id
stringlengths
9
10
submitter
stringlengths
1
64
authors
stringlengths
4
20.7k
title
stringlengths
4
246
comments
stringlengths
1
523
journal-ref
stringlengths
4
404
doi
stringlengths
11
153
report-no
stringlengths
2
254
categories
stringlengths
5
98
license
stringclasses
9 values
orig_abstract
stringlengths
14
3.35k
versions
listlengths
1
60
update_date
stringlengths
10
10
authors_parsed
listlengths
1
1.35k
abstract
stringlengths
11
3.34k
1107.2336
Nikolaos Nikolaidis
N. S. Nikolaidis, I. N. Nikolaidis and C. C. Tsouros
A Variation of the Box-Counting Algorithm Applied to Colour Images
10 pages, 3 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The box counting method for fractal dimension estimation had not been applied to large or colour images thus far due to the processing time required. In this letter we present a fast, easy to implement and very easily expandable to any number of dimensions variation, the box merging method. It is applied here in RGB ...
[ { "created": "Tue, 12 Jul 2011 16:21:06 GMT", "version": "v1" } ]
2011-07-13
[ [ "Nikolaidis", "N. S.", "" ], [ "Nikolaidis", "I. N.", "" ], [ "Tsouros", "C. C.", "" ] ]
The box counting method for fractal dimension estimation had not been applied to large or colour images thus far due to the processing time required. In this letter we present a fast, easy to implement and very easily expandable to any number of dimensions variation, the box merging method. It is applied here in RGB im...
2402.16508
Fan Jiang
Fan Jiang, Tom Drummond, Trevor Cohn
Pre-training Cross-lingual Open Domain Question Answering with Large-scale Synthetic Supervision
null
null
null
null
cs.CL cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cross-lingual open domain question answering (CLQA) is a complex problem, comprising cross-lingual retrieval from a multilingual knowledge base, followed by answer generation in the query language. Both steps are usually tackled by separate models, requiring substantial annotated datasets, and typically auxiliary res...
[ { "created": "Mon, 26 Feb 2024 11:42:29 GMT", "version": "v1" }, { "created": "Sun, 16 Jun 2024 08:18:25 GMT", "version": "v2" } ]
2024-06-18
[ [ "Jiang", "Fan", "" ], [ "Drummond", "Tom", "" ], [ "Cohn", "Trevor", "" ] ]
Cross-lingual open domain question answering (CLQA) is a complex problem, comprising cross-lingual retrieval from a multilingual knowledge base, followed by answer generation in the query language. Both steps are usually tackled by separate models, requiring substantial annotated datasets, and typically auxiliary resou...
1606.02033
Mingquan Zhong
Mingquan Zhong, Suzhi Bi, and Xiaohui Lin
User Cooperation for Enhanced Throughput Fairness in Wireless Powered Communication Networks
This paper has been accepted by the IEEE International Conference on Telecommunications (ICT), Thessaloniki, Greece, May 16-18, 2016
null
10.1109/ICT.2016.7500446
null
cs.IT cs.NI math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper studies a novel user cooperation method in a wireless powered communication network (WPCN), where a pair of distributed terminal users first harvest wireless energy broadcasted by one energy node (EN) and then use the harvested energy to transmit information cooperatively to a destination node (DN). In par...
[ { "created": "Tue, 7 Jun 2016 06:03:45 GMT", "version": "v1" }, { "created": "Fri, 28 Oct 2016 17:41:58 GMT", "version": "v2" } ]
2016-11-18
[ [ "Zhong", "Mingquan", "" ], [ "Bi", "Suzhi", "" ], [ "Lin", "Xiaohui", "" ] ]
This paper studies a novel user cooperation method in a wireless powered communication network (WPCN), where a pair of distributed terminal users first harvest wireless energy broadcasted by one energy node (EN) and then use the harvested energy to transmit information cooperatively to a destination node (DN). In parti...
2109.06873
Ranganath Krishnan
Ranganath Krishnan, Nilesh Ahuja, Alok Sinha, Mahesh Subedar, Omesh Tickoo, Ravi Iyer
Robust Contrastive Active Learning with Feature-guided Query Strategies
20 pages with appendix. arXiv admin note: text overlap with arXiv:2109.06321
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce supervised contrastive active learning (SCAL) and propose efficient query strategies in active learning based on the feature similarity (featuresim) and principal component analysis based feature-reconstruction error (fre) to select informative data samples with diverse feature representations. We demons...
[ { "created": "Mon, 13 Sep 2021 21:09:21 GMT", "version": "v1" }, { "created": "Sun, 14 Aug 2022 19:39:03 GMT", "version": "v2" } ]
2022-08-16
[ [ "Krishnan", "Ranganath", "" ], [ "Ahuja", "Nilesh", "" ], [ "Sinha", "Alok", "" ], [ "Subedar", "Mahesh", "" ], [ "Tickoo", "Omesh", "" ], [ "Iyer", "Ravi", "" ] ]
We introduce supervised contrastive active learning (SCAL) and propose efficient query strategies in active learning based on the feature similarity (featuresim) and principal component analysis based feature-reconstruction error (fre) to select informative data samples with diverse feature representations. We demonstr...
2103.10277
Sergio Martiradonna
Sergio Martiradonna, Andrea Abrardo, Marco Moretti, Giuseppe Piro, Gennaro Boggia
Deep Reinforcement Learning-Aided RAN Slicing Enforcement for B5G Latency Sensitive Services
null
null
null
null
cs.NI cs.AI cs.LG cs.PF
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The combination of cloud computing capabilities at the network edge and artificial intelligence promise to turn future mobile networks into service- and radio-aware entities, able to address the requirements of upcoming latency-sensitive applications. In this context, a challenging research goal is to exploit edge in...
[ { "created": "Thu, 18 Mar 2021 14:18:34 GMT", "version": "v1" } ]
2021-03-19
[ [ "Martiradonna", "Sergio", "" ], [ "Abrardo", "Andrea", "" ], [ "Moretti", "Marco", "" ], [ "Piro", "Giuseppe", "" ], [ "Boggia", "Gennaro", "" ] ]
The combination of cloud computing capabilities at the network edge and artificial intelligence promise to turn future mobile networks into service- and radio-aware entities, able to address the requirements of upcoming latency-sensitive applications. In this context, a challenging research goal is to exploit edge inte...
2307.14446
Reza Azad
Sanaz Karimijafarbigloo and Reza Azad and Dorit Merhof
Self-supervised Few-shot Learning for Semantic Segmentation: An Annotation-free Approach
MICCAI 2023 workshop PRIME
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Few-shot semantic segmentation (FSS) offers immense potential in the field of medical image analysis, enabling accurate object segmentation with limited training data. However, existing FSS techniques heavily rely on annotated semantic classes, rendering them unsuitable for medical images due to the scarcity of annot...
[ { "created": "Wed, 26 Jul 2023 18:33:30 GMT", "version": "v1" } ]
2023-07-28
[ [ "Karimijafarbigloo", "Sanaz", "" ], [ "Azad", "Reza", "" ], [ "Merhof", "Dorit", "" ] ]
Few-shot semantic segmentation (FSS) offers immense potential in the field of medical image analysis, enabling accurate object segmentation with limited training data. However, existing FSS techniques heavily rely on annotated semantic classes, rendering them unsuitable for medical images due to the scarcity of annotat...
1911.08793
Neema Kachappilly Davis
Neema Davis, Gaurav Raina, Krishna Jagannathan
A Framework for End-to-End Deep Learning-Based Anomaly Detection in Transportation Networks
Preprint submitted to Elsevier TRIP. arXiv admin note: text overlap with arXiv:1909.06041
null
null
null
cs.LG eess.SP stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We develop an end-to-end deep learning-based anomaly detection model for temporal data in transportation networks. The proposed EVT-LSTM model is derived from the popular LSTM (Long Short-Term Memory) network and adopts an objective function that is based on fundamental results from EVT (Extreme Value Theory). We com...
[ { "created": "Wed, 20 Nov 2019 09:49:58 GMT", "version": "v1" } ]
2019-11-21
[ [ "Davis", "Neema", "" ], [ "Raina", "Gaurav", "" ], [ "Jagannathan", "Krishna", "" ] ]
We develop an end-to-end deep learning-based anomaly detection model for temporal data in transportation networks. The proposed EVT-LSTM model is derived from the popular LSTM (Long Short-Term Memory) network and adopts an objective function that is based on fundamental results from EVT (Extreme Value Theory). We compa...
1507.04603
Xinyu Gao
Xinyu Gao, Linglong Dai, Chau Yuen, and Zhaocheng Wang
Turbo-Like Beamforming Based on Tabu Search Algorithm for Millimeter-Wave Massive MIMO Systems
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
For millimeter-wave (mmWave) massive MIMO systems, the codebook-based analog beamforming (including transmit precoding and receive combining) is usually used to compensate the severe attenuation of mmWave signals. However, conventional beamforming schemes involve complicated search among pre-defined codebooks to find...
[ { "created": "Thu, 16 Jul 2015 14:47:35 GMT", "version": "v1" } ]
2015-07-17
[ [ "Gao", "Xinyu", "" ], [ "Dai", "Linglong", "" ], [ "Yuen", "Chau", "" ], [ "Wang", "Zhaocheng", "" ] ]
For millimeter-wave (mmWave) massive MIMO systems, the codebook-based analog beamforming (including transmit precoding and receive combining) is usually used to compensate the severe attenuation of mmWave signals. However, conventional beamforming schemes involve complicated search among pre-defined codebooks to find o...
1104.1506
Jocelyne Troccaz
Michael Baumann (TIMC), Michel Bolla, Vincent Daanen, Jean-Luc Descotes, Jean-Yves Giraud, Nikolai Hungr (TIMC), Antoine Leroy, Jean-Alexandre Long, S\'ebastien Martin (TIMC), Jocelyne Troccaz (TIMC)
Prosper: image and robot-guided prostate brachytherapy
null
null
null
null
cs.RO physics.med-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Brachytherapy for localized prostate cancer consists in destroying cancer by introducing iodine radioactive seeds into the gland through hollow needles. The planning of the position of the seeds and their introduction into the prostate is based on intra-operative ultrasound (US) imaging. We propose to optimize the gl...
[ { "created": "Fri, 8 Apr 2011 07:37:30 GMT", "version": "v1" } ]
2011-04-11
[ [ "Baumann", "Michael", "", "TIMC" ], [ "Bolla", "Michel", "", "TIMC" ], [ "Daanen", "Vincent", "", "TIMC" ], [ "Descotes", "Jean-Luc", "", "TIMC" ], [ "Giraud", "Jean-Yves", "", "TIMC" ], [ "Hungr", "Nikolai...
Brachytherapy for localized prostate cancer consists in destroying cancer by introducing iodine radioactive seeds into the gland through hollow needles. The planning of the position of the seeds and their introduction into the prostate is based on intra-operative ultrasound (US) imaging. We propose to optimize the glob...
1912.05571
Iman Tabrizian
Saeedeh Parsaeefard, Iman Tabrizian, Alberto Leon Garcia
Representation of Federated Learning via Worst-Case Robust Optimization Theory
null
null
null
null
cs.LG cs.DC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Federated learning (FL) is a distributed learning approach where a set of end-user devices participate in the learning process by acting on their isolated local data sets. Here, we process local data sets of users where worst-case optimization theory is used to reformulate the FL problem where the impact of local dat...
[ { "created": "Wed, 11 Dec 2019 19:02:49 GMT", "version": "v1" } ]
2019-12-13
[ [ "Parsaeefard", "Saeedeh", "" ], [ "Tabrizian", "Iman", "" ], [ "Garcia", "Alberto Leon", "" ] ]
Federated learning (FL) is a distributed learning approach where a set of end-user devices participate in the learning process by acting on their isolated local data sets. Here, we process local data sets of users where worst-case optimization theory is used to reformulate the FL problem where the impact of local data ...
1904.11578
Guo YuHu
Yuhu Guo, Han Xiao, Yidong Chen, Xiaodong Shi
Asynchronous "Events" are Better For Motion Estimation
Submitted at IJCAI 2019
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Event-based camera is a bio-inspired vision sensor that records intensity changes (called event) asynchronously in each pixel. As an instance of event-based camera, Dynamic and Active-pixel Vision Sensor (DAVIS) combines a standard camera and an event-based camera. However, traditional models could not deal with the ...
[ { "created": "Wed, 24 Apr 2019 02:10:10 GMT", "version": "v1" } ]
2019-04-29
[ [ "Guo", "Yuhu", "" ], [ "Xiao", "Han", "" ], [ "Chen", "Yidong", "" ], [ "Shi", "Xiaodong", "" ] ]
Event-based camera is a bio-inspired vision sensor that records intensity changes (called event) asynchronously in each pixel. As an instance of event-based camera, Dynamic and Active-pixel Vision Sensor (DAVIS) combines a standard camera and an event-based camera. However, traditional models could not deal with the ev...
2107.14230
Dongdong Chen
Shuquan Ye and Dongdong Chen and Songfang Han and Jing Liao
Learning with Noisy Labels for Robust Point Cloud Segmentation
Typos fixed. ICCV 2021 Oral, Relabeled ScanNetV2 and code are available at https://shuquanye.com/PNAL_website/
null
null
null
cs.CV cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Point cloud segmentation is a fundamental task in 3D. Despite recent progress on point cloud segmentation with the power of deep networks, current deep learning methods based on the clean label assumptions may fail with noisy labels. Yet, object class labels are often mislabeled in real-world point cloud datasets. In...
[ { "created": "Thu, 29 Jul 2021 17:59:54 GMT", "version": "v1" }, { "created": "Thu, 5 Aug 2021 17:59:08 GMT", "version": "v2" } ]
2021-08-06
[ [ "Ye", "Shuquan", "" ], [ "Chen", "Dongdong", "" ], [ "Han", "Songfang", "" ], [ "Liao", "Jing", "" ] ]
Point cloud segmentation is a fundamental task in 3D. Despite recent progress on point cloud segmentation with the power of deep networks, current deep learning methods based on the clean label assumptions may fail with noisy labels. Yet, object class labels are often mislabeled in real-world point cloud datasets. In t...
1703.02156
Jiaming Song
Jiaming Song, Russell Stewart, Shengjia Zhao and Stefano Ermon
On the Limits of Learning Representations with Label-Based Supervision
Submitted to ICLR 2017 Workshop Track
null
null
null
cs.LG cs.AI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Advances in neural network based classifiers have transformed automatic feature learning from a pipe dream of stronger AI to a routine and expected property of practical systems. Since the emergence of AlexNet every winning submission of the ImageNet challenge has employed end-to-end representation learning, and due ...
[ { "created": "Tue, 7 Mar 2017 00:09:31 GMT", "version": "v1" } ]
2017-03-08
[ [ "Song", "Jiaming", "" ], [ "Stewart", "Russell", "" ], [ "Zhao", "Shengjia", "" ], [ "Ermon", "Stefano", "" ] ]
Advances in neural network based classifiers have transformed automatic feature learning from a pipe dream of stronger AI to a routine and expected property of practical systems. Since the emergence of AlexNet every winning submission of the ImageNet challenge has employed end-to-end representation learning, and due to...
2212.04365
Haifeng Li
Jiawei Zhu, Mei Hong, Ronghua Du, Haifeng Li
Alleviating neighbor bias: augmenting graph self-supervise learning with structural equivalent positive samples
8 pages, 5 figures, 8 tables
null
null
null
cs.LG cs.AI cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In recent years, using a self-supervised learning framework to learn the general characteristics of graphs has been considered a promising paradigm for graph representation learning. The core of self-supervised learning strategies for graph neural networks lies in constructing suitable positive sample selection strat...
[ { "created": "Thu, 8 Dec 2022 16:04:06 GMT", "version": "v1" } ]
2022-12-09
[ [ "Zhu", "Jiawei", "" ], [ "Hong", "Mei", "" ], [ "Du", "Ronghua", "" ], [ "Li", "Haifeng", "" ] ]
In recent years, using a self-supervised learning framework to learn the general characteristics of graphs has been considered a promising paradigm for graph representation learning. The core of self-supervised learning strategies for graph neural networks lies in constructing suitable positive sample selection strateg...
2211.06233
Matias Valdenegro-Toro
Levente Foldesi and Matias Valdenegro-Toro
Comparison of Uncertainty Quantification with Deep Learning in Time Series Regression
5 pages, with appendix. RobustSeq @ NeurIPS 2022 Camera Ready
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Increasingly high-stakes decisions are made using neural networks in order to make predictions. Specifically, meteorologists and hedge funds apply these techniques to time series data. When it comes to prediction, there are certain limitations for machine learning models (such as lack of expressiveness, vulnerability...
[ { "created": "Fri, 11 Nov 2022 14:29:13 GMT", "version": "v1" } ]
2022-11-14
[ [ "Foldesi", "Levente", "" ], [ "Valdenegro-Toro", "Matias", "" ] ]
Increasingly high-stakes decisions are made using neural networks in order to make predictions. Specifically, meteorologists and hedge funds apply these techniques to time series data. When it comes to prediction, there are certain limitations for machine learning models (such as lack of expressiveness, vulnerability o...
2206.11795
Bowen Baker
Bowen Baker, Ilge Akkaya, Peter Zhokhov, Joost Huizinga, Jie Tang, Adrien Ecoffet, Brandon Houghton, Raul Sampedro, Jeff Clune
Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos
null
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Pretraining on noisy, internet-scale datasets has been heavily studied as a technique for training models with broad, general capabilities for text, images, and other modalities. However, for many sequential decision domains such as robotics, video games, and computer use, publicly available data does not contain the...
[ { "created": "Thu, 23 Jun 2022 16:01:11 GMT", "version": "v1" } ]
2022-06-24
[ [ "Baker", "Bowen", "" ], [ "Akkaya", "Ilge", "" ], [ "Zhokhov", "Peter", "" ], [ "Huizinga", "Joost", "" ], [ "Tang", "Jie", "" ], [ "Ecoffet", "Adrien", "" ], [ "Houghton", "Brandon", "" ], [ "Sampe...
Pretraining on noisy, internet-scale datasets has been heavily studied as a technique for training models with broad, general capabilities for text, images, and other modalities. However, for many sequential decision domains such as robotics, video games, and computer use, publicly available data does not contain the l...
2006.15832
Linshan Jiang
Linshan Jiang, Rui Tan, Arvind Easwaran
Resilience Bounds of Network Clock Synchronization with Fault Correction
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Internet of Things (IoT) will be a main data generation infrastructure for achieving better system intelligence. This paper considers the design and implementation of a practical privacy-preserving collaborative learning scheme, in which a curious learning coordinator trains a better machine learning model based ...
[ { "created": "Mon, 29 Jun 2020 06:41:24 GMT", "version": "v1" } ]
2020-06-30
[ [ "Jiang", "Linshan", "" ], [ "Tan", "Rui", "" ], [ "Easwaran", "Arvind", "" ] ]
The Internet of Things (IoT) will be a main data generation infrastructure for achieving better system intelligence. This paper considers the design and implementation of a practical privacy-preserving collaborative learning scheme, in which a curious learning coordinator trains a better machine learning model based on...
1001.4411
EPTCS
Igor Mozolevsky (University of Newcastle), John Fitzgerald (University of Newcastle)
Common Representation of Information Flows for Dynamic Coalitions
null
EPTCS 16, 2010, pp. 15-25
10.4204/EPTCS.16.2
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a formal foundation for reasoning about access control policies within a Dynamic Coalition, defining an abstraction over existing access control models and providing mechanisms for translation of those models into information-flow domain. The abstracted information-flow domain model, called a Common Repres...
[ { "created": "Mon, 25 Jan 2010 12:44:06 GMT", "version": "v1" } ]
2010-01-26
[ [ "Mozolevsky", "Igor", "", "University of Newcastle" ], [ "Fitzgerald", "John", "", "University\n of Newcastle" ] ]
We propose a formal foundation for reasoning about access control policies within a Dynamic Coalition, defining an abstraction over existing access control models and providing mechanisms for translation of those models into information-flow domain. The abstracted information-flow domain model, called a Common Represen...
1903.12090
Fabrizio Sebastiani
Alejandro Moreo Fern\'andez, Andrea Esuli, Fabrizio Sebastiani
Learning to Weight for Text Classification
To appear in IEEE Transactions on Knowledge and Data Engineering
Final version published in IEEE Transactions on Data and Knowledge Engineering, 32(2):302-316, 2020
null
null
cs.LG cs.IR stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In information retrieval (IR) and related tasks, term weighting approaches typically consider the frequency of the term in the document and in the collection in order to compute a score reflecting the importance of the term for the document. In tasks characterized by the presence of training data (such as text classi...
[ { "created": "Thu, 28 Mar 2019 16:13:35 GMT", "version": "v1" } ]
2021-09-22
[ [ "Fernández", "Alejandro Moreo", "" ], [ "Esuli", "Andrea", "" ], [ "Sebastiani", "Fabrizio", "" ] ]
In information retrieval (IR) and related tasks, term weighting approaches typically consider the frequency of the term in the document and in the collection in order to compute a score reflecting the importance of the term for the document. In tasks characterized by the presence of training data (such as text classifi...
2007.03937
Tommaso Cesari
Tommaso Cesari (TSE), Roberto Colomboni (IIT)
A Nearest Neighbor Characterization of Lebesgue Points in Metric Measure Spaces
null
null
null
null
cs.LG math.PR stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The property of almost every point being a Lebesgue point has proven to be crucial for the consistency of several classification algorithms based on nearest neighbors. We characterize Lebesgue points in terms of a 1-Nearest Neighbor regression algorithm for pointwise estimation, fleshing out the role played by tie-br...
[ { "created": "Wed, 8 Jul 2020 07:42:31 GMT", "version": "v1" }, { "created": "Mon, 21 Sep 2020 10:13:43 GMT", "version": "v2" }, { "created": "Fri, 11 Dec 2020 10:37:56 GMT", "version": "v3" }, { "created": "Tue, 12 Jan 2021 15:15:27 GMT", "version": "v4" } ]
2021-01-13
[ [ "Cesari", "Tommaso", "", "TSE" ], [ "Colomboni", "Roberto", "", "IIT" ] ]
The property of almost every point being a Lebesgue point has proven to be crucial for the consistency of several classification algorithms based on nearest neighbors. We characterize Lebesgue points in terms of a 1-Nearest Neighbor regression algorithm for pointwise estimation, fleshing out the role played by tie-brea...
1402.2482
Manuel Cebrian
Yury Kryvasheyeu, Haohui Chen, Esteban Moro, Pascal Van Hentenryck, Manuel Cebrian
Performance of Social Network Sensors During Hurricane Sandy
null
null
10.1371/journal.pone.0117288
null
cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Information flow during catastrophic events is a critical aspect of disaster management. Modern communication platforms, in particular online social networks, provide an opportunity to study such flow, and a mean to derive early-warning sensors, improving emergency preparedness and response. Performance of the social...
[ { "created": "Tue, 11 Feb 2014 13:09:21 GMT", "version": "v1" }, { "created": "Fri, 20 Jun 2014 15:21:55 GMT", "version": "v2" } ]
2015-06-18
[ [ "Kryvasheyeu", "Yury", "" ], [ "Chen", "Haohui", "" ], [ "Moro", "Esteban", "" ], [ "Van Hentenryck", "Pascal", "" ], [ "Cebrian", "Manuel", "" ] ]
Information flow during catastrophic events is a critical aspect of disaster management. Modern communication platforms, in particular online social networks, provide an opportunity to study such flow, and a mean to derive early-warning sensors, improving emergency preparedness and response. Performance of the social n...
2405.13268
Haosen Ge
Haosen Ge, Hamsa Bastani, Osbert Bastani
Stochastic Online Conformal Prediction with Semi-Bandit Feedback
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Conformal prediction has emerged as an effective strategy for uncertainty quantification by modifying a model to output sets of labels instead of a single label. These prediction sets come with the guarantee that they contain the true label with high probability. However, conformal prediction typically requires a lar...
[ { "created": "Wed, 22 May 2024 00:42:49 GMT", "version": "v1" } ]
2024-05-24
[ [ "Ge", "Haosen", "" ], [ "Bastani", "Hamsa", "" ], [ "Bastani", "Osbert", "" ] ]
Conformal prediction has emerged as an effective strategy for uncertainty quantification by modifying a model to output sets of labels instead of a single label. These prediction sets come with the guarantee that they contain the true label with high probability. However, conformal prediction typically requires a large...
2206.07099
James Flamino
Omar Malik, James Flamino, Boleslaw K. Szymanski
Resource-Mediated Consensus Formation
8 pages, 9 figures
Proc. SIGSIM-PADS'22: SIGSIM Conference on Principles of Advanced Discrete Simulation, Atlanta, GA, USA, June 8-10, 2022, pp. 105-112,
10.1145/3518997.3534959
null
cs.MA cs.SI
http://creativecommons.org/licenses/by/4.0/
In social sciences, simulating opinion dynamics to study the interplay between homophily and influence, and the subsequent formation of echo chambers, is of great importance. As such, in this paper we investigate echo chambers by implementing a unique social game in which we spawn in a large number of agents, each as...
[ { "created": "Tue, 14 Jun 2022 18:36:22 GMT", "version": "v1" } ]
2022-06-22
[ [ "Malik", "Omar", "" ], [ "Flamino", "James", "" ], [ "Szymanski", "Boleslaw K.", "" ] ]
In social sciences, simulating opinion dynamics to study the interplay between homophily and influence, and the subsequent formation of echo chambers, is of great importance. As such, in this paper we investigate echo chambers by implementing a unique social game in which we spawn in a large number of agents, each assi...
1506.03710
Ugo Dal Lago
Alberto Cappai, Ugo Dal Lago
On Equivalences, Metrics, and Polynomial Time (Long Version)
null
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Interactive behaviors are ubiquitous in modern cryptography, but are also present in $\lambda$-calculi, in the form of higher-order constructions. Traditionally, however, typed $\lambda$-calculi simply do not fit well into cryptography, being both deterministic and too powerful as for the complexity of functions they...
[ { "created": "Thu, 11 Jun 2015 15:32:04 GMT", "version": "v1" } ]
2015-06-12
[ [ "Cappai", "Alberto", "" ], [ "Lago", "Ugo Dal", "" ] ]
Interactive behaviors are ubiquitous in modern cryptography, but are also present in $\lambda$-calculi, in the form of higher-order constructions. Traditionally, however, typed $\lambda$-calculi simply do not fit well into cryptography, being both deterministic and too powerful as for the complexity of functions they c...
2011.11744
Anshuman Misra
Anshuman Misra and Ajay D. Kshemkalyani
The Bloom Clock for Causality Testing
null
null
10.1007/978-3-030-65621-8_1
null
cs.DC
http://creativecommons.org/licenses/by-nc-sa/4.0/
Testing for causality between events in distributed executions is a fundamental problem. Vector clocks solve this problem but do not scale well. The probabilistic Bloom clock can determine causality between events with lower space, time, and message-space overhead than vector clock; however, predictions suffer from f...
[ { "created": "Mon, 23 Nov 2020 21:43:27 GMT", "version": "v1" } ]
2021-06-21
[ [ "Misra", "Anshuman", "" ], [ "Kshemkalyani", "Ajay D.", "" ] ]
Testing for causality between events in distributed executions is a fundamental problem. Vector clocks solve this problem but do not scale well. The probabilistic Bloom clock can determine causality between events with lower space, time, and message-space overhead than vector clock; however, predictions suffer from fal...
2401.13961
Jia Wan
Jia Wan, Wanhua Li, Jason Ken Adhinarta, Atmadeep Banerjee, Evelina Sjostedt, Jingpeng Wu, Jeff Lichtman, Hanspeter Pfister, Donglai Wei
TriSAM: Tri-Plane SAM for zero-shot cortical blood vessel segmentation in VEM images
BvEM-Mouse can be visualized at: https://tinyurl.com/yc2s38x9
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-nd/4.0/
While imaging techniques at macro and mesoscales have garnered substantial attention and resources, microscale Volume Electron Microscopy (vEM) imaging, capable of revealing intricate vascular details, has lacked the necessary benchmarking infrastructure. In this paper, we address a significant gap in this field of n...
[ { "created": "Thu, 25 Jan 2024 05:50:48 GMT", "version": "v1" }, { "created": "Tue, 9 Apr 2024 08:07:48 GMT", "version": "v2" }, { "created": "Tue, 18 Jun 2024 03:53:12 GMT", "version": "v3" }, { "created": "Thu, 15 Aug 2024 09:23:00 GMT", "version": "v4" } ]
2024-08-16
[ [ "Wan", "Jia", "" ], [ "Li", "Wanhua", "" ], [ "Adhinarta", "Jason Ken", "" ], [ "Banerjee", "Atmadeep", "" ], [ "Sjostedt", "Evelina", "" ], [ "Wu", "Jingpeng", "" ], [ "Lichtman", "Jeff", "" ], [ "...
While imaging techniques at macro and mesoscales have garnered substantial attention and resources, microscale Volume Electron Microscopy (vEM) imaging, capable of revealing intricate vascular details, has lacked the necessary benchmarking infrastructure. In this paper, we address a significant gap in this field of neu...
2307.09748
Zijian Zhu
Feiran Hu, Peng Wang, Yangyang Li, Chenlong Duan, Zijian Zhu, Fei Wang, Faen Zhang, Yong Li, Xiu-Shen Wei
Watch out Venomous Snake Species: A Solution to SnakeCLEF2023
This work was the winner solution of the SnakeCLEF2023 challenge
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
The SnakeCLEF2023 competition aims to the development of advanced algorithms for snake species identification through the analysis of images and accompanying metadata. This paper presents a method leveraging utilization of both images and metadata. Modern CNN models and strong data augmentation are utilized to learn ...
[ { "created": "Wed, 19 Jul 2023 04:59:58 GMT", "version": "v1" } ]
2023-07-20
[ [ "Hu", "Feiran", "" ], [ "Wang", "Peng", "" ], [ "Li", "Yangyang", "" ], [ "Duan", "Chenlong", "" ], [ "Zhu", "Zijian", "" ], [ "Wang", "Fei", "" ], [ "Zhang", "Faen", "" ], [ "Li", "Yong", "...
The SnakeCLEF2023 competition aims to the development of advanced algorithms for snake species identification through the analysis of images and accompanying metadata. This paper presents a method leveraging utilization of both images and metadata. Modern CNN models and strong data augmentation are utilized to learn be...
1106.2312
Rathipriya R
R.Rathipriya, Dr. K.Thangavel and J.Bagyamani
Evolutionary Biclustering of Clickstream Data
null
null
null
null
cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Biclustering is a two way clustering approach involving simultaneous clustering along two dimensions of the data matrix. Finding biclusters of web objects (i.e. web users and web pages) is an emerging topic in the context of web usage mining. It overcomes the problem associated with traditional clustering methods by ...
[ { "created": "Sun, 12 Jun 2011 14:34:16 GMT", "version": "v1" } ]
2011-06-14
[ [ "Rathipriya", "R.", "" ], [ "Thangavel", "Dr. K.", "" ], [ "Bagyamani", "J.", "" ] ]
Biclustering is a two way clustering approach involving simultaneous clustering along two dimensions of the data matrix. Finding biclusters of web objects (i.e. web users and web pages) is an emerging topic in the context of web usage mining. It overcomes the problem associated with traditional clustering methods by al...
1805.07430
Chen-Yu Wei
Haipeng Luo, Chen-Yu Wei, Kai Zheng
Efficient Online Portfolio with Logarithmic Regret
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the decades-old problem of online portfolio management and propose the first algorithm with logarithmic regret that is not based on Cover's Universal Portfolio algorithm and admits much faster implementation. Specifically Universal Portfolio enjoys optimal regret $\mathcal{O}(N\ln T)$ for $N$ financial instr...
[ { "created": "Fri, 18 May 2018 20:29:02 GMT", "version": "v1" }, { "created": "Fri, 16 Nov 2018 00:39:47 GMT", "version": "v2" } ]
2018-11-19
[ [ "Luo", "Haipeng", "" ], [ "Wei", "Chen-Yu", "" ], [ "Zheng", "Kai", "" ] ]
We study the decades-old problem of online portfolio management and propose the first algorithm with logarithmic regret that is not based on Cover's Universal Portfolio algorithm and admits much faster implementation. Specifically Universal Portfolio enjoys optimal regret $\mathcal{O}(N\ln T)$ for $N$ financial instrum...
2110.03380
You Jin Kim
You Jin Kim, Hee-Soo Heo, Jee-weon Jung, Youngki Kwon, Bong-Jin Lee, Joon Son Chung
Advancing the dimensionality reduction of speaker embeddings for speaker diarisation: disentangling noise and informing speech activity
This paper was submitted to ICASSP 2023
null
null
null
cs.SD cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The objective of this work is to train noise-robust speaker embeddings adapted for speaker diarisation. Speaker embeddings play a crucial role in the performance of diarisation systems, but they often capture spurious information such as noise, adversely affecting performance. Our previous work has proposed an auto-e...
[ { "created": "Thu, 7 Oct 2021 12:19:09 GMT", "version": "v1" }, { "created": "Tue, 29 Mar 2022 09:40:45 GMT", "version": "v2" }, { "created": "Thu, 3 Nov 2022 09:21:30 GMT", "version": "v3" } ]
2022-11-04
[ [ "Kim", "You Jin", "" ], [ "Heo", "Hee-Soo", "" ], [ "Jung", "Jee-weon", "" ], [ "Kwon", "Youngki", "" ], [ "Lee", "Bong-Jin", "" ], [ "Chung", "Joon Son", "" ] ]
The objective of this work is to train noise-robust speaker embeddings adapted for speaker diarisation. Speaker embeddings play a crucial role in the performance of diarisation systems, but they often capture spurious information such as noise, adversely affecting performance. Our previous work has proposed an auto-enc...
2311.15959
Kaijun Tan
Kaijun Tan, Benzhe Dai, Jiakui Li, Wenyu Mao
CheapNET: Improving Light-weight speech enhancement network by projected loss function
null
null
null
null
cs.SD cs.AI eess.AS
http://creativecommons.org/licenses/by/4.0/
Noise suppression and echo cancellation are critical in speech enhancement and essential for smart devices and real-time communication. Deployed in voice processing front-ends and edge devices, these algorithms must ensure efficient real-time inference with low computational demands. Traditional edge-based noise supp...
[ { "created": "Mon, 27 Nov 2023 16:03:42 GMT", "version": "v1" } ]
2023-11-28
[ [ "Tan", "Kaijun", "" ], [ "Dai", "Benzhe", "" ], [ "Li", "Jiakui", "" ], [ "Mao", "Wenyu", "" ] ]
Noise suppression and echo cancellation are critical in speech enhancement and essential for smart devices and real-time communication. Deployed in voice processing front-ends and edge devices, these algorithms must ensure efficient real-time inference with low computational demands. Traditional edge-based noise suppre...
1708.00636
Jaesung Park
Jae Sung Park and Nam Ik Cho
Generation of High Dynamic Range Illumination from a Single Image for the Enhancement of Undesirably Illuminated Images
null
null
null
null
cs.CV cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents an algorithm that enhances undesirably illuminated images by generating and fusing multi-level illuminations from a single image.The input image is first decomposed into illumination and reflectance components by using an edge-preserving smoothing filter. Then the reflectance component is scaled u...
[ { "created": "Wed, 2 Aug 2017 08:14:18 GMT", "version": "v1" } ]
2017-08-03
[ [ "Park", "Jae Sung", "" ], [ "Cho", "Nam Ik", "" ] ]
This paper presents an algorithm that enhances undesirably illuminated images by generating and fusing multi-level illuminations from a single image.The input image is first decomposed into illumination and reflectance components by using an edge-preserving smoothing filter. Then the reflectance component is scaled up ...
1802.08402
Shadrokh Samavi
Mojtaba Akbari, Majid Mohrekesh, S.M.Reza Soroushmehr, Nader Karimi, Shadrokh Samavi, Kayvan Najarian
Adaptive specular reflection detection and inpainting in colonoscopy video frames
5 pages, 5 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Colonoscopy video frames might be contaminated by bright spots with unsaturated values known as specular reflection. Detection and removal of such reflections could enhance the quality of colonoscopy images and facilitate diagnosis procedure. In this paper we propose a novel two-phase method for this purpose, consist...
[ { "created": "Fri, 23 Feb 2018 06:25:21 GMT", "version": "v1" } ]
2018-02-26
[ [ "Akbari", "Mojtaba", "" ], [ "Mohrekesh", "Majid", "" ], [ "Soroushmehr", "S. M. Reza", "" ], [ "Karimi", "Nader", "" ], [ "Samavi", "Shadrokh", "" ], [ "Najarian", "Kayvan", "" ] ]
Colonoscopy video frames might be contaminated by bright spots with unsaturated values known as specular reflection. Detection and removal of such reflections could enhance the quality of colonoscopy images and facilitate diagnosis procedure. In this paper we propose a novel two-phase method for this purpose, consistin...
2207.11903
Allen Liu
Allen Liu, Ankur Moitra
Minimax Rates for Robust Community Detection
To appear in FOCS 2022
null
null
null
cs.DS cs.LG cs.SI math.PR stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work, we study the problem of community detection in the stochastic block model with adversarial node corruptions. Our main result is an efficient algorithm that can tolerate an $\epsilon$-fraction of corruptions and achieves error $O(\epsilon) + e^{-\frac{C}{2} (1 \pm o(1))}$ where $C = (\sqrt{a} - \sqrt{b})...
[ { "created": "Mon, 25 Jul 2022 04:45:16 GMT", "version": "v1" } ]
2022-07-26
[ [ "Liu", "Allen", "" ], [ "Moitra", "Ankur", "" ] ]
In this work, we study the problem of community detection in the stochastic block model with adversarial node corruptions. Our main result is an efficient algorithm that can tolerate an $\epsilon$-fraction of corruptions and achieves error $O(\epsilon) + e^{-\frac{C}{2} (1 \pm o(1))}$ where $C = (\sqrt{a} - \sqrt{b})^2...
2407.21611
Jiafeng Zhong
Jiafeng Zhong, Bin Li, Jiangyan Yi
Enhancing Partially Spoofed Audio Localization with Boundary-aware Attention Mechanism
null
null
null
null
cs.SD cs.AI eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The task of partially spoofed audio localization aims to accurately determine audio authenticity at a frame level. Although some works have achieved encouraging results, utilizing boundary information within a single model remains an unexplored research topic. In this work, we propose a novel method called Boundary-a...
[ { "created": "Wed, 31 Jul 2024 13:49:17 GMT", "version": "v1" } ]
2024-08-01
[ [ "Zhong", "Jiafeng", "" ], [ "Li", "Bin", "" ], [ "Yi", "Jiangyan", "" ] ]
The task of partially spoofed audio localization aims to accurately determine audio authenticity at a frame level. Although some works have achieved encouraging results, utilizing boundary information within a single model remains an unexplored research topic. In this work, we propose a novel method called Boundary-awa...
1912.05937
Rahul Gopinath
Rahul Gopinath, Bj\"orn Mathis, Andreas Zeller
Inferring Input Grammars from Dynamic Control Flow
null
null
null
null
cs.SE cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A program is characterized by its input model, and a formal input model can be of use in diverse areas including vulnerability analysis, reverse engineering, fuzzing and software testing, clone detection and refactoring. Unfortunately, input models for typical programs are often unavailable or out of date. While ther...
[ { "created": "Thu, 12 Dec 2019 13:35:09 GMT", "version": "v1" } ]
2019-12-13
[ [ "Gopinath", "Rahul", "" ], [ "Mathis", "Björn", "" ], [ "Zeller", "Andreas", "" ] ]
A program is characterized by its input model, and a formal input model can be of use in diverse areas including vulnerability analysis, reverse engineering, fuzzing and software testing, clone detection and refactoring. Unfortunately, input models for typical programs are often unavailable or out of date. While there ...
1905.10855
Martin Sulzmann
Martin Sulzmann and Kai Stadtm\"uller
Data Race Prediction for Inaccurate Traces
26 pages with appendix
null
null
null
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Happens-before based data race prediction methods infer from a trace of events a partial order to check if one event happens before another event. If two two write events are unordered, they are in a race. We observe that common tracing methods provide no guarantee that the trace order corresponds to an actual progra...
[ { "created": "Sun, 26 May 2019 18:51:24 GMT", "version": "v1" }, { "created": "Sat, 26 Oct 2019 07:57:50 GMT", "version": "v2" } ]
2019-10-29
[ [ "Sulzmann", "Martin", "" ], [ "Stadtmüller", "Kai", "" ] ]
Happens-before based data race prediction methods infer from a trace of events a partial order to check if one event happens before another event. If two two write events are unordered, they are in a race. We observe that common tracing methods provide no guarantee that the trace order corresponds to an actual program ...
1104.0775
Diora Jordan
Markus Wagner, Jareth Day, Diora Jordan, Trent Kroeger, Frank Neumann
Evolving Pacing Strategies for Team Pursuit Track Cycling
null
null
null
null
cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Team pursuit track cycling is a bicycle racing sport held on velodromes and is part of the Summer Olympics. It involves the use of strategies to minimize the overall time that a team of cyclists needs to complete a race. We present an optimisation framework for team pursuit track cycling and show how to evolve strate...
[ { "created": "Tue, 5 Apr 2011 08:46:33 GMT", "version": "v1" }, { "created": "Thu, 16 Jun 2011 05:42:09 GMT", "version": "v2" } ]
2011-06-17
[ [ "Wagner", "Markus", "" ], [ "Day", "Jareth", "" ], [ "Jordan", "Diora", "" ], [ "Kroeger", "Trent", "" ], [ "Neumann", "Frank", "" ] ]
Team pursuit track cycling is a bicycle racing sport held on velodromes and is part of the Summer Olympics. It involves the use of strategies to minimize the overall time that a team of cyclists needs to complete a race. We present an optimisation framework for team pursuit track cycling and show how to evolve strategi...
1805.08028
Fuli Luo
Fuli Luo, Tianyu Liu, Qiaolin Xia, Baobao Chang and Zhifang Sui
Incorporating Glosses into Neural Word Sense Disambiguation
Accepted to ACL 2018 (long paper), added code link
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Word Sense Disambiguation (WSD) aims to identify the correct meaning of polysemous words in the particular context. Lexical resources like WordNet which are proved to be of great help for WSD in the knowledge-based methods. However, previous neural networks for WSD always rely on massive labeled data (context), ignor...
[ { "created": "Mon, 21 May 2018 12:59:17 GMT", "version": "v1" }, { "created": "Mon, 16 Jul 2018 14:58:30 GMT", "version": "v2" } ]
2018-07-17
[ [ "Luo", "Fuli", "" ], [ "Liu", "Tianyu", "" ], [ "Xia", "Qiaolin", "" ], [ "Chang", "Baobao", "" ], [ "Sui", "Zhifang", "" ] ]
Word Sense Disambiguation (WSD) aims to identify the correct meaning of polysemous words in the particular context. Lexical resources like WordNet which are proved to be of great help for WSD in the knowledge-based methods. However, previous neural networks for WSD always rely on massive labeled data (context), ignorin...
1901.10415
Juncai He
Juncai He and Jinchao Xu
MgNet: A Unified Framework of Multigrid and Convolutional Neural Network
30 pages
Sci. China Math. 62 (2019) 1331-1354
10.1007/s11425-019-9547-2
null
cs.CV cs.LG math.NA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We develop a unified model, known as MgNet, that simultaneously recovers some convolutional neural networks (CNN) for image classification and multigrid (MG) methods for solving discretized partial differential equations (PDEs). This model is based on close connections that we have observed and uncovered between the ...
[ { "created": "Tue, 29 Jan 2019 17:30:59 GMT", "version": "v1" }, { "created": "Wed, 1 May 2019 20:49:32 GMT", "version": "v2" } ]
2020-04-10
[ [ "He", "Juncai", "" ], [ "Xu", "Jinchao", "" ] ]
We develop a unified model, known as MgNet, that simultaneously recovers some convolutional neural networks (CNN) for image classification and multigrid (MG) methods for solving discretized partial differential equations (PDEs). This model is based on close connections that we have observed and uncovered between the CN...
1811.03496
Helge Spieker
Helge Spieker, Arnaud Gotlieb, Morten Mossige
Multi-Cycle Assignment Problems with Rotational Diversity
Extended journal version
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multi-cycle assignment problems address scenarios where a series of general assignment problems has to be solved sequentially. Subsequent cycles can differ from previous ones due to changing availability or creation of tasks and agents, which makes an upfront static schedule infeasible and introduces uncertainty in t...
[ { "created": "Thu, 8 Nov 2018 15:39:35 GMT", "version": "v1" }, { "created": "Thu, 19 Dec 2019 16:11:28 GMT", "version": "v2" } ]
2019-12-20
[ [ "Spieker", "Helge", "" ], [ "Gotlieb", "Arnaud", "" ], [ "Mossige", "Morten", "" ] ]
Multi-cycle assignment problems address scenarios where a series of general assignment problems has to be solved sequentially. Subsequent cycles can differ from previous ones due to changing availability or creation of tasks and agents, which makes an upfront static schedule infeasible and introduces uncertainty in the...
2406.11819
Joseph Tung
Joseph Tung, Gene Chou, Ruojin Cai, Guandao Yang, Kai Zhang, Gordon Wetzstein, Bharath Hariharan, Noah Snavely
MegaScenes: Scene-Level View Synthesis at Scale
Our project page is at https://megascenes.github.io
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Scene-level novel view synthesis (NVS) is fundamental to many vision and graphics applications. Recently, pose-conditioned diffusion models have led to significant progress by extracting 3D information from 2D foundation models, but these methods are limited by the lack of scene-level training data. Common dataset ch...
[ { "created": "Mon, 17 Jun 2024 17:55:55 GMT", "version": "v1" } ]
2024-06-18
[ [ "Tung", "Joseph", "" ], [ "Chou", "Gene", "" ], [ "Cai", "Ruojin", "" ], [ "Yang", "Guandao", "" ], [ "Zhang", "Kai", "" ], [ "Wetzstein", "Gordon", "" ], [ "Hariharan", "Bharath", "" ], [ "Snavely"...
Scene-level novel view synthesis (NVS) is fundamental to many vision and graphics applications. Recently, pose-conditioned diffusion models have led to significant progress by extracting 3D information from 2D foundation models, but these methods are limited by the lack of scene-level training data. Common dataset choi...
2008.02935
EPTCS
Horatiu Cirstea (LORIA, CNRS & INRIA & Universit\'e de Lorraine), Alexis Grall (LORIA, CNRS & INRIA & Universit\'e de Lorraine), Dominique M\'ery (LORIA, CNRS & INRIA & Universit\'e de Lorraine)
Generating Distributed Programs from Event-B Models
In Proceedings VPT/HCVS 2020, arXiv:2008.02483
EPTCS 320, 2020, pp. 110-124
10.4204/EPTCS.320.8
null
cs.PL cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Distributed algorithms offer challenges in checking that they meet their specifications. Verification techniques can be extended to deal with the verification of safety properties of distributed algorithms. In this paper, we present an approach for combining correct-by-construction approaches and transformations of f...
[ { "created": "Fri, 7 Aug 2020 01:23:53 GMT", "version": "v1" } ]
2020-08-10
[ [ "Cirstea", "Horatiu", "", "LORIA, CNRS & INRIA & Université de Lorraine" ], [ "Grall", "Alexis", "", "LORIA, CNRS & INRIA & Université de Lorraine" ], [ "Méry", "Dominique", "", "LORIA, CNRS & INRIA & Université de Lorraine" ] ]
Distributed algorithms offer challenges in checking that they meet their specifications. Verification techniques can be extended to deal with the verification of safety properties of distributed algorithms. In this paper, we present an approach for combining correct-by-construction approaches and transformations of for...
2111.05097
Tarek Saier
Tarek Saier, Michael F\"arber, Tornike Tsereteli
Cross-Lingual Citations in English Papers: A Large-Scale Analysis of Prevalence, Usage, and Impact
to be published in the International Journal on Digital Libraries
null
10.1007/s00799-021-00312-z
null
cs.DL cs.IR cs.LG
http://creativecommons.org/licenses/by/4.0/
Citation information in scholarly data is an important source of insight into the reception of publications and the scholarly discourse. Outcomes of citation analyses and the applicability of citation based machine learning approaches heavily depend on the completeness of such data. One particular shortcoming of scho...
[ { "created": "Sun, 7 Nov 2021 15:34:02 GMT", "version": "v1" }, { "created": "Wed, 10 Nov 2021 08:48:05 GMT", "version": "v2" } ]
2022-01-12
[ [ "Saier", "Tarek", "" ], [ "Färber", "Michael", "" ], [ "Tsereteli", "Tornike", "" ] ]
Citation information in scholarly data is an important source of insight into the reception of publications and the scholarly discourse. Outcomes of citation analyses and the applicability of citation based machine learning approaches heavily depend on the completeness of such data. One particular shortcoming of schola...
2302.09130
Mary Schlembach
William H. Mischo, Mary C. Schlembach, Elisandro Cabada
Relationships between Journal Publication, Citation, and Usage Metrics within a Carnegie R1 University Collection: A Correlation Analysis
23 pages; 9 tables
College and Research Libraries, March 2024
null
null
cs.DL
http://creativecommons.org/licenses/by/4.0/
This study examines the correlational relationships between local journal authorship, local and external citation counts, full-text downloads, link-resolver clicks, and four global journal impact factor indices within an all-disciplines journal collection of 12,200 titles and six subject subsets at the University of ...
[ { "created": "Fri, 17 Feb 2023 20:45:47 GMT", "version": "v1" } ]
2023-02-21
[ [ "Mischo", "William H.", "" ], [ "Schlembach", "Mary C.", "" ], [ "Cabada", "Elisandro", "" ] ]
This study examines the correlational relationships between local journal authorship, local and external citation counts, full-text downloads, link-resolver clicks, and four global journal impact factor indices within an all-disciplines journal collection of 12,200 titles and six subject subsets at the University of Il...
2402.12336
Christian Schlarmann
Christian Schlarmann, Naman Deep Singh, Francesco Croce, Matthias Hein
Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models
ICML 2024 Oral
null
null
null
cs.LG cs.AI cs.CV stat.ML
http://creativecommons.org/licenses/by/4.0/
Multi-modal foundation models like OpenFlamingo, LLaVA, and GPT-4 are increasingly used for various real-world tasks. Prior work has shown that these models are highly vulnerable to adversarial attacks on the vision modality. These attacks can be leveraged to spread fake information or defraud users, and thus pose a ...
[ { "created": "Mon, 19 Feb 2024 18:09:48 GMT", "version": "v1" }, { "created": "Wed, 5 Jun 2024 15:32:03 GMT", "version": "v2" } ]
2024-06-06
[ [ "Schlarmann", "Christian", "" ], [ "Singh", "Naman Deep", "" ], [ "Croce", "Francesco", "" ], [ "Hein", "Matthias", "" ] ]
Multi-modal foundation models like OpenFlamingo, LLaVA, and GPT-4 are increasingly used for various real-world tasks. Prior work has shown that these models are highly vulnerable to adversarial attacks on the vision modality. These attacks can be leveraged to spread fake information or defraud users, and thus pose a si...
2010.02305
Jatin Ganhotra
Jatin Ganhotra, Haggai Roitman, Doron Cohen, Nathaniel Mills, Chulaka Gunasekara, Yosi Mass, Sachindra Joshi, Luis Lastras and David Konopnicki
Conversational Document Prediction to Assist Customer Care Agents
EMNLP 2020. The released Twitter dataset is available at: https://github.com/IBM/twitter-customer-care-document-prediction
null
null
null
cs.CL
http://creativecommons.org/licenses/by-nc-sa/4.0/
A frequent pattern in customer care conversations is the agents responding with appropriate webpage URLs that address users' needs. We study the task of predicting the documents that customer care agents can use to facilitate users' needs. We also introduce a new public dataset which supports the aforementioned probl...
[ { "created": "Mon, 5 Oct 2020 19:53:41 GMT", "version": "v1" } ]
2020-10-07
[ [ "Ganhotra", "Jatin", "" ], [ "Roitman", "Haggai", "" ], [ "Cohen", "Doron", "" ], [ "Mills", "Nathaniel", "" ], [ "Gunasekara", "Chulaka", "" ], [ "Mass", "Yosi", "" ], [ "Joshi", "Sachindra", "" ], [ ...
A frequent pattern in customer care conversations is the agents responding with appropriate webpage URLs that address users' needs. We study the task of predicting the documents that customer care agents can use to facilitate users' needs. We also introduce a new public dataset which supports the aforementioned problem...
1511.00661
Stephen Chestnut
Vladimir Braverman, Stephen R. Chestnut, Nikita Ivkin, David P. Woodruff
Beating CountSketch for Heavy Hitters in Insertion Streams
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Given a stream $p_1, \ldots, p_m$ of items from a universe $\mathcal{U}$, which, without loss of generality we identify with the set of integers $\{1, 2, \ldots, n\}$, we consider the problem of returning all $\ell_2$-heavy hitters, i.e., those items $j$ for which $f_j \geq \epsilon \sqrt{F_2}$, where $f_j$ is the nu...
[ { "created": "Mon, 2 Nov 2015 20:03:39 GMT", "version": "v1" } ]
2015-11-03
[ [ "Braverman", "Vladimir", "" ], [ "Chestnut", "Stephen R.", "" ], [ "Ivkin", "Nikita", "" ], [ "Woodruff", "David P.", "" ] ]
Given a stream $p_1, \ldots, p_m$ of items from a universe $\mathcal{U}$, which, without loss of generality we identify with the set of integers $\{1, 2, \ldots, n\}$, we consider the problem of returning all $\ell_2$-heavy hitters, i.e., those items $j$ for which $f_j \geq \epsilon \sqrt{F_2}$, where $f_j$ is the numb...
1904.00205
Taimoor Tariq Mr.
Taimoor Tariq, Juan Luis Gonzalez, Munchurl Kim
A HVS-inspired Attention to Improve Loss Metrics for CNN-based Perception-Oriented Super-Resolution
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep Convolutional Neural Network (CNN) features have been demonstrated to be effective perceptual quality features. The perceptual loss, based on feature maps of pre-trained CNN's has proven to be remarkably effective for CNN based perceptual image restoration problems. In this work, taking inspiration from the the ...
[ { "created": "Sat, 30 Mar 2019 12:14:50 GMT", "version": "v1" }, { "created": "Sat, 27 Jul 2019 15:19:46 GMT", "version": "v2" } ]
2019-07-30
[ [ "Tariq", "Taimoor", "" ], [ "Gonzalez", "Juan Luis", "" ], [ "Kim", "Munchurl", "" ] ]
Deep Convolutional Neural Network (CNN) features have been demonstrated to be effective perceptual quality features. The perceptual loss, based on feature maps of pre-trained CNN's has proven to be remarkably effective for CNN based perceptual image restoration problems. In this work, taking inspiration from the the Hu...
1109.4433
Johanne Cohen
Olivier Bournez, J\'er\'emie Chalopin, Johanne Cohen, Xavier Koegler, Mikael Rabie
Asymetric Pavlovian Populations
null
null
null
null
cs.DC cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Population protocols have been introduced by Angluin et al. as a model of networks consisting of very limited mobile agents that interact in pairs but with no control over their own movement. A collection of anonymous agents, modeled by finite automata, interact pairwise according to some rules that update their stat...
[ { "created": "Tue, 20 Sep 2011 21:17:02 GMT", "version": "v1" } ]
2011-09-22
[ [ "Bournez", "Olivier", "" ], [ "Chalopin", "Jérémie", "" ], [ "Cohen", "Johanne", "" ], [ "Koegler", "Xavier", "" ], [ "Rabie", "Mikael", "" ] ]
Population protocols have been introduced by Angluin et al. as a model of networks consisting of very limited mobile agents that interact in pairs but with no control over their own movement. A collection of anonymous agents, modeled by finite automata, interact pairwise according to some rules that update their states...
2004.01045
Dongfang Zhao
Dongfang Zhao
Topological Properties of Multi-Party Blockchain Transactions
null
null
null
null
cs.CR cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The cross-blockchain transaction remains one of the most challenging problems in blockchains. The root cause of the challenge lies in the nondeterministic nature of blockchains: A $n$-party transaction across multiple blockchains might be partially rolled back due to the potential forks in any of the participating bl...
[ { "created": "Wed, 1 Apr 2020 03:56:42 GMT", "version": "v1" }, { "created": "Fri, 3 Apr 2020 19:07:06 GMT", "version": "v2" }, { "created": "Thu, 16 Apr 2020 00:46:57 GMT", "version": "v3" } ]
2020-04-17
[ [ "Zhao", "Dongfang", "" ] ]
The cross-blockchain transaction remains one of the most challenging problems in blockchains. The root cause of the challenge lies in the nondeterministic nature of blockchains: A $n$-party transaction across multiple blockchains might be partially rolled back due to the potential forks in any of the participating bloc...
2207.10648
Michael Desmond
Michael Desmond, Evelyn Duesterwald, Vatche Isahagian, Vinod Muthusamy
A No-Code Low-Code Paradigm for Authoring Business Automations Using Natural Language
null
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
Most business process automation is still developed using traditional automation technologies such as workflow engines. These systems provide domain specific languages that require both business knowledge and programming skills to effectively use. As such, business users often lack adequate programming skills to full...
[ { "created": "Fri, 15 Jul 2022 19:17:55 GMT", "version": "v1" } ]
2022-07-22
[ [ "Desmond", "Michael", "" ], [ "Duesterwald", "Evelyn", "" ], [ "Isahagian", "Vatche", "" ], [ "Muthusamy", "Vinod", "" ] ]
Most business process automation is still developed using traditional automation technologies such as workflow engines. These systems provide domain specific languages that require both business knowledge and programming skills to effectively use. As such, business users often lack adequate programming skills to fully ...
2112.00209
Yuki Okamoto
Yuki Okamoto, Shota Horiguchi, Masaaki Yamamoto, Keisuke Imoto, Yohei Kawaguchi
Environmental Sound Extraction Using Onomatopoeic Words
Accepted to ICASSP2022
null
null
null
cs.SD cs.LG eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
An onomatopoeic word, which is a character sequence that phonetically imitates a sound, is effective in expressing characteristics of sound such as duration, pitch, and timbre. We propose an environmental-sound-extraction method using onomatopoeic words to specify the target sound to be extracted. By this method, we ...
[ { "created": "Wed, 1 Dec 2021 01:18:06 GMT", "version": "v1" }, { "created": "Thu, 2 Dec 2021 03:55:40 GMT", "version": "v2" }, { "created": "Fri, 4 Feb 2022 10:27:02 GMT", "version": "v3" }, { "created": "Thu, 17 Feb 2022 04:41:59 GMT", "version": "v4" } ]
2022-02-18
[ [ "Okamoto", "Yuki", "" ], [ "Horiguchi", "Shota", "" ], [ "Yamamoto", "Masaaki", "" ], [ "Imoto", "Keisuke", "" ], [ "Kawaguchi", "Yohei", "" ] ]
An onomatopoeic word, which is a character sequence that phonetically imitates a sound, is effective in expressing characteristics of sound such as duration, pitch, and timbre. We propose an environmental-sound-extraction method using onomatopoeic words to specify the target sound to be extracted. By this method, we es...
1908.07860
Zhao Zhang
Zhao Zhang, Lei Wang, Sheng Li, Yang Wang, Zheng Zhang, Zhengjun Zha and Meng Wang
Adaptive Structure-constrained Robust Latent Low-Rank Coding for Image Recovery
Accepted by ICDM 2019 as a regular paper
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose a robust representation learning model called Adaptive Structure-constrained Low-Rank Coding (AS-LRC) for the latent representation of data. To recover the underlying subspaces more accurately, AS-LRC seamlessly integrates an adaptive weighting based block-diagonal structure-constrained low-...
[ { "created": "Wed, 21 Aug 2019 13:17:55 GMT", "version": "v1" }, { "created": "Thu, 22 Aug 2019 02:28:14 GMT", "version": "v2" } ]
2019-08-23
[ [ "Zhang", "Zhao", "" ], [ "Wang", "Lei", "" ], [ "Li", "Sheng", "" ], [ "Wang", "Yang", "" ], [ "Zhang", "Zheng", "" ], [ "Zha", "Zhengjun", "" ], [ "Wang", "Meng", "" ] ]
In this paper, we propose a robust representation learning model called Adaptive Structure-constrained Low-Rank Coding (AS-LRC) for the latent representation of data. To recover the underlying subspaces more accurately, AS-LRC seamlessly integrates an adaptive weighting based block-diagonal structure-constrained low-ra...
2310.01405
Andy Zou
Andy Zou, Long Phan, Sarah Chen, James Campbell, Phillip Guo, Richard Ren, Alexander Pan, Xuwang Yin, Mantas Mazeika, Ann-Kathrin Dombrowski, Shashwat Goel, Nathaniel Li, Michael J. Byun, Zifan Wang, Alex Mallen, Steven Basart, Sanmi Koyejo, Dawn Song, Matt Fredrikson, J. Zico Kolter, Dan Hendrycks
Representation Engineering: A Top-Down Approach to AI Transparency
Code is available at https://github.com/andyzoujm/representation-engineering
null
null
null
cs.LG cs.AI cs.CL cs.CV cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we identify and characterize the emerging area of representation engineering (RepE), an approach to enhancing the transparency of AI systems that draws on insights from cognitive neuroscience. RepE places population-level representations, rather than neurons or circuits, at the center of analysis, equi...
[ { "created": "Mon, 2 Oct 2023 17:59:07 GMT", "version": "v1" }, { "created": "Tue, 3 Oct 2023 08:39:09 GMT", "version": "v2" }, { "created": "Tue, 10 Oct 2023 08:00:53 GMT", "version": "v3" } ]
2023-10-11
[ [ "Zou", "Andy", "" ], [ "Phan", "Long", "" ], [ "Chen", "Sarah", "" ], [ "Campbell", "James", "" ], [ "Guo", "Phillip", "" ], [ "Ren", "Richard", "" ], [ "Pan", "Alexander", "" ], [ "Yin", "Xuwan...
In this paper, we identify and characterize the emerging area of representation engineering (RepE), an approach to enhancing the transparency of AI systems that draws on insights from cognitive neuroscience. RepE places population-level representations, rather than neurons or circuits, at the center of analysis, equipp...
2302.11732
Mingke Yang
Mingke Yang and Yuming Zhou and Bixin Li and Yutian Tang
On Code Reuse from StackOverflow: An Exploratory Study on Jupyter Notebook
null
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Jupyter Notebook is a popular tool among data analysts and scientists for working with data. It provides a way to combine code, documentation, and visualizations in a single, interactive environment, facilitating code reuse. While code reuse can improve programming efficiency, it can also decrease readability, securi...
[ { "created": "Thu, 23 Feb 2023 01:47:53 GMT", "version": "v1" } ]
2023-02-24
[ [ "Yang", "Mingke", "" ], [ "Zhou", "Yuming", "" ], [ "Li", "Bixin", "" ], [ "Tang", "Yutian", "" ] ]
Jupyter Notebook is a popular tool among data analysts and scientists for working with data. It provides a way to combine code, documentation, and visualizations in a single, interactive environment, facilitating code reuse. While code reuse can improve programming efficiency, it can also decrease readability, security...
2312.04344
Pengcheng Chen
Pengcheng Chen, Ziyan Huang, Zhongying Deng, Tianbin Li, Yanzhou Su, Haoyu Wang, Jin Ye, Yu Qiao, Junjun He
Enhancing Medical Task Performance in GPT-4V: A Comprehensive Study on Prompt Engineering Strategies
null
null
null
null
cs.CL cs.AI cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
OpenAI's latest large vision-language model (LVLM), GPT-4V(ision), has piqued considerable interest for its potential in medical applications. Despite its promise, recent studies and internal reviews highlight its underperformance in specialized medical tasks. This paper explores the boundary of GPT-4V's capabilities...
[ { "created": "Thu, 7 Dec 2023 15:05:59 GMT", "version": "v1" }, { "created": "Tue, 12 Dec 2023 06:37:53 GMT", "version": "v2" } ]
2023-12-13
[ [ "Chen", "Pengcheng", "" ], [ "Huang", "Ziyan", "" ], [ "Deng", "Zhongying", "" ], [ "Li", "Tianbin", "" ], [ "Su", "Yanzhou", "" ], [ "Wang", "Haoyu", "" ], [ "Ye", "Jin", "" ], [ "Qiao", "Yu", ...
OpenAI's latest large vision-language model (LVLM), GPT-4V(ision), has piqued considerable interest for its potential in medical applications. Despite its promise, recent studies and internal reviews highlight its underperformance in specialized medical tasks. This paper explores the boundary of GPT-4V's capabilities i...
2101.10729
Hyoungsung Kim
Hyoungsung Kim, Jehyuk Jang, Sangjun Park, Heung-no Lee
Ethereum ECCPoW
It is under the review of IEEE Access
IEEE Access, vol. 9, pp. 135942-135952, 2021
10.1109/ACCESS.2021.3113522
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The error-correction code based proof-of-work (ECCPoW) algorithm is based on a low-density parity-check (LDPC) code. The ECCPoW is possible to impair ASIC with its time-varying capability of the parameters of LDPC code. Previous researches on the ECCPoW algorithm have presented its theory and implementation on Bitcoi...
[ { "created": "Tue, 26 Jan 2021 11:50:06 GMT", "version": "v1" } ]
2022-08-10
[ [ "Kim", "Hyoungsung", "" ], [ "Jang", "Jehyuk", "" ], [ "Park", "Sangjun", "" ], [ "Lee", "Heung-no", "" ] ]
The error-correction code based proof-of-work (ECCPoW) algorithm is based on a low-density parity-check (LDPC) code. The ECCPoW is possible to impair ASIC with its time-varying capability of the parameters of LDPC code. Previous researches on the ECCPoW algorithm have presented its theory and implementation on Bitcoin....
cs/0304040
Russell Impagliazzo
Russell Impagliazzo
Hardness as randomness: a survey of universal derandomization
null
Proceedings of the ICM, Beijing 2002, vol. 3, 659--672
null
null
cs.CC
null
We survey recent developments in the study of probabilistic complexity classes. While the evidence seems to support the conjecture that probabilism can be deterministically simulated with relatively low overhead, i.e., that $P=BPP$, it also indicates that this may be a difficult question to resolve. In fact, proving ...
[ { "created": "Mon, 28 Apr 2003 22:50:34 GMT", "version": "v1" } ]
2008-12-15
[ [ "Impagliazzo", "Russell", "" ] ]
We survey recent developments in the study of probabilistic complexity classes. While the evidence seems to support the conjecture that probabilism can be deterministically simulated with relatively low overhead, i.e., that $P=BPP$, it also indicates that this may be a difficult question to resolve. In fact, proving th...
1811.05669
Luc Le Magoarou
Antoine Le Calvez (IRT b-com), Luc Le Magoarou (IRT b-com), St\'ephane Paquelet (IRT b-com)
Massive MIMO channel estimation taking into account spherical waves
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Together with millimiter waves (mmWaves), massive multiple-input multiple-output (MIMO) systems are key technological components of fifth generation (5G) wireless communication systems. In such a context, geometric considerations show that the largely adopted plane wave model (PWM) of the channel potentially loses it...
[ { "created": "Wed, 14 Nov 2018 07:33:17 GMT", "version": "v1" } ]
2018-11-15
[ [ "Calvez", "Antoine Le", "", "IRT b-com" ], [ "Magoarou", "Luc Le", "", "IRT b-com" ], [ "Paquelet", "Stéphane", "", "IRT b-com" ] ]
Together with millimiter waves (mmWaves), massive multiple-input multiple-output (MIMO) systems are key technological components of fifth generation (5G) wireless communication systems. In such a context, geometric considerations show that the largely adopted plane wave model (PWM) of the channel potentially loses its ...
cs/0202032
Daniel Lehmann
Rica Gonen and Daniel Lehmann
Optimal Solutions for Multi-Unit Combinatorial Auctions: Branch and Bound Heuristics
Presented at EC'00
Second ACM Conference on Electronic Commerce (EC'00) Minneapolis, Minnesota, October 2000, pp. 13-20
null
null
cs.GT cs.AI
null
Finding optimal solutions for multi-unit combinatorial auctions is a hard problem and finding approximations to the optimal solution is also hard. We investigate the use of Branch-and-Bound techniques: they require both a way to bound from above the value of the best allocation and a good criterion to decide which bi...
[ { "created": "Wed, 20 Feb 2002 14:38:39 GMT", "version": "v1" } ]
2007-05-23
[ [ "Gonen", "Rica", "" ], [ "Lehmann", "Daniel", "" ] ]
Finding optimal solutions for multi-unit combinatorial auctions is a hard problem and finding approximations to the optimal solution is also hard. We investigate the use of Branch-and-Bound techniques: they require both a way to bound from above the value of the best allocation and a good criterion to decide which bids...
1905.11544
Naveed Akhtar Dr.
Naveed Akhtar, Mohammad A. A. K. Jalwana, Mohammed Bennamoun, Ajmal Mian
Label Universal Targeted Attack
null
null
null
null
cs.CR cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce Label Universal Targeted Attack (LUTA) that makes a deep model predict a label of attacker's choice for `any' sample of a given source class with high probability. Our attack stochastically maximizes the log-probability of the target label for the source class with first order gradient optimization, whil...
[ { "created": "Mon, 27 May 2019 23:53:00 GMT", "version": "v1" }, { "created": "Sat, 1 Jun 2019 05:11:50 GMT", "version": "v2" } ]
2019-06-04
[ [ "Akhtar", "Naveed", "" ], [ "Jalwana", "Mohammad A. A. K.", "" ], [ "Bennamoun", "Mohammed", "" ], [ "Mian", "Ajmal", "" ] ]
We introduce Label Universal Targeted Attack (LUTA) that makes a deep model predict a label of attacker's choice for `any' sample of a given source class with high probability. Our attack stochastically maximizes the log-probability of the target label for the source class with first order gradient optimization, while ...
2401.04594
Noam Zilberstein
Noam Zilberstein
A Relatively Complete Program Logic for Effectful Branching
null
null
null
null
cs.LO cs.PL
http://creativecommons.org/licenses/by/4.0/
Starting with Hoare Logic over 50 years ago, numerous sound and relatively complete program logics have been devised to reason about the diverse programs encountered in the real world. This includes reasoning about computational effects, particularly those effects that cause the program execution to branch into multi...
[ { "created": "Tue, 9 Jan 2024 14:55:54 GMT", "version": "v1" } ]
2024-01-10
[ [ "Zilberstein", "Noam", "" ] ]
Starting with Hoare Logic over 50 years ago, numerous sound and relatively complete program logics have been devised to reason about the diverse programs encountered in the real world. This includes reasoning about computational effects, particularly those effects that cause the program execution to branch into multipl...
1606.06854
Xingyi Zhou
Xingyi Zhou, Qingfu Wan, Wei Zhang, Xiangyang Xue, Yichen Wei
Model-based Deep Hand Pose Estimation
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Previous learning based hand pose estimation methods does not fully exploit the prior information in hand model geometry. Instead, they usually rely a separate model fitting step to generate valid hand poses. Such a post processing is inconvenient and sub-optimal. In this work, we propose a model based deep learning ...
[ { "created": "Wed, 22 Jun 2016 08:47:06 GMT", "version": "v1" } ]
2016-06-23
[ [ "Zhou", "Xingyi", "" ], [ "Wan", "Qingfu", "" ], [ "Zhang", "Wei", "" ], [ "Xue", "Xiangyang", "" ], [ "Wei", "Yichen", "" ] ]
Previous learning based hand pose estimation methods does not fully exploit the prior information in hand model geometry. Instead, they usually rely a separate model fitting step to generate valid hand poses. Such a post processing is inconvenient and sub-optimal. In this work, we propose a model based deep learning ap...
2210.09900
Housheng Xie
Housheng Xie, Junhui Qiu, Yuan Dai, Yang Yang, Changcheng Xiang, Yukuan Zhang
SA-DNet: A on-demand semantic object registration network adapting to non-rigid deformation
15 pages, 12 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As an essential processing step before the fusing of infrared and visible images, the performance of image registration determines whether the two images can be fused at correct spatial position. In the actual scenario, the varied imaging devices may lead to a change in perspective or time gap between shots, making s...
[ { "created": "Tue, 18 Oct 2022 14:41:28 GMT", "version": "v1" }, { "created": "Wed, 26 Oct 2022 02:13:42 GMT", "version": "v2" } ]
2022-10-27
[ [ "Xie", "Housheng", "" ], [ "Qiu", "Junhui", "" ], [ "Dai", "Yuan", "" ], [ "Yang", "Yang", "" ], [ "Xiang", "Changcheng", "" ], [ "Zhang", "Yukuan", "" ] ]
As an essential processing step before the fusing of infrared and visible images, the performance of image registration determines whether the two images can be fused at correct spatial position. In the actual scenario, the varied imaging devices may lead to a change in perspective or time gap between shots, making sig...
2404.19117
Sergi Liesegang
Sergi Liesegang and Stefano Buzzi
Coexistence of eMBB+ and mMTC+ in Uplink Cell-Free Massive MIMO Networks
This work has been submitted to IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper tackles the problem of designing proper uplink multiple access (MA) schemes for coexistence between enhanced mobile broadband+ (eMBB+) users and massive machine-type communications+ (mMTC+) devices in a terminal-centric cell-free massive MIMO system. Specifically, the use of a time-frequency spreading tech...
[ { "created": "Mon, 29 Apr 2024 21:32:30 GMT", "version": "v1" } ]
2024-05-01
[ [ "Liesegang", "Sergi", "" ], [ "Buzzi", "Stefano", "" ] ]
This paper tackles the problem of designing proper uplink multiple access (MA) schemes for coexistence between enhanced mobile broadband+ (eMBB+) users and massive machine-type communications+ (mMTC+) devices in a terminal-centric cell-free massive MIMO system. Specifically, the use of a time-frequency spreading techni...
2205.00861
Vipin Singh Sehrawat
Vipin Singh Sehrawat, Foo Yee Yeo, Dmitriy Vassilyev
Star-specific Key-homomorphic PRFs from Learning with Linear Regression
This is the preprint of a paper published in IEEE Access, vol. 11, pp. 73235-73267, 2023
IEEE Access, vol. 11, pp. 73235-73267, 2023
10.1109/ACCESS.2023.3294844
null
cs.CR cs.IT math.CO math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce a novel method to derandomize the learning with errors (LWE) problem by generating deterministic yet sufficiently independent LWE instances that are constructed by using linear regression models, which are generated via (wireless) communication errors. We also introduce star-specific key-homomorphic (SSK...
[ { "created": "Mon, 2 May 2022 12:44:26 GMT", "version": "v1" }, { "created": "Fri, 3 Mar 2023 01:21:15 GMT", "version": "v2" }, { "created": "Fri, 28 Jul 2023 17:22:54 GMT", "version": "v3" } ]
2023-07-31
[ [ "Sehrawat", "Vipin Singh", "" ], [ "Yeo", "Foo Yee", "" ], [ "Vassilyev", "Dmitriy", "" ] ]
We introduce a novel method to derandomize the learning with errors (LWE) problem by generating deterministic yet sufficiently independent LWE instances that are constructed by using linear regression models, which are generated via (wireless) communication errors. We also introduce star-specific key-homomorphic (SSKH)...
2307.11550
Arul Selvam Periyasamy
Arul Selvam Periyasamy, Arash Amini, Vladimir Tsaturyan, and Sven Behnke
YOLOPose V2: Understanding and Improving Transformer-based 6D Pose Estimation
Robotics and Autonomous Systems Journal, Elsevier, to appear 2023. arXiv admin note: substantial text overlap with arXiv:2205.02536
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
6D object pose estimation is a crucial prerequisite for autonomous robot manipulation applications. The state-of-the-art models for pose estimation are convolutional neural network (CNN)-based. Lately, Transformers, an architecture originally proposed for natural language processing, is achieving state-of-the-art res...
[ { "created": "Fri, 21 Jul 2023 12:53:54 GMT", "version": "v1" } ]
2023-07-24
[ [ "Periyasamy", "Arul Selvam", "" ], [ "Amini", "Arash", "" ], [ "Tsaturyan", "Vladimir", "" ], [ "Behnke", "Sven", "" ] ]
6D object pose estimation is a crucial prerequisite for autonomous robot manipulation applications. The state-of-the-art models for pose estimation are convolutional neural network (CNN)-based. Lately, Transformers, an architecture originally proposed for natural language processing, is achieving state-of-the-art resul...
2403.09495
Kevin Kraschewski
Kevin Kraschewski, Gregory P. Phlipot, Dennis M. Kochmann
A mixed-order quasicontinuum approach for beam-based architected materials with application to fracture
null
null
null
null
cs.CE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Predicting the mechanics of large structural networks, such as beam-based architected materials, requires a multiscale computational strategy that preserves information about the discrete structure while being applicable to large assemblies of struts. Especially the fracture properties of such beam lattices necessita...
[ { "created": "Thu, 14 Mar 2024 15:35:30 GMT", "version": "v1" } ]
2024-03-15
[ [ "Kraschewski", "Kevin", "" ], [ "Phlipot", "Gregory P.", "" ], [ "Kochmann", "Dennis M.", "" ] ]
Predicting the mechanics of large structural networks, such as beam-based architected materials, requires a multiscale computational strategy that preserves information about the discrete structure while being applicable to large assemblies of struts. Especially the fracture properties of such beam lattices necessitate...
2202.05965
Haonan Wang
Haonan Wang, Ang Li, Ya-Feng Liu, Qibo Qin, Lingyang Song, and Yonghui Li
Achievable Rate Maximization Pattern Design for Reconfigurable MIMO Antenna Array
This work has been accepted by IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications, 2023, (Early Access)
10.1109/TWC.2023.3238069
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Reconfigurable multiple-input multiple-output can provide performance gains over traditional MIMO by reshaping the channels, i.e., introducing more channel realizations. In this paper, we focus on the achievable rate maximization pattern design for reconfigurable MIMO systems. Firstly, we introduce the matrix represe...
[ { "created": "Sat, 12 Feb 2022 03:27:56 GMT", "version": "v1" }, { "created": "Mon, 13 Feb 2023 11:27:58 GMT", "version": "v2" } ]
2023-02-14
[ [ "Wang", "Haonan", "" ], [ "Li", "Ang", "" ], [ "Liu", "Ya-Feng", "" ], [ "Qin", "Qibo", "" ], [ "Song", "Lingyang", "" ], [ "Li", "Yonghui", "" ] ]
Reconfigurable multiple-input multiple-output can provide performance gains over traditional MIMO by reshaping the channels, i.e., introducing more channel realizations. In this paper, we focus on the achievable rate maximization pattern design for reconfigurable MIMO systems. Firstly, we introduce the matrix represent...
2202.02429
Chelsea Sidrane
Chelsea Sidrane, Sydney Katz, Anthony Corso, Mykel J. Kochenderfer
Verifying Inverse Model Neural Networks
Reformatted and fixed typos
null
null
null
cs.LG cs.LO
http://creativecommons.org/licenses/by-sa/4.0/
Inverse problems exist in a wide variety of physical domains from aerospace engineering to medical imaging. The goal is to infer the underlying state from a set of observations. When the forward model that produced the observations is nonlinear and stochastic, solving the inverse problem is very challenging. Neural n...
[ { "created": "Fri, 4 Feb 2022 23:13:22 GMT", "version": "v1" }, { "created": "Thu, 5 Jan 2023 00:53:35 GMT", "version": "v2" } ]
2023-01-06
[ [ "Sidrane", "Chelsea", "" ], [ "Katz", "Sydney", "" ], [ "Corso", "Anthony", "" ], [ "Kochenderfer", "Mykel J.", "" ] ]
Inverse problems exist in a wide variety of physical domains from aerospace engineering to medical imaging. The goal is to infer the underlying state from a set of observations. When the forward model that produced the observations is nonlinear and stochastic, solving the inverse problem is very challenging. Neural net...
1307.6923
Rajib Rana
Rajib Rana, Mingrui Yang, Tim Wark, Chun Tung Chou, Wen Hu
A Deterministic Construction of Projection matrix for Adaptive Trajectory Compression
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Compressive Sensing, which offers exact reconstruction of sparse signal from a small number of measurements, has tremendous potential for trajectory compression. In order to optimize the compression, trajectory compression algorithms need to adapt compression ratio subject to the compressibility of the trajectory. In...
[ { "created": "Fri, 26 Jul 2013 04:59:26 GMT", "version": "v1" } ]
2013-07-29
[ [ "Rana", "Rajib", "" ], [ "Yang", "Mingrui", "" ], [ "Wark", "Tim", "" ], [ "Chou", "Chun Tung", "" ], [ "Hu", "Wen", "" ] ]
Compressive Sensing, which offers exact reconstruction of sparse signal from a small number of measurements, has tremendous potential for trajectory compression. In order to optimize the compression, trajectory compression algorithms need to adapt compression ratio subject to the compressibility of the trajectory. Intu...
2008.06805
Michael Wehar
Andr\'as Z. Salamon and Michael Wehar
Superlinear Lower Bounds Based on ETH
Accepted at STACS 2022
null
10.4230/LIPIcs.STACS.2022.55
null
cs.CC cs.FL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce techniques for proving superlinear conditional lower bounds for polynomial time problems. In particular, we show that CircuitSAT for circuits with m gates and log(m) inputs (denoted by log-CircuitSAT) is not decidable in essentially-linear time unless the exponential time hypothesis (ETH) is false and k-...
[ { "created": "Sat, 15 Aug 2020 23:00:23 GMT", "version": "v1" }, { "created": "Sun, 8 Nov 2020 23:25:24 GMT", "version": "v2" }, { "created": "Tue, 10 Nov 2020 04:56:02 GMT", "version": "v3" }, { "created": "Mon, 1 Mar 2021 01:11:24 GMT", "version": "v4" }, { "cre...
2022-05-18
[ [ "Salamon", "András Z.", "" ], [ "Wehar", "Michael", "" ] ]
We introduce techniques for proving superlinear conditional lower bounds for polynomial time problems. In particular, we show that CircuitSAT for circuits with m gates and log(m) inputs (denoted by log-CircuitSAT) is not decidable in essentially-linear time unless the exponential time hypothesis (ETH) is false and k-Cl...
1712.05726
Gourab Ghatak
Gourab Ghatak, Antonio De Domenico, and Marceau Coupechoux
Coverage Analysis and Load Balancing in HetNets with mmWave Multi-RAT Small Cells
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We characterize a two tier heterogeneous network, consisting of classical sub-6GHz macro cells, and multi Radio Access Technology (RAT) small cells able to operate in sub-6GHz and millimeter-wave (mm-wave) bands. For optimizing coverage and to balance loads, we propose a two-step mechanism based on two biases for tun...
[ { "created": "Fri, 15 Dec 2017 16:15:01 GMT", "version": "v1" } ]
2017-12-18
[ [ "Ghatak", "Gourab", "" ], [ "De Domenico", "Antonio", "" ], [ "Coupechoux", "Marceau", "" ] ]
We characterize a two tier heterogeneous network, consisting of classical sub-6GHz macro cells, and multi Radio Access Technology (RAT) small cells able to operate in sub-6GHz and millimeter-wave (mm-wave) bands. For optimizing coverage and to balance loads, we propose a two-step mechanism based on two biases for tunin...
1703.05305
Ilya Dumer
Ilya Dumer and Kirill Shabunov
Soft decision decoding of Reed-Muller codes: recursive lists
null
IEEE Trans. Info. Theory, vol. 52, no. 3, pp. 1260-1266, 2006
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recursive list decoding is considered for Reed-Muller (RM) codes. The algorithm repeatedly relegates itself to the shorter RM codes by recalculating the posterior probabilities of their symbols. Intermediate decodings are only performed when these recalculations reach the trivial RM codes. In turn, the updated lists ...
[ { "created": "Tue, 14 Mar 2017 23:08:24 GMT", "version": "v1" } ]
2017-03-17
[ [ "Dumer", "Ilya", "" ], [ "Shabunov", "Kirill", "" ] ]
Recursive list decoding is considered for Reed-Muller (RM) codes. The algorithm repeatedly relegates itself to the shorter RM codes by recalculating the posterior probabilities of their symbols. Intermediate decodings are only performed when these recalculations reach the trivial RM codes. In turn, the updated lists of...
1505.02428
Daniel Kulesz
Daniel Kulesz, Fabian Toth, Fabian Beck
Live Inspection of Spreadsheets
In Proceedings of the 2nd Workshop on Software Engineering Methods in Spreadsheets (http://spreadsheetlab.org/sems15/)
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Existing approaches for detecting anomalies in spreadsheets can help to discover faults, but they are often applied too late in the spreadsheet lifecycle. By contrast, our approach detects anomalies immediately whenever users change their spreadsheets. This live inspection approach has been implemented as part of the...
[ { "created": "Sun, 10 May 2015 19:56:14 GMT", "version": "v1" } ]
2015-05-12
[ [ "Kulesz", "Daniel", "" ], [ "Toth", "Fabian", "" ], [ "Beck", "Fabian", "" ] ]
Existing approaches for detecting anomalies in spreadsheets can help to discover faults, but they are often applied too late in the spreadsheet lifecycle. By contrast, our approach detects anomalies immediately whenever users change their spreadsheets. This live inspection approach has been implemented as part of the S...
2212.08729
Jonathan Francis
Jonathan Francis, Bingqing Chen, Weiran Yao, Eric Nyberg, Jean Oh
Distribution-aware Goal Prediction and Conformant Model-based Planning for Safe Autonomous Driving
Accepted: 1st Workshop on Safe Learning for Autonomous Driving, at the International Conference on Machine Learning (ICML 2022); Best Paper Award
null
null
null
cs.RO cs.AI cs.CV cs.LG cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The feasibility of collecting a large amount of expert demonstrations has inspired growing research interests in learning-to-drive settings, where models learn by imitating the driving behaviour from experts. However, exclusively relying on imitation can limit agents' generalisability to novel scenarios that are outs...
[ { "created": "Fri, 16 Dec 2022 21:51:51 GMT", "version": "v1" } ]
2022-12-20
[ [ "Francis", "Jonathan", "" ], [ "Chen", "Bingqing", "" ], [ "Yao", "Weiran", "" ], [ "Nyberg", "Eric", "" ], [ "Oh", "Jean", "" ] ]
The feasibility of collecting a large amount of expert demonstrations has inspired growing research interests in learning-to-drive settings, where models learn by imitating the driving behaviour from experts. However, exclusively relying on imitation can limit agents' generalisability to novel scenarios that are outsid...
2112.01713
Yuhong Guo
Xuejun Han, Yuhong Guo
Contrastive Continual Learning with Feature Propagation
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Classical machine learners are designed only to tackle one task without capability of adopting new emerging tasks or classes whereas such capacity is more practical and human-like in the real world. To address this shortcoming, continual machine learners are elaborated to commendably learn a stream of tasks with doma...
[ { "created": "Fri, 3 Dec 2021 04:55:28 GMT", "version": "v1" } ]
2021-12-06
[ [ "Han", "Xuejun", "" ], [ "Guo", "Yuhong", "" ] ]
Classical machine learners are designed only to tackle one task without capability of adopting new emerging tasks or classes whereas such capacity is more practical and human-like in the real world. To address this shortcoming, continual machine learners are elaborated to commendably learn a stream of tasks with domain...
1810.05617
Philipp Allgeuer
Philipp Allgeuer and Sven Behnke
Bipedal Walking with Corrective Actions in the Tilt Phase Space
International Conference on Humanoid Robots (Humanoids), Beijing, China, 2018
International Conference on Humanoid Robots (Humanoids), Beijing, China, 2018
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Many methods exist for a bipedal robot to keep its balance while walking. In addition to step size and timing, other strategies are possible that influence the stability of the robot without interfering with the target direction and speed of locomotion. This paper introduces a multifaceted feedback controller that us...
[ { "created": "Fri, 12 Oct 2018 17:18:57 GMT", "version": "v1" } ]
2018-10-15
[ [ "Allgeuer", "Philipp", "" ], [ "Behnke", "Sven", "" ] ]
Many methods exist for a bipedal robot to keep its balance while walking. In addition to step size and timing, other strategies are possible that influence the stability of the robot without interfering with the target direction and speed of locomotion. This paper introduces a multifaceted feedback controller that uses...
1609.09656
Yilong Yang
Yilong Yang
Automated Enterprise Applications Generation from Requirements Model
update version from 2016
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Enterprise applications can be automatically generated from a sophisticated OO design model based on model-driven approach. The design model contains information about how to decompose the system into components, how to encapsulate the system operations into classes, and how the objects of classes collaborate to fulf...
[ { "created": "Fri, 30 Sep 2016 09:53:22 GMT", "version": "v1" }, { "created": "Sun, 16 Jan 2022 10:58:27 GMT", "version": "v2" }, { "created": "Tue, 22 Mar 2022 17:28:44 GMT", "version": "v3" } ]
2022-03-23
[ [ "Yang", "Yilong", "" ] ]
Enterprise applications can be automatically generated from a sophisticated OO design model based on model-driven approach. The design model contains information about how to decompose the system into components, how to encapsulate the system operations into classes, and how the objects of classes collaborate to fulfil...
1803.01599
Jogendra Nath Kundu
Jogendra Nath Kundu, Phani Krishna Uppala, Anuj Pahuja, R. Venkatesh Babu
AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation
CVPR 2018
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Supervised deep learning methods have shown promising results for the task of monocular depth estimation; but acquiring ground truth is costly, and prone to noise as well as inaccuracies. While synthetic datasets have been used to circumvent above problems, the resultant models do not generalize well to natural scene...
[ { "created": "Mon, 5 Mar 2018 10:55:58 GMT", "version": "v1" }, { "created": "Thu, 7 Jun 2018 11:06:01 GMT", "version": "v2" } ]
2018-06-08
[ [ "Kundu", "Jogendra Nath", "" ], [ "Uppala", "Phani Krishna", "" ], [ "Pahuja", "Anuj", "" ], [ "Babu", "R. Venkatesh", "" ] ]
Supervised deep learning methods have shown promising results for the task of monocular depth estimation; but acquiring ground truth is costly, and prone to noise as well as inaccuracies. While synthetic datasets have been used to circumvent above problems, the resultant models do not generalize well to natural scenes ...
1711.06729
Laura Gwilliams
Laura Gwilliams, David Poeppel, Alec Marantz and Tal Linzen
Phonological (un)certainty weights lexical activation
6 pages, 4 figures, accepted at: Cognitive Modeling and Computational Linguistics (CMCL) 2018
null
null
null
cs.CL
http://creativecommons.org/licenses/by-nc-sa/4.0/
Spoken word recognition involves at least two basic computations. First is matching acoustic input to phonological categories (e.g. /b/, /p/, /d/). Second is activating words consistent with those phonological categories. Here we test the hypothesis that the listener's probability distribution over lexical items is w...
[ { "created": "Fri, 17 Nov 2017 21:17:20 GMT", "version": "v1" } ]
2017-11-21
[ [ "Gwilliams", "Laura", "" ], [ "Poeppel", "David", "" ], [ "Marantz", "Alec", "" ], [ "Linzen", "Tal", "" ] ]
Spoken word recognition involves at least two basic computations. First is matching acoustic input to phonological categories (e.g. /b/, /p/, /d/). Second is activating words consistent with those phonological categories. Here we test the hypothesis that the listener's probability distribution over lexical items is wei...
1909.13221
Chao Wei
Chao Wei, Weiru Zhang, Shengjie Sun, Fei Li, Xiaonan Meng, Yi Hu and Hao Wang
Optimal Delivery with Budget Constraint in E-Commerce Advertising
13 pages, 5 figures
null
null
null
cs.LG cs.AI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Online advertising in E-commerce platforms provides sellers an opportunity to achieve potential audiences with different target goals. Ad serving systems (like display and search advertising systems) that assign ads to pages should satisfy objectives such as plenty of audience for branding advertisers, clicks or conv...
[ { "created": "Sun, 29 Sep 2019 07:11:10 GMT", "version": "v1" }, { "created": "Tue, 8 Oct 2019 12:52:24 GMT", "version": "v2" } ]
2019-10-09
[ [ "Wei", "Chao", "" ], [ "Zhang", "Weiru", "" ], [ "Sun", "Shengjie", "" ], [ "Li", "Fei", "" ], [ "Meng", "Xiaonan", "" ], [ "Hu", "Yi", "" ], [ "Wang", "Hao", "" ] ]
Online advertising in E-commerce platforms provides sellers an opportunity to achieve potential audiences with different target goals. Ad serving systems (like display and search advertising systems) that assign ads to pages should satisfy objectives such as plenty of audience for branding advertisers, clicks or conver...
2403.06319
Hamid Mozaffari
Hamid Mozaffari, Sunav Choudhary, and Amir Houmansadr
Fake or Compromised? Making Sense of Malicious Clients in Federated Learning
null
null
null
null
cs.LG cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Federated learning (FL) is a distributed machine learning paradigm that enables training models on decentralized data. The field of FL security against poisoning attacks is plagued with confusion due to the proliferation of research that makes different assumptions about the capabilities of adversaries and the advers...
[ { "created": "Sun, 10 Mar 2024 21:37:21 GMT", "version": "v1" } ]
2024-03-12
[ [ "Mozaffari", "Hamid", "" ], [ "Choudhary", "Sunav", "" ], [ "Houmansadr", "Amir", "" ] ]
Federated learning (FL) is a distributed machine learning paradigm that enables training models on decentralized data. The field of FL security against poisoning attacks is plagued with confusion due to the proliferation of research that makes different assumptions about the capabilities of adversaries and the adversar...
2008.03959
Nadav Merlis
Nadav Merlis, Shie Mannor
Lenient Regret for Multi-Armed Bandits
Accepted to AAAI2021
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the Multi-Armed Bandit (MAB) problem, where an agent sequentially chooses actions and observes rewards for the actions it took. While the majority of algorithms try to minimize the regret, i.e., the cumulative difference between the reward of the best action and the agent's action, this criterion might le...
[ { "created": "Mon, 10 Aug 2020 08:30:52 GMT", "version": "v1" }, { "created": "Sun, 13 Sep 2020 07:45:54 GMT", "version": "v2" }, { "created": "Wed, 16 Dec 2020 13:15:49 GMT", "version": "v3" }, { "created": "Sun, 12 Sep 2021 12:22:50 GMT", "version": "v4" } ]
2021-09-14
[ [ "Merlis", "Nadav", "" ], [ "Mannor", "Shie", "" ] ]
We consider the Multi-Armed Bandit (MAB) problem, where an agent sequentially chooses actions and observes rewards for the actions it took. While the majority of algorithms try to minimize the regret, i.e., the cumulative difference between the reward of the best action and the agent's action, this criterion might lead...
2202.07464
Ruoxi Chen
Haibo Jin, Ruoxi Chen, Haibin Zheng, Jinyin Chen, Yao Cheng, Yue Yu, Xianglong Liu
Excitement Surfeited Turns to Errors: Deep Learning Testing Framework Based on Excitable Neurons
32 pages
null
null
null
cs.LG cs.AI cs.CR cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Despite impressive capabilities and outstanding performance, deep neural networks (DNNs) have captured increasing public concern about their security problems, due to their frequently occurred erroneous behaviors. Therefore, it is necessary to conduct a systematical testing for DNNs before they are deployed to real-w...
[ { "created": "Sat, 12 Feb 2022 16:44:15 GMT", "version": "v1" }, { "created": "Sun, 20 Nov 2022 14:50:45 GMT", "version": "v2" } ]
2022-11-22
[ [ "Jin", "Haibo", "" ], [ "Chen", "Ruoxi", "" ], [ "Zheng", "Haibin", "" ], [ "Chen", "Jinyin", "" ], [ "Cheng", "Yao", "" ], [ "Yu", "Yue", "" ], [ "Liu", "Xianglong", "" ] ]
Despite impressive capabilities and outstanding performance, deep neural networks (DNNs) have captured increasing public concern about their security problems, due to their frequently occurred erroneous behaviors. Therefore, it is necessary to conduct a systematical testing for DNNs before they are deployed to real-wor...
2406.03227
Martin Langhammer
Martin Langhammer (1 and 2), George A. Constantinides (2) ((1) Intel Corporation, (2) Imperial College London)
Soft GPGPU versus IP cores: Quantifying and Reducing the Performance Gap
null
null
null
null
cs.AR
http://creativecommons.org/licenses/by/4.0/
eGPU, a recently-reported soft GPGPU for FPGAs, has demonstrated very high clock frequencies (more than 750 MHz) and small footprint. This means that for the first time, commercial soft processors may be competitive for the kind of heavy numerical computations common in FPGA-based digital signal processing. In this p...
[ { "created": "Wed, 5 Jun 2024 13:04:25 GMT", "version": "v1" } ]
2024-06-06
[ [ "Langhammer", "Martin", "", "1 and 2" ], [ "Constantinides", "George A.", "" ] ]
eGPU, a recently-reported soft GPGPU for FPGAs, has demonstrated very high clock frequencies (more than 750 MHz) and small footprint. This means that for the first time, commercial soft processors may be competitive for the kind of heavy numerical computations common in FPGA-based digital signal processing. In this pap...
2211.11156
Ankit Chakraborty
Ankit Chakraborty and Georg May
A Continuous $hp-$Mesh Model for Discontinuous Petrov-Galerkin Finite Element Schemes with Optimal Test Functions
null
null
null
null
cs.CE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present an anisotropic $hp-$mesh adaptation strategy using a continuous mesh model for discontinuous Petrov-Galerkin (DPG) finite element schemes with optimal test functions, extending our previous work on $h-$adaptation. The proposed strategy utilizes the inbuilt residual-based error estimator of the DPG discreti...
[ { "created": "Mon, 21 Nov 2022 02:51:16 GMT", "version": "v1" } ]
2022-11-22
[ [ "Chakraborty", "Ankit", "" ], [ "May", "Georg", "" ] ]
We present an anisotropic $hp-$mesh adaptation strategy using a continuous mesh model for discontinuous Petrov-Galerkin (DPG) finite element schemes with optimal test functions, extending our previous work on $h-$adaptation. The proposed strategy utilizes the inbuilt residual-based error estimator of the DPG discretiza...
1810.00462
Longsheng Jiang
Longsheng Jiang, Yue Wang
A Human-Computer Interface Design for Quantitative Measure of Regret Theory
6 pages, 5 figures
null
null
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Regret theory is a theory that describes human decision-making under risk. The key of obtaining a quantitative model of regret theory is to measure the preference in humans' mind when they choose among a set of options. Unlike physical quantities, measuring psychological preference is not procedure invariant, i.e. th...
[ { "created": "Sun, 30 Sep 2018 20:37:22 GMT", "version": "v1" } ]
2018-10-02
[ [ "Jiang", "Longsheng", "" ], [ "Wang", "Yue", "" ] ]
Regret theory is a theory that describes human decision-making under risk. The key of obtaining a quantitative model of regret theory is to measure the preference in humans' mind when they choose among a set of options. Unlike physical quantities, measuring psychological preference is not procedure invariant, i.e. the ...
1911.00988
Bahador Saket
Bahador Saket, Subhajit Das, Bum Chul Kwon, Alex Endert
Geono-Cluster: Interactive Visual Cluster Analysis for Biologists
null
null
null
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Biologists often perform clustering analysis to derive meaningful patterns, relationships, and structures from data instances and attributes. Though clustering plays a pivotal role in biologists' data exploration, it takes non-trivial efforts for biologists to find the best grouping in their data using existing tools...
[ { "created": "Sun, 3 Nov 2019 23:10:31 GMT", "version": "v1" } ]
2019-11-05
[ [ "Saket", "Bahador", "" ], [ "Das", "Subhajit", "" ], [ "Kwon", "Bum Chul", "" ], [ "Endert", "Alex", "" ] ]
Biologists often perform clustering analysis to derive meaningful patterns, relationships, and structures from data instances and attributes. Though clustering plays a pivotal role in biologists' data exploration, it takes non-trivial efforts for biologists to find the best grouping in their data using existing tools. ...
1810.03115
Alexandre Quemy
Alexandre Quemy
European Court of Human Right Open Data project
Preprint submitted to Data Mining and Knowledge Discovery
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents thirteen datasets for binary, multiclass and multilabel classification based on the European Court of Human Rights judgments since its creation. The interest of such datasets is explained through the prism of the researcher, the data scientist, the citizen and the legal practitioner. Contrarily to...
[ { "created": "Sun, 7 Oct 2018 09:36:27 GMT", "version": "v1" }, { "created": "Mon, 4 Feb 2019 16:09:14 GMT", "version": "v2" } ]
2019-02-05
[ [ "Quemy", "Alexandre", "" ] ]
This paper presents thirteen datasets for binary, multiclass and multilabel classification based on the European Court of Human Rights judgments since its creation. The interest of such datasets is explained through the prism of the researcher, the data scientist, the citizen and the legal practitioner. Contrarily to m...
1205.6846
Hassan Mansour
Hassan Mansour and Ozgur Yilmaz
Support driven reweighted $\ell_1$ minimization
Proc. of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March, 2012
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose a support driven reweighted $\ell_1$ minimization algorithm (SDRL1) that solves a sequence of weighted $\ell_1$ problems and relies on the support estimate accuracy. Our SDRL1 algorithm is related to the IRL1 algorithm proposed by Cand{\`e}s, Wakin, and Boyd. We demonstrate that it is suffic...
[ { "created": "Wed, 30 May 2012 22:16:18 GMT", "version": "v1" } ]
2012-06-01
[ [ "Mansour", "Hassan", "" ], [ "Yilmaz", "Ozgur", "" ] ]
In this paper, we propose a support driven reweighted $\ell_1$ minimization algorithm (SDRL1) that solves a sequence of weighted $\ell_1$ problems and relies on the support estimate accuracy. Our SDRL1 algorithm is related to the IRL1 algorithm proposed by Cand{\`e}s, Wakin, and Boyd. We demonstrate that it is sufficie...
1210.4145
Sacha Sokoloski
Sacha Sokoloski
A Biologically Realistic Model of Saccadic Eye Control with Probabilistic Population Codes
null
null
null
null
cs.NE q-bio.NC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The posterior parietal cortex is believed to direct eye movements, especially in regards to target tracking tasks, and a number of debates exist over the precise nature of the computations performed by the parietal cortex, with each side supported by different sets of biological evidence. In this paper I will present...
[ { "created": "Mon, 15 Oct 2012 19:33:27 GMT", "version": "v1" } ]
2012-10-16
[ [ "Sokoloski", "Sacha", "" ] ]
The posterior parietal cortex is believed to direct eye movements, especially in regards to target tracking tasks, and a number of debates exist over the precise nature of the computations performed by the parietal cortex, with each side supported by different sets of biological evidence. In this paper I will present m...
2211.04086
Anders Eklund
M{\aa}ns Larsson, Muhammad Usman Akbar, Anders Eklund
Does an ensemble of GANs lead to better performance when training segmentation networks with synthetic images?
5 pages, submitted to ISBI 2023
null
null
null
cs.CV eess.IV
http://creativecommons.org/licenses/by/4.0/
Large annotated datasets are required to train segmentation networks. In medical imaging, it is often difficult, time consuming and expensive to create such datasets, and it may also be difficult to share these datasets with other researchers. Different AI models can today generate very realistic synthetic images, wh...
[ { "created": "Tue, 8 Nov 2022 08:35:15 GMT", "version": "v1" }, { "created": "Sun, 12 Mar 2023 13:42:25 GMT", "version": "v2" } ]
2023-03-14
[ [ "Larsson", "Måns", "" ], [ "Akbar", "Muhammad Usman", "" ], [ "Eklund", "Anders", "" ] ]
Large annotated datasets are required to train segmentation networks. In medical imaging, it is often difficult, time consuming and expensive to create such datasets, and it may also be difficult to share these datasets with other researchers. Different AI models can today generate very realistic synthetic images, whic...
1807.02553
Shi Li
Janardhan Kulkarni and Shi Li
Flow-time Optimization For Concurrent Open-Shop and Precedence Constrained Scheduling Models
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Scheduling a set of jobs over a collection of machines is a fundamental problem that needs to be solved millions of times a day in various computing platforms: in operating systems, in large data clusters, and in data centers. Along with makespan, flow-time, which measures the length of time a job spends in a system ...
[ { "created": "Fri, 6 Jul 2018 19:46:49 GMT", "version": "v1" } ]
2018-07-10
[ [ "Kulkarni", "Janardhan", "" ], [ "Li", "Shi", "" ] ]
Scheduling a set of jobs over a collection of machines is a fundamental problem that needs to be solved millions of times a day in various computing platforms: in operating systems, in large data clusters, and in data centers. Along with makespan, flow-time, which measures the length of time a job spends in a system be...
1911.02737
Wei Zhang
Wei Zhang, Feifei Lin, Xiaodong Wang, Zhenshuang Liang, Zhen Huang
SubCharacter Chinese-English Neural Machine Translation with Wubi encoding
10 pages, 3 figures, 7 tables
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Neural machine translation (NMT) is one of the best methods for understanding the differences in semantic rules between two languages. Especially for Indo-European languages, subword-level models have achieved impressive results. However, when the translation task involves Chinese, semantic granularity remains at the...
[ { "created": "Thu, 7 Nov 2019 03:13:26 GMT", "version": "v1" } ]
2019-11-11
[ [ "Zhang", "Wei", "" ], [ "Lin", "Feifei", "" ], [ "Wang", "Xiaodong", "" ], [ "Liang", "Zhenshuang", "" ], [ "Huang", "Zhen", "" ] ]
Neural machine translation (NMT) is one of the best methods for understanding the differences in semantic rules between two languages. Especially for Indo-European languages, subword-level models have achieved impressive results. However, when the translation task involves Chinese, semantic granularity remains at the w...
2005.02696
Li Wang
Li Wang, Dawei Zhao, Tao Wu, Hao Fu, Zhiyu Wang, Liang Xiao, Xin Xu and Bin Dai
Drosophila-Inspired 3D Moving Object Detection Based on Point Clouds
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
3D moving object detection is one of the most critical tasks in dynamic scene analysis. In this paper, we propose a novel Drosophila-inspired 3D moving object detection method using Lidar sensors. According to the theory of elementary motion detector, we have developed a motion detector based on the shallow visual ne...
[ { "created": "Wed, 6 May 2020 10:04:23 GMT", "version": "v1" } ]
2020-05-07
[ [ "Wang", "Li", "" ], [ "Zhao", "Dawei", "" ], [ "Wu", "Tao", "" ], [ "Fu", "Hao", "" ], [ "Wang", "Zhiyu", "" ], [ "Xiao", "Liang", "" ], [ "Xu", "Xin", "" ], [ "Dai", "Bin", "" ] ]
3D moving object detection is one of the most critical tasks in dynamic scene analysis. In this paper, we propose a novel Drosophila-inspired 3D moving object detection method using Lidar sensors. According to the theory of elementary motion detector, we have developed a motion detector based on the shallow visual neur...
2006.00030
Onel Luis Alcaraz Lopez
Onel L. A. L\'opez and Nurul Huda Mahmood and Hirley Alves and Matti Latva-aho
CSI-free vs CSI-based multi-antenna WET for massive low-power Internet of Things
16 pags, 11 figures, Accepted in IEEE TWC
null
null
null
cs.NI cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Wireless Energy Transfer (WET) is a promising solution for powering massive Internet of Things deployments. An important question is whether the costly Channel State Information (CSI) acquisition procedure is necessary for optimum performance. In this paper, we shed some light into this matter by evaluating CSI-based...
[ { "created": "Fri, 29 May 2020 18:38:34 GMT", "version": "v1" }, { "created": "Tue, 22 Dec 2020 09:29:08 GMT", "version": "v2" } ]
2020-12-23
[ [ "López", "Onel L. A.", "" ], [ "Mahmood", "Nurul Huda", "" ], [ "Alves", "Hirley", "" ], [ "Latva-aho", "Matti", "" ] ]
Wireless Energy Transfer (WET) is a promising solution for powering massive Internet of Things deployments. An important question is whether the costly Channel State Information (CSI) acquisition procedure is necessary for optimum performance. In this paper, we shed some light into this matter by evaluating CSI-based a...
1310.3607
Albrecht Zimmermann
Albrecht Zimmermann, Sruthi Moorthy and Zifan Shi
Predicting college basketball match outcomes using machine learning techniques: some results and lessons learned
null
null
null
null
cs.LG stat.AP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Most existing work on predicting NCAAB matches has been developed in a statistical context. Trusting the capabilities of ML techniques, particularly classification learners, to uncover the importance of features and learn their relationships, we evaluated a number of different paradigms on this task. In this paper, w...
[ { "created": "Mon, 14 Oct 2013 09:42:54 GMT", "version": "v1" } ]
2013-10-15
[ [ "Zimmermann", "Albrecht", "" ], [ "Moorthy", "Sruthi", "" ], [ "Shi", "Zifan", "" ] ]
Most existing work on predicting NCAAB matches has been developed in a statistical context. Trusting the capabilities of ML techniques, particularly classification learners, to uncover the importance of features and learn their relationships, we evaluated a number of different paradigms on this task. In this paper, we ...
2404.04952
Victor Kebande
Victor R. Kebande
The Impact of Virtual Laboratories on Active Learning and Engagement in Cybersecurity Distance Education
13 pages 4 figures
null
null
null
cs.CY
http://creativecommons.org/licenses/by/4.0/
Virtual Laboratories (V Labs) have in the recent past become part and parcel of remote teaching in practical hands-on approaches, particularly in Cybersecurity distance courses. Their potential is meant to assist learners with hands-on practical laboratory exercises irrespective of geographical location. Nevertheless...
[ { "created": "Sun, 7 Apr 2024 13:16:37 GMT", "version": "v1" } ]
2024-04-09
[ [ "Kebande", "Victor R.", "" ] ]
Virtual Laboratories (V Labs) have in the recent past become part and parcel of remote teaching in practical hands-on approaches, particularly in Cybersecurity distance courses. Their potential is meant to assist learners with hands-on practical laboratory exercises irrespective of geographical location. Nevertheless, ...