id
stringlengths
9
10
submitter
stringlengths
1
64
authors
stringlengths
4
20.7k
title
stringlengths
4
246
comments
stringlengths
1
523
journal-ref
stringlengths
4
404
doi
stringlengths
11
153
report-no
stringlengths
2
254
categories
stringlengths
5
98
license
stringclasses
9 values
orig_abstract
stringlengths
14
3.35k
versions
listlengths
1
60
update_date
stringlengths
10
10
authors_parsed
listlengths
1
1.35k
abstract
stringlengths
11
3.34k
1807.11836
Jean Pierre Char
Jean Pierre Char
Inferring the ground truth through crowdsourcing
6 pages, 1 figure, Intelligent Systems seminar SS18
null
null
null
cs.LG cs.HC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Universally valid ground truth is almost impossible to obtain or would come at a very high cost. For supervised learning without universally valid ground truth, a recommended approach is applying crowdsourcing: Gathering a large data set annotated by multiple individuals of varying possibly expertise levels and infer...
[ { "created": "Tue, 31 Jul 2018 14:21:32 GMT", "version": "v1" } ]
2018-08-01
[ [ "Char", "Jean Pierre", "" ] ]
Universally valid ground truth is almost impossible to obtain or would come at a very high cost. For supervised learning without universally valid ground truth, a recommended approach is applying crowdsourcing: Gathering a large data set annotated by multiple individuals of varying possibly expertise levels and inferri...
2102.13355
Andreas Liesenfeld
Andreas Liesenfeld, G\'abor Parti, Yu-Yin Hsu, Chu-Ren Huang
Predicting gender and age categories in English conversations using lexical, non-lexical, and turn-taking features
10 pages
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper examines gender and age salience and (stereo)typicality in British English talk with the aim to predict gender and age categories based on lexical, phrasal and turn-taking features. We examine the SpokenBNC, a corpus of around 11.4 million words of British English conversations and identify behavioural dif...
[ { "created": "Fri, 26 Feb 2021 08:23:08 GMT", "version": "v1" } ]
2021-03-01
[ [ "Liesenfeld", "Andreas", "" ], [ "Parti", "Gábor", "" ], [ "Hsu", "Yu-Yin", "" ], [ "Huang", "Chu-Ren", "" ] ]
This paper examines gender and age salience and (stereo)typicality in British English talk with the aim to predict gender and age categories based on lexical, phrasal and turn-taking features. We examine the SpokenBNC, a corpus of around 11.4 million words of British English conversations and identify behavioural diffe...
1804.11088
Wei-Yu Lai
Wei-Yu Lai and Tien-Ruey Hsiang
A Linear-Time Approximation Algorithm for the Orthogonal Terrain Guarding Problem
null
null
null
null
cs.CG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we consider the 1.5-dimensional orthogonal terrain guarding problem. In this problem, we assign an x-monotone chain T because each edge is either horizontal or vertical, and determine the minimal number of vertex guards for all vertices of T. A vertex vi sees a point p on T if the line segment connecti...
[ { "created": "Mon, 30 Apr 2018 09:12:57 GMT", "version": "v1" }, { "created": "Wed, 9 May 2018 09:36:59 GMT", "version": "v2" } ]
2018-05-10
[ [ "Lai", "Wei-Yu", "" ], [ "Hsiang", "Tien-Ruey", "" ] ]
In this paper, we consider the 1.5-dimensional orthogonal terrain guarding problem. In this problem, we assign an x-monotone chain T because each edge is either horizontal or vertical, and determine the minimal number of vertex guards for all vertices of T. A vertex vi sees a point p on T if the line segment connecting...
2005.04177
Jay DeYoung
Jay DeYoung, Eric Lehman, Ben Nye, Iain J. Marshall, Byron C. Wallace
Evidence Inference 2.0: More Data, Better Models
Accepted as workshop paper into BioNLP Updated results from SciBERT to Biomed RoBERTa
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
How do we most effectively treat a disease or condition? Ideally, we could consult a database of evidence gleaned from clinical trials to answer such questions. Unfortunately, no such database exists; clinical trial results are instead disseminated primarily via lengthy natural language articles. Perusing all such ar...
[ { "created": "Fri, 8 May 2020 17:16:35 GMT", "version": "v1" }, { "created": "Thu, 14 May 2020 14:55:33 GMT", "version": "v2" } ]
2020-05-15
[ [ "DeYoung", "Jay", "" ], [ "Lehman", "Eric", "" ], [ "Nye", "Ben", "" ], [ "Marshall", "Iain J.", "" ], [ "Wallace", "Byron C.", "" ] ]
How do we most effectively treat a disease or condition? Ideally, we could consult a database of evidence gleaned from clinical trials to answer such questions. Unfortunately, no such database exists; clinical trial results are instead disseminated primarily via lengthy natural language articles. Perusing all such arti...
2211.16773
Xiao Yu
Xiao Yu, Qingyang Wu, Kun Qian, Zhou Yu
KRLS: Improving End-to-End Response Generation in Task Oriented Dialog with Reinforced Keywords Learning
Accepted at EMNLP 2023
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In task-oriented dialogs (TOD), reinforcement learning (RL) algorithms train a model to directly optimize response for task-related metrics. However, RL needs to perform exploration, which can be time-consuming due to the slow auto-regressive sequence generation process. We investigate an approach to create a more ef...
[ { "created": "Wed, 30 Nov 2022 06:27:46 GMT", "version": "v1" }, { "created": "Tue, 13 Dec 2022 06:56:04 GMT", "version": "v2" }, { "created": "Tue, 20 Dec 2022 05:31:07 GMT", "version": "v3" }, { "created": "Tue, 23 May 2023 04:09:31 GMT", "version": "v4" }, { "c...
2023-10-23
[ [ "Yu", "Xiao", "" ], [ "Wu", "Qingyang", "" ], [ "Qian", "Kun", "" ], [ "Yu", "Zhou", "" ] ]
In task-oriented dialogs (TOD), reinforcement learning (RL) algorithms train a model to directly optimize response for task-related metrics. However, RL needs to perform exploration, which can be time-consuming due to the slow auto-regressive sequence generation process. We investigate an approach to create a more effi...
2104.04040
Paul Beaujean
Paul Beaujean and Florian Sikora and Florian Yger
Scaling up graph homomorphism for classification via sampling
17 pages, 1 figure
null
null
null
cs.LG cs.DS
http://creativecommons.org/licenses/by/4.0/
Feature generation is an open topic of investigation in graph machine learning. In this paper, we study the use of graph homomorphism density features as a scalable alternative to homomorphism numbers which retain similar theoretical properties and ability to take into account inductive bias. For this, we propose a h...
[ { "created": "Thu, 8 Apr 2021 20:25:37 GMT", "version": "v1" } ]
2021-04-12
[ [ "Beaujean", "Paul", "" ], [ "Sikora", "Florian", "" ], [ "Yger", "Florian", "" ] ]
Feature generation is an open topic of investigation in graph machine learning. In this paper, we study the use of graph homomorphism density features as a scalable alternative to homomorphism numbers which retain similar theoretical properties and ability to take into account inductive bias. For this, we propose a hig...
1606.00892
Mary Tate
Jacques Louis Du Preez, Mary Tate and Alireza Nili
Developing a Methodology for Online Service Failure Prevention: Reporting on an Action Design Research Project-in-Progress
ISBN# 978-0-646-95337-3 Presented at the Australasian Conference on Information Systems 2015 (arXiv:1605.01032)
null
null
ACIS/2015/47
cs.CY
http://creativecommons.org/licenses/by-nc-sa/4.0/
The increasing use of online channels for service delivery raises new challenges in service failure prevention. This work-in-progress paper reports on the first phase of an action-design research project to develop a service failure prevention methodology. In this paper we review the literature on online services, fa...
[ { "created": "Sat, 28 May 2016 03:38:17 GMT", "version": "v1" } ]
2016-06-06
[ [ "Preez", "Jacques Louis Du", "" ], [ "Tate", "Mary", "" ], [ "Nili", "Alireza", "" ] ]
The increasing use of online channels for service delivery raises new challenges in service failure prevention. This work-in-progress paper reports on the first phase of an action-design research project to develop a service failure prevention methodology. In this paper we review the literature on online services, fail...
1707.04892
Ahmad Steef
Ahmad Steef, M. N. Shamma, A. Alkhatib
A secure approach for embedding message text on an elliptic curve defined over prime fields, and building 'EC-RSA-ELGamal' Cryptographic System
Elliptic Curve Cryptography, embedding message text on an elliptic curve, RSA Algorithm, https://sites.google.com/site/ijcsis/vol-15-no-6-jun-2017
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a new probabilistic approach to embedding message text on an elliptic curve, by using the concept of the RSA Algorithm and its security, and such approach allows us discovering the message from the point, only according to the security of the RSA Algorithm. By mixing between the concept of this ap...
[ { "created": "Sun, 16 Jul 2017 14:49:36 GMT", "version": "v1" } ]
2017-07-18
[ [ "Steef", "Ahmad", "" ], [ "Shamma", "M. N.", "" ], [ "Alkhatib", "A.", "" ] ]
This paper presents a new probabilistic approach to embedding message text on an elliptic curve, by using the concept of the RSA Algorithm and its security, and such approach allows us discovering the message from the point, only according to the security of the RSA Algorithm. By mixing between the concept of this appr...
2006.04787
Sitan Chen
Sitan Chen, Frederic Koehler, Ankur Moitra, Morris Yau
Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Connections to Evolvability
52 pages, v2: updated references
null
null
null
cs.LG cs.DS math.ST stat.ML stat.TH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we revisit some classic problems on classification under misspecification. In particular, we study the problem of learning halfspaces under Massart noise with rate $\eta$. In a recent work, Diakonikolas, Goulekakis, and Tzamos resolved a long-standing problem by giving the first efficient algorithm for ...
[ { "created": "Mon, 8 Jun 2020 17:59:11 GMT", "version": "v1" }, { "created": "Wed, 20 Sep 2023 14:40:02 GMT", "version": "v2" } ]
2023-09-21
[ [ "Chen", "Sitan", "" ], [ "Koehler", "Frederic", "" ], [ "Moitra", "Ankur", "" ], [ "Yau", "Morris", "" ] ]
In this paper we revisit some classic problems on classification under misspecification. In particular, we study the problem of learning halfspaces under Massart noise with rate $\eta$. In a recent work, Diakonikolas, Goulekakis, and Tzamos resolved a long-standing problem by giving the first efficient algorithm for le...
2407.03877
Daniel P. Szabo
Krist\'of B\'erczi, Tam\'as Kir\'aly, Daniel P. Szabo
Multiway Cuts with a Choice of Representatives
null
null
10.4230/LIPIcs.MFCS.2024.18
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we study several generalizations of multiway cut where the terminals can be chosen as \emph{representatives} from sets of \emph{candidates} $T_1,\ldots,T_q$. In this setting, one is allowed to choose these representatives so that the minimum-weight cut separating these sets \emph{via their representati...
[ { "created": "Thu, 4 Jul 2024 12:14:37 GMT", "version": "v1" } ]
2024-07-08
[ [ "Bérczi", "Kristóf", "" ], [ "Király", "Tamás", "" ], [ "Szabo", "Daniel P.", "" ] ]
In this paper, we study several generalizations of multiway cut where the terminals can be chosen as \emph{representatives} from sets of \emph{candidates} $T_1,\ldots,T_q$. In this setting, one is allowed to choose these representatives so that the minimum-weight cut separating these sets \emph{via their representative...
2405.10845
Jin L.C. Guo
Jin L.C. Guo, Jan-Philipp Stegh\"ofer, Andreas Vogelsang, Jane Cleland-Huang
Natural Language Processing for Requirements Traceability
Book Chapter in the Handbook of Natural Language Processing for Requirements Engineering
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Traceability, the ability to trace relevant software artifacts to support reasoning about the quality of the software and its development process, plays a crucial role in requirements and software engineering, particularly for safety-critical systems. In this chapter, we provide a comprehensive overview of the repres...
[ { "created": "Fri, 17 May 2024 15:17:00 GMT", "version": "v1" } ]
2024-05-20
[ [ "Guo", "Jin L. C.", "" ], [ "Steghöfer", "Jan-Philipp", "" ], [ "Vogelsang", "Andreas", "" ], [ "Cleland-Huang", "Jane", "" ] ]
Traceability, the ability to trace relevant software artifacts to support reasoning about the quality of the software and its development process, plays a crucial role in requirements and software engineering, particularly for safety-critical systems. In this chapter, we provide a comprehensive overview of the represen...
2306.16050
Yao Li
Jie Ning, Jiebao Sun, Yao Li, Zhichang Guo, Wangmeng Zuo
Evaluating Similitude and Robustness of Deep Image Denoising Models via Adversarial Attack
null
null
null
null
cs.CV cs.LG eess.IV
http://creativecommons.org/licenses/by/4.0/
Deep neural networks (DNNs) have shown superior performance comparing to traditional image denoising algorithms. However, DNNs are inevitably vulnerable while facing adversarial attacks. In this paper, we propose an adversarial attack method named denoising-PGD which can successfully attack all the current deep denoi...
[ { "created": "Wed, 28 Jun 2023 09:30:59 GMT", "version": "v1" }, { "created": "Fri, 7 Jul 2023 02:40:02 GMT", "version": "v2" } ]
2023-07-10
[ [ "Ning", "Jie", "" ], [ "Sun", "Jiebao", "" ], [ "Li", "Yao", "" ], [ "Guo", "Zhichang", "" ], [ "Zuo", "Wangmeng", "" ] ]
Deep neural networks (DNNs) have shown superior performance comparing to traditional image denoising algorithms. However, DNNs are inevitably vulnerable while facing adversarial attacks. In this paper, we propose an adversarial attack method named denoising-PGD which can successfully attack all the current deep denoisi...
2209.14426
Kaveh Fathian
Jacqueline Ankenbauer, Kaveh Fathian, Jonathan P. How
View-Invariant Localization using Semantic Objects in Changing Environments
null
null
null
null
cs.RO cs.CV
http://creativecommons.org/licenses/by/4.0/
This paper proposes a novel framework for real-time localization and egomotion tracking of a vehicle in a reference map. The core idea is to map the semantic objects observed by the vehicle and register them to their corresponding objects in the reference map. While several recent works have leveraged semantic inform...
[ { "created": "Wed, 28 Sep 2022 21:26:38 GMT", "version": "v1" } ]
2022-09-30
[ [ "Ankenbauer", "Jacqueline", "" ], [ "Fathian", "Kaveh", "" ], [ "How", "Jonathan P.", "" ] ]
This paper proposes a novel framework for real-time localization and egomotion tracking of a vehicle in a reference map. The core idea is to map the semantic objects observed by the vehicle and register them to their corresponding objects in the reference map. While several recent works have leveraged semantic informat...
1306.3767
Simon Harper
Simon Harper, Tianyi Chen, and Yeliz Yesilada
Controlled Experimentation in Naturalistic Mobile Settings
12 pages, 3 tables
null
null
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Performing controlled user experiments on small devices in naturalistic mobile settings has always proved to be a difficult undertaking for many Human Factors researchers. Difficulties exist, not least, because mimicking natural small device usage suffers from a lack of unobtrusive data to guide experimental design, ...
[ { "created": "Mon, 17 Jun 2013 08:36:11 GMT", "version": "v1" }, { "created": "Tue, 18 Jun 2013 06:57:13 GMT", "version": "v2" } ]
2013-06-19
[ [ "Harper", "Simon", "" ], [ "Chen", "Tianyi", "" ], [ "Yesilada", "Yeliz", "" ] ]
Performing controlled user experiments on small devices in naturalistic mobile settings has always proved to be a difficult undertaking for many Human Factors researchers. Difficulties exist, not least, because mimicking natural small device usage suffers from a lack of unobtrusive data to guide experimental design, an...
1909.05700
Ante Qu
Alejandro M. Castro, Ante Qu, Naveen Kuppuswamy, Alex Alspach, and Michael Sherman
A Transition-Aware Method for the Simulation of Compliant Contact with Regularized Friction
Published in IEEE RA-L and accepted to ICRA 2020. The first two authors contributed equally to this work. Copyright 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media. The supplemental video is available publicly at htt...
in IEEE Robotics and Automation Letters, vol. 5, no. 2, pp. 1859-1866, April 2020
10.1109/LRA.2020.2969933
null
cs.RO cs.NA math.NA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multibody simulation with frictional contact has been a challenging subject of research for the past thirty years. Rigid-body assumptions are commonly used to approximate the physics of contact, and together with Coulomb friction, lead to challenging-to-solve nonlinear complementarity problems (NCP). On the other han...
[ { "created": "Thu, 12 Sep 2019 14:16:23 GMT", "version": "v1" }, { "created": "Tue, 17 Sep 2019 15:16:33 GMT", "version": "v2" }, { "created": "Mon, 20 Apr 2020 00:49:53 GMT", "version": "v3" } ]
2020-04-21
[ [ "Castro", "Alejandro M.", "" ], [ "Qu", "Ante", "" ], [ "Kuppuswamy", "Naveen", "" ], [ "Alspach", "Alex", "" ], [ "Sherman", "Michael", "" ] ]
Multibody simulation with frictional contact has been a challenging subject of research for the past thirty years. Rigid-body assumptions are commonly used to approximate the physics of contact, and together with Coulomb friction, lead to challenging-to-solve nonlinear complementarity problems (NCP). On the other hand,...
2406.07933
Chris Yuhao Liu
Chris Yuhao Liu, Yaxuan Wang, Jeffrey Flanigan, Yang Liu
Large Language Model Unlearning via Embedding-Corrupted Prompts
55 pages, 4 figures, 66 tables
null
null
null
cs.CL cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
Large language models (LLMs) have advanced to encompass extensive knowledge across diverse domains. Yet controlling what a large language model should not know is important for ensuring alignment and thus safe use. However, accurately and efficiently unlearning knowledge from an LLM remains challenging due to the pot...
[ { "created": "Wed, 12 Jun 2024 06:56:20 GMT", "version": "v1" } ]
2024-06-13
[ [ "Liu", "Chris Yuhao", "" ], [ "Wang", "Yaxuan", "" ], [ "Flanigan", "Jeffrey", "" ], [ "Liu", "Yang", "" ] ]
Large language models (LLMs) have advanced to encompass extensive knowledge across diverse domains. Yet controlling what a large language model should not know is important for ensuring alignment and thus safe use. However, accurately and efficiently unlearning knowledge from an LLM remains challenging due to the poten...
1101.0133
Nihar Shah
K. V. Rashmi, Nihar B. Shah, P. Vijay Kumar
Enabling Node Repair in Any Erasure Code for Distributed Storage
IEEE International Symposium on Information Theory (ISIT) 2011 (to be presented)
null
10.1109/ISIT.2011.6033732
null
cs.IT cs.DC cs.NI math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Erasure codes are an efficient means of storing data across a network in comparison to data replication, as they tend to reduce the amount of data stored in the network and offer increased resilience in the presence of node failures. The codes perform poorly though, when repair of a failed node is called for, as they...
[ { "created": "Thu, 30 Dec 2010 19:00:00 GMT", "version": "v1" }, { "created": "Thu, 30 Jun 2011 10:10:00 GMT", "version": "v2" } ]
2016-11-17
[ [ "Rashmi", "K. V.", "" ], [ "Shah", "Nihar B.", "" ], [ "Kumar", "P. Vijay", "" ] ]
Erasure codes are an efficient means of storing data across a network in comparison to data replication, as they tend to reduce the amount of data stored in the network and offer increased resilience in the presence of node failures. The codes perform poorly though, when repair of a failed node is called for, as they t...
2401.17168
Sergey Pupyrev
Amir Ayupov and Maksim Panchenko and Sergey Pupyrev
Stale Profile Matching
ACM SIGPLAN 33rd International Conference on Compiler Construction (CC 2024)
null
null
null
cs.PL cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Profile-guided optimizations rely on profile data for directing compilers to generate optimized code. To achieve the maximum performance boost, profile data needs to be collected on the same version of the binary that is being optimized. In practice however, there is typically a gap between the profile collection and...
[ { "created": "Tue, 30 Jan 2024 16:56:32 GMT", "version": "v1" } ]
2024-01-31
[ [ "Ayupov", "Amir", "" ], [ "Panchenko", "Maksim", "" ], [ "Pupyrev", "Sergey", "" ] ]
Profile-guided optimizations rely on profile data for directing compilers to generate optimized code. To achieve the maximum performance boost, profile data needs to be collected on the same version of the binary that is being optimized. In practice however, there is typically a gap between the profile collection and t...
2011.11860
Yixin Liu
Zhao Li, Yixin Liu, Zhen Zhang, Shirui Pan, Jianliang Gao, Jiajun Bu
Cyclic Label Propagation for Graph Semi-supervised Learning
19 pages, 4 figures
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Graph neural networks (GNNs) have emerged as effective approaches for graph analysis, especially in the scenario of semi-supervised learning. Despite its success, GNN often suffers from over-smoothing and over-fitting problems, which affects its performance on node classification tasks. We analyze that an alternative...
[ { "created": "Tue, 24 Nov 2020 02:55:40 GMT", "version": "v1" } ]
2020-11-25
[ [ "Li", "Zhao", "" ], [ "Liu", "Yixin", "" ], [ "Zhang", "Zhen", "" ], [ "Pan", "Shirui", "" ], [ "Gao", "Jianliang", "" ], [ "Bu", "Jiajun", "" ] ]
Graph neural networks (GNNs) have emerged as effective approaches for graph analysis, especially in the scenario of semi-supervised learning. Despite its success, GNN often suffers from over-smoothing and over-fitting problems, which affects its performance on node classification tasks. We analyze that an alternative m...
1308.3174
Jesse Shore
Benjamin Lubin, Jesse Shore and Vatche Ishakian
Communication Network Design: Balancing Modularity and Mixing via Optimal Graph Spectra
null
null
null
null
cs.SI cs.GT cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
By leveraging information technologies, organizations now have the ability to design their communication networks and crowdsourcing platforms to pursue various performance goals, but existing research on network design does not account for the specific features of social networks, such as the notion of teams. We fill...
[ { "created": "Wed, 14 Aug 2013 16:29:28 GMT", "version": "v1" } ]
2013-08-15
[ [ "Lubin", "Benjamin", "" ], [ "Shore", "Jesse", "" ], [ "Ishakian", "Vatche", "" ] ]
By leveraging information technologies, organizations now have the ability to design their communication networks and crowdsourcing platforms to pursue various performance goals, but existing research on network design does not account for the specific features of social networks, such as the notion of teams. We fill t...
2106.08013
Man Zhou
Man Zhou, Qian Wang (Senior Member, IEEE), Qi Li (Senior Member, IEEE), Peipei Jiang, Jingxiao Yang, Chao Shen (Senior Member, IEEE), Cong Wang (Fellow, IEEE), and Shouhong Ding
Securing Face Liveness Detection Using Unforgeable Lip Motion Patterns
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Face authentication usually utilizes deep learning models to verify users with high recognition accuracy. However, face authentication systems are vulnerable to various attacks that cheat the models by manipulating the digital counterparts of human faces. So far, lots of liveness detection schemes have been developed...
[ { "created": "Tue, 15 Jun 2021 09:46:46 GMT", "version": "v1" } ]
2021-06-16
[ [ "Zhou", "Man", "", "Senior Member, IEEE" ], [ "Wang", "Qian", "", "Senior Member, IEEE" ], [ "Li", "Qi", "", "Senior Member,\n IEEE" ], [ "Jiang", "Peipei", "", "Senior Member, IEEE" ], [ "Yang", "Jingxiao", "", "Seni...
Face authentication usually utilizes deep learning models to verify users with high recognition accuracy. However, face authentication systems are vulnerable to various attacks that cheat the models by manipulating the digital counterparts of human faces. So far, lots of liveness detection schemes have been developed t...
2404.17452
Richard Michael
Richard Michael, Simon Bartels, Miguel Gonz\'alez-Duque, Yevgen Zainchkovskyy, Jes Frellsen, S{\o}ren Hauberg, Wouter Boomsma
A Continuous Relaxation for Discrete Bayesian Optimization
null
null
null
null
cs.LG stat.ML
http://creativecommons.org/licenses/by-sa/4.0/
To optimize efficiently over discrete data and with only few available target observations is a challenge in Bayesian optimization. We propose a continuous relaxation of the objective function and show that inference and optimization can be computationally tractable. We consider in particular the optimization domain ...
[ { "created": "Fri, 26 Apr 2024 14:47:40 GMT", "version": "v1" } ]
2024-04-29
[ [ "Michael", "Richard", "" ], [ "Bartels", "Simon", "" ], [ "González-Duque", "Miguel", "" ], [ "Zainchkovskyy", "Yevgen", "" ], [ "Frellsen", "Jes", "" ], [ "Hauberg", "Søren", "" ], [ "Boomsma", "Wouter", "...
To optimize efficiently over discrete data and with only few available target observations is a challenge in Bayesian optimization. We propose a continuous relaxation of the objective function and show that inference and optimization can be computationally tractable. We consider in particular the optimization domain wh...
2309.10801
Diane Uwacu
Diane Uwacu, Ananya Yammanuru, Keerthana Nallamotu, Vasu Chalasani, Marco Morales, Nancy M. Amato
Hierarchical Annotated Skeleton-Guided Tree-based Motion Planning
null
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a hierarchical tree-based motion planning strategy, HAS-RRT, guided by the workspace skeleton to solve motion planning problems in robotics and computational biology. Relying on the information about the connectivity of the workspace and the ranking of available paths in the workspace, the strategy priorit...
[ { "created": "Tue, 19 Sep 2023 17:46:36 GMT", "version": "v1" } ]
2023-09-20
[ [ "Uwacu", "Diane", "" ], [ "Yammanuru", "Ananya", "" ], [ "Nallamotu", "Keerthana", "" ], [ "Chalasani", "Vasu", "" ], [ "Morales", "Marco", "" ], [ "Amato", "Nancy M.", "" ] ]
We present a hierarchical tree-based motion planning strategy, HAS-RRT, guided by the workspace skeleton to solve motion planning problems in robotics and computational biology. Relying on the information about the connectivity of the workspace and the ranking of available paths in the workspace, the strategy prioritiz...
2104.12574
Yang Liu
Yang Liu, Luiz G. Hafemann, Michael Jamieson, Mehrsan Javan
Detecting and Matching Related Objects with One Proposal Multiple Predictions
CVPR workshop 2021
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Tracking players in sports videos is commonly done in a tracking-by-detection framework, first detecting players in each frame, and then performing association over time. While for some sports tracking players is sufficient for game analysis, sports like hockey, tennis and polo may require additional detections, that...
[ { "created": "Fri, 23 Apr 2021 14:37:10 GMT", "version": "v1" } ]
2021-04-27
[ [ "Liu", "Yang", "" ], [ "Hafemann", "Luiz G.", "" ], [ "Jamieson", "Michael", "" ], [ "Javan", "Mehrsan", "" ] ]
Tracking players in sports videos is commonly done in a tracking-by-detection framework, first detecting players in each frame, and then performing association over time. While for some sports tracking players is sufficient for game analysis, sports like hockey, tennis and polo may require additional detections, that i...
2202.11055
Mihir Kulkarni
Paolo De Petris, Huan Nguyen, Mihir Dharmadhikari, Mihir Kulkarni, Nikhil Khedekar, Frank Mascarich, Kostas Alexis
RMF-Owl: A Collision-Tolerant Flying Robot for Autonomous Subterranean Exploration
8 pages, 9 figures. Submitted to the International Conference on Unmanned Aircraft Systems, 2022
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This work presents the design, hardware realization, autonomous exploration and object detection capabilities of RMF-Owl, a new collision-tolerant aerial robot tailored for resilient autonomous subterranean exploration. The system is custom built for underground exploration with focus on collision tolerance, resilien...
[ { "created": "Tue, 22 Feb 2022 17:36:29 GMT", "version": "v1" } ]
2022-02-23
[ [ "De Petris", "Paolo", "" ], [ "Nguyen", "Huan", "" ], [ "Dharmadhikari", "Mihir", "" ], [ "Kulkarni", "Mihir", "" ], [ "Khedekar", "Nikhil", "" ], [ "Mascarich", "Frank", "" ], [ "Alexis", "Kostas", "" ] ...
This work presents the design, hardware realization, autonomous exploration and object detection capabilities of RMF-Owl, a new collision-tolerant aerial robot tailored for resilient autonomous subterranean exploration. The system is custom built for underground exploration with focus on collision tolerance, resilient ...
1601.01228
Maumita Bhattacharya
J. West and Maumita Bhattacharya
Some Experimental Issues in Financial Fraud Detection: An Investigation
J. West and Maumita Bhattacharya. "Some Experimental Issues in Financial Fraud Detection: An Investigation", In the Proceedings of The 5th International Symposium on Cloud and Service Computing (SC2 2015), IEEE CS Press
null
null
null
cs.CR cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Financial fraud detection is an important problem with a number of design aspects to consider. Issues such as algorithm selection and performance analysis will affect the perceived ability of proposed solutions, so for auditors and re-searchers to be able to sufficiently detect financial fraud it is necessary that th...
[ { "created": "Wed, 6 Jan 2016 16:18:43 GMT", "version": "v1" } ]
2016-01-07
[ [ "West", "J.", "" ], [ "Bhattacharya", "Maumita", "" ] ]
Financial fraud detection is an important problem with a number of design aspects to consider. Issues such as algorithm selection and performance analysis will affect the perceived ability of proposed solutions, so for auditors and re-searchers to be able to sufficiently detect financial fraud it is necessary that thes...
1904.00338
Huazhen Fang
Chuan Yan and Huazhen Fang
Observer-Based Distributed Leader-Follower Tracking Control: A New Perspective and Results
International Journal of Control 2019
null
10.1080/00207179.2019.1580770
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Leader-follower tracking control design has received significant attention in recent years due to its important and wide applications. Considering a multi-agent system composed of a leader and multiple followers, this paper proposes and investigates a new perspective into this problem: can we enable a follower to est...
[ { "created": "Sun, 31 Mar 2019 04:25:21 GMT", "version": "v1" } ]
2019-04-02
[ [ "Yan", "Chuan", "" ], [ "Fang", "Huazhen", "" ] ]
Leader-follower tracking control design has received significant attention in recent years due to its important and wide applications. Considering a multi-agent system composed of a leader and multiple followers, this paper proposes and investigates a new perspective into this problem: can we enable a follower to estim...
1903.08969
Sayed Chhattan Shah
Sayed Chhattan Shah
An Energy-Efficient Resource Management System for a Mobile Ad Hoc Cloud
19 Pages
IEEE ACCESS 2019
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently, mobile ad hoc clouds have emerged as a promising technology for mobile cyber-physical system applications, such as mobile intelligent video surveillance and smart homes. Resource management plays a key role in maximizing resource utilization and application performance in mobile ad hoc clouds. Unlike resour...
[ { "created": "Thu, 21 Mar 2019 13:03:53 GMT", "version": "v1" } ]
2019-03-22
[ [ "Shah", "Sayed Chhattan", "" ] ]
Recently, mobile ad hoc clouds have emerged as a promising technology for mobile cyber-physical system applications, such as mobile intelligent video surveillance and smart homes. Resource management plays a key role in maximizing resource utilization and application performance in mobile ad hoc clouds. Unlike resource...
2309.15782
Vipin Gautam
Vipin Gautam, Shitala Prasad and Sharad Sinha
Joint-YODNet: A Light-weight Object Detector for UAVs to Achieve Above 100fps
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Small object detection via UAV (Unmanned Aerial Vehicle) images captured from drones and radar is a complex task with several formidable challenges. This domain encompasses numerous complexities that impede the accurate detection and localization of small objects. To address these challenges, we propose a novel metho...
[ { "created": "Wed, 27 Sep 2023 16:57:04 GMT", "version": "v1" } ]
2023-09-28
[ [ "Gautam", "Vipin", "" ], [ "Prasad", "Shitala", "" ], [ "Sinha", "Sharad", "" ] ]
Small object detection via UAV (Unmanned Aerial Vehicle) images captured from drones and radar is a complex task with several formidable challenges. This domain encompasses numerous complexities that impede the accurate detection and localization of small objects. To address these challenges, we propose a novel method ...
2104.12874
Soo Hyun Ryu
Soo Hyun Ryu and Richard L. Lewis
Accounting for Agreement Phenomena in Sentence Comprehension with Transformer Language Models: Effects of Similarity-based Interference on Surprisal and Attention
CMCL 2021
null
null
null
cs.CL
http://creativecommons.org/licenses/by-nc-nd/4.0/
We advance a novel explanation of similarity-based interference effects in subject-verb and reflexive pronoun agreement processing, grounded in surprisal values computed from a pretrained large-scale Transformer model, GPT-2. Specifically, we show that surprisal of the verb or reflexive pronoun predicts facilitatory ...
[ { "created": "Mon, 26 Apr 2021 20:46:54 GMT", "version": "v1" } ]
2021-04-28
[ [ "Ryu", "Soo Hyun", "" ], [ "Lewis", "Richard L.", "" ] ]
We advance a novel explanation of similarity-based interference effects in subject-verb and reflexive pronoun agreement processing, grounded in surprisal values computed from a pretrained large-scale Transformer model, GPT-2. Specifically, we show that surprisal of the verb or reflexive pronoun predicts facilitatory in...
2009.03586
Aijun Zhang
Zebin Yang and Aijun Zhang
Hyperparameter Optimization via Sequential Uniform Designs
null
null
null
null
cs.LG math.OC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Hyperparameter optimization (HPO) plays a central role in the automated machine learning (AutoML). It is a challenging task as the response surfaces of hyperparameters are generally unknown, hence essentially a global optimization problem. This paper reformulates HPO as a computer experiment and proposes a novel sequ...
[ { "created": "Tue, 8 Sep 2020 08:55:02 GMT", "version": "v1" }, { "created": "Thu, 17 Jun 2021 09:12:26 GMT", "version": "v2" } ]
2021-06-18
[ [ "Yang", "Zebin", "" ], [ "Zhang", "Aijun", "" ] ]
Hyperparameter optimization (HPO) plays a central role in the automated machine learning (AutoML). It is a challenging task as the response surfaces of hyperparameters are generally unknown, hence essentially a global optimization problem. This paper reformulates HPO as a computer experiment and proposes a novel sequen...
2007.05828
Ka-Ho Chow
Ka-Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu
Understanding Object Detection Through An Adversarial Lens
null
null
null
null
cs.CR cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep neural networks based object detection models have revolutionized computer vision and fueled the development of a wide range of visual recognition applications. However, recent studies have revealed that deep object detectors can be compromised under adversarial attacks, causing a victim detector to detect no ob...
[ { "created": "Sat, 11 Jul 2020 18:41:47 GMT", "version": "v1" } ]
2020-07-14
[ [ "Chow", "Ka-Ho", "" ], [ "Liu", "Ling", "" ], [ "Gursoy", "Mehmet Emre", "" ], [ "Truex", "Stacey", "" ], [ "Wei", "Wenqi", "" ], [ "Wu", "Yanzhao", "" ] ]
Deep neural networks based object detection models have revolutionized computer vision and fueled the development of a wide range of visual recognition applications. However, recent studies have revealed that deep object detectors can be compromised under adversarial attacks, causing a victim detector to detect no obje...
2105.01423
Bilal Thonnam Thodi
Bilal Thonnam Thodi, Zaid Saeed Khan, Saif Eddin Jabari and Monica Menendez
Learning Traffic Speed Dynamics from Visualizations
8 pages, 9 figures; Submitted to the 2021 IEEE International Intelligent Transportation Systems Conference (ITSC)
The 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021, pp.1239-1244
10.1109/ITSC48978.2021.9564541
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Space-time visualizations of macroscopic or microscopic traffic variables is a qualitative tool used by traffic engineers to understand and analyze different aspects of road traffic dynamics. We present a deep learning method to learn the macroscopic traffic speed dynamics from these space-time visualizations, and de...
[ { "created": "Tue, 4 May 2021 11:17:43 GMT", "version": "v1" } ]
2022-04-12
[ [ "Thodi", "Bilal Thonnam", "" ], [ "Khan", "Zaid Saeed", "" ], [ "Jabari", "Saif Eddin", "" ], [ "Menendez", "Monica", "" ] ]
Space-time visualizations of macroscopic or microscopic traffic variables is a qualitative tool used by traffic engineers to understand and analyze different aspects of road traffic dynamics. We present a deep learning method to learn the macroscopic traffic speed dynamics from these space-time visualizations, and demo...
1911.12303
Shantanu Chakraborty D.Eng.
Shantanu Chakraborty, Tim Baarslag, Michael Kaisers
Automated Peer-to-peer Negotiation for Energy Contract Settlements in Residential Cooperatives
arXiv admin note: substantial text overlap with arXiv:1807.10978
null
null
null
cs.AI cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents an automated peer-to-peer negotiation strategy for settling energy contracts among prosumers in a Residential Energy Cooperative considering heterogeneity prosumer preferences. The heterogeneity arises from prosumers' evaluation of energy contracts through multiple societal and environmental crite...
[ { "created": "Tue, 26 Nov 2019 02:28:01 GMT", "version": "v1" } ]
2019-11-28
[ [ "Chakraborty", "Shantanu", "" ], [ "Baarslag", "Tim", "" ], [ "Kaisers", "Michael", "" ] ]
This paper presents an automated peer-to-peer negotiation strategy for settling energy contracts among prosumers in a Residential Energy Cooperative considering heterogeneity prosumer preferences. The heterogeneity arises from prosumers' evaluation of energy contracts through multiple societal and environmental criteri...
2102.11530
Kanji Tanaka
Kanji Tanaka
Domain-invariant NBV Planner for Active Cross-domain Self-localization
5 pages, 5 figures, technical report
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Pole-like landmark has received increasing attention as a domain-invariant visual cue for visual robot self-localization across domains (e.g., seasons, times of day, weathers). However, self-localization using pole-like landmarks can be ill-posed for a passive observer, as many viewpoints may not provide any pole-lik...
[ { "created": "Tue, 23 Feb 2021 07:36:45 GMT", "version": "v1" } ]
2021-02-24
[ [ "Tanaka", "Kanji", "" ] ]
Pole-like landmark has received increasing attention as a domain-invariant visual cue for visual robot self-localization across domains (e.g., seasons, times of day, weathers). However, self-localization using pole-like landmarks can be ill-posed for a passive observer, as many viewpoints may not provide any pole-like ...
2212.13245
Roozbeh Aghili
Roozbeh Aghili, Heng Li, Foutse Khomh
Studying the Characteristics of AIOps Projects on GitHub
46 pages, 8 pages of references, 14 figures, 16 tables
null
null
null
cs.SE
http://creativecommons.org/licenses/by/4.0/
Artificial Intelligence for IT Operations (AIOps) leverages AI approaches to handle the massive amount of data generated during the operations of software systems. Prior works have proposed various AIOps solutions to support different tasks in system operations and maintenance, such as anomaly detection. In this stud...
[ { "created": "Mon, 26 Dec 2022 18:24:45 GMT", "version": "v1" }, { "created": "Tue, 5 Sep 2023 22:02:17 GMT", "version": "v2" } ]
2023-09-07
[ [ "Aghili", "Roozbeh", "" ], [ "Li", "Heng", "" ], [ "Khomh", "Foutse", "" ] ]
Artificial Intelligence for IT Operations (AIOps) leverages AI approaches to handle the massive amount of data generated during the operations of software systems. Prior works have proposed various AIOps solutions to support different tasks in system operations and maintenance, such as anomaly detection. In this study,...
2011.07368
Bhaskar Mitra
Bhaskar Mitra, Sebastian Hofstatter, Hamed Zamani and Nick Craswell
Conformer-Kernel with Query Term Independence at TREC 2020 Deep Learning Track
null
null
null
null
cs.IR cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We benchmark Conformer-Kernel models under the strict blind evaluation setting of the TREC 2020 Deep Learning track. In particular, we study the impact of incorporating: (i) Explicit term matching to complement matching based on learned representations (i.e., the "Duet principle"), (ii) query term independence (i.e.,...
[ { "created": "Sat, 14 Nov 2020 19:03:24 GMT", "version": "v1" }, { "created": "Thu, 11 Feb 2021 23:57:45 GMT", "version": "v2" } ]
2021-02-15
[ [ "Mitra", "Bhaskar", "" ], [ "Hofstatter", "Sebastian", "" ], [ "Zamani", "Hamed", "" ], [ "Craswell", "Nick", "" ] ]
We benchmark Conformer-Kernel models under the strict blind evaluation setting of the TREC 2020 Deep Learning track. In particular, we study the impact of incorporating: (i) Explicit term matching to complement matching based on learned representations (i.e., the "Duet principle"), (ii) query term independence (i.e., t...
1505.00157
Yang Huang
Yang Huang and Bruno Clerckx
Joint Wireless Information and Power Transfer for an Autonomous Multiple Antenna Relay System
Accepted to IEEE Communications Letters
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Considering a three-node multiple antenna relay system, this paper proposes a two-phase amplify-and-forward (AF) relaying protocol, which enables the autonomous relay to simultaneously harvest wireless power from the source information signal and from an energy signal conveyed by the destination. We first study this ...
[ { "created": "Fri, 1 May 2015 11:23:30 GMT", "version": "v1" } ]
2015-05-04
[ [ "Huang", "Yang", "" ], [ "Clerckx", "Bruno", "" ] ]
Considering a three-node multiple antenna relay system, this paper proposes a two-phase amplify-and-forward (AF) relaying protocol, which enables the autonomous relay to simultaneously harvest wireless power from the source information signal and from an energy signal conveyed by the destination. We first study this en...
2312.12133
Wooju Lee
Wooju Lee, Dasol Hong, Hyungtae Lim, and Hyun Myung
Object-Aware Domain Generalization for Object Detection
Accepted by AAAI-24. The first two authors contributed equally
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Single-domain generalization (S-DG) aims to generalize a model to unseen environments with a single-source domain. However, most S-DG approaches have been conducted in the field of classification. When these approaches are applied to object detection, the semantic features of some objects can be damaged, which can le...
[ { "created": "Tue, 19 Dec 2023 13:11:35 GMT", "version": "v1" } ]
2023-12-20
[ [ "Lee", "Wooju", "" ], [ "Hong", "Dasol", "" ], [ "Lim", "Hyungtae", "" ], [ "Myung", "Hyun", "" ] ]
Single-domain generalization (S-DG) aims to generalize a model to unseen environments with a single-source domain. However, most S-DG approaches have been conducted in the field of classification. When these approaches are applied to object detection, the semantic features of some objects can be damaged, which can lead...
1708.05847
Patricia Bouyer
Patricia Bouyer, Serge Haddad, Vincent Jug\'e
Unbounded product-form Petri nets
31 pages
null
null
null
cs.PF cs.DM cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Computing steady-state distributions in infinite-state stochastic systems is in general a very dificult task. Product-form Petri nets are those Petri nets for which the steady-state distribution can be described as a natural product corresponding, up to a normalising constant, to an exponentiation of the markings. Ho...
[ { "created": "Sat, 19 Aug 2017 14:06:03 GMT", "version": "v1" } ]
2017-08-22
[ [ "Bouyer", "Patricia", "" ], [ "Haddad", "Serge", "" ], [ "Jugé", "Vincent", "" ] ]
Computing steady-state distributions in infinite-state stochastic systems is in general a very dificult task. Product-form Petri nets are those Petri nets for which the steady-state distribution can be described as a natural product corresponding, up to a normalising constant, to an exponentiation of the markings. Howe...
1608.06132
J\"orn Fischer
J. Fischer, P. Manoonpong, S. Lackner
Reconstructing Neural Parameters and Synapses of arbitrary interconnected Neurons from their Simulated Spiking Activity
6 pages, 7 figures
null
null
null
cs.NE q-bio.NC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
To understand the behavior of a neural circuit it is a presupposition that we have a model of the dynamical system describing this circuit. This model is determined by several parameters, including not only the synaptic weights, but also the parameters of each neuron. Existing works mainly concentrate on either the s...
[ { "created": "Mon, 22 Aug 2016 11:47:18 GMT", "version": "v1" } ]
2016-08-23
[ [ "Fischer", "J.", "" ], [ "Manoonpong", "P.", "" ], [ "Lackner", "S.", "" ] ]
To understand the behavior of a neural circuit it is a presupposition that we have a model of the dynamical system describing this circuit. This model is determined by several parameters, including not only the synaptic weights, but also the parameters of each neuron. Existing works mainly concentrate on either the syn...
2202.03814
Maarten Buyl
Maarten Buyl, Tijl De Bie
Optimal Transport of Classifiers to Fairness
null
null
null
null
cs.LG stat.ML
http://creativecommons.org/licenses/by/4.0/
In past work on fairness in machine learning, the focus has been on forcing the prediction of classifiers to have similar statistical properties for people of different demographics. To reduce the violation of these properties, fairness methods usually simply rescale the classifier scores, ignoring similarities and d...
[ { "created": "Tue, 8 Feb 2022 12:16:24 GMT", "version": "v1" }, { "created": "Tue, 31 May 2022 14:20:06 GMT", "version": "v2" }, { "created": "Tue, 29 Nov 2022 22:11:08 GMT", "version": "v3" } ]
2022-12-02
[ [ "Buyl", "Maarten", "" ], [ "De Bie", "Tijl", "" ] ]
In past work on fairness in machine learning, the focus has been on forcing the prediction of classifiers to have similar statistical properties for people of different demographics. To reduce the violation of these properties, fairness methods usually simply rescale the classifier scores, ignoring similarities and dis...
2010.15665
Noah Goodall
Noah J. Goodall
Machine Ethics and Automated Vehicles
12 pages
In: Meyer G., Beiker S. (eds) Road Vehicle Automation. Lecture Notes in Mobility. Springer, Cham (2014)
10.1007/978-3-319-05990-7_9
null
cs.CY
http://creativecommons.org/licenses/by/4.0/
Road vehicle travel at a reasonable speed involves some risk, even when using computer-controlled driving with failure-free hardware and perfect sensing. A fully-automated vehicle must continuously decide how to allocate this risk without a human driver's oversight. These are ethical decisions, particularly in instan...
[ { "created": "Thu, 29 Oct 2020 15:14:47 GMT", "version": "v1" } ]
2020-10-30
[ [ "Goodall", "Noah J.", "" ] ]
Road vehicle travel at a reasonable speed involves some risk, even when using computer-controlled driving with failure-free hardware and perfect sensing. A fully-automated vehicle must continuously decide how to allocate this risk without a human driver's oversight. These are ethical decisions, particularly in instance...
1603.07779
Thomas Watson
Thomas Watson
Nonnegative Rank vs. Binary Rank
null
Chicago Journal of Theoretical Computer Science 2016, Article 2, pages 1-13
10.4086/cjtcs.2016.002
null
cs.CC cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Motivated by (and using tools from) communication complexity, we investigate the relationship between the following two ranks of a $0$-$1$ matrix: its nonnegative rank and its binary rank (the $\log$ of the latter being the unambiguous nondeterministic communication complexity). We prove that for partial $0$-$1$ matr...
[ { "created": "Thu, 24 Mar 2016 23:21:41 GMT", "version": "v1" } ]
2016-03-28
[ [ "Watson", "Thomas", "" ] ]
Motivated by (and using tools from) communication complexity, we investigate the relationship between the following two ranks of a $0$-$1$ matrix: its nonnegative rank and its binary rank (the $\log$ of the latter being the unambiguous nondeterministic communication complexity). We prove that for partial $0$-$1$ matric...
2012.05901
Jia-Bin Huang
Johannes Kopf, Xuejian Rong, Jia-Bin Huang
Robust Consistent Video Depth Estimation
Project website: https://robust-cvd.github.io/
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
We present an algorithm for estimating consistent dense depth maps and camera poses from a monocular video. We integrate a learning-based depth prior, in the form of a convolutional neural network trained for single-image depth estimation, with geometric optimization, to estimate a smooth camera trajectory as well as...
[ { "created": "Thu, 10 Dec 2020 18:59:48 GMT", "version": "v1" }, { "created": "Tue, 22 Jun 2021 03:33:03 GMT", "version": "v2" } ]
2021-06-23
[ [ "Kopf", "Johannes", "" ], [ "Rong", "Xuejian", "" ], [ "Huang", "Jia-Bin", "" ] ]
We present an algorithm for estimating consistent dense depth maps and camera poses from a monocular video. We integrate a learning-based depth prior, in the form of a convolutional neural network trained for single-image depth estimation, with geometric optimization, to estimate a smooth camera trajectory as well as d...
1410.0478
Subhadip Basu
Nibaran Das, Sandip Pramanik, Subhadip Basu, Punam Kumar Saha, Ram Sarkar, Mahantapas Kundu, Mita Nasipuri
Recognition of Handwritten Bangla Basic Characters and Digits using Convex Hull based Feature Set
null
2009 International Conference on Artificial Intelligence and Pattern Recognition, At Orlando, Florida pp. 380-386
10.13140/2.1.3689.4089
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In dealing with the problem of recognition of handwritten character patterns of varying shapes and sizes, selection of a proper feature set is important to achieve high recognition performance. The current research aims to evaluate the performance of the convex hull based feature set, i.e. 125 features in all compute...
[ { "created": "Thu, 2 Oct 2014 08:26:38 GMT", "version": "v1" } ]
2014-10-03
[ [ "Das", "Nibaran", "" ], [ "Pramanik", "Sandip", "" ], [ "Basu", "Subhadip", "" ], [ "Saha", "Punam Kumar", "" ], [ "Sarkar", "Ram", "" ], [ "Kundu", "Mahantapas", "" ], [ "Nasipuri", "Mita", "" ] ]
In dealing with the problem of recognition of handwritten character patterns of varying shapes and sizes, selection of a proper feature set is important to achieve high recognition performance. The current research aims to evaluate the performance of the convex hull based feature set, i.e. 125 features in all computed ...
1403.6331
P{\aa}l Gr{\o}n{\aa}s Drange
P{\aa}l Gr{\o}n{\aa}s Drange, Markus Sortland Dregi, Pim van 't Hof
On the Computational Complexity of Vertex Integrity and Component Order Connectivity
A preliminary version of this paper already appeared in the conference proceedings of ISAAC 2014
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Weighted Vertex Integrity (wVI) problem takes as input an $n$-vertex graph $G$, a weight function $w:V(G)\to\mathbb{N}$, and an integer $p$. The task is to decide if there exists a set $X\subseteq V(G)$ such that the weight of $X$ plus the weight of a heaviest component of $G-X$ is at most $p$. Among other result...
[ { "created": "Tue, 25 Mar 2014 13:11:09 GMT", "version": "v1" }, { "created": "Thu, 4 Dec 2014 11:32:17 GMT", "version": "v2" } ]
2014-12-05
[ [ "Drange", "Pål Grønås", "" ], [ "Dregi", "Markus Sortland", "" ], [ "Hof", "Pim van 't", "" ] ]
The Weighted Vertex Integrity (wVI) problem takes as input an $n$-vertex graph $G$, a weight function $w:V(G)\to\mathbb{N}$, and an integer $p$. The task is to decide if there exists a set $X\subseteq V(G)$ such that the weight of $X$ plus the weight of a heaviest component of $G-X$ is at most $p$. Among other results,...
2403.05049
Yunpeng Qu
Yunpeng Qu, Kun Yuan, Kai Zhao, Qizhi Xie, Jinhua Hao, Ming Sun and Chao Zhou
XPSR: Cross-modal Priors for Diffusion-based Image Super-Resolution
19 pages, 7 figures; including supplementary material
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Diffusion-based methods, endowed with a formidable generative prior, have received increasing attention in Image Super-Resolution (ISR) recently. However, as low-resolution (LR) images often undergo severe degradation, it is challenging for ISR models to perceive the semantic and degradation information, resulting in...
[ { "created": "Fri, 8 Mar 2024 04:52:22 GMT", "version": "v1" }, { "created": "Fri, 19 Jul 2024 16:31:19 GMT", "version": "v2" } ]
2024-07-22
[ [ "Qu", "Yunpeng", "" ], [ "Yuan", "Kun", "" ], [ "Zhao", "Kai", "" ], [ "Xie", "Qizhi", "" ], [ "Hao", "Jinhua", "" ], [ "Sun", "Ming", "" ], [ "Zhou", "Chao", "" ] ]
Diffusion-based methods, endowed with a formidable generative prior, have received increasing attention in Image Super-Resolution (ISR) recently. However, as low-resolution (LR) images often undergo severe degradation, it is challenging for ISR models to perceive the semantic and degradation information, resulting in r...
2001.11164
Zihan Liu
Zihan Liu, Genta Indra Winata, Samuel Cahyawijaya, Andrea Madotto, Zhaojiang Lin, Pascale Fung
On the Importance of Word Order Information in Cross-lingual Sequence Labeling
Accepted in AAAI-2021
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Word order variances generally exist in different languages. In this paper, we hypothesize that cross-lingual models that fit into the word order of the source language might fail to handle target languages. To verify this hypothesis, we investigate whether making models insensitive to the word order of the source la...
[ { "created": "Thu, 30 Jan 2020 03:35:44 GMT", "version": "v1" }, { "created": "Wed, 26 Feb 2020 12:18:32 GMT", "version": "v2" }, { "created": "Thu, 19 Mar 2020 15:31:19 GMT", "version": "v3" }, { "created": "Tue, 8 Dec 2020 11:04:04 GMT", "version": "v4" } ]
2020-12-09
[ [ "Liu", "Zihan", "" ], [ "Winata", "Genta Indra", "" ], [ "Cahyawijaya", "Samuel", "" ], [ "Madotto", "Andrea", "" ], [ "Lin", "Zhaojiang", "" ], [ "Fung", "Pascale", "" ] ]
Word order variances generally exist in different languages. In this paper, we hypothesize that cross-lingual models that fit into the word order of the source language might fail to handle target languages. To verify this hypothesis, we investigate whether making models insensitive to the word order of the source lang...
2308.13249
Yunzhu Pan
Yunzhu Pan, Nian Li, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Depeng Jin, Yong Li
Learning and Optimization of Implicit Negative Feedback for Industrial Short-video Recommender System
Accepted by CIKM'23
null
10.1145/3583780.3615482
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Short-video recommendation is one of the most important recommendation applications in today's industrial information systems. Compared with other recommendation tasks, the enormous amount of feedback is the most typical characteristic. Specifically, in short-video recommendation, the easiest-to-collect user feedback...
[ { "created": "Fri, 25 Aug 2023 08:54:27 GMT", "version": "v1" }, { "created": "Tue, 5 Mar 2024 11:51:01 GMT", "version": "v2" } ]
2024-03-06
[ [ "Pan", "Yunzhu", "" ], [ "Li", "Nian", "" ], [ "Gao", "Chen", "" ], [ "Chang", "Jianxin", "" ], [ "Niu", "Yanan", "" ], [ "Song", "Yang", "" ], [ "Jin", "Depeng", "" ], [ "Li", "Yong", "" ...
Short-video recommendation is one of the most important recommendation applications in today's industrial information systems. Compared with other recommendation tasks, the enormous amount of feedback is the most typical characteristic. Specifically, in short-video recommendation, the easiest-to-collect user feedback i...
1607.06676
Grasha Jacob Mrs
Grasha Jacob, R. Shenbagavalli, S. Karthika
Detection of surface defects on ceramic tiles based on morphological techniques
9 pages, 11 figures
null
null
null
cs.CV
http://creativecommons.org/publicdomain/zero/1.0/
Ceramic tiles have become very popular and are used in the flooring of offices and shopping malls. As testing the quality of tiles manually in a highly polluted environment in the manufacturing industry is a labor-intensive and time consuming process, analysis is carried out on the tile images. This paper discusses a...
[ { "created": "Thu, 21 Jul 2016 08:25:41 GMT", "version": "v1" } ]
2016-07-25
[ [ "Jacob", "Grasha", "" ], [ "Shenbagavalli", "R.", "" ], [ "Karthika", "S.", "" ] ]
Ceramic tiles have become very popular and are used in the flooring of offices and shopping malls. As testing the quality of tiles manually in a highly polluted environment in the manufacturing industry is a labor-intensive and time consuming process, analysis is carried out on the tile images. This paper discusses an ...
2010.10117
Peter Gangl
Peter Gangl and Stefan K\"othe and Christiane Mellak and Alessio Cesarano and Annette M\"utze
Multi-objective free-form shape optimization of a synchronous reluctance machine
6 pages, 7 figures, proceedings to IGTE Symposium Graz 2020
null
null
null
cs.CE math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper deals with the design optimization of a synchronous reluctance machine to be used in an X-ray tube, where the goal is to maximize the torque, by means of gradient-based free-form shape optimization. The presented approach is based on the mathematical concept of shape derivatives and allows to obtain new mo...
[ { "created": "Tue, 20 Oct 2020 08:16:54 GMT", "version": "v1" } ]
2020-10-21
[ [ "Gangl", "Peter", "" ], [ "Köthe", "Stefan", "" ], [ "Mellak", "Christiane", "" ], [ "Cesarano", "Alessio", "" ], [ "Mütze", "Annette", "" ] ]
This paper deals with the design optimization of a synchronous reluctance machine to be used in an X-ray tube, where the goal is to maximize the torque, by means of gradient-based free-form shape optimization. The presented approach is based on the mathematical concept of shape derivatives and allows to obtain new moto...
1709.08359
Robert Brijder
Robert Brijder, Floris Geerts, Jan Van den Bussche, Timmy Weerwag
On the expressive power of query languages for matrices
21 pages, 3 figures
null
null
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We investigate the expressive power of $\mathsf{MATLANG}$, a formal language for matrix manipulation based on common matrix operations and linear algebra. The language can be extended with the operation $\mathsf{inv}$ of inverting a matrix. In $\mathsf{MATLANG}+\mathsf{inv}$ we can compute the transitive closure of d...
[ { "created": "Mon, 25 Sep 2017 08:05:00 GMT", "version": "v1" } ]
2017-09-26
[ [ "Brijder", "Robert", "" ], [ "Geerts", "Floris", "" ], [ "Bussche", "Jan Van den", "" ], [ "Weerwag", "Timmy", "" ] ]
We investigate the expressive power of $\mathsf{MATLANG}$, a formal language for matrix manipulation based on common matrix operations and linear algebra. The language can be extended with the operation $\mathsf{inv}$ of inverting a matrix. In $\mathsf{MATLANG}+\mathsf{inv}$ we can compute the transitive closure of dir...
2209.04126
Tatsuya Hiraoka
Tatsuya Hiraoka
MaxMatch-Dropout: Subword Regularization for WordPiece
Accepted to appear at COLING2022
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a subword regularization method for WordPiece, which uses a maximum matching algorithm for tokenization. The proposed method, MaxMatch-Dropout, randomly drops words in a search using the maximum matching algorithm. It realizes finetuning with subword regularization for popular pretrained language models su...
[ { "created": "Fri, 9 Sep 2022 05:41:26 GMT", "version": "v1" } ]
2022-09-12
[ [ "Hiraoka", "Tatsuya", "" ] ]
We present a subword regularization method for WordPiece, which uses a maximum matching algorithm for tokenization. The proposed method, MaxMatch-Dropout, randomly drops words in a search using the maximum matching algorithm. It realizes finetuning with subword regularization for popular pretrained language models such...
2206.04992
Xiaoxia Xu
Xiaoxia Xu, Yuanwei Liu, Xidong Mu, Qimei Chen, Hao Jiang, and Zhiguo Ding
Artificial Intelligence Enabled NOMA Towards Next Generation Multiple Access
This article has been accepted by IEEE Wireless Communications Magazine
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This article focuses on the application of artificial intelligence (AI) in non-orthogonal multiple-access (NOMA), which aims to achieve automated, adaptive, and high-efficiency multi-user communications towards next generation multiple access (NGMA). First, the limitations of current scenario-specific multiple-antenn...
[ { "created": "Fri, 10 Jun 2022 10:59:56 GMT", "version": "v1" }, { "created": "Thu, 1 Sep 2022 19:29:03 GMT", "version": "v2" }, { "created": "Tue, 13 Dec 2022 09:28:57 GMT", "version": "v3" } ]
2022-12-14
[ [ "Xu", "Xiaoxia", "" ], [ "Liu", "Yuanwei", "" ], [ "Mu", "Xidong", "" ], [ "Chen", "Qimei", "" ], [ "Jiang", "Hao", "" ], [ "Ding", "Zhiguo", "" ] ]
This article focuses on the application of artificial intelligence (AI) in non-orthogonal multiple-access (NOMA), which aims to achieve automated, adaptive, and high-efficiency multi-user communications towards next generation multiple access (NGMA). First, the limitations of current scenario-specific multiple-antenna ...
1907.01647
Yong Liu Stephen
Yong Liu, Yingtai Xiao, Qiong Wu, Chunyan Miao, Juyong Zhang
Bandit Learning for Diversified Interactive Recommendation
null
null
null
null
cs.IR cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Interactive recommender systems that enable the interactions between users and the recommender system have attracted increasing research attentions. Previous methods mainly focus on optimizing recommendation accuracy. However, they usually ignore the diversity of the recommendation results, thus usually results in un...
[ { "created": "Mon, 1 Jul 2019 03:52:55 GMT", "version": "v1" } ]
2019-07-04
[ [ "Liu", "Yong", "" ], [ "Xiao", "Yingtai", "" ], [ "Wu", "Qiong", "" ], [ "Miao", "Chunyan", "" ], [ "Zhang", "Juyong", "" ] ]
Interactive recommender systems that enable the interactions between users and the recommender system have attracted increasing research attentions. Previous methods mainly focus on optimizing recommendation accuracy. However, they usually ignore the diversity of the recommendation results, thus usually results in unsa...
2107.05328
Xiaofeng Liu
Yinchuan Li, Xiaofeng Liu, Yunfeng Shao, Qing Wang and Yanhui Geng
Structured Directional Pruning via Perturbation Orthogonal Projection
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Structured pruning is an effective compression technique to reduce the computation of neural networks, which is usually achieved by adding perturbations to reduce network parameters at the cost of slightly increasing training loss. A more reasonable approach is to find a sparse minimizer along the flat minimum valley...
[ { "created": "Mon, 12 Jul 2021 11:35:47 GMT", "version": "v1" }, { "created": "Thu, 21 Oct 2021 14:18:35 GMT", "version": "v2" } ]
2021-10-22
[ [ "Li", "Yinchuan", "" ], [ "Liu", "Xiaofeng", "" ], [ "Shao", "Yunfeng", "" ], [ "Wang", "Qing", "" ], [ "Geng", "Yanhui", "" ] ]
Structured pruning is an effective compression technique to reduce the computation of neural networks, which is usually achieved by adding perturbations to reduce network parameters at the cost of slightly increasing training loss. A more reasonable approach is to find a sparse minimizer along the flat minimum valley f...
2406.12769
Xiangming Zhu
Xiangming Zhu, Huayu Deng, Haochen Yuan, Yunbo Wang, Xiaokang Yang
Latent Intuitive Physics: Learning to Transfer Hidden Physics from A 3D Video
Published as a conference paper at ICLR 2024
null
null
null
cs.AI cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce latent intuitive physics, a transfer learning framework for physics simulation that can infer hidden properties of fluids from a single 3D video and simulate the observed fluid in novel scenes. Our key insight is to use latent features drawn from a learnable prior distribution conditioned on the underlyi...
[ { "created": "Tue, 18 Jun 2024 16:37:44 GMT", "version": "v1" } ]
2024-08-06
[ [ "Zhu", "Xiangming", "" ], [ "Deng", "Huayu", "" ], [ "Yuan", "Haochen", "" ], [ "Wang", "Yunbo", "" ], [ "Yang", "Xiaokang", "" ] ]
We introduce latent intuitive physics, a transfer learning framework for physics simulation that can infer hidden properties of fluids from a single 3D video and simulate the observed fluid in novel scenes. Our key insight is to use latent features drawn from a learnable prior distribution conditioned on the underlying...
2308.10649
Pawan Kumar
Sajal Khandelwal, Pawan Kumar, Syed Azeemuddin
Reinforcement Learning Based Sensor Optimization for Bio-markers
7 pages, 4 tables
null
null
null
cs.LG cs.NE eess.SP
http://creativecommons.org/licenses/by/4.0/
Radio frequency (RF) biosensors, in particular those based on inter-digitated capacitors (IDCs), are pivotal in areas like biomedical diagnosis, remote sensing, and wireless communication. Despite their advantages of low cost and easy fabrication, their sensitivity can be hindered by design imperfections, environment...
[ { "created": "Mon, 21 Aug 2023 11:36:54 GMT", "version": "v1" } ]
2023-08-22
[ [ "Khandelwal", "Sajal", "" ], [ "Kumar", "Pawan", "" ], [ "Azeemuddin", "Syed", "" ] ]
Radio frequency (RF) biosensors, in particular those based on inter-digitated capacitors (IDCs), are pivotal in areas like biomedical diagnosis, remote sensing, and wireless communication. Despite their advantages of low cost and easy fabrication, their sensitivity can be hindered by design imperfections, environmental...
2302.01984
Nathan Roll
Nathan Roll, Calbert Graham, Simon Todd
PSST! Prosodic Speech Segmentation with Transformers
5 pages, 3 figures. For associated repository, see https://github.com/Nathan-Roll1/psst
null
10.18653/v1/2023.conll-1.31
null
cs.CL cs.SD eess.AS
http://creativecommons.org/licenses/by/4.0/
Self-attention mechanisms have enabled transformers to achieve superhuman-level performance on many speech-to-text (STT) tasks, yet the challenge of automatic prosodic segmentation has remained unsolved. In this paper we finetune Whisper, a pretrained STT model, to annotate intonation unit (IU) boundaries by repurpos...
[ { "created": "Fri, 3 Feb 2023 20:09:17 GMT", "version": "v1" } ]
2024-03-19
[ [ "Roll", "Nathan", "" ], [ "Graham", "Calbert", "" ], [ "Todd", "Simon", "" ] ]
Self-attention mechanisms have enabled transformers to achieve superhuman-level performance on many speech-to-text (STT) tasks, yet the challenge of automatic prosodic segmentation has remained unsolved. In this paper we finetune Whisper, a pretrained STT model, to annotate intonation unit (IU) boundaries by repurposin...
2004.04686
Niklas K\"uhl
Niklas K\"uhl, Marc Goutier, Robin Hirt, Gerhard Satzger
Machine Learning in Artificial Intelligence: Towards a Common Understanding
Hawaii International Conference on System Sciences (HICSS-52) 2019
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by-nc-sa/4.0/
The application of "machine learning" and "artificial intelligence" has become popular within the last decade. Both terms are frequently used in science and media, sometimes interchangeably, sometimes with different meanings. In this work, we aim to clarify the relationship between these terms and, in particular, to ...
[ { "created": "Fri, 27 Mar 2020 19:09:57 GMT", "version": "v1" } ]
2020-04-10
[ [ "Kühl", "Niklas", "" ], [ "Goutier", "Marc", "" ], [ "Hirt", "Robin", "" ], [ "Satzger", "Gerhard", "" ] ]
The application of "machine learning" and "artificial intelligence" has become popular within the last decade. Both terms are frequently used in science and media, sometimes interchangeably, sometimes with different meanings. In this work, we aim to clarify the relationship between these terms and, in particular, to sp...
2302.11443
Tim Niklas Uhl
Peter Sanders and Tim Niklas Uhl
Engineering a Distributed-Memory Triangle Counting Algorithm
11 pages, 8 figures, to be published in 2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS), St. Petersburg, FL, USA, pp. 702-712
2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
10.1109/IPDPS54959.2023.00076
null
cs.DC cs.DS cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Counting triangles in a graph and incident to each vertex is a fundamental and frequently considered task of graph analysis. We consider how to efficiently do this for huge graphs using massively parallel distributed-memory machines. Unsurprisingly, the main issue is to reduce communication between processors. We ach...
[ { "created": "Wed, 22 Feb 2023 15:26:44 GMT", "version": "v1" }, { "created": "Fri, 21 Jul 2023 11:03:53 GMT", "version": "v2" } ]
2023-07-24
[ [ "Sanders", "Peter", "" ], [ "Uhl", "Tim Niklas", "" ] ]
Counting triangles in a graph and incident to each vertex is a fundamental and frequently considered task of graph analysis. We consider how to efficiently do this for huge graphs using massively parallel distributed-memory machines. Unsurprisingly, the main issue is to reduce communication between processors. We achie...
2303.00284
Yichi Zhang
Yichi Zhang, Zijian Zhu, Hang Su, Jun Zhu, Shibao Zheng, Yuan He, Hui Xue
To Make Yourself Invisible with Adversarial Semantic Contours
11 pages, 7 figures, published in Computer Vision and Image Understanding in 2023
Computer Vision and Image Understanding 230C (2023) 103659
10.1016/j.cviu.2023.103659
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Modern object detectors are vulnerable to adversarial examples, which may bring risks to real-world applications. The sparse attack is an important task which, compared with the popular adversarial perturbation on the whole image, needs to select the potential pixels that is generally regularized by an $\ell_0$-norm ...
[ { "created": "Wed, 1 Mar 2023 07:22:39 GMT", "version": "v1" } ]
2023-03-02
[ [ "Zhang", "Yichi", "" ], [ "Zhu", "Zijian", "" ], [ "Su", "Hang", "" ], [ "Zhu", "Jun", "" ], [ "Zheng", "Shibao", "" ], [ "He", "Yuan", "" ], [ "Xue", "Hui", "" ] ]
Modern object detectors are vulnerable to adversarial examples, which may bring risks to real-world applications. The sparse attack is an important task which, compared with the popular adversarial perturbation on the whole image, needs to select the potential pixels that is generally regularized by an $\ell_0$-norm co...
2308.14029
Zhenghao Liu PhD.
Zhenghao Liu, Sen Mei, Chenyan Xiong, Xiaohua Li, Shi Yu, Zhiyuan Liu, Yu Gu, Ge Yu
Text Matching Improves Sequential Recommendation by Reducing Popularity Biases
Accepted by CIKM 2023
null
null
null
cs.IR cs.AI
http://creativecommons.org/licenses/by/4.0/
This paper proposes Text mAtching based SequenTial rEcommendation model (TASTE), which maps items and users in an embedding space and recommends items by matching their text representations. TASTE verbalizes items and user-item interactions using identifiers and attributes of items. To better characterize user behavi...
[ { "created": "Sun, 27 Aug 2023 07:44:33 GMT", "version": "v1" } ]
2023-08-29
[ [ "Liu", "Zhenghao", "" ], [ "Mei", "Sen", "" ], [ "Xiong", "Chenyan", "" ], [ "Li", "Xiaohua", "" ], [ "Yu", "Shi", "" ], [ "Liu", "Zhiyuan", "" ], [ "Gu", "Yu", "" ], [ "Yu", "Ge", "" ] ]
This paper proposes Text mAtching based SequenTial rEcommendation model (TASTE), which maps items and users in an embedding space and recommends items by matching their text representations. TASTE verbalizes items and user-item interactions using identifiers and attributes of items. To better characterize user behavior...
1204.6445
Heng Guo
Jin-Yi Cai, Heng Guo and Tyson Williams
A Complete Dichotomy Rises from the Capture of Vanishing Signatures
Author accepted manuscript
SIAM J. Comput. 45(5), 1671-1728, 2016
null
null
cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We prove a complexity dichotomy theorem for Holant problems over an arbitrary set of complex-valued symmetric constraint functions F on Boolean variables. This extends and unifies all previous dichotomies for Holant problems on symmetric constraint functions (taking values without a finite modulus). We define and cha...
[ { "created": "Sun, 29 Apr 2012 00:22:39 GMT", "version": "v1" }, { "created": "Mon, 22 Jul 2013 13:42:13 GMT", "version": "v2" }, { "created": "Wed, 10 Jan 2018 13:53:53 GMT", "version": "v3" } ]
2018-01-11
[ [ "Cai", "Jin-Yi", "" ], [ "Guo", "Heng", "" ], [ "Williams", "Tyson", "" ] ]
We prove a complexity dichotomy theorem for Holant problems over an arbitrary set of complex-valued symmetric constraint functions F on Boolean variables. This extends and unifies all previous dichotomies for Holant problems on symmetric constraint functions (taking values without a finite modulus). We define and chara...
1808.03736
Renata Wong
Renata Wong
An Implementation, Empirical Evaluation and Proposed Improvement for Bidirectional Splitting Method for Argumentation Frameworks under Stable Semantics
19 pages
Journal of Artificial Intelligence and Applications, Vol.9, No.4, 2018, pp. 11-29
10.5121/ijaia.2018.9402
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Abstract argumentation frameworks are formal systems that facilitate obtaining conclusions from non-monotonic knowledge systems. Within such a system, an argumentation semantics is defined as a set of arguments with some desired qualities, for example, that the elements are not in conflict with each other. Splitting ...
[ { "created": "Sat, 11 Aug 2018 01:52:57 GMT", "version": "v1" } ]
2018-08-14
[ [ "Wong", "Renata", "" ] ]
Abstract argumentation frameworks are formal systems that facilitate obtaining conclusions from non-monotonic knowledge systems. Within such a system, an argumentation semantics is defined as a set of arguments with some desired qualities, for example, that the elements are not in conflict with each other. Splitting an...
1807.01620
Dominique Duval
Dominique Duval (LJK)
Logical rules as fractions and logics as sketches
null
null
null
null
cs.LO math.CT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this short paper, using category theory, we argue that logical rules can be seen as fractions and logics as limit sketches.
[ { "created": "Wed, 4 Jul 2018 14:44:44 GMT", "version": "v1" } ]
2018-07-05
[ [ "Duval", "Dominique", "", "LJK" ] ]
In this short paper, using category theory, we argue that logical rules can be seen as fractions and logics as limit sketches.
2406.19804
Cheng Peng
Cheng Peng, Rulong Wang, Yong Xiao
Rateless Stochastic Coding for Delay-constrained Semantic Communication
null
null
null
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the problem of joint source-channel coding with distortion and perception constraints from a rateless perspective, the purpose of which is to settle the balance between reliability (distortion/perception) and effectiveness (rate) of transmission over uncertain channels. We find a new finite-blocklength bo...
[ { "created": "Fri, 28 Jun 2024 10:27:06 GMT", "version": "v1" } ]
2024-07-01
[ [ "Peng", "Cheng", "" ], [ "Wang", "Rulong", "" ], [ "Xiao", "Yong", "" ] ]
We consider the problem of joint source-channel coding with distortion and perception constraints from a rateless perspective, the purpose of which is to settle the balance between reliability (distortion/perception) and effectiveness (rate) of transmission over uncertain channels. We find a new finite-blocklength boun...
1902.01107
Boya Di
Boya Di, Lingyang Song, Yonghui Li, Geoffrey Ye Li
TCM-NOMA: Joint Multi-user Codeword Design and Detection in Trellis Coded Modulation based NOMA for Beyond 5G
null
null
10.1109/JSTSP.2019.2899500
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose a novel non-orthogonal multiple access (NOMA) scheme based on trellis-coded modulation (TCM). Different from those in the traditional code-domain NOMA, the incoming data streams of multiple users are jointly coded and mapped to the codewords so as to improve the coding gain of the system wit...
[ { "created": "Mon, 4 Feb 2019 10:13:14 GMT", "version": "v1" } ]
2019-06-26
[ [ "Di", "Boya", "" ], [ "Song", "Lingyang", "" ], [ "Li", "Yonghui", "" ], [ "Li", "Geoffrey Ye", "" ] ]
In this paper, we propose a novel non-orthogonal multiple access (NOMA) scheme based on trellis-coded modulation (TCM). Different from those in the traditional code-domain NOMA, the incoming data streams of multiple users are jointly coded and mapped to the codewords so as to improve the coding gain of the system witho...
1507.00522
Young JIn Chun
Young Jin Chun, Simon L. Cotton, Mazen O. Hasna, Ali Ghrayeb
A Stochastic Geometry Based Approach to Modeling Interference Correlation in Cooperative Relay Networks
Submitted to IEEE Transactions on Wireless Communications
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Future wireless networks are expected to be a convergence of many diverse network technologies and architectures, such as cellular networks, wireless local area networks, sensor networks, and device to device communications. Through cooperation between dissimilar wireless devices, this new combined network topology p...
[ { "created": "Thu, 2 Jul 2015 11:09:19 GMT", "version": "v1" } ]
2015-07-03
[ [ "Chun", "Young Jin", "" ], [ "Cotton", "Simon L.", "" ], [ "Hasna", "Mazen O.", "" ], [ "Ghrayeb", "Ali", "" ] ]
Future wireless networks are expected to be a convergence of many diverse network technologies and architectures, such as cellular networks, wireless local area networks, sensor networks, and device to device communications. Through cooperation between dissimilar wireless devices, this new combined network topology pro...
2209.01252
Jeannie Lee
Emran Poh, Kyrin Liong, Jeannie Lee
Mixed Reality for Mechanical Design and Assembly Planning
null
null
null
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Design for Manufacturing and Assembly (DFMA) is a crucial design stage within the heavy vehicle manufacturing process that involves optimising the order and feasibility of the parts assembly process to reduce manufacturing complexity and overall cost. Existing work has focused on conducting DFMA within virtual enviro...
[ { "created": "Fri, 2 Sep 2022 19:41:29 GMT", "version": "v1" } ]
2022-09-07
[ [ "Poh", "Emran", "" ], [ "Liong", "Kyrin", "" ], [ "Lee", "Jeannie", "" ] ]
Design for Manufacturing and Assembly (DFMA) is a crucial design stage within the heavy vehicle manufacturing process that involves optimising the order and feasibility of the parts assembly process to reduce manufacturing complexity and overall cost. Existing work has focused on conducting DFMA within virtual environm...
2105.14520
Jianfeng Li
Jianfeng Li, Junqiao Zhao, Shuangfu Song, Tiantian Feng
Unsupervised Joint Learning of Depth, Optical Flow, Ego-motion from Video
9 pages, 4 figures
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-nd/4.0/
Estimating geometric elements such as depth, camera motion, and optical flow from images is an important part of the robot's visual perception. We use a joint self-supervised method to estimate the three geometric elements. Depth network, optical flow network and camera motion network are independent of each other bu...
[ { "created": "Sun, 30 May 2021 12:39:48 GMT", "version": "v1" } ]
2021-06-01
[ [ "Li", "Jianfeng", "" ], [ "Zhao", "Junqiao", "" ], [ "Song", "Shuangfu", "" ], [ "Feng", "Tiantian", "" ] ]
Estimating geometric elements such as depth, camera motion, and optical flow from images is an important part of the robot's visual perception. We use a joint self-supervised method to estimate the three geometric elements. Depth network, optical flow network and camera motion network are independent of each other but ...
2012.00302
Masaki Aida
Kakeru Ohki, Ayako Hashizume, Masaki Aida
Independence of the Fundamental Equation of the Oscillation Model on Algebraic Representations: Social Media Echo Chamber Effect
4 pages, no figure, IEICE ICETC 2020. arXiv admin note: substantial text overlap with arXiv:2011.13372
null
null
null
cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the oscillation model that describes the user dynamics of online social networks, it is known that the fundamental equation can explicitly describe the causal relationship between the network structure and user dynamics. The fundamental equation uses algebra that satisfies the anti-commutation relation, and its ma...
[ { "created": "Tue, 1 Dec 2020 06:55:33 GMT", "version": "v1" } ]
2020-12-02
[ [ "Ohki", "Kakeru", "" ], [ "Hashizume", "Ayako", "" ], [ "Aida", "Masaki", "" ] ]
In the oscillation model that describes the user dynamics of online social networks, it is known that the fundamental equation can explicitly describe the causal relationship between the network structure and user dynamics. The fundamental equation uses algebra that satisfies the anti-commutation relation, and its matr...
1601.07157
Robert Merkel
Robert Merkel and James Georgeson
Cloud-Based Distributed Mutation Analysis
12 pages including appendix
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Mutation Testing is a fault-based software testing technique which is too computationally expensive for industrial use. Cloud-based distributed computing clusters, taking advantage of the MapReduce programming paradigm, represent a method by which the long running time can be reduced. In this paper, we describe an ar...
[ { "created": "Tue, 26 Jan 2016 20:35:45 GMT", "version": "v1" }, { "created": "Thu, 28 Jan 2016 03:38:43 GMT", "version": "v2" } ]
2016-01-29
[ [ "Merkel", "Robert", "" ], [ "Georgeson", "James", "" ] ]
Mutation Testing is a fault-based software testing technique which is too computationally expensive for industrial use. Cloud-based distributed computing clusters, taking advantage of the MapReduce programming paradigm, represent a method by which the long running time can be reduced. In this paper, we describe an arch...
1910.11073
Geoffroy Chaussonnet
Geoffroy Chaussonnet, Christian Lieber, Yan Yikang, Wenda Gu, Andreas Bartschat, Markus Reischl, Rainer Koch, Ralf Mikut and Hans-J\"org Bauer
Towards DeepSpray: Using Convolutional Neural Network to post-process Shadowgraphy Images of Liquid Atomization
Technical report, 22 pages, 29 figures
null
10.5445/IR/1000097897/v3
null
cs.CV physics.data-an
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This technical report investigates the potential of Convolutional Neural Networks to post-process images from primary atomization. Three tasks are investigated. First, the detection and segmentation of liquid droplets in degraded optical conditions. Second, the detection of overlapping ellipses and the prediction of ...
[ { "created": "Fri, 11 Oct 2019 03:00:52 GMT", "version": "v1" } ]
2019-10-25
[ [ "Chaussonnet", "Geoffroy", "" ], [ "Lieber", "Christian", "" ], [ "Yikang", "Yan", "" ], [ "Gu", "Wenda", "" ], [ "Bartschat", "Andreas", "" ], [ "Reischl", "Markus", "" ], [ "Koch", "Rainer", "" ], [ ...
This technical report investigates the potential of Convolutional Neural Networks to post-process images from primary atomization. Three tasks are investigated. First, the detection and segmentation of liquid droplets in degraded optical conditions. Second, the detection of overlapping ellipses and the prediction of th...
2208.00902
Yitong Zhang
Yitong Zhang, Sophia Bano, Ann-Sophie Page, Jan Deprest, Danail Stoyanov, Francisco Vasconcelos
Retrieval of surgical phase transitions using reinforcement learning
Accepted by MICCAI 2022
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In minimally invasive surgery, surgical workflow segmentation from video analysis is a well studied topic. The conventional approach defines it as a multi-class classification problem, where individual video frames are attributed a surgical phase label. We introduce a novel reinforcement learning formulation for of...
[ { "created": "Mon, 1 Aug 2022 14:43:15 GMT", "version": "v1" } ]
2022-08-02
[ [ "Zhang", "Yitong", "" ], [ "Bano", "Sophia", "" ], [ "Page", "Ann-Sophie", "" ], [ "Deprest", "Jan", "" ], [ "Stoyanov", "Danail", "" ], [ "Vasconcelos", "Francisco", "" ] ]
In minimally invasive surgery, surgical workflow segmentation from video analysis is a well studied topic. The conventional approach defines it as a multi-class classification problem, where individual video frames are attributed a surgical phase label. We introduce a novel reinforcement learning formulation for offlin...
1903.10885
Kripasindhu Sarkar
Kripasindhu Sarkar, Kiran Varanasi, Didier Stricker
Learning Quadrangulated Patches For 3D Shape Processing
arXiv admin note: substantial text overlap with arXiv:1709.06868
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a system for surface completion and inpainting of 3D shapes using generative models, learnt on local patches. Our method uses a novel encoding of height map based local patches parameterized using 3D mesh quadrangulation of the low resolution input shape. This provides us sufficient amount of local 3D patc...
[ { "created": "Mon, 25 Mar 2019 16:54:59 GMT", "version": "v1" } ]
2019-03-27
[ [ "Sarkar", "Kripasindhu", "" ], [ "Varanasi", "Kiran", "" ], [ "Stricker", "Didier", "" ] ]
We propose a system for surface completion and inpainting of 3D shapes using generative models, learnt on local patches. Our method uses a novel encoding of height map based local patches parameterized using 3D mesh quadrangulation of the low resolution input shape. This provides us sufficient amount of local 3D patche...
1912.11735
Soheil Abbasloo
Soheil Abbasloo, Chen-Yu Yen, H. Jonathan Chao
Wanna Make Your TCP Scheme Great for Cellular Networks? Let Machines Do It for You!
Under Review
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Can we instead of designing just another new TCP, design a TCP \textit{plug-in} which can boost the performance of the existing/future TCP designs in cellular networks? To answer this question, we introduce DeepCC plug-in. DeepCC leverages deep reinforcement learning (DRL), a modern decision-making tool, to steer TCP...
[ { "created": "Thu, 26 Dec 2019 00:49:26 GMT", "version": "v1" }, { "created": "Sat, 4 Jan 2020 22:59:01 GMT", "version": "v2" }, { "created": "Tue, 23 Jun 2020 14:14:04 GMT", "version": "v3" } ]
2020-06-24
[ [ "Abbasloo", "Soheil", "" ], [ "Yen", "Chen-Yu", "" ], [ "Chao", "H. Jonathan", "" ] ]
Can we instead of designing just another new TCP, design a TCP \textit{plug-in} which can boost the performance of the existing/future TCP designs in cellular networks? To answer this question, we introduce DeepCC plug-in. DeepCC leverages deep reinforcement learning (DRL), a modern decision-making tool, to steer TCP t...
1510.07254
Jian-Jia Chen
Jian-Jia Chen
Federated Scheduling Admits No Constant Speedup Factors for Constrained-Deadline DAG Task Systems
in Real-Time Systems Journal 2016
null
10.1007/s11241-016-9255-2
null
cs.DS cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the federated scheduling approaches in multiprocessor systems, a task either 1) is restricted to execute sequentially on a single processor or 2) has exclusive access to the assigned processors. There have been several positive results to conduct good federated scheduling policies, which have constant speedup fact...
[ { "created": "Sun, 25 Oct 2015 14:46:12 GMT", "version": "v1" }, { "created": "Wed, 22 Jun 2016 19:56:30 GMT", "version": "v2" } ]
2016-06-23
[ [ "Chen", "Jian-Jia", "" ] ]
In the federated scheduling approaches in multiprocessor systems, a task either 1) is restricted to execute sequentially on a single processor or 2) has exclusive access to the assigned processors. There have been several positive results to conduct good federated scheduling policies, which have constant speedup factor...
2305.17832
Takahiro Wada
Yujiro Tamura, Takahiro Wada, and Hailong Liu
Generating Visual Information for Motion Sickness Reduction Using a Computational Model Based on SVC Theory
null
2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)
10.1109/ITSC57777.2023.10422244
null
cs.HC q-bio.NC
http://creativecommons.org/licenses/by-nc-nd/4.0/
With the advancements in automated driving, there is concern that motion sickness will increase as non-driving-related tasks increase. Therefore, techniques to reduce motion sickness have drawn much attention. Research studies have attempted to estimate motion sickness using computational models for controlling it. A...
[ { "created": "Mon, 29 May 2023 00:27:25 GMT", "version": "v1" } ]
2024-06-25
[ [ "Tamura", "Yujiro", "" ], [ "Wada", "Takahiro", "" ], [ "Liu", "Hailong", "" ] ]
With the advancements in automated driving, there is concern that motion sickness will increase as non-driving-related tasks increase. Therefore, techniques to reduce motion sickness have drawn much attention. Research studies have attempted to estimate motion sickness using computational models for controlling it. Amo...
2305.09973
Abhranil Chatterjee
Abhranil Chatterjee, Sumanta Ghosh, Rohit Gurjar, Roshan Raj
Border Complexity of Symbolic Determinant under Rank One Restriction
null
null
null
null
cs.CC
http://creativecommons.org/licenses/by-nc-nd/4.0/
VBP is the class of polynomial families that can be computed by the determinant of a symbolic matrix of the form $A_0 + \sum_{i=1}^n A_ix_i$ where the size of each $A_i$ is polynomial in the number of variables (equivalently, computable by polynomial-sized algebraic branching programs (ABP)). A major open problem in ...
[ { "created": "Wed, 17 May 2023 06:12:36 GMT", "version": "v1" } ]
2023-05-18
[ [ "Chatterjee", "Abhranil", "" ], [ "Ghosh", "Sumanta", "" ], [ "Gurjar", "Rohit", "" ], [ "Raj", "Roshan", "" ] ]
VBP is the class of polynomial families that can be computed by the determinant of a symbolic matrix of the form $A_0 + \sum_{i=1}^n A_ix_i$ where the size of each $A_i$ is polynomial in the number of variables (equivalently, computable by polynomial-sized algebraic branching programs (ABP)). A major open problem in ge...
1605.07905
Thomas Riedl
Thomas J. Riedl, Todd P. Coleman and Andrew C. Singer
Timing Channel: Achievable Rate in the Finite Block-Length Regime
Full technical report on the work originally presented at the Information Theory Workshop (ITW) in 2011
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The exponential server timing channel is known to be the simplest, and in some sense canonical, queuing timing channel. The capacity of this infinite-memory channel is known. Here, we discuss practical finite-length restrictions on the codewords and attempt to understand the maximal rate that can be achieved for a ta...
[ { "created": "Wed, 25 May 2016 14:45:19 GMT", "version": "v1" } ]
2016-05-26
[ [ "Riedl", "Thomas J.", "" ], [ "Coleman", "Todd P.", "" ], [ "Singer", "Andrew C.", "" ] ]
The exponential server timing channel is known to be the simplest, and in some sense canonical, queuing timing channel. The capacity of this infinite-memory channel is known. Here, we discuss practical finite-length restrictions on the codewords and attempt to understand the maximal rate that can be achieved for a targ...
0706.0869
Edward Aboufadel
Edward Aboufadel, Timothy Armstrong, Elizabeth Smietana
Position Coding
14 pages, 7 figures
null
null
null
cs.IT math.CO math.IT
null
A position coding pattern is an array of symbols in which subarrays of a certain fixed size appear at most once. So, each subarray uniquely identifies a location in the larger array, which means there is a bijection of some sort from this set of subarrays to a set of coordinates. The key to Fly Pentop Computer paper ...
[ { "created": "Wed, 6 Jun 2007 17:09:21 GMT", "version": "v1" } ]
2007-07-13
[ [ "Aboufadel", "Edward", "" ], [ "Armstrong", "Timothy", "" ], [ "Smietana", "Elizabeth", "" ] ]
A position coding pattern is an array of symbols in which subarrays of a certain fixed size appear at most once. So, each subarray uniquely identifies a location in the larger array, which means there is a bijection of some sort from this set of subarrays to a set of coordinates. The key to Fly Pentop Computer paper an...
2401.17602
Yuelyu Ji
Yuelyu Ji, Zeshui Yu and Yanshan Wang
Assertion Detection Large Language Model In-context Learning LoRA Fine-tuning
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
In this study, we aim to address the task of assertion detection when extracting medical concepts from clinical notes, a key process in clinical natural language processing (NLP). Assertion detection in clinical NLP usually involves identifying assertion types for medical concepts in the clinical text, namely certain...
[ { "created": "Wed, 31 Jan 2024 05:11:00 GMT", "version": "v1" } ]
2024-02-01
[ [ "Ji", "Yuelyu", "" ], [ "Yu", "Zeshui", "" ], [ "Wang", "Yanshan", "" ] ]
In this study, we aim to address the task of assertion detection when extracting medical concepts from clinical notes, a key process in clinical natural language processing (NLP). Assertion detection in clinical NLP usually involves identifying assertion types for medical concepts in the clinical text, namely certainty...
2010.08886
Kinjal Shah
Sourabh Kulkarni, Kinjal Divesh Shah, Nimar Arora, Xiaoyan Wang, Yucen Lily Li, Nazanin Khosravani Tehrani, Michael Tingley, David Noursi, Narjes Torabi, Sepehr Akhavan Masouleh, Eric Lippert, and Erik Meijer
PPL Bench: Evaluation Framework For Probabilistic Programming Languages
6 pages, PROBPROG 2020
null
null
null
cs.PL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce PPL Bench, a new benchmark for evaluating Probabilistic Programming Languages (PPLs) on a variety of statistical models. The benchmark includes data generation and evaluation code for a number of models as well as implementations in some common PPLs. All of the benchmark code and PPL implementations are ...
[ { "created": "Sat, 17 Oct 2020 23:12:23 GMT", "version": "v1" } ]
2020-10-20
[ [ "Kulkarni", "Sourabh", "" ], [ "Shah", "Kinjal Divesh", "" ], [ "Arora", "Nimar", "" ], [ "Wang", "Xiaoyan", "" ], [ "Li", "Yucen Lily", "" ], [ "Tehrani", "Nazanin Khosravani", "" ], [ "Tingley", "Michael", ...
We introduce PPL Bench, a new benchmark for evaluating Probabilistic Programming Languages (PPLs) on a variety of statistical models. The benchmark includes data generation and evaluation code for a number of models as well as implementations in some common PPLs. All of the benchmark code and PPL implementations are av...
2405.10143
Debangshu Banerjee
Debangshu Banerjee, Gagandeep Singh
Relational DNN Verification With Cross Executional Bound Refinement
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
We focus on verifying relational properties defined over deep neural networks (DNNs) such as robustness against universal adversarial perturbations (UAP), certified worst-case hamming distance for binary string classifications, etc. Precise verification of these properties requires reasoning about multiple executions...
[ { "created": "Thu, 16 May 2024 14:35:50 GMT", "version": "v1" } ]
2024-05-17
[ [ "Banerjee", "Debangshu", "" ], [ "Singh", "Gagandeep", "" ] ]
We focus on verifying relational properties defined over deep neural networks (DNNs) such as robustness against universal adversarial perturbations (UAP), certified worst-case hamming distance for binary string classifications, etc. Precise verification of these properties requires reasoning about multiple executions o...
1809.00654
Ravi Shankar Mr
Ravi Shankar, Yamini Chandrakar, Radhika Sinha, Ritesh Kumar Mishra
PEP Analysis of Selective Decode and Forward Protocol over Keyhole Fading
MICRO 2017
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We provide a closed form upper bound formulation for the average pairwise-error probability (PEP) of selective decode and forward (SDF) cooperation protocol for a keyhole (pinhole) channel condition. We have employed orthogonal space-time block-code scheme (OSTBC) in conjunction with multi-antenna (MIMO) technology. ...
[ { "created": "Mon, 3 Sep 2018 16:55:38 GMT", "version": "v1" }, { "created": "Mon, 10 Sep 2018 14:43:01 GMT", "version": "v2" } ]
2018-09-11
[ [ "Shankar", "Ravi", "" ], [ "Chandrakar", "Yamini", "" ], [ "Sinha", "Radhika", "" ], [ "Mishra", "Ritesh Kumar", "" ] ]
We provide a closed form upper bound formulation for the average pairwise-error probability (PEP) of selective decode and forward (SDF) cooperation protocol for a keyhole (pinhole) channel condition. We have employed orthogonal space-time block-code scheme (OSTBC) in conjunction with multi-antenna (MIMO) technology. We...
1702.04642
Zhibin Niu
Dawei Cheng, Zhibin Niu, Yi Tu, Liqing Zhang
Prediction defaults for networked-guarantee loans
6 pages,7 figures
2018 24th International Conference on Pattern Recognition (ICPR)
10.1109/ICPR.2018.8545474
null
cs.CE cs.SI q-fin.GN
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Networked-guarantee loans may cause the systemic risk related concern of the government and banks in China. The prediction of default of enterprise loans is a typical extremely imbalanced prediction problem, and the networked-guarantee make this problem more difficult to solve. Since the guaranteed loan is a debt obl...
[ { "created": "Wed, 15 Feb 2017 15:00:12 GMT", "version": "v1" }, { "created": "Wed, 13 May 2020 10:17:11 GMT", "version": "v2" }, { "created": "Fri, 15 May 2020 07:45:23 GMT", "version": "v3" }, { "created": "Mon, 18 May 2020 08:18:12 GMT", "version": "v4" }, { "c...
2020-06-09
[ [ "Cheng", "Dawei", "" ], [ "Niu", "Zhibin", "" ], [ "Tu", "Yi", "" ], [ "Zhang", "Liqing", "" ] ]
Networked-guarantee loans may cause the systemic risk related concern of the government and banks in China. The prediction of default of enterprise loans is a typical extremely imbalanced prediction problem, and the networked-guarantee make this problem more difficult to solve. Since the guaranteed loan is a debt oblig...
2312.02599
Chuan Huang
Chuan Huang, Gustaf Hendeby, Hassen Fourati, Christophe Prieur, and Isaac Skog
MAINS: A Magnetic Field Aided Inertial Navigation System for Indoor Positioning
fix a missing reference
null
null
null
cs.RO eess.SP
http://creativecommons.org/licenses/by/4.0/
A Magnetic field Aided Inertial Navigation System (MAINS) for indoor navigation is proposed in this paper. MAINS leverages an array of magnetometers to measure spatial variations in the magnetic field, which are then used to estimate the displacement and orientation changes of the system, thereby aiding the inertial ...
[ { "created": "Tue, 5 Dec 2023 09:18:12 GMT", "version": "v1" }, { "created": "Mon, 18 Mar 2024 13:44:22 GMT", "version": "v2" }, { "created": "Tue, 23 Apr 2024 18:22:46 GMT", "version": "v3" } ]
2024-04-25
[ [ "Huang", "Chuan", "" ], [ "Hendeby", "Gustaf", "" ], [ "Fourati", "Hassen", "" ], [ "Prieur", "Christophe", "" ], [ "Skog", "Isaac", "" ] ]
A Magnetic field Aided Inertial Navigation System (MAINS) for indoor navigation is proposed in this paper. MAINS leverages an array of magnetometers to measure spatial variations in the magnetic field, which are then used to estimate the displacement and orientation changes of the system, thereby aiding the inertial na...
2403.19113
Vipula Rawte
Vipula Rawte, S.M Towhidul Islam Tonmoy, Krishnav Rajbangshi, Shravani Nag, Aman Chadha, Amit P. Sheth, Amitava Das
FACTOID: FACtual enTailment fOr hallucInation Detection
null
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
The widespread adoption of Large Language Models (LLMs) has facilitated numerous benefits. However, hallucination is a significant concern. In response, Retrieval Augmented Generation (RAG) has emerged as a highly promising paradigm to improve LLM outputs by grounding them in factual information. RAG relies on textua...
[ { "created": "Thu, 28 Mar 2024 03:09:42 GMT", "version": "v1" } ]
2024-03-29
[ [ "Rawte", "Vipula", "" ], [ "Tonmoy", "S. M Towhidul Islam", "" ], [ "Rajbangshi", "Krishnav", "" ], [ "Nag", "Shravani", "" ], [ "Chadha", "Aman", "" ], [ "Sheth", "Amit P.", "" ], [ "Das", "Amitava", "" ...
The widespread adoption of Large Language Models (LLMs) has facilitated numerous benefits. However, hallucination is a significant concern. In response, Retrieval Augmented Generation (RAG) has emerged as a highly promising paradigm to improve LLM outputs by grounding them in factual information. RAG relies on textual ...
2305.04357
Fabio Massimo Zennaro
Fabio Massimo Zennaro, Paolo Turrini, Theodoros Damoulas
Quantifying Consistency and Information Loss for Causal Abstraction Learning
9 pages, 9 pages appendix, 2 figures, IJCAI 2023
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Structural causal models provide a formalism to express causal relations between variables of interest. Models and variables can represent a system at different levels of abstraction, whereby relations may be coarsened and refined according to the need of a modeller. However, switching between different levels of abs...
[ { "created": "Sun, 7 May 2023 19:10:28 GMT", "version": "v1" } ]
2023-05-09
[ [ "Zennaro", "Fabio Massimo", "" ], [ "Turrini", "Paolo", "" ], [ "Damoulas", "Theodoros", "" ] ]
Structural causal models provide a formalism to express causal relations between variables of interest. Models and variables can represent a system at different levels of abstraction, whereby relations may be coarsened and refined according to the need of a modeller. However, switching between different levels of abstr...
1212.5288
Mahdy Nabaee
Mahdy Nabaee and Fabrice Labeau
Quantized Network Coding for Correlated Sources
Submitted for IEEE Transactions on Signal Processing
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Non-adaptive joint source network coding of correlated sources is discussed in this paper. By studying the information flow in the network, we propose quantized network coding as an alternative for packet forwarding. This technique has both network coding and distributed source coding advantages, simultaneously. Quan...
[ { "created": "Thu, 20 Dec 2012 22:28:43 GMT", "version": "v1" } ]
2012-12-24
[ [ "Nabaee", "Mahdy", "" ], [ "Labeau", "Fabrice", "" ] ]
Non-adaptive joint source network coding of correlated sources is discussed in this paper. By studying the information flow in the network, we propose quantized network coding as an alternative for packet forwarding. This technique has both network coding and distributed source coding advantages, simultaneously. Quanti...
2109.06736
Christian Hansen
Christian Hansen
Sequential Modelling with Applications to Music Recommendation, Fact-Checking, and Speed Reading
PhD Thesis, University of Copenhagen, Faculty of Science
null
null
null
cs.IR cs.AI cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sequential modelling entails making sense of sequential data, which naturally occurs in a wide array of domains. One example is systems that interact with users, log user actions and behaviour, and make recommendations of items of potential interest to users on the basis of their previous interactions. In such cases,...
[ { "created": "Sat, 11 Sep 2021 08:05:48 GMT", "version": "v1" } ]
2021-09-15
[ [ "Hansen", "Christian", "" ] ]
Sequential modelling entails making sense of sequential data, which naturally occurs in a wide array of domains. One example is systems that interact with users, log user actions and behaviour, and make recommendations of items of potential interest to users on the basis of their previous interactions. In such cases, t...
1901.02393
Maryam Negahbani
Suman K. Bera, Deeparnab Chakrabarty, Nicolas J. Flores, Maryam Negahbani
Fair Algorithms for Clustering
null
null
null
null
cs.DS cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the problem of finding low-cost Fair Clusterings in data where each data point may belong to many protected groups. Our work significantly generalizes the seminal work of Chierichetti et.al. (NIPS 2017) as follows. - We allow the user to specify the parameters that define fair representation. More precisel...
[ { "created": "Tue, 8 Jan 2019 16:39:16 GMT", "version": "v1" }, { "created": "Mon, 17 Jun 2019 14:01:05 GMT", "version": "v2" } ]
2019-06-18
[ [ "Bera", "Suman K.", "" ], [ "Chakrabarty", "Deeparnab", "" ], [ "Flores", "Nicolas J.", "" ], [ "Negahbani", "Maryam", "" ] ]
We study the problem of finding low-cost Fair Clusterings in data where each data point may belong to many protected groups. Our work significantly generalizes the seminal work of Chierichetti et.al. (NIPS 2017) as follows. - We allow the user to specify the parameters that define fair representation. More precisely, t...
1503.01868
Yao Wang
Wenfei Cao, Yao Wang, Jian Sun, Deyu Meng, Can Yang, Andrzej Cichocki, Zongben Xu
Total Variation Regularized Tensor RPCA for Background Subtraction from Compressive Measurements
To appear in IEEE TIP
null
10.1109/TIP.2016.2579262
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Background subtraction has been a fundamental and widely studied task in video analysis, with a wide range of applications in video surveillance, teleconferencing and 3D modeling. Recently, motivated by compressive imaging, background subtraction from compressive measurements (BSCM) is becoming an active research tas...
[ { "created": "Fri, 6 Mar 2015 08:00:43 GMT", "version": "v1" }, { "created": "Mon, 9 Mar 2015 03:20:34 GMT", "version": "v2" }, { "created": "Mon, 10 Aug 2015 14:50:48 GMT", "version": "v3" }, { "created": "Sun, 5 Jun 2016 17:46:14 GMT", "version": "v4" } ]
2016-08-24
[ [ "Cao", "Wenfei", "" ], [ "Wang", "Yao", "" ], [ "Sun", "Jian", "" ], [ "Meng", "Deyu", "" ], [ "Yang", "Can", "" ], [ "Cichocki", "Andrzej", "" ], [ "Xu", "Zongben", "" ] ]
Background subtraction has been a fundamental and widely studied task in video analysis, with a wide range of applications in video surveillance, teleconferencing and 3D modeling. Recently, motivated by compressive imaging, background subtraction from compressive measurements (BSCM) is becoming an active research task ...
2105.11541
Qing Ping
Tao Tu, Qing Ping, Govind Thattai, Gokhan Tur, Prem Natarajan
Learning Better Visual Dialog Agents with Pretrained Visual-Linguistic Representation
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-nd/4.0/
GuessWhat?! is a two-player visual dialog guessing game where player A asks a sequence of yes/no questions (Questioner) and makes a final guess (Guesser) about a target object in an image, based on answers from player B (Oracle). Based on this dialog history between the Questioner and the Oracle, a Guesser makes a fi...
[ { "created": "Mon, 24 May 2021 21:09:20 GMT", "version": "v1" } ]
2021-05-26
[ [ "Tu", "Tao", "" ], [ "Ping", "Qing", "" ], [ "Thattai", "Govind", "" ], [ "Tur", "Gokhan", "" ], [ "Natarajan", "Prem", "" ] ]
GuessWhat?! is a two-player visual dialog guessing game where player A asks a sequence of yes/no questions (Questioner) and makes a final guess (Guesser) about a target object in an image, based on answers from player B (Oracle). Based on this dialog history between the Questioner and the Oracle, a Guesser makes a fina...
2406.10935
Ashish Kumar
Ashish Kumar, Daneul Kim, Jaesik Park, Laxmidhar Behera
Pick-or-Mix: Dynamic Channel Sampling for ConvNets
Published in Computer Vision and Pattern Recognition (CVPR 2024)
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Channel pruning approaches for convolutional neural networks (ConvNets) deactivate the channels, statically or dynamically, and require special implementation. In addition, channel squeezing in representative ConvNets is carried out via 1x1 convolutions which dominates a large portion of computations and network para...
[ { "created": "Sun, 16 Jun 2024 13:33:09 GMT", "version": "v1" } ]
2024-06-18
[ [ "Kumar", "Ashish", "" ], [ "Kim", "Daneul", "" ], [ "Park", "Jaesik", "" ], [ "Behera", "Laxmidhar", "" ] ]
Channel pruning approaches for convolutional neural networks (ConvNets) deactivate the channels, statically or dynamically, and require special implementation. In addition, channel squeezing in representative ConvNets is carried out via 1x1 convolutions which dominates a large portion of computations and network parame...
1807.01012
Weinan Chen
Weinan Chen and Lei Zhu and Yisheng Guan and C. Ronald Kube and Hong Zhang
Submap-based Pose-graph Visual SLAM: A Robust Visual Exploration and Localization System
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018)
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
For VSLAM (Visual Simultaneous Localization and Mapping), localization is a challenging task, especially for some challenging situations: textureless frames, motion blur, etc.. To build a robust exploration and localization system in a given space or environment, a submap-based VSLAM system is proposed in this paper....
[ { "created": "Tue, 3 Jul 2018 08:17:37 GMT", "version": "v1" } ]
2018-07-04
[ [ "Chen", "Weinan", "" ], [ "Zhu", "Lei", "" ], [ "Guan", "Yisheng", "" ], [ "Kube", "C. Ronald", "" ], [ "Zhang", "Hong", "" ] ]
For VSLAM (Visual Simultaneous Localization and Mapping), localization is a challenging task, especially for some challenging situations: textureless frames, motion blur, etc.. To build a robust exploration and localization system in a given space or environment, a submap-based VSLAM system is proposed in this paper. O...
2112.11944
Jacob Armstrong
J. Armstrong, D. Clifton
Continual learning of longitudinal health records
15 pages, 5 figures
2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)
10.1109/BHI56158.2022.9926878
9926878
cs.LG
http://creativecommons.org/licenses/by/4.0/
Continual learning denotes machine learning methods which can adapt to new environments while retaining and reusing knowledge gained from past experiences. Such methods address two issues encountered by models in non-stationary environments: ungeneralisability to new data, and the catastrophic forgetting of previous ...
[ { "created": "Wed, 22 Dec 2021 15:08:45 GMT", "version": "v1" } ]
2023-03-28
[ [ "Armstrong", "J.", "" ], [ "Clifton", "D.", "" ] ]
Continual learning denotes machine learning methods which can adapt to new environments while retaining and reusing knowledge gained from past experiences. Such methods address two issues encountered by models in non-stationary environments: ungeneralisability to new data, and the catastrophic forgetting of previous kn...
2207.00151
Yiming Huo
Yiming Huo
Space Broadband Access: The Race Has Just Begun
8 pages, 3 figures, 2 tables. Accepted by IEEE Magazine (https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=2)
null
10.1109/MC.2022.3160472
null
cs.NI cs.ET cs.SY eess.SP eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent years have witnessed an exponential growth of the commercial space industry, including rocket launch, satellite network deployment, private space travel, and even extraterrestrial colonization. Several trends are predicted in this unprecedented transition to an era of space-enabled broadband access.
[ { "created": "Fri, 6 May 2022 19:27:08 GMT", "version": "v1" } ]
2022-07-04
[ [ "Huo", "Yiming", "" ] ]
Recent years have witnessed an exponential growth of the commercial space industry, including rocket launch, satellite network deployment, private space travel, and even extraterrestrial colonization. Several trends are predicted in this unprecedented transition to an era of space-enabled broadband access.