023 18:55:47 GMT", "version": "v1" } ]
2023-12-15
[ [ "Gould", "Rhys", "" ], [ "Ong", "Euan", "" ], [ "Ogden", "George", "" ], [ "Conmy", "Arthur", "" ] ]
In this work we present successor heads: attention heads that increment tokens with a natural ordering, such as numbers, months, and days. For example, successor heads increment 'Monday' into 'Tuesday'. We explain the successor head behavior with an approach rooted in mechanistic interpretability, the field that aims t...
2110.01717
Zhao Xu
Zhao Xu, Youzhi Luo, Xuan Zhang, Xinyi Xu, Yaochen Xie, Meng Liu, Kaleb Dickerson, Cheng Deng, Maho Nakata, Shuiwang Ji
Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular Graphs
null
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Graph neural networks are emerging as promising methods for modeling molecular graphs, in which nodes and edges correspond to atoms and chemical bonds, respectively. Recent studies show that when 3D molecular geometries, such as bond lengths and angles, are available, molecular property prediction tasks can be made m...
[ { "created": "Thu, 30 Sep 2021 22:09:28 GMT", "version": "v1" } ]
2021-10-06
[ [ "Xu", "Zhao", "" ], [ "Luo", "Youzhi", "" ], [ "Zhang", "Xuan", "" ], [ "Xu", "Xinyi", "" ], [ "Xie", "Yaochen", "" ], [ "Liu", "Meng", "" ], [ "Dickerson", "Kaleb", "" ], [ "Deng", "Cheng", ...
Graph neural networks are emerging as promising methods for modeling molecular graphs, in which nodes and edges correspond to atoms and chemical bonds, respectively. Recent studies show that when 3D molecular geometries, such as bond lengths and angles, are available, molecular property prediction tasks can be made mor...
1709.05665
Kevis-Kokitsi Maninis
Thomas Probst, Kevis-Kokitsi Maninis, Ajad Chhatkuli, Mouloud Ourak, Emmanuel Vander Poorten, Luc Van Gool
Automatic Tool Landmark Detection for Stereo Vision in Robot-Assisted Retinal Surgery
Accepted in Robotics and Automation Letters (RA-L). Project page: http://www.vision.ee.ethz.ch/~kmaninis/keypoints2stereo/index.html
null
null
null
cs.CV cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Computer vision and robotics are being increasingly applied in medical interventions. Especially in interventions where extreme precision is required they could make a difference. One such application is robot-assisted retinal microsurgery. In recent works, such interventions are conducted under a stereo-microscope, ...
[ { "created": "Sun, 17 Sep 2017 14:00:26 GMT", "version": "v1" }, { "created": "Mon, 20 Nov 2017 17:59:08 GMT", "version": "v2" } ]
2017-11-22
[ [ "Probst", "Thomas", "" ], [ "Maninis", "Kevis-Kokitsi", "" ], [ "Chhatkuli", "Ajad", "" ], [ "Ourak", "Mouloud", "" ], [ "Poorten", "Emmanuel Vander", "" ], [ "Van Gool", "Luc", "" ] ]
Computer vision and robotics are being increasingly applied in medical interventions. Especially in interventions where extreme precision is required they could make a difference. One such application is robot-assisted retinal microsurgery. In recent works, such interventions are conducted under a stereo-microscope, an...
1707.09217
Gerhard Gossen
Gerhard Gossen and Elena Demidova and Thomas Risse
Extracting Event-Centric Document Collections from Large-Scale Web Archives
To be published in the proceedings of the Conference on Theory and Practice of Digital Libraries (TPDL) 2017
null
null
null
cs.DL cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Web archives are typically very broad in scope and extremely large in scale. This makes data analysis appear daunting, especially for non-computer scientists. These collections constitute an increasingly important source for researchers in the social sciences, the historical sciences and journalists interested in stu...
[ { "created": "Fri, 28 Jul 2017 13:18:01 GMT", "version": "v1" } ]
2017-07-31
[ [ "Gossen", "Gerhard", "" ], [ "Demidova", "Elena", "" ], [ "Risse", "Thomas", "" ] ]
Web archives are typically very broad in scope and extremely large in scale. This makes data analysis appear daunting, especially for non-computer scientists. These collections constitute an increasingly important source for researchers in the social sciences, the historical sciences and journalists interested in study...
2207.09865
Haipeng Xiong Mr.
Haipeng Xiong and Angela Yao
Discrete-Constrained Regression for Local Counting Models
Accepted by ECCV 2022
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Local counts, or the number of objects in a local area, is a continuous value by nature. Yet recent state-of-the-art methods show that formulating counting as a classification task performs better than regression. Through a series of experiments on carefully controlled synthetic data, we show that this counter-intuit...
[ { "created": "Wed, 20 Jul 2022 12:54:23 GMT", "version": "v1" } ]
2022-07-21
[ [ "Xiong", "Haipeng", "" ], [ "Yao", "Angela", "" ] ]
Local counts, or the number of objects in a local area, is a continuous value by nature. Yet recent state-of-the-art methods show that formulating counting as a classification task performs better than regression. Through a series of experiments on carefully controlled synthetic data, we show that this counter-intuitiv...
2106.00943
Xinyi Zhang
Xinyi Zhang, Keisuke Koyama, Yukiyasu Domae, Weiwei Wan and Kensuke Harada
A Topological Solution of Entanglement for Complex-shaped Parts in Robotic Bin-picking
7 pages
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper addresses the problem of picking up only one object at a time avoiding any entanglement in bin-picking. To cope with a difficult case where the complex-shaped objects are heavily entangled together, we propose a topology-based method that can generate non-tangle grasp positions on a single depth image. The...
[ { "created": "Wed, 2 Jun 2021 05:09:09 GMT", "version": "v1" }, { "created": "Tue, 1 Mar 2022 02:33:02 GMT", "version": "v2" } ]
2022-03-02
[ [ "Zhang", "Xinyi", "" ], [ "Koyama", "Keisuke", "" ], [ "Domae", "Yukiyasu", "" ], [ "Wan", "Weiwei", "" ], [ "Harada", "Kensuke", "" ] ]
This paper addresses the problem of picking up only one object at a time avoiding any entanglement in bin-picking. To cope with a difficult case where the complex-shaped objects are heavily entangled together, we propose a topology-based method that can generate non-tangle grasp positions on a single depth image. The c...
2406.13983
Juan Luque
Juan Luque, Sharmila Duppala, John Dickerson, Aravind Srinivasan
Barter Exchange with Shared Item Valuations
A previous version of this work appeared in the proceedings of WWW '24
null
10.1145/3589334.3645632
null
cs.DS
http://creativecommons.org/licenses/by-nc-sa/4.0/
In barter exchanges agents enter seeking to swap their items for other items on their wishlist. We consider a centralized barter exchange with a set of agents and items where each item has a positive value. The goal is to compute a (re)allocation of items maximizing the agents' collective utility subject to each agen...
[ { "created": "Thu, 20 Jun 2024 04:23:53 GMT", "version": "v1" } ]
2024-06-21
[ [ "Luque", "Juan", "" ], [ "Duppala", "Sharmila", "" ], [ "Dickerson", "John", "" ], [ "Srinivasan", "Aravind", "" ] ]
In barter exchanges agents enter seeking to swap their items for other items on their wishlist. We consider a centralized barter exchange with a set of agents and items where each item has a positive value. The goal is to compute a (re)allocation of items maximizing the agents' collective utility subject to each agent'...
2308.10610
Yubiao Yue
Yubiao Yue, Xinyu Zeng, Xiaoqiang Shi, Meiping Zhang, Fan Zhang, Yunxin Liang, Yan Liu, Zhenzhang Li, Yang Li
Ear-Keeper: Real-time Diagnosis of Ear Lesions Utilizing Ultralight-Ultrafast ConvNet and Large-scale Ear Endoscopic Dataset
18 pages,8 figures
null
null
null
cs.CV cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep learning-based ear disease diagnosis technology has proven effective and affordable. However, due to the lack of ear endoscope datasets with diversity, the practical potential of the deep learning model has not been thoroughly studied. Moreover, existing research failed to achieve a good trade-off between model ...
[ { "created": "Mon, 21 Aug 2023 10:20:46 GMT", "version": "v1" }, { "created": "Sun, 21 Jan 2024 13:23:10 GMT", "version": "v2" }, { "created": "Tue, 23 Jan 2024 01:48:20 GMT", "version": "v3" }, { "created": "Wed, 10 Apr 2024 08:16:18 GMT", "version": "v4" } ]
2024-04-11
[ [ "Yue", "Yubiao", "" ], [ "Zeng", "Xinyu", "" ], [ "Shi", "Xiaoqiang", "" ], [ "Zhang", "Meiping", "" ], [ "Zhang", "Fan", "" ], [ "Liang", "Yunxin", "" ], [ "Liu", "Yan", "" ], [ "Li", "Zhenzhan...
Deep learning-based ear disease diagnosis technology has proven effective and affordable. However, due to the lack of ear endoscope datasets with diversity, the practical potential of the deep learning model has not been thoroughly studied. Moreover, existing research failed to achieve a good trade-off between model in...
2211.01703
Ke Sun
Ke Sun, Samir M. Perlaza, and Alain Jean-Marie
$2 \times 2$ Zero-Sum Games with Commitments and Noisy Observations
Accepted by 2023 IEEE Int. Symp. on Information Theory (ISIT)
null
null
null
cs.GT cs.IT cs.LG math.IT math.ST stat.ML stat.TH
http://creativecommons.org/licenses/by-nc-nd/4.0/
In this paper, $2\times2$ zero-sum games are studied under the following assumptions: $(1)$ One of the players (the leader) commits to choose its actions by sampling a given probability measure (strategy); $(2)$ The leader announces its action, which is observed by its opponent (the follower) through a binary channel...
[ { "created": "Thu, 3 Nov 2022 10:56:00 GMT", "version": "v1" }, { "created": "Wed, 10 May 2023 00:50:30 GMT", "version": "v2" }, { "created": "Thu, 11 May 2023 08:29:01 GMT", "version": "v3" } ]
2023-05-12
[ [ "Sun", "Ke", "" ], [ "Perlaza", "Samir M.", "" ], [ "Jean-Marie", "Alain", "" ] ]
In this paper, $2\times2$ zero-sum games are studied under the following assumptions: $(1)$ One of the players (the leader) commits to choose its actions by sampling a given probability measure (strategy); $(2)$ The leader announces its action, which is observed by its opponent (the follower) through a binary channel; ...
1703.08100
Jiongqian Liang
Jiongqian Liang, Peter Jacobs, Jiankai Sun, Srinivasan Parthasarathy
Semi-supervised Embedding in Attributed Networks with Outliers
in Proceedings of SIAM International Conference on Data Mining (SDM'18)
null
null
null
cs.SI cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose a novel framework, called Semi-supervised Embedding in Attributed Networks with Outliers (SEANO), to learn a low-dimensional vector representation that systematically captures the topological proximity, attribute affinity and label similarity of vertices in a partially labeled attributed net...
[ { "created": "Thu, 23 Mar 2017 15:15:53 GMT", "version": "v1" }, { "created": "Fri, 13 Oct 2017 20:51:05 GMT", "version": "v2" }, { "created": "Mon, 5 Mar 2018 19:14:14 GMT", "version": "v3" }, { "created": "Thu, 26 Apr 2018 21:54:52 GMT", "version": "v4" } ]
2018-04-30
[ [ "Liang", "Jiongqian", "" ], [ "Jacobs", "Peter", "" ], [ "Sun", "Jiankai", "" ], [ "Parthasarathy", "Srinivasan", "" ] ]
In this paper, we propose a novel framework, called Semi-supervised Embedding in Attributed Networks with Outliers (SEANO), to learn a low-dimensional vector representation that systematically captures the topological proximity, attribute affinity and label similarity of vertices in a partially labeled attributed netwo...
1304.3083
Norman C. Dalkey
Norman C. Dalkey
Models vs. Inductive Inference for Dealing With Probabilistic Knowledge
Appears in Proceedings of the Second Conference on Uncertainty in Artificial Intelligence (UAI1986)
null
null
UAI-P-1986-PG-63-70
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Two different approaches to dealing with probabilistic knowledge are examined -models and inductive inference. Examples of the first are: influence diagrams [1], Bayesian networks [2], log-linear models [3, 4]. Examples of the second are: games-against nature [5, 6] varieties of maximum-entropy methods [7, 8, 9], and...
[ { "created": "Wed, 27 Mar 2013 19:51:44 GMT", "version": "v1" } ]
2013-04-12
[ [ "Dalkey", "Norman C.", "" ] ]
Two different approaches to dealing with probabilistic knowledge are examined -models and inductive inference. Examples of the first are: influence diagrams [1], Bayesian networks [2], log-linear models [3, 4]. Examples of the second are: games-against nature [5, 6] varieties of maximum-entropy methods [7, 8, 9], and t...
1307.6649
Dr. Rajesh Kumar Tiwari
Kumar Gunjan, R. K. Tiwari, G. Sahoo
Towards Securing APIs in Cloud Computing
International Journal of Computer Engineering and Applications, June 2013. arXiv admin note: text overlap with arXiv:0901.0131 by other authors
null
null
null
cs.DC cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Every organisation today wants to adopt cloud computing paradigm and leverage its various advantages. Today everyone is aware of its characteristics which have made it so popular and how it can help the organisations focus on their core activities leaving all IT services development and maintenance to the cloud servi...
[ { "created": "Thu, 25 Jul 2013 07:41:44 GMT", "version": "v1" } ]
2013-07-26
[ [ "Gunjan", "Kumar", "" ], [ "Tiwari", "R. K.", "" ], [ "Sahoo", "G.", "" ] ]
Every organisation today wants to adopt cloud computing paradigm and leverage its various advantages. Today everyone is aware of its characteristics which have made it so popular and how it can help the organisations focus on their core activities leaving all IT services development and maintenance to the cloud service...
1903.09465
Yuan Cao
Zhuotao Liu and Yuan Cao and Xuewu Zhang and Changping Zhu and Fan Zhang
Managing Recurrent Virtual Network Updates in Multi-Tenant Datacenters: A System Perspective
null
null
null
null
cs.CR cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the advent of software-defined networking, network configuration through programmable interfaces becomes practical, leading to various on-demand opportunities for network routing update in multi-tenant datacenters, where tenants have diverse requirements on network routings such as short latency, low path inflat...
[ { "created": "Fri, 22 Mar 2019 12:04:02 GMT", "version": "v1" }, { "created": "Thu, 28 Mar 2019 07:45:34 GMT", "version": "v2" }, { "created": "Fri, 29 Mar 2019 11:17:54 GMT", "version": "v3" }, { "created": "Sun, 7 Apr 2019 06:45:38 GMT", "version": "v4" }, { "cr...
2020-06-19
[ [ "Liu", "Zhuotao", "" ], [ "Cao", "Yuan", "" ], [ "Zhang", "Xuewu", "" ], [ "Zhu", "Changping", "" ], [ "Zhang", "Fan", "" ] ]
With the advent of software-defined networking, network configuration through programmable interfaces becomes practical, leading to various on-demand opportunities for network routing update in multi-tenant datacenters, where tenants have diverse requirements on network routings such as short latency, low path inflatio...
2306.13631
Ayca Takmaz
Ay\c{c}a Takmaz, Elisabetta Fedele, Robert W. Sumner, Marc Pollefeys, Federico Tombari, Francis Engelmann
OpenMask3D: Open-Vocabulary 3D Instance Segmentation
NeurIPS 2023. Project page: https://openmask3d.github.io/
NeurIPS 2023
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce the task of open-vocabulary 3D instance segmentation. Current approaches for 3D instance segmentation can typically only recognize object categories from a pre-defined closed set of classes that are annotated in the training datasets. This results in important limitations for real-world applications wher...
[ { "created": "Fri, 23 Jun 2023 17:36:44 GMT", "version": "v1" }, { "created": "Sun, 29 Oct 2023 14:04:25 GMT", "version": "v2" } ]
2023-10-31
[ [ "Takmaz", "Ayça", "" ], [ "Fedele", "Elisabetta", "" ], [ "Sumner", "Robert W.", "" ], [ "Pollefeys", "Marc", "" ], [ "Tombari", "Federico", "" ], [ "Engelmann", "Francis", "" ] ]
We introduce the task of open-vocabulary 3D instance segmentation. Current approaches for 3D instance segmentation can typically only recognize object categories from a pre-defined closed set of classes that are annotated in the training datasets. This results in important limitations for real-world applications where ...
2312.11774
Yuze He
Yuze He, Yushi Bai, Matthieu Lin, Jenny Sheng, Yubin Hu, Qi Wang, Yu-Hui Wen, Yong-Jin Liu
Text-Image Conditioned Diffusion for Consistent Text-to-3D Generation
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
By lifting the pre-trained 2D diffusion models into Neural Radiance Fields (NeRFs), text-to-3D generation methods have made great progress. Many state-of-the-art approaches usually apply score distillation sampling (SDS) to optimize the NeRF representations, which supervises the NeRF optimization with pre-trained tex...
[ { "created": "Tue, 19 Dec 2023 01:09:49 GMT", "version": "v1" } ]
2023-12-20
[ [ "He", "Yuze", "" ], [ "Bai", "Yushi", "" ], [ "Lin", "Matthieu", "" ], [ "Sheng", "Jenny", "" ], [ "Hu", "Yubin", "" ], [ "Wang", "Qi", "" ], [ "Wen", "Yu-Hui", "" ], [ "Liu", "Yong-Jin", ""...
By lifting the pre-trained 2D diffusion models into Neural Radiance Fields (NeRFs), text-to-3D generation methods have made great progress. Many state-of-the-art approaches usually apply score distillation sampling (SDS) to optimize the NeRF representations, which supervises the NeRF optimization with pre-trained text-...
2206.02597
Alvari Sepp\"anen
Alvari Sepp\"anen, Eerik Alamikkotervo, Risto Ojala, Giacomo Dario, Kari Tammi
No GPU? No problem: an ultra fast 3D detection of road users with a simple proposal generator and energy-based out-of-distribution PointNets
null
null
10.1186/s40537-023-00859-5
null
cs.RO cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a novel architecture for point cloud road user detection, which is based on a classical point cloud proposal generator approach, that utilizes simple geometrical rules. New methods are coupled with this technique to achieve extremely small computational requirement, and mAP that is comparable to t...
[ { "created": "Mon, 6 Jun 2022 13:08:22 GMT", "version": "v1" } ]
2024-01-04
[ [ "Seppänen", "Alvari", "" ], [ "Alamikkotervo", "Eerik", "" ], [ "Ojala", "Risto", "" ], [ "Dario", "Giacomo", "" ], [ "Tammi", "Kari", "" ] ]
This paper presents a novel architecture for point cloud road user detection, which is based on a classical point cloud proposal generator approach, that utilizes simple geometrical rules. New methods are coupled with this technique to achieve extremely small computational requirement, and mAP that is comparable to the...
2008.03808
Mohammed Alqahtani
Mohammed Alqahtani, Susan Gauch, Omar Salman, Mohammed Ibrahim, Reem Al-Saffar
Diverse Group Formation Based on Multiple Demographic Features
null
KDIR, 169-178, 2020
null
null
cs.IR cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The goal of group formation is to build a team to accomplish a specific task. Algorithms are employed to improve the effectiveness of the team so formed and the efficiency of the group selection process. However, there is concern that team formation algorithms could be biased against minorities due to the algorithms ...
[ { "created": "Sun, 9 Aug 2020 20:15:04 GMT", "version": "v1" }, { "created": "Thu, 3 Dec 2020 06:11:10 GMT", "version": "v2" } ]
2020-12-04
[ [ "Alqahtani", "Mohammed", "" ], [ "Gauch", "Susan", "" ], [ "Salman", "Omar", "" ], [ "Ibrahim", "Mohammed", "" ], [ "Al-Saffar", "Reem", "" ] ]
The goal of group formation is to build a team to accomplish a specific task. Algorithms are employed to improve the effectiveness of the team so formed and the efficiency of the group selection process. However, there is concern that team formation algorithms could be biased against minorities due to the algorithms th...
2210.00704
Yingming Pu
Yingming Pu
Combined Dynamic Virtual Spatiotemporal Graph Mapping for Traffic Prediction
null
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The continuous expansion of the urban construction scale has recently contributed to the demand for the dynamics of traffic intersections that are managed, making adaptive modellings become a hot topic. Existing deep learning methods are powerful to fit complex heterogeneous graphs. However, they still have drawbacks...
[ { "created": "Mon, 3 Oct 2022 04:11:21 GMT", "version": "v1" } ]
2022-10-04
[ [ "Pu", "Yingming", "" ] ]
The continuous expansion of the urban construction scale has recently contributed to the demand for the dynamics of traffic intersections that are managed, making adaptive modellings become a hot topic. Existing deep learning methods are powerful to fit complex heterogeneous graphs. However, they still have drawbacks, ...
1811.07442
Armon Shariati
Armon Shariati, Bernd Pfrommer, Camillo J. Taylor
Predictive and Semantic Layout Estimation for Robotic Applications in Manhattan Worlds
null
null
null
null
cs.CV cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper describes an approach to automatically extracting floor plans from the kinds of incomplete measurements that could be acquired by an autonomous mobile robot. The approach proceeds by reasoning about extended structural layout surfaces which are automatically extracted from the available data. The scheme ca...
[ { "created": "Mon, 19 Nov 2018 00:49:54 GMT", "version": "v1" } ]
2018-11-20
[ [ "Shariati", "Armon", "" ], [ "Pfrommer", "Bernd", "" ], [ "Taylor", "Camillo J.", "" ] ]
This paper describes an approach to automatically extracting floor plans from the kinds of incomplete measurements that could be acquired by an autonomous mobile robot. The approach proceeds by reasoning about extended structural layout surfaces which are automatically extracted from the available data. The scheme can ...
1808.08429
Ines Dutra
Carla Silva, In\^es Dutra, Marcus S. Dahlem
Driven tabu search: a quantum inherent optimisation
6 pages
null
null
null
cs.ET quant-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Quantum computers are different from binary digital electronic computers based on transistors. Common digital computing encodes the data into binary digits (bits), each of which is always in one of two definite states (0 or 1), quantum computation uses quantum bits (qubits). A circuit-based qubit quantum computer exi...
[ { "created": "Sat, 25 Aug 2018 13:49:27 GMT", "version": "v1" } ]
2018-08-28
[ [ "Silva", "Carla", "" ], [ "Dutra", "Inês", "" ], [ "Dahlem", "Marcus S.", "" ] ]
Quantum computers are different from binary digital electronic computers based on transistors. Common digital computing encodes the data into binary digits (bits), each of which is always in one of two definite states (0 or 1), quantum computation uses quantum bits (qubits). A circuit-based qubit quantum computer exist...
2402.13973
Jiahao Zhang
Jiahao Zhang, Rui Xue, Wenqi Fan, Xin Xu, Qing Li, Jian Pei, Xiaorui Liu
Linear-Time Graph Neural Networks for Scalable Recommendations
12 pages, 5 figures, accepted by The Web Conference 2024
null
null
null
cs.IR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In an era of information explosion, recommender systems are vital tools to deliver personalized recommendations for users. The key of recommender systems is to forecast users' future behaviors based on previous user-item interactions. Due to their strong expressive power of capturing high-order connectivities in user...
[ { "created": "Wed, 21 Feb 2024 17:58:10 GMT", "version": "v1" } ]
2024-02-22
[ [ "Zhang", "Jiahao", "" ], [ "Xue", "Rui", "" ], [ "Fan", "Wenqi", "" ], [ "Xu", "Xin", "" ], [ "Li", "Qing", "" ], [ "Pei", "Jian", "" ], [ "Liu", "Xiaorui", "" ] ]
In an era of information explosion, recommender systems are vital tools to deliver personalized recommendations for users. The key of recommender systems is to forecast users' future behaviors based on previous user-item interactions. Due to their strong expressive power of capturing high-order connectivities in user-i...
2212.06436
Thomas Werthenbach
Thomas Werthenbach and Johan Pouwelse
Survey on social reputation mechanisms: Someone told me I can trust you
10 pages, 3 figures, 1 table
null
null
null
cs.DC
http://creativecommons.org/licenses/by/4.0/
Nowadays, most business and social interactions have moved to the internet, highlighting the relevance of creating online trust. One way to obtain a measure of trust is through reputation mechanisms, which record one's past performance and interactions to generate a reputational value. We observe that numerous existi...
[ { "created": "Tue, 13 Dec 2022 08:57:42 GMT", "version": "v1" } ]
2022-12-14
[ [ "Werthenbach", "Thomas", "" ], [ "Pouwelse", "Johan", "" ] ]
Nowadays, most business and social interactions have moved to the internet, highlighting the relevance of creating online trust. One way to obtain a measure of trust is through reputation mechanisms, which record one's past performance and interactions to generate a reputational value. We observe that numerous existing...
1911.07486
Max Maass
Mikhail Fomichev, Max Maass, Matthias Hollick
Zero-Interaction Security -- Towards Sound Experimental Validation
6 Pages. Companion article to arXiv:1901.07255 [cs.CR], dataset at https://zenodo.org/record/2537721
ACM GetMobile, Vol. 23 Issue 2 (June 2019), p. 16-21
10.1145/3372300.3372304
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Reproducibility and realistic datasets are crucial for advancing research. Unfortunately, they are often neglected as valid scientific contributions in many young disciplines, with computer science being no exception. In this article, we show the challenges encountered when reproducing the work of others, collecting ...
[ { "created": "Mon, 18 Nov 2019 08:46:49 GMT", "version": "v1" } ]
2019-11-19
[ [ "Fomichev", "Mikhail", "" ], [ "Maass", "Max", "" ], [ "Hollick", "Matthias", "" ] ]
Reproducibility and realistic datasets are crucial for advancing research. Unfortunately, they are often neglected as valid scientific contributions in many young disciplines, with computer science being no exception. In this article, we show the challenges encountered when reproducing the work of others, collecting re...
1807.05987
Svitlana Lytvynova H
Svitlana Lytvynova and Oksana Melnyk
Professional Development of Teachers Using Cloud Services During Non-formal Education
null
null
null
null
cs.CY
http://creativecommons.org/publicdomain/zero/1.0/
The rapid development of cloud services and their implementation in secondary education require an increase in the IC-competence of teachers during non-formal education. The implementation of cloud services will make it possible to create some conditions for learning mobility of all participants of teaching and learn...
[ { "created": "Mon, 16 Jul 2018 17:39:01 GMT", "version": "v1" } ]
2018-07-17
[ [ "Lytvynova", "Svitlana", "" ], [ "Melnyk", "Oksana", "" ] ]
The rapid development of cloud services and their implementation in secondary education require an increase in the IC-competence of teachers during non-formal education. The implementation of cloud services will make it possible to create some conditions for learning mobility of all participants of teaching and learnin...
1505.05958
Zhenyu Shen
Jingyu Hua, Zhenyu Shen, Sheng Zhong
We Can Track You If You Take the Metro: Tracking Metro Riders Using Accelerometers on Smartphones
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Motion sensors (e.g., accelerometers) on smartphones have been demonstrated to be a powerful side channel for attackers to spy on users' inputs on touchscreen. In this paper, we reveal another motion accelerometer-based attack which is particularly serious: when a person takes the metro, a malicious application on he...
[ { "created": "Fri, 22 May 2015 05:59:55 GMT", "version": "v1" } ]
2015-05-25
[ [ "Hua", "Jingyu", "" ], [ "Shen", "Zhenyu", "" ], [ "Zhong", "Sheng", "" ] ]
Motion sensors (e.g., accelerometers) on smartphones have been demonstrated to be a powerful side channel for attackers to spy on users' inputs on touchscreen. In this paper, we reveal another motion accelerometer-based attack which is particularly serious: when a person takes the metro, a malicious application on her ...
2105.07444
Ramakrishnan Raman
Ramakrishnan Raman, Meenakshi D'Souza
Knowledge Value Stream Framework For Complex Product Design Decisions
31 pages, 25 Figures. A preliminary version of this work was presented in 2017 IEEE Technology & Engineering Management Conference (TEMSCON), which took place on June 8-10, 2017 in Santa Clara County, CA, USA. Subsequently, the work has significantly evolved, expanded in scope and progressed to its present form...
null
null
null
cs.SI
http://creativecommons.org/licenses/by/4.0/
Product Development value stream includes all the activities, value added and non value added, for designing and developing a product. It is characterized by flow of knowledge that drives the decisions, and deals with how the product is conceptualized, architected and designed by the design teams. The intangible flow...
[ { "created": "Sun, 16 May 2021 14:38:12 GMT", "version": "v1" } ]
2021-05-18
[ [ "Raman", "Ramakrishnan", "" ], [ "D'Souza", "Meenakshi", "" ] ]
Product Development value stream includes all the activities, value added and non value added, for designing and developing a product. It is characterized by flow of knowledge that drives the decisions, and deals with how the product is conceptualized, architected and designed by the design teams. The intangible flow o...
2208.05315
YiSong Yu
Yisong Yu, Beihong Jin, Jiageng Song, Beibei Li, Yiyuan Zheng, and Wei Zhu
Improving Micro-video Recommendation by Controlling Position Bias
accepted by ECML PKDD2022
null
null
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As the micro-video apps become popular, the numbers of micro-videos and users increase rapidly, which highlights the importance of micro-video recommendation. Although the micro-video recommendation can be naturally treated as the sequential recommendation, the previous sequential recommendation models do not fully c...
[ { "created": "Tue, 9 Aug 2022 11:58:57 GMT", "version": "v1" } ]
2022-08-11
[ [ "Yu", "Yisong", "" ], [ "Jin", "Beihong", "" ], [ "Song", "Jiageng", "" ], [ "Li", "Beibei", "" ], [ "Zheng", "Yiyuan", "" ], [ "Zhu", "Wei", "" ] ]
As the micro-video apps become popular, the numbers of micro-videos and users increase rapidly, which highlights the importance of micro-video recommendation. Although the micro-video recommendation can be naturally treated as the sequential recommendation, the previous sequential recommendation models do not fully con...
2212.08397
Tulasimohan Molli
Prahladh Harsha, Tulasi mohan Molli, Ashutosh Shankar
Criticality of $\text{AC}^0$ formulae
null
null
null
null
cs.CC
http://creativecommons.org/licenses/by/4.0/
Rossman [In $\textit{Proc. $34$th Comput. Complexity Conf.}$, 2019] introduced the notion of $\textit{criticality}$. The criticality of a Boolean function $f : \{0,1\}^n \to \{0,1\}$ is the minimum $\lambda \geq 1$ such that for all positive integers $t$, \[ \Pr_{\rho \sim \mathcal{R}_p}\left[\text{DT}_{\text{depth}}...
[ { "created": "Fri, 16 Dec 2022 10:41:04 GMT", "version": "v1" }, { "created": "Wed, 21 Dec 2022 05:52:30 GMT", "version": "v2" }, { "created": "Thu, 5 Jan 2023 04:38:50 GMT", "version": "v3" } ]
2023-01-06
[ [ "Harsha", "Prahladh", "" ], [ "Molli", "Tulasi mohan", "" ], [ "Shankar", "Ashutosh", "" ] ]
Rossman [In $\textit{Proc. $34$th Comput. Complexity Conf.}$, 2019] introduced the notion of $\textit{criticality}$. The criticality of a Boolean function $f : \{0,1\}^n \to \{0,1\}$ is the minimum $\lambda \geq 1$ such that for all positive integers $t$, \[ \Pr_{\rho \sim \mathcal{R}_p}\left[\text{DT}_{\text{depth}}(f...
1902.03439
Toke H{\o}iland-J{\o}rgensen
Toke H{\o}iland-J{\o}rgensen, Per Hurtig and Anna Brunstrom
PoliFi: Airtime Policy Enforcement for WiFi
null
null
null
null
cs.NI
http://creativecommons.org/licenses/by-sa/4.0/
As WiFi grows ever more popular, airtime contention becomes an increasing problem. One way to alleviate this is through network policy enforcement. Unfortunately, WiFi lacks protocol support for configuring policies for its usage, and since network-wide coordination cannot generally be ensured, enforcing policy is ch...
[ { "created": "Sat, 9 Feb 2019 16:29:22 GMT", "version": "v1" } ]
2019-02-12
[ [ "Høiland-Jørgensen", "Toke", "" ], [ "Hurtig", "Per", "" ], [ "Brunstrom", "Anna", "" ] ]
As WiFi grows ever more popular, airtime contention becomes an increasing problem. One way to alleviate this is through network policy enforcement. Unfortunately, WiFi lacks protocol support for configuring policies for its usage, and since network-wide coordination cannot generally be ensured, enforcing policy is chal...
1110.0550
Sunil Khatri
Pey-Chang Kent Lin, Ayan Mandal, Sunil P Khatri
Boolean Satisfiability using Noise Based Logic
6 pages, 1 figure
null
null
null
cs.CC cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we present a novel algorithm to solve the Boolean Satisfiability (SAT) problem, using noise-based logic (NBL). Contrary to what the name may suggest, NBL is not a random/fuzzy logic system. In fact, it is a completely deterministic logic system. A key property of NBL is that it allows us to apply a sup...
[ { "created": "Tue, 4 Oct 2011 00:32:40 GMT", "version": "v1" } ]
2011-10-05
[ [ "Lin", "Pey-Chang Kent", "" ], [ "Mandal", "Ayan", "" ], [ "Khatri", "Sunil P", "" ] ]
In this paper, we present a novel algorithm to solve the Boolean Satisfiability (SAT) problem, using noise-based logic (NBL). Contrary to what the name may suggest, NBL is not a random/fuzzy logic system. In fact, it is a completely deterministic logic system. A key property of NBL is that it allows us to apply a super...
2310.20327
Guoliang Lin
Guoliang Lin, Hanjiang Lai, Yan Pan, Jian Yin
Improving Entropy-Based Test-Time Adaptation from a Clustering View
null
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Domain shift is a common problem in the realistic world, where training data and test data follow different data distributions. To deal with this problem, fully test-time adaptation (TTA) leverages the unlabeled data encountered during test time to adapt the model. In particular, entropy-based TTA (EBTTA) methods, wh...
[ { "created": "Tue, 31 Oct 2023 10:10:48 GMT", "version": "v1" }, { "created": "Mon, 6 Nov 2023 14:47:30 GMT", "version": "v2" }, { "created": "Tue, 7 Nov 2023 04:03:13 GMT", "version": "v3" }, { "created": "Sat, 18 Nov 2023 06:14:05 GMT", "version": "v4" }, { "cre...
2024-04-29
[ [ "Lin", "Guoliang", "" ], [ "Lai", "Hanjiang", "" ], [ "Pan", "Yan", "" ], [ "Yin", "Jian", "" ] ]
Domain shift is a common problem in the realistic world, where training data and test data follow different data distributions. To deal with this problem, fully test-time adaptation (TTA) leverages the unlabeled data encountered during test time to adapt the model. In particular, entropy-based TTA (EBTTA) methods, whic...
1311.6883
Chaitanya Swamy
Hadi Minooei and Chaitanya Swamy
Near-Optimal and Robust Mechanism Design for Covering Problems with Correlated Players
Major changes compared to the previous version. Please consult this version
null
null
null
cs.GT cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the problem of designing incentive-compatible, ex-post individually rational (IR) mechanisms for covering problems in the Bayesian setting, where players' types are drawn from an underlying distribution and may be correlated, and the goal is to minimize the expected total payment made by the mechanism. We...
[ { "created": "Wed, 27 Nov 2013 07:20:32 GMT", "version": "v1" }, { "created": "Thu, 29 Sep 2016 04:57:27 GMT", "version": "v2" } ]
2016-09-30
[ [ "Minooei", "Hadi", "" ], [ "Swamy", "Chaitanya", "" ] ]
We consider the problem of designing incentive-compatible, ex-post individually rational (IR) mechanisms for covering problems in the Bayesian setting, where players' types are drawn from an underlying distribution and may be correlated, and the goal is to minimize the expected total payment made by the mechanism. We f...
2006.11569
Haiping Huang
Jianwen Zhou, and Haiping Huang
Weakly-correlated synapses promote dimension reduction in deep neural networks
21 pages, 8 figures
Phys. Rev. E 103, 012315 (2021)
10.1103/PhysRevE.103.012315
null
cs.LG cond-mat.dis-nn cond-mat.stat-mech q-bio.NC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
By controlling synaptic and neural correlations, deep learning has achieved empirical successes in improving classification performances. How synaptic correlations affect neural correlations to produce disentangled hidden representations remains elusive. Here we propose a simplified model of dimension reduction, taki...
[ { "created": "Sat, 20 Jun 2020 13:11:37 GMT", "version": "v1" } ]
2021-02-02
[ [ "Zhou", "Jianwen", "" ], [ "Huang", "Haiping", "" ] ]
By controlling synaptic and neural correlations, deep learning has achieved empirical successes in improving classification performances. How synaptic correlations affect neural correlations to produce disentangled hidden representations remains elusive. Here we propose a simplified model of dimension reduction, taking...
2303.10325
Guandong Li
Guandong Li, Xian Yang
Smartbanner: Intelligent banner design framework that strikes a balance between creative freedom and design rules
null
Published 23 November 2022 Art Multimedia Tools and Applications
10.1007/s11042-022-14138-7
null
cs.HC cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Companies use banners extensively to promote their products, and the intelligent automatic synthesis of banners is a challenging event. Under the premise of inputting only a small amount of information such as product, text and size, it can synthesize styles with high freedom and richness, but at the same time, it mu...
[ { "created": "Sat, 18 Mar 2023 04:01:53 GMT", "version": "v1" } ]
2023-03-21
[ [ "Li", "Guandong", "" ], [ "Yang", "Xian", "" ] ]
Companies use banners extensively to promote their products, and the intelligent automatic synthesis of banners is a challenging event. Under the premise of inputting only a small amount of information such as product, text and size, it can synthesize styles with high freedom and richness, but at the same time, it must...
2112.02082
Zheng Dong
Zheng Dong, Ke Xu, Ziheng Duan, Hujun Bao, Weiwei Xu, Rynson W.H. Lau
Geometry-aware Two-scale PIFu Representation for Human Reconstruction
Accepted by NeurIPS 2022. 20 pages, 20 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Although PIFu-based 3D human reconstruction methods are popular, the quality of recovered details is still unsatisfactory. In a sparse (e.g., 3 RGBD sensors) capture setting, the depth noise is typically amplified in the PIFu representation, resulting in flat facial surfaces and geometry-fallible bodies. In this pape...
[ { "created": "Fri, 3 Dec 2021 18:46:49 GMT", "version": "v1" }, { "created": "Tue, 27 Sep 2022 08:30:11 GMT", "version": "v2" } ]
2022-09-28
[ [ "Dong", "Zheng", "" ], [ "Xu", "Ke", "" ], [ "Duan", "Ziheng", "" ], [ "Bao", "Hujun", "" ], [ "Xu", "Weiwei", "" ], [ "Lau", "Rynson W. H.", "" ] ]
Although PIFu-based 3D human reconstruction methods are popular, the quality of recovered details is still unsatisfactory. In a sparse (e.g., 3 RGBD sensors) capture setting, the depth noise is typically amplified in the PIFu representation, resulting in flat facial surfaces and geometry-fallible bodies. In this paper,...
2402.14269
Jihyeok Jung
Jihyeok Jung, Chan-Oi Song, Deok-Joo Lee, Kiho Yoon
Optimal Mechanism in a Dynamic Stochastic Knapsack Environment
8 pages, 1 figures, presented in AAAI 38th conference on Artificial Intelligence
null
null
null
cs.GT econ.GN q-fin.EC
http://creativecommons.org/licenses/by/4.0/
This study introduces an optimal mechanism in a dynamic stochastic knapsack environment. The model features a single seller who has a fixed quantity of a perfectly divisible item. Impatient buyers with a piece-wise linear utility function arrive randomly and they report the two-dimensional private information: margin...
[ { "created": "Thu, 22 Feb 2024 04:08:31 GMT", "version": "v1" } ]
2024-02-23
[ [ "Jung", "Jihyeok", "" ], [ "Song", "Chan-Oi", "" ], [ "Lee", "Deok-Joo", "" ], [ "Yoon", "Kiho", "" ] ]
This study introduces an optimal mechanism in a dynamic stochastic knapsack environment. The model features a single seller who has a fixed quantity of a perfectly divisible item. Impatient buyers with a piece-wise linear utility function arrive randomly and they report the two-dimensional private information: marginal...
1806.01353
Scott Lee
Scott Lee
Natural Language Generation for Electronic Health Records
null
null
10.1038/s41746-018-0070-0
null
cs.CL cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A variety of methods existing for generating synthetic electronic health records (EHRs), but they are not capable of generating unstructured text, like emergency department (ED) chief complaints, history of present illness or progress notes. Here, we use the encoder-decoder model, a deep learning algorithm that featu...
[ { "created": "Fri, 1 Jun 2018 12:01:48 GMT", "version": "v1" } ]
2018-12-18
[ [ "Lee", "Scott", "" ] ]
A variety of methods existing for generating synthetic electronic health records (EHRs), but they are not capable of generating unstructured text, like emergency department (ED) chief complaints, history of present illness or progress notes. Here, we use the encoder-decoder model, a deep learning algorithm that feature...
1412.6564
Chris J. Maddison
Chris J. Maddison, Aja Huang, Ilya Sutskever, David Silver
Move Evaluation in Go Using Deep Convolutional Neural Networks
Minor edits and included captures in Figure 2
null
null
null
cs.LG cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The game of Go is more challenging than other board games, due to the difficulty of constructing a position or move evaluation function. In this paper we investigate whether deep convolutional networks can be used to directly represent and learn this knowledge. We train a large 12-layer convolutional neural network b...
[ { "created": "Sat, 20 Dec 2014 00:31:30 GMT", "version": "v1" }, { "created": "Fri, 10 Apr 2015 19:03:34 GMT", "version": "v2" } ]
2015-04-13
[ [ "Maddison", "Chris J.", "" ], [ "Huang", "Aja", "" ], [ "Sutskever", "Ilya", "" ], [ "Silver", "David", "" ] ]
The game of Go is more challenging than other board games, due to the difficulty of constructing a position or move evaluation function. In this paper we investigate whether deep convolutional networks can be used to directly represent and learn this knowledge. We train a large 12-layer convolutional neural network by ...
2108.06608
Simon Bultmann
Simon Bultmann, Jan Quenzel and Sven Behnke
Real-Time Multi-Modal Semantic Fusion on Unmanned Aerial Vehicles
Accepted for: 10th European Conference on Mobile Robots (ECMR), Bonn, Germany, September 2021
null
null
null
cs.CV cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Unmanned aerial vehicles (UAVs) equipped with multiple complementary sensors have tremendous potential for fast autonomous or remote-controlled semantic scene analysis, e.g., for disaster examination. In this work, we propose a UAV system for real-time semantic inference and fusion of multiple sensor modalities. Sema...
[ { "created": "Sat, 14 Aug 2021 20:16:08 GMT", "version": "v1" } ]
2021-08-17
[ [ "Bultmann", "Simon", "" ], [ "Quenzel", "Jan", "" ], [ "Behnke", "Sven", "" ] ]
Unmanned aerial vehicles (UAVs) equipped with multiple complementary sensors have tremendous potential for fast autonomous or remote-controlled semantic scene analysis, e.g., for disaster examination. In this work, we propose a UAV system for real-time semantic inference and fusion of multiple sensor modalities. Semant...
1710.08679
Takuma Yamaguchi
Takuma Yamaguchi (1), Kohei Fujita (1 and 2), Tsuyoshi Ichimura (1 and 2), Muneo Hori (1 and 2), Maddegedara Lalith (1 and 2) and Kengo Nakajima (3) ((1) Earthquake Research Institute and Department of Civil Engineering, The University of Tokyo, (2) Advanced Institute for Computational Science, RIKEN, (3) Infor...
Implicit Low-Order Unstructured Finite-Element Multiple Simulation Enhanced by Dense Computation using OpenACC
18 pages, 10 figures, accepted for WACCPD2017
null
null
null
cs.DC cs.MS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we develop a low-order three-dimensional finite-element solver for fast multiple-case crust deformation analysis on GPU-based systems. Based on a high-performance solver designed for massively parallel CPU based systems, we modify the algorithm to reduce random data access, and then insert OpenACC dire...
[ { "created": "Tue, 24 Oct 2017 09:51:31 GMT", "version": "v1" } ]
2017-10-25
[ [ "Yamaguchi", "Takuma", "", "1 and 2" ], [ "Fujita", "Kohei", "", "1 and 2" ], [ "Ichimura", "Tsuyoshi", "", "1 and\n 2" ], [ "Hori", "Muneo", "", "1 and 2" ], [ "Lalith", "Maddegedara", "", "1 and 2" ], [ "Nak...
In this paper, we develop a low-order three-dimensional finite-element solver for fast multiple-case crust deformation analysis on GPU-based systems. Based on a high-performance solver designed for massively parallel CPU based systems, we modify the algorithm to reduce random data access, and then insert OpenACC direct...
2310.04863
Yangze Li
Yangze Li, Fan Yu, Yuhao Liang, Pengcheng Guo, Mohan Shi, Zhihao Du, Shiliang Zhang, Lei Xie
SA-Paraformer: Non-autoregressive End-to-End Speaker-Attributed ASR
null
null
null
null
cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Joint modeling of multi-speaker ASR and speaker diarization has recently shown promising results in speaker-attributed automatic speech recognition (SA-ASR).Although being able to obtain state-of-the-art (SOTA) performance, most of the studies are based on an autoregressive (AR) decoder which generates tokens one-by-...
[ { "created": "Sat, 7 Oct 2023 16:07:42 GMT", "version": "v1" } ]
2023-10-10
[ [ "Li", "Yangze", "" ], [ "Yu", "Fan", "" ], [ "Liang", "Yuhao", "" ], [ "Guo", "Pengcheng", "" ], [ "Shi", "Mohan", "" ], [ "Du", "Zhihao", "" ], [ "Zhang", "Shiliang", "" ], [ "Xie", "Lei", ...
Joint modeling of multi-speaker ASR and speaker diarization has recently shown promising results in speaker-attributed automatic speech recognition (SA-ASR).Although being able to obtain state-of-the-art (SOTA) performance, most of the studies are based on an autoregressive (AR) decoder which generates tokens one-by-on...
2407.12818
Dishank Aggarwal
Dishank Aggarwal, Pushpak Bhattacharyya, Bhaskaran Raman
"I understand why I got this grade": Automatic Short Answer Grading with Feedback
null
null
null
null
cs.CL cs.AI cs.CY
http://creativecommons.org/licenses/by/4.0/
The demand for efficient and accurate assessment methods has intensified as education systems transition to digital platforms. Providing feedback is essential in educational settings and goes beyond simply conveying marks as it justifies the assigned marks. In this context, we present a significant advancement in aut...
[ { "created": "Sun, 30 Jun 2024 15:42:18 GMT", "version": "v1" } ]
2024-07-19
[ [ "Aggarwal", "Dishank", "" ], [ "Bhattacharyya", "Pushpak", "" ], [ "Raman", "Bhaskaran", "" ] ]
The demand for efficient and accurate assessment methods has intensified as education systems transition to digital platforms. Providing feedback is essential in educational settings and goes beyond simply conveying marks as it justifies the assigned marks. In this context, we present a significant advancement in autom...
2312.03420
Yingyan Xu
Yingyan Xu, Prashanth Chandran, Sebastian Weiss, Markus Gross, Gaspard Zoss, Derek Bradley
Artist-Friendly Relightable and Animatable Neural Heads
null
null
null
null
cs.CV cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
An increasingly common approach for creating photo-realistic digital avatars is through the use of volumetric neural fields. The original neural radiance field (NeRF) allowed for impressive novel view synthesis of static heads when trained on a set of multi-view images, and follow up methods showed that these neural ...
[ { "created": "Wed, 6 Dec 2023 11:06:46 GMT", "version": "v1" } ]
2023-12-07
[ [ "Xu", "Yingyan", "" ], [ "Chandran", "Prashanth", "" ], [ "Weiss", "Sebastian", "" ], [ "Gross", "Markus", "" ], [ "Zoss", "Gaspard", "" ], [ "Bradley", "Derek", "" ] ]
An increasingly common approach for creating photo-realistic digital avatars is through the use of volumetric neural fields. The original neural radiance field (NeRF) allowed for impressive novel view synthesis of static heads when trained on a set of multi-view images, and follow up methods showed that these neural re...
2205.06773
Daniel Casini
Daniel Casini, Paolo Pazzaglia, Alessandro Biondi, Marco Di Natale
Optimized Partitioning and Priority Assignment of Real-Time Applications on Heterogeneous Platforms with Hardware Acceleration
null
Journal of Systems Architecture, Volume 124, March 2022, 102416
10.1016/j.sysarc.2022.102416
null
cs.DC
http://creativecommons.org/licenses/by-nc-nd/4.0/
Hardware accelerators, such as those based on GPUs and FPGAs, offer an excellent opportunity to efficiently parallelize functionalities. Recently, modern embedded platforms started being equipped with such accelerators, resulting in a compelling choice for emerging, highly computational intensive workloads, like thos...
[ { "created": "Tue, 19 Apr 2022 15:26:52 GMT", "version": "v1" } ]
2022-05-16
[ [ "Casini", "Daniel", "" ], [ "Pazzaglia", "Paolo", "" ], [ "Biondi", "Alessandro", "" ], [ "Di Natale", "Marco", "" ] ]
Hardware accelerators, such as those based on GPUs and FPGAs, offer an excellent opportunity to efficiently parallelize functionalities. Recently, modern embedded platforms started being equipped with such accelerators, resulting in a compelling choice for emerging, highly computational intensive workloads, like those ...
2105.06270
Chen-Chen Fan
Chen-Chen Fan, Haiqun Xie, Liang Peng, Hongjun Yang, Zhen-Liang Ni, Guan'an Wang, Yan-Jie Zhou, Sheng Chen, Zhijie Fang, Shuyun Huang, Zeng-Guang Hou
Group Feature Learning and Domain Adversarial Neural Network for aMCI Diagnosis System Based on EEG
This paper has been accepted by 2021 International Conference on Robotics and Automation (ICRA 2021)
null
null
null
cs.LG cs.RO eess.SP
http://creativecommons.org/licenses/by/4.0/
Medical diagnostic robot systems have been paid more and more attention due to its objectivity and accuracy. The diagnosis of mild cognitive impairment (MCI) is considered an effective means to prevent Alzheimer's disease (AD). Doctors diagnose MCI based on various clinical examinations, which are expensive and the d...
[ { "created": "Wed, 28 Apr 2021 08:08:32 GMT", "version": "v1" } ]
2021-05-14
[ [ "Fan", "Chen-Chen", "" ], [ "Xie", "Haiqun", "" ], [ "Peng", "Liang", "" ], [ "Yang", "Hongjun", "" ], [ "Ni", "Zhen-Liang", "" ], [ "Wang", "Guan'an", "" ], [ "Zhou", "Yan-Jie", "" ], [ "Chen", ...
Medical diagnostic robot systems have been paid more and more attention due to its objectivity and accuracy. The diagnosis of mild cognitive impairment (MCI) is considered an effective means to prevent Alzheimer's disease (AD). Doctors diagnose MCI based on various clinical examinations, which are expensive and the dia...
1301.1465
Carlo Condo
Carlo Condo and Amer Baghdadi and Guido Masera
A joint communication and application simulator for NoC-based SoCs
Withdrawn, due to extended and revised version being published
null
null
null
cs.AR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
NoCs have become a widespread paradigm in the system-on-chip design world, not only for multi-purpose SoCs, but also for application-specific ICs. The common approach in the NoC design world is to separate the design of the interconnection from the design of the processing elements: this is well suited for a large nu...
[ { "created": "Tue, 8 Jan 2013 09:59:28 GMT", "version": "v1" }, { "created": "Fri, 31 May 2013 11:09:16 GMT", "version": "v2" } ]
2013-06-03
[ [ "Condo", "Carlo", "" ], [ "Baghdadi", "Amer", "" ], [ "Masera", "Guido", "" ] ]
NoCs have become a widespread paradigm in the system-on-chip design world, not only for multi-purpose SoCs, but also for application-specific ICs. The common approach in the NoC design world is to separate the design of the interconnection from the design of the processing elements: this is well suited for a large numb...
1505.01617
Dengji Zhao
Dengji Zhao and Sarvapali D. Ramchurn and Nicholas R. Jennings
Incentive Design for Ridesharing with Uncertainty
13 pages
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider a ridesharing problem where there is uncertainty about the completion of trips from both drivers and riders. Specifically, we study ridesharing mechanisms that aim to incentivize commuters to reveal their valuation for trips and their probability of undertaking their trips. Due to the interdependence crea...
[ { "created": "Thu, 7 May 2015 08:14:25 GMT", "version": "v1" } ]
2015-05-08
[ [ "Zhao", "Dengji", "" ], [ "Ramchurn", "Sarvapali D.", "" ], [ "Jennings", "Nicholas R.", "" ] ]
We consider a ridesharing problem where there is uncertainty about the completion of trips from both drivers and riders. Specifically, we study ridesharing mechanisms that aim to incentivize commuters to reveal their valuation for trips and their probability of undertaking their trips. Due to the interdependence create...
2304.08745
Kasper Green Larsen
Kasper Green Larsen, Huacheng Yu
Super-Logarithmic Lower Bounds for Dynamic Graph Problems
null
null
null
null
cs.DS cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work, we prove a $\tilde{\Omega}(\lg^{3/2} n )$ unconditional lower bound on the maximum of the query time and update time for dynamic data structures supporting reachability queries in $n$-node directed acyclic graphs under edge insertions. This is the first super-logarithmic lower bound for any natural grap...
[ { "created": "Tue, 18 Apr 2023 05:46:47 GMT", "version": "v1" } ]
2023-04-19
[ [ "Larsen", "Kasper Green", "" ], [ "Yu", "Huacheng", "" ] ]
In this work, we prove a $\tilde{\Omega}(\lg^{3/2} n )$ unconditional lower bound on the maximum of the query time and update time for dynamic data structures supporting reachability queries in $n$-node directed acyclic graphs under edge insertions. This is the first super-logarithmic lower bound for any natural graph ...
1804.00410
Wen-Cheng Chen
Wen-Cheng Chen, Chien-Wen Chen, Min-Chun Hu
SyncGAN: Synchronize the Latent Space of Cross-modal Generative Adversarial Networks
9 pages, Part of this work is accepted by IEEE International Conference on Multimedia Expo 2018
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Generative adversarial network (GAN) has achieved impressive success on cross-domain generation, but it faces difficulty in cross-modal generation due to the lack of a common distribution between heterogeneous data. Most existing methods of conditional based cross-modal GANs adopt the strategy of one-directional tran...
[ { "created": "Mon, 2 Apr 2018 06:27:50 GMT", "version": "v1" } ]
2018-04-03
[ [ "Chen", "Wen-Cheng", "" ], [ "Chen", "Chien-Wen", "" ], [ "Hu", "Min-Chun", "" ] ]
Generative adversarial network (GAN) has achieved impressive success on cross-domain generation, but it faces difficulty in cross-modal generation due to the lack of a common distribution between heterogeneous data. Most existing methods of conditional based cross-modal GANs adopt the strategy of one-directional transf...
2408.00327
Yun-Chih Chen
Yun-Chih Chen, Yuan-Hao Chang, Tei-Wei Kuo
Search-in-Memory (SiM): Reliable, Versatile, and Efficient Data Matching in SSD's NAND Flash Memory Chip for Data Indexing Acceleration
This paper has been accepted for presentation at the The International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS) in September, 2024. An extended abstract of this paper was presented in Design, Automation & Test in Europe Conference & Exhibition (DATE), 2024
null
null
null
cs.AR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
To index the increasing volume of data, modern data indexes are typically stored on SSDs and cached in DRAM. However, searching such an index has resulted in significant I/O traffic due to limited access locality and inefficient cache utilization. At the heart of index searching is the operation of filtering through ...
[ { "created": "Thu, 1 Aug 2024 07:00:18 GMT", "version": "v1" }, { "created": "Fri, 2 Aug 2024 07:37:51 GMT", "version": "v2" } ]
2024-08-05
[ [ "Chen", "Yun-Chih", "" ], [ "Chang", "Yuan-Hao", "" ], [ "Kuo", "Tei-Wei", "" ] ]
To index the increasing volume of data, modern data indexes are typically stored on SSDs and cached in DRAM. However, searching such an index has resulted in significant I/O traffic due to limited access locality and inefficient cache utilization. At the heart of index searching is the operation of filtering through va...
2310.17471
Zhiheng Guo
Xiang Chen, Zhiheng Guo, Xijun Wang, Howard H. Yang, Chenyuan Feng, Junshen Su, Sihui Zheng, Tony Q. S. Quek
Foundation Model Based Native AI Framework in 6G with Cloud-Edge-End Collaboration
8 pages, 4 figures, 1 table
null
null
null
cs.IT cs.DC cs.LG cs.NI eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Future wireless communication networks are in a position to move beyond data-centric, device-oriented connectivity and offer intelligent, immersive experiences based on task-oriented connections, especially in the context of the thriving development of pre-trained foundation models (PFM) and the evolving vision of 6G...
[ { "created": "Thu, 26 Oct 2023 15:19:40 GMT", "version": "v1" } ]
2023-10-27
[ [ "Chen", "Xiang", "" ], [ "Guo", "Zhiheng", "" ], [ "Wang", "Xijun", "" ], [ "Yang", "Howard H.", "" ], [ "Feng", "Chenyuan", "" ], [ "Su", "Junshen", "" ], [ "Zheng", "Sihui", "" ], [ "Quek", "T...
Future wireless communication networks are in a position to move beyond data-centric, device-oriented connectivity and offer intelligent, immersive experiences based on task-oriented connections, especially in the context of the thriving development of pre-trained foundation models (PFM) and the evolving vision of 6G n...
1710.03774
Hang Ma
Hang Ma, Sven Koenig
AI Buzzwords Explained: Multi-Agent Path Finding (MAPF)
null
null
10.1145/3137574.3137579
null
cs.AI cs.MA cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Explanation of the hot topic "multi-agent path finding".
[ { "created": "Tue, 10 Oct 2017 18:24:34 GMT", "version": "v1" }, { "created": "Tue, 17 Oct 2017 00:21:44 GMT", "version": "v2" } ]
2017-10-18
[ [ "Ma", "Hang", "" ], [ "Koenig", "Sven", "" ] ]
Explanation of the hot topic "multi-agent path finding".