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2201.03092
Xiyang Hu
Xiyang Hu, Yan Huang, Beibei Li, Tian Lu
Uncovering the Source of Machine Bias
accepted by KDD 2021, MLCM workshop
null
null
null
cs.LG econ.GN q-fin.EC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We develop a structural econometric model to capture the decision dynamics of human evaluators on an online micro-lending platform, and estimate the model parameters using a real-world dataset. We find two types of biases in gender, preference-based bias and belief-based bias, are present in human evaluators' decisio...
[ { "created": "Sun, 9 Jan 2022 21:05:24 GMT", "version": "v1" } ]
2022-01-11
[ [ "Hu", "Xiyang", "" ], [ "Huang", "Yan", "" ], [ "Li", "Beibei", "" ], [ "Lu", "Tian", "" ] ]
We develop a structural econometric model to capture the decision dynamics of human evaluators on an online micro-lending platform, and estimate the model parameters using a real-world dataset. We find two types of biases in gender, preference-based bias and belief-based bias, are present in human evaluators' decisions...
1807.00507
Michael Codish
Michael Codish
A SAT Encoding for the $n$-Fractions Problem
null
null
null
null
cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This note describes a SAT encoding for the $n$-fractions puzzle which is problem 041 of the CSPLib. Using a SAT solver we obtain a solution for two of the six remaining open instances of this problem.
[ { "created": "Mon, 2 Jul 2018 07:54:17 GMT", "version": "v1" } ]
2018-07-03
[ [ "Codish", "Michael", "" ] ]
This note describes a SAT encoding for the $n$-fractions puzzle which is problem 041 of the CSPLib. Using a SAT solver we obtain a solution for two of the six remaining open instances of this problem.
2107.03434
Trinh Van Chien
Trinh Van Chien and Hien Quoc Ngo and Symeon Chatzinotas and Bj\"orn Ottersten
Reconfigurable Intelligent Surface-Assisted Massive MIMO: Favorable Propagation, Channel Hardening, and Rank Deficiency
7 pages, 2 Figures. Submitted to IEEE for possible publication
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Massive multiple-input multiple-output (MIMO) and reconfigurable intelligent surface (RIS) are two promising technologies for 5G-and-beyond wireless networks, capable of providing large array gain and multiuser spatial multiplexing. Without requiring additional frequency bands, those technologies offer significant im...
[ { "created": "Wed, 7 Jul 2021 18:35:44 GMT", "version": "v1" }, { "created": "Sun, 5 Sep 2021 16:17:41 GMT", "version": "v2" } ]
2021-09-07
[ [ "Van Chien", "Trinh", "" ], [ "Ngo", "Hien Quoc", "" ], [ "Chatzinotas", "Symeon", "" ], [ "Ottersten", "Björn", "" ] ]
Massive multiple-input multiple-output (MIMO) and reconfigurable intelligent surface (RIS) are two promising technologies for 5G-and-beyond wireless networks, capable of providing large array gain and multiuser spatial multiplexing. Without requiring additional frequency bands, those technologies offer significant impr...
2203.12324
Maaike Los
Maaike Los, Zo\'e Christoff, Davide Grossi
Proportional Budget Allocations: Towards a Systematization
17 pages
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We contribute to the programme of lifting proportionality axioms from the multi-winner voting setting to participatory budgeting. We define novel proportionality axioms for participatory budgeting and test them on known proportionality-driven rules such as Phragm\'en and Rule X. We investigate logical implications am...
[ { "created": "Wed, 23 Mar 2022 11:01:31 GMT", "version": "v1" }, { "created": "Wed, 4 May 2022 14:16:16 GMT", "version": "v2" } ]
2022-05-05
[ [ "Los", "Maaike", "" ], [ "Christoff", "Zoé", "" ], [ "Grossi", "Davide", "" ] ]
We contribute to the programme of lifting proportionality axioms from the multi-winner voting setting to participatory budgeting. We define novel proportionality axioms for participatory budgeting and test them on known proportionality-driven rules such as Phragm\'en and Rule X. We investigate logical implications amon...
2309.13904
Katsuya Hotta
Katsuya Hotta, Chao Zhang, Yoshihiro Hagihara, Takuya Akashi
Subspace-Guided Feature Reconstruction for Unsupervised Anomaly Localization
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Unsupervised anomaly localization, which plays a critical role in industrial manufacturing, aims to identify anomalous regions that deviate from normal sample patterns. Most recent methods perform feature matching or reconstruction for the target sample with pre-trained deep neural networks. However, they still strug...
[ { "created": "Mon, 25 Sep 2023 06:58:57 GMT", "version": "v1" }, { "created": "Wed, 28 Feb 2024 09:16:53 GMT", "version": "v2" } ]
2024-02-29
[ [ "Hotta", "Katsuya", "" ], [ "Zhang", "Chao", "" ], [ "Hagihara", "Yoshihiro", "" ], [ "Akashi", "Takuya", "" ] ]
Unsupervised anomaly localization, which plays a critical role in industrial manufacturing, aims to identify anomalous regions that deviate from normal sample patterns. Most recent methods perform feature matching or reconstruction for the target sample with pre-trained deep neural networks. However, they still struggl...
2103.11119
Yiwei Bao
Yiwei Bao, Yihua Cheng, Yunfei Liu and Feng Lu
Adaptive Feature Fusion Network for Gaze Tracking in Mobile Tablets
Accepted at International Conference on Pattern Recognition 2020 (ICPR)
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently, many multi-stream gaze estimation methods have been proposed. They estimate gaze from eye and face appearances and achieve reasonable accuracy. However, most of the methods simply concatenate the features extracted from eye and face appearance. The feature fusion process has been ignored. In this paper, we ...
[ { "created": "Sat, 20 Mar 2021 07:16:10 GMT", "version": "v1" } ]
2021-03-23
[ [ "Bao", "Yiwei", "" ], [ "Cheng", "Yihua", "" ], [ "Liu", "Yunfei", "" ], [ "Lu", "Feng", "" ] ]
Recently, many multi-stream gaze estimation methods have been proposed. They estimate gaze from eye and face appearances and achieve reasonable accuracy. However, most of the methods simply concatenate the features extracted from eye and face appearance. The feature fusion process has been ignored. In this paper, we pr...
2011.04501
Yitao Chen
Yitao Chen and Deepanshu Vasal
Multi-Agent Decentralized Belief Propagation on Graphs
16 pages. arXiv admin note: text overlap with arXiv:1109.2135, arXiv:1209.1695, arXiv:1802.08757 by other authors
null
null
null
cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the problem of interactive partially observable Markov decision processes (I-POMDPs), where the agents are located at the nodes of a communication network. Specifically, we assume a certain message type for all messages. Moreover, each agent makes individual decisions based on the interactive belief state...
[ { "created": "Fri, 6 Nov 2020 18:16:26 GMT", "version": "v1" }, { "created": "Tue, 10 Nov 2020 02:25:35 GMT", "version": "v2" } ]
2020-11-11
[ [ "Chen", "Yitao", "" ], [ "Vasal", "Deepanshu", "" ] ]
We consider the problem of interactive partially observable Markov decision processes (I-POMDPs), where the agents are located at the nodes of a communication network. Specifically, we assume a certain message type for all messages. Moreover, each agent makes individual decisions based on the interactive belief states,...
2010.06362
Jinting Wu
Jinting Wu, Yujia Zhang, Xiaoguang Zhao and Wenbin Gao
A Generalized Zero-Shot Framework for Emotion Recognition from Body Gestures
The new version adds a co-author and revises the layout of Fig.3
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Although automatic emotion recognition from facial expressions and speech has made remarkable progress, emotion recognition from body gestures has not been thoroughly explored. People often use a variety of body language to express emotions, and it is difficult to enumerate all emotional body gestures and collect eno...
[ { "created": "Tue, 13 Oct 2020 13:16:38 GMT", "version": "v1" }, { "created": "Tue, 20 Oct 2020 08:15:45 GMT", "version": "v2" } ]
2020-10-21
[ [ "Wu", "Jinting", "" ], [ "Zhang", "Yujia", "" ], [ "Zhao", "Xiaoguang", "" ], [ "Gao", "Wenbin", "" ] ]
Although automatic emotion recognition from facial expressions and speech has made remarkable progress, emotion recognition from body gestures has not been thoroughly explored. People often use a variety of body language to express emotions, and it is difficult to enumerate all emotional body gestures and collect enoug...
2303.08233
Timothy Yu
Rindranirina Ramamonjison, Timothy T. Yu, Raymond Li, Haley Li, Giuseppe Carenini, Bissan Ghaddar, Shiqi He, Mahdi Mostajabdaveh, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang
NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions
null
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Natural Language for Optimization (NL4Opt) Competition was created to investigate methods of extracting the meaning and formulation of an optimization problem based on its text description. Specifically, the goal of the competition is to increase the accessibility and usability of optimization solvers by allowing...
[ { "created": "Tue, 14 Mar 2023 20:59:04 GMT", "version": "v1" }, { "created": "Mon, 27 Mar 2023 01:10:12 GMT", "version": "v2" } ]
2023-03-28
[ [ "Ramamonjison", "Rindranirina", "" ], [ "Yu", "Timothy T.", "" ], [ "Li", "Raymond", "" ], [ "Li", "Haley", "" ], [ "Carenini", "Giuseppe", "" ], [ "Ghaddar", "Bissan", "" ], [ "He", "Shiqi", "" ], [ ...
The Natural Language for Optimization (NL4Opt) Competition was created to investigate methods of extracting the meaning and formulation of an optimization problem based on its text description. Specifically, the goal of the competition is to increase the accessibility and usability of optimization solvers by allowing n...
2105.13478
Kyle MacMillan
Kyle MacMillan, Tarun Mangla, James Saxon, Nick Feamster
Measuring the Performance and Network Utilization of Popular Video Conferencing Applications
null
null
null
null
cs.NI
http://creativecommons.org/licenses/by/4.0/
Video conferencing applications (VCAs) have become a critical Internet application, even more so during the COVID-19 pandemic, as users worldwide now rely on them for work, school, and telehealth. It is thus increasingly important to understand the resource requirements of different VCAs and how they perform under di...
[ { "created": "Thu, 27 May 2021 22:21:57 GMT", "version": "v1" } ]
2021-05-31
[ [ "MacMillan", "Kyle", "" ], [ "Mangla", "Tarun", "" ], [ "Saxon", "James", "" ], [ "Feamster", "Nick", "" ] ]
Video conferencing applications (VCAs) have become a critical Internet application, even more so during the COVID-19 pandemic, as users worldwide now rely on them for work, school, and telehealth. It is thus increasingly important to understand the resource requirements of different VCAs and how they perform under diff...
2404.00790
Mingyang Wang
Mingyang Wang, Heike Adel, Lukas Lange, Jannik Str\"otgen, Hinrich Sch\"utze
Rehearsal-Free Modular and Compositional Continual Learning for Language Models
null
null
null
null
cs.LG cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Continual learning aims at incrementally acquiring new knowledge while not forgetting existing knowledge. To overcome catastrophic forgetting, methods are either rehearsal-based, i.e., store data examples from previous tasks for data replay, or isolate parameters dedicated to each task. However, rehearsal-based metho...
[ { "created": "Sun, 31 Mar 2024 20:28:44 GMT", "version": "v1" } ]
2024-04-02
[ [ "Wang", "Mingyang", "" ], [ "Adel", "Heike", "" ], [ "Lange", "Lukas", "" ], [ "Strötgen", "Jannik", "" ], [ "Schütze", "Hinrich", "" ] ]
Continual learning aims at incrementally acquiring new knowledge while not forgetting existing knowledge. To overcome catastrophic forgetting, methods are either rehearsal-based, i.e., store data examples from previous tasks for data replay, or isolate parameters dedicated to each task. However, rehearsal-based methods...
2301.04788
Shaonan Wang
Shaonan Wang, Nai Ding, Nan Lin, Jiajun Zhang, Chengqing Zong
Language Cognition and Language Computation -- Human and Machine Language Understanding
A survey of language comprehension in cognitive sciences and language understanding in computer sciences and their relations
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Language understanding is a key scientific issue in the fields of cognitive and computer science. However, the two disciplines differ substantially in the specific research questions. Cognitive science focuses on analyzing the specific mechanism of the brain and investigating the brain's response to language; few stu...
[ { "created": "Thu, 12 Jan 2023 02:37:00 GMT", "version": "v1" } ]
2023-01-13
[ [ "Wang", "Shaonan", "" ], [ "Ding", "Nai", "" ], [ "Lin", "Nan", "" ], [ "Zhang", "Jiajun", "" ], [ "Zong", "Chengqing", "" ] ]
Language understanding is a key scientific issue in the fields of cognitive and computer science. However, the two disciplines differ substantially in the specific research questions. Cognitive science focuses on analyzing the specific mechanism of the brain and investigating the brain's response to language; few studi...
cs/0405092
Jiang Qiu
Yves Caseau, Glenn Silverstein, Francois Laburthe
Learning Hybrid Algorithms for Vehicle Routing Problems
Appeared in Theory and Practice of Logic Programming, vol. 1, no. 6, 2001
Theory and Practice of Logic Programming, vol. 1, no. 6, 2001
null
null
cs.PL
null
This paper presents a generic technique for improving hybrid algorithms through the discovery of and tuning of meta-heuristics. The idea is to represent a family of push/pull heuristics that are based upon inserting and removing tasks in a current solution, with an algebra. We then let a learning algorithm search for...
[ { "created": "Mon, 24 May 2004 17:41:50 GMT", "version": "v1" } ]
2007-05-23
[ [ "Caseau", "Yves", "" ], [ "Silverstein", "Glenn", "" ], [ "Laburthe", "Francois", "" ] ]
This paper presents a generic technique for improving hybrid algorithms through the discovery of and tuning of meta-heuristics. The idea is to represent a family of push/pull heuristics that are based upon inserting and removing tasks in a current solution, with an algebra. We then let a learning algorithm search for t...
2402.09299
Vahid Majdinasab
Vahid Majdinasab, Amin Nikanjam, Foutse Khomh
Trained Without My Consent: Detecting Code Inclusion In Language Models Trained on Code
Submitted to TOSEM (ACM Transactions on Software Engineering and Methodology)
null
null
null
cs.SE cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Code auditing ensures that the developed code adheres to standards, regulations, and copyright protection by verifying that it does not contain code from protected sources. The recent advent of Large Language Models (LLMs) as coding assistants in the software development process poses new challenges for code auditing...
[ { "created": "Wed, 14 Feb 2024 16:41:35 GMT", "version": "v1" } ]
2024-02-15
[ [ "Majdinasab", "Vahid", "" ], [ "Nikanjam", "Amin", "" ], [ "Khomh", "Foutse", "" ] ]
Code auditing ensures that the developed code adheres to standards, regulations, and copyright protection by verifying that it does not contain code from protected sources. The recent advent of Large Language Models (LLMs) as coding assistants in the software development process poses new challenges for code auditing. ...
1903.02740
Zaiwang Gu
Zaiwang Gu, Jun Cheng, Huazhu Fu, Kang Zhou, Huaying Hao, Yitian Zhao, Tianyang Zhang, Shenghua Gao and Jiang Liu
CE-Net: Context Encoder Network for 2D Medical Image Segmentation
accepted by IEEE transcations on medical imaging, (TMI)
null
10.1109/TMI.2019.2903562
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Medical image segmentation is an important step in medical image analysis. With the rapid development of convolutional neural network in image processing, deep learning has been used for medical image segmentation, such as optic disc segmentation, blood vessel detection, lung segmentation, cell segmentation, etc. Pre...
[ { "created": "Thu, 7 Mar 2019 06:24:27 GMT", "version": "v1" } ]
2019-03-08
[ [ "Gu", "Zaiwang", "" ], [ "Cheng", "Jun", "" ], [ "Fu", "Huazhu", "" ], [ "Zhou", "Kang", "" ], [ "Hao", "Huaying", "" ], [ "Zhao", "Yitian", "" ], [ "Zhang", "Tianyang", "" ], [ "Gao", "Shenghua...
Medical image segmentation is an important step in medical image analysis. With the rapid development of convolutional neural network in image processing, deep learning has been used for medical image segmentation, such as optic disc segmentation, blood vessel detection, lung segmentation, cell segmentation, etc. Previ...
2011.03168
Hiroyasu Tsukamoto
Hiroyasu Tsukamoto and Soon-Jo Chung and Jean-Jacques E. Slotine
Neural Stochastic Contraction Metrics for Learning-based Control and Estimation
IEEE CONTROL SYSTEMS LETTERS (L-CSS), preprint version, accepted Dec. 2020 (DOI: 10.1109/LCSYS.2020.3046529). https://ieeexplore.ieee.org/document/9302618
null
10.1109/LCSYS.2020.3046529
null
cs.LG cs.AI cs.RO cs.SY eess.SY math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present Neural Stochastic Contraction Metrics (NSCM), a new design framework for provably-stable robust control and estimation for a class of stochastic nonlinear systems. It uses a spectrally-normalized deep neural network to construct a contraction metric, sampled via simplified convex optimization in the stocha...
[ { "created": "Fri, 6 Nov 2020 03:04:42 GMT", "version": "v1" }, { "created": "Thu, 19 Nov 2020 17:39:43 GMT", "version": "v2" }, { "created": "Wed, 9 Dec 2020 23:43:24 GMT", "version": "v3" }, { "created": "Sun, 3 Jan 2021 14:12:28 GMT", "version": "v4" } ]
2021-01-05
[ [ "Tsukamoto", "Hiroyasu", "" ], [ "Chung", "Soon-Jo", "" ], [ "Slotine", "Jean-Jacques E.", "" ] ]
We present Neural Stochastic Contraction Metrics (NSCM), a new design framework for provably-stable robust control and estimation for a class of stochastic nonlinear systems. It uses a spectrally-normalized deep neural network to construct a contraction metric, sampled via simplified convex optimization in the stochast...
1012.3295
Laura Sanit\`a
Friedrich Eisenbrand, Naonori Kakimura, Thomas Rothvo{\ss}, Laura Sanit\`a
Set Covering with Ordered Replacement -- Additive and Multiplicative Gaps
null
null
null
null
cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider set covering problems where the underlying set system satisfies a particular replacement property w.r.t. a given partial order on the elements: Whenever a set is in the set system then a set stemming from it via the replacement of an element by a smaller element is also in the set system. Many variants of...
[ { "created": "Wed, 15 Dec 2010 11:56:31 GMT", "version": "v1" } ]
2015-03-17
[ [ "Eisenbrand", "Friedrich", "" ], [ "Kakimura", "Naonori", "" ], [ "Rothvoß", "Thomas", "" ], [ "Sanità", "Laura", "" ] ]
We consider set covering problems where the underlying set system satisfies a particular replacement property w.r.t. a given partial order on the elements: Whenever a set is in the set system then a set stemming from it via the replacement of an element by a smaller element is also in the set system. Many variants of B...
2303.09181
Yong Liu
Kunyang Han, Yong Liu, Jun Hao Liew, Henghui Ding, Yunchao Wei, Jiajun Liu, Yitong Wang, Yansong Tang, Yujiu Yang, Jiashi Feng, Yao Zhao
Global Knowledge Calibration for Fast Open-Vocabulary Segmentation
Accepted by ICCV2023
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent advancements in pre-trained vision-language models, such as CLIP, have enabled the segmentation of arbitrary concepts solely from textual inputs, a process commonly referred to as open-vocabulary semantic segmentation (OVS). However, existing OVS techniques confront a fundamental challenge: the trained classif...
[ { "created": "Thu, 16 Mar 2023 09:51:41 GMT", "version": "v1" }, { "created": "Sat, 15 Jul 2023 05:10:22 GMT", "version": "v2" } ]
2023-07-18
[ [ "Han", "Kunyang", "" ], [ "Liu", "Yong", "" ], [ "Liew", "Jun Hao", "" ], [ "Ding", "Henghui", "" ], [ "Wei", "Yunchao", "" ], [ "Liu", "Jiajun", "" ], [ "Wang", "Yitong", "" ], [ "Tang", "Yanso...
Recent advancements in pre-trained vision-language models, such as CLIP, have enabled the segmentation of arbitrary concepts solely from textual inputs, a process commonly referred to as open-vocabulary semantic segmentation (OVS). However, existing OVS techniques confront a fundamental challenge: the trained classifie...
1612.03472
Dominik Sch\"urmann
Dominik Sch\"urmann and Arne Br\"usch and Stephan Sigg and Lars Wolf
BANDANA -- Body Area Network Device-to-device Authentication using Natural gAit
null
IEEE International Conference on Pervasive Computing and Communications (PerCom) 2017
10.1109/PERCOM.2017.7917865
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Secure spontaneous authentication between devices worn at arbitrary location on the same body is a challenging, yet unsolved problem. We propose BANDANA, the first-ever implicit secure device-to-device authentication scheme for devices worn on the same body. Our approach leverages instantaneous variation in accelerat...
[ { "created": "Sun, 11 Dec 2016 20:43:57 GMT", "version": "v1" } ]
2018-04-09
[ [ "Schürmann", "Dominik", "" ], [ "Brüsch", "Arne", "" ], [ "Sigg", "Stephan", "" ], [ "Wolf", "Lars", "" ] ]
Secure spontaneous authentication between devices worn at arbitrary location on the same body is a challenging, yet unsolved problem. We propose BANDANA, the first-ever implicit secure device-to-device authentication scheme for devices worn on the same body. Our approach leverages instantaneous variation in acceleratio...
1703.06337
Andriy Miranskyy
Mefta Sadat and Ayse Basar Bener and Andriy V. Miranskyy
Rediscovery Datasets: Connecting Duplicate Reports
null
Proceedings of the 14th International Conference on Mining Software Repositories (MSR '17). IEEE Press, Piscataway, NJ, USA, 527-530, 2017
10.1109/MSR.2017.50
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The same defect can be rediscovered by multiple clients, causing unplanned outages and leading to reduced customer satisfaction. In the case of popular open source software, high volume of defects is reported on a regular basis. A large number of these reports are actually duplicates / rediscoveries of each other. Re...
[ { "created": "Sat, 18 Mar 2017 19:01:38 GMT", "version": "v1" } ]
2017-06-14
[ [ "Sadat", "Mefta", "" ], [ "Bener", "Ayse Basar", "" ], [ "Miranskyy", "Andriy V.", "" ] ]
The same defect can be rediscovered by multiple clients, causing unplanned outages and leading to reduced customer satisfaction. In the case of popular open source software, high volume of defects is reported on a regular basis. A large number of these reports are actually duplicates / rediscoveries of each other. Rese...
2210.06739
Ueverton Souza
Janio Carlos Nascimento Silva, U\'everton S. Souza
Computing the Best Case Energy Complexity of Satisfying Assignments in Monotone Circuits
null
null
null
null
cs.CC cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Measures of circuit complexity are usually analyzed to ensure the computation of Boolean functions with economy and efficiency. One of these measures is energy complexity, which is related to the number of gates that output true in a circuit for an assignment. The idea behind energy complexity comes from the counting...
[ { "created": "Thu, 13 Oct 2022 05:05:56 GMT", "version": "v1" } ]
2022-10-14
[ [ "Silva", "Janio Carlos Nascimento", "" ], [ "Souza", "Uéverton S.", "" ] ]
Measures of circuit complexity are usually analyzed to ensure the computation of Boolean functions with economy and efficiency. One of these measures is energy complexity, which is related to the number of gates that output true in a circuit for an assignment. The idea behind energy complexity comes from the counting o...
2407.19988
Yili Jin
Yili Jin, Xize Duan, Fangxin Wang, Xue Liu
HeadsetOff: Enabling Photorealistic Video Conferencing on Economical VR Headsets
Accepted by ACM Multimedia 2024
null
null
null
cs.MM
http://creativecommons.org/licenses/by/4.0/
Virtual Reality (VR) headsets have become increasingly popular for remote collaboration, but video conferencing poses challenges when the user's face is covered by the headset. Existing solutions have limitations in terms of accessibility. In this paper, we propose HeadsetOff, a novel system that achieves photorealis...
[ { "created": "Mon, 29 Jul 2024 13:20:22 GMT", "version": "v1" } ]
2024-07-30
[ [ "Jin", "Yili", "" ], [ "Duan", "Xize", "" ], [ "Wang", "Fangxin", "" ], [ "Liu", "Xue", "" ] ]
Virtual Reality (VR) headsets have become increasingly popular for remote collaboration, but video conferencing poses challenges when the user's face is covered by the headset. Existing solutions have limitations in terms of accessibility. In this paper, we propose HeadsetOff, a novel system that achieves photorealisti...
2110.08259
Hangcheng Dong
Hangcheng Dong, Jingxiao Liao, Yan Wang, Yixin Chen, Bingguo Liu, Dong Ye and Guodong Liu
Training Neural Networks for Solving 1-D Optimal Piecewise Linear Approximation
null
null
null
null
cs.LG cs.NE
http://creativecommons.org/licenses/by/4.0/
Recently, the interpretability of deep learning has attracted a lot of attention. A plethora of methods have attempted to explain neural networks by feature visualization, saliency maps, model distillation, and so on. However, it is hard for these methods to reveal the intrinsic properties of neural networks. In this...
[ { "created": "Thu, 14 Oct 2021 14:41:17 GMT", "version": "v1" } ]
2021-10-19
[ [ "Dong", "Hangcheng", "" ], [ "Liao", "Jingxiao", "" ], [ "Wang", "Yan", "" ], [ "Chen", "Yixin", "" ], [ "Liu", "Bingguo", "" ], [ "Ye", "Dong", "" ], [ "Liu", "Guodong", "" ] ]
Recently, the interpretability of deep learning has attracted a lot of attention. A plethora of methods have attempted to explain neural networks by feature visualization, saliency maps, model distillation, and so on. However, it is hard for these methods to reveal the intrinsic properties of neural networks. In this w...
2307.15988
Sascha Kirch
Sascha Kirch (1), Valeria Olyunina (2), Jan Ond\v{r}ej (2), Rafael Pag\'es (2), Sergio Martin (1), Clara P\'erez-Molina (1) ((1) UNED - Universidad Nacional de Educaci\'on a Distancia, Madrid, Spain, (2) Volograms ltd, Dublin, Ireland)
RGB-D-Fusion: Image Conditioned Depth Diffusion of Humanoid Subjects
null
null
10.1109/ACCESS.2023.3312017
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present RGB-D-Fusion, a multi-modal conditional denoising diffusion probabilistic model to generate high resolution depth maps from low-resolution monocular RGB images of humanoid subjects. RGB-D-Fusion first generates a low-resolution depth map using an image conditioned denoising diffusion probabilistic model an...
[ { "created": "Sat, 29 Jul 2023 13:47:40 GMT", "version": "v1" } ]
2023-09-25
[ [ "Kirch", "Sascha", "" ], [ "Olyunina", "Valeria", "" ], [ "Ondřej", "Jan", "" ], [ "Pagés", "Rafael", "" ], [ "Martin", "Sergio", "" ], [ "Pérez-Molina", "Clara", "" ] ]
We present RGB-D-Fusion, a multi-modal conditional denoising diffusion probabilistic model to generate high resolution depth maps from low-resolution monocular RGB images of humanoid subjects. RGB-D-Fusion first generates a low-resolution depth map using an image conditioned denoising diffusion probabilistic model and ...
1804.01834
Mehdi Salehi Heydar Abad
Mehdi Salehi Heydar Abad, Ozgur Ercetin
Finite Horizon Throughput Maximization and Sensing Optimization in Wireless Powered Devices over Fading Channels
Single column, 31 pages
null
null
null
cs.IT cs.LG eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Wireless power transfer (WPT) is a promising technology that provides the network a way to replenish the batteries of the remote devices by utilizing RF transmissions. We study a class of harvest-first-transmit-later type of WPT policy, where an access point (AP) first employs RF power transfer to recharge a wireless...
[ { "created": "Sat, 17 Mar 2018 19:40:40 GMT", "version": "v1" }, { "created": "Sun, 9 Sep 2018 21:23:31 GMT", "version": "v2" } ]
2018-09-11
[ [ "Abad", "Mehdi Salehi Heydar", "" ], [ "Ercetin", "Ozgur", "" ] ]
Wireless power transfer (WPT) is a promising technology that provides the network a way to replenish the batteries of the remote devices by utilizing RF transmissions. We study a class of harvest-first-transmit-later type of WPT policy, where an access point (AP) first employs RF power transfer to recharge a wireless p...
1812.04486
Eric Benhamou
David Saltiel and Eric Benhamou
Trade Selection with Supervised Learning and OCA
7 pages, 9 figures. arXiv admin note: substantial text overlap with arXiv:1811.12064
null
null
null
cs.LG q-fin.CP stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In recent years, state-of-the-art methods for supervised learning have exploited increasingly gradient boosting techniques, with mainstream efficient implementations such as xgboost or lightgbm. One of the key points in generating proficient methods is Feature Selection (FS). It consists in selecting the right valuab...
[ { "created": "Sun, 9 Dec 2018 21:07:06 GMT", "version": "v1" } ]
2018-12-12
[ [ "Saltiel", "David", "" ], [ "Benhamou", "Eric", "" ] ]
In recent years, state-of-the-art methods for supervised learning have exploited increasingly gradient boosting techniques, with mainstream efficient implementations such as xgboost or lightgbm. One of the key points in generating proficient methods is Feature Selection (FS). It consists in selecting the right valuable...
1206.0305
Ghassan Samara
Ghassan Samara
Efficient Certificate Management in VANET
5 pages. arXiv admin note: text overlap with arXiv:1006.5113, and with arXiv:1112.2257 by other authors
2010 2nd International Conference on Future Computer and Communication
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Vehicular Ad hoc Networks is one of the most challenging research area in the field of Mobile Ad Hoc Networks, in this research We propose a flexible, simple, and scalable design for VANET certificates, and new methods for efficient certificate management, which will Reduce channel overhead by eliminating the use of ...
[ { "created": "Fri, 1 Jun 2012 20:40:23 GMT", "version": "v1" } ]
2012-06-05
[ [ "Samara", "Ghassan", "" ] ]
Vehicular Ad hoc Networks is one of the most challenging research area in the field of Mobile Ad Hoc Networks, in this research We propose a flexible, simple, and scalable design for VANET certificates, and new methods for efficient certificate management, which will Reduce channel overhead by eliminating the use of CR...
2007.05976
Saptarshi Ghosh Dr.
Shalmoli Ghosh, Prajwal Singhania, Siddharth Singh, Koustav Rudra, Saptarshi Ghosh
Stance Detection in Web and Social Media: A Comparative Study
null
Proceedings of Conference and Labs of the Evaluation Forum (CLEF) 2019; Lecture Notes in Computer Science, vol 11696, pp. 75-87
10.1007/978-3-030-28577-7_4
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Online forums and social media platforms are increasingly being used to discuss topics of varying polarities where different people take different stances. Several methodologies for automatic stance detection from text have been proposed in literature. To our knowledge, there has not been any systematic investigation...
[ { "created": "Sun, 12 Jul 2020 12:39:35 GMT", "version": "v1" } ]
2020-07-14
[ [ "Ghosh", "Shalmoli", "" ], [ "Singhania", "Prajwal", "" ], [ "Singh", "Siddharth", "" ], [ "Rudra", "Koustav", "" ], [ "Ghosh", "Saptarshi", "" ] ]
Online forums and social media platforms are increasingly being used to discuss topics of varying polarities where different people take different stances. Several methodologies for automatic stance detection from text have been proposed in literature. To our knowledge, there has not been any systematic investigation t...
2112.13261
Tao Jiang
Tao Jiang, Wei Yu
Interference Nulling Using Reconfigurable Intelligent Surface
This paper is accepted in IEEE Journal on Selected Areas in Communications
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper investigates the interference nulling capability of reconfigurable intelligent surface (RIS) in a multiuser environment where multiple single-antenna transceivers communicate simultaneously in a shared spectrum. From a theoretical perspective, we show that when the channels between the RIS and the transcei...
[ { "created": "Sat, 25 Dec 2021 17:21:43 GMT", "version": "v1" }, { "created": "Thu, 27 Jan 2022 23:31:45 GMT", "version": "v2" } ]
2022-01-31
[ [ "Jiang", "Tao", "" ], [ "Yu", "Wei", "" ] ]
This paper investigates the interference nulling capability of reconfigurable intelligent surface (RIS) in a multiuser environment where multiple single-antenna transceivers communicate simultaneously in a shared spectrum. From a theoretical perspective, we show that when the channels between the RIS and the transceive...
1702.03380
Guoqiang Zhang
Guoqiang Zhang and W. Bastiaan Kleijn
Training Deep Neural Networks via Optimization Over Graphs
5 pages
null
null
null
cs.LG cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work, we propose to train a deep neural network by distributed optimization over a graph. Two nonlinear functions are considered: the rectified linear unit (ReLU) and a linear unit with both lower and upper cutoffs (DCutLU). The problem reformulation over a graph is realized by explicitly representing ReLU or...
[ { "created": "Sat, 11 Feb 2017 04:02:40 GMT", "version": "v1" }, { "created": "Sat, 17 Jun 2017 11:18:48 GMT", "version": "v2" } ]
2017-06-20
[ [ "Zhang", "Guoqiang", "" ], [ "Kleijn", "W. Bastiaan", "" ] ]
In this work, we propose to train a deep neural network by distributed optimization over a graph. Two nonlinear functions are considered: the rectified linear unit (ReLU) and a linear unit with both lower and upper cutoffs (DCutLU). The problem reformulation over a graph is realized by explicitly representing ReLU or D...
2010.15012
Vanlin Sathya
Vanlin Sathya, Muhammad Iqbal Rochman, and Monisha Ghosh
Measurement-based coexistence studies of LAA & Wi-Fi deployments in Chicago
IEEE Wireless Communication Magazine, October 2020
null
null
null
cs.NI cs.PF eess.SP
http://creativecommons.org/licenses/by-sa/4.0/
LTE-Licensed Assisted Access (LAA) networks are beginning to be deployed widely in major metropolitan areas in the US in the unlicensed 5 GHz bands, which have existing dense deployments of Wi-Fi as well. Various aspects of the coexistence scenarios such deployments give rise to have been considered ina vast body of ...
[ { "created": "Wed, 28 Oct 2020 14:37:40 GMT", "version": "v1" } ]
2020-10-29
[ [ "Sathya", "Vanlin", "" ], [ "Rochman", "Muhammad Iqbal", "" ], [ "Ghosh", "Monisha", "" ] ]
LTE-Licensed Assisted Access (LAA) networks are beginning to be deployed widely in major metropolitan areas in the US in the unlicensed 5 GHz bands, which have existing dense deployments of Wi-Fi as well. Various aspects of the coexistence scenarios such deployments give rise to have been considered ina vast body of ac...
1107.2554
Julia Chuzhoy
Julia Chuzhoy
Routing in Undirected Graphs with Constant Congestion
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Given an undirected graph G=(V,E), a collection (s_1,t_1),...,(s_k,t_k) of k source-sink pairs, and an integer c, the goal in the Edge Disjoint Paths with Congestion problem is to connect maximum possible number of the source-sink pairs by paths, so that the maximum load on any edge (called edge congestion) does not ...
[ { "created": "Wed, 13 Jul 2011 14:04:11 GMT", "version": "v1" } ]
2011-07-14
[ [ "Chuzhoy", "Julia", "" ] ]
Given an undirected graph G=(V,E), a collection (s_1,t_1),...,(s_k,t_k) of k source-sink pairs, and an integer c, the goal in the Edge Disjoint Paths with Congestion problem is to connect maximum possible number of the source-sink pairs by paths, so that the maximum load on any edge (called edge congestion) does not ex...
2309.15970
An Thai Le
An T. Le, Georgia Chalvatzaki, Armin Biess, Jan Peters
Accelerating Motion Planning via Optimal Transport
Published as a conference paper at NeurIPS 2023. Project website: https://sites.google.com/view/sinkhorn-step/
null
null
null
cs.RO math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Motion planning is still an open problem for many disciplines, e.g., robotics, autonomous driving, due to their need for high computational resources that hinder real-time, efficient decision-making. A class of methods striving to provide smooth solutions is gradient-based trajectory optimization. However, those meth...
[ { "created": "Wed, 27 Sep 2023 19:42:01 GMT", "version": "v1" }, { "created": "Sat, 28 Oct 2023 17:38:59 GMT", "version": "v2" } ]
2023-10-31
[ [ "Le", "An T.", "" ], [ "Chalvatzaki", "Georgia", "" ], [ "Biess", "Armin", "" ], [ "Peters", "Jan", "" ] ]
Motion planning is still an open problem for many disciplines, e.g., robotics, autonomous driving, due to their need for high computational resources that hinder real-time, efficient decision-making. A class of methods striving to provide smooth solutions is gradient-based trajectory optimization. However, those method...
1207.4383
Zhewei Wei
Zhewei Wei, Ke Yi
Equivalence between Priority Queues and Sorting in External Memory
11 pages, 1 figure
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A priority queue is a fundamental data structure that maintains a dynamic ordered set of keys and supports the followig basic operations: insertion of a key, deletion of a key, and finding the smallest key. The complexity of the priority queue is closely related to that of sorting: A priority queue can be used to imp...
[ { "created": "Wed, 18 Jul 2012 14:32:57 GMT", "version": "v1" } ]
2012-07-19
[ [ "Wei", "Zhewei", "" ], [ "Yi", "Ke", "" ] ]
A priority queue is a fundamental data structure that maintains a dynamic ordered set of keys and supports the followig basic operations: insertion of a key, deletion of a key, and finding the smallest key. The complexity of the priority queue is closely related to that of sorting: A priority queue can be used to imple...
2309.11911
Shanglin Lei
Shanglin Lei, Guanting Dong, Xiaoping Wang, Keheng Wang, Sirui Wang
InstructERC: Reforming Emotion Recognition in Conversation with a Retrieval Multi-task LLMs Framework
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by-nc-sa/4.0/
The field of emotion recognition of conversation (ERC) has been focusing on separating sentence feature encoding and context modeling, lacking exploration in generative paradigms based on unified designs. In this study, we propose a novel approach, \textbf{InstructERC}, to reformulate the ERC task from a discrimina...
[ { "created": "Thu, 21 Sep 2023 09:22:07 GMT", "version": "v1" }, { "created": "Fri, 22 Sep 2023 06:33:53 GMT", "version": "v2" }, { "created": "Fri, 24 Nov 2023 10:41:46 GMT", "version": "v3" }, { "created": "Tue, 12 Mar 2024 12:54:36 GMT", "version": "v4" } ]
2024-03-13
[ [ "Lei", "Shanglin", "" ], [ "Dong", "Guanting", "" ], [ "Wang", "Xiaoping", "" ], [ "Wang", "Keheng", "" ], [ "Wang", "Sirui", "" ] ]
The field of emotion recognition of conversation (ERC) has been focusing on separating sentence feature encoding and context modeling, lacking exploration in generative paradigms based on unified designs. In this study, we propose a novel approach, \textbf{InstructERC}, to reformulate the ERC task from a discriminative...
2309.14529
Yingbo Hua
Yingbo Hua
Secret-Message Transmission by Echoing Encrypted Probes -- STEEP
null
null
null
null
cs.IT eess.SP math.IT
http://creativecommons.org/licenses/by-nc-nd/4.0/
This paper examines the properties of the lower and upper bounds established by Maurer, Ahlswede and Csiszar (MAC) for secret-key capacity in the case of channel probing over single-input and single-output (SISO) channels. Inspired by the insights into MAC's bounds, a scheme called secret-message transmission by echo...
[ { "created": "Mon, 25 Sep 2023 21:07:17 GMT", "version": "v1" } ]
2023-09-27
[ [ "Hua", "Yingbo", "" ] ]
This paper examines the properties of the lower and upper bounds established by Maurer, Ahlswede and Csiszar (MAC) for secret-key capacity in the case of channel probing over single-input and single-output (SISO) channels. Inspired by the insights into MAC's bounds, a scheme called secret-message transmission by echoin...
1407.4527
Bradford Boyle
Bradford D. Boyle and Steven Weber
Structural and Optimization Properties for Joint Selection of Source Rates and Network Flow
15 pages, 13 figures, Submitted to IEEE/ACM Transactions on Networking on 2014-07-16. Correction to Fig. 13. Fixed minor typos
null
null
null
cs.NI cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the optimal transmission of distributed correlated discrete memoryless sources across a network with capacity constraints. We present several previously undiscussed structural properties of the set of feasible rates and transmission schemes. We extend previous results concerning the intersection of polyma...
[ { "created": "Wed, 16 Jul 2014 23:24:41 GMT", "version": "v1" }, { "created": "Wed, 23 Jul 2014 21:26:58 GMT", "version": "v2" }, { "created": "Tue, 9 Sep 2014 22:23:49 GMT", "version": "v3" } ]
2014-09-11
[ [ "Boyle", "Bradford D.", "" ], [ "Weber", "Steven", "" ] ]
We consider the optimal transmission of distributed correlated discrete memoryless sources across a network with capacity constraints. We present several previously undiscussed structural properties of the set of feasible rates and transmission schemes. We extend previous results concerning the intersection of polymatr...
1502.01963
Peter Mutschke
Peter Mutschke, Philipp Mayr, Andrea Scharnhorst
Editorial for the Proceedings of the Workshop Knowledge Maps and Information Retrieval (KMIR2014) at Digital Libraries 2014
URL workshop proceedings: http://ceur-ws.org/Vol-1311/
null
null
null
cs.IR cs.DL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Knowledge maps are promising tools for visualizing the structure of large-scale information spaces, but still far away from being applicable for searching. The first international workshop on "Knowledge Maps and Information Retrieval (KMIR)", held as part of the International Conference on Digital Libraries 2014 in L...
[ { "created": "Fri, 6 Feb 2015 17:35:34 GMT", "version": "v1" } ]
2015-02-09
[ [ "Mutschke", "Peter", "" ], [ "Mayr", "Philipp", "" ], [ "Scharnhorst", "Andrea", "" ] ]
Knowledge maps are promising tools for visualizing the structure of large-scale information spaces, but still far away from being applicable for searching. The first international workshop on "Knowledge Maps and Information Retrieval (KMIR)", held as part of the International Conference on Digital Libraries 2014 in Lon...
1505.04313
Erkki Luuk
Erkki Luuk
A type-theoretical approach to Universal Grammar
null
null
null
null
cs.CL math.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The idea of Universal Grammar (UG) as the hypothetical linguistic structure shared by all human languages harkens back at least to the 13th century. The best known modern elaborations of the idea are due to Chomsky. Following a devastating critique from theoretical, typological and field linguistics, these elaboratio...
[ { "created": "Sat, 16 May 2015 19:28:49 GMT", "version": "v1" } ]
2015-05-19
[ [ "Luuk", "Erkki", "" ] ]
The idea of Universal Grammar (UG) as the hypothetical linguistic structure shared by all human languages harkens back at least to the 13th century. The best known modern elaborations of the idea are due to Chomsky. Following a devastating critique from theoretical, typological and field linguistics, these elaborations...
2005.11217
Prashnna Gyawali
Prashnna Kumar Gyawali, Sandesh Ghimire, Pradeep Bajracharya, Zhiyuan Li, Linwei Wang
Semi-supervised Medical Image Classification with Global Latent Mixing
null
null
null
null
cs.LG cs.CV eess.IV stat.ML
http://creativecommons.org/licenses/by/4.0/
Computer-aided diagnosis via deep learning relies on large-scale annotated data sets, which can be costly when involving expert knowledge. Semi-supervised learning (SSL) mitigates this challenge by leveraging unlabeled data. One effective SSL approach is to regularize the local smoothness of neural functions via pert...
[ { "created": "Fri, 22 May 2020 14:49:13 GMT", "version": "v1" } ]
2020-05-25
[ [ "Gyawali", "Prashnna Kumar", "" ], [ "Ghimire", "Sandesh", "" ], [ "Bajracharya", "Pradeep", "" ], [ "Li", "Zhiyuan", "" ], [ "Wang", "Linwei", "" ] ]
Computer-aided diagnosis via deep learning relies on large-scale annotated data sets, which can be costly when involving expert knowledge. Semi-supervised learning (SSL) mitigates this challenge by leveraging unlabeled data. One effective SSL approach is to regularize the local smoothness of neural functions via pertur...
1906.01957
Anthony Chen
Anthony Chen, John Harwell, Maria Gini
Maximizing Energy Battery Efficiency in Swarm Robotics
Presented as ARMS Workshop paper at AAMAS 2019 Conference (http://u.cs.biu.ac.il/~agmon/arms2019/program.html)
null
null
null
cs.MA cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Miniaturization and cost, two of the main attractive factors of swarm robotics, have motivated its use as a solution in object collecting tasks, search & rescue missions, and other applications. However, in the current literature only a few papers consider energy allocation efficiency within a swarm. Generally, robot...
[ { "created": "Wed, 5 Jun 2019 11:52:50 GMT", "version": "v1" } ]
2019-06-06
[ [ "Chen", "Anthony", "" ], [ "Harwell", "John", "" ], [ "Gini", "Maria", "" ] ]
Miniaturization and cost, two of the main attractive factors of swarm robotics, have motivated its use as a solution in object collecting tasks, search & rescue missions, and other applications. However, in the current literature only a few papers consider energy allocation efficiency within a swarm. Generally, robots ...
2405.01824
Wee Kiat Chan
Wee Kiat Chan, PengWei Wang, Raye Chen-Hua Yeow
Creation of Novel Soft Robot Designs using Generative AI
null
null
null
null
cs.RO cs.AI
http://creativecommons.org/licenses/by-nc-nd/4.0/
Soft robotics has emerged as a promising field with the potential to revolutionize industries such as healthcare and manufacturing. However, designing effective soft robots presents challenges, particularly in managing the complex interplay of material properties, structural design, and control strategies. Traditiona...
[ { "created": "Fri, 3 May 2024 02:55:27 GMT", "version": "v1" } ]
2024-05-06
[ [ "Chan", "Wee Kiat", "" ], [ "Wang", "PengWei", "" ], [ "Yeow", "Raye Chen-Hua", "" ] ]
Soft robotics has emerged as a promising field with the potential to revolutionize industries such as healthcare and manufacturing. However, designing effective soft robots presents challenges, particularly in managing the complex interplay of material properties, structural design, and control strategies. Traditional ...
2011.02417
Tristan Thrush
Tristan Thrush, Ethan Wilcox, and Roger Levy
Investigating Novel Verb Learning in BERT: Selectional Preference Classes and Alternation-Based Syntactic Generalization
Accepted to BlackboxNLP 2020
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Previous studies investigating the syntactic abilities of deep learning models have not targeted the relationship between the strength of the grammatical generalization and the amount of evidence to which the model is exposed during training. We address this issue by deploying a novel word-learning paradigm to test B...
[ { "created": "Wed, 4 Nov 2020 17:17:49 GMT", "version": "v1" } ]
2020-11-05
[ [ "Thrush", "Tristan", "" ], [ "Wilcox", "Ethan", "" ], [ "Levy", "Roger", "" ] ]
Previous studies investigating the syntactic abilities of deep learning models have not targeted the relationship between the strength of the grammatical generalization and the amount of evidence to which the model is exposed during training. We address this issue by deploying a novel word-learning paradigm to test BER...
2407.17365
Roman Bachmann
Sogand Salehi, Mahdi Shafiei, Teresa Yeo, Roman Bachmann, Amir Zamir
ViPer: Visual Personalization of Generative Models via Individual Preference Learning
Project page at https://viper.epfl.ch/
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Different users find different images generated for the same prompt desirable. This gives rise to personalized image generation which involves creating images aligned with an individual's visual preference. Current generative models are, however, unpersonalized, as they are tuned to produce outputs that appeal to a b...
[ { "created": "Wed, 24 Jul 2024 15:42:34 GMT", "version": "v1" } ]
2024-07-25
[ [ "Salehi", "Sogand", "" ], [ "Shafiei", "Mahdi", "" ], [ "Yeo", "Teresa", "" ], [ "Bachmann", "Roman", "" ], [ "Zamir", "Amir", "" ] ]
Different users find different images generated for the same prompt desirable. This gives rise to personalized image generation which involves creating images aligned with an individual's visual preference. Current generative models are, however, unpersonalized, as they are tuned to produce outputs that appeal to a bro...
2003.09417
Moritz Schubotz
Moritz Schubotz and Andr\'e Greiner-Petter and Norman Meuschke and Olaf Teschke and Bela Gipp
Mathematical Formulae in Wikimedia Projects 2020
Submitted to JCDL 2020: Proceedings of the ACM/ IEEE Joint Conference on Digital Libraries in 2020 (JCDL '20), August 1-5, 2020, Virtual Event, China
null
10.1145/3383583.3398557
null
cs.DL cs.IR
http://creativecommons.org/publicdomain/zero/1.0/
This poster summarizes our contributions to Wikimedia's processing pipeline for mathematical formulae. We describe how we have supported the transition from rendering formulae as course-grained PNG images in 2001 to providing modern semantically enriched language-independent MathML formulae in 2020. Additionally, we ...
[ { "created": "Fri, 20 Mar 2020 17:56:26 GMT", "version": "v1" }, { "created": "Wed, 6 May 2020 19:25:19 GMT", "version": "v2" } ]
2020-05-08
[ [ "Schubotz", "Moritz", "" ], [ "Greiner-Petter", "André", "" ], [ "Meuschke", "Norman", "" ], [ "Teschke", "Olaf", "" ], [ "Gipp", "Bela", "" ] ]
This poster summarizes our contributions to Wikimedia's processing pipeline for mathematical formulae. We describe how we have supported the transition from rendering formulae as course-grained PNG images in 2001 to providing modern semantically enriched language-independent MathML formulae in 2020. Additionally, we de...
2305.03916
Jyoti Prakash
Jyoti Prakash, Abhishek Tiwari, Christian Hammer
Unifying Pointer Analyses for Polyglot Inter-operations through Summary Specialization
null
null
null
null
cs.SE cs.PL
http://creativecommons.org/licenses/by/4.0/
Modular analysis of polyglot applications is challenging because heap object flows across language boundaries must be resolved. The state-of-the-art analyses for polyglot applications have two fundamental limitations. First, they assume explicit boundaries between the host and the guest language to determine inter-la...
[ { "created": "Sat, 6 May 2023 03:40:06 GMT", "version": "v1" } ]
2023-05-09
[ [ "Prakash", "Jyoti", "" ], [ "Tiwari", "Abhishek", "" ], [ "Hammer", "Christian", "" ] ]
Modular analysis of polyglot applications is challenging because heap object flows across language boundaries must be resolved. The state-of-the-art analyses for polyglot applications have two fundamental limitations. First, they assume explicit boundaries between the host and the guest language to determine inter-lang...
2307.08881
Anton Tsitsulin
Mustafa Yasir, John Palowitch, Anton Tsitsulin, Long Tran-Thanh, Bryan Perozzi
Examining the Effects of Degree Distribution and Homophily in Graph Learning Models
Accepted to Workshop on Graph Learning Benchmarks at KDD 2023
null
null
null
cs.SI cs.LG
http://creativecommons.org/publicdomain/zero/1.0/
Despite a surge in interest in GNN development, homogeneity in benchmarking datasets still presents a fundamental issue to GNN research. GraphWorld is a recent solution which uses the Stochastic Block Model (SBM) to generate diverse populations of synthetic graphs for benchmarking any GNN task. Despite its success, t...
[ { "created": "Mon, 17 Jul 2023 22:35:46 GMT", "version": "v1" } ]
2023-07-19
[ [ "Yasir", "Mustafa", "" ], [ "Palowitch", "John", "" ], [ "Tsitsulin", "Anton", "" ], [ "Tran-Thanh", "Long", "" ], [ "Perozzi", "Bryan", "" ] ]
Despite a surge in interest in GNN development, homogeneity in benchmarking datasets still presents a fundamental issue to GNN research. GraphWorld is a recent solution which uses the Stochastic Block Model (SBM) to generate diverse populations of synthetic graphs for benchmarking any GNN task. Despite its success, the...
2010.06155
Beixiong Zheng
Beixiong Zheng, Changsheng You, Rui Zhang
Uplink Channel Estimation for Double-IRS Assisted Multi-User MIMO
In this paper, we propose a new and efficient channel estimation scheme for the double-IRS assisted uplink multiple-input multiple-output (MIMO) communication system (arXiv:2008.13701) to resolve the cascaded CSI of both its single- and double-reflection links
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
To achieve the more promising passive beamforming gains in the double-intelligent reflecting surface (IRS) assisted system over the conventional single-IRS system, channel estimation is practically indispensable but also a more challenging problem to tackle, due to the presence of not only the single- but also double...
[ { "created": "Tue, 13 Oct 2020 03:58:19 GMT", "version": "v1" } ]
2020-10-14
[ [ "Zheng", "Beixiong", "" ], [ "You", "Changsheng", "" ], [ "Zhang", "Rui", "" ] ]
To achieve the more promising passive beamforming gains in the double-intelligent reflecting surface (IRS) assisted system over the conventional single-IRS system, channel estimation is practically indispensable but also a more challenging problem to tackle, due to the presence of not only the single- but also double-r...
2112.05469
Satya Bagchi
Haradhan Ghosh, Sanjit Bhowmick, Pramod Kumar Maurya, Satya Bagchi
Linear complementary dual code-based Multi-secret sharing scheme
12 pages
null
null
null
cs.CR math.RA
http://creativecommons.org/licenses/by/4.0/
Hiding a secret is needed in many situations. Secret sharing plays an important role in protecting information from getting lost, stolen, or destroyed and has been applicable in recent years. A secret sharing scheme is a cryptographic protocol in which a dealer divides the secret into several pieces of share and one ...
[ { "created": "Fri, 10 Dec 2021 11:52:52 GMT", "version": "v1" } ]
2021-12-13
[ [ "Ghosh", "Haradhan", "" ], [ "Bhowmick", "Sanjit", "" ], [ "Maurya", "Pramod Kumar", "" ], [ "Bagchi", "Satya", "" ] ]
Hiding a secret is needed in many situations. Secret sharing plays an important role in protecting information from getting lost, stolen, or destroyed and has been applicable in recent years. A secret sharing scheme is a cryptographic protocol in which a dealer divides the secret into several pieces of share and one sh...
2301.07520
Elisa Luciano
Elisa Luciano and Matteo Cattaneo and Ron Kenett
Adversarial AI in Insurance: Pervasiveness and Resilience
null
null
null
null
cs.LG q-fin.GN
http://creativecommons.org/licenses/by/4.0/
The rapid and dynamic pace of Artificial Intelligence (AI) and Machine Learning (ML) is revolutionizing the insurance sector. AI offers significant, very much welcome advantages to insurance companies, and is fundamental to their customer-centricity strategy. It also poses challenges, in the project and implementatio...
[ { "created": "Tue, 17 Jan 2023 08:49:54 GMT", "version": "v1" } ]
2023-01-19
[ [ "Luciano", "Elisa", "" ], [ "Cattaneo", "Matteo", "" ], [ "Kenett", "Ron", "" ] ]
The rapid and dynamic pace of Artificial Intelligence (AI) and Machine Learning (ML) is revolutionizing the insurance sector. AI offers significant, very much welcome advantages to insurance companies, and is fundamental to their customer-centricity strategy. It also poses challenges, in the project and implementation ...
2012.15543
Zheng-Yu Niu
Jun Xu, Zeyang Lei, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che, Ting Liu
Discovering Dialog Structure Graph for Open-Domain Dialog Generation
null
null
null
null
cs.AI cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Learning interpretable dialog structure from human-human dialogs yields basic insights into the structure of conversation, and also provides background knowledge to facilitate dialog generation. In this paper, we conduct unsupervised discovery of dialog structure from chitchat corpora, and then leverage it to facilit...
[ { "created": "Thu, 31 Dec 2020 10:58:37 GMT", "version": "v1" } ]
2021-01-01
[ [ "Xu", "Jun", "" ], [ "Lei", "Zeyang", "" ], [ "Wang", "Haifeng", "" ], [ "Niu", "Zheng-Yu", "" ], [ "Wu", "Hua", "" ], [ "Che", "Wanxiang", "" ], [ "Liu", "Ting", "" ] ]
Learning interpretable dialog structure from human-human dialogs yields basic insights into the structure of conversation, and also provides background knowledge to facilitate dialog generation. In this paper, we conduct unsupervised discovery of dialog structure from chitchat corpora, and then leverage it to facilitat...
2406.11227
Silvery D. Fu
Silvery D. Fu, Xuewei Chen
Compound Schema Registry
2 pages, compound ai system workshop 2024
null
null
null
cs.DB cs.AI
http://creativecommons.org/licenses/by-nc-nd/4.0/
Schema evolution is critical in managing database systems to ensure compatibility across different data versions. A schema registry typically addresses the challenges of schema evolution in real-time data streaming by managing, validating, and ensuring schema compatibility. However, current schema registries struggle...
[ { "created": "Mon, 17 Jun 2024 05:50:46 GMT", "version": "v1" } ]
2024-06-18
[ [ "Fu", "Silvery D.", "" ], [ "Chen", "Xuewei", "" ] ]
Schema evolution is critical in managing database systems to ensure compatibility across different data versions. A schema registry typically addresses the challenges of schema evolution in real-time data streaming by managing, validating, and ensuring schema compatibility. However, current schema registries struggle w...
2201.11370
Hajar Moudoud
Hajar Moudoud, Soumaya Cherkaoui and Lyes Khoukhi
An IoT Blockchain Architecture Using Oracles and Smart Contracts: the Use-Case of a Food Supply Chain
This paper has been accepted for publication by IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). The final version will be published by the IEEE
null
10.1109/PIMRC.2019.8904404
null
cs.NI cs.CR
http://creativecommons.org/licenses/by/4.0/
The blockchain is a distributed technology which allows establishing trust among unreliable users who interact and perform transactions with each other. While blockchain technology has been mainly used for crypto-currency, it has emerged as an enabling technology for establishing trust in the realm of the Internet of...
[ { "created": "Thu, 27 Jan 2022 08:10:37 GMT", "version": "v1" } ]
2022-01-28
[ [ "Moudoud", "Hajar", "" ], [ "Cherkaoui", "Soumaya", "" ], [ "Khoukhi", "Lyes", "" ] ]
The blockchain is a distributed technology which allows establishing trust among unreliable users who interact and perform transactions with each other. While blockchain technology has been mainly used for crypto-currency, it has emerged as an enabling technology for establishing trust in the realm of the Internet of T...
1010.0654
Shirin Jalali
Michelle Effros, Tracey Ho and Shirin Jalali
On Equivalence Between Network Topologies
8 pages, 12 figures, 48th Annual Allerton Conference on Communication, Control, and Computing, 2010
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
One major open problem in network coding is to characterize the capacity region of a general multi-source multi-demand network. There are some existing computational tools for bounding the capacity of general networks, but their computational complexity grows very quickly with the size of the network. This motivates ...
[ { "created": "Mon, 4 Oct 2010 18:31:44 GMT", "version": "v1" } ]
2015-03-17
[ [ "Effros", "Michelle", "" ], [ "Ho", "Tracey", "" ], [ "Jalali", "Shirin", "" ] ]
One major open problem in network coding is to characterize the capacity region of a general multi-source multi-demand network. There are some existing computational tools for bounding the capacity of general networks, but their computational complexity grows very quickly with the size of the network. This motivates us...
2309.13443
Grace Li Zhang
Jingcun Wang, Bing Li, Grace Li Zhang
Early-Exit with Class Exclusion for Efficient Inference of Neural Networks
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
Deep neural networks (DNNs) have been successfully applied in various fields. In DNNs, a large number of multiply-accumulate (MAC) operations are required to be performed, posing critical challenges in applying them in resource-constrained platforms, e.g., edge devices. To address this challenge, in this paper, we pr...
[ { "created": "Sat, 23 Sep 2023 18:12:27 GMT", "version": "v1" }, { "created": "Sat, 17 Feb 2024 08:03:00 GMT", "version": "v2" } ]
2024-02-20
[ [ "Wang", "Jingcun", "" ], [ "Li", "Bing", "" ], [ "Zhang", "Grace Li", "" ] ]
Deep neural networks (DNNs) have been successfully applied in various fields. In DNNs, a large number of multiply-accumulate (MAC) operations are required to be performed, posing critical challenges in applying them in resource-constrained platforms, e.g., edge devices. To address this challenge, in this paper, we prop...
2206.00792
Jun Muramatsu
Jun Muramatsu
Channel Codes for Relayless Networks with General Message Access Structure
(v1) 26 pages, to submitted to IEEE ITW2023, (v2) 27 pages, Remark 1 and Lemma 9 in v1 is deleted, Lemma 7 in v2 is added, Eq. (13) and the proof of Lemma 7 in v1 (Eq. (14) and the proof of Lemma 8 in v2) are revised
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Channel codes for relayless networks with the general message access structure is introduced. It is shown that the multi-letter characterized capacity region of this network is achievable with this code. The capacity region is characterized in terms of entropy functions and provides an alternative to the regions intr...
[ { "created": "Wed, 1 Jun 2022 22:56:06 GMT", "version": "v1" }, { "created": "Mon, 20 Mar 2023 02:42:53 GMT", "version": "v2" } ]
2023-03-21
[ [ "Muramatsu", "Jun", "" ] ]
Channel codes for relayless networks with the general message access structure is introduced. It is shown that the multi-letter characterized capacity region of this network is achievable with this code. The capacity region is characterized in terms of entropy functions and provides an alternative to the regions introd...
2401.03357
Andrea Bedin
Dmitry Chizhik, Jinfeng Du, Reinaldo Valenzuela, Andrea Bedin, Martti Moisio and Rodolfo Feick
Measured and Modeled Outdoor Indoor Coverage at 28 GHz into High Thermal Efficiency Buildings
2 pages, 3 figures. Presented at IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting
null
null
null
cs.NI eess.SP
http://creativecommons.org/licenses/by/4.0/
28 GHz outdoor-indoor coverage into modern office buildings with high thermal efficiency windows is found to be severely limited due to 46 dB median penetration loss at normal incidence and additional 15 dB median oblique incidence loss. The study is based on measurements of path gain over 280 outdoor-indoor links, a...
[ { "created": "Mon, 4 Sep 2023 06:37:55 GMT", "version": "v1" } ]
2024-01-09
[ [ "Chizhik", "Dmitry", "" ], [ "Du", "Jinfeng", "" ], [ "Valenzuela", "Reinaldo", "" ], [ "Bedin", "Andrea", "" ], [ "Moisio", "Martti", "" ], [ "Feick", "Rodolfo", "" ] ]
28 GHz outdoor-indoor coverage into modern office buildings with high thermal efficiency windows is found to be severely limited due to 46 dB median penetration loss at normal incidence and additional 15 dB median oblique incidence loss. The study is based on measurements of path gain over 280 outdoor-indoor links, at ...
1709.04864
Eduardo Aguilar
Eduardo Aguilar, Marc Bola\~nos, Petia Radeva
Food Recognition using Fusion of Classifiers based on CNNs
null
ICIAP 10485 (2017) 213-224
10.1007/978-3-319-68548-9_20
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the arrival of convolutional neural networks, the complex problem of food recognition has experienced an important improvement in recent years. The best results have been obtained using methods based on very deep convolutional neural networks, which show that the deeper the model,the better the classification ac...
[ { "created": "Thu, 14 Sep 2017 16:35:40 GMT", "version": "v1" } ]
2018-01-23
[ [ "Aguilar", "Eduardo", "" ], [ "Bolaños", "Marc", "" ], [ "Radeva", "Petia", "" ] ]
With the arrival of convolutional neural networks, the complex problem of food recognition has experienced an important improvement in recent years. The best results have been obtained using methods based on very deep convolutional neural networks, which show that the deeper the model,the better the classification accu...
1707.06885
Felix Stahlberg
Felix Stahlberg, Eva Hasler, Danielle Saunders and Bill Byrne
SGNMT -- A Flexible NMT Decoding Platform for Quick Prototyping of New Models and Search Strategies
Accepted as EMNLP 2017 demo paper
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper introduces SGNMT, our experimental platform for machine translation research. SGNMT provides a generic interface to neural and symbolic scoring modules (predictors) with left-to-right semantic such as translation models like NMT, language models, translation lattices, $n$-best lists or other kinds of score...
[ { "created": "Fri, 21 Jul 2017 13:14:25 GMT", "version": "v1" } ]
2017-07-24
[ [ "Stahlberg", "Felix", "" ], [ "Hasler", "Eva", "" ], [ "Saunders", "Danielle", "" ], [ "Byrne", "Bill", "" ] ]
This paper introduces SGNMT, our experimental platform for machine translation research. SGNMT provides a generic interface to neural and symbolic scoring modules (predictors) with left-to-right semantic such as translation models like NMT, language models, translation lattices, $n$-best lists or other kinds of scores ...
1906.12091
Quanming Yao
Quanming Yao, Xiangning Chen, James Kwok, Yong Li, Cho-Jui Hsieh
Efficient Neural Interaction Function Search for Collaborative Filtering
Accepted to WWW 2020
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In collaborative filtering (CF), interaction function (IFC) plays the important role of capturing interactions among items and users. The most popular IFC is the inner product, which has been successfully used in low-rank matrix factorization. However, interactions in real-world applications can be highly complex. Th...
[ { "created": "Fri, 28 Jun 2019 08:37:02 GMT", "version": "v1" }, { "created": "Thu, 23 Jan 2020 03:48:44 GMT", "version": "v2" }, { "created": "Sun, 5 Apr 2020 11:45:17 GMT", "version": "v3" } ]
2020-04-07
[ [ "Yao", "Quanming", "" ], [ "Chen", "Xiangning", "" ], [ "Kwok", "James", "" ], [ "Li", "Yong", "" ], [ "Hsieh", "Cho-Jui", "" ] ]
In collaborative filtering (CF), interaction function (IFC) plays the important role of capturing interactions among items and users. The most popular IFC is the inner product, which has been successfully used in low-rank matrix factorization. However, interactions in real-world applications can be highly complex. Thus...
2307.02590
Salvatore Spina Dr.
Salvatore Spina
Homo-Loggatus. The anthropological condition of historians in the digital world
null
null
null
null
cs.HC
http://creativecommons.org/licenses/by/4.0/
Computerization has created a digital ecological niche where humans live in a state of interconnection that modifies their Epigenetics. Within this hyper-datafied virtual space, the logged-in agent enhances their intellectual and rational abilities, giving rise to a new cognitive entity. Humans are evolving towards a...
[ { "created": "Wed, 5 Jul 2023 18:38:17 GMT", "version": "v1" } ]
2023-07-07
[ [ "Spina", "Salvatore", "" ] ]
Computerization has created a digital ecological niche where humans live in a state of interconnection that modifies their Epigenetics. Within this hyper-datafied virtual space, the logged-in agent enhances their intellectual and rational abilities, giving rise to a new cognitive entity. Humans are evolving towards a n...
1903.04253
Georges Younes Mr.
Georges Younes, Daniel Asmar, and John Zelek
A Unified Formulation for Visual Odometry
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Monocular Odometry systems can be broadly categorized as being either Direct, Indirect, or a hybrid of both. While Indirect systems process an alternative image representation to compute geometric residuals, Direct methods process the image pixels directly to generate photometric residuals. Both paradigms have distin...
[ { "created": "Mon, 11 Mar 2019 12:44:14 GMT", "version": "v1" } ]
2019-03-12
[ [ "Younes", "Georges", "" ], [ "Asmar", "Daniel", "" ], [ "Zelek", "John", "" ] ]
Monocular Odometry systems can be broadly categorized as being either Direct, Indirect, or a hybrid of both. While Indirect systems process an alternative image representation to compute geometric residuals, Direct methods process the image pixels directly to generate photometric residuals. Both paradigms have distinct...
2311.11289
Ping Li PhD
Ping Li, Chenhan Zhang, Zheng Yang, Xianghua Xu, Mingli Song
Pair-wise Layer Attention with Spatial Masking for Video Prediction
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
Video prediction yields future frames by employing the historical frames and has exhibited its great potential in many applications, e.g., meteorological prediction, and autonomous driving. Previous works often decode the ultimate high-level semantic features to future frames without texture details, which deteriorat...
[ { "created": "Sun, 19 Nov 2023 10:29:05 GMT", "version": "v1" } ]
2023-11-21
[ [ "Li", "Ping", "" ], [ "Zhang", "Chenhan", "" ], [ "Yang", "Zheng", "" ], [ "Xu", "Xianghua", "" ], [ "Song", "Mingli", "" ] ]
Video prediction yields future frames by employing the historical frames and has exhibited its great potential in many applications, e.g., meteorological prediction, and autonomous driving. Previous works often decode the ultimate high-level semantic features to future frames without texture details, which deteriorates...
2306.00432
Shreyas Pai
M\'elanie Cambus, Fabian Kuhn, Shreyas Pai and Jara Uitto
Time and Space Optimal Massively Parallel Algorithm for the 2-Ruling Set Problem
null
null
null
null
cs.DS cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work, we present a constant-round algorithm for the $2$-ruling set problem in the Congested Clique model. As a direct consequence, we obtain a constant round algorithm in the MPC model with linear space-per-machine and optimal total space. Our results improve on the $O(\log \log \log n)$-round algorithm by [H...
[ { "created": "Thu, 1 Jun 2023 08:19:19 GMT", "version": "v1" }, { "created": "Tue, 10 Oct 2023 13:15:55 GMT", "version": "v2" } ]
2023-10-11
[ [ "Cambus", "Mélanie", "" ], [ "Kuhn", "Fabian", "" ], [ "Pai", "Shreyas", "" ], [ "Uitto", "Jara", "" ] ]
In this work, we present a constant-round algorithm for the $2$-ruling set problem in the Congested Clique model. As a direct consequence, we obtain a constant round algorithm in the MPC model with linear space-per-machine and optimal total space. Our results improve on the $O(\log \log \log n)$-round algorithm by [HPS...
2304.08967
Nabeel Gillani
Nabeel Gillani and Doug Beeferman and Cassandra Overney and Christine Vega-Pourheydarian and Deb Roy
All a-board: sharing educational data science research with school districts
In Proceedings of the Tenth ACM Conference on Learning at Scale (L@S '23)
null
null
null
cs.CY stat.AP
http://creativecommons.org/licenses/by/4.0/
Educational data scientists often conduct research with the hopes of translating findings into lasting change through policy, civil society, or other channels. However, the bridge from research to practice can be fraught with sociopolitical frictions that impede, or altogether block, such translations -- especially w...
[ { "created": "Tue, 18 Apr 2023 13:03:05 GMT", "version": "v1" }, { "created": "Wed, 5 Jul 2023 15:45:30 GMT", "version": "v2" } ]
2023-07-06
[ [ "Gillani", "Nabeel", "" ], [ "Beeferman", "Doug", "" ], [ "Overney", "Cassandra", "" ], [ "Vega-Pourheydarian", "Christine", "" ], [ "Roy", "Deb", "" ] ]
Educational data scientists often conduct research with the hopes of translating findings into lasting change through policy, civil society, or other channels. However, the bridge from research to practice can be fraught with sociopolitical frictions that impede, or altogether block, such translations -- especially whe...
2110.13214
Pan Lu
Pan Lu, Liang Qiu, Jiaqi Chen, Tony Xia, Yizhou Zhao, Wei Zhang, Zhou Yu, Xiaodan Liang, Song-Chun Zhu
IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning
Corrected typos. Accepted to NeurIPS 2021, 27 pages, 18 figures. Data and code are available at https://iconqa.github.io
null
null
null
cs.CV cs.AI cs.CL cs.LG
http://creativecommons.org/licenses/by/4.0/
Current visual question answering (VQA) tasks mainly consider answering human-annotated questions for natural images. However, aside from natural images, abstract diagrams with semantic richness are still understudied in visual understanding and reasoning research. In this work, we introduce a new challenge of Icon Q...
[ { "created": "Mon, 25 Oct 2021 18:52:26 GMT", "version": "v1" }, { "created": "Sun, 7 Nov 2021 00:44:53 GMT", "version": "v2" }, { "created": "Sun, 20 Feb 2022 01:09:40 GMT", "version": "v3" }, { "created": "Mon, 25 Jul 2022 04:05:29 GMT", "version": "v4" } ]
2022-07-26
[ [ "Lu", "Pan", "" ], [ "Qiu", "Liang", "" ], [ "Chen", "Jiaqi", "" ], [ "Xia", "Tony", "" ], [ "Zhao", "Yizhou", "" ], [ "Zhang", "Wei", "" ], [ "Yu", "Zhou", "" ], [ "Liang", "Xiaodan", "" ...
Current visual question answering (VQA) tasks mainly consider answering human-annotated questions for natural images. However, aside from natural images, abstract diagrams with semantic richness are still understudied in visual understanding and reasoning research. In this work, we introduce a new challenge of Icon Que...
2304.06346
Kangliang Liu
Kangliang Liu, Xiangcheng Du, Sijie Liu, Yingbin Zheng, Xingjiao Wu, Cheng Jin
DDT: Dual-branch Deformable Transformer for Image Denoising
The code is avaliable at: https://github.com/Merenguelkl/DDT
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Transformer is beneficial for image denoising tasks since it can model long-range dependencies to overcome the limitations presented by inductive convolutional biases. However, directly applying the transformer structure to remove noise is challenging because its complexity grows quadratically with the spatial resolu...
[ { "created": "Thu, 13 Apr 2023 08:54:44 GMT", "version": "v1" } ]
2023-04-14
[ [ "Liu", "Kangliang", "" ], [ "Du", "Xiangcheng", "" ], [ "Liu", "Sijie", "" ], [ "Zheng", "Yingbin", "" ], [ "Wu", "Xingjiao", "" ], [ "Jin", "Cheng", "" ] ]
Transformer is beneficial for image denoising tasks since it can model long-range dependencies to overcome the limitations presented by inductive convolutional biases. However, directly applying the transformer structure to remove noise is challenging because its complexity grows quadratically with the spatial resoluti...
1906.03345
Qinbo Li
Qinbo Li, Adam G. D'Souza, Cason Schmit, Hye-Chung Kum
Increasing Transparent and Accountable Use of Data by Quantifying the Actual Privacy Risk in Interactive Record Linkage
7 pages
null
null
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Record linkage refers to the task of integrating data from two or more databases without a common identifier. MINDFIRL (MInimum Necessary Disclosure For Interactive Record Linkage) is a software system that demonstrates the tradeoff between utility and privacy in interactive record linkage. Due to the need to access ...
[ { "created": "Fri, 7 Jun 2019 22:00:08 GMT", "version": "v1" } ]
2019-06-11
[ [ "Li", "Qinbo", "" ], [ "D'Souza", "Adam G.", "" ], [ "Schmit", "Cason", "" ], [ "Kum", "Hye-Chung", "" ] ]
Record linkage refers to the task of integrating data from two or more databases without a common identifier. MINDFIRL (MInimum Necessary Disclosure For Interactive Record Linkage) is a software system that demonstrates the tradeoff between utility and privacy in interactive record linkage. Due to the need to access pe...
2403.16699
Yuanming Tian
Yuanming Tian, Dongxu Li, Chuan Huang, Qingwen Liu, Shengli Zhou
Resonant Beam Communications: A New Design Paradigm and Challenges
null
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Resonant beam communications (RBCom), which adopt oscillating photons between two separate retroreflectors for information transmission, exhibit potential advantages over other types of wireless optical communications (WOC). However, echo interference generated by the modulated beam reflected from the receiver affect...
[ { "created": "Mon, 25 Mar 2024 12:33:10 GMT", "version": "v1" } ]
2024-03-26
[ [ "Tian", "Yuanming", "" ], [ "Li", "Dongxu", "" ], [ "Huang", "Chuan", "" ], [ "Liu", "Qingwen", "" ], [ "Zhou", "Shengli", "" ] ]
Resonant beam communications (RBCom), which adopt oscillating photons between two separate retroreflectors for information transmission, exhibit potential advantages over other types of wireless optical communications (WOC). However, echo interference generated by the modulated beam reflected from the receiver affects ...
1906.01599
Marco Bressan
Marco Bressan, Stefano Leucci, Alessandro Panconesi
Motivo: fast motif counting via succinct color coding and adaptive sampling
13 pages
null
null
null
cs.DB cs.DM cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The randomized technique of color coding is behind state-of-the-art algorithms for estimating graph motif counts. Those algorithms, however, are not yet capable of scaling well to very large graphs with billions of edges. In this paper we develop novel tools for the `motif counting via color coding' framework. As a r...
[ { "created": "Tue, 4 Jun 2019 17:22:07 GMT", "version": "v1" } ]
2019-06-05
[ [ "Bressan", "Marco", "" ], [ "Leucci", "Stefano", "" ], [ "Panconesi", "Alessandro", "" ] ]
The randomized technique of color coding is behind state-of-the-art algorithms for estimating graph motif counts. Those algorithms, however, are not yet capable of scaling well to very large graphs with billions of edges. In this paper we develop novel tools for the `motif counting via color coding' framework. As a res...
2009.14409
Seongmin Lee
Hyun Dong Lee, Seongmin Lee and U Kang
AUBER: Automated BERT Regularization
null
null
10.1371/journal.pone.0253241
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
How can we effectively regularize BERT? Although BERT proves its effectiveness in various downstream natural language processing tasks, it often overfits when there are only a small number of training instances. A promising direction to regularize BERT is based on pruning its attention heads based on a proxy score fo...
[ { "created": "Wed, 30 Sep 2020 03:32:55 GMT", "version": "v1" } ]
2021-09-15
[ [ "Lee", "Hyun Dong", "" ], [ "Lee", "Seongmin", "" ], [ "Kang", "U", "" ] ]
How can we effectively regularize BERT? Although BERT proves its effectiveness in various downstream natural language processing tasks, it often overfits when there are only a small number of training instances. A promising direction to regularize BERT is based on pruning its attention heads based on a proxy score for ...
2104.06645
Leon Bergen
Leon Bergen, Dzmitry Bahdanau, Timothy J. O'Donnell
Jointly Learning Truth-Conditional Denotations and Groundings using Parallel Attention
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
We present a model that jointly learns the denotations of words together with their groundings using a truth-conditional semantics. Our model builds on the neurosymbolic approach of Mao et al. (2019), learning to ground objects in the CLEVR dataset (Johnson et al., 2017) using a novel parallel attention mechanism. Th...
[ { "created": "Wed, 14 Apr 2021 06:33:27 GMT", "version": "v1" } ]
2021-04-15
[ [ "Bergen", "Leon", "" ], [ "Bahdanau", "Dzmitry", "" ], [ "O'Donnell", "Timothy J.", "" ] ]
We present a model that jointly learns the denotations of words together with their groundings using a truth-conditional semantics. Our model builds on the neurosymbolic approach of Mao et al. (2019), learning to ground objects in the CLEVR dataset (Johnson et al., 2017) using a novel parallel attention mechanism. The ...
2002.03014
Benjamin Stevens
Ben Stevens, Tim Colonius
FiniteNet: A Fully Convolutional LSTM Network Architecture for Time-Dependent Partial Differential Equations
8 pages, 12 figures. Under review for ICML 2020
null
null
null
cs.LG cs.NA math.NA physics.comp-ph physics.flu-dyn stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work, we present a machine learning approach for reducing the error when numerically solving time-dependent partial differential equations (PDE). We use a fully convolutional LSTM network to exploit the spatiotemporal dynamics of PDEs. The neural network serves to enhance finite-difference and finite-volume m...
[ { "created": "Fri, 7 Feb 2020 21:18:46 GMT", "version": "v1" } ]
2020-02-11
[ [ "Stevens", "Ben", "" ], [ "Colonius", "Tim", "" ] ]
In this work, we present a machine learning approach for reducing the error when numerically solving time-dependent partial differential equations (PDE). We use a fully convolutional LSTM network to exploit the spatiotemporal dynamics of PDEs. The neural network serves to enhance finite-difference and finite-volume met...
1710.03720
Paul Muntean
Paul Muntean, Jens Grossklags and Claudia Eckert
Practical Integer Overflow Prevention
20 pages
null
null
null
cs.CR cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Integer overflows in commodity software are a main source for software bugs, which can result in exploitable memory corruption vulnerabilities and may eventually contribute to powerful software based exploits, i.e., code reuse attacks (CRAs). In this paper, we present IntGuard , a tool that can repair integer overf...
[ { "created": "Tue, 10 Oct 2017 16:46:23 GMT", "version": "v1" }, { "created": "Wed, 11 Oct 2017 12:09:04 GMT", "version": "v2" }, { "created": "Thu, 12 Oct 2017 08:07:28 GMT", "version": "v3" }, { "created": "Mon, 16 Oct 2017 15:06:41 GMT", "version": "v4" }, { "c...
2017-11-06
[ [ "Muntean", "Paul", "" ], [ "Grossklags", "Jens", "" ], [ "Eckert", "Claudia", "" ] ]
Integer overflows in commodity software are a main source for software bugs, which can result in exploitable memory corruption vulnerabilities and may eventually contribute to powerful software based exploits, i.e., code reuse attacks (CRAs). In this paper, we present IntGuard , a tool that can repair integer overflows...
2401.08867
Md Atik Ahamed
Md Atik Ahamed and Qiang Cheng
MambaTab: A Plug-and-Play Model for Learning Tabular Data
Accepted by IEEE 7th International Conference on Multimedia Information Processing and Retrieval (MIPR), 2024
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Despite the prevalence of images and texts in machine learning, tabular data remains widely used across various domains. Existing deep learning models, such as convolutional neural networks and transformers, perform well however demand extensive preprocessing and tuning limiting accessibility and scalability. This wo...
[ { "created": "Tue, 16 Jan 2024 22:44:12 GMT", "version": "v1" }, { "created": "Mon, 24 Jun 2024 19:58:06 GMT", "version": "v2" } ]
2024-06-26
[ [ "Ahamed", "Md Atik", "" ], [ "Cheng", "Qiang", "" ] ]
Despite the prevalence of images and texts in machine learning, tabular data remains widely used across various domains. Existing deep learning models, such as convolutional neural networks and transformers, perform well however demand extensive preprocessing and tuning limiting accessibility and scalability. This work...
1909.06008
Zhao Kang
Zhao Kang and Zipeng Guo and Shudong Huang and Siying Wang and Wenyu Chen and Yuanzhang Su and Zenglin Xu
Multiple Partitions Aligned Clustering
IJCAI 2019
null
null
null
cs.LG cs.AI cs.CV stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multi-view clustering is an important yet challenging task due to the difficulty of integrating the information from multiple representations. Most existing multi-view clustering methods explore the heterogeneous information in the space where the data points lie. Such common practice may cause significant informatio...
[ { "created": "Fri, 13 Sep 2019 02:45:13 GMT", "version": "v1" } ]
2019-09-16
[ [ "Kang", "Zhao", "" ], [ "Guo", "Zipeng", "" ], [ "Huang", "Shudong", "" ], [ "Wang", "Siying", "" ], [ "Chen", "Wenyu", "" ], [ "Su", "Yuanzhang", "" ], [ "Xu", "Zenglin", "" ] ]
Multi-view clustering is an important yet challenging task due to the difficulty of integrating the information from multiple representations. Most existing multi-view clustering methods explore the heterogeneous information in the space where the data points lie. Such common practice may cause significant information ...
1612.00272
Vidak Vujicic
Vidak Vujicic, Aravind P. Anthur, Alexander Gazman, Colm Browning, M. Deseada Gutierrez Pascual, Ziyi Zhu, Keren Bergman and Liam P. Barry
Software-Defined Silicon Photonics based Metro Node for Spatial and Wavelength Superchannel Switching
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Due to the growing popularity of optical superchannels and software defined networking, reconfigurable optical add-drop multiplexer (ROADM) architectures for superchannel switching have recently attracted significant attention. ROADMs based on micro electro-mechanical system (MEMS) and liquid crystal-on-silicon (LCoS...
[ { "created": "Tue, 29 Nov 2016 10:11:32 GMT", "version": "v1" }, { "created": "Tue, 20 Dec 2016 16:11:45 GMT", "version": "v2" }, { "created": "Thu, 9 Feb 2017 15:03:23 GMT", "version": "v3" } ]
2017-02-10
[ [ "Vujicic", "Vidak", "" ], [ "Anthur", "Aravind P.", "" ], [ "Gazman", "Alexander", "" ], [ "Browning", "Colm", "" ], [ "Pascual", "M. Deseada Gutierrez", "" ], [ "Zhu", "Ziyi", "" ], [ "Bergman", "Keren", "...
Due to the growing popularity of optical superchannels and software defined networking, reconfigurable optical add-drop multiplexer (ROADM) architectures for superchannel switching have recently attracted significant attention. ROADMs based on micro electro-mechanical system (MEMS) and liquid crystal-on-silicon (LCoS) ...
1703.03442
Vanessa Ferdinand PhD
Vanessa Ferdinand, Simon Kirby, Kenny Smith
The cognitive roots of regularization in language
21 pages
null
null
null
cs.CL q-bio.NC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Regularization occurs when the output a learner produces is less variable than the linguistic data they observed. In an artificial language learning experiment, we show that there exist at least two independent sources of regularization bias in cognition: a domain-general source based on cognitive load and a domain-s...
[ { "created": "Thu, 9 Mar 2017 19:50:00 GMT", "version": "v1" }, { "created": "Thu, 18 Oct 2018 21:33:46 GMT", "version": "v2" } ]
2018-10-22
[ [ "Ferdinand", "Vanessa", "" ], [ "Kirby", "Simon", "" ], [ "Smith", "Kenny", "" ] ]
Regularization occurs when the output a learner produces is less variable than the linguistic data they observed. In an artificial language learning experiment, we show that there exist at least two independent sources of regularization bias in cognition: a domain-general source based on cognitive load and a domain-spe...
1610.01784
Qiang Wang
Xinxin Mei, Qiang Wang, Xiaowen Chu
A Survey and Measurement Study of GPU DVFS on Energy Conservation
null
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Energy efficiency has become one of the top design criteria for current computing systems. The dynamic voltage and frequency scaling (DVFS) has been widely adopted by laptop computers, servers, and mobile devices to conserve energy, while the GPU DVFS is still at a certain early age. This paper aims at exploring the ...
[ { "created": "Thu, 6 Oct 2016 09:21:22 GMT", "version": "v1" } ]
2016-10-07
[ [ "Mei", "Xinxin", "" ], [ "Wang", "Qiang", "" ], [ "Chu", "Xiaowen", "" ] ]
Energy efficiency has become one of the top design criteria for current computing systems. The dynamic voltage and frequency scaling (DVFS) has been widely adopted by laptop computers, servers, and mobile devices to conserve energy, while the GPU DVFS is still at a certain early age. This paper aims at exploring the im...
2006.15000
Vadim Malvone
Francesco Belardinelli, Catalin Dima, Vadim Malvone, and Ferucio Tiplea
A Hennessy-Milner Theorem for ATL with Imperfect Information
null
null
null
null
cs.LO cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We show that a history-based variant of alternating bisimulation with imperfect information allows it to be related to a variant of Alternating-time Temporal Logic (ATL) with imperfect information by a full Hennessy-Milner theorem. The variant of ATL we consider has a common knowledge semantics, which requires that t...
[ { "created": "Fri, 26 Jun 2020 14:12:11 GMT", "version": "v1" } ]
2020-06-29
[ [ "Belardinelli", "Francesco", "" ], [ "Dima", "Catalin", "" ], [ "Malvone", "Vadim", "" ], [ "Tiplea", "Ferucio", "" ] ]
We show that a history-based variant of alternating bisimulation with imperfect information allows it to be related to a variant of Alternating-time Temporal Logic (ATL) with imperfect information by a full Hennessy-Milner theorem. The variant of ATL we consider has a common knowledge semantics, which requires that the...
2203.09711
Sarik Ghazarian
Sarik Ghazarian, Nuan Wen, Aram Galstyan, Nanyun Peng
DEAM: Dialogue Coherence Evaluation using AMR-based Semantic Manipulations
Association for Computational Linguistics (ACL 2022)
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Automatic evaluation metrics are essential for the rapid development of open-domain dialogue systems as they facilitate hyper-parameter tuning and comparison between models. Although recently proposed trainable conversation-level metrics have shown encouraging results, the quality of the metrics is strongly dependent...
[ { "created": "Fri, 18 Mar 2022 03:11:35 GMT", "version": "v1" } ]
2022-03-21
[ [ "Ghazarian", "Sarik", "" ], [ "Wen", "Nuan", "" ], [ "Galstyan", "Aram", "" ], [ "Peng", "Nanyun", "" ] ]
Automatic evaluation metrics are essential for the rapid development of open-domain dialogue systems as they facilitate hyper-parameter tuning and comparison between models. Although recently proposed trainable conversation-level metrics have shown encouraging results, the quality of the metrics is strongly dependent o...
1712.10107
Saeedeh Ziyabari
Saeedeh Ziyabari, Vinit Shah, Meysam Golmohammadi, Iyad Obeid and Joseph Picone
Objective evaluation metrics for automatic classification of EEG events
22 pages, 11 figures, 9 tables
null
null
null
cs.LG eess.SP stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The evaluation of machine learning algorithms in biomedical fields for applications involving sequential data lacks standardization. Common quantitative scalar evaluation metrics such as sensitivity and specificity can often be misleading depending on the requirements of the application. Evaluation metrics must ultim...
[ { "created": "Fri, 29 Dec 2017 03:36:46 GMT", "version": "v1" }, { "created": "Fri, 18 Oct 2019 07:03:06 GMT", "version": "v2" }, { "created": "Mon, 2 Dec 2019 17:27:35 GMT", "version": "v3" } ]
2019-12-03
[ [ "Ziyabari", "Saeedeh", "" ], [ "Shah", "Vinit", "" ], [ "Golmohammadi", "Meysam", "" ], [ "Obeid", "Iyad", "" ], [ "Picone", "Joseph", "" ] ]
The evaluation of machine learning algorithms in biomedical fields for applications involving sequential data lacks standardization. Common quantitative scalar evaluation metrics such as sensitivity and specificity can often be misleading depending on the requirements of the application. Evaluation metrics must ultimat...
2110.11790
Guillaume Baudart
Guillaume Baudart and Louis Mandel
Automatic Guide Generation for Stan via NumPyro
PROBPROG 2021
null
null
null
cs.PL
http://creativecommons.org/licenses/by/4.0/
Stan is a very popular probabilistic language with a state-of-the-art HMC sampler but it only offers a limited choice of algorithms for black-box variational inference. In this paper, we show that using our recently proposed compiler from Stan to Pyro, Stan users can easily try the set of algorithms implemented in Py...
[ { "created": "Fri, 22 Oct 2021 13:42:48 GMT", "version": "v1" } ]
2021-10-25
[ [ "Baudart", "Guillaume", "" ], [ "Mandel", "Louis", "" ] ]
Stan is a very popular probabilistic language with a state-of-the-art HMC sampler but it only offers a limited choice of algorithms for black-box variational inference. In this paper, we show that using our recently proposed compiler from Stan to Pyro, Stan users can easily try the set of algorithms implemented in Pyro...
2303.12798
Yimin Dai
Yimin Dai and Xian Shuai and Rui Tan and Guoliang Xing
Interpersonal Distance Tracking with mmWave Radar and IMUs
null
null
null
null
cs.NI cs.LG cs.SY eess.SY
http://creativecommons.org/licenses/by-nc-nd/4.0/
Tracking interpersonal distances is essential for real-time social distancing management and {\em ex-post} contact tracing to prevent spreads of contagious diseases. Bluetooth neighbor discovery has been employed for such purposes in combating COVID-19, but does not provide satisfactory spatiotemporal resolutions. Th...
[ { "created": "Tue, 28 Feb 2023 15:44:17 GMT", "version": "v1" } ]
2023-03-24
[ [ "Dai", "Yimin", "" ], [ "Shuai", "Xian", "" ], [ "Tan", "Rui", "" ], [ "Xing", "Guoliang", "" ] ]
Tracking interpersonal distances is essential for real-time social distancing management and {\em ex-post} contact tracing to prevent spreads of contagious diseases. Bluetooth neighbor discovery has been employed for such purposes in combating COVID-19, but does not provide satisfactory spatiotemporal resolutions. This...
1811.05894
Daniil Osokin
Alexander Kozlov, Daniil Osokin
Development of Real-time ADAS Object Detector for Deployment on CPU
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
In this work, we outline the set of problems, which any Object Detection CNN faces when its development comes to the deployment stage and propose methods to deal with such difficulties. We show that these practices allow one to get Object Detection network, which can recognize two classes: vehicles and pedestrians an...
[ { "created": "Wed, 14 Nov 2018 16:37:09 GMT", "version": "v1" } ]
2018-11-15
[ [ "Kozlov", "Alexander", "" ], [ "Osokin", "Daniil", "" ] ]
In this work, we outline the set of problems, which any Object Detection CNN faces when its development comes to the deployment stage and propose methods to deal with such difficulties. We show that these practices allow one to get Object Detection network, which can recognize two classes: vehicles and pedestrians and ...
1210.6157
Nishtha Kesswani
Vibekananda Dutta, Dr Nishtha Kesswani, Deepti Gahalot
Novel Architecture for 3D model in virtual communities from detected face
7 pages
http://www.ijascse.in/publications-2012--2
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this research paper we suggest how to extract a face from an image, modify it, characterize it in terms of high-level properties, and apply it to the creation of a personalized avatar. In this research work we tested, we implemented the algorithm on several hundred facial images, including many taken under uncontr...
[ { "created": "Tue, 23 Oct 2012 07:57:24 GMT", "version": "v1" } ]
2012-10-24
[ [ "Dutta", "Vibekananda", "" ], [ "Kesswani", "Dr Nishtha", "" ], [ "Gahalot", "Deepti", "" ] ]
In this research paper we suggest how to extract a face from an image, modify it, characterize it in terms of high-level properties, and apply it to the creation of a personalized avatar. In this research work we tested, we implemented the algorithm on several hundred facial images, including many taken under uncontrol...
2306.00275
Changhao Wu
Changhao Wu and Yuanchun Li and Mengwei Xu and Chongbin Guo and Zengshan Yin and Weiwei Gao and Chuanxiu Chi
A Comprehensive Survey on Orbital Edge Computing: Systems, Applications, and Algorithms
18 pages, 9 figures and 5 tables
null
null
null
cs.DC
http://creativecommons.org/licenses/by-sa/4.0/
The number of satellites, especially those operating in low-earth orbit (LEO), is exploding in recent years. Additionally, the use of COTS hardware into those satellites enables a new paradigm of computing: orbital edge computing (OEC). OEC entails more technically advanced steps compared to single-satellite computin...
[ { "created": "Thu, 1 Jun 2023 01:37:33 GMT", "version": "v1" }, { "created": "Fri, 2 Jun 2023 01:11:40 GMT", "version": "v2" } ]
2023-06-05
[ [ "Wu", "Changhao", "" ], [ "Li", "Yuanchun", "" ], [ "Xu", "Mengwei", "" ], [ "Guo", "Chongbin", "" ], [ "Yin", "Zengshan", "" ], [ "Gao", "Weiwei", "" ], [ "Chi", "Chuanxiu", "" ] ]
The number of satellites, especially those operating in low-earth orbit (LEO), is exploding in recent years. Additionally, the use of COTS hardware into those satellites enables a new paradigm of computing: orbital edge computing (OEC). OEC entails more technically advanced steps compared to single-satellite computing....
1711.06491
J. D. Curt\'o
J. D. Curt\'o and I. C. Zarza and Fernando de la Torre and Irwin King and Michael R. Lyu
High-resolution Deep Convolutional Generative Adversarial Networks
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Generative Adversarial Networks (GANs) [Goodfellow et al. 2014] convergence in a high-resolution setting with a computational constrain of GPU memory capacity has been beset with difficulty due to the known lack of convergence rate stability. In order to boost network convergence of DCGAN (Deep Convolutional Generati...
[ { "created": "Fri, 17 Nov 2017 10:47:08 GMT", "version": "v1" }, { "created": "Sat, 26 May 2018 15:26:47 GMT", "version": "v10" }, { "created": "Thu, 31 May 2018 06:25:31 GMT", "version": "v11" }, { "created": "Sun, 10 Jun 2018 12:23:26 GMT", "version": "v12" }, { ...
2020-04-20
[ [ "Curtó", "J. D.", "" ], [ "Zarza", "I. C.", "" ], [ "de la Torre", "Fernando", "" ], [ "King", "Irwin", "" ], [ "Lyu", "Michael R.", "" ] ]
Generative Adversarial Networks (GANs) [Goodfellow et al. 2014] convergence in a high-resolution setting with a computational constrain of GPU memory capacity has been beset with difficulty due to the known lack of convergence rate stability. In order to boost network convergence of DCGAN (Deep Convolutional Generative...
2103.14232
Chi Zhang
Chi Zhang, Baoxiong Jia, Mark Edmonds, Song-Chun Zhu, Yixin Zhu
ACRE: Abstract Causal REasoning Beyond Covariation
CVPR 2021 paper. Supplementary: http://wellyzhang.github.io/attach/cvpr21zhang_acre_supp.pdf Project: http://wellyzhang.github.io/project/acre.html
null
null
null
cs.CV cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Causal induction, i.e., identifying unobservable mechanisms that lead to the observable relations among variables, has played a pivotal role in modern scientific discovery, especially in scenarios with only sparse and limited data. Humans, even young toddlers, can induce causal relationships surprisingly well in vari...
[ { "created": "Fri, 26 Mar 2021 02:42:38 GMT", "version": "v1" } ]
2021-03-29
[ [ "Zhang", "Chi", "" ], [ "Jia", "Baoxiong", "" ], [ "Edmonds", "Mark", "" ], [ "Zhu", "Song-Chun", "" ], [ "Zhu", "Yixin", "" ] ]
Causal induction, i.e., identifying unobservable mechanisms that lead to the observable relations among variables, has played a pivotal role in modern scientific discovery, especially in scenarios with only sparse and limited data. Humans, even young toddlers, can induce causal relationships surprisingly well in variou...
2112.11572
Qian Yang
Maryam Pardakhti, Nila Mandal, Anson W. K. Ma and Qian Yang
Practical Active Learning with Model Selection for Small Data
Accepted for publication in the Proceedings of the 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)
null
10.1109/ICMLA52953.2021.00263
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Active learning is of great interest for many practical applications, especially in industry and the physical sciences, where there is a strong need to minimize the number of costly experiments necessary to train predictive models. However, there remain significant challenges for the adoption of active learning metho...
[ { "created": "Tue, 21 Dec 2021 23:11:27 GMT", "version": "v1" } ]
2021-12-23
[ [ "Pardakhti", "Maryam", "" ], [ "Mandal", "Nila", "" ], [ "Ma", "Anson W. K.", "" ], [ "Yang", "Qian", "" ] ]
Active learning is of great interest for many practical applications, especially in industry and the physical sciences, where there is a strong need to minimize the number of costly experiments necessary to train predictive models. However, there remain significant challenges for the adoption of active learning methods...
2401.07586
Muhammad Asif Khan
Muhammad Asif Khan, Hamid Menouar, Ridha Hamila
Curriculum for Crowd Counting -- Is it Worthy?
Accepted version of the paper in 19th International Conference on Computer Vision Theory and Applications (VISAPP), Rome, Italy, 27-19 February 2024
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by/4.0/
Recent advances in deep learning techniques have achieved remarkable performance in several computer vision problems. A notably intuitive technique called Curriculum Learning (CL) has been introduced recently for training deep learning models. Surprisingly, curriculum learning achieves significantly improved results ...
[ { "created": "Mon, 15 Jan 2024 10:46:01 GMT", "version": "v1" } ]
2024-01-17
[ [ "Khan", "Muhammad Asif", "" ], [ "Menouar", "Hamid", "" ], [ "Hamila", "Ridha", "" ] ]
Recent advances in deep learning techniques have achieved remarkable performance in several computer vision problems. A notably intuitive technique called Curriculum Learning (CL) has been introduced recently for training deep learning models. Surprisingly, curriculum learning achieves significantly improved results in...
1809.07702
Kun Cheng
Kun Cheng, Weiyue Liu, Qi Shen and Shengkai Liao
Design and Implementation of High-throughput PCIe with DMA Architecture between FPGA and PowerPC
null
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We designed and implemented a direct memory access (DMA) architecture of PCI-Express(PCIe) between Xilinx Field Program Gate Array(FPGA) and Freescale PowerPC. The DMA architecture based on FPGA is compatible with the Xilinx PCIe core while the DMA architecture based on POWERPC is compatible with VxBus of VxWorks. Th...
[ { "created": "Mon, 17 Sep 2018 13:22:53 GMT", "version": "v1" } ]
2018-09-21
[ [ "Cheng", "Kun", "" ], [ "Liu", "Weiyue", "" ], [ "Shen", "Qi", "" ], [ "Liao", "Shengkai", "" ] ]
We designed and implemented a direct memory access (DMA) architecture of PCI-Express(PCIe) between Xilinx Field Program Gate Array(FPGA) and Freescale PowerPC. The DMA architecture based on FPGA is compatible with the Xilinx PCIe core while the DMA architecture based on POWERPC is compatible with VxBus of VxWorks. The ...
1807.07363
Kleanthis Thramboulidis
Kleanthis Thramboulidis, Danai C. Vachtsevanou, Ioanna Kontou
CPuS-IoT : A Cyber-Physical Microservice and IoT-based Framework for Manufacturing Assembly Systems
14 pages, 16 figures, Journal submission
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Today's customers are characterized by individual requirements that lead the manufacturing industry to increased product variety and volume reduction. Manufacturing systems and more specifically assembly systems (ASs) should allow quick adaptation of manufacturing assets so as to respond to the evolving market requir...
[ { "created": "Thu, 19 Jul 2018 12:35:03 GMT", "version": "v1" }, { "created": "Tue, 12 Feb 2019 11:38:44 GMT", "version": "v2" } ]
2019-02-13
[ [ "Thramboulidis", "Kleanthis", "" ], [ "Vachtsevanou", "Danai C.", "" ], [ "Kontou", "Ioanna", "" ] ]
Today's customers are characterized by individual requirements that lead the manufacturing industry to increased product variety and volume reduction. Manufacturing systems and more specifically assembly systems (ASs) should allow quick adaptation of manufacturing assets so as to respond to the evolving market requirem...
2401.02008
Farhad Pourkamali-Anaraki
Farhad Pourkamali-Anaraki, Jamal F. Husseini, Evan J. Pineda, Brett A. Bednarcyk, Scott E. Stapleton
Two-Stage Surrogate Modeling for Data-Driven Design Optimization with Application to Composite Microstructure Generation
23 pages, 11 figures
null
null
null
cs.LG cs.CE
http://creativecommons.org/licenses/by/4.0/
This paper introduces a novel two-stage machine learning-based surrogate modeling framework to address inverse problems in scientific and engineering fields. In the first stage of the proposed framework, a machine learning model termed the "learner" identifies a limited set of candidates within the input design space...
[ { "created": "Thu, 4 Jan 2024 00:25:12 GMT", "version": "v1" } ]
2024-01-05
[ [ "Pourkamali-Anaraki", "Farhad", "" ], [ "Husseini", "Jamal F.", "" ], [ "Pineda", "Evan J.", "" ], [ "Bednarcyk", "Brett A.", "" ], [ "Stapleton", "Scott E.", "" ] ]
This paper introduces a novel two-stage machine learning-based surrogate modeling framework to address inverse problems in scientific and engineering fields. In the first stage of the proposed framework, a machine learning model termed the "learner" identifies a limited set of candidates within the input design space w...
2209.06750
Oscar Araque
Oscar Araque, Lorenzo Gatti and Kyriaki Kalimeri
LibertyMFD: A Lexicon to Assess the Moral Foundation of Liberty
GoodIT '22: Proceedings of the 2022 ACM Conference on Information Technology for Social Good. GoodIT'22, September 7-9, 2022, Limassol, Cyprus
Conference on Information Technology for Social Good (GoodIT'22), September 7-9, 2022, Limassol, Cyprus. ACM, New York, NY, USA, 7 pages
10.1145/3524458.3547264
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Quantifying the moral narratives expressed in the user-generated text, news, or public discourses is fundamental for understanding individuals' concerns and viewpoints and preventing violent protests and social polarisation. The Moral Foundation Theory (MFT) was developed to operationalise morality in a five-dimensio...
[ { "created": "Wed, 14 Sep 2022 16:14:54 GMT", "version": "v1" } ]
2022-09-15
[ [ "Araque", "Oscar", "" ], [ "Gatti", "Lorenzo", "" ], [ "Kalimeri", "Kyriaki", "" ] ]
Quantifying the moral narratives expressed in the user-generated text, news, or public discourses is fundamental for understanding individuals' concerns and viewpoints and preventing violent protests and social polarisation. The Moral Foundation Theory (MFT) was developed to operationalise morality in a five-dimensiona...
1607.05994
Omer Gold
Omer Gold and Micha Sharir
Dynamic Time Warping and Geometric Edit Distance: Breaking the Quadratic Barrier
Removing the $\log\log\log n$ factor from the runtime bound that appeared in previous versions
null
null
null
cs.DS cs.CG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Dynamic Time Warping (DTW) and Geometric Edit Distance (GED) are basic similarity measures between curves or general temporal sequences (e.g., time series) that are represented as sequences of points in some metric space $(X, \mathrm{dist})$. The DTW and GED measures are massively used in various fields of computer s...
[ { "created": "Wed, 20 Jul 2016 15:15:44 GMT", "version": "v1" }, { "created": "Mon, 15 Aug 2016 13:53:52 GMT", "version": "v2" }, { "created": "Sat, 5 Nov 2016 11:07:42 GMT", "version": "v3" }, { "created": "Tue, 28 Jan 2020 10:45:55 GMT", "version": "v4" } ]
2020-01-29
[ [ "Gold", "Omer", "" ], [ "Sharir", "Micha", "" ] ]
Dynamic Time Warping (DTW) and Geometric Edit Distance (GED) are basic similarity measures between curves or general temporal sequences (e.g., time series) that are represented as sequences of points in some metric space $(X, \mathrm{dist})$. The DTW and GED measures are massively used in various fields of computer sci...
2207.04307
Taha Belkhouja
Taha Belkhouja, Janardhan Rao Doppa
Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features
Published at Journal of Artificial Intelligence Research
Journal of Artificial Intelligence Research, 73, 1435-1471, 2022
10.1613/jair.1.13543
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Time-series data arises in many real-world applications (e.g., mobile health) and deep neural networks (DNNs) have shown great success in solving them. Despite their success, little is known about their robustness to adversarial attacks. In this paper, we propose a novel adversarial framework referred to as Time-Seri...
[ { "created": "Sat, 9 Jul 2022 17:22:34 GMT", "version": "v1" } ]
2022-07-12
[ [ "Belkhouja", "Taha", "" ], [ "Doppa", "Janardhan Rao", "" ] ]
Time-series data arises in many real-world applications (e.g., mobile health) and deep neural networks (DNNs) have shown great success in solving them. Despite their success, little is known about their robustness to adversarial attacks. In this paper, we propose a novel adversarial framework referred to as Time-Series...
2402.16304
Wonbin Kweon
Wonbin Kweon, SeongKu Kang, Sanghwan Jang, Hwanjo Yu
Top-Personalized-K Recommendation
WWW 2024
null
10.1145/3589334.3645417
null
cs.IR
http://creativecommons.org/licenses/by/4.0/
The conventional top-K recommendation, which presents the top-K items with the highest ranking scores, is a common practice for generating personalized ranking lists. However, is this fixed-size top-K recommendation the optimal approach for every user's satisfaction? Not necessarily. We point out that providing fixed...
[ { "created": "Mon, 26 Feb 2024 05:03:54 GMT", "version": "v1" } ]
2024-02-27
[ [ "Kweon", "Wonbin", "" ], [ "Kang", "SeongKu", "" ], [ "Jang", "Sanghwan", "" ], [ "Yu", "Hwanjo", "" ] ]
The conventional top-K recommendation, which presents the top-K items with the highest ranking scores, is a common practice for generating personalized ranking lists. However, is this fixed-size top-K recommendation the optimal approach for every user's satisfaction? Not necessarily. We point out that providing fixed-s...
2402.07242
Tommaso Boccato
Tommaso Boccato, Matteo Ferrante, Nicola Toschi
Optimizing Genetically-Driven Synaptogenesis
null
null
null
null
cs.NE q-bio.NC
http://creativecommons.org/licenses/by-nc-sa/4.0/
In this paper we introduce SynaptoGen, a novel framework that aims to bridge the gap between genetic manipulations and neuronal network behavior by simulating synaptogenesis and guiding the development of neuronal networks capable of solving predetermined computational tasks. Drawing inspiration from recent advanceme...
[ { "created": "Sun, 11 Feb 2024 16:49:12 GMT", "version": "v1" } ]
2024-02-13
[ [ "Boccato", "Tommaso", "" ], [ "Ferrante", "Matteo", "" ], [ "Toschi", "Nicola", "" ] ]
In this paper we introduce SynaptoGen, a novel framework that aims to bridge the gap between genetic manipulations and neuronal network behavior by simulating synaptogenesis and guiding the development of neuronal networks capable of solving predetermined computational tasks. Drawing inspiration from recent advancement...
2006.11159
Martin Van Harmelen
Martin van Harmelen, Jonas Groschwitz
Graphs with Multiple Sources per Vertex
Supervision by Jonas Groschwitz
null
null
null
cs.LO cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Several attempts have been made at constructing Abstract Meaning Representations (AMRs) compositionally, and recently the idea of using s-graphs with the HR-algebra (Koller, 2015) has been simplified to reduce the number of options when parsing (Groschwitz et al., 2017). This apply-modify algebra (AM-algebra) is a li...
[ { "created": "Fri, 19 Jun 2020 14:43:12 GMT", "version": "v1" } ]
2020-06-22
[ [ "van Harmelen", "Martin", "" ], [ "Groschwitz", "Jonas", "" ] ]
Several attempts have been made at constructing Abstract Meaning Representations (AMRs) compositionally, and recently the idea of using s-graphs with the HR-algebra (Koller, 2015) has been simplified to reduce the number of options when parsing (Groschwitz et al., 2017). This apply-modify algebra (AM-algebra) is a ling...