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1906.04199
Vrunda Dave
V. Dave, E. Filiot, S. Krishna and N. Lhote
Synthesis of Computable Regular Functions of Infinite Words
null
Logical Methods in Computer Science, Volume 18, Issue 2 (June 29, 2022) lmcs:7592
10.46298/lmcs-18(2:23)2022
null
cs.FL cs.LO
http://creativecommons.org/licenses/by/4.0/
Regular functions from infinite words to infinite words can be equivalently specified by MSO-transducers, streaming $\omega$-string transducers as well as deterministic two-way transducers with look-ahead. In their one-way restriction, the latter transducers define the class of rational functions. Even though regular...
[ { "created": "Wed, 15 May 2019 11:35:35 GMT", "version": "v1" }, { "created": "Tue, 15 Jun 2021 14:37:13 GMT", "version": "v2" }, { "created": "Wed, 16 Feb 2022 12:04:14 GMT", "version": "v3" }, { "created": "Mon, 25 Apr 2022 17:13:29 GMT", "version": "v4" }, { "c...
2023-06-22
[ [ "Dave", "V.", "" ], [ "Filiot", "E.", "" ], [ "Krishna", "S.", "" ], [ "Lhote", "N.", "" ] ]
Regular functions from infinite words to infinite words can be equivalently specified by MSO-transducers, streaming $\omega$-string transducers as well as deterministic two-way transducers with look-ahead. In their one-way restriction, the latter transducers define the class of rational functions. Even though regular f...
1801.03553
Mario Diaz
Mario Diaz, Shahab Asoodeh, Fady Alajaji, Tam\'as Linder, Serban Belinschi and James Mingo
On the Noise-Information Separation of a Private Principal Component Analysis Scheme
Submitted to the International Symposium on Information Theory (ISIT) 2018
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In a survey disclosure model, we consider an additive noise privacy mechanism and study the trade-off between privacy guarantees and statistical utility. Privacy is approached from two different but complementary viewpoints: information and estimation theoretic. Motivated by the performance of principal component ana...
[ { "created": "Wed, 10 Jan 2018 21:10:54 GMT", "version": "v1" } ]
2018-01-12
[ [ "Diaz", "Mario", "" ], [ "Asoodeh", "Shahab", "" ], [ "Alajaji", "Fady", "" ], [ "Linder", "Tamás", "" ], [ "Belinschi", "Serban", "" ], [ "Mingo", "James", "" ] ]
In a survey disclosure model, we consider an additive noise privacy mechanism and study the trade-off between privacy guarantees and statistical utility. Privacy is approached from two different but complementary viewpoints: information and estimation theoretic. Motivated by the performance of principal component analy...
1211.2268
Yun Kuen Cheung
Yun Kuen Cheung, Richard Cole, Ashish Rastogi
Tatonnement in Ongoing Markets of Complementary Goods
44 pages, ACM EC 2012
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper continues the study, initiated by Cole and Fleischer, of the behavior of a tatonnement price update rule in Ongoing Fisher Markets. The prior work showed fast convergence toward an equilibrium when the goods satisfied the weak gross substitutes property and had bounded demand and income elasticities. The...
[ { "created": "Sat, 10 Nov 2012 00:24:54 GMT", "version": "v1" } ]
2012-11-13
[ [ "Cheung", "Yun Kuen", "" ], [ "Cole", "Richard", "" ], [ "Rastogi", "Ashish", "" ] ]
This paper continues the study, initiated by Cole and Fleischer, of the behavior of a tatonnement price update rule in Ongoing Fisher Markets. The prior work showed fast convergence toward an equilibrium when the goods satisfied the weak gross substitutes property and had bounded demand and income elasticities. The cur...
1912.07476
Bobak McCann
Bobak McCann, Kerry Fendick, Aaron David, Antonio DeSimone, Steven Handy
Improving Conversation Quality for VoIP Through Block Erasure Coding
null
null
null
null
cs.IT eess.IV math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The conversational quality of voice over IP (VoIP) depends on packet-loss rates, burstiness of packet loss, and delays (or latencies). The benefits for conversational voice quality of erasure coding attributable to its reduction in packet loss rates are widely appreciated. When block erasure coding is used, our analy...
[ { "created": "Mon, 16 Dec 2019 16:18:19 GMT", "version": "v1" } ]
2019-12-17
[ [ "McCann", "Bobak", "" ], [ "Fendick", "Kerry", "" ], [ "David", "Aaron", "" ], [ "DeSimone", "Antonio", "" ], [ "Handy", "Steven", "" ] ]
The conversational quality of voice over IP (VoIP) depends on packet-loss rates, burstiness of packet loss, and delays (or latencies). The benefits for conversational voice quality of erasure coding attributable to its reduction in packet loss rates are widely appreciated. When block erasure coding is used, our analysi...
2307.05506
Doksoo Lee
Doksoo Lee, Wei Wayne Chen, Liwei Wang, Yu-Chin Chan, Wei Chen
Data-Driven Design for Metamaterials and Multiscale Systems: A Review
null
null
10.1002/adma.202305254
null
cs.CE cond-mat.mtrl-sci cs.LG
http://creativecommons.org/licenses/by/4.0/
Metamaterials are artificial materials designed to exhibit effective material parameters that go beyond those found in nature. Composed of unit cells with rich designability that are assembled into multiscale systems, they hold great promise for realizing next-generation devices with exceptional, often exotic, functi...
[ { "created": "Sat, 1 Jul 2023 22:36:40 GMT", "version": "v1" } ]
2023-12-07
[ [ "Lee", "Doksoo", "" ], [ "Chen", "Wei Wayne", "" ], [ "Wang", "Liwei", "" ], [ "Chan", "Yu-Chin", "" ], [ "Chen", "Wei", "" ] ]
Metamaterials are artificial materials designed to exhibit effective material parameters that go beyond those found in nature. Composed of unit cells with rich designability that are assembled into multiscale systems, they hold great promise for realizing next-generation devices with exceptional, often exotic, function...
1804.08355
Hui Li
Hui Li, Xiao-Jun Wu
Multi-focus Image Fusion using dictionary learning and Low-Rank Representation
12 pages, 5 figures, 2 tables. The 9th International Conference on Image and Graphics (ICIG 2017, Oral)
null
10.1007/978-3-319-71607-7_59
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Among the representation learning, the low-rank representation (LRR) is one of the hot research topics in many fields, especially in image processing and pattern recognition. Although LRR can capture the global structure, the ability of local structure preservation is limited because LRR lacks dictionary learning. In...
[ { "created": "Mon, 23 Apr 2018 11:57:44 GMT", "version": "v1" }, { "created": "Tue, 18 Dec 2018 08:32:20 GMT", "version": "v2" } ]
2018-12-19
[ [ "Li", "Hui", "" ], [ "Wu", "Xiao-Jun", "" ] ]
Among the representation learning, the low-rank representation (LRR) is one of the hot research topics in many fields, especially in image processing and pattern recognition. Although LRR can capture the global structure, the ability of local structure preservation is limited because LRR lacks dictionary learning. In t...
1503.02009
Sergio Consoli
Sergio Consoli, Jos\`e Andr\`es Moreno P\`erez, and Nenad Mladenovic
Towards an intelligent VNS heuristic for the k-labelled spanning forest problem
2 pages, Fifteenth International Conference on Computer Aided Systems Theory (EUROCAST 2015), Las Palmas de Gran Canaria, Spain
Computer Aided Systems Theory, pages 79-80 (2015)
null
null
cs.OH cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In a currently ongoing project, we investigate a new possibility for solving the k-labelled spanning forest (kLSF) problem by an intelligent Variable Neighbourhood Search (Int-VNS) metaheuristic. In the kLSF problem we are given an undirected input graph G and an integer positive value k, and the aim is to find a spa...
[ { "created": "Thu, 5 Mar 2015 14:10:19 GMT", "version": "v1" } ]
2015-03-09
[ [ "Consoli", "Sergio", "" ], [ "Pèrez", "Josè Andrès Moreno", "" ], [ "Mladenovic", "Nenad", "" ] ]
In a currently ongoing project, we investigate a new possibility for solving the k-labelled spanning forest (kLSF) problem by an intelligent Variable Neighbourhood Search (Int-VNS) metaheuristic. In the kLSF problem we are given an undirected input graph G and an integer positive value k, and the aim is to find a spann...
2312.14991
Huiyan Qi
Yuehao Yin, Huiyan Qi, Bin Zhu, Jingjing Chen, Yu-Gang Jiang, Chong-Wah Ngo
FoodLMM: A Versatile Food Assistant using Large Multi-modal Model
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-nd/4.0/
Large Multi-modal Models (LMMs) have made impressive progress in many vision-language tasks. Nevertheless, the performance of general LMMs in specific domains is still far from satisfactory. This paper proposes FoodLMM, a versatile food assistant based on LMMs with various capabilities, including food recognition, in...
[ { "created": "Fri, 22 Dec 2023 11:56:22 GMT", "version": "v1" }, { "created": "Fri, 12 Apr 2024 14:21:20 GMT", "version": "v2" } ]
2024-04-15
[ [ "Yin", "Yuehao", "" ], [ "Qi", "Huiyan", "" ], [ "Zhu", "Bin", "" ], [ "Chen", "Jingjing", "" ], [ "Jiang", "Yu-Gang", "" ], [ "Ngo", "Chong-Wah", "" ] ]
Large Multi-modal Models (LMMs) have made impressive progress in many vision-language tasks. Nevertheless, the performance of general LMMs in specific domains is still far from satisfactory. This paper proposes FoodLMM, a versatile food assistant based on LMMs with various capabilities, including food recognition, ingr...
1109.5083
Vivek Nittoor
Vivek S Nittoor, Reiji Suda
A Mathematical Approach to Balanced Tanner Graph Enumeration
8 pages - results in this paper have been superceded by new results
null
null
null
cs.IT math.CO math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper summarizes our latest understanding and results about the application of the Mathematics Of Enumeration to Tanner Graphs that have a regular structure called Balanced Tanner Graphs. Some preliminaries of permutation groups have been presented followed by various enumeration theorems, and finally our approa...
[ { "created": "Fri, 23 Sep 2011 14:10:35 GMT", "version": "v1" }, { "created": "Mon, 31 Dec 2012 12:55:50 GMT", "version": "v2" } ]
2013-01-01
[ [ "Nittoor", "Vivek S", "" ], [ "Suda", "Reiji", "" ] ]
This paper summarizes our latest understanding and results about the application of the Mathematics Of Enumeration to Tanner Graphs that have a regular structure called Balanced Tanner Graphs. Some preliminaries of permutation groups have been presented followed by various enumeration theorems, and finally our approach...
1206.6859
Kathryn Blackmond Laskey
Kathryn Blackmond Laskey, Ning Xu, Chun-Hung Chen
Propagation of Delays in the National Airspace System
Appears in Proceedings of the Twenty-Second Conference on Uncertainty in Artificial Intelligence (UAI2006)
null
null
UAI-P-2006-PG-265-272
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The National Airspace System (NAS) is a large and complex system with thousands of interrelated components: administration, control centers, airports, airlines, aircraft, passengers, etc. The complexity of the NAS creates many difficulties in management and control. One of the most pressing problems is flight delay. ...
[ { "created": "Wed, 27 Jun 2012 16:27:12 GMT", "version": "v1" } ]
2012-07-02
[ [ "Laskey", "Kathryn Blackmond", "" ], [ "Xu", "Ning", "" ], [ "Chen", "Chun-Hung", "" ] ]
The National Airspace System (NAS) is a large and complex system with thousands of interrelated components: administration, control centers, airports, airlines, aircraft, passengers, etc. The complexity of the NAS creates many difficulties in management and control. One of the most pressing problems is flight delay. De...
1903.06875
Jean Louis Fendji Kedieng Ebongue
Jean Louis Ebongue Kedieng Fendji and Sidoine Djuissi Samo
Energy and performance evaluation of reactive, proactive, and hybrid routing protocols in wireless mesh network
19 pages
International Journal of Wireless & Mobile Networks (IJWMN) Vol. 11, No. 1, February 2019
10.5121/ijwmn.2019.11102
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper evaluates the energy consumption of well-known routing protocols, along with other metrics such as throughput, packet delivery ratio (PDR), and delay in different scenarios. We consider two other metrics in order to capture the efficiency of the energy consumption: e-throughput which is the ratio between t...
[ { "created": "Sat, 16 Mar 2019 03:41:18 GMT", "version": "v1" } ]
2019-03-19
[ [ "Fendji", "Jean Louis Ebongue Kedieng", "" ], [ "Samo", "Sidoine Djuissi", "" ] ]
This paper evaluates the energy consumption of well-known routing protocols, along with other metrics such as throughput, packet delivery ratio (PDR), and delay in different scenarios. We consider two other metrics in order to capture the efficiency of the energy consumption: e-throughput which is the ratio between the...
1507.04002
J{\o}rgen Villadsen
J{\o}rgen Villadsen, Alexander Birch Jensen and Anders Schlichtkrull
NaDeA: A Natural Deduction Assistant with a Formalization in Isabelle
Proceedings of the Fourth International Conference on Tools for Teaching Logic (TTL2015), Rennes, France, June 9-12, 2015. Editors: M. Antonia Huertas, Jo\~ao Marcos, Mar\'ia Manzano, Sophie Pinchinat, Fran\c{c}ois Schwarzentruber
null
null
null
cs.CY cs.LO
http://creativecommons.org/licenses/by/4.0/
We present a new software tool for teaching logic based on natural deduction. Its proof system is formalized in the proof assistant Isabelle such that its definition is very precise. Soundness of the formalization has been proved in Isabelle. The tool is open source software developed in TypeScript / JavaScript and c...
[ { "created": "Tue, 14 Jul 2015 20:02:30 GMT", "version": "v1" } ]
2015-07-16
[ [ "Villadsen", "Jørgen", "" ], [ "Jensen", "Alexander Birch", "" ], [ "Schlichtkrull", "Anders", "" ] ]
We present a new software tool for teaching logic based on natural deduction. Its proof system is formalized in the proof assistant Isabelle such that its definition is very precise. Soundness of the formalization has been proved in Isabelle. The tool is open source software developed in TypeScript / JavaScript and can...
1702.06144
Uri Erez
Ran Hadad, Uri Erez, and Yaming Yu
An Inequality for the Correlation of Two Functions Operating on Symmetric Bivariate Normal Variables
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
An inequality is derived for the correlation of two univariate functions operating on symmetric bivariate normal random variables. The inequality is a simple consequence of the Cauchy-Schwarz inequality.
[ { "created": "Mon, 20 Feb 2017 19:11:10 GMT", "version": "v1" } ]
2017-02-22
[ [ "Hadad", "Ran", "" ], [ "Erez", "Uri", "" ], [ "Yu", "Yaming", "" ] ]
An inequality is derived for the correlation of two univariate functions operating on symmetric bivariate normal random variables. The inequality is a simple consequence of the Cauchy-Schwarz inequality.
2203.09017
Bo Liu
Bo Liu, Qiulei Dong, Zhanyi Hu
Semantic-diversity transfer network for generalized zero-shot learning via inner disagreement based OOD detector
35 pages, 6 figures
Knowledge based System, 2021
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
Zero-shot learning (ZSL) aims to recognize objects from unseen classes, where the kernel problem is to transfer knowledge from seen classes to unseen classes by establishing appropriate mappings between visual and semantic features. The knowledge transfer in many existing works is limited mainly due to the facts that...
[ { "created": "Thu, 17 Mar 2022 01:31:27 GMT", "version": "v1" } ]
2022-03-18
[ [ "Liu", "Bo", "" ], [ "Dong", "Qiulei", "" ], [ "Hu", "Zhanyi", "" ] ]
Zero-shot learning (ZSL) aims to recognize objects from unseen classes, where the kernel problem is to transfer knowledge from seen classes to unseen classes by establishing appropriate mappings between visual and semantic features. The knowledge transfer in many existing works is limited mainly due to the facts that 1...
2108.07401
Shengcheng Yu
Shengcheng Yu, Chunrong Fang, Quanjun Zhang, Zhihao Cao, Yexiao Yun, Zhenfei Cao, Kai Mei, Zhenyu Chen
Mobile App Crowdsourced Test Report Consistency Detection via Deep Image-and-Text Fusion Understanding
null
null
10.1109/TSE.2023.3285787
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Crowdsourced testing, as a distinct testing paradigm, has attracted much attention in software testing, especially in mobile application (app) testing field. Compared with in-house testing, crowdsourced testing shows superiority with the diverse testing environments when faced with the mobile testing fragmentation pr...
[ { "created": "Tue, 17 Aug 2021 02:02:56 GMT", "version": "v1" }, { "created": "Mon, 23 Aug 2021 02:22:06 GMT", "version": "v2" }, { "created": "Mon, 12 Jun 2023 08:26:44 GMT", "version": "v3" } ]
2023-06-13
[ [ "Yu", "Shengcheng", "" ], [ "Fang", "Chunrong", "" ], [ "Zhang", "Quanjun", "" ], [ "Cao", "Zhihao", "" ], [ "Yun", "Yexiao", "" ], [ "Cao", "Zhenfei", "" ], [ "Mei", "Kai", "" ], [ "Chen", "Zhe...
Crowdsourced testing, as a distinct testing paradigm, has attracted much attention in software testing, especially in mobile application (app) testing field. Compared with in-house testing, crowdsourced testing shows superiority with the diverse testing environments when faced with the mobile testing fragmentation prob...
2405.01115
Hongliang Zhang
Hongliang Zhang, Yilan Zhou, Lei Wang and Tengchao Huang
A New Self-Alignment Method without Solving Wahba Problem for SINS in Autonomous Vehicles
null
null
null
null
cs.RO cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Initial alignment is one of the key technologies in strapdown inertial navigation system (SINS) to provide initial state information for vehicle attitude and navigation. For some situations, such as the attitude heading reference system, the position is not necessarily required or even available, then the self-alignm...
[ { "created": "Thu, 2 May 2024 09:23:37 GMT", "version": "v1" } ]
2024-05-03
[ [ "Zhang", "Hongliang", "" ], [ "Zhou", "Yilan", "" ], [ "Wang", "Lei", "" ], [ "Huang", "Tengchao", "" ] ]
Initial alignment is one of the key technologies in strapdown inertial navigation system (SINS) to provide initial state information for vehicle attitude and navigation. For some situations, such as the attitude heading reference system, the position is not necessarily required or even available, then the self-alignmen...
2311.02715
Arun Verma
Arun Verma, Zhongxiang Dai, Yao Shu, Bryan Kian Hsiang Low
Exploiting Correlated Auxiliary Feedback in Parameterized Bandits
Accepted to NeurIPS 2023
null
null
null
cs.LG stat.ML
http://creativecommons.org/licenses/by/4.0/
We study a novel variant of the parameterized bandits problem in which the learner can observe additional auxiliary feedback that is correlated with the observed reward. The auxiliary feedback is readily available in many real-life applications, e.g., an online platform that wants to recommend the best-rated services...
[ { "created": "Sun, 5 Nov 2023 17:27:06 GMT", "version": "v1" } ]
2023-11-07
[ [ "Verma", "Arun", "" ], [ "Dai", "Zhongxiang", "" ], [ "Shu", "Yao", "" ], [ "Low", "Bryan Kian Hsiang", "" ] ]
We study a novel variant of the parameterized bandits problem in which the learner can observe additional auxiliary feedback that is correlated with the observed reward. The auxiliary feedback is readily available in many real-life applications, e.g., an online platform that wants to recommend the best-rated services t...
2211.03206
Maria Serna
Josep D\'iaz, \"Oznur Ya\c{s}ar Diner, Maria Serna, Oriol Serra
On Vertex Bisection Width of Random $d$-Regular Graphs
31 pages, 2 figures
null
null
null
cs.DS
http://creativecommons.org/licenses/by/4.0/
Vertex bisection is a graph partitioning problem in which the aim is to find a partition into two equal parts that minimizes the number of vertices in one partition set that have a neighbor in the other set. We are interested in giving upper bounds on the vertex bisection width of random $d$-regular graphs for consta...
[ { "created": "Sun, 6 Nov 2022 19:17:04 GMT", "version": "v1" } ]
2022-11-08
[ [ "Díaz", "Josep", "" ], [ "Diner", "Öznur Yaşar", "" ], [ "Serna", "Maria", "" ], [ "Serra", "Oriol", "" ] ]
Vertex bisection is a graph partitioning problem in which the aim is to find a partition into two equal parts that minimizes the number of vertices in one partition set that have a neighbor in the other set. We are interested in giving upper bounds on the vertex bisection width of random $d$-regular graphs for constant...
2003.07945
Yang Hu
Soroush Bateni, Zhendong Wang, Yuankun Zhu, Yang Hu, Cong Liu
Co-Optimizing Performance and Memory FootprintVia Integrated CPU/GPU Memory Management, anImplementation on Autonomous Driving Platform
null
null
null
null
cs.DC cs.OS
http://creativecommons.org/licenses/by/4.0/
Cutting-edge embedded system applications, such as self-driving cars and unmanned drone software, are reliant on integrated CPU/GPU platforms for their DNNs-driven workload, such as perception and other highly parallel components. In this work, we set out to explore the hidden performance implication of GPU memory ma...
[ { "created": "Tue, 17 Mar 2020 21:09:24 GMT", "version": "v1" }, { "created": "Thu, 19 Mar 2020 02:43:49 GMT", "version": "v2" } ]
2020-03-20
[ [ "Bateni", "Soroush", "" ], [ "Wang", "Zhendong", "" ], [ "Zhu", "Yuankun", "" ], [ "Hu", "Yang", "" ], [ "Liu", "Cong", "" ] ]
Cutting-edge embedded system applications, such as self-driving cars and unmanned drone software, are reliant on integrated CPU/GPU platforms for their DNNs-driven workload, such as perception and other highly parallel components. In this work, we set out to explore the hidden performance implication of GPU memory mana...
2303.01957
Bireswar Das
Bireswar Das, Anant Kumar, Shivdutt Sharma, Dhara Thakkar
Linear Space Data Structures for Finite Groups with Constant Query-time
A preliminary version of this article appeared in the pro- ceedings of the 39th International Symposium on Theoretical Aspects of Computer Science (STACS 2022)
null
null
null
cs.DS cs.DM math.CO math.GR
http://creativecommons.org/licenses/by/4.0/
A finite group of order $n$ can be represented by its Cayley table. In the word-RAM model the Cayley table of a group of order $n$ can be stored using $O(n^2)$ words and can be used to answer a multiplication query in constant time. It is interesting to ask if we can design a data structure to store a group of order ...
[ { "created": "Fri, 3 Mar 2023 14:30:48 GMT", "version": "v1" } ]
2023-03-06
[ [ "Das", "Bireswar", "" ], [ "Kumar", "Anant", "" ], [ "Sharma", "Shivdutt", "" ], [ "Thakkar", "Dhara", "" ] ]
A finite group of order $n$ can be represented by its Cayley table. In the word-RAM model the Cayley table of a group of order $n$ can be stored using $O(n^2)$ words and can be used to answer a multiplication query in constant time. It is interesting to ask if we can design a data structure to store a group of order $n...
1907.12009
Jun Gao
Jun Gao, Di He, Xu Tan, Tao Qin, Liwei Wang and Tie-Yan Liu
Representation Degeneration Problem in Training Natural Language Generation Models
ICLR 2019
null
null
null
cs.CL
http://creativecommons.org/licenses/by-nc-sa/4.0/
We study an interesting problem in training neural network-based models for natural language generation tasks, which we call the \emph{representation degeneration problem}. We observe that when training a model for natural language generation tasks through likelihood maximization with the weight tying trick, especial...
[ { "created": "Sun, 28 Jul 2019 03:57:41 GMT", "version": "v1" } ]
2019-07-30
[ [ "Gao", "Jun", "" ], [ "He", "Di", "" ], [ "Tan", "Xu", "" ], [ "Qin", "Tao", "" ], [ "Wang", "Liwei", "" ], [ "Liu", "Tie-Yan", "" ] ]
We study an interesting problem in training neural network-based models for natural language generation tasks, which we call the \emph{representation degeneration problem}. We observe that when training a model for natural language generation tasks through likelihood maximization with the weight tying trick, especially...
2002.11660
Nicolas Maudet
Aur\'elie Beynier and Nicolas Maudet and Simon Rey and Parham Shams
An Optimal Procedure to Check Pareto-Optimality in House Markets with Single-Peaked Preferences
Was initially part of our submission arXiv:1906.10250. We followed recommendations to make a distinct contribution with this material
null
null
null
cs.GT cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently, the problem of allocating one resource per agent with initial endowments (house markets) has seen a renewed interest: indeed, while in the domain of strict preferences the Top Trading Cycle algorithm is known to be the only procedure guaranteeing Pareto-optimality, individual rationality, and strategy proof...
[ { "created": "Fri, 14 Feb 2020 17:24:55 GMT", "version": "v1" } ]
2020-02-27
[ [ "Beynier", "Aurélie", "" ], [ "Maudet", "Nicolas", "" ], [ "Rey", "Simon", "" ], [ "Shams", "Parham", "" ] ]
Recently, the problem of allocating one resource per agent with initial endowments (house markets) has seen a renewed interest: indeed, while in the domain of strict preferences the Top Trading Cycle algorithm is known to be the only procedure guaranteeing Pareto-optimality, individual rationality, and strategy proofne...
2011.08988
Yaroslava Lochman
Yaroslava Lochman, Oles Dobosevych, Rostyslav Hryniv, James Pritts
Minimal Solvers for Single-View Lens-Distorted Camera Auto-Calibration
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper proposes minimal solvers that use combinations of imaged translational symmetries and parallel scene lines to jointly estimate lens undistortion with either affine rectification or focal length and absolute orientation. We use constraints provided by orthogonal scene planes to recover the focal length. We ...
[ { "created": "Tue, 17 Nov 2020 22:32:17 GMT", "version": "v1" } ]
2020-11-19
[ [ "Lochman", "Yaroslava", "" ], [ "Dobosevych", "Oles", "" ], [ "Hryniv", "Rostyslav", "" ], [ "Pritts", "James", "" ] ]
This paper proposes minimal solvers that use combinations of imaged translational symmetries and parallel scene lines to jointly estimate lens undistortion with either affine rectification or focal length and absolute orientation. We use constraints provided by orthogonal scene planes to recover the focal length. We sh...
1806.04042
V\'ictor Mayoral Vilches
V\'ictor Mayoral Vilches, Laura Alzola Kirschgens, Asier Bilbao Calvo, Alejandro Hern\'andez Cordero, Rodrigo Izquierdo Pis\'on, David Mayoral Vilches, Aday Mu\~niz Rosas, Gorka Olalde Mendia, Lander Usategi San Juan, Irati Zamalloa Ugarte, Endika Gil-Uriarte, Erik Tews and Andreas Peter
Introducing the Robot Security Framework (RSF), a standardized methodology to perform security assessments in robotics
Complementary code available at https://github.com/aliasrobotics/RSF
null
null
null
cs.CR cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Robots have gained relevance in society, increasingly performing critical tasks. Nonetheless, robot security is being underestimated. Robotics security is a complex landscape, which often requires a cross-disciplinar perspective to which classical security lags behind. To address this issue, we present the Robot Secu...
[ { "created": "Mon, 11 Jun 2018 15:06:30 GMT", "version": "v1" }, { "created": "Thu, 12 Sep 2019 11:23:16 GMT", "version": "v2" }, { "created": "Sat, 21 Sep 2019 06:56:53 GMT", "version": "v3" }, { "created": "Fri, 12 Nov 2021 15:53:41 GMT", "version": "v4" } ]
2021-11-16
[ [ "Vilches", "Víctor Mayoral", "" ], [ "Kirschgens", "Laura Alzola", "" ], [ "Calvo", "Asier Bilbao", "" ], [ "Cordero", "Alejandro Hernández", "" ], [ "Pisón", "Rodrigo Izquierdo", "" ], [ "Vilches", "David Mayoral", "" ]...
Robots have gained relevance in society, increasingly performing critical tasks. Nonetheless, robot security is being underestimated. Robotics security is a complex landscape, which often requires a cross-disciplinar perspective to which classical security lags behind. To address this issue, we present the Robot Securi...
1503.06959
Luca Baroffio
Luca Baroffio, Matteo Cesana, Alessandro Redondi, Marco Tagliasacchi
Fast keypoint detection in video sequences
submitted to IEEE International Conference on Image Processing 2015
null
10.1109/ICASSP.2016.7471895
null
cs.CV cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A number of computer vision tasks exploit a succinct representation of the visual content in the form of sets of local features. Given an input image, feature extraction algorithms identify a set of keypoints and assign to each of them a description vector, based on the characteristics of the visual content surroundi...
[ { "created": "Tue, 24 Mar 2015 09:28:28 GMT", "version": "v1" } ]
2016-11-18
[ [ "Baroffio", "Luca", "" ], [ "Cesana", "Matteo", "" ], [ "Redondi", "Alessandro", "" ], [ "Tagliasacchi", "Marco", "" ] ]
A number of computer vision tasks exploit a succinct representation of the visual content in the form of sets of local features. Given an input image, feature extraction algorithms identify a set of keypoints and assign to each of them a description vector, based on the characteristics of the visual content surrounding...
2102.06073
Chi Ian Tang
Chi Ian Tang, Ignacio Perez-Pozuelo, Dimitris Spathis, Soren Brage, Nick Wareham and Cecilia Mascolo
SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data
Accepted for publication in Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) 2021
null
10.1145/3448112
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Machine learning and deep learning have shown great promise in mobile sensing applications, including Human Activity Recognition. However, the performance of such models in real-world settings largely depends on the availability of large datasets that captures diverse behaviors. Recently, studies in computer vision a...
[ { "created": "Thu, 11 Feb 2021 15:40:35 GMT", "version": "v1" } ]
2021-02-12
[ [ "Tang", "Chi Ian", "" ], [ "Perez-Pozuelo", "Ignacio", "" ], [ "Spathis", "Dimitris", "" ], [ "Brage", "Soren", "" ], [ "Wareham", "Nick", "" ], [ "Mascolo", "Cecilia", "" ] ]
Machine learning and deep learning have shown great promise in mobile sensing applications, including Human Activity Recognition. However, the performance of such models in real-world settings largely depends on the availability of large datasets that captures diverse behaviors. Recently, studies in computer vision and...
2406.14266
Anna Wr\'oblewska
Anna Wr\'oblewska, Marcel Witas, Kinga Fra\'nczak, Arkadiusz Knia\'z, Siew Ann Cheong, Tan Seng Chee, Janusz Ho{\l}yst, Marcin Paprzycki
Intelligent Interface: Enhancing Lecture Engagement with Didactic Activity Summaries
9 pages, 6 figures
null
null
null
cs.AI cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently, multiple applications of machine learning have been introduced. They include various possibilities arising when image analysis methods are applied to, broadly understood, video streams. In this context, a novel tool, developed for academic educators to enhance the teaching process by automating, summarizing...
[ { "created": "Thu, 20 Jun 2024 12:45:23 GMT", "version": "v1" } ]
2024-06-21
[ [ "Wróblewska", "Anna", "" ], [ "Witas", "Marcel", "" ], [ "Frańczak", "Kinga", "" ], [ "Kniaź", "Arkadiusz", "" ], [ "Cheong", "Siew Ann", "" ], [ "Chee", "Tan Seng", "" ], [ "Hołyst", "Janusz", "" ], [ ...
Recently, multiple applications of machine learning have been introduced. They include various possibilities arising when image analysis methods are applied to, broadly understood, video streams. In this context, a novel tool, developed for academic educators to enhance the teaching process by automating, summarizing, ...
2307.02415
Martin Costa
Sayan Bhattacharya and Mart\'in Costa and Nadav Panski and Shay Solomon
Density-Sensitive Algorithms for $(\Delta + 1)$-Edge Coloring
To appear at ESA'24
null
null
null
cs.DS
http://creativecommons.org/licenses/by/4.0/
Vizing's theorem asserts the existence of a $(\Delta+1)$-edge coloring for any graph $G$, where $\Delta = \Delta(G)$ denotes the maximum degree of $G$. Several polynomial time $(\Delta+1)$-edge coloring algorithms are known, and the state-of-the-art running time (up to polylogarithmic factors) is $\tilde{O}(\min\{m \...
[ { "created": "Wed, 5 Jul 2023 16:37:32 GMT", "version": "v1" }, { "created": "Fri, 2 Aug 2024 14:03:46 GMT", "version": "v2" } ]
2024-08-05
[ [ "Bhattacharya", "Sayan", "" ], [ "Costa", "Martín", "" ], [ "Panski", "Nadav", "" ], [ "Solomon", "Shay", "" ] ]
Vizing's theorem asserts the existence of a $(\Delta+1)$-edge coloring for any graph $G$, where $\Delta = \Delta(G)$ denotes the maximum degree of $G$. Several polynomial time $(\Delta+1)$-edge coloring algorithms are known, and the state-of-the-art running time (up to polylogarithmic factors) is $\tilde{O}(\min\{m \cd...
1407.5981
Tom Crick
Tom Crick, Benjamin A. Hall and Samin Ishtiaq
"Can I Implement Your Algorithm?": A Model for Reproducible Research Software
Accepted for the 2nd Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE2); 5 pages, LaTeX
null
null
null
cs.SE cs.CE
http://creativecommons.org/licenses/by-nc-sa/3.0/
The reproduction and replication of novel results has become a major issue for a number of scientific disciplines. In computer science and related computational disciplines such as systems biology, the issues closely revolve around the ability to implement novel algorithms and approaches. Taking an approach from the ...
[ { "created": "Tue, 22 Jul 2014 19:29:34 GMT", "version": "v1" }, { "created": "Tue, 16 Sep 2014 13:35:18 GMT", "version": "v2" } ]
2014-09-17
[ [ "Crick", "Tom", "" ], [ "Hall", "Benjamin A.", "" ], [ "Ishtiaq", "Samin", "" ] ]
The reproduction and replication of novel results has become a major issue for a number of scientific disciplines. In computer science and related computational disciplines such as systems biology, the issues closely revolve around the ability to implement novel algorithms and approaches. Taking an approach from the li...
1405.2063
Bob Scurlock
Bob J. Scurlock
Use of ARAS 360 to Facilitate Rapid Development of Articulated Total Body Biomechanical Physics Simulations
null
null
null
null
cs.OH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The development of 3-dimensional environments to be used within a biomechanical physics simulation framework, such as Articulated Total Body, can be laborious and time intensive. This brief article demonstrates how the ARAS 360 software package can aid the user by speeding up development time.
[ { "created": "Thu, 17 Apr 2014 19:32:40 GMT", "version": "v1" } ]
2014-05-09
[ [ "Scurlock", "Bob J.", "" ] ]
The development of 3-dimensional environments to be used within a biomechanical physics simulation framework, such as Articulated Total Body, can be laborious and time intensive. This brief article demonstrates how the ARAS 360 software package can aid the user by speeding up development time.
1912.12861
Sofia Dokuka
Sofia Dokuka, Ivan Zaikin, Kate Furman, Maksim Tsvetovat and Alex Furman
Wisdom of collaborators: a peer-review approach to performance appraisal
null
null
null
null
cs.SI cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Individual performance and reputation within a company are major factors that influence wage distribution, promotion and firing. Due to the complexity and collaborative nature of contemporary business processes, the evaluation of individual impact in the majority of organizations is an ambiguous and non-trivial task....
[ { "created": "Mon, 30 Dec 2019 09:23:51 GMT", "version": "v1" } ]
2020-01-01
[ [ "Dokuka", "Sofia", "" ], [ "Zaikin", "Ivan", "" ], [ "Furman", "Kate", "" ], [ "Tsvetovat", "Maksim", "" ], [ "Furman", "Alex", "" ] ]
Individual performance and reputation within a company are major factors that influence wage distribution, promotion and firing. Due to the complexity and collaborative nature of contemporary business processes, the evaluation of individual impact in the majority of organizations is an ambiguous and non-trivial task. E...
2105.09696
Samuel Pagliarini
Mateus Saquetti, Raphael M. Brum, Bruno Zatt, Samuel Pagliarini, Weverton Cordeiro, Jose R. Azambuja
A Terabit Hybrid FPGA-ASIC Platform for Switch Virtualization
ISVLSI
null
null
null
cs.AR cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The roll-out of technologies like 5G and the need for multi-terabit bandwidth in backbone networks requires networking companies to make significant investments to keep up with growing service demands. For lower capital expenditure and faster time-to-market, companies can resort to anything-as-a-service providers to ...
[ { "created": "Thu, 20 May 2021 12:17:49 GMT", "version": "v1" } ]
2021-05-21
[ [ "Saquetti", "Mateus", "" ], [ "Brum", "Raphael M.", "" ], [ "Zatt", "Bruno", "" ], [ "Pagliarini", "Samuel", "" ], [ "Cordeiro", "Weverton", "" ], [ "Azambuja", "Jose R.", "" ] ]
The roll-out of technologies like 5G and the need for multi-terabit bandwidth in backbone networks requires networking companies to make significant investments to keep up with growing service demands. For lower capital expenditure and faster time-to-market, companies can resort to anything-as-a-service providers to le...
2106.14011
Jordan Masakuna F
Jordan F. Masakuna and Steve Kroon
Distributed Identification of Central Nodes with Less Communication
11 pages of work on distributed assessment of network centrality. It is being prepared and finalised to be submitted to a conference
null
null
null
cs.SI
http://creativecommons.org/licenses/by/4.0/
This paper is concerned with distributed detection of central nodes in complex networks using closeness centrality. Closeness centrality plays an essential role in network analysis. Evaluating closeness centrality exactly requires complete knowledge of the network; for large networks, this may be inefficient, so clos...
[ { "created": "Sat, 26 Jun 2021 12:19:33 GMT", "version": "v1" } ]
2021-06-29
[ [ "Masakuna", "Jordan F.", "" ], [ "Kroon", "Steve", "" ] ]
This paper is concerned with distributed detection of central nodes in complex networks using closeness centrality. Closeness centrality plays an essential role in network analysis. Evaluating closeness centrality exactly requires complete knowledge of the network; for large networks, this may be inefficient, so closen...
1911.11750
Nino Arsov
Nino Arsov, Milan Dukovski, Blagoja Evkoski, Stefan Cvetkovski
A Measure of Similarity in Textual Data Using Spearman's Rank Correlation Coefficient
null
null
null
null
cs.LG cs.CL cs.IR stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the last decade, many diverse advances have occurred in the field of information extraction from data. Information extraction in its simplest form takes place in computing environments, where structured data can be extracted through a series of queries. The continuous expansion of quantities of data have therefore...
[ { "created": "Tue, 26 Nov 2019 18:38:59 GMT", "version": "v1" } ]
2019-11-27
[ [ "Arsov", "Nino", "" ], [ "Dukovski", "Milan", "" ], [ "Evkoski", "Blagoja", "" ], [ "Cvetkovski", "Stefan", "" ] ]
In the last decade, many diverse advances have occurred in the field of information extraction from data. Information extraction in its simplest form takes place in computing environments, where structured data can be extracted through a series of queries. The continuous expansion of quantities of data have therefore p...
2203.00914
Hui Yuan
Hao Liu, Hui Yuan, Junhui Hou, Raouf Hamzaoui, Wei Gao
PUFA-GAN: A Frequency-Aware Generative Adversarial Network for 3D Point Cloud Upsampling
null
null
10.1109/TIP.2022.3222918
null
cs.CV cs.MM eess.IV
http://creativecommons.org/publicdomain/zero/1.0/
We propose a generative adversarial network for point cloud upsampling, which can not only make the upsampled points evenly distributed on the underlying surface but also efficiently generate clean high frequency regions. The generator of our network includes a dynamic graph hierarchical residual aggregation unit and...
[ { "created": "Wed, 2 Mar 2022 07:47:46 GMT", "version": "v1" } ]
2022-12-14
[ [ "Liu", "Hao", "" ], [ "Yuan", "Hui", "" ], [ "Hou", "Junhui", "" ], [ "Hamzaoui", "Raouf", "" ], [ "Gao", "Wei", "" ] ]
We propose a generative adversarial network for point cloud upsampling, which can not only make the upsampled points evenly distributed on the underlying surface but also efficiently generate clean high frequency regions. The generator of our network includes a dynamic graph hierarchical residual aggregation unit and a...
2305.03427
Nurettin Turan
Nurettin Turan, Benedikt Fesl, Wolfgang Utschick
Enhanced Low-Complexity FDD System Feedback with Variable Bit Lengths via Generative Modeling
null
null
null
null
cs.IT eess.SP math.IT
http://creativecommons.org/licenses/by/4.0/
Recently, a versatile limited feedback scheme based on a Gaussian mixture model (GMM) was proposed for frequency division duplex (FDD) systems. This scheme provides high flexibility regarding various system parameters and is applicable to both point-to-point multiple-input multiple-output (MIMO) and multi-user MIMO (...
[ { "created": "Fri, 5 May 2023 11:02:01 GMT", "version": "v1" }, { "created": "Tue, 28 Nov 2023 09:40:14 GMT", "version": "v2" } ]
2023-11-29
[ [ "Turan", "Nurettin", "" ], [ "Fesl", "Benedikt", "" ], [ "Utschick", "Wolfgang", "" ] ]
Recently, a versatile limited feedback scheme based on a Gaussian mixture model (GMM) was proposed for frequency division duplex (FDD) systems. This scheme provides high flexibility regarding various system parameters and is applicable to both point-to-point multiple-input multiple-output (MIMO) and multi-user MIMO (MU...
1703.02899
Andreas Doerr
Andreas Doerr, Duy Nguyen-Tuong, Alonso Marco, Stefan Schaal, Sebastian Trimpe
Model-Based Policy Search for Automatic Tuning of Multivariate PID Controllers
Accepted final version to appear in 2017 IEEE International Conference on Robotics and Automation (ICRA)
null
null
null
cs.LG cs.RO cs.SY stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
PID control architectures are widely used in industrial applications. Despite their low number of open parameters, tuning multiple, coupled PID controllers can become tedious in practice. In this paper, we extend PILCO, a model-based policy search framework, to automatically tune multivariate PID controllers purely b...
[ { "created": "Wed, 8 Mar 2017 16:28:17 GMT", "version": "v1" } ]
2017-03-09
[ [ "Doerr", "Andreas", "" ], [ "Nguyen-Tuong", "Duy", "" ], [ "Marco", "Alonso", "" ], [ "Schaal", "Stefan", "" ], [ "Trimpe", "Sebastian", "" ] ]
PID control architectures are widely used in industrial applications. Despite their low number of open parameters, tuning multiple, coupled PID controllers can become tedious in practice. In this paper, we extend PILCO, a model-based policy search framework, to automatically tune multivariate PID controllers purely bas...
2403.04605
Diego Mesquita
Erik Nascimento, Diego Mesquita, Samuel Kaski, Amauri H Souza
In-n-Out: Calibrating Graph Neural Networks for Link Prediction
18 pages, 4 figures, 8 tables
null
null
null
cs.LG
http://creativecommons.org/licenses/by-sa/4.0/
Deep neural networks are notoriously miscalibrated, i.e., their outputs do not reflect the true probability of the event we aim to predict. While networks for tabular or image data are usually overconfident, recent works have shown that graph neural networks (GNNs) show the opposite behavior for node-level classifica...
[ { "created": "Thu, 7 Mar 2024 15:54:46 GMT", "version": "v1" }, { "created": "Fri, 8 Mar 2024 14:49:34 GMT", "version": "v2" } ]
2024-03-11
[ [ "Nascimento", "Erik", "" ], [ "Mesquita", "Diego", "" ], [ "Kaski", "Samuel", "" ], [ "Souza", "Amauri H", "" ] ]
Deep neural networks are notoriously miscalibrated, i.e., their outputs do not reflect the true probability of the event we aim to predict. While networks for tabular or image data are usually overconfident, recent works have shown that graph neural networks (GNNs) show the opposite behavior for node-level classificati...
2208.00301
Chen Chen
Yichen Han, Christopher Bo Han, Chen Chen, Peng Wei Lee, Michael Hogarth, Alison A. Moore, Nadir Weibel, Emilia Farcas
Towards Visualization of Time-Series Ecological Momentary Assessment (EMA) Data on Standalone Voice-First Virtual Assistants
4 pages, The 24th International ACM SIGACCESS Conference on Computers and Accessibility
null
10.1145/3517428.3550398
null
cs.HC cs.CY
http://creativecommons.org/licenses/by/4.0/
Population aging is an increasingly important consideration for health care in the 21th century, and continuing to have access and interact with digital health information is a key challenge for aging populations. Voice-based Intelligent Virtual Assistants (IVAs) are promising to improve the Quality of Life (QoL) of ...
[ { "created": "Sat, 30 Jul 2022 20:03:15 GMT", "version": "v1" } ]
2022-08-02
[ [ "Han", "Yichen", "" ], [ "Han", "Christopher Bo", "" ], [ "Chen", "Chen", "" ], [ "Lee", "Peng Wei", "" ], [ "Hogarth", "Michael", "" ], [ "Moore", "Alison A.", "" ], [ "Weibel", "Nadir", "" ], [ "F...
Population aging is an increasingly important consideration for health care in the 21th century, and continuing to have access and interact with digital health information is a key challenge for aging populations. Voice-based Intelligent Virtual Assistants (IVAs) are promising to improve the Quality of Life (QoL) of ol...
1909.13162
Aneek Barman Roy
Aneek Barman Roy
Translation, Sentiment and Voices: A Computational Model to Translate and Analyse Voices from Real-Time Video Calling
79 Pages, 19 Tables, 24 Figures, A M.Sc Dissertation
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With internet quickly becoming an easy access to many, voice calling over internet is slowly gaining momentum. Individuals has been engaging in video communication across the world in different languages. The decade saw the emergence of language translation using neural networks as well. With more data being generate...
[ { "created": "Sat, 28 Sep 2019 22:11:03 GMT", "version": "v1" } ]
2019-10-01
[ [ "Roy", "Aneek Barman", "" ] ]
With internet quickly becoming an easy access to many, voice calling over internet is slowly gaining momentum. Individuals has been engaging in video communication across the world in different languages. The decade saw the emergence of language translation using neural networks as well. With more data being generated ...
2205.04665
Tian-Sheuan Chang
Yu-Hsiang Chiang, Tian-Sheuan Chang and Shyh Jye Jou
A 14uJ/Decision Keyword Spotting Accelerator with In-SRAM-Computing and On Chip Learning for Customization
10 pages, 18 figures, to be published in IEEE Transaction on VLSI, 2022
null
10.1109/TVLSI.2022.3172685
null
cs.AR cs.LG eess.AS
http://creativecommons.org/licenses/by/4.0/
Keyword spotting has gained popularity as a natural way to interact with consumer devices in recent years. However, because of its always-on nature and the variety of speech, it necessitates a low-power design as well as user customization. This paper describes a low-power, energy-efficient keyword spotting accelerat...
[ { "created": "Tue, 10 May 2022 04:42:20 GMT", "version": "v1" } ]
2022-06-10
[ [ "Chiang", "Yu-Hsiang", "" ], [ "Chang", "Tian-Sheuan", "" ], [ "Jou", "Shyh Jye", "" ] ]
Keyword spotting has gained popularity as a natural way to interact with consumer devices in recent years. However, because of its always-on nature and the variety of speech, it necessitates a low-power design as well as user customization. This paper describes a low-power, energy-efficient keyword spotting accelerator...
2002.11383
Tai Do Duc
Tai Do Duc, Shuo Shao, Chaoping Xing
Symmetric uncoded caching schemes with low subpacketization levels
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Caching is a commonly used technique in content-delivery networks which aims to deliver information from hosting servers to users in the most efficient way. In 2014, Maddah-Ali and Niessen formulated caching into a formal information theoretic problem and it has gained a lot of attention since then. It is known that ...
[ { "created": "Wed, 26 Feb 2020 09:55:38 GMT", "version": "v1" } ]
2020-02-27
[ [ "Duc", "Tai Do", "" ], [ "Shao", "Shuo", "" ], [ "Xing", "Chaoping", "" ] ]
Caching is a commonly used technique in content-delivery networks which aims to deliver information from hosting servers to users in the most efficient way. In 2014, Maddah-Ali and Niessen formulated caching into a formal information theoretic problem and it has gained a lot of attention since then. It is known that th...
2005.10783
Leighton Barnes
Leighton Pate Barnes, Wei-Ning Chen, and Ayfer Ozgur
Fisher information under local differential privacy
null
null
null
null
cs.IT math.IT math.ST stat.ML stat.TH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We develop data processing inequalities that describe how Fisher information from statistical samples can scale with the privacy parameter $\varepsilon$ under local differential privacy constraints. These bounds are valid under general conditions on the distribution of the score of the statistical model, and they elu...
[ { "created": "Thu, 21 May 2020 17:05:09 GMT", "version": "v1" } ]
2020-05-22
[ [ "Barnes", "Leighton Pate", "" ], [ "Chen", "Wei-Ning", "" ], [ "Ozgur", "Ayfer", "" ] ]
We develop data processing inequalities that describe how Fisher information from statistical samples can scale with the privacy parameter $\varepsilon$ under local differential privacy constraints. These bounds are valid under general conditions on the distribution of the score of the statistical model, and they eluci...
cs/0407031
Pavel Naumov
Pavel Naumov
On Modal Logics of Partial Recursive Functions
null
null
null
null
cs.LO
null
The classical propositional logic is known to be sound and complete with respect to the set semantics that interprets connectives as set operations. The paper extends propositional language by a new binary modality that corresponds to partial recursive function type constructor under the above interpretation. The cas...
[ { "created": "Mon, 12 Jul 2004 22:53:33 GMT", "version": "v1" } ]
2007-05-23
[ [ "Naumov", "Pavel", "" ] ]
The classical propositional logic is known to be sound and complete with respect to the set semantics that interprets connectives as set operations. The paper extends propositional language by a new binary modality that corresponds to partial recursive function type constructor under the above interpretation. The cases...
2105.02501
Fan Bai
Fan Bai, Jiaxiang Wu, Pengcheng Shen, Shaoxin Li and Shuigeng Zhou
Federated Face Recognition
null
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Face recognition has been extensively studied in computer vision and artificial intelligence communities in recent years. An important issue of face recognition is data privacy, which receives more and more public concerns. As a common privacy-preserving technique, Federated Learning is proposed to train a model coop...
[ { "created": "Thu, 6 May 2021 08:07:25 GMT", "version": "v1" } ]
2021-05-07
[ [ "Bai", "Fan", "" ], [ "Wu", "Jiaxiang", "" ], [ "Shen", "Pengcheng", "" ], [ "Li", "Shaoxin", "" ], [ "Zhou", "Shuigeng", "" ] ]
Face recognition has been extensively studied in computer vision and artificial intelligence communities in recent years. An important issue of face recognition is data privacy, which receives more and more public concerns. As a common privacy-preserving technique, Federated Learning is proposed to train a model cooper...
1904.11137
Imil Hamda Imran
Imil Hamda Imran, Zhiyong Chen, Lijun Zhu, and Minyue Fu
A Distributed Adaptive Scheme for Multi-Agent Systems
null
null
null
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In traditional adaptive control, the certainty equivalence principle suggests a two-step design scheme. A controller is first designed for the ideal situation assuming the uncertain parameter was known and it renders a Lyapunov function. Then, the uncertain parameter in the controller is replaced by its estimation th...
[ { "created": "Thu, 25 Apr 2019 03:18:59 GMT", "version": "v1" } ]
2019-04-26
[ [ "Imran", "Imil Hamda", "" ], [ "Chen", "Zhiyong", "" ], [ "Zhu", "Lijun", "" ], [ "Fu", "Minyue", "" ] ]
In traditional adaptive control, the certainty equivalence principle suggests a two-step design scheme. A controller is first designed for the ideal situation assuming the uncertain parameter was known and it renders a Lyapunov function. Then, the uncertain parameter in the controller is replaced by its estimation that...
2210.06110
Moritz Einfalt
Moritz Einfalt, Katja Ludwig, Rainer Lienhart
Uplift and Upsample: Efficient 3D Human Pose Estimation with Uplifting Transformers
Accepted at IEEE/CVF WACV 2023
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The state-of-the-art for monocular 3D human pose estimation in videos is dominated by the paradigm of 2D-to-3D pose uplifting. While the uplifting methods themselves are rather efficient, the true computational complexity depends on the per-frame 2D pose estimation. In this paper, we present a Transformer-based pose ...
[ { "created": "Wed, 12 Oct 2022 12:00:56 GMT", "version": "v1" }, { "created": "Fri, 14 Oct 2022 09:23:56 GMT", "version": "v2" }, { "created": "Fri, 21 Oct 2022 10:09:40 GMT", "version": "v3" } ]
2022-10-24
[ [ "Einfalt", "Moritz", "" ], [ "Ludwig", "Katja", "" ], [ "Lienhart", "Rainer", "" ] ]
The state-of-the-art for monocular 3D human pose estimation in videos is dominated by the paradigm of 2D-to-3D pose uplifting. While the uplifting methods themselves are rather efficient, the true computational complexity depends on the per-frame 2D pose estimation. In this paper, we present a Transformer-based pose up...
2302.07324
Chenglei Si
Chenglei Si, Zhengyan Zhang, Yingfa Chen, Xiaozhi Wang, Zhiyuan Liu, Maosong Sun
READIN: A Chinese Multi-Task Benchmark with Realistic and Diverse Input Noises
ACL 2023
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
For many real-world applications, the user-generated inputs usually contain various noises due to speech recognition errors caused by linguistic variations1 or typographical errors (typos). Thus, it is crucial to test model performance on data with realistic input noises to ensure robustness and fairness. However, li...
[ { "created": "Tue, 14 Feb 2023 20:14:39 GMT", "version": "v1" }, { "created": "Thu, 25 May 2023 01:04:08 GMT", "version": "v2" } ]
2023-05-26
[ [ "Si", "Chenglei", "" ], [ "Zhang", "Zhengyan", "" ], [ "Chen", "Yingfa", "" ], [ "Wang", "Xiaozhi", "" ], [ "Liu", "Zhiyuan", "" ], [ "Sun", "Maosong", "" ] ]
For many real-world applications, the user-generated inputs usually contain various noises due to speech recognition errors caused by linguistic variations1 or typographical errors (typos). Thus, it is crucial to test model performance on data with realistic input noises to ensure robustness and fairness. However, litt...
1912.05047
Yi Ren
Namwoo Kang, Yi Ren, Fred Feinberg, and Panos Papalambros
Form + Function: Optimizing Aesthetic Product Design via Adaptive, Geometrized Preference Elicitation
submitted to Marketing Science
null
null
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Visual design is critical to product success, and the subject of intensive marketing research effort. Yet visual elements, due to their holistic and interactive nature, do not lend themselves well to optimization using extant decompositional methods for preference elicitation. Here we present a systematic methodology...
[ { "created": "Tue, 10 Dec 2019 23:36:49 GMT", "version": "v1" } ]
2019-12-12
[ [ "Kang", "Namwoo", "" ], [ "Ren", "Yi", "" ], [ "Feinberg", "Fred", "" ], [ "Papalambros", "Panos", "" ] ]
Visual design is critical to product success, and the subject of intensive marketing research effort. Yet visual elements, due to their holistic and interactive nature, do not lend themselves well to optimization using extant decompositional methods for preference elicitation. Here we present a systematic methodology t...
2305.18183
Gowtham Reddy Abbavaram
Abbavaram Gowtham Reddy, Saketh Bachu, Saloni Dash, Charchit Sharma, Amit Sharma, Vineeth N Balasubramanian
On Counterfactual Data Augmentation Under Confounding
null
null
null
null
cs.LG cs.CV stat.ML
http://creativecommons.org/licenses/by/4.0/
Counterfactual data augmentation has recently emerged as a method to mitigate confounding biases in the training data. These biases, such as spurious correlations, arise due to various observed and unobserved confounding variables in the data generation process. In this paper, we formally analyze how confounding bias...
[ { "created": "Mon, 29 May 2023 16:20:23 GMT", "version": "v1" }, { "created": "Tue, 21 Nov 2023 09:11:38 GMT", "version": "v2" } ]
2023-11-22
[ [ "Reddy", "Abbavaram Gowtham", "" ], [ "Bachu", "Saketh", "" ], [ "Dash", "Saloni", "" ], [ "Sharma", "Charchit", "" ], [ "Sharma", "Amit", "" ], [ "Balasubramanian", "Vineeth N", "" ] ]
Counterfactual data augmentation has recently emerged as a method to mitigate confounding biases in the training data. These biases, such as spurious correlations, arise due to various observed and unobserved confounding variables in the data generation process. In this paper, we formally analyze how confounding biases...
2301.01676
Prerona Chatterjee
Prerona Chatterjee, Pavel Hrube\v{s}
New Lower Bounds against Homogeneous Non-Commutative Circuits
null
null
null
null
cs.CC
http://creativecommons.org/licenses/by-nc-sa/4.0/
We give several new lower bounds on size of homogeneous non-commutative circuits. We present an explicit homogeneous bivariate polynomial of degree $d$ which requires homogeneous non-commutative circuit of size $\Omega(d/\log d)$. For an $n$-variate polynomial with $n>1$, the result can be improved to $\Omega(nd)$, i...
[ { "created": "Wed, 4 Jan 2023 16:00:56 GMT", "version": "v1" } ]
2023-01-05
[ [ "Chatterjee", "Prerona", "" ], [ "Hrubeš", "Pavel", "" ] ]
We give several new lower bounds on size of homogeneous non-commutative circuits. We present an explicit homogeneous bivariate polynomial of degree $d$ which requires homogeneous non-commutative circuit of size $\Omega(d/\log d)$. For an $n$-variate polynomial with $n>1$, the result can be improved to $\Omega(nd)$, if ...
2404.11401
Xianqiang Lyu
Xianqiang Lyu and Hui Liu and Junhui Hou
RainyScape: Unsupervised Rainy Scene Reconstruction using Decoupled Neural Rendering
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose RainyScape, an unsupervised framework for reconstructing clean scenes from a collection of multi-view rainy images. RainyScape consists of two main modules: a neural rendering module and a rain-prediction module that incorporates a predictor network and a learnable latent embedding that captures the rain c...
[ { "created": "Wed, 17 Apr 2024 14:07:22 GMT", "version": "v1" } ]
2024-04-18
[ [ "Lyu", "Xianqiang", "" ], [ "Liu", "Hui", "" ], [ "Hou", "Junhui", "" ] ]
We propose RainyScape, an unsupervised framework for reconstructing clean scenes from a collection of multi-view rainy images. RainyScape consists of two main modules: a neural rendering module and a rain-prediction module that incorporates a predictor network and a learnable latent embedding that captures the rain cha...
1710.06323
Anna-Lena Horlemann-Trautmann
Heide Gluesing-Luerssen and Anna-Lena Horlemann-Trautmann
Symbol Erasure Correction Capability of Spread Codes
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider data transmission over a network where each edge is an erasure channel and where the inner nodes transmit a random linear combination of their incoming information. We distinguish two channel models in this setting, the row and the column erasure channel model. For both models we derive the symbol erasure...
[ { "created": "Tue, 17 Oct 2017 14:52:06 GMT", "version": "v1" } ]
2017-10-18
[ [ "Gluesing-Luerssen", "Heide", "" ], [ "Horlemann-Trautmann", "Anna-Lena", "" ] ]
We consider data transmission over a network where each edge is an erasure channel and where the inner nodes transmit a random linear combination of their incoming information. We distinguish two channel models in this setting, the row and the column erasure channel model. For both models we derive the symbol erasure c...
2305.15091
Wadii Boulila Prof.
Zouhayra Ayadi, Wadii Boulila, Imed Riadh Farah
Modeling Complex Object Changes in Satellite Image Time-Series: Approach based on CSP and Spatiotemporal Graph
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
This paper proposes a method for automatically monitoring and analyzing the evolution of complex geographic objects. The objects are modeled as a spatiotemporal graph, which separates filiation relations, spatial relations, and spatiotemporal relations, and is analyzed by detecting frequent sub-graphs using constrain...
[ { "created": "Wed, 24 May 2023 12:15:19 GMT", "version": "v1" } ]
2023-05-25
[ [ "Ayadi", "Zouhayra", "" ], [ "Boulila", "Wadii", "" ], [ "Farah", "Imed Riadh", "" ] ]
This paper proposes a method for automatically monitoring and analyzing the evolution of complex geographic objects. The objects are modeled as a spatiotemporal graph, which separates filiation relations, spatial relations, and spatiotemporal relations, and is analyzed by detecting frequent sub-graphs using constraint ...
2401.17835
Tankred Saanum
Tankred Saanum, Peter Dayan, Eric Schulz
Predicting the Future with Simple World Models
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
World models can represent potentially high-dimensional pixel observations in compact latent spaces, making it tractable to model the dynamics of the environment. However, the latent dynamics inferred by these models may still be highly complex. Abstracting the dynamics of the environment with simple models can have ...
[ { "created": "Wed, 31 Jan 2024 13:52:11 GMT", "version": "v1" } ]
2024-02-01
[ [ "Saanum", "Tankred", "" ], [ "Dayan", "Peter", "" ], [ "Schulz", "Eric", "" ] ]
World models can represent potentially high-dimensional pixel observations in compact latent spaces, making it tractable to model the dynamics of the environment. However, the latent dynamics inferred by these models may still be highly complex. Abstracting the dynamics of the environment with simple models can have se...
2007.06677
Elizabeth Polgreen
Nicolas Chan, Elizabeth Polgreen and Sanjit A. Seshia
Gradient Descent over Metagrammars for Syntax-Guided Synthesis
5 pages, SYNT 2020
null
null
null
cs.SE cs.AI cs.LG cs.PL
http://creativecommons.org/licenses/by/4.0/
The performance of a syntax-guided synthesis algorithm is highly dependent on the provision of a good syntactic template, or grammar. Provision of such a template is often left to the user to do manually, though in the absence of such a grammar, state-of-the-art solvers will provide their own default grammar, which i...
[ { "created": "Mon, 13 Jul 2020 20:37:35 GMT", "version": "v1" }, { "created": "Thu, 16 Jul 2020 18:31:10 GMT", "version": "v2" } ]
2020-07-20
[ [ "Chan", "Nicolas", "" ], [ "Polgreen", "Elizabeth", "" ], [ "Seshia", "Sanjit A.", "" ] ]
The performance of a syntax-guided synthesis algorithm is highly dependent on the provision of a good syntactic template, or grammar. Provision of such a template is often left to the user to do manually, though in the absence of such a grammar, state-of-the-art solvers will provide their own default grammar, which is ...
1607.02537
Heng Fan
Heng Fan, Xue Mei, Danil Prokhorov and Haibin Ling
Multi-level Contextual RNNs with Attention Model for Scene Labeling
8 pages, 8 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Context in image is crucial for scene labeling while existing methods only exploit local context generated from a small surrounding area of an image patch or a pixel, by contrast long-range and global contextual information is ignored. To handle this issue, we in this work propose a novel approach for scene labeling ...
[ { "created": "Fri, 8 Jul 2016 21:51:53 GMT", "version": "v1" }, { "created": "Wed, 10 Aug 2016 21:15:51 GMT", "version": "v2" } ]
2016-08-12
[ [ "Fan", "Heng", "" ], [ "Mei", "Xue", "" ], [ "Prokhorov", "Danil", "" ], [ "Ling", "Haibin", "" ] ]
Context in image is crucial for scene labeling while existing methods only exploit local context generated from a small surrounding area of an image patch or a pixel, by contrast long-range and global contextual information is ignored. To handle this issue, we in this work propose a novel approach for scene labeling by...
2406.18383
Santiago Figueira
Ver\'onica Becher, Olivier Carton and Santiago Figueira
Rauzy dimension and finite-state dimension
null
null
null
null
cs.IT cs.FL math.IT
http://creativecommons.org/licenses/by/4.0/
In a paper of 1976, Rauzy studied two complexity notions, $\underline{\beta}$ and $\overline{\beta}$, for infinite sequences over a finite alphabet. The function $\underline{\beta}$ is maximum exactly in the Borel normal sequences and $\overline{\beta}$ is minimum exactly in the sequences that, when added to any Bore...
[ { "created": "Wed, 26 Jun 2024 14:24:58 GMT", "version": "v1" } ]
2024-06-27
[ [ "Becher", "Verónica", "" ], [ "Carton", "Olivier", "" ], [ "Figueira", "Santiago", "" ] ]
In a paper of 1976, Rauzy studied two complexity notions, $\underline{\beta}$ and $\overline{\beta}$, for infinite sequences over a finite alphabet. The function $\underline{\beta}$ is maximum exactly in the Borel normal sequences and $\overline{\beta}$ is minimum exactly in the sequences that, when added to any Borel ...
2106.11426
Zichang Liu
Zichang Liu, Benjamin Coleman, Anshumali Shrivastava
Efficient Inference via Universal LSH Kernel
null
null
null
null
cs.LG cs.AI cs.DS
http://creativecommons.org/licenses/by-nc-nd/4.0/
Large machine learning models achieve unprecedented performance on various tasks and have evolved as the go-to technique. However, deploying these compute and memory hungry models on resource constraint environments poses new challenges. In this work, we propose mathematically provable Representer Sketch, a concise s...
[ { "created": "Mon, 21 Jun 2021 22:06:32 GMT", "version": "v1" } ]
2021-06-23
[ [ "Liu", "Zichang", "" ], [ "Coleman", "Benjamin", "" ], [ "Shrivastava", "Anshumali", "" ] ]
Large machine learning models achieve unprecedented performance on various tasks and have evolved as the go-to technique. However, deploying these compute and memory hungry models on resource constraint environments poses new challenges. In this work, we propose mathematically provable Representer Sketch, a concise set...
1201.0564
Toby Walsh
Ronald de Haan, Nina Narodytska, Toby Walsh
The RegularGcc Matrix Constraint
Submitted to CPAIOR 2012
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study propagation of the RegularGcc global constraint. This ensures that each row of a matrix of decision variables satisfies a Regular constraint, and each column satisfies a Gcc constraint. On the negative side, we prove that propagation is NP-hard even under some strong restrictions (e.g. just 3 values, just 4 ...
[ { "created": "Tue, 3 Jan 2012 03:30:18 GMT", "version": "v1" } ]
2016-11-26
[ [ "de Haan", "Ronald", "" ], [ "Narodytska", "Nina", "" ], [ "Walsh", "Toby", "" ] ]
We study propagation of the RegularGcc global constraint. This ensures that each row of a matrix of decision variables satisfies a Regular constraint, and each column satisfies a Gcc constraint. On the negative side, we prove that propagation is NP-hard even under some strong restrictions (e.g. just 3 values, just 4 st...
2106.01048
Conor F. Hayes
Conor F. Hayes, Timothy Verstraeten, Diederik M. Roijers, Enda Howley, Patrick Mannion
Expected Scalarised Returns Dominance: A New Solution Concept for Multi-Objective Decision Making
null
null
10.1007/s00521-022-07334-x
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
In many real-world scenarios, the utility of a user is derived from the single execution of a policy. In this case, to apply multi-objective reinforcement learning, the expected utility of the returns must be optimised. Various scenarios exist where a user's preferences over objectives (also known as the utility func...
[ { "created": "Wed, 2 Jun 2021 09:42:42 GMT", "version": "v1" }, { "created": "Thu, 23 Sep 2021 16:46:44 GMT", "version": "v2" }, { "created": "Fri, 1 Jul 2022 13:24:54 GMT", "version": "v3" } ]
2022-07-06
[ [ "Hayes", "Conor F.", "" ], [ "Verstraeten", "Timothy", "" ], [ "Roijers", "Diederik M.", "" ], [ "Howley", "Enda", "" ], [ "Mannion", "Patrick", "" ] ]
In many real-world scenarios, the utility of a user is derived from the single execution of a policy. In this case, to apply multi-objective reinforcement learning, the expected utility of the returns must be optimised. Various scenarios exist where a user's preferences over objectives (also known as the utility functi...
2408.01215
Juyoung Yun
Juyoung Yun, Hoyoung Kim, Suin Cho, Hangil Kang
ZNorm: Z-Score Gradient Normalization for Accelerating Neural Network Training
null
null
null
null
cs.LG
http://creativecommons.org/publicdomain/zero/1.0/
The rapid advancements in deep learning necessitate efficient training methods for deep neural networks (DNNs). As models grow in complexity, vanishing and exploding gradients impede convergence and performance. We propose Z-Score Normalization for Gradient Descent (ZNorm), an innovative technique that adjusts only t...
[ { "created": "Fri, 2 Aug 2024 12:04:19 GMT", "version": "v1" } ]
2024-08-05
[ [ "Yun", "Juyoung", "" ], [ "Kim", "Hoyoung", "" ], [ "Cho", "Suin", "" ], [ "Kang", "Hangil", "" ] ]
The rapid advancements in deep learning necessitate efficient training methods for deep neural networks (DNNs). As models grow in complexity, vanishing and exploding gradients impede convergence and performance. We propose Z-Score Normalization for Gradient Descent (ZNorm), an innovative technique that adjusts only the...
1811.02189
Weijie Kong
Weijie Kong, Nannan Li, Shan Liu, Thomas Li, Ge Li
BLP -- Boundary Likelihood Pinpointing Networks for Accurate Temporal Action Localization
Accepted to International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Despite tremendous progress achieved in temporal action detection, state-of-the-art methods still suffer from the sharp performance deterioration when localizing the starting and ending temporal action boundaries. Although most methods apply boundary regression paradigm to tackle this problem, we argue that the direc...
[ { "created": "Tue, 6 Nov 2018 06:54:58 GMT", "version": "v1" }, { "created": "Wed, 7 Nov 2018 08:25:27 GMT", "version": "v2" }, { "created": "Mon, 12 Nov 2018 03:33:40 GMT", "version": "v3" }, { "created": "Sat, 9 Feb 2019 14:28:03 GMT", "version": "v4" }, { "crea...
2019-12-17
[ [ "Kong", "Weijie", "" ], [ "Li", "Nannan", "" ], [ "Liu", "Shan", "" ], [ "Li", "Thomas", "" ], [ "Li", "Ge", "" ] ]
Despite tremendous progress achieved in temporal action detection, state-of-the-art methods still suffer from the sharp performance deterioration when localizing the starting and ending temporal action boundaries. Although most methods apply boundary regression paradigm to tackle this problem, we argue that the direct ...
2108.01064
Anjum Anjum
Anushka Gupta, Diksha Chugh, Anjum, Rahul Katarya
Automated News Summarization Using Transformers
10 pages
Sustainable Advanced Computing - Select Proceedings of ICSAC 2021
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
The amount of text data available online is increasing at a very fast pace hence text summarization has become essential. Most of the modern recommender and text classification systems require going through a huge amount of data. Manually generating precise and fluent summaries of lengthy articles is a very tiresome ...
[ { "created": "Fri, 23 Apr 2021 04:22:33 GMT", "version": "v1" } ]
2021-08-03
[ [ "Gupta", "Anushka", "" ], [ "Chugh", "Diksha", "" ], [ "Anjum", "", "" ], [ "Katarya", "Rahul", "" ] ]
The amount of text data available online is increasing at a very fast pace hence text summarization has become essential. Most of the modern recommender and text classification systems require going through a huge amount of data. Manually generating precise and fluent summaries of lengthy articles is a very tiresome an...
2406.19309
Mathias Vast
Mathias Vast, Basile Van Cooten, Laure Soulier and Benjamin Piwowarski
Which Neurons Matter in IR? Applying Integrated Gradients-based Methods to Understand Cross-Encoders
Accepted at ICTIR 2024
null
10.1145/3664190.3672528
null
cs.IR
http://creativecommons.org/licenses/by/4.0/
With the recent addition of Retrieval-Augmented Generation (RAG), the scope and importance of Information Retrieval (IR) has expanded. As a result, the importance of a deeper understanding of IR models also increases. However, interpretability in IR remains under-explored, especially when it comes to the models' inne...
[ { "created": "Thu, 27 Jun 2024 16:33:40 GMT", "version": "v1" }, { "created": "Fri, 5 Jul 2024 15:48:55 GMT", "version": "v2" } ]
2024-07-08
[ [ "Vast", "Mathias", "" ], [ "Van Cooten", "Basile", "" ], [ "Soulier", "Laure", "" ], [ "Piwowarski", "Benjamin", "" ] ]
With the recent addition of Retrieval-Augmented Generation (RAG), the scope and importance of Information Retrieval (IR) has expanded. As a result, the importance of a deeper understanding of IR models also increases. However, interpretability in IR remains under-explored, especially when it comes to the models' inner ...
2405.05508
Mingzhu Wang
Mingzhu Wang, Yuzhe Zhang, Qihang Zhao, Juanyi Yang, Hong Zhang
Redefining Information Retrieval of Structured Database via Large Language Models
null
null
null
null
cs.IR cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Retrieval augmentation is critical when Language Models (LMs) exploit non-parametric knowledge related to the query through external knowledge bases before reasoning. The retrieved information is incorporated into LMs as context alongside the query, enhancing the reliability of responses towards factual questions. Pr...
[ { "created": "Thu, 9 May 2024 02:37:53 GMT", "version": "v1" } ]
2024-05-10
[ [ "Wang", "Mingzhu", "" ], [ "Zhang", "Yuzhe", "" ], [ "Zhao", "Qihang", "" ], [ "Yang", "Juanyi", "" ], [ "Zhang", "Hong", "" ] ]
Retrieval augmentation is critical when Language Models (LMs) exploit non-parametric knowledge related to the query through external knowledge bases before reasoning. The retrieved information is incorporated into LMs as context alongside the query, enhancing the reliability of responses towards factual questions. Prio...
2211.00713
Saurabh Deshpande Mr.
Saurabh Deshpande, St\'ephane P.A. Bordas, Jakub Lengiewicz
MAgNET: A Graph U-Net Architecture for Mesh-Based Simulations
null
Engineering Applications of Artificial Intelligence, Volume 133, Part B, 2024, 108055
10.1016/j.engappai.2024.108055
null
cs.LG cs.CE
http://creativecommons.org/licenses/by/4.0/
In many cutting-edge applications, high-fidelity computational models prove to be too slow for practical use and are therefore replaced by much faster surrogate models. Recently, deep learning techniques have increasingly been utilized to accelerate such predictions. To enable learning on large-dimensional and comple...
[ { "created": "Tue, 1 Nov 2022 19:23:45 GMT", "version": "v1" }, { "created": "Thu, 30 Mar 2023 13:56:35 GMT", "version": "v2" }, { "created": "Tue, 2 Apr 2024 14:22:26 GMT", "version": "v3" } ]
2024-04-03
[ [ "Deshpande", "Saurabh", "" ], [ "Bordas", "Stéphane P. A.", "" ], [ "Lengiewicz", "Jakub", "" ] ]
In many cutting-edge applications, high-fidelity computational models prove to be too slow for practical use and are therefore replaced by much faster surrogate models. Recently, deep learning techniques have increasingly been utilized to accelerate such predictions. To enable learning on large-dimensional and complex ...
2211.11238
Sijie Wang
Sijie Wang, Qiyu Kang, Rui She, Wee Peng Tay, Andreas Hartmannsgruber, Diego Navarro Navarro
RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments
Accepted by AAAI 2023
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Camera relocalization has various applications in autonomous driving. Previous camera pose regression models consider only ideal scenarios where there is little environmental perturbation. To deal with challenging driving environments that may have changing seasons, weather, illumination, and the presence of unstable...
[ { "created": "Mon, 21 Nov 2022 08:02:39 GMT", "version": "v1" }, { "created": "Wed, 23 Nov 2022 10:32:09 GMT", "version": "v2" }, { "created": "Mon, 3 Apr 2023 12:36:50 GMT", "version": "v3" }, { "created": "Thu, 25 May 2023 12:17:09 GMT", "version": "v4" } ]
2023-05-26
[ [ "Wang", "Sijie", "" ], [ "Kang", "Qiyu", "" ], [ "She", "Rui", "" ], [ "Tay", "Wee Peng", "" ], [ "Hartmannsgruber", "Andreas", "" ], [ "Navarro", "Diego Navarro", "" ] ]
Camera relocalization has various applications in autonomous driving. Previous camera pose regression models consider only ideal scenarios where there is little environmental perturbation. To deal with challenging driving environments that may have changing seasons, weather, illumination, and the presence of unstable o...
2003.08580
Nikita Samarin
Nikita Samarin, Alisa Frik, Sean Brooks, Coye Cheshire, Serge Egelman
Surveying Vulnerable Populations: A Case Study of Civil Society Organizations
[v2] Appears in the Workshop on Inclusive Privacy and Security (WIPS) co-located with Symposium on Usable Privacy and Security (SOUPS) 2020; [v1] Appears in the Networked Privacy Workshop co-located with ACM Conference on Human Factors in Computing Systems (CHI) 2020
null
null
null
cs.CY cs.CR cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Compared to organizations in other sectors, civil society organizations (CSOs) are particularly vulnerable to security and privacy threats, as they lack adequate resources and expertise to defend themselves. At the same time, their security needs and practices have not gained much attention among researchers, and exi...
[ { "created": "Thu, 19 Mar 2020 05:30:21 GMT", "version": "v1" }, { "created": "Mon, 13 Jul 2020 21:01:40 GMT", "version": "v2" } ]
2020-07-15
[ [ "Samarin", "Nikita", "" ], [ "Frik", "Alisa", "" ], [ "Brooks", "Sean", "" ], [ "Cheshire", "Coye", "" ], [ "Egelman", "Serge", "" ] ]
Compared to organizations in other sectors, civil society organizations (CSOs) are particularly vulnerable to security and privacy threats, as they lack adequate resources and expertise to defend themselves. At the same time, their security needs and practices have not gained much attention among researchers, and exist...
2208.06868
Jaime C\'espedes Sisniega
Jaime C\'espedes-Sisniega and \'Alvaro L\'opez-Garc\'ia
Frouros: A Python library for drift detection in machine learning systems
11 pages, 1 table
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Frouros is an open-source Python library capable of detecting drift in machine learning systems. It provides a combination of classical and more recent algorithms for drift detection: both concept and data drift. We have designed it with the objective of making it compatible with any machine learning framework and ea...
[ { "created": "Sun, 14 Aug 2022 15:25:41 GMT", "version": "v1" }, { "created": "Thu, 22 Jun 2023 10:50:56 GMT", "version": "v2" }, { "created": "Tue, 18 Jul 2023 09:00:57 GMT", "version": "v3" }, { "created": "Sun, 23 Jul 2023 10:36:55 GMT", "version": "v4" } ]
2023-07-25
[ [ "Céspedes-Sisniega", "Jaime", "" ], [ "López-García", "Álvaro", "" ] ]
Frouros is an open-source Python library capable of detecting drift in machine learning systems. It provides a combination of classical and more recent algorithms for drift detection: both concept and data drift. We have designed it with the objective of making it compatible with any machine learning framework and easi...
2008.10546
Lingkai Kong
Lingkai Kong, Jimeng Sun and Chao Zhang
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates
ICML2020. Code is available through https://github.com/Lingkai-Kong/SDE-Net
null
null
null
cs.LG cs.AI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Uncertainty quantification is a fundamental yet unsolved problem for deep learning. The Bayesian framework provides a principled way of uncertainty estimation but is often not scalable to modern deep neural nets (DNNs) that have a large number of parameters. Non-Bayesian methods are simple to implement but often conf...
[ { "created": "Mon, 24 Aug 2020 16:33:54 GMT", "version": "v1" } ]
2020-08-25
[ [ "Kong", "Lingkai", "" ], [ "Sun", "Jimeng", "" ], [ "Zhang", "Chao", "" ] ]
Uncertainty quantification is a fundamental yet unsolved problem for deep learning. The Bayesian framework provides a principled way of uncertainty estimation but is often not scalable to modern deep neural nets (DNNs) that have a large number of parameters. Non-Bayesian methods are simple to implement but often confla...
2209.09401
Zichun Yu
Zichun Yu, Tianyu Gao, Zhengyan Zhang, Yankai Lin, Zhiyuan Liu, Maosong Sun and Jie Zhou
Automatic Label Sequence Generation for Prompting Sequence-to-sequence Models
Accepted to COLING 2022
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Prompting, which casts downstream applications as language modeling tasks, has shown to be sample efficient compared to standard fine-tuning with pre-trained models. However, one pitfall of prompting is the need of manually-designed patterns, whose outcome can be unintuitive and requires large validation sets to tune...
[ { "created": "Tue, 20 Sep 2022 01:35:04 GMT", "version": "v1" } ]
2022-09-21
[ [ "Yu", "Zichun", "" ], [ "Gao", "Tianyu", "" ], [ "Zhang", "Zhengyan", "" ], [ "Lin", "Yankai", "" ], [ "Liu", "Zhiyuan", "" ], [ "Sun", "Maosong", "" ], [ "Zhou", "Jie", "" ] ]
Prompting, which casts downstream applications as language modeling tasks, has shown to be sample efficient compared to standard fine-tuning with pre-trained models. However, one pitfall of prompting is the need of manually-designed patterns, whose outcome can be unintuitive and requires large validation sets to tune. ...
1508.05545
Christian Weilbach
Christian Weilbach, Konrad K\"uhne, Annette Bieniusa
Decoupling conflicts for configurable resolution in an open replication system
6 pages, 5 figures
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Replikativ is a replication middleware supporting a new kind of confluent replicated datatype resembling a distributed version control system. It retains the order of write operations at the trade-off of reduced availability with after-the- fact conflict resolution. The system allows to develop applications with dist...
[ { "created": "Sat, 22 Aug 2015 20:19:53 GMT", "version": "v1" }, { "created": "Thu, 14 Jan 2016 08:40:06 GMT", "version": "v2" } ]
2016-01-15
[ [ "Weilbach", "Christian", "" ], [ "Kühne", "Konrad", "" ], [ "Bieniusa", "Annette", "" ] ]
Replikativ is a replication middleware supporting a new kind of confluent replicated datatype resembling a distributed version control system. It retains the order of write operations at the trade-off of reduced availability with after-the- fact conflict resolution. The system allows to develop applications with distri...
1903.03920
Pooyan Jamshidi
Pooyan Jamshidi, Javier C\'amara, Bradley Schmerl, Christian K\"astner, David Garlan
Machine Learning Meets Quantitative Planning: Enabling Self-Adaptation in Autonomous Robots
14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2019 )
null
null
null
cs.AI cs.RO
http://creativecommons.org/licenses/by/4.0/
Modern cyber-physical systems (e.g., robotics systems) are typically composed of physical and software components, the characteristics of which are likely to change over time. Assumptions about parts of the system made at design time may not hold at run time, especially when a system is deployed for long periods (e.g...
[ { "created": "Sun, 10 Mar 2019 04:24:49 GMT", "version": "v1" } ]
2019-03-12
[ [ "Jamshidi", "Pooyan", "" ], [ "Cámara", "Javier", "" ], [ "Schmerl", "Bradley", "" ], [ "Kästner", "Christian", "" ], [ "Garlan", "David", "" ] ]
Modern cyber-physical systems (e.g., robotics systems) are typically composed of physical and software components, the characteristics of which are likely to change over time. Assumptions about parts of the system made at design time may not hold at run time, especially when a system is deployed for long periods (e.g.,...
2106.03050
Jiafei Lyu
Jiafei Lyu, Xiaoteng Ma, Jiangpeng Yan, Xiu Li
Efficient Continuous Control with Double Actors and Regularized Critics
21 pages
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
How to obtain good value estimation is one of the key problems in Reinforcement Learning (RL). Current value estimation methods, such as DDPG and TD3, suffer from unnecessary over- or underestimation bias. In this paper, we explore the potential of double actors, which has been neglected for a long time, for better v...
[ { "created": "Sun, 6 Jun 2021 07:04:48 GMT", "version": "v1" } ]
2021-06-08
[ [ "Lyu", "Jiafei", "" ], [ "Ma", "Xiaoteng", "" ], [ "Yan", "Jiangpeng", "" ], [ "Li", "Xiu", "" ] ]
How to obtain good value estimation is one of the key problems in Reinforcement Learning (RL). Current value estimation methods, such as DDPG and TD3, suffer from unnecessary over- or underestimation bias. In this paper, we explore the potential of double actors, which has been neglected for a long time, for better val...
2310.15705
Hitesh Gudwani
Hitesh Gudwani
Learning-based Scheduling for Information Accuracy and Freshness in Wireless Networks
21 pages, 5 figures
null
null
null
cs.AI cs.NI
http://creativecommons.org/licenses/by/4.0/
We consider a system of multiple sources, a single communication channel, and a single monitoring station. Each source measures a time-varying quantity with varying levels of accuracy and one of them sends its update to the monitoring station via the channel. The probability of success of each attempted communication...
[ { "created": "Tue, 24 Oct 2023 10:31:34 GMT", "version": "v1" } ]
2023-10-25
[ [ "Gudwani", "Hitesh", "" ] ]
We consider a system of multiple sources, a single communication channel, and a single monitoring station. Each source measures a time-varying quantity with varying levels of accuracy and one of them sends its update to the monitoring station via the channel. The probability of success of each attempted communication i...
2407.15912
Jingru Yu
Jingru Yu, Yi Yu, Xuhong Wang, Yilun Lin, Manzhi Yang, Yu Qiao, Fei-Yue Wang
The Shadow of Fraud: The Emerging Danger of AI-powered Social Engineering and its Possible Cure
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Social engineering (SE) attacks remain a significant threat to both individuals and organizations. The advancement of Artificial Intelligence (AI), including diffusion models and large language models (LLMs), has potentially intensified these threats by enabling more personalized and convincing attacks. This survey p...
[ { "created": "Mon, 22 Jul 2024 17:37:31 GMT", "version": "v1" } ]
2024-07-24
[ [ "Yu", "Jingru", "" ], [ "Yu", "Yi", "" ], [ "Wang", "Xuhong", "" ], [ "Lin", "Yilun", "" ], [ "Yang", "Manzhi", "" ], [ "Qiao", "Yu", "" ], [ "Wang", "Fei-Yue", "" ] ]
Social engineering (SE) attacks remain a significant threat to both individuals and organizations. The advancement of Artificial Intelligence (AI), including diffusion models and large language models (LLMs), has potentially intensified these threats by enabling more personalized and convincing attacks. This survey pap...
1807.10564
Bryan Eikema
Bryan Eikema and Wilker Aziz
Auto-Encoding Variational Neural Machine Translation
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a deep generative model of bilingual sentence pairs for machine translation. The model generates source and target sentences jointly from a shared latent representation and is parameterised by neural networks. We perform efficient training using amortised variational inference and reparameterised gradients...
[ { "created": "Fri, 27 Jul 2018 13:03:06 GMT", "version": "v1" }, { "created": "Wed, 1 Aug 2018 07:50:23 GMT", "version": "v2" }, { "created": "Wed, 29 May 2019 09:20:21 GMT", "version": "v3" }, { "created": "Fri, 31 May 2019 14:00:00 GMT", "version": "v4" } ]
2019-06-03
[ [ "Eikema", "Bryan", "" ], [ "Aziz", "Wilker", "" ] ]
We present a deep generative model of bilingual sentence pairs for machine translation. The model generates source and target sentences jointly from a shared latent representation and is parameterised by neural networks. We perform efficient training using amortised variational inference and reparameterised gradients. ...
2010.04476
Dominik Helm
Dominik Helm, Florian K\"ubler, Michael Reif, Michael Eichberg, Mira Mezini
Modular Collaborative Program Analysis in OPAL
Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Nov 2020
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Current approaches combining multiple static analyses deriving different, independent properties focus either on modularity or performance. Whereas declarative approaches facilitate modularity and automated, analysis-independent optimizations, imperative approaches foster manual, analysis-specific optimizations. In...
[ { "created": "Fri, 9 Oct 2020 09:57:53 GMT", "version": "v1" } ]
2020-10-12
[ [ "Helm", "Dominik", "" ], [ "Kübler", "Florian", "" ], [ "Reif", "Michael", "" ], [ "Eichberg", "Michael", "" ], [ "Mezini", "Mira", "" ] ]
Current approaches combining multiple static analyses deriving different, independent properties focus either on modularity or performance. Whereas declarative approaches facilitate modularity and automated, analysis-independent optimizations, imperative approaches foster manual, analysis-specific optimizations. In thi...
2407.06797
Fotios Lygerakis
Fotios Lygerakis, Elmar Rueckert
ED-VAE: Entropy Decomposition of ELBO in Variational Autoencoders
null
null
null
null
cs.LG cs.AI stat.ML
http://creativecommons.org/licenses/by/4.0/
Traditional Variational Autoencoders (VAEs) are constrained by the limitations of the Evidence Lower Bound (ELBO) formulation, particularly when utilizing simplistic, non-analytic, or unknown prior distributions. These limitations inhibit the VAE's ability to generate high-quality samples and provide clear, interpret...
[ { "created": "Tue, 9 Jul 2024 12:09:21 GMT", "version": "v1" } ]
2024-07-10
[ [ "Lygerakis", "Fotios", "" ], [ "Rueckert", "Elmar", "" ] ]
Traditional Variational Autoencoders (VAEs) are constrained by the limitations of the Evidence Lower Bound (ELBO) formulation, particularly when utilizing simplistic, non-analytic, or unknown prior distributions. These limitations inhibit the VAE's ability to generate high-quality samples and provide clear, interpretab...
2204.09992
Chen Tang
Chen Tang, Haoyu Zhai, Kai Ouyang, Zhi Wang, Yifei Zhu, Wenwu Zhu
Arbitrary Bit-width Network: A Joint Layer-Wise Quantization and Adaptive Inference Approach
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Conventional model quantization methods use a fixed quantization scheme to different data samples, which ignores the inherent "recognition difficulty" differences between various samples. We propose to feed different data samples with varying quantization schemes to achieve a data-dependent dynamic inference, at a fi...
[ { "created": "Thu, 21 Apr 2022 09:36:43 GMT", "version": "v1" } ]
2022-04-22
[ [ "Tang", "Chen", "" ], [ "Zhai", "Haoyu", "" ], [ "Ouyang", "Kai", "" ], [ "Wang", "Zhi", "" ], [ "Zhu", "Yifei", "" ], [ "Zhu", "Wenwu", "" ] ]
Conventional model quantization methods use a fixed quantization scheme to different data samples, which ignores the inherent "recognition difficulty" differences between various samples. We propose to feed different data samples with varying quantization schemes to achieve a data-dependent dynamic inference, at a fine...
2209.12602
D\'avid Sztah\'o
D\'avid Sztah\'o and Attila Fejes
Effects of language mismatch in automatic forensic voice comparison using deep learning embeddings
null
null
10.1111/1556-4029.15250
null
cs.SD cs.CL eess.AS
http://creativecommons.org/licenses/by-nc-nd/4.0/
In forensic voice comparison the speaker embedding has become widely popular in the last 10 years. Most of the pretrained speaker embeddings are trained on English corpora, because it is easily accessible. Thus, language dependency can be an important factor in automatic forensic voice comparison, especially when the...
[ { "created": "Mon, 26 Sep 2022 11:49:37 GMT", "version": "v1" } ]
2023-04-12
[ [ "Sztahó", "Dávid", "" ], [ "Fejes", "Attila", "" ] ]
In forensic voice comparison the speaker embedding has become widely popular in the last 10 years. Most of the pretrained speaker embeddings are trained on English corpora, because it is easily accessible. Thus, language dependency can be an important factor in automatic forensic voice comparison, especially when the t...
1503.04913
EPTCS
Nils J\"ahnig (TU Berlin), Thomas G\"othel (TU Berlin), Sabine Glesner (TU Berlin)
A Denotational Semantics for Communicating Unstructured Code
In Proceedings FESCA 2015, arXiv:1503.04378
EPTCS 178, 2015, pp. 9-21
10.4204/EPTCS.178.2
null
cs.PL cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
An important property of programming language semantics is that they should be compositional. However, unstructured low-level code contains goto-like commands making it hard to define a semantics that is compositional. In this paper, we follow the ideas of Saabas and Uustalu to structure low-level code. This gives us...
[ { "created": "Tue, 17 Mar 2015 03:59:45 GMT", "version": "v1" } ]
2015-03-18
[ [ "Jähnig", "Nils", "", "TU Berlin" ], [ "Göthel", "Thomas", "", "TU Berlin" ], [ "Glesner", "Sabine", "", "TU Berlin" ] ]
An important property of programming language semantics is that they should be compositional. However, unstructured low-level code contains goto-like commands making it hard to define a semantics that is compositional. In this paper, we follow the ideas of Saabas and Uustalu to structure low-level code. This gives us t...
2304.10190
Souneil Park
Souneil Park, Pavol Mulinka, Diego Perino
A Large-scale Examination of "Socioeconomic" Fairness in Mobile Networks
null
null
10.1145/3530190.3534809
null
cs.CY
http://creativecommons.org/licenses/by/4.0/
Internet access is a special resource of which needs has become universal across the public whereas the service is operated in the private sector. Mobile Network Operators (MNOs) put efforts for management, planning, and optimization; however, they do not link such activities to socioeconomic fairness. In this paper,...
[ { "created": "Thu, 20 Apr 2023 10:03:51 GMT", "version": "v1" } ]
2023-04-21
[ [ "Park", "Souneil", "" ], [ "Mulinka", "Pavol", "" ], [ "Perino", "Diego", "" ] ]
Internet access is a special resource of which needs has become universal across the public whereas the service is operated in the private sector. Mobile Network Operators (MNOs) put efforts for management, planning, and optimization; however, they do not link such activities to socioeconomic fairness. In this paper, w...
1805.07830
Shayegan Omidshafiei
Shayegan Omidshafiei, Dong-Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Christopher Amato, Murray Campbell, Jonathan P. How
Learning to Teach in Cooperative Multiagent Reinforcement Learning
null
null
null
null
cs.MA cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Collective human knowledge has clearly benefited from the fact that innovations by individuals are taught to others through communication. Similar to human social groups, agents in distributed learning systems would likely benefit from communication to share knowledge and teach skills. The problem of teaching to impr...
[ { "created": "Sun, 20 May 2018 22:23:46 GMT", "version": "v1" }, { "created": "Tue, 22 May 2018 14:10:38 GMT", "version": "v2" }, { "created": "Tue, 26 Jun 2018 16:21:50 GMT", "version": "v3" }, { "created": "Fri, 31 Aug 2018 18:36:15 GMT", "version": "v4" } ]
2018-09-05
[ [ "Omidshafiei", "Shayegan", "" ], [ "Kim", "Dong-Ki", "" ], [ "Liu", "Miao", "" ], [ "Tesauro", "Gerald", "" ], [ "Riemer", "Matthew", "" ], [ "Amato", "Christopher", "" ], [ "Campbell", "Murray", "" ], ...
Collective human knowledge has clearly benefited from the fact that innovations by individuals are taught to others through communication. Similar to human social groups, agents in distributed learning systems would likely benefit from communication to share knowledge and teach skills. The problem of teaching to improv...
1405.7711
David L. Chen
David L. Chen, Joohyun Kim, Raymond J. Mooney
Training a Multilingual Sportscaster: Using Perceptual Context to Learn Language
null
Journal Of Artificial Intelligence Research, Volume 37, pages 397-435, 2010
10.1613/jair.2962
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a novel framework for learning to interpret and generate language using only perceptual context as supervision. We demonstrate its capabilities by developing a system that learns to sportscast simulated robot soccer games in both English and Korean without any language-specific prior knowledge. Training em...
[ { "created": "Thu, 16 Jan 2014 04:29:26 GMT", "version": "v1" } ]
2014-06-02
[ [ "Chen", "David L.", "" ], [ "Kim", "Joohyun", "" ], [ "Mooney", "Raymond J.", "" ] ]
We present a novel framework for learning to interpret and generate language using only perceptual context as supervision. We demonstrate its capabilities by developing a system that learns to sportscast simulated robot soccer games in both English and Korean without any language-specific prior knowledge. Training empl...
2005.03709
Takato Otsuzuki
Takato Otsuzuki, Hideaki Hayashi, Yuchen Zheng and Seiichi Uchida
Regularized Pooling
12 pages, 10 figures, accepted for ICANN 2020
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In convolutional neural networks (CNNs), pooling operations play important roles such as dimensionality reduction and deformation compensation. In general, max pooling, which is the most widely used operation for local pooling, is performed independently for each kernel. However, the deformation may be spatially smoo...
[ { "created": "Wed, 6 May 2020 09:02:17 GMT", "version": "v1" }, { "created": "Thu, 6 Aug 2020 07:10:34 GMT", "version": "v2" } ]
2020-08-07
[ [ "Otsuzuki", "Takato", "" ], [ "Hayashi", "Hideaki", "" ], [ "Zheng", "Yuchen", "" ], [ "Uchida", "Seiichi", "" ] ]
In convolutional neural networks (CNNs), pooling operations play important roles such as dimensionality reduction and deformation compensation. In general, max pooling, which is the most widely used operation for local pooling, is performed independently for each kernel. However, the deformation may be spatially smooth...
2312.13633
Haifeng Huang
Haifeng Huang, Yang Zhao, Zehan Wang, Yan Xia, Zhou Zhao
Multi-Modal Domain Adaptation Across Video Scenes for Temporal Video Grounding
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Temporal Video Grounding (TVG) aims to localize the temporal boundary of a specific segment in an untrimmed video based on a given language query. Since datasets in this domain are often gathered from limited video scenes, models tend to overfit to scene-specific factors, which leads to suboptimal performance when en...
[ { "created": "Thu, 21 Dec 2023 07:49:27 GMT", "version": "v1" } ]
2023-12-22
[ [ "Huang", "Haifeng", "" ], [ "Zhao", "Yang", "" ], [ "Wang", "Zehan", "" ], [ "Xia", "Yan", "" ], [ "Zhao", "Zhou", "" ] ]
Temporal Video Grounding (TVG) aims to localize the temporal boundary of a specific segment in an untrimmed video based on a given language query. Since datasets in this domain are often gathered from limited video scenes, models tend to overfit to scene-specific factors, which leads to suboptimal performance when enco...
2106.03270
Shang-Wen Li
Hongyin Luo, Shuyan Dong, Yung-Sung Chuang, Shang-Wen Li
Meta-learning for downstream aware and agnostic pretraining
Extended abstract
Meta Learning and Its Applications to Natural Language Processing workshop at ACL 2021
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
Neural network pretraining is gaining attention due to its outstanding performance in natural language processing applications. However, pretraining usually leverages predefined task sequences to learn general linguistic clues. The lack of mechanisms in choosing proper tasks during pretraining makes the learning and ...
[ { "created": "Sun, 6 Jun 2021 23:08:09 GMT", "version": "v1" } ]
2021-06-08
[ [ "Luo", "Hongyin", "" ], [ "Dong", "Shuyan", "" ], [ "Chuang", "Yung-Sung", "" ], [ "Li", "Shang-Wen", "" ] ]
Neural network pretraining is gaining attention due to its outstanding performance in natural language processing applications. However, pretraining usually leverages predefined task sequences to learn general linguistic clues. The lack of mechanisms in choosing proper tasks during pretraining makes the learning and kn...
1912.01795
Fanchao Qi
Fanchao Qi, Liang Chang, Maosong Sun, Sicong Ouyang, Zhiyuan Liu
Towards Building a Multilingual Sememe Knowledge Base: Predicting Sememes for BabelNet Synsets
Accepted by AAAI Conference on Artificial Intelligence 2020 for oral presentation
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A sememe is defined as the minimum semantic unit of human languages. Sememe knowledge bases (KBs), which contain words annotated with sememes, have been successfully applied to many NLP tasks. However, existing sememe KBs are built on only a few languages, which hinders their widespread utilization. To address the is...
[ { "created": "Wed, 4 Dec 2019 04:39:32 GMT", "version": "v1" } ]
2019-12-05
[ [ "Qi", "Fanchao", "" ], [ "Chang", "Liang", "" ], [ "Sun", "Maosong", "" ], [ "Ouyang", "Sicong", "" ], [ "Liu", "Zhiyuan", "" ] ]
A sememe is defined as the minimum semantic unit of human languages. Sememe knowledge bases (KBs), which contain words annotated with sememes, have been successfully applied to many NLP tasks. However, existing sememe KBs are built on only a few languages, which hinders their widespread utilization. To address the issu...
2112.06539
Kamil \.Zywanowski
Kamil \.Zywanowski, Adam Banaszczyk, Micha{\l} R. Nowicki, and Jacek Komorowski
MinkLoc3D-SI: 3D LiDAR place recognition with sparse convolutions, spherical coordinates, and intensity
null
null
10.1109/LRA.2021.3136863
null
cs.RO cs.CV
http://creativecommons.org/licenses/by-sa/4.0/
The 3D LiDAR place recognition aims to estimate a coarse localization in a previously seen environment based on a single scan from a rotating 3D LiDAR sensor. The existing solutions to this problem include hand-crafted point cloud descriptors (e.g., ScanContext, M2DP, LiDAR IRIS) and deep learning-based solutions (e....
[ { "created": "Mon, 13 Dec 2021 10:21:34 GMT", "version": "v1" }, { "created": "Mon, 27 Dec 2021 10:38:06 GMT", "version": "v2" } ]
2021-12-28
[ [ "Żywanowski", "Kamil", "" ], [ "Banaszczyk", "Adam", "" ], [ "Nowicki", "Michał R.", "" ], [ "Komorowski", "Jacek", "" ] ]
The 3D LiDAR place recognition aims to estimate a coarse localization in a previously seen environment based on a single scan from a rotating 3D LiDAR sensor. The existing solutions to this problem include hand-crafted point cloud descriptors (e.g., ScanContext, M2DP, LiDAR IRIS) and deep learning-based solutions (e.g....
1502.07786
John Clements
John Clements
Generating 56-bit passwords using Markov Models (and Charles Dickens)
5 pages, 2 figures
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We describe a password generation scheme based on Markov models built from English text (specifically, Charles Dickens' *A Tale Of Two Cities*). We show a (linear-running-time) bijection between random bitstrings of any desired length and generated text, ensuring that all passwords are generated with equal probabilit...
[ { "created": "Thu, 26 Feb 2015 23:14:49 GMT", "version": "v1" } ]
2015-03-02
[ [ "Clements", "John", "" ] ]
We describe a password generation scheme based on Markov models built from English text (specifically, Charles Dickens' *A Tale Of Two Cities*). We show a (linear-running-time) bijection between random bitstrings of any desired length and generated text, ensuring that all passwords are generated with equal probability....
2311.12735
Aunabil Chakma
Aunabil Chakma and Masum Hasan
LowResource at BLP-2023 Task 2: Leveraging BanglaBert for Low Resource Sentiment Analysis of Bangla Language
Accepted at BLP Workshop @EMNLP2023
null
null
75
cs.CL
http://creativecommons.org/licenses/by-nc-sa/4.0/
This paper describes the system of the LowResource Team for Task 2 of BLP-2023, which involves conducting sentiment analysis on a dataset composed of public posts and comments from diverse social media platforms. Our primary aim is to utilize BanglaBert, a BERT model pre-trained on a large Bangla corpus, using variou...
[ { "created": "Tue, 21 Nov 2023 17:21:15 GMT", "version": "v1" } ]
2023-11-22
[ [ "Chakma", "Aunabil", "" ], [ "Hasan", "Masum", "" ] ]
This paper describes the system of the LowResource Team for Task 2 of BLP-2023, which involves conducting sentiment analysis on a dataset composed of public posts and comments from diverse social media platforms. Our primary aim is to utilize BanglaBert, a BERT model pre-trained on a large Bangla corpus, using various ...
2404.03995
Justus Bogner
Apoorva Nalini Pradeep Kumar, Justus Bogner, Markus Funke, Patricia Lago
Balancing Progress and Responsibility: A Synthesis of Sustainability Trade-Offs of AI-Based Systems
Accepted for publication at the 8th International Workshop on Green and Sustainable Software (GREENS'24), collocated with ICSA'24
null
null
null
cs.SE cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent advances in artificial intelligence (AI) capabilities have increased the eagerness of companies to integrate AI into software systems. While AI can be used to have a positive impact on several dimensions of sustainability, this is often overshadowed by its potential negative influence. While many studies have ...
[ { "created": "Fri, 5 Apr 2024 10:11:08 GMT", "version": "v1" } ]
2024-04-08
[ [ "Kumar", "Apoorva Nalini Pradeep", "" ], [ "Bogner", "Justus", "" ], [ "Funke", "Markus", "" ], [ "Lago", "Patricia", "" ] ]
Recent advances in artificial intelligence (AI) capabilities have increased the eagerness of companies to integrate AI into software systems. While AI can be used to have a positive impact on several dimensions of sustainability, this is often overshadowed by its potential negative influence. While many studies have ex...
2212.10397
Lining Zhang
Lining Zhang, Simon Mille, Yufang Hou, Daniel Deutsch, Elizabeth Clark, Yixin Liu, Saad Mahamood, Sebastian Gehrmann, Miruna Clinciu, Khyathi Chandu, Jo\~ao Sedoc
Needle in a Haystack: An Analysis of High-Agreement Workers on MTurk for Summarization
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
To prevent the costly and inefficient use of resources on low-quality annotations, we want a method for creating a pool of dependable annotators who can effectively complete difficult tasks, such as evaluating automatic summarization. Thus, we investigate the recruitment of high-quality Amazon Mechanical Turk workers...
[ { "created": "Tue, 20 Dec 2022 16:25:42 GMT", "version": "v1" }, { "created": "Wed, 28 Dec 2022 22:16:45 GMT", "version": "v2" }, { "created": "Wed, 14 Jun 2023 01:45:33 GMT", "version": "v3" } ]
2023-06-16
[ [ "Zhang", "Lining", "" ], [ "Mille", "Simon", "" ], [ "Hou", "Yufang", "" ], [ "Deutsch", "Daniel", "" ], [ "Clark", "Elizabeth", "" ], [ "Liu", "Yixin", "" ], [ "Mahamood", "Saad", "" ], [ "Gehrmann...
To prevent the costly and inefficient use of resources on low-quality annotations, we want a method for creating a pool of dependable annotators who can effectively complete difficult tasks, such as evaluating automatic summarization. Thus, we investigate the recruitment of high-quality Amazon Mechanical Turk workers v...
1809.00742
Vincent Vajnovszki
Phan Thuan Do, Thi Thu Huong Tran, Vincent Vajnovszki
Exhaustive generation for permutations avoiding a (colored) regular sets of patterns
null
null
null
null
cs.DM math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Despite the fact that the field of pattern avoiding permutations has been skyrocketing over the last two decades, there are very few exhaustive generating algorithms for such classes of permutations. In this paper we introduce the notions of regular and colored regular set of forbidden patterns, which are particular ...
[ { "created": "Mon, 3 Sep 2018 23:18:15 GMT", "version": "v1" }, { "created": "Sat, 15 Sep 2018 08:32:49 GMT", "version": "v2" } ]
2018-09-18
[ [ "Do", "Phan Thuan", "" ], [ "Tran", "Thi Thu Huong", "" ], [ "Vajnovszki", "Vincent", "" ] ]
Despite the fact that the field of pattern avoiding permutations has been skyrocketing over the last two decades, there are very few exhaustive generating algorithms for such classes of permutations. In this paper we introduce the notions of regular and colored regular set of forbidden patterns, which are particular ca...
1312.1819
Yannis Moysoglou
Stavros G. Kolliopoulos and Yannis Moysoglou
Exponential lower bounds on the size of approximate formulations in the natural encoding for Capacitated Facility Location
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The metric capacitated facility location is a well-studied problem for which, while constant factor approximations are known, no efficient relaxation with constant integrality gap is known. The question whether there is such a relaxation is among the most important open problems of approximation algorithms \cite{Shmo...
[ { "created": "Fri, 6 Dec 2013 10:06:20 GMT", "version": "v1" } ]
2013-12-09
[ [ "Kolliopoulos", "Stavros G.", "" ], [ "Moysoglou", "Yannis", "" ] ]
The metric capacitated facility location is a well-studied problem for which, while constant factor approximations are known, no efficient relaxation with constant integrality gap is known. The question whether there is such a relaxation is among the most important open problems of approximation algorithms \cite{Shmoys...
2009.10365
Diego Alvarez-Estevez
Diego Alvarez-Estevez and Roselyne M. Rijsman
Inter-database validation of a deep learning approach for automatic sleep scoring
Original submission manuscript, 19 pages, 1 figure, 6 tables
PLoS ONE (2021) 16(8): e0256111
10.1371/journal.pone.0256111
null
cs.LG cs.PF eess.SP stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work we describe a new deep learning approach for automatic sleep staging, and carry out its validation by addressing its generalization capabilities on a wide range of sleep staging databases. Prediction capabilities are evaluated in the context of independent local and external generalization scenarios. Eff...
[ { "created": "Tue, 22 Sep 2020 07:46:43 GMT", "version": "v1" } ]
2021-08-18
[ [ "Alvarez-Estevez", "Diego", "" ], [ "Rijsman", "Roselyne M.", "" ] ]
In this work we describe a new deep learning approach for automatic sleep staging, and carry out its validation by addressing its generalization capabilities on a wide range of sleep staging databases. Prediction capabilities are evaluated in the context of independent local and external generalization scenarios. Effec...
1201.2334
Jiantao Jiao
Jiantao Jiao, Haim H. Permuter, Lei Zhao, Young-Han Kim and Tsachy Weissman
Universal Estimation of Directed Information
23 pages, 10 figures, to appear in IEEE Transactions on Information Theory
null
10.1109/TIT.2013.2267934
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Four estimators of the directed information rate between a pair of jointly stationary ergodic finite-alphabet processes are proposed, based on universal probability assignments. The first one is a Shannon--McMillan--Breiman type estimator, similar to those used by Verd\'u (2005) and Cai, Kulkarni, and Verd\'u (2006) ...
[ { "created": "Wed, 11 Jan 2012 15:49:51 GMT", "version": "v1" }, { "created": "Sun, 21 Oct 2012 04:32:14 GMT", "version": "v2" }, { "created": "Fri, 17 May 2013 04:41:19 GMT", "version": "v3" }, { "created": "Thu, 30 May 2013 22:25:14 GMT", "version": "v4" } ]
2016-11-15
[ [ "Jiao", "Jiantao", "" ], [ "Permuter", "Haim H.", "" ], [ "Zhao", "Lei", "" ], [ "Kim", "Young-Han", "" ], [ "Weissman", "Tsachy", "" ] ]
Four estimators of the directed information rate between a pair of jointly stationary ergodic finite-alphabet processes are proposed, based on universal probability assignments. The first one is a Shannon--McMillan--Breiman type estimator, similar to those used by Verd\'u (2005) and Cai, Kulkarni, and Verd\'u (2006) fo...
2006.05624
Utkarsh Nath
Utkarsh Nath, Shrinu Kushagra, Yingzhen Yang
Adjoined Networks: A Training Paradigm with Applications to Network Compression
Published at AAAI 2022 Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence Code available at: https://github.com/utkarshnath/Adjoint-Network.git
null
null
null
cs.LG cs.NE stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Compressing deep neural networks while maintaining accuracy is important when we want to deploy large, powerful models in production and/or edge devices. One common technique used to achieve this goal is knowledge distillation. Typically, the output of a static pre-defined teacher (a large base network) is used as so...
[ { "created": "Wed, 10 Jun 2020 02:48:16 GMT", "version": "v1" }, { "created": "Wed, 7 Oct 2020 02:04:58 GMT", "version": "v2" }, { "created": "Sat, 10 Oct 2020 00:23:48 GMT", "version": "v3" }, { "created": "Wed, 6 Oct 2021 04:35:23 GMT", "version": "v4" }, { "cre...
2022-04-18
[ [ "Nath", "Utkarsh", "" ], [ "Kushagra", "Shrinu", "" ], [ "Yang", "Yingzhen", "" ] ]
Compressing deep neural networks while maintaining accuracy is important when we want to deploy large, powerful models in production and/or edge devices. One common technique used to achieve this goal is knowledge distillation. Typically, the output of a static pre-defined teacher (a large base network) is used as soft...