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1604.00693
Edmond Awad
Edmond Awad, Martin Caminada, Gabriella Pigozzi, Miko{\l}aj Podlaszewski and Iyad Rahwan
Pareto Optimality and Strategy Proofness in Group Argument Evaluation (Extended Version)
null
null
10.1093/logcom/exx017
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
An inconsistent knowledge base can be abstracted as a set of arguments and a defeat relation among them. There can be more than one consistent way to evaluate such an argumentation graph. Collective argument evaluation is the problem of aggregating the opinions of multiple agents on how a given set of arguments shoul...
[ { "created": "Sun, 3 Apr 2016 21:48:37 GMT", "version": "v1" }, { "created": "Fri, 7 Apr 2017 20:02:55 GMT", "version": "v2" } ]
2017-06-20
[ [ "Awad", "Edmond", "" ], [ "Caminada", "Martin", "" ], [ "Pigozzi", "Gabriella", "" ], [ "Podlaszewski", "Mikołaj", "" ], [ "Rahwan", "Iyad", "" ] ]
An inconsistent knowledge base can be abstracted as a set of arguments and a defeat relation among them. There can be more than one consistent way to evaluate such an argumentation graph. Collective argument evaluation is the problem of aggregating the opinions of multiple agents on how a given set of arguments should ...
1901.04518
Markus Fr\"ohle
Markus Fr\"ohle, Karl Granstr\"om, Henk Wymeersch
Decentralized Poisson Multi-Bernoulli Filtering for Vehicle Tracking
14 pages, 5 figures
null
null
null
cs.MA cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A decentralized Poisson multi-Bernoulli filter is proposed to track multiple vehicles using multiple high-resolution sensors. Independent filters estimate the vehicles' presence, state, and shape using a Gaussian process extent model; a decentralized filter is realized through fusion of the filters posterior densitie...
[ { "created": "Mon, 14 Jan 2019 19:03:41 GMT", "version": "v1" }, { "created": "Thu, 5 Mar 2020 13:58:10 GMT", "version": "v2" } ]
2020-03-06
[ [ "Fröhle", "Markus", "" ], [ "Granström", "Karl", "" ], [ "Wymeersch", "Henk", "" ] ]
A decentralized Poisson multi-Bernoulli filter is proposed to track multiple vehicles using multiple high-resolution sensors. Independent filters estimate the vehicles' presence, state, and shape using a Gaussian process extent model; a decentralized filter is realized through fusion of the filters posterior densities....
1704.05952
Raydonal Ospina
Luis Gomez, Raydonal Ospina and Alejandro C. Frery
Unassisted Quantitative Evaluation Of Despeckling Filters
Accepted for publication in Remote Sensing - Open Access Journal
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
SAR (Synthetic Aperture Radar) imaging plays a central role in Remote Sensing due to, among other important features, its ability to provide high-resolution, day-and-night and almost weather-independent images. SAR images are affected from a granular contamination, speckle, that can be described by a multiplicative m...
[ { "created": "Wed, 19 Apr 2017 23:01:30 GMT", "version": "v1" } ]
2017-04-21
[ [ "Gomez", "Luis", "" ], [ "Ospina", "Raydonal", "" ], [ "Frery", "Alejandro C.", "" ] ]
SAR (Synthetic Aperture Radar) imaging plays a central role in Remote Sensing due to, among other important features, its ability to provide high-resolution, day-and-night and almost weather-independent images. SAR images are affected from a granular contamination, speckle, that can be described by a multiplicative mod...
1910.02059
Georgios Birmpas
Georgios Birmpas, Elias Koutsoupias, Philip Lazos, Francisco J. Marmolejo-Coss\'io
Fairness and Efficiency in DAG-based Cryptocurrencies
null
null
null
null
cs.CR cs.GT cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Bitcoin is a decentralised digital currency that serves as an alternative to existing transaction systems based on an external central authority for security. Although Bitcoin has many desirable properties, one of its fundamental shortcomings is its inability to process transactions at high rates. To address this cha...
[ { "created": "Fri, 4 Oct 2019 17:35:46 GMT", "version": "v1" } ]
2019-10-07
[ [ "Birmpas", "Georgios", "" ], [ "Koutsoupias", "Elias", "" ], [ "Lazos", "Philip", "" ], [ "Marmolejo-Cossío", "Francisco J.", "" ] ]
Bitcoin is a decentralised digital currency that serves as an alternative to existing transaction systems based on an external central authority for security. Although Bitcoin has many desirable properties, one of its fundamental shortcomings is its inability to process transactions at high rates. To address this chall...
2108.13591
Jingfei Chang
Jingfei Chang, Yang Lu, Ping Xue, Yiqun Xu and Zhen Wei
AIP: Adversarial Iterative Pruning Based on Knowledge Transfer for Convolutional Neural Networks
15 pages, 7 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the increase of structure complexity, convolutional neural networks (CNNs) take a fair amount of computation cost. Meanwhile, existing research reveals the salient parameter redundancy in CNNs. The current pruning methods can compress CNNs with little performance drop, but when the pruning ratio increases, the a...
[ { "created": "Tue, 31 Aug 2021 02:38:36 GMT", "version": "v1" } ]
2021-09-01
[ [ "Chang", "Jingfei", "" ], [ "Lu", "Yang", "" ], [ "Xue", "Ping", "" ], [ "Xu", "Yiqun", "" ], [ "Wei", "Zhen", "" ] ]
With the increase of structure complexity, convolutional neural networks (CNNs) take a fair amount of computation cost. Meanwhile, existing research reveals the salient parameter redundancy in CNNs. The current pruning methods can compress CNNs with little performance drop, but when the pruning ratio increases, the acc...
1510.06788
Ravi Chugh
Ravi Chugh
Prodirect Manipulation: Bidirectional Programming for the Masses
ICSE 2016 Companion Proceedings (Visions of 2025 Track), May 14-22, 2016, Austin, TX, USA
null
10.1145/2889160.2889210
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Software interfaces today generally fall at either end of a spectrum. On one end are programmable systems, which allow expert users (i.e. programmers) to write software artifacts that describe complex abstractions, but programs are disconnected from their eventual output. On the other end are domain-specific graphica...
[ { "created": "Thu, 22 Oct 2015 23:44:36 GMT", "version": "v1" }, { "created": "Wed, 24 Feb 2016 15:28:44 GMT", "version": "v2" } ]
2016-02-25
[ [ "Chugh", "Ravi", "" ] ]
Software interfaces today generally fall at either end of a spectrum. On one end are programmable systems, which allow expert users (i.e. programmers) to write software artifacts that describe complex abstractions, but programs are disconnected from their eventual output. On the other end are domain-specific graphical ...
1509.03807
Nguyen H. Nam
Le Xuan Quang, Le Huy Hoang, Vu Dinh Chuan, Nguyen Hoai Nam, Nguyen Thi Tu Anh and Vu Thi Hong Nhung
Integrated Science, Technology, Engineering and Mathematics (STEM) Education through Active Experience of Designing Technical Toys in Vietnamese Schools
12 pages, 7 figures, 2 tables, British Journal of Education, Society & Behavioural Science, 2015
null
10.9734/BJESBS/2015/19429
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
STEM has attracted great consideration. The purpose of research is: (1) study STEM education, (2) explore STEM education with the creative and experiential activity, (3) suggest applying STEM education by designing technical toys for the middle school student. This study used a qualitative approach to carry out teach...
[ { "created": "Sun, 13 Sep 2015 04:22:03 GMT", "version": "v1" } ]
2015-09-15
[ [ "Quang", "Le Xuan", "" ], [ "Hoang", "Le Huy", "" ], [ "Chuan", "Vu Dinh", "" ], [ "Nam", "Nguyen Hoai", "" ], [ "Anh", "Nguyen Thi Tu", "" ], [ "Nhung", "Vu Thi Hong", "" ] ]
STEM has attracted great consideration. The purpose of research is: (1) study STEM education, (2) explore STEM education with the creative and experiential activity, (3) suggest applying STEM education by designing technical toys for the middle school student. This study used a qualitative approach to carry out teachin...
1902.11184
Samia El Haddouti
Samia El Haddouti and Mohamed Dafir Ech-Cherif El Kettani
Towards an Interoperable Identity Management Framework: a Comparative Study
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The development of services and the growing demand for resources sharing among users from different organizations with some level of affinity have motivated the creation of Identity Management Systems. Identity Management has gained significant attention in recent years in the form of several projects producing many ...
[ { "created": "Thu, 28 Feb 2019 16:06:14 GMT", "version": "v1" } ]
2019-03-01
[ [ "Haddouti", "Samia El", "" ], [ "Kettani", "Mohamed Dafir Ech-Cherif El", "" ] ]
The development of services and the growing demand for resources sharing among users from different organizations with some level of affinity have motivated the creation of Identity Management Systems. Identity Management has gained significant attention in recent years in the form of several projects producing many st...
2302.12190
Ciprian-Octavian Truic\u{a}
Ciprian-Octavian Truic\u{a} and Elena-Simona Apostol and Radu-C\u{a}t\u{a}lin Nicolescu and Panagiotis Karras
MCWDST: a Minimum-Cost Weighted Directed Spanning Tree Algorithm for Real-Time Fake News Mitigation in Social Media
null
IEEE Access, 11:125861-125873, 2023
10.1109/ACCESS.2023.3331220
null
cs.SI cs.AI cs.CL cs.NE
http://creativecommons.org/licenses/by-nc-nd/4.0/
The widespread availability of internet access and handheld devices confers to social media a power similar to the one newspapers used to have. People seek affordable information on social media and can reach it within seconds. Yet this convenience comes with dangers; any user may freely post whatever they please and...
[ { "created": "Thu, 23 Feb 2023 17:31:40 GMT", "version": "v1" }, { "created": "Fri, 19 Jan 2024 16:30:14 GMT", "version": "v2" } ]
2024-01-22
[ [ "Truică", "Ciprian-Octavian", "" ], [ "Apostol", "Elena-Simona", "" ], [ "Nicolescu", "Radu-Cătălin", "" ], [ "Karras", "Panagiotis", "" ] ]
The widespread availability of internet access and handheld devices confers to social media a power similar to the one newspapers used to have. People seek affordable information on social media and can reach it within seconds. Yet this convenience comes with dangers; any user may freely post whatever they please and t...
1503.02997
No'am Newman
No'am Newman
Spreadsheets in an ERP environment: not what the doctor ordered
In Proceedings of the 2nd Workshop on Software Engineering Methods in Spreadsheets (http://spreadsheetlab.org/sems15/)
null
null
null
cs.SE
http://creativecommons.org/licenses/by/3.0/
Modern ERP systems contain flexible report generators but the tendency exists for users to export data to spreadsheets for manipulation, reporting and decision making. A purported reason for this is that some users are more familiar with personal reporting tools (spreadsheets) as opposed to enterprise reporting tools...
[ { "created": "Tue, 10 Mar 2015 17:31:47 GMT", "version": "v1" } ]
2015-03-11
[ [ "Newman", "No'am", "" ] ]
Modern ERP systems contain flexible report generators but the tendency exists for users to export data to spreadsheets for manipulation, reporting and decision making. A purported reason for this is that some users are more familiar with personal reporting tools (spreadsheets) as opposed to enterprise reporting tools. ...
2406.04995
Julian Minder
Julian Minder, Laurence Brandenberger, Luis Salamanca, Frank Schweitzer
Data2Neo - A Tool for Complex Neo4j Data Integration
null
null
null
null
cs.DB
http://creativecommons.org/licenses/by/4.0/
This paper introduces Data2Neo, an open-source Python library for converting relational data into knowledge graphs stored in Neo4j databases. With extensive customization options and support for continuous online data integration from various data sources, Data2Neo is designed to be user-friendly, efficient, and scal...
[ { "created": "Fri, 7 Jun 2024 15:06:36 GMT", "version": "v1" }, { "created": "Mon, 10 Jun 2024 08:28:04 GMT", "version": "v2" }, { "created": "Tue, 11 Jun 2024 11:12:49 GMT", "version": "v3" }, { "created": "Wed, 12 Jun 2024 12:16:11 GMT", "version": "v4" } ]
2024-06-13
[ [ "Minder", "Julian", "" ], [ "Brandenberger", "Laurence", "" ], [ "Salamanca", "Luis", "" ], [ "Schweitzer", "Frank", "" ] ]
This paper introduces Data2Neo, an open-source Python library for converting relational data into knowledge graphs stored in Neo4j databases. With extensive customization options and support for continuous online data integration from various data sources, Data2Neo is designed to be user-friendly, efficient, and scalab...
2008.07720
Hung Pham Thuc
Pham Thuc Hung, Kenji Yamanishi
Word2vec Skip-gram Dimensionality Selection via Sequential Normalized Maximum Likelihood
null
null
null
null
cs.LG cs.CL stat.ML
http://creativecommons.org/licenses/by/4.0/
In this paper, we propose a novel information criteria-based approach to select the dimensionality of the word2vec Skip-gram (SG). From the perspective of the probability theory, SG is considered as an implicit probability distribution estimation under the assumption that there exists a true contextual distribution a...
[ { "created": "Tue, 18 Aug 2020 03:24:21 GMT", "version": "v1" }, { "created": "Mon, 24 Aug 2020 04:55:56 GMT", "version": "v2" }, { "created": "Tue, 25 Aug 2020 01:08:24 GMT", "version": "v3" } ]
2020-08-26
[ [ "Hung", "Pham Thuc", "" ], [ "Yamanishi", "Kenji", "" ] ]
In this paper, we propose a novel information criteria-based approach to select the dimensionality of the word2vec Skip-gram (SG). From the perspective of the probability theory, SG is considered as an implicit probability distribution estimation under the assumption that there exists a true contextual distribution amo...
2206.10071
Kay Liu
Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, Lichao Sun, Jundong Li, George H. Chen, Zhihao Jia, Philip S. Yu
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs
NeurIPS 2022. Benchmark available at https://github.com/pygod-team/pygod/tree/main/benchmark
null
null
null
cs.LG cs.SI
http://creativecommons.org/licenses/by/4.0/
Detecting which nodes in graphs are outliers is a relatively new machine learning task with numerous applications. Despite the proliferation of algorithms developed in recent years for this task, there has been no standard comprehensive setting for performance evaluation. Consequently, it has been difficult to unders...
[ { "created": "Tue, 21 Jun 2022 01:46:38 GMT", "version": "v1" }, { "created": "Sun, 16 Oct 2022 01:18:45 GMT", "version": "v2" } ]
2022-10-18
[ [ "Liu", "Kay", "" ], [ "Dou", "Yingtong", "" ], [ "Zhao", "Yue", "" ], [ "Ding", "Xueying", "" ], [ "Hu", "Xiyang", "" ], [ "Zhang", "Ruitong", "" ], [ "Ding", "Kaize", "" ], [ "Chen", "Canyu", ...
Detecting which nodes in graphs are outliers is a relatively new machine learning task with numerous applications. Despite the proliferation of algorithms developed in recent years for this task, there has been no standard comprehensive setting for performance evaluation. Consequently, it has been difficult to understa...
2302.10096
Christian Anti\'c
Christian Anti\'c
Similarity
null
null
null
null
cs.AI cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Detecting and exploiting similarities between seemingly distant objects is without doubt an important human ability. This paper develops \textit{from the ground up} an abstract algebraic and qualitative justification-based notion of similarity based on the observation that sets of generalizations encode important pro...
[ { "created": "Mon, 13 Feb 2023 14:48:59 GMT", "version": "v1" }, { "created": "Mon, 27 Feb 2023 20:55:04 GMT", "version": "v2" }, { "created": "Wed, 11 Oct 2023 14:49:59 GMT", "version": "v3" }, { "created": "Tue, 12 Dec 2023 15:08:49 GMT", "version": "v4" }, { "c...
2024-04-04
[ [ "Antić", "Christian", "" ] ]
Detecting and exploiting similarities between seemingly distant objects is without doubt an important human ability. This paper develops \textit{from the ground up} an abstract algebraic and qualitative justification-based notion of similarity based on the observation that sets of generalizations encode important prope...
2002.02460
Ezequiel Alvarez
Ezequiel Alvarez (ICAS), Federico Lamagna (CAB), Cesar Miquel (Easytech) and Manuel Szewc (ICAS)
Intelligent Arxiv: Sort daily papers by learning users topics preference
We are open to new ideas and to scientists and institutions wishing to collaborate and/or partner in further improvements for this service. With this tool the time a paper is sent is irrelevant for its order of appearance
null
null
ICAS 047/20
cs.LG astro-ph.HE gr-qc hep-ph hep-th stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Current daily paper releases are becoming increasingly large and areas of research are growing in diversity. This makes it harder for scientists to keep up to date with current state of the art and identify relevant work within their lines of interest. The goal of this article is to address this problem using Machine...
[ { "created": "Thu, 6 Feb 2020 19:00:02 GMT", "version": "v1" } ]
2020-02-10
[ [ "Alvarez", "Ezequiel", "", "ICAS" ], [ "Lamagna", "Federico", "", "CAB" ], [ "Miquel", "Cesar", "", "Easytech" ], [ "Szewc", "Manuel", "", "ICAS" ] ]
Current daily paper releases are becoming increasingly large and areas of research are growing in diversity. This makes it harder for scientists to keep up to date with current state of the art and identify relevant work within their lines of interest. The goal of this article is to address this problem using Machine L...
1501.06678
Zhiwen Zeng
Zhiwen Zeng, Xiangke Wang, Zhiqiang Zheng
Edge Agreement of Multi-agent System with Quantized Measurements via the Directed Edge Laplacian
16 pages, 10 figures; Round2, revised to IET Control Theory & Applications, 2016
null
null
null
cs.SY cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This work explores the edge agreement problem of second-order nonlinear multi-agent system under quantized measurements. Under the edge agreement framework, we introduce an important concept about the \emph{essential edge Laplacian} and also obtain a reduced model of the edge agreement dynamics based on the spanning ...
[ { "created": "Tue, 27 Jan 2015 08:00:21 GMT", "version": "v1" }, { "created": "Fri, 29 Jan 2016 01:54:34 GMT", "version": "v2" } ]
2016-02-01
[ [ "Zeng", "Zhiwen", "" ], [ "Wang", "Xiangke", "" ], [ "Zheng", "Zhiqiang", "" ] ]
This work explores the edge agreement problem of second-order nonlinear multi-agent system under quantized measurements. Under the edge agreement framework, we introduce an important concept about the \emph{essential edge Laplacian} and also obtain a reduced model of the edge agreement dynamics based on the spanning tr...
2301.00014
Tommaso Barbariol
Tommaso Barbariol, Davide Masiero, Enrico Feltresi, Gian Antonio Susto
Time series Forecasting to detect anomalous behaviours in Multiphase Flow Meters
null
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
An Anomaly Detection (AD) System for Self-diagnosis has been developed for Multiphase Flow Meter (MPFM). The system relies on machine learning algorithms for time series forecasting, historical data have been used to train a model and to predict the behavior of a sensor and, thus, to detect anomalies.
[ { "created": "Fri, 30 Dec 2022 14:41:53 GMT", "version": "v1" } ]
2023-01-03
[ [ "Barbariol", "Tommaso", "" ], [ "Masiero", "Davide", "" ], [ "Feltresi", "Enrico", "" ], [ "Susto", "Gian Antonio", "" ] ]
An Anomaly Detection (AD) System for Self-diagnosis has been developed for Multiphase Flow Meter (MPFM). The system relies on machine learning algorithms for time series forecasting, historical data have been used to train a model and to predict the behavior of a sensor and, thus, to detect anomalies.
2307.11049
Abhishek Gupta
Marcel Torne, Max Balsells, Zihan Wang, Samedh Desai, Tao Chen, Pulkit Agrawal, Abhishek Gupta
Breadcrumbs to the Goal: Goal-Conditioned Exploration from Human-in-the-Loop Feedback
null
null
null
null
cs.LG cs.AI cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Exploration and reward specification are fundamental and intertwined challenges for reinforcement learning. Solving sequential decision-making tasks requiring expansive exploration requires either careful design of reward functions or the use of novelty-seeking exploration bonuses. Human supervisors can provide effec...
[ { "created": "Thu, 20 Jul 2023 17:30:37 GMT", "version": "v1" } ]
2023-07-21
[ [ "Torne", "Marcel", "" ], [ "Balsells", "Max", "" ], [ "Wang", "Zihan", "" ], [ "Desai", "Samedh", "" ], [ "Chen", "Tao", "" ], [ "Agrawal", "Pulkit", "" ], [ "Gupta", "Abhishek", "" ] ]
Exploration and reward specification are fundamental and intertwined challenges for reinforcement learning. Solving sequential decision-making tasks requiring expansive exploration requires either careful design of reward functions or the use of novelty-seeking exploration bonuses. Human supervisors can provide effecti...
2406.12311
Dongwon Jo
Dongwon Jo, Taesu Kim, Yulhwa Kim, Jae-Joon Kim
Mixture of Scales: Memory-Efficient Token-Adaptive Binarization for Large Language Models
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
Binarization, which converts weight parameters to binary values, has emerged as an effective strategy to reduce the size of large language models (LLMs). However, typical binarization techniques significantly diminish linguistic effectiveness of LLMs. To address this issue, we introduce a novel binarization technique...
[ { "created": "Tue, 18 Jun 2024 06:32:23 GMT", "version": "v1" } ]
2024-06-19
[ [ "Jo", "Dongwon", "" ], [ "Kim", "Taesu", "" ], [ "Kim", "Yulhwa", "" ], [ "Kim", "Jae-Joon", "" ] ]
Binarization, which converts weight parameters to binary values, has emerged as an effective strategy to reduce the size of large language models (LLMs). However, typical binarization techniques significantly diminish linguistic effectiveness of LLMs. To address this issue, we introduce a novel binarization technique c...
2402.04470
Zhicheng Lin
Zhicheng Lin
Large language models as probes into latent psychology
8 pages, 1 table
null
null
null
cs.CY
http://creativecommons.org/licenses/by-sa/4.0/
Advances in AI invite the misuse of language models as stand-ins for human minds or participants, which fundamentally mischaracterizes these statistical algorithms. We argue that language models should be embraced as flexible simulation tools, able to mimic a wide range of behaviors, perspectives, and psychological a...
[ { "created": "Tue, 6 Feb 2024 23:28:23 GMT", "version": "v1" }, { "created": "Tue, 27 Feb 2024 03:21:04 GMT", "version": "v2" } ]
2024-02-28
[ [ "Lin", "Zhicheng", "" ] ]
Advances in AI invite the misuse of language models as stand-ins for human minds or participants, which fundamentally mischaracterizes these statistical algorithms. We argue that language models should be embraced as flexible simulation tools, able to mimic a wide range of behaviors, perspectives, and psychological att...
2310.12680
Puneesh Deora
Puneesh Deora, Rouzbeh Ghaderi, Hossein Taheri, Christos Thrampoulidis
On the Optimization and Generalization of Multi-head Attention
48 page; presented in the Workshop on High-dimensional Learning Dynamics, ICML 2023
null
null
null
cs.LG math.OC stat.ML
http://creativecommons.org/licenses/by/4.0/
The training and generalization dynamics of the Transformer's core mechanism, namely the Attention mechanism, remain under-explored. Besides, existing analyses primarily focus on single-head attention. Inspired by the demonstrated benefits of overparameterization when training fully-connected networks, we investigate...
[ { "created": "Thu, 19 Oct 2023 12:18:24 GMT", "version": "v1" } ]
2023-10-20
[ [ "Deora", "Puneesh", "" ], [ "Ghaderi", "Rouzbeh", "" ], [ "Taheri", "Hossein", "" ], [ "Thrampoulidis", "Christos", "" ] ]
The training and generalization dynamics of the Transformer's core mechanism, namely the Attention mechanism, remain under-explored. Besides, existing analyses primarily focus on single-head attention. Inspired by the demonstrated benefits of overparameterization when training fully-connected networks, we investigate t...
2104.05237
Zifan Shi
Hao Ouyang, Zifan Shi, Chenyang Lei, Ka Lung Law and Qifeng Chen
Neural Camera Simulators
Accepted to CVPR2021
null
null
null
cs.CV eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a controllable camera simulator based on deep neural networks to synthesize raw image data under different camera settings, including exposure time, ISO, and aperture. The proposed simulator includes an exposure module that utilizes the principle of modern lens designs for correcting the luminance level. I...
[ { "created": "Mon, 12 Apr 2021 07:06:27 GMT", "version": "v1" }, { "created": "Mon, 9 Aug 2021 09:42:52 GMT", "version": "v2" } ]
2021-08-10
[ [ "Ouyang", "Hao", "" ], [ "Shi", "Zifan", "" ], [ "Lei", "Chenyang", "" ], [ "Law", "Ka Lung", "" ], [ "Chen", "Qifeng", "" ] ]
We present a controllable camera simulator based on deep neural networks to synthesize raw image data under different camera settings, including exposure time, ISO, and aperture. The proposed simulator includes an exposure module that utilizes the principle of modern lens designs for correcting the luminance level. It ...
1410.0245
Jeremy Kun
Benjamin Fish and Jeremy Kun and \'Ad\'am D\'aniel Lelkes and Lev Reyzin and Gy\"orgy Tur\'an
On the Computational Complexity of MapReduce
null
null
null
null
cs.CC cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we study MapReduce computations from a complexity-theoretic perspective. First, we formulate a uniform version of the MRC model of Karloff et al. (2010). We then show that the class of regular languages, and moreover all of sublogarithmic space, lies in constant round MRC. This result also applies to th...
[ { "created": "Wed, 1 Oct 2014 14:44:01 GMT", "version": "v1" }, { "created": "Tue, 6 Oct 2015 18:43:00 GMT", "version": "v2" } ]
2015-10-07
[ [ "Fish", "Benjamin", "" ], [ "Kun", "Jeremy", "" ], [ "Lelkes", "Ádám Dániel", "" ], [ "Reyzin", "Lev", "" ], [ "Turán", "György", "" ] ]
In this paper we study MapReduce computations from a complexity-theoretic perspective. First, we formulate a uniform version of the MRC model of Karloff et al. (2010). We then show that the class of regular languages, and moreover all of sublogarithmic space, lies in constant round MRC. This result also applies to the ...
2404.13861
Jessica Dai
Jessica Dai
Beyond Personhood: Agency, Accountability, and the Limits of Anthropomorphic Ethical Analysis
null
null
null
null
cs.CY
http://creativecommons.org/licenses/by/4.0/
What is agency, and why does it matter? In this work, we draw from the political science and philosophy literature and give two competing visions of what it means to be an (ethical) agent. The first view, which we term mechanistic, is commonly--and implicitly--assumed in AI research, yet it is a fundamentally limited...
[ { "created": "Mon, 22 Apr 2024 04:19:24 GMT", "version": "v1" } ]
2024-04-23
[ [ "Dai", "Jessica", "" ] ]
What is agency, and why does it matter? In this work, we draw from the political science and philosophy literature and give two competing visions of what it means to be an (ethical) agent. The first view, which we term mechanistic, is commonly--and implicitly--assumed in AI research, yet it is a fundamentally limited m...
1301.7482
Austin Jones M.S.
Austin Jones and Mac Schwager and Calin Belta
Technical Report: A Receding Horizon Algorithm for Informative Path Planning with Temporal Logic Constraints
Extended version of paper accepted to 2013 IEEE International Conference on Robotics and Automation (ICRA)
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This technical report is an extended version of the paper 'A Receding Horizon Algorithm for Informative Path Planning with Temporal Logic Constraints' accepted to the 2013 IEEE International Conference on Robotics and Automation (ICRA). This paper considers the problem of finding the most informative path for a sensi...
[ { "created": "Thu, 31 Jan 2013 00:33:24 GMT", "version": "v1" } ]
2013-02-01
[ [ "Jones", "Austin", "" ], [ "Schwager", "Mac", "" ], [ "Belta", "Calin", "" ] ]
This technical report is an extended version of the paper 'A Receding Horizon Algorithm for Informative Path Planning with Temporal Logic Constraints' accepted to the 2013 IEEE International Conference on Robotics and Automation (ICRA). This paper considers the problem of finding the most informative path for a sensing...
1712.03297
Ke Chen
Ke Chen and Adrian Dumitrescu
On the Longest Spanning Tree with Neighborhoods
12 pages, 4 figures. Section 2 is split into three subsections; more technical details are provided in section 3
null
null
null
cs.CG math.MG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study a maximization problem for geometric network design. Given a set of $n$ compact neighborhoods in $\mathbb{R}^d$, select a point in each neighborhood, so that the longest spanning tree on these points (as vertices) has maximum length. Here we give an approximation algorithm with ratio $0.511$, which represent...
[ { "created": "Fri, 8 Dec 2017 22:24:22 GMT", "version": "v1" }, { "created": "Wed, 29 Apr 2020 02:38:40 GMT", "version": "v2" } ]
2020-04-30
[ [ "Chen", "Ke", "" ], [ "Dumitrescu", "Adrian", "" ] ]
We study a maximization problem for geometric network design. Given a set of $n$ compact neighborhoods in $\mathbb{R}^d$, select a point in each neighborhood, so that the longest spanning tree on these points (as vertices) has maximum length. Here we give an approximation algorithm with ratio $0.511$, which represents ...
2112.15253
Sergey A. Slavnov
Sergey Slavnov
First order linear logic and tensor type calculus for categorial grammars
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
We study relationship between first order multiplicative linear logic (MLL1), which has been known to provide representations to different categorial grammars, and the recently introduced extended tensor type calculus (ETTC). We identify a fragment of MLL1, which seems sufficient for many grammar representations, and...
[ { "created": "Fri, 31 Dec 2021 00:35:48 GMT", "version": "v1" } ]
2022-01-03
[ [ "Slavnov", "Sergey", "" ] ]
We study relationship between first order multiplicative linear logic (MLL1), which has been known to provide representations to different categorial grammars, and the recently introduced extended tensor type calculus (ETTC). We identify a fragment of MLL1, which seems sufficient for many grammar representations, and e...
2110.10570
Samuel Bell
Samuel J. Bell and Neil D. Lawrence
Behavioral Experiments for Understanding Catastrophic Forgetting
null
Presented at the AI Evaluation Beyond Metrics (EBeM) Workshop at IJCAI, Vienna 2022
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we explore whether the fundamental tool of experimental psychology, the behavioral experiment, has the power to generate insight not only into humans and animals, but artificial systems too. We apply the techniques of experimental psychology to investigating catastrophic forgetting in neural networks. W...
[ { "created": "Wed, 20 Oct 2021 14:00:02 GMT", "version": "v1" }, { "created": "Fri, 22 Oct 2021 11:22:11 GMT", "version": "v2" }, { "created": "Tue, 13 Dec 2022 15:32:46 GMT", "version": "v3" } ]
2022-12-14
[ [ "Bell", "Samuel J.", "" ], [ "Lawrence", "Neil D.", "" ] ]
In this paper we explore whether the fundamental tool of experimental psychology, the behavioral experiment, has the power to generate insight not only into humans and animals, but artificial systems too. We apply the techniques of experimental psychology to investigating catastrophic forgetting in neural networks. We ...
2402.12252
James Davis
William P. Maxam III and James C. Davis
An Interview Study on Third-Party Cyber Threat Hunting Processes in the U.S. Department of Homeland Security
Technical report accompanying a paper at USENIX Security 2024
null
null
null
cs.CR cs.SE
http://creativecommons.org/licenses/by/4.0/
Cybersecurity is a major challenge for large organizations. Traditional cybersecurity defense is reactive. Cybersecurity operations centers keep out adversaries and incident response teams clean up after break-ins. Recently a proactive stage has been introduced: Cyber Threat Hunting (TH) looks for potential compromis...
[ { "created": "Mon, 19 Feb 2024 16:08:36 GMT", "version": "v1" } ]
2024-02-20
[ [ "Maxam", "William P.", "III" ], [ "Davis", "James C.", "" ] ]
Cybersecurity is a major challenge for large organizations. Traditional cybersecurity defense is reactive. Cybersecurity operations centers keep out adversaries and incident response teams clean up after break-ins. Recently a proactive stage has been introduced: Cyber Threat Hunting (TH) looks for potential compromises...
2110.11712
Simon Meierhans
Rasmus Kyng, Simon Meierhans, Maximilian Probst Gutenberg
Incremental SSSP for Sparse Digraphs Beyond the Hopset Barrier
Accepted at SODA'22
null
null
null
cs.DS
http://creativecommons.org/licenses/by/4.0/
Given a directed, weighted graph $G=(V,E)$ undergoing edge insertions, the incremental single-source shortest paths (SSSP) problem asks for the maintenance of approximate distances from a dedicated source $s$ while optimizing the total time required to process the insertion sequence of $m$ edges. Recently, Gutenber...
[ { "created": "Fri, 22 Oct 2021 11:19:14 GMT", "version": "v1" } ]
2021-10-25
[ [ "Kyng", "Rasmus", "" ], [ "Meierhans", "Simon", "" ], [ "Gutenberg", "Maximilian Probst", "" ] ]
Given a directed, weighted graph $G=(V,E)$ undergoing edge insertions, the incremental single-source shortest paths (SSSP) problem asks for the maintenance of approximate distances from a dedicated source $s$ while optimizing the total time required to process the insertion sequence of $m$ edges. Recently, Gutenberg, W...
2010.04683
Jovita Lukasik
Jovita Lukasik and David Friede and Arber Zela and Frank Hutter and Margret Keuper
Smooth Variational Graph Embeddings for Efficient Neural Architecture Search
8 pages, 3 figures, 5 tables. Camera-Ready Version for IJCNN 2021
null
null
null
cs.LG cs.AI cs.CV stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Neural architecture search (NAS) has recently been addressed from various directions, including discrete, sampling-based methods and efficient differentiable approaches. While the former are notoriously expensive, the latter suffer from imposing strong constraints on the search space. Architecture optimization from a...
[ { "created": "Fri, 9 Oct 2020 17:05:41 GMT", "version": "v1" }, { "created": "Tue, 8 Dec 2020 14:50:56 GMT", "version": "v2" }, { "created": "Wed, 12 May 2021 12:44:54 GMT", "version": "v3" } ]
2021-05-13
[ [ "Lukasik", "Jovita", "" ], [ "Friede", "David", "" ], [ "Zela", "Arber", "" ], [ "Hutter", "Frank", "" ], [ "Keuper", "Margret", "" ] ]
Neural architecture search (NAS) has recently been addressed from various directions, including discrete, sampling-based methods and efficient differentiable approaches. While the former are notoriously expensive, the latter suffer from imposing strong constraints on the search space. Architecture optimization from a l...
1505.00887
Chu Luo
Jiyou Li, Chu Luo, Zeying Xu
The Minimal and Maximal Sensitivity of the Simplified Weighted Sum Function
6 pages
null
null
null
cs.DM
http://creativecommons.org/licenses/by-nc-sa/4.0/
Sensitivity is an important complexity measure of Boolean functions. In this paper we present properties of the minimal and maximal sensitivity of the simplified weighted sum function. A simple close formula of the minimal sensitivity of the simplified weighted sum function is obtained. A phenomenon is exhibited that...
[ { "created": "Tue, 5 May 2015 06:16:29 GMT", "version": "v1" }, { "created": "Wed, 27 Jan 2016 16:51:55 GMT", "version": "v2" } ]
2016-01-28
[ [ "Li", "Jiyou", "" ], [ "Luo", "Chu", "" ], [ "Xu", "Zeying", "" ] ]
Sensitivity is an important complexity measure of Boolean functions. In this paper we present properties of the minimal and maximal sensitivity of the simplified weighted sum function. A simple close formula of the minimal sensitivity of the simplified weighted sum function is obtained. A phenomenon is exhibited that t...
1908.05557
Anh Truong
Anh Truong, Austin Walters, Jeremy Goodsitt, Keegan Hines, C. Bayan Bruss, Reza Farivar
Towards Automated Machine Learning: Evaluation and Comparison of AutoML Approaches and Tools
null
null
10.1109/ICTAI.2019.00209
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
There has been considerable growth and interest in industrial applications of machine learning (ML) in recent years. ML engineers, as a consequence, are in high demand across the industry, yet improving the efficiency of ML engineers remains a fundamental challenge. Automated machine learning (AutoML) has emerged as ...
[ { "created": "Thu, 15 Aug 2019 14:16:09 GMT", "version": "v1" }, { "created": "Tue, 3 Sep 2019 19:31:52 GMT", "version": "v2" } ]
2020-05-05
[ [ "Truong", "Anh", "" ], [ "Walters", "Austin", "" ], [ "Goodsitt", "Jeremy", "" ], [ "Hines", "Keegan", "" ], [ "Bruss", "C. Bayan", "" ], [ "Farivar", "Reza", "" ] ]
There has been considerable growth and interest in industrial applications of machine learning (ML) in recent years. ML engineers, as a consequence, are in high demand across the industry, yet improving the efficiency of ML engineers remains a fundamental challenge. Automated machine learning (AutoML) has emerged as a ...
2206.13176
Yifan Hou
Yifan Hou, Hongzhi Chen, Changji Li, James Cheng, Ming-Chang Yang
A Representation Learning Framework for Property Graphs
This paper is published in KDD 2019. Code can be found here: https://github.com/yifan-h/PGE
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Representation learning on graphs, also called graph embedding, has demonstrated its significant impact on a series of machine learning applications such as classification, prediction and recommendation. However, existing work has largely ignored the rich information contained in the properties (or attributes) of bot...
[ { "created": "Mon, 27 Jun 2022 10:36:57 GMT", "version": "v1" } ]
2022-06-28
[ [ "Hou", "Yifan", "" ], [ "Chen", "Hongzhi", "" ], [ "Li", "Changji", "" ], [ "Cheng", "James", "" ], [ "Yang", "Ming-Chang", "" ] ]
Representation learning on graphs, also called graph embedding, has demonstrated its significant impact on a series of machine learning applications such as classification, prediction and recommendation. However, existing work has largely ignored the rich information contained in the properties (or attributes) of both ...
1801.08737
Khoa Nguyen
San Ling and Khoa Nguyen and Huaxiong Wang and Yanhong Xu
Lattice-Based Group Signatures: Achieving Full Dynamicity (and Deniability) with Ease
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work, we provide the first lattice-based group signature that offers full dynamicity (i.e., users have the flexibility in joining and leaving the group), and thus, resolve a prominent open problem posed by previous works. Moreover, we achieve this non-trivial feat in a relatively simple manner. Starting with ...
[ { "created": "Fri, 26 Jan 2018 10:09:03 GMT", "version": "v1" } ]
2018-01-29
[ [ "Ling", "San", "" ], [ "Nguyen", "Khoa", "" ], [ "Wang", "Huaxiong", "" ], [ "Xu", "Yanhong", "" ] ]
In this work, we provide the first lattice-based group signature that offers full dynamicity (i.e., users have the flexibility in joining and leaving the group), and thus, resolve a prominent open problem posed by previous works. Moreover, we achieve this non-trivial feat in a relatively simple manner. Starting with Li...
2011.05158
Pablo Samuel Castro
Pablo Samuel Castro
GANterpretations
In 4th Workshop on Machine Learning for Creativity and Design at NeurIPS 2020, Vancouver, Canada
null
null
null
cs.SD cs.AI cs.LG eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Since the introduction of Generative Adversarial Networks (GANs) [Goodfellow et al., 2014] there has been a regular stream of both technical advances (e.g., Arjovsky et al. [2017]) and creative uses of these generative models (e.g., [Karras et al., 2019, Zhu et al., 2017, Jin et al., 2017]). In this work we propose a...
[ { "created": "Fri, 6 Nov 2020 19:08:40 GMT", "version": "v1" } ]
2020-11-11
[ [ "Castro", "Pablo Samuel", "" ] ]
Since the introduction of Generative Adversarial Networks (GANs) [Goodfellow et al., 2014] there has been a regular stream of both technical advances (e.g., Arjovsky et al. [2017]) and creative uses of these generative models (e.g., [Karras et al., 2019, Zhu et al., 2017, Jin et al., 2017]). In this work we propose an ...
1409.2485
Bernhard Rumpe
Shahar Maoz, Jan Oliver Ringert, Bernhard Rumpe
A Manifesto for Semantic Model Differencing
10 pages, 7 figures. arXiv admin note: text overlap with arXiv:1409.2355, arXiv:1409.2352
Proceedings Int. Workshop on Models and Evolution (ME'10), co-located with MoDELS'10. J. Dingel and A. Solberg (Eds.): MoDELS Workshops, LNCS 6627, pp. 194 - 203, 2010
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Models are heavily used in software engineering and together with their systems they evolve over time. Thus, managing their changes is an important challenge for system maintainability. Existing approaches to model differencing concentrate on heuristics matching between model elements and on finding and presenting di...
[ { "created": "Mon, 8 Sep 2014 14:34:13 GMT", "version": "v1" } ]
2014-09-10
[ [ "Maoz", "Shahar", "" ], [ "Ringert", "Jan Oliver", "" ], [ "Rumpe", "Bernhard", "" ] ]
Models are heavily used in software engineering and together with their systems they evolve over time. Thus, managing their changes is an important challenge for system maintainability. Existing approaches to model differencing concentrate on heuristics matching between model elements and on finding and presenting diff...
1509.01624
Andrew Knyazev
Dong Tian, Hassan Mansour, Andrew Knyazev, Anthony Vetro
Chebyshev and Conjugate Gradient Filters for Graph Image Denoising
6 pages, 6 figures, accepted to 2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)
Multimedia and Expo Workshops (ICMEW), 2014 IEEE International Conference on, vol., no., pp.1-6, 14-18 July 2014
10.1109/ICMEW.2014.6890711
MERL TR2014-062
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In 3D image/video acquisition, different views are often captured with varying noise levels across the views. In this paper, we propose a graph-based image enhancement technique that uses a higher quality view to enhance a degraded view. A depth map is utilized as auxiliary information to match the perspectives of th...
[ { "created": "Fri, 4 Sep 2015 22:22:25 GMT", "version": "v1" } ]
2015-09-08
[ [ "Tian", "Dong", "" ], [ "Mansour", "Hassan", "" ], [ "Knyazev", "Andrew", "" ], [ "Vetro", "Anthony", "" ] ]
In 3D image/video acquisition, different views are often captured with varying noise levels across the views. In this paper, we propose a graph-based image enhancement technique that uses a higher quality view to enhance a degraded view. A depth map is utilized as auxiliary information to match the perspectives of the ...
2111.14666
Assem Sadek
Assem Sadek, Guillaume Bono, Boris Chidlovskii, Christian Wolf
An in-depth experimental study of sensor usage and visual reasoning of robots navigating in real environments
null
null
null
null
cs.AI cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Visual navigation by mobile robots is classically tackled through SLAM plus optimal planning, and more recently through end-to-end training of policies implemented as deep networks. While the former are often limited to waypoint planning, but have proven their efficiency even on real physical environments, the latter...
[ { "created": "Mon, 29 Nov 2021 16:27:29 GMT", "version": "v1" } ]
2021-11-30
[ [ "Sadek", "Assem", "" ], [ "Bono", "Guillaume", "" ], [ "Chidlovskii", "Boris", "" ], [ "Wolf", "Christian", "" ] ]
Visual navigation by mobile robots is classically tackled through SLAM plus optimal planning, and more recently through end-to-end training of policies implemented as deep networks. While the former are often limited to waypoint planning, but have proven their efficiency even on real physical environments, the latter s...
2307.00758
Wenting Tang
Wenting Tang, Xingxing Wei, Bo Li (Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing, China)
Structured Network Pruning by Measuring Filter-wise Interactions
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Structured network pruning is a practical approach to reduce computation cost directly while retaining the CNNs' generalization performance in real applications. However, identifying redundant filters is a core problem in structured network pruning, and current redundancy criteria only focus on individual filters' at...
[ { "created": "Mon, 3 Jul 2023 05:26:05 GMT", "version": "v1" } ]
2023-07-04
[ [ "Tang", "Wenting", "", "Beijing Key Laboratory of Digital\n Media, School of Computer Science and Engineering, Beihang University,\n Beijing, China" ], [ "Wei", "Xingxing", "", "Beijing Key Laboratory of Digital\n Media, School of Computer Science and Engineering, Beihang Un...
Structured network pruning is a practical approach to reduce computation cost directly while retaining the CNNs' generalization performance in real applications. However, identifying redundant filters is a core problem in structured network pruning, and current redundancy criteria only focus on individual filters' attr...
2211.02682
Jacob Wahlgren
Jacob Wahlgren, Maya Gokhale, Ivy B. Peng
Evaluating Emerging CXL-enabled Memory Pooling for HPC Systems
10 pages, 13 figures. Accepted for publication in Workshop on Memory Centric High Performance Computing (MCHPC'22) at SC22
null
10.1109/MCHPC56545.2022.00007
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Current HPC systems provide memory resources that are statically configured and tightly coupled with compute nodes. However, workloads on HPC systems are evolving. Diverse workloads lead to a need for configurable memory resources to achieve high performance and utilization. In this study, we evaluate a memory subsys...
[ { "created": "Fri, 4 Nov 2022 18:03:11 GMT", "version": "v1" } ]
2023-03-23
[ [ "Wahlgren", "Jacob", "" ], [ "Gokhale", "Maya", "" ], [ "Peng", "Ivy B.", "" ] ]
Current HPC systems provide memory resources that are statically configured and tightly coupled with compute nodes. However, workloads on HPC systems are evolving. Diverse workloads lead to a need for configurable memory resources to achieve high performance and utilization. In this study, we evaluate a memory subsyste...
cs/0611036
Annie Bouyer
Anne Durand (CRAI), Pierre Drap (CRAI), Elise Meyer (CRAI), Pierre Grussenmeyer (CRAI), Jean-Pierre Perrin (CRAI)
Intra-site Level Cultural Heritage Documentation: Combination of Survey, Modeling and Imagery Data in a Web Information System
null
null
null
null
cs.DL
null
Cultural heritage documentation induces the use of computerized techniques to manage and preserve the information produced. Geographical information systems have proved their potentialities in this scope, but they are not always adapted for the management of features at the scale of a particular archaeological site. ...
[ { "created": "Wed, 8 Nov 2006 17:35:52 GMT", "version": "v1" } ]
2007-05-23
[ [ "Durand", "Anne", "", "CRAI" ], [ "Drap", "Pierre", "", "CRAI" ], [ "Meyer", "Elise", "", "CRAI" ], [ "Grussenmeyer", "Pierre", "", "CRAI" ], [ "Perrin", "Jean-Pierre", "", "CRAI" ] ]
Cultural heritage documentation induces the use of computerized techniques to manage and preserve the information produced. Geographical information systems have proved their potentialities in this scope, but they are not always adapted for the management of features at the scale of a particular archaeological site. Mo...
1501.04587
Naiyan Wang
Naiyan Wang, Siyi Li, Abhinav Gupta, Dit-Yan Yeung
Transferring Rich Feature Hierarchies for Robust Visual Tracking
null
null
null
null
cs.CV cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Convolutional neural network (CNN) models have demonstrated great success in various computer vision tasks including image classification and object detection. However, some equally important tasks such as visual tracking remain relatively unexplored. We believe that a major hurdle that hinders the application of CNN...
[ { "created": "Mon, 19 Jan 2015 18:54:34 GMT", "version": "v1" }, { "created": "Thu, 23 Apr 2015 06:18:09 GMT", "version": "v2" } ]
2015-04-24
[ [ "Wang", "Naiyan", "" ], [ "Li", "Siyi", "" ], [ "Gupta", "Abhinav", "" ], [ "Yeung", "Dit-Yan", "" ] ]
Convolutional neural network (CNN) models have demonstrated great success in various computer vision tasks including image classification and object detection. However, some equally important tasks such as visual tracking remain relatively unexplored. We believe that a major hurdle that hinders the application of CNN t...
1805.02276
Nikolaos Polatidis Dr
Elias Pimenidis, Nikolaos Polatidis, Haralambos Mouratidis
Mobile recommender systems: Identifying the major concepts
null
null
null
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper identifies the factors that have an impact on mobile recommender systems. Recommender systems have become a technology that has been widely used by various online applications in situations where there is an information overload problem. Numerous applications such as e-Commerce, video platforms and social ...
[ { "created": "Sun, 6 May 2018 20:46:55 GMT", "version": "v1" } ]
2018-05-08
[ [ "Pimenidis", "Elias", "" ], [ "Polatidis", "Nikolaos", "" ], [ "Mouratidis", "Haralambos", "" ] ]
This paper identifies the factors that have an impact on mobile recommender systems. Recommender systems have become a technology that has been widely used by various online applications in situations where there is an information overload problem. Numerous applications such as e-Commerce, video platforms and social ne...
1609.02368
William Smith
Alassane Seck, William A. P. Smith, Arnaud Dessein, Bernard Tiddeman, Hannah Dee and Abhishek Dutta
Ear-to-ear Capture of Facial Intrinsics
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a practical approach to capturing ear-to-ear face models comprising both 3D meshes and intrinsic textures (i.e. diffuse and specular albedo). Our approach is a hybrid of geometric and photometric methods and requires no geometric calibration. Photometric measurements made in a lightstage are used to estima...
[ { "created": "Thu, 8 Sep 2016 10:24:44 GMT", "version": "v1" } ]
2016-09-09
[ [ "Seck", "Alassane", "" ], [ "Smith", "William A. P.", "" ], [ "Dessein", "Arnaud", "" ], [ "Tiddeman", "Bernard", "" ], [ "Dee", "Hannah", "" ], [ "Dutta", "Abhishek", "" ] ]
We present a practical approach to capturing ear-to-ear face models comprising both 3D meshes and intrinsic textures (i.e. diffuse and specular albedo). Our approach is a hybrid of geometric and photometric methods and requires no geometric calibration. Photometric measurements made in a lightstage are used to estimate...
2106.02831
Amir Jalaly Bidgoly
Fahimeh Soltaninejad, Amir Jalaly Bidgoly
A novel method for recommendation systems using invasive weed optimization
null
null
null
null
cs.IR
http://creativecommons.org/licenses/by/4.0/
One of the popular approaches in recommendation systems is Collaborative Filtering (CF). The most significant step in CF is choosing the appropriate set of users. For this purpose, similarity measures are usually used for computing the similarity between a specific user and the other users. This paper proposes a new ...
[ { "created": "Sat, 5 Jun 2021 08:12:41 GMT", "version": "v1" } ]
2021-06-08
[ [ "Soltaninejad", "Fahimeh", "" ], [ "Bidgoly", "Amir Jalaly", "" ] ]
One of the popular approaches in recommendation systems is Collaborative Filtering (CF). The most significant step in CF is choosing the appropriate set of users. For this purpose, similarity measures are usually used for computing the similarity between a specific user and the other users. This paper proposes a new in...
1106.4213
Erlin Yao
Erlin Yao, Mingyu Chen, Rui Wang, Wenli Zhang, Guangming Tan
A New and Efficient Algorithm-Based Fault Tolerance Scheme for A Million Way Parallelism
11 pages, 8 figures, 1 table, submitted to conference SC 2011
null
null
null
cs.DC
http://creativecommons.org/licenses/by-nc-sa/3.0/
Fault tolerance overhead of high performance computing (HPC) applications is becoming critical to the efficient utilization of HPC systems at large scale. HPC applications typically tolerate fail-stop failures by checkpointing. Another promising method is in the algorithm level, called algorithmic recovery. These two...
[ { "created": "Tue, 21 Jun 2011 14:24:43 GMT", "version": "v1" } ]
2011-06-22
[ [ "Yao", "Erlin", "" ], [ "Chen", "Mingyu", "" ], [ "Wang", "Rui", "" ], [ "Zhang", "Wenli", "" ], [ "Tan", "Guangming", "" ] ]
Fault tolerance overhead of high performance computing (HPC) applications is becoming critical to the efficient utilization of HPC systems at large scale. HPC applications typically tolerate fail-stop failures by checkpointing. Another promising method is in the algorithm level, called algorithmic recovery. These two m...
2406.11505
Gustavo Escobedo
Gustavo Escobedo, Marta Moscati, Peter Muellner, Simone Kopeinik, Dominik Kowald, Elisabeth Lex and Markus Schedl
Making Alice Appear Like Bob: A Probabilistic Preference Obfuscation Method For Implicit Feedback Recommendation Models
null
null
null
null
cs.IR
http://creativecommons.org/licenses/by/4.0/
Users' interaction or preference data used in recommender systems carry the risk of unintentionally revealing users' private attributes (e.g., gender or race). This risk becomes particularly concerning when the training data contains user preferences that can be used to infer these attributes, especially if they alig...
[ { "created": "Mon, 17 Jun 2024 13:05:36 GMT", "version": "v1" } ]
2024-06-18
[ [ "Escobedo", "Gustavo", "" ], [ "Moscati", "Marta", "" ], [ "Muellner", "Peter", "" ], [ "Kopeinik", "Simone", "" ], [ "Kowald", "Dominik", "" ], [ "Lex", "Elisabeth", "" ], [ "Schedl", "Markus", "" ] ]
Users' interaction or preference data used in recommender systems carry the risk of unintentionally revealing users' private attributes (e.g., gender or race). This risk becomes particularly concerning when the training data contains user preferences that can be used to infer these attributes, especially if they align ...
2210.17111
Tongyue He
Tongyue He, Yiming Chen, Junxin Chen, Wei Wang, Yicong Zhou
SEVGGNet-LSTM: a fused deep learning model for ECG classification
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a fused deep learning algorithm for ECG classification. It takes advantages of the combined convolutional and recurrent neural network for ECG classification, and the weight allocation capability of attention mechanism. The input ECG signals are firstly segmented and normalized, and then fed into ...
[ { "created": "Mon, 31 Oct 2022 07:36:48 GMT", "version": "v1" } ]
2022-11-01
[ [ "He", "Tongyue", "" ], [ "Chen", "Yiming", "" ], [ "Chen", "Junxin", "" ], [ "Wang", "Wei", "" ], [ "Zhou", "Yicong", "" ] ]
This paper presents a fused deep learning algorithm for ECG classification. It takes advantages of the combined convolutional and recurrent neural network for ECG classification, and the weight allocation capability of attention mechanism. The input ECG signals are firstly segmented and normalized, and then fed into th...
2104.13114
Chaosheng Dong
Chaosheng Dong, Xiaojie Jin, Weihao Gao, Yijia Wang, Hongyi Zhang, Xiang Wu, Jianchao Yang, Xiaobing Liu
One Backward from Ten Forward, Subsampling for Large-Scale Deep Learning
13 pages
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep learning models in large-scale machine learning systems are often continuously trained with enormous data from production environments. The sheer volume of streaming training data poses a significant challenge to real-time training subsystems and ad-hoc sampling is the standard practice. Our key insight is that ...
[ { "created": "Tue, 27 Apr 2021 11:29:02 GMT", "version": "v1" } ]
2021-04-28
[ [ "Dong", "Chaosheng", "" ], [ "Jin", "Xiaojie", "" ], [ "Gao", "Weihao", "" ], [ "Wang", "Yijia", "" ], [ "Zhang", "Hongyi", "" ], [ "Wu", "Xiang", "" ], [ "Yang", "Jianchao", "" ], [ "Liu", "Xia...
Deep learning models in large-scale machine learning systems are often continuously trained with enormous data from production environments. The sheer volume of streaming training data poses a significant challenge to real-time training subsystems and ad-hoc sampling is the standard practice. Our key insight is that th...
2302.06541
Maximilian Mozes
Maximilian Mozes, Jessica Hoffmann, Katrin Tomanek, Muhamed Kouate, Nithum Thain, Ann Yuan, Tolga Bolukbasi, Lucas Dixon
Towards Agile Text Classifiers for Everyone
Findings of EMNLP 2023
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Text-based safety classifiers are widely used for content moderation and increasingly to tune generative language model behavior - a topic of growing concern for the safety of digital assistants and chatbots. However, different policies require different classifiers, and safety policies themselves improve from iterat...
[ { "created": "Mon, 13 Feb 2023 17:34:13 GMT", "version": "v1" }, { "created": "Sat, 21 Oct 2023 11:49:09 GMT", "version": "v2" } ]
2023-10-24
[ [ "Mozes", "Maximilian", "" ], [ "Hoffmann", "Jessica", "" ], [ "Tomanek", "Katrin", "" ], [ "Kouate", "Muhamed", "" ], [ "Thain", "Nithum", "" ], [ "Yuan", "Ann", "" ], [ "Bolukbasi", "Tolga", "" ], [ ...
Text-based safety classifiers are widely used for content moderation and increasingly to tune generative language model behavior - a topic of growing concern for the safety of digital assistants and chatbots. However, different policies require different classifiers, and safety policies themselves improve from iteratio...
2107.04953
Jonathan Stray
Jonathan Stray
Designing Recommender Systems to Depolarize
to appear in First Monday, September 2021
null
null
null
cs.IR cs.CY cs.SI
http://creativecommons.org/licenses/by-nc-nd/4.0/
Polarization is implicated in the erosion of democracy and the progression to violence, which makes the polarization properties of large algorithmic content selection systems (recommender systems) a matter of concern for peace and security. While algorithm-driven social media does not seem to be a primary driver of p...
[ { "created": "Sun, 11 Jul 2021 03:23:42 GMT", "version": "v1" } ]
2021-07-13
[ [ "Stray", "Jonathan", "" ] ]
Polarization is implicated in the erosion of democracy and the progression to violence, which makes the polarization properties of large algorithmic content selection systems (recommender systems) a matter of concern for peace and security. While algorithm-driven social media does not seem to be a primary driver of pol...
1904.02228
Peter Potash
Peter Potash
The Effect of Downstream Classification Tasks for Evaluating Sentence Embeddings
5 pages
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
One popular method for quantitatively evaluating the utility of sentence embeddings involves using them in downstream language processing tasks that require sentence representations as input. One simple such task is classification, where the sentence representations are used to train and test models on several classi...
[ { "created": "Wed, 3 Apr 2019 20:12:10 GMT", "version": "v1" }, { "created": "Mon, 27 May 2019 14:10:45 GMT", "version": "v2" } ]
2019-05-28
[ [ "Potash", "Peter", "" ] ]
One popular method for quantitatively evaluating the utility of sentence embeddings involves using them in downstream language processing tasks that require sentence representations as input. One simple such task is classification, where the sentence representations are used to train and test models on several classifi...
1209.1738
Lukasz Kaiser
Diana Fischer (RWTH Aachen), Lukasz Kaiser (CNRS and LIAFA, Universite Paris Diderot)
Model Checking the Quantitative mu-Calculus on Linear Hybrid Systems
LMCS submission
Logical Methods in Computer Science, Volume 8, Issue 3 (September 20, 2012) lmcs:760
10.2168/LMCS-8(3:21)2012
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the model-checking problem for a quantitative extension of the modal mu-calculus on a class of hybrid systems. Qualitative model checking has been proved decidable and implemented for several classes of systems, but this is not the case for quantitative questions that arise naturally in this context. Recentl...
[ { "created": "Sat, 8 Sep 2012 18:22:30 GMT", "version": "v1" }, { "created": "Wed, 19 Sep 2012 09:08:44 GMT", "version": "v2" } ]
2015-07-01
[ [ "Fischer", "Diana", "", "RWTH Aachen" ], [ "Kaiser", "Lukasz", "", "CNRS and LIAFA, Universite\n Paris Diderot" ] ]
We study the model-checking problem for a quantitative extension of the modal mu-calculus on a class of hybrid systems. Qualitative model checking has been proved decidable and implemented for several classes of systems, but this is not the case for quantitative questions that arise naturally in this context. Recently,...
2307.14541
Cristina Gena
Davide D'Adamo, Emiliano Robert, Cristina Gena, Silvestro Roatta
Novel BCI paradigm for ALS patients based on EEG and Pupillary Accommodative Response
null
null
null
null
cs.HC
http://creativecommons.org/licenses/by/4.0/
Brain-computer interfaces (BCIs) are one of the few alternatives to enable locked-in syndrome (LIS) patients to communicate with the external world, while they are the only solution for complete locked-in syndrome (CLIS) patients, who lost the ability to control eye movements. However, successful usage of endogenous ...
[ { "created": "Wed, 26 Jul 2023 23:15:50 GMT", "version": "v1" } ]
2023-07-28
[ [ "D'Adamo", "Davide", "" ], [ "Robert", "Emiliano", "" ], [ "Gena", "Cristina", "" ], [ "Roatta", "Silvestro", "" ] ]
Brain-computer interfaces (BCIs) are one of the few alternatives to enable locked-in syndrome (LIS) patients to communicate with the external world, while they are the only solution for complete locked-in syndrome (CLIS) patients, who lost the ability to control eye movements. However, successful usage of endogenous el...
2312.13462
Gunnar Kudrjavets
Gunnar Kudrjavets (University of Groningen), Aditya Kumar (Google), Jeff Thomas (Meta Platforms, Inc.), Ayushi Rastogi (University of Groningen)
What Do You Mean by Memory? When Engineers Are Lost in the Maze of Complexity
3 pages. To be published in the 46th International Conference on Software Engineering (ICSE 2024), April 14 - April 20 2024, Lisbon, Portugal
null
10.1145/3639477.3639735
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
An accepted practice to decrease applications' memory usage is to reduce the amount and frequency of memory allocations. Factors such as (a) the prevalence of out-of-memory (OOM) killers, (b) memory allocations in modern programming languages done implicitly, (c) overcommitting being a default strategy in the Linux k...
[ { "created": "Wed, 20 Dec 2023 22:26:15 GMT", "version": "v1" } ]
2024-01-09
[ [ "Kudrjavets", "Gunnar", "", "University of Groningen" ], [ "Kumar", "Aditya", "", "Google" ], [ "Thomas", "Jeff", "", "Meta Platforms, Inc." ], [ "Rastogi", "Ayushi", "", "University of Groningen" ] ]
An accepted practice to decrease applications' memory usage is to reduce the amount and frequency of memory allocations. Factors such as (a) the prevalence of out-of-memory (OOM) killers, (b) memory allocations in modern programming languages done implicitly, (c) overcommitting being a default strategy in the Linux ker...
2310.00981
Xixi Lu
Bart J. Verhoef and Xixi Lu
Using Reinforcement Learning to Optimize Responses in Care Processes: A Case Study on Aggression Incidents
null
null
null
null
cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
Previous studies have used prescriptive process monitoring to find actionable policies in business processes and conducted case studies in similar domains, such as the loan application process and the traffic fine process. However, care processes tend to be more dynamic and complex. For example, at any stage of a car...
[ { "created": "Mon, 2 Oct 2023 08:43:29 GMT", "version": "v1" } ]
2023-10-03
[ [ "Verhoef", "Bart J.", "" ], [ "Lu", "Xixi", "" ] ]
Previous studies have used prescriptive process monitoring to find actionable policies in business processes and conducted case studies in similar domains, such as the loan application process and the traffic fine process. However, care processes tend to be more dynamic and complex. For example, at any stage of a care ...
1512.00524
Marc Juarez
Marc Juarez, Mohsen Imani, Mike Perry, Claudia Diaz, Matthew Wright
Toward an Efficient Website Fingerprinting Defense
To appear In the proceedings of the European Symposium on Research in Computer Security (ESORICS), pp. 20, Springer, 2016
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Website Fingerprinting attacks enable a passive eavesdropper to recover the user's otherwise anonymized web browsing activity by matching the observed traffic with prerecorded web traffic templates. The defenses that have been proposed to counter these attacks are impractical for deployment in real-world systems due ...
[ { "created": "Wed, 2 Dec 2015 00:14:16 GMT", "version": "v1" }, { "created": "Mon, 28 Mar 2016 19:25:56 GMT", "version": "v2" }, { "created": "Tue, 19 Jul 2016 10:18:51 GMT", "version": "v3" } ]
2016-07-20
[ [ "Juarez", "Marc", "" ], [ "Imani", "Mohsen", "" ], [ "Perry", "Mike", "" ], [ "Diaz", "Claudia", "" ], [ "Wright", "Matthew", "" ] ]
Website Fingerprinting attacks enable a passive eavesdropper to recover the user's otherwise anonymized web browsing activity by matching the observed traffic with prerecorded web traffic templates. The defenses that have been proposed to counter these attacks are impractical for deployment in real-world systems due to...
1601.05900
Jarrod Moore
Margareta Ackerman and Jarrod Moore
When is Clustering Perturbation Robust?
null
null
null
null
cs.LG cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Clustering is a fundamental data mining tool that aims to divide data into groups of similar items. Generally, intuition about clustering reflects the ideal case -- exact data sets endowed with flawless dissimilarity between individual instances. In practice however, these cases are in the minority, and clustering ...
[ { "created": "Fri, 22 Jan 2016 08:01:58 GMT", "version": "v1" } ]
2016-01-25
[ [ "Ackerman", "Margareta", "" ], [ "Moore", "Jarrod", "" ] ]
Clustering is a fundamental data mining tool that aims to divide data into groups of similar items. Generally, intuition about clustering reflects the ideal case -- exact data sets endowed with flawless dissimilarity between individual instances. In practice however, these cases are in the minority, and clustering appl...
2202.13990
Maxime Bombar
Maxime Bombar and Alain Couvreur and Thomas Debris-Alazard
On Codes and Learning With Errors over Function Fields
null
null
null
null
cs.CR math.NT
http://creativecommons.org/licenses/by/4.0/
It is a long standing open problem to find search to decision reductions for structured versions of the decoding problem of linear codes. Such results in the lattice-based setting have been carried out using number fields: Polynomial-LWE, Ring-LWE, Module-LWE and so on. We propose a function field version of the LWE ...
[ { "created": "Mon, 28 Feb 2022 17:43:59 GMT", "version": "v1" } ]
2022-03-01
[ [ "Bombar", "Maxime", "" ], [ "Couvreur", "Alain", "" ], [ "Debris-Alazard", "Thomas", "" ] ]
It is a long standing open problem to find search to decision reductions for structured versions of the decoding problem of linear codes. Such results in the lattice-based setting have been carried out using number fields: Polynomial-LWE, Ring-LWE, Module-LWE and so on. We propose a function field version of the LWE pr...
2403.08161
Zhonglin Sun
Zhonglin Sun, Chen Feng, Ioannis Patras, Georgios Tzimiropoulos
LAFS: Landmark-based Facial Self-supervised Learning for Face Recognition
accepted to CVPR 2024
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work we focus on learning facial representations that can be adapted to train effective face recognition models, particularly in the absence of labels. Firstly, compared with existing labelled face datasets, a vastly larger magnitude of unlabeled faces exists in the real world. We explore the learning strateg...
[ { "created": "Wed, 13 Mar 2024 01:07:55 GMT", "version": "v1" } ]
2024-03-14
[ [ "Sun", "Zhonglin", "" ], [ "Feng", "Chen", "" ], [ "Patras", "Ioannis", "" ], [ "Tzimiropoulos", "Georgios", "" ] ]
In this work we focus on learning facial representations that can be adapted to train effective face recognition models, particularly in the absence of labels. Firstly, compared with existing labelled face datasets, a vastly larger magnitude of unlabeled faces exists in the real world. We explore the learning strategy ...
2210.01266
Benjamin Th\'erien
Benjamin Th\'erien and Krzysztof Czarnecki
Interpretable Deep Tracking
null
null
null
null
cs.CV cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Imagine experiencing a crash as the passenger of an autonomous vehicle. Wouldn't you want to know why it happened? Current end-to-end optimizable deep neural networks (DNNs) in 3D detection, multi-object tracking, and motion forecasting provide little to no explanations about how they make their decisions. To help br...
[ { "created": "Mon, 3 Oct 2022 23:15:13 GMT", "version": "v1" } ]
2022-10-05
[ [ "Thérien", "Benjamin", "" ], [ "Czarnecki", "Krzysztof", "" ] ]
Imagine experiencing a crash as the passenger of an autonomous vehicle. Wouldn't you want to know why it happened? Current end-to-end optimizable deep neural networks (DNNs) in 3D detection, multi-object tracking, and motion forecasting provide little to no explanations about how they make their decisions. To help brid...
2310.02550
Wanli Ni
Jianyang Ren, Wanli Ni, Hui Tian, Gaofeng Nie
Convergence Analysis and Latency Minimization for Semi-Federated Learning in Massive IoT Networks
This paper has been accepted by IEEE Transactions on Green Communications and Networking
null
10.1109/TGCN.2023.3309657
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As the number of sensors becomes massive in Internet of Things (IoT) networks, the amount of data is humongous. To process data in real-time while protecting user privacy, federated learning (FL) has been regarded as an enabling technique to push edge intelligence into IoT networks with massive devices. However, FL l...
[ { "created": "Wed, 4 Oct 2023 03:18:29 GMT", "version": "v1" } ]
2023-10-05
[ [ "Ren", "Jianyang", "" ], [ "Ni", "Wanli", "" ], [ "Tian", "Hui", "" ], [ "Nie", "Gaofeng", "" ] ]
As the number of sensors becomes massive in Internet of Things (IoT) networks, the amount of data is humongous. To process data in real-time while protecting user privacy, federated learning (FL) has been regarded as an enabling technique to push edge intelligence into IoT networks with massive devices. However, FL lat...
1004.3258
Vishal Goyal
A. Mosavi
Multiple Criteria Decision-Making Preprocessing Using Data Mining Tools
International Journal of Computer Science Issues at http://ijcsi.org/articles/Multiple-Criteria-Decision-Making-Preprocessing-Using-Data-Mining-Tools.php
IJCSI, Volume 7, Issue 2, March 2010
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Real-life engineering optimization problems need Multiobjective Optimization (MOO) tools. These problems are highly nonlinear. As the process of Multiple Criteria Decision-Making (MCDM) is much expanded most MOO problems in different disciplines can be classified on the basis of it. Thus MCDM methods have gained wide...
[ { "created": "Mon, 19 Apr 2010 17:53:38 GMT", "version": "v1" } ]
2010-04-20
[ [ "Mosavi", "A.", "" ] ]
Real-life engineering optimization problems need Multiobjective Optimization (MOO) tools. These problems are highly nonlinear. As the process of Multiple Criteria Decision-Making (MCDM) is much expanded most MOO problems in different disciplines can be classified on the basis of it. Thus MCDM methods have gained wide p...
2011.00718
Song Fang
Song Fang and Quanyan Zhu
Fundamental Limits of Obfuscation for Linear Gaussian Dynamical Systems: An Information-Theoretic Approach
arXiv admin note: text overlap with arXiv:2008.04893
null
null
null
cs.IT cs.CR cs.LG cs.SY eess.SP eess.SY math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we study the fundamental limits of obfuscation in terms of privacy-distortion tradeoffs for linear Gaussian dynamical systems via an information-theoretic approach. Particularly, we obtain analytical formulas that capture the fundamental privacy-distortion tradeoffs when privacy masks are to be added t...
[ { "created": "Thu, 29 Oct 2020 20:05:50 GMT", "version": "v1" } ]
2020-11-03
[ [ "Fang", "Song", "" ], [ "Zhu", "Quanyan", "" ] ]
In this paper, we study the fundamental limits of obfuscation in terms of privacy-distortion tradeoffs for linear Gaussian dynamical systems via an information-theoretic approach. Particularly, we obtain analytical formulas that capture the fundamental privacy-distortion tradeoffs when privacy masks are to be added to ...
2112.10065
Seo Jin Park
Seo Jin Park, Joshua Fried, Sunghyun Kim, Mohammad Alizadeh, Adam Belay
Efficient Strong Scaling Through Burst Parallel Training
MLSys'22
null
null
null
cs.DC cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As emerging deep neural network (DNN) models continue to grow in size, using large GPU clusters to train DNNs is becoming an essential requirement to achieving acceptable training times. In this paper, we consider the case where future increases in cluster size will cause the global batch size that can be used to tra...
[ { "created": "Sun, 19 Dec 2021 05:18:39 GMT", "version": "v1" }, { "created": "Sat, 19 Mar 2022 01:54:37 GMT", "version": "v2" }, { "created": "Mon, 23 May 2022 20:51:22 GMT", "version": "v3" } ]
2022-05-25
[ [ "Park", "Seo Jin", "" ], [ "Fried", "Joshua", "" ], [ "Kim", "Sunghyun", "" ], [ "Alizadeh", "Mohammad", "" ], [ "Belay", "Adam", "" ] ]
As emerging deep neural network (DNN) models continue to grow in size, using large GPU clusters to train DNNs is becoming an essential requirement to achieving acceptable training times. In this paper, we consider the case where future increases in cluster size will cause the global batch size that can be used to train...
2302.06433
Emadeldeen Eldele
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li
Label-efficient Time Series Representation Learning: A Review
Accepted in the IEEE Transactions on Artificial Intelligence (TAI) https://ieeexplore.ieee.org/document/10601520
null
10.1109/TAI.2024.3430236
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Label-efficient time series representation learning, which aims to learn effective representations with limited labeled data, is crucial for deploying deep learning models in real-world applications. To address the scarcity of labeled time series data, various strategies, e.g., transfer learning, self-supervised lear...
[ { "created": "Mon, 13 Feb 2023 15:12:15 GMT", "version": "v1" }, { "created": "Tue, 15 Aug 2023 05:09:29 GMT", "version": "v2" }, { "created": "Mon, 26 Feb 2024 03:27:46 GMT", "version": "v3" }, { "created": "Wed, 24 Jul 2024 03:43:32 GMT", "version": "v4" } ]
2024-07-25
[ [ "Eldele", "Emadeldeen", "" ], [ "Ragab", "Mohamed", "" ], [ "Chen", "Zhenghua", "" ], [ "Wu", "Min", "" ], [ "Kwoh", "Chee-Keong", "" ], [ "Li", "Xiaoli", "" ] ]
Label-efficient time series representation learning, which aims to learn effective representations with limited labeled data, is crucial for deploying deep learning models in real-world applications. To address the scarcity of labeled time series data, various strategies, e.g., transfer learning, self-supervised learni...
1808.09406
Dominik Peters
Vittorio Bil\`o, Ioannis Caragiannis, Michele Flammini, Ayumi Igarashi, Gianpiero Monaco, Dominik Peters, Cosimo Vinci, William S. Zwicker
Almost Envy-Free Allocations with Connected Bundles
Accepted journal version
Games and Economic Behavior, 131:197-221, 2022
10.1016/j.geb.2021.11.006
null
cs.GT econ.TH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the existence of allocations of indivisible goods that are envy-free up to one good (EF1), under the additional constraint that each bundle needs to be connected in an underlying item graph. If the graph is a path and the utility functions are monotonic over bundles, we show the existence of EF1 allocations ...
[ { "created": "Tue, 28 Aug 2018 16:57:17 GMT", "version": "v1" }, { "created": "Fri, 20 May 2022 16:09:32 GMT", "version": "v2" } ]
2022-05-23
[ [ "Bilò", "Vittorio", "" ], [ "Caragiannis", "Ioannis", "" ], [ "Flammini", "Michele", "" ], [ "Igarashi", "Ayumi", "" ], [ "Monaco", "Gianpiero", "" ], [ "Peters", "Dominik", "" ], [ "Vinci", "Cosimo", "" ...
We study the existence of allocations of indivisible goods that are envy-free up to one good (EF1), under the additional constraint that each bundle needs to be connected in an underlying item graph. If the graph is a path and the utility functions are monotonic over bundles, we show the existence of EF1 allocations fo...
1410.5010
Georg Hager
Holger Stengel, Jan Treibig, Georg Hager, Gerhard Wellein
Quantifying performance bottlenecks of stencil computations using the Execution-Cache-Memory model
10 pages, 8 figures. Added Roofline comparison and other minor improvements
null
10.1145/2751205.2751240
null
cs.PF cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Stencil algorithms on regular lattices appear in many fields of computational science, and much effort has been put into optimized implementations. Such activities are usually not guided by performance models that provide estimates of expected speedup. Understanding the performance properties and bottlenecks by perfo...
[ { "created": "Sat, 18 Oct 2014 21:49:45 GMT", "version": "v1" }, { "created": "Sat, 17 Jan 2015 14:07:26 GMT", "version": "v2" } ]
2016-01-28
[ [ "Stengel", "Holger", "" ], [ "Treibig", "Jan", "" ], [ "Hager", "Georg", "" ], [ "Wellein", "Gerhard", "" ] ]
Stencil algorithms on regular lattices appear in many fields of computational science, and much effort has been put into optimized implementations. Such activities are usually not guided by performance models that provide estimates of expected speedup. Understanding the performance properties and bottlenecks by perform...
2209.10948
Robin Zbinden
Robin Zbinden
Implementing and Experimenting with Diffusion Models for Text-to-Image Generation
Master's Thesis
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
Taking advantage of the many recent advances in deep learning, text-to-image generative models currently have the merit of attracting the general public attention. Two of these models, DALL-E 2 and Imagen, have demonstrated that highly photorealistic images could be generated from a simple textual description of an i...
[ { "created": "Thu, 22 Sep 2022 12:03:33 GMT", "version": "v1" } ]
2022-09-23
[ [ "Zbinden", "Robin", "" ] ]
Taking advantage of the many recent advances in deep learning, text-to-image generative models currently have the merit of attracting the general public attention. Two of these models, DALL-E 2 and Imagen, have demonstrated that highly photorealistic images could be generated from a simple textual description of an ima...
1506.07077
Carmelo Cascone
Carmelo Cascone, Luca Pollini, Davide Sanvito, Antonio Capone
Traffic Management Applications for Stateful SDN Data Plane
6 pages, 9 figures
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The successful OpenFlow approach to Software Defined Networking (SDN) allows network programmability through a central controller able to orchestrate a set of dumb switches. However, the simple match/action abstraction of OpenFlow switches constrains the evolution of the forwarding rules to be fully managed by the co...
[ { "created": "Tue, 23 Jun 2015 16:22:48 GMT", "version": "v1" }, { "created": "Mon, 31 Aug 2015 16:38:42 GMT", "version": "v2" } ]
2015-09-01
[ [ "Cascone", "Carmelo", "" ], [ "Pollini", "Luca", "" ], [ "Sanvito", "Davide", "" ], [ "Capone", "Antonio", "" ] ]
The successful OpenFlow approach to Software Defined Networking (SDN) allows network programmability through a central controller able to orchestrate a set of dumb switches. However, the simple match/action abstraction of OpenFlow switches constrains the evolution of the forwarding rules to be fully managed by the cont...
1903.02938
Farhad Farzbod
Farhad Farzbod, Onome E. Scott-Emuakpor
Force Analysis for Interactions beyond the Closest Neighbor in a Periodic Structure
null
null
null
null
cs.CE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Periodic structures are a type of metamaterials in which their physical properties not only depend on the unit cell materials but also the way unit cells are arranged and interact with each other. Periodic structure have Interesting wave propagation properties making them suitable materials for acoustic filters and w...
[ { "created": "Tue, 5 Mar 2019 04:10:11 GMT", "version": "v1" } ]
2019-03-08
[ [ "Farzbod", "Farhad", "" ], [ "Scott-Emuakpor", "Onome E.", "" ] ]
Periodic structures are a type of metamaterials in which their physical properties not only depend on the unit cell materials but also the way unit cells are arranged and interact with each other. Periodic structure have Interesting wave propagation properties making them suitable materials for acoustic filters and wav...
2109.12703
Bailian Chen
Bailian Chen, Dylan R. Harp, Yingqi Zhang, Curtis M. Oldenburg, Rajesh J. Pawar
Dynamic Risk Assessment for Geologic CO2 Sequestration
28 pages, 9 figures
null
null
null
cs.IT cs.NA math.IT math.NA
http://creativecommons.org/licenses/by/4.0/
At a geologic CO2 sequestration (GCS) site, geologic uncertainty usually leads to large uncertainty in the predictions of properties that influence metrics for leakage risk assessment, such as CO2 saturations and pressures in potentially leaky wellbores, CO2/brine leakage rates, and leakage consequences such as chang...
[ { "created": "Sun, 26 Sep 2021 20:52:20 GMT", "version": "v1" } ]
2021-09-28
[ [ "Chen", "Bailian", "" ], [ "Harp", "Dylan R.", "" ], [ "Zhang", "Yingqi", "" ], [ "Oldenburg", "Curtis M.", "" ], [ "Pawar", "Rajesh J.", "" ] ]
At a geologic CO2 sequestration (GCS) site, geologic uncertainty usually leads to large uncertainty in the predictions of properties that influence metrics for leakage risk assessment, such as CO2 saturations and pressures in potentially leaky wellbores, CO2/brine leakage rates, and leakage consequences such as changes...
1212.6375
\'Oscar C. V\'asquez
Oscar C. V\'asquez
Energy in computing systems with speed scaling: optimization and mechanisms design
null
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study a simple scheduling game for the speed scaling model. Players want their job to complete early, which however generates a big energy consumption. We address the game from the mechanism design side, and by charging the energy usage to the players we seek for a good compromize between quality of service and en...
[ { "created": "Thu, 27 Dec 2012 14:11:28 GMT", "version": "v1" } ]
2013-01-01
[ [ "Vásquez", "Oscar C.", "" ] ]
We study a simple scheduling game for the speed scaling model. Players want their job to complete early, which however generates a big energy consumption. We address the game from the mechanism design side, and by charging the energy usage to the players we seek for a good compromize between quality of service and ener...
2408.01272
Xinhuan Shu
Xinhuan Shu, Alexis Pister, Junxiu Tang, Fanny Chevalier, Benjamin Bach
Does This Have a Particular Meaning? Interactive Pattern Explanation for Network Visualizations
to be published in IEEE VIS 2024
null
null
null
cs.HC
http://creativecommons.org/licenses/by/4.0/
This paper presents an interactive technique to explain visual patterns in network visualizations to analysts who do not understand these visualizations and who are learning to read them. Learning a visualization requires mastering its visual grammar and decoding information presented through visual marks, graphical ...
[ { "created": "Fri, 2 Aug 2024 13:50:15 GMT", "version": "v1" } ]
2024-08-05
[ [ "Shu", "Xinhuan", "" ], [ "Pister", "Alexis", "" ], [ "Tang", "Junxiu", "" ], [ "Chevalier", "Fanny", "" ], [ "Bach", "Benjamin", "" ] ]
This paper presents an interactive technique to explain visual patterns in network visualizations to analysts who do not understand these visualizations and who are learning to read them. Learning a visualization requires mastering its visual grammar and decoding information presented through visual marks, graphical en...
1609.09544
Shuchin Aeron
Josh Girson and Shuchin Aeron
Algorithms for item categorization based on ordinal ranking data
To appear in IEEE Allerton conference on computing, communications and control, 2016
null
null
null
cs.LG cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a new method for identifying the latent categorization of items based on their rankings. Complimenting a recent work that uses a Dirichlet prior on preference vectors and variational inference, we show that this problem can be effectively dealt with using existing community detection algorithms, with the c...
[ { "created": "Thu, 29 Sep 2016 22:59:45 GMT", "version": "v1" } ]
2016-10-03
[ [ "Girson", "Josh", "" ], [ "Aeron", "Shuchin", "" ] ]
We present a new method for identifying the latent categorization of items based on their rankings. Complimenting a recent work that uses a Dirichlet prior on preference vectors and variational inference, we show that this problem can be effectively dealt with using existing community detection algorithms, with the com...
1609.00483
Sheng Zhou
Weisi Guo, Sheng Zhou, Yunfei Chen, Siyi Wang, Xiaoli Chu, Zhisheng Niu
Simultaneous Information and Energy Flow for IoT Relay Systems with Crowd Harvesting
to appear in IEEE Communications Magazine
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
It is expected that the number of wireless devices will grow rapidly over the next few years due to the growing proliferation of Internet-of-Things (IoT). In order to improve the energy efficiency of information transfer between small devices, we review state-of-the-art research in simultaneous wireless energy and in...
[ { "created": "Fri, 2 Sep 2016 07:10:32 GMT", "version": "v1" } ]
2016-09-05
[ [ "Guo", "Weisi", "" ], [ "Zhou", "Sheng", "" ], [ "Chen", "Yunfei", "" ], [ "Wang", "Siyi", "" ], [ "Chu", "Xiaoli", "" ], [ "Niu", "Zhisheng", "" ] ]
It is expected that the number of wireless devices will grow rapidly over the next few years due to the growing proliferation of Internet-of-Things (IoT). In order to improve the energy efficiency of information transfer between small devices, we review state-of-the-art research in simultaneous wireless energy and info...
2209.08649
Himarsha R Jayanetti
Himarsha R. Jayanetti, Shawn M. Jones, Martin Klein, Alex Osbourne, Paul Koerbin, Michael L. Nelson, Michele C. Weigle
Creating Structure in Web Archives With Collections: Different Concepts From Web Archivists
5 figures, 16 pages, accepted for publication at TPDL 2022
null
null
null
cs.DL
http://creativecommons.org/licenses/by-nc-sa/4.0/
As web archives' holdings grow, archivists subdivide them into collections so they are easier to understand and manage. In this work, we review the collection structures of eight web archive platforms: : Archive-It, Conifer, the Croatian Web Archive (HAW), the Internet Archive's user account web archives, Library of ...
[ { "created": "Sun, 18 Sep 2022 20:31:25 GMT", "version": "v1" } ]
2022-09-20
[ [ "Jayanetti", "Himarsha R.", "" ], [ "Jones", "Shawn M.", "" ], [ "Klein", "Martin", "" ], [ "Osbourne", "Alex", "" ], [ "Koerbin", "Paul", "" ], [ "Nelson", "Michael L.", "" ], [ "Weigle", "Michele C.", "" ...
As web archives' holdings grow, archivists subdivide them into collections so they are easier to understand and manage. In this work, we review the collection structures of eight web archive platforms: : Archive-It, Conifer, the Croatian Web Archive (HAW), the Internet Archive's user account web archives, Library of Co...
1912.12421
Ying Cui
Wei Xu, Ying Cui, Zhi Liu and Haoran Li
Optimal Multi-View Video Transmission in OFDMA Systems
to be appear in IEEE Communications Letters
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this letter, we study the transmission of a multi-view video (MVV) to multiple users in an Orthogonal Frequency Division Multiple Access (OFDMA) system. To maximally improve transmission efficiency, we exploit both natural multicast opportunities and view synthesis-enabled multicast opportunities. First, we establ...
[ { "created": "Sat, 28 Dec 2019 07:46:21 GMT", "version": "v1" } ]
2020-01-01
[ [ "Xu", "Wei", "" ], [ "Cui", "Ying", "" ], [ "Liu", "Zhi", "" ], [ "Li", "Haoran", "" ] ]
In this letter, we study the transmission of a multi-view video (MVV) to multiple users in an Orthogonal Frequency Division Multiple Access (OFDMA) system. To maximally improve transmission efficiency, we exploit both natural multicast opportunities and view synthesis-enabled multicast opportunities. First, we establis...
1906.04859
Yunhao Tang
Yunhao Tang, Shipra Agrawal, Yuri Faenza
Reinforcement Learning for Integer Programming: Learning to Cut
Accepted at International Conference on Machine Learning (ICML) 2020
null
null
null
cs.LG math.OC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Integer programming (IP) is a general optimization framework widely applicable to a variety of unstructured and structured problems arising in, e.g., scheduling, production planning, and graph optimization. As IP models many provably hard to solve problems, modern IP solvers rely on many heuristics. These heuristics ...
[ { "created": "Tue, 11 Jun 2019 23:14:46 GMT", "version": "v1" }, { "created": "Sun, 19 Jul 2020 20:34:20 GMT", "version": "v2" }, { "created": "Tue, 21 Jul 2020 12:57:19 GMT", "version": "v3" } ]
2020-07-22
[ [ "Tang", "Yunhao", "" ], [ "Agrawal", "Shipra", "" ], [ "Faenza", "Yuri", "" ] ]
Integer programming (IP) is a general optimization framework widely applicable to a variety of unstructured and structured problems arising in, e.g., scheduling, production planning, and graph optimization. As IP models many provably hard to solve problems, modern IP solvers rely on many heuristics. These heuristics ar...
2311.09141
Bruno Ziliotto
Andr\'es Cristi and Bruno Ziliotto
Prophet Inequalities Require Only a Constant Number of Samples
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In a prophet inequality problem, $n$ independent random variables are presented to a gambler one by one. The gambler decides when to stop the sequence and obtains the most recent value as reward. We evaluate a stopping rule by the worst-case ratio between its expected reward and the expectation of the maximum variabl...
[ { "created": "Wed, 15 Nov 2023 17:35:04 GMT", "version": "v1" } ]
2023-11-16
[ [ "Cristi", "Andrés", "" ], [ "Ziliotto", "Bruno", "" ] ]
In a prophet inequality problem, $n$ independent random variables are presented to a gambler one by one. The gambler decides when to stop the sequence and obtains the most recent value as reward. We evaluate a stopping rule by the worst-case ratio between its expected reward and the expectation of the maximum variable....
2010.06631
Jialu Zhang
Jialu Zhang, Yitan Wang, Mark Santolucito and Ruzica Piskac
Succinct Explanations With Cascading Decision Trees
null
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The decision tree is one of the most popular and classical machine learning models from the 1980s. However, in many practical applications, decision trees tend to generate decision paths with excessive depth. Long decision paths often cause overfitting problems, and make models difficult to interpret. With longer dec...
[ { "created": "Tue, 13 Oct 2020 18:48:39 GMT", "version": "v1" }, { "created": "Tue, 29 Nov 2022 17:29:50 GMT", "version": "v2" } ]
2022-11-30
[ [ "Zhang", "Jialu", "" ], [ "Wang", "Yitan", "" ], [ "Santolucito", "Mark", "" ], [ "Piskac", "Ruzica", "" ] ]
The decision tree is one of the most popular and classical machine learning models from the 1980s. However, in many practical applications, decision trees tend to generate decision paths with excessive depth. Long decision paths often cause overfitting problems, and make models difficult to interpret. With longer decis...
2403.09415
Rishabh Haria
Rishabh Vallabh Varsha Haria, Amin El Abed, Sebastian Maneth
User Identification via Free Roaming Eye Tracking Data
null
null
null
null
cs.LG cs.HC
http://creativecommons.org/licenses/by/4.0/
We present a new dataset of "free roaming" (FR) and "targeted roaming" (TR): a pool of 41 participants is asked to walk around a university campus (FR) or is asked to find a particular room within a library (TR). Eye movements are recorded using a commodity wearable eye tracker (Pupil Labs Neon at 200Hz). On this dat...
[ { "created": "Thu, 14 Mar 2024 14:04:37 GMT", "version": "v1" } ]
2024-03-15
[ [ "Haria", "Rishabh Vallabh Varsha", "" ], [ "Abed", "Amin El", "" ], [ "Maneth", "Sebastian", "" ] ]
We present a new dataset of "free roaming" (FR) and "targeted roaming" (TR): a pool of 41 participants is asked to walk around a university campus (FR) or is asked to find a particular room within a library (TR). Eye movements are recorded using a commodity wearable eye tracker (Pupil Labs Neon at 200Hz). On this datas...
2212.05895
Juhua Liu
Haibin He, Xinyuan Chen, Chaoyue Wang, Juhua Liu, Bo Du, Dacheng Tao, Yu Qiao
Diff-Font: Diffusion Model for Robust One-Shot Font Generation
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Font generation is a difficult and time-consuming task, especially in those languages using ideograms that have complicated structures with a large number of characters, such as Chinese. To solve this problem, few-shot font generation and even one-shot font generation have attracted a lot of attention. However, most ...
[ { "created": "Mon, 12 Dec 2022 13:51:50 GMT", "version": "v1" }, { "created": "Thu, 6 Apr 2023 15:28:18 GMT", "version": "v2" }, { "created": "Sun, 7 May 2023 15:37:56 GMT", "version": "v3" } ]
2023-05-09
[ [ "He", "Haibin", "" ], [ "Chen", "Xinyuan", "" ], [ "Wang", "Chaoyue", "" ], [ "Liu", "Juhua", "" ], [ "Du", "Bo", "" ], [ "Tao", "Dacheng", "" ], [ "Qiao", "Yu", "" ] ]
Font generation is a difficult and time-consuming task, especially in those languages using ideograms that have complicated structures with a large number of characters, such as Chinese. To solve this problem, few-shot font generation and even one-shot font generation have attracted a lot of attention. However, most ex...
0801.0523
Florent De Dinechin
Florent De Dinechin (LIP), Christoph Quirin Lauter (LIP), Guillaume Melquiond (LIP)
Certifying floating-point implementations using Gappa
null
null
null
null
cs.NA cs.MS
null
High confidence in floating-point programs requires proving numerical properties of final and intermediate values. One may need to guarantee that a value stays within some range, or that the error relative to some ideal value is well bounded. Such work may require several lines of proof for each line of code, and wil...
[ { "created": "Thu, 3 Jan 2008 13:34:03 GMT", "version": "v1" } ]
2008-01-04
[ [ "De Dinechin", "Florent", "", "LIP" ], [ "Lauter", "Christoph Quirin", "", "LIP" ], [ "Melquiond", "Guillaume", "", "LIP" ] ]
High confidence in floating-point programs requires proving numerical properties of final and intermediate values. One may need to guarantee that a value stays within some range, or that the error relative to some ideal value is well bounded. Such work may require several lines of proof for each line of code, and will ...
2212.08661
Feng Qiu
Feng Qiu, Chengyang Xie, Yu Ding, Wanzeng Kong
EffMulti: Efficiently Modeling Complex Multimodal Interactions for Emotion Analysis
6 pages,1 figure
null
null
null
cs.LG cs.AI cs.CL
http://creativecommons.org/licenses/by/4.0/
Humans are skilled in reading the interlocutor's emotion from multimodal signals, including spoken words, simultaneous speech, and facial expressions. It is still a challenge to effectively decode emotions from the complex interactions of multimodal signals. In this paper, we design three kinds of multimodal latent r...
[ { "created": "Fri, 16 Dec 2022 03:05:55 GMT", "version": "v1" } ]
2022-12-20
[ [ "Qiu", "Feng", "" ], [ "Xie", "Chengyang", "" ], [ "Ding", "Yu", "" ], [ "Kong", "Wanzeng", "" ] ]
Humans are skilled in reading the interlocutor's emotion from multimodal signals, including spoken words, simultaneous speech, and facial expressions. It is still a challenge to effectively decode emotions from the complex interactions of multimodal signals. In this paper, we design three kinds of multimodal latent rep...
2106.14642
Li Meng
Li Meng, Anis Yazidi, Morten Goodwin, Paal Engelstad
Expert Q-learning: Deep Reinforcement Learning with Coarse State Values from Offline Expert Examples
Camera-ready version
Septentrio Academic, Tromso, Norway, 2022
10.7557/18.6237
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this article, we propose a novel algorithm for deep reinforcement learning named Expert Q-learning. Expert Q-learning is inspired by Dueling Q-learning and aims at incorporating semi-supervised learning into reinforcement learning through splitting Q-values into state values and action advantages. We require that ...
[ { "created": "Mon, 28 Jun 2021 12:41:45 GMT", "version": "v1" }, { "created": "Tue, 29 Jun 2021 13:37:31 GMT", "version": "v2" }, { "created": "Wed, 2 Mar 2022 09:46:07 GMT", "version": "v3" }, { "created": "Mon, 24 Jun 2024 14:51:14 GMT", "version": "v4" }, { "cr...
2024-06-26
[ [ "Meng", "Li", "" ], [ "Yazidi", "Anis", "" ], [ "Goodwin", "Morten", "" ], [ "Engelstad", "Paal", "" ] ]
In this article, we propose a novel algorithm for deep reinforcement learning named Expert Q-learning. Expert Q-learning is inspired by Dueling Q-learning and aims at incorporating semi-supervised learning into reinforcement learning through splitting Q-values into state values and action advantages. We require that an...
2004.13106
Beyza Ermis Ms
Beyza Ermis, Patrick Ernst, Yannik Stein, Giovanni Zappella
Learning to Rank in the Position Based Model with Bandit Feedback
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Personalization is a crucial aspect of many online experiences. In particular, content ranking is often a key component in delivering sophisticated personalization results. Commonly, supervised learning-to-rank methods are applied, which suffer from bias introduced during data collection by production systems in char...
[ { "created": "Mon, 27 Apr 2020 19:12:20 GMT", "version": "v1" } ]
2020-04-29
[ [ "Ermis", "Beyza", "" ], [ "Ernst", "Patrick", "" ], [ "Stein", "Yannik", "" ], [ "Zappella", "Giovanni", "" ] ]
Personalization is a crucial aspect of many online experiences. In particular, content ranking is often a key component in delivering sophisticated personalization results. Commonly, supervised learning-to-rank methods are applied, which suffer from bias introduced during data collection by production systems in charge...
1503.01566
Harsh Tataria Mr.
Harsh Tataria, Mansoor Shafi, Peter J. Smith, Pawel A. Dmochowski
Coordinated Two-Tier Heterogeneous Cellular Networks with Leakage Based Beamforming
7 pages, 8 figures, submitted to IEEE International Conference on Communications (ICC) 4th International Workshop on Small Cells and 5G (SmallNets), London, UK, June 2015
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we demonstrate the rate gains achieved by two-tier heterogeneous cellular networks (HetNets) with varying degrees of coordination between macrocell and microcell base stations (BSs). We show that without the presence of coordination, network densification does not provide any gain in the sum rate and ra...
[ { "created": "Thu, 5 Mar 2015 07:50:06 GMT", "version": "v1" } ]
2015-03-06
[ [ "Tataria", "Harsh", "" ], [ "Shafi", "Mansoor", "" ], [ "Smith", "Peter J.", "" ], [ "Dmochowski", "Pawel A.", "" ] ]
In this paper we demonstrate the rate gains achieved by two-tier heterogeneous cellular networks (HetNets) with varying degrees of coordination between macrocell and microcell base stations (BSs). We show that without the presence of coordination, network densification does not provide any gain in the sum rate and rapi...
2210.17222
Davide Salvi
Luigi Attorresi, Davide Salvi, Clara Borrelli, Paolo Bestagini, Stefano Tubaro
Combining Automatic Speaker Verification and Prosody Analysis for Synthetic Speech Detection
null
null
null
null
cs.SD cs.CV cs.MM eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The rapid spread of media content synthesis technology and the potentially damaging impact of audio and video deepfakes on people's lives have raised the need to implement systems able to detect these forgeries automatically. In this work we present a novel approach for synthetic speech detection, exploiting the comb...
[ { "created": "Mon, 31 Oct 2022 11:03:03 GMT", "version": "v1" } ]
2022-11-01
[ [ "Attorresi", "Luigi", "" ], [ "Salvi", "Davide", "" ], [ "Borrelli", "Clara", "" ], [ "Bestagini", "Paolo", "" ], [ "Tubaro", "Stefano", "" ] ]
The rapid spread of media content synthesis technology and the potentially damaging impact of audio and video deepfakes on people's lives have raised the need to implement systems able to detect these forgeries automatically. In this work we present a novel approach for synthetic speech detection, exploiting the combin...
2306.14237
Nikolaos Koursioumpas
Lina Magoula, Nikolaos Koursioumpas, Alexandros-Ioannis Thanopoulos, Theodora Panagea, Nikolaos Petropouleas, M. A. Gutierrez-Estevez, Ramin Khalili
A Safe Genetic Algorithm Approach for Energy Efficient Federated Learning in Wireless Communication Networks
6 pages, 6 figures, Accepted in IEEE PIMRC 2023 Conference, Latest revision with small corrections (typos etc.)
null
10.1109/PIMRC56721.2023.10293863
null
cs.NE cs.NI eess.SP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Federated Learning (FL) has emerged as a decentralized technique, where contrary to traditional centralized approaches, devices perform a model training in a collaborative manner, while preserving data privacy. Despite the existing efforts made in FL, its environmental impact is still under investigation, since sever...
[ { "created": "Sun, 25 Jun 2023 13:10:38 GMT", "version": "v1" }, { "created": "Wed, 5 Jul 2023 10:14:52 GMT", "version": "v2" } ]
2023-11-07
[ [ "Magoula", "Lina", "" ], [ "Koursioumpas", "Nikolaos", "" ], [ "Thanopoulos", "Alexandros-Ioannis", "" ], [ "Panagea", "Theodora", "" ], [ "Petropouleas", "Nikolaos", "" ], [ "Gutierrez-Estevez", "M. A.", "" ], [ "...
Federated Learning (FL) has emerged as a decentralized technique, where contrary to traditional centralized approaches, devices perform a model training in a collaborative manner, while preserving data privacy. Despite the existing efforts made in FL, its environmental impact is still under investigation, since several...
0806.4468
Rui Zhang
Rui Zhang, Shuguang Cui, and Ying-Chang Liang
On Ergodic Sum Capacity of Fading Cognitive Multiple-Access and Broadcast Channels
To appear in IEEE Transactions on Information Theory
null
10.1109/TIT.2009.2030449
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper studies the information-theoretic limits of a secondary or cognitive radio (CR) network under spectrum sharing with an existing primary radio network. In particular, the fading cognitive multiple-access channel (C-MAC) is first studied, where multiple secondary users transmit to the secondary base station ...
[ { "created": "Fri, 27 Jun 2008 09:32:01 GMT", "version": "v1" }, { "created": "Mon, 3 Aug 2009 05:59:45 GMT", "version": "v2" } ]
2016-11-18
[ [ "Zhang", "Rui", "" ], [ "Cui", "Shuguang", "" ], [ "Liang", "Ying-Chang", "" ] ]
This paper studies the information-theoretic limits of a secondary or cognitive radio (CR) network under spectrum sharing with an existing primary radio network. In particular, the fading cognitive multiple-access channel (C-MAC) is first studied, where multiple secondary users transmit to the secondary base station (B...
2309.14054
Piyush Tiwary
Piyush Tiwary, Atri Guha, Subhodip Panda, Prathosh A.P
Adapt then Unlearn: Exploiting Parameter Space Semantics for Unlearning in Generative Adversarial Networks
15 pages, 12 figures
null
null
null
cs.LG cs.AI cs.CV
http://creativecommons.org/licenses/by/4.0/
The increased attention to regulating the outputs of deep generative models, driven by growing concerns about privacy and regulatory compliance, has highlighted the need for effective control over these models. This necessity arises from instances where generative models produce outputs containing undesirable, offens...
[ { "created": "Mon, 25 Sep 2023 11:36:20 GMT", "version": "v1" } ]
2023-09-26
[ [ "Tiwary", "Piyush", "" ], [ "Guha", "Atri", "" ], [ "Panda", "Subhodip", "" ], [ "P", "Prathosh A.", "" ] ]
The increased attention to regulating the outputs of deep generative models, driven by growing concerns about privacy and regulatory compliance, has highlighted the need for effective control over these models. This necessity arises from instances where generative models produce outputs containing undesirable, offensiv...
2204.03831
Wooyoung Kim
Wooyoung Kim, Chaerin Jo, Minjung Kim and Wooju Kim
Marvelous Agglutinative Language Effect on Cross Lingual Transfer Learning
ICEC2022 Oral
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As for multilingual language models, it is important to select languages for training because of the curse of multilinguality. It is known that using languages with similar language structures is effective for cross lingual transfer learning. However, we demonstrate that using agglutinative languages such as Korean i...
[ { "created": "Fri, 8 Apr 2022 04:04:45 GMT", "version": "v1" }, { "created": "Thu, 23 May 2024 07:10:43 GMT", "version": "v2" }, { "created": "Fri, 24 May 2024 07:13:18 GMT", "version": "v3" } ]
2024-05-27
[ [ "Kim", "Wooyoung", "" ], [ "Jo", "Chaerin", "" ], [ "Kim", "Minjung", "" ], [ "Kim", "Wooju", "" ] ]
As for multilingual language models, it is important to select languages for training because of the curse of multilinguality. It is known that using languages with similar language structures is effective for cross lingual transfer learning. However, we demonstrate that using agglutinative languages such as Korean is ...
2305.16440
Navjot Singh
Navjot Singh, Suhas Diggavi
Representation Transfer Learning via Multiple Pre-trained models for Linear Regression
20 pages
null
null
null
cs.LG stat.ML
http://creativecommons.org/licenses/by/4.0/
In this paper, we consider the problem of learning a linear regression model on a data domain of interest (target) given few samples. To aid learning, we are provided with a set of pre-trained regression models that are trained on potentially different data domains (sources). Assuming a representation structure for t...
[ { "created": "Thu, 25 May 2023 19:35:24 GMT", "version": "v1" }, { "created": "Sun, 25 Jun 2023 01:16:32 GMT", "version": "v2" } ]
2023-06-27
[ [ "Singh", "Navjot", "" ], [ "Diggavi", "Suhas", "" ] ]
In this paper, we consider the problem of learning a linear regression model on a data domain of interest (target) given few samples. To aid learning, we are provided with a set of pre-trained regression models that are trained on potentially different data domains (sources). Assuming a representation structure for the...
1810.05561
Prathamesh Mayekar
Prathamesh Mayekar, Parimal Parag, and Himanshu Tyagi
Optimal Source Codes for Timely Updates
Added a missing reference, in IEEE Transactions on Information Theory, 2020
IEEE Transactions on Information Theory, vol. 66, no. 6, pp. 3714--3731, June 2020
10.1109/TIT.2020.2983151
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A transmitter observing a sequence of independent and identically distributed random variables seeks to keep a receiver updated about its latest observations. The receiver need not be apprised about each symbol seen by the transmitter, but needs to output a symbol at each time instant $t$. If at time $t$ the receiver...
[ { "created": "Fri, 12 Oct 2018 14:59:13 GMT", "version": "v1" }, { "created": "Mon, 7 Jan 2019 09:45:45 GMT", "version": "v2" }, { "created": "Fri, 27 Mar 2020 05:32:01 GMT", "version": "v3" } ]
2021-03-26
[ [ "Mayekar", "Prathamesh", "" ], [ "Parag", "Parimal", "" ], [ "Tyagi", "Himanshu", "" ] ]
A transmitter observing a sequence of independent and identically distributed random variables seeks to keep a receiver updated about its latest observations. The receiver need not be apprised about each symbol seen by the transmitter, but needs to output a symbol at each time instant $t$. If at time $t$ the receiver o...
1202.3470
Markus Jalsenius
Raphael Clifford, Markus Jalsenius, Ely Porat, Benjamin Sach
Pattern Matching in Multiple Streams
13 pages, 1 figure
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We investigate the problem of deterministic pattern matching in multiple streams. In this model, one symbol arrives at a time and is associated with one of s streaming texts. The task at each time step is to report if there is a new match between a fixed pattern of length m and a newly updated stream. As is usual in ...
[ { "created": "Wed, 15 Feb 2012 23:11:48 GMT", "version": "v1" }, { "created": "Wed, 25 Apr 2012 13:54:14 GMT", "version": "v2" } ]
2012-04-26
[ [ "Clifford", "Raphael", "" ], [ "Jalsenius", "Markus", "" ], [ "Porat", "Ely", "" ], [ "Sach", "Benjamin", "" ] ]
We investigate the problem of deterministic pattern matching in multiple streams. In this model, one symbol arrives at a time and is associated with one of s streaming texts. The task at each time step is to report if there is a new match between a fixed pattern of length m and a newly updated stream. As is usual in th...
2208.09814
Hideaki Iiduka
Hideaki Iiduka
Critical Bach Size Minimizes Stochastic First-Order Oracle Complexity of Deep Learning Optimizer using Hyperparameters Close to One
arXiv admin note: text overlap with arXiv:2112.07163
null
null
null
cs.LG math.OC
http://creativecommons.org/licenses/by/4.0/
Practical results have shown that deep learning optimizers using small constant learning rates, hyperparameters close to one, and large batch sizes can find the model parameters of deep neural networks that minimize the loss functions. We first show theoretical evidence that the momentum method (Momentum) and adaptiv...
[ { "created": "Sun, 21 Aug 2022 06:11:23 GMT", "version": "v1" } ]
2022-08-23
[ [ "Iiduka", "Hideaki", "" ] ]
Practical results have shown that deep learning optimizers using small constant learning rates, hyperparameters close to one, and large batch sizes can find the model parameters of deep neural networks that minimize the loss functions. We first show theoretical evidence that the momentum method (Momentum) and adaptive ...
2010.02787
Maximilian Katzmann
Thomas Bl\"asius, Tobias Friedrich, Maximilian Katzmann
Efficiently Approximating Vertex Cover on Scale-Free Networks with Underlying Hyperbolic Geometry
null
null
10.1007/s00453-023-01143-x
null
cs.DS
http://creativecommons.org/licenses/by/4.0/
Finding a minimum vertex cover in a network is a fundamental NP-complete graph problem. One way to deal with its computational hardness, is to trade the qualitative performance of an algorithm (allowing non-optimal outputs) for an improved running time. For the vertex cover problem, there is a gap between theory and ...
[ { "created": "Tue, 6 Oct 2020 14:56:48 GMT", "version": "v1" }, { "created": "Fri, 25 Jun 2021 11:04:42 GMT", "version": "v2" }, { "created": "Wed, 8 Dec 2021 14:56:02 GMT", "version": "v3" }, { "created": "Wed, 13 Dec 2023 09:02:07 GMT", "version": "v4" } ]
2023-12-14
[ [ "Bläsius", "Thomas", "" ], [ "Friedrich", "Tobias", "" ], [ "Katzmann", "Maximilian", "" ] ]
Finding a minimum vertex cover in a network is a fundamental NP-complete graph problem. One way to deal with its computational hardness, is to trade the qualitative performance of an algorithm (allowing non-optimal outputs) for an improved running time. For the vertex cover problem, there is a gap between theory and pr...
1709.00643
Qifeng Chen
Qifeng Chen, Jia Xu, Vladlen Koltun
Fast Image Processing with Fully-Convolutional Networks
Published at the International Conference on Computer Vision (ICCV 2017)
null
null
null
cs.CV cs.GR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present an approach to accelerating a wide variety of image processing operators. Our approach uses a fully-convolutional network that is trained on input-output pairs that demonstrate the operator's action. After training, the original operator need not be run at all. The trained network operates at full resoluti...
[ { "created": "Sat, 2 Sep 2017 22:38:13 GMT", "version": "v1" } ]
2017-09-05
[ [ "Chen", "Qifeng", "" ], [ "Xu", "Jia", "" ], [ "Koltun", "Vladlen", "" ] ]
We present an approach to accelerating a wide variety of image processing operators. Our approach uses a fully-convolutional network that is trained on input-output pairs that demonstrate the operator's action. After training, the original operator need not be run at all. The trained network operates at full resolution...