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0812.1012
Kamesh Munagala
Sudipto Guha and Kamesh Munagala
Adaptive Uncertainty Resolution in Bayesian Combinatorial Optimization Problems
Journal version of the paper "Model-driven Optimization using Adaptive Probes" that appeared in the ACM-SIAM Symposium on Discrete Algorithms (SODA), 2007
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In several applications such as databases, planning, and sensor networks, parameters such as selectivity, load, or sensed values are known only with some associated uncertainty. The performance of such a system (as captured by some objective function over the parameters) is significantly improved if some of these par...
[ { "created": "Thu, 4 Dec 2008 19:48:16 GMT", "version": "v1" }, { "created": "Mon, 14 Sep 2009 14:17:22 GMT", "version": "v2" }, { "created": "Thu, 28 Jan 2010 15:08:30 GMT", "version": "v3" } ]
2010-01-28
[ [ "Guha", "Sudipto", "" ], [ "Munagala", "Kamesh", "" ] ]
In several applications such as databases, planning, and sensor networks, parameters such as selectivity, load, or sensed values are known only with some associated uncertainty. The performance of such a system (as captured by some objective function over the parameters) is significantly improved if some of these param...
1302.1334
Yuriy Parzhin
Yuri Parzhin
Principles of modal and vector theory of formal intelligence systems
34 pages, 8 figures
null
null
null
cs.AI
http://creativecommons.org/licenses/by/3.0/
The paper considers the class of information systems capable of solving heuristic problems on basis of formal theory that was termed modal and vector theory of formal intelligent systems (FIS). The paper justifies the construction of FIS resolution algorithm, defines the main features of these systems and proves theo...
[ { "created": "Wed, 6 Feb 2013 12:16:33 GMT", "version": "v1" } ]
2013-02-07
[ [ "Parzhin", "Yuri", "" ] ]
The paper considers the class of information systems capable of solving heuristic problems on basis of formal theory that was termed modal and vector theory of formal intelligent systems (FIS). The paper justifies the construction of FIS resolution algorithm, defines the main features of these systems and proves theore...
2407.17478
Clara Ziche
Clara Ziche and Giovanni Apruzzese
LLM4PM: A case study on using Large Language Models for Process Modeling in Enterprise Organizations
10 pages, 6 figures
null
null
null
cs.HC cs.AI cs.CL cs.CY cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
We investigate the potential of using Large Language Models (LLM) to support process model creation in organizational contexts. Specifically, we carry out a case study wherein we develop and test an LLM-based chatbot, PRODIGY (PROcess moDellIng Guidance for You), in a multinational company, the Hilti Group. We are pa...
[ { "created": "Mon, 1 Jul 2024 19:57:36 GMT", "version": "v1" } ]
2024-07-26
[ [ "Ziche", "Clara", "" ], [ "Apruzzese", "Giovanni", "" ] ]
We investigate the potential of using Large Language Models (LLM) to support process model creation in organizational contexts. Specifically, we carry out a case study wherein we develop and test an LLM-based chatbot, PRODIGY (PROcess moDellIng Guidance for You), in a multinational company, the Hilti Group. We are part...
2212.12964
Steffen Becker
Franziska Herbert and Steffen Becker and Annalina Buckmann and Marvin Kowalewski and Jonas Hielscher and Yasemin Acar and Markus D\"urmuth and Yixin Zou and M. Angela Sasse
Digital Security -- A Question of Perspective. A Large-Scale Telephone Survey with Four At-Risk User Groups
null
null
10.1109/SP54263.2024.00027
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper investigates the digital security experiences of four at-risk user groups in Germany, including older adults (70+), teenagers (14-17), people with migration backgrounds, and people with low formal education. Using computer-assisted telephone interviews, we sampled 250 participants per group, representative...
[ { "created": "Sun, 25 Dec 2022 22:11:57 GMT", "version": "v1" }, { "created": "Tue, 12 Sep 2023 20:25:38 GMT", "version": "v2" } ]
2024-02-29
[ [ "Herbert", "Franziska", "" ], [ "Becker", "Steffen", "" ], [ "Buckmann", "Annalina", "" ], [ "Kowalewski", "Marvin", "" ], [ "Hielscher", "Jonas", "" ], [ "Acar", "Yasemin", "" ], [ "Dürmuth", "Markus", "" ...
This paper investigates the digital security experiences of four at-risk user groups in Germany, including older adults (70+), teenagers (14-17), people with migration backgrounds, and people with low formal education. Using computer-assisted telephone interviews, we sampled 250 participants per group, representative o...
2111.03363
Aidmar Wainakh
Aidmar Wainakh, Ephraim Zimmer, Sandeep Subedi, Jens Keim, Tim Grube, Shankar Karuppayah, Alejandro Sanchez Guinea, Max M\"uhlh\"auser
Federated Learning Attacks Revisited: A Critical Discussion of Gaps, Assumptions, and Evaluation Setups
In Section 5.2, incomplete information are mentioned on reference [9] ("How To Backdoor Federated Learning"). This part of text will be revised and enriched
null
null
null
cs.CR
http://creativecommons.org/licenses/by-nc-nd/4.0/
Federated learning (FL) enables a set of entities to collaboratively train a machine learning model without sharing their sensitive data, thus, mitigating some privacy concerns. However, an increasing number of works in the literature propose attacks that can manipulate the model and disclose information about the tr...
[ { "created": "Fri, 5 Nov 2021 10:07:34 GMT", "version": "v1" }, { "created": "Mon, 3 Jan 2022 08:30:00 GMT", "version": "v2" } ]
2022-01-04
[ [ "Wainakh", "Aidmar", "" ], [ "Zimmer", "Ephraim", "" ], [ "Subedi", "Sandeep", "" ], [ "Keim", "Jens", "" ], [ "Grube", "Tim", "" ], [ "Karuppayah", "Shankar", "" ], [ "Guinea", "Alejandro Sanchez", "" ],...
Federated learning (FL) enables a set of entities to collaboratively train a machine learning model without sharing their sensitive data, thus, mitigating some privacy concerns. However, an increasing number of works in the literature propose attacks that can manipulate the model and disclose information about the trai...
1308.1279
Russell Brown
Russell A. Brown
Barycentric Coordinates as Interpolants
8 pages, 1 figure
null
null
null
cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Barycentric coordinates are frequently used as interpolants to shade computer graphics images. A simple equation transforms barycentric coordinates from screen space into eye space in order to undo the perspective transformation and permit accurate interpolative shading of texture maps. This technique is amenable to ...
[ { "created": "Tue, 6 Aug 2013 14:15:42 GMT", "version": "v1" }, { "created": "Wed, 7 Aug 2013 13:39:44 GMT", "version": "v2" }, { "created": "Thu, 8 Aug 2013 14:09:09 GMT", "version": "v3" }, { "created": "Thu, 23 Oct 2014 09:46:57 GMT", "version": "v4" }, { "crea...
2014-10-31
[ [ "Brown", "Russell A.", "" ] ]
Barycentric coordinates are frequently used as interpolants to shade computer graphics images. A simple equation transforms barycentric coordinates from screen space into eye space in order to undo the perspective transformation and permit accurate interpolative shading of texture maps. This technique is amenable to co...
2210.12877
Chidera Biringa
Chidera Biringa and G\"okhan Kul
A Secure Design Pattern Approach Toward Tackling Lateral-Injection Attacks
4 pages, 3 figures. Accepted to The 15th IEEE International Conference on Security of Information and Networks (SIN)
null
null
null
cs.CR
http://creativecommons.org/licenses/by/4.0/
Software weaknesses that create attack surfaces for adversarial exploits, such as lateral SQL injection (LSQLi) attacks, are usually introduced during the design phase of software development. Security design patterns are sometimes applied to tackle these weaknesses. However, due to the stealthy nature of lateral-bas...
[ { "created": "Sun, 23 Oct 2022 23:02:52 GMT", "version": "v1" } ]
2022-10-25
[ [ "Biringa", "Chidera", "" ], [ "Kul", "Gökhan", "" ] ]
Software weaknesses that create attack surfaces for adversarial exploits, such as lateral SQL injection (LSQLi) attacks, are usually introduced during the design phase of software development. Security design patterns are sometimes applied to tackle these weaknesses. However, due to the stealthy nature of lateral-based...
2305.09779
Ali Gorji
Ali Gorji, Andisheh Amrollahi, Andreas Krause
A Scalable Walsh-Hadamard Regularizer to Overcome the Low-degree Spectral Bias of Neural Networks
Accepted for the 39th Conference on Uncertainty in Artificial Intelligence (UAI 2023)
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by-nc-sa/4.0/
Despite the capacity of neural nets to learn arbitrary functions, models trained through gradient descent often exhibit a bias towards ``simpler'' functions. Various notions of simplicity have been introduced to characterize this behavior. Here, we focus on the case of neural networks with discrete (zero-one), high-d...
[ { "created": "Tue, 16 May 2023 20:06:01 GMT", "version": "v1" }, { "created": "Sat, 10 Jun 2023 09:10:14 GMT", "version": "v2" } ]
2023-06-13
[ [ "Gorji", "Ali", "" ], [ "Amrollahi", "Andisheh", "" ], [ "Krause", "Andreas", "" ] ]
Despite the capacity of neural nets to learn arbitrary functions, models trained through gradient descent often exhibit a bias towards ``simpler'' functions. Various notions of simplicity have been introduced to characterize this behavior. Here, we focus on the case of neural networks with discrete (zero-one), high-dim...
2103.08006
Hamid Majidi Balanji
Hamid Majidi Balanji, and Ali Emre Turgut
Vision based range and bearing algorithm for robot swarms
2 pages, 3 figures, 2018 Turkey Robotic Conference (TORK 2018)
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a novel computer vision the algorithm proposed for the on-line range and bearing detection of the robot swarms. Results demonstrated the reliability of the proposed vision system such that it can be used for the robot swarms applications.
[ { "created": "Sun, 14 Mar 2021 19:35:39 GMT", "version": "v1" } ]
2021-03-16
[ [ "Balanji", "Hamid Majidi", "" ], [ "Turgut", "Ali Emre", "" ] ]
This paper presents a novel computer vision the algorithm proposed for the on-line range and bearing detection of the robot swarms. Results demonstrated the reliability of the proposed vision system such that it can be used for the robot swarms applications.
1704.06178
Andrea Esuli
Fabio Carrara, Andrea Esuli, Fabrizio Falchi, Alejandro Moreo Fern\'andez
Exploring epoch-dependent stochastic residual networks
Preliminary report
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The recently proposed stochastic residual networks selectively activate or bypass the layers during training, based on independent stochastic choices, each of which following a probability distribution that is fixed in advance. In this paper we present a first exploration on the use of an epoch-dependent distribution...
[ { "created": "Thu, 20 Apr 2017 15:08:28 GMT", "version": "v1" } ]
2017-04-21
[ [ "Carrara", "Fabio", "" ], [ "Esuli", "Andrea", "" ], [ "Falchi", "Fabrizio", "" ], [ "Fernández", "Alejandro Moreo", "" ] ]
The recently proposed stochastic residual networks selectively activate or bypass the layers during training, based on independent stochastic choices, each of which following a probability distribution that is fixed in advance. In this paper we present a first exploration on the use of an epoch-dependent distribution, ...
2312.11399
Chris Hokamp
Chris Hokamp and Demian Gholipour Ghalandari and Parsa Ghaffari
News Signals: An NLP Library for Text and Time Series
EMNLP NLP-OSS Workshop, December 2023
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
We present an open-source Python library for building and using datasets where inputs are clusters of textual data, and outputs are sequences of real values representing one or more time series signals. The news-signals library supports diverse data science and NLP problem settings related to the prediction of time s...
[ { "created": "Mon, 18 Dec 2023 18:02:41 GMT", "version": "v1" } ]
2023-12-19
[ [ "Hokamp", "Chris", "" ], [ "Ghalandari", "Demian Gholipour", "" ], [ "Ghaffari", "Parsa", "" ] ]
We present an open-source Python library for building and using datasets where inputs are clusters of textual data, and outputs are sequences of real values representing one or more time series signals. The news-signals library supports diverse data science and NLP problem settings related to the prediction of time ser...
2201.05576
Jayati Deshmukh
Srinath Srinivasa and Jayati Deshmukh
AI and the Sense of Self
Previous version of this paper was published in Jijnasa 2021
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
After several winters, AI is center-stage once again, with current advances enabling a vast array of AI applications. This renewed wave of AI has brought back to the fore several questions from the past, about philosophical foundations of intelligence and common sense -- predominantly motivated by ethical concerns of...
[ { "created": "Fri, 7 Jan 2022 10:54:06 GMT", "version": "v1" } ]
2022-01-17
[ [ "Srinivasa", "Srinath", "" ], [ "Deshmukh", "Jayati", "" ] ]
After several winters, AI is center-stage once again, with current advances enabling a vast array of AI applications. This renewed wave of AI has brought back to the fore several questions from the past, about philosophical foundations of intelligence and common sense -- predominantly motivated by ethical concerns of A...
2407.07606
Katrien Beuls
Jonas Doumen, Veronica Juliana Schmalz, Katrien Beuls and Paul Van Eecke
The Computational Learning of Construction Grammars: State of the Art and Prospective Roadmap
Peer-reviewed author's draft of a journal article to appear in Constructions and Frames (2025)
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
This paper documents and reviews the state of the art concerning computational models of construction grammar learning. It brings together prior work on the computational learning of form-meaning pairings, which has so far been studied in several distinct areas of research. The goal of this paper is threefold. First ...
[ { "created": "Wed, 10 Jul 2024 12:45:02 GMT", "version": "v1" } ]
2024-07-11
[ [ "Doumen", "Jonas", "" ], [ "Schmalz", "Veronica Juliana", "" ], [ "Beuls", "Katrien", "" ], [ "Van Eecke", "Paul", "" ] ]
This paper documents and reviews the state of the art concerning computational models of construction grammar learning. It brings together prior work on the computational learning of form-meaning pairings, which has so far been studied in several distinct areas of research. The goal of this paper is threefold. First of...
2001.04284
Thomas Ehrhard
Thomas Ehrhard (IRIF (UMR\_8243))
On the linear structure of cones
null
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
For encompassing the limitations of probabilistic coherence spaces which do not seem to provide natural interpretations of continuous data types such as the real line, Ehrhard and al. introduced a model of probabilistic higher order computation based on (positive) cones, and a class of totally monotone functions that...
[ { "created": "Mon, 13 Jan 2020 14:32:46 GMT", "version": "v1" } ]
2020-01-14
[ [ "Ehrhard", "Thomas", "", "IRIF" ] ]
For encompassing the limitations of probabilistic coherence spaces which do not seem to provide natural interpretations of continuous data types such as the real line, Ehrhard and al. introduced a model of probabilistic higher order computation based on (positive) cones, and a class of totally monotone functions that t...
2204.11677
Philipp Christmann
Philipp Christmann, Rishiraj Saha Roy, Gerhard Weikum
Conversational Question Answering on Heterogeneous Sources
SIGIR 2022 Research Track Long Paper
null
null
null
cs.IR cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Conversational question answering (ConvQA) tackles sequential information needs where contexts in follow-up questions are left implicit. Current ConvQA systems operate over homogeneous sources of information: either a knowledge base (KB), or a text corpus, or a collection of tables. This paper addresses the novel iss...
[ { "created": "Mon, 25 Apr 2022 14:13:44 GMT", "version": "v1" }, { "created": "Fri, 30 Jun 2023 12:32:03 GMT", "version": "v2" } ]
2023-07-03
[ [ "Christmann", "Philipp", "" ], [ "Roy", "Rishiraj Saha", "" ], [ "Weikum", "Gerhard", "" ] ]
Conversational question answering (ConvQA) tackles sequential information needs where contexts in follow-up questions are left implicit. Current ConvQA systems operate over homogeneous sources of information: either a knowledge base (KB), or a text corpus, or a collection of tables. This paper addresses the novel issue...
1404.7041
Weiyu Xu
Kumar Vijay Mishra, Myung Cho, Anton Kruger and Weiyu Xu
Super-resolution Line Spectrum Estimation with Block Priors
7 pages, double column
null
null
null
cs.IT math.IT math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We address the problem of super-resolution line spectrum estimation of an undersampled signal with block prior information. The component frequencies of the signal are assumed to take arbitrary continuous values in known frequency blocks. We formulate a general semidefinite program to recover these continuous-valued ...
[ { "created": "Mon, 28 Apr 2014 16:22:19 GMT", "version": "v1" } ]
2014-04-29
[ [ "Mishra", "Kumar Vijay", "" ], [ "Cho", "Myung", "" ], [ "Kruger", "Anton", "" ], [ "Xu", "Weiyu", "" ] ]
We address the problem of super-resolution line spectrum estimation of an undersampled signal with block prior information. The component frequencies of the signal are assumed to take arbitrary continuous values in known frequency blocks. We formulate a general semidefinite program to recover these continuous-valued fr...
2104.08835
Qinyuan Ye
Qinyuan Ye, Bill Yuchen Lin, Xiang Ren
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP
Accepted to EMNLP 2021. Camera-ready version. Code: https://github.com/INK-USC/CrossFit
null
null
null
cs.CL cs.LG
http://creativecommons.org/licenses/by-sa/4.0/
Humans can learn a new language task efficiently with only few examples, by leveraging their knowledge obtained when learning prior tasks. In this paper, we explore whether and how such cross-task generalization ability can be acquired, and further applied to build better few-shot learners across diverse NLP tasks. W...
[ { "created": "Sun, 18 Apr 2021 12:14:46 GMT", "version": "v1" }, { "created": "Thu, 30 Sep 2021 22:36:50 GMT", "version": "v2" } ]
2021-10-04
[ [ "Ye", "Qinyuan", "" ], [ "Lin", "Bill Yuchen", "" ], [ "Ren", "Xiang", "" ] ]
Humans can learn a new language task efficiently with only few examples, by leveraging their knowledge obtained when learning prior tasks. In this paper, we explore whether and how such cross-task generalization ability can be acquired, and further applied to build better few-shot learners across diverse NLP tasks. We ...
1911.10516
Weijia Zhang
Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Hui Xiong
Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction
8 pages, 9 figures, AAAI-2020
null
null
null
cs.LG eess.SP stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The ability to predict city-wide parking availability is crucial for the successful development of Parking Guidance and Information (PGI) systems. Indeed, the effective prediction of city-wide parking availability can improve parking efficiency, help urban planning, and ultimately alleviate city congestion. However, ...
[ { "created": "Sun, 24 Nov 2019 12:17:04 GMT", "version": "v1" } ]
2019-12-02
[ [ "Zhang", "Weijia", "" ], [ "Liu", "Hao", "" ], [ "Liu", "Yanchi", "" ], [ "Zhou", "Jingbo", "" ], [ "Xiong", "Hui", "" ] ]
The ability to predict city-wide parking availability is crucial for the successful development of Parking Guidance and Information (PGI) systems. Indeed, the effective prediction of city-wide parking availability can improve parking efficiency, help urban planning, and ultimately alleviate city congestion. However, it...
1310.2778
Guillaume Cheze
Alin Bostan (INRIA Saclay - Ile de France, MSR - INRIA), Guillaume Ch\`eze (IMT), Thomas Cluzeau (XLIM), Jacques-Arthur Weil (XLIM)
Efficient Algorithms for Computing Rational First Integrals and Darboux Polynomials of Planar Polynomial Vector Fields
null
null
null
null
cs.SC cs.DS math.CA nlin.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present fast algorithms for computing rational first integrals with bounded degree of a planar polynomial vector field. Our approach is inspired by an idea of Ferragut and Giacomini. We improve upon their work by proving that rational first integrals can be computed via systems of linear equations instead of syste...
[ { "created": "Thu, 10 Oct 2013 11:39:24 GMT", "version": "v1" } ]
2013-10-11
[ [ "Bostan", "Alin", "", "INRIA Saclay - Ile de France, MSR - INRIA" ], [ "Chèze", "Guillaume", "", "IMT" ], [ "Cluzeau", "Thomas", "", "XLIM" ], [ "Weil", "Jacques-Arthur", "", "XLIM" ] ]
We present fast algorithms for computing rational first integrals with bounded degree of a planar polynomial vector field. Our approach is inspired by an idea of Ferragut and Giacomini. We improve upon their work by proving that rational first integrals can be computed via systems of linear equations instead of systems...
1904.02530
Hamidreza Kasaei
S. Hamidreza Kasaei, Nima Shafii, Luis Seabra Lopes, Ana Maria Tome
Interactive Open-Ended Object, Affordance and Grasp Learning for Robotic Manipulation
null
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Service robots are expected to autonomously and efficiently work in human-centric environments. For this type of robots, object perception and manipulation are challenging tasks due to need for accurate and real-time response. This paper presents an interactive open-ended learning approach to recognize multiple objec...
[ { "created": "Thu, 4 Apr 2019 13:10:24 GMT", "version": "v1" } ]
2019-04-05
[ [ "Kasaei", "S. Hamidreza", "" ], [ "Shafii", "Nima", "" ], [ "Lopes", "Luis Seabra", "" ], [ "Tome", "Ana Maria", "" ] ]
Service robots are expected to autonomously and efficiently work in human-centric environments. For this type of robots, object perception and manipulation are challenging tasks due to need for accurate and real-time response. This paper presents an interactive open-ended learning approach to recognize multiple objects...
1910.01722
Osnat Mokryn
Hadar Miller and Osnat Mokryn
Constant State of Change: Engagement Inequality in Temporal Dynamic Networks
arXiv admin note: substantial text overlap with arXiv:1809.09613
PLOS ONE 15(4): e0231035 (2020)
10.1371/journal.pone.0231035
null
cs.SI physics.data-an stat.AP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The temporal changes in complex systems of interactions have excited the research community in recent years as they encompass understandings on their dynamics and evolution. From the collective dynamics of organizations and online communities to the spreading of information and fake news, to name a few, temporal dyna...
[ { "created": "Thu, 3 Oct 2019 21:12:57 GMT", "version": "v1" }, { "created": "Fri, 10 Apr 2020 19:25:59 GMT", "version": "v2" } ]
2020-04-15
[ [ "Miller", "Hadar", "" ], [ "Mokryn", "Osnat", "" ] ]
The temporal changes in complex systems of interactions have excited the research community in recent years as they encompass understandings on their dynamics and evolution. From the collective dynamics of organizations and online communities to the spreading of information and fake news, to name a few, temporal dynami...
2004.00554
Tao Lu
Bin Wang, Tao Lu, Yanduo Zhang
Feature-Driven Super-Resolution for Object Detection
4 pages, 3 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Although some convolutional neural networks (CNNs) based super-resolution (SR) algorithms yield good visual performances on single images recently. Most of them focus on perfect perceptual quality but ignore specific needs of subsequent detection task. This paper proposes a simple but powerful feature-driven super-re...
[ { "created": "Wed, 1 Apr 2020 16:33:07 GMT", "version": "v1" } ]
2020-04-02
[ [ "Wang", "Bin", "" ], [ "Lu", "Tao", "" ], [ "Zhang", "Yanduo", "" ] ]
Although some convolutional neural networks (CNNs) based super-resolution (SR) algorithms yield good visual performances on single images recently. Most of them focus on perfect perceptual quality but ignore specific needs of subsequent detection task. This paper proposes a simple but powerful feature-driven super-reso...
2006.11026
Carola Doerr
Arina Buzdalova, Carola Doerr, Anna Rodionova
Hybridizing the 1/5-th Success Rule with Q-Learning for Controlling the Mutation Rate of an Evolutionary Algorithm
To appear in the Proceedings of Parallel Problem Solving from Nature (PPSN'2020)
null
null
null
cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
It is well known that evolutionary algorithms (EAs) achieve peak performance only when their parameters are suitably tuned to the given problem. Even more, it is known that the best parameter values can change during the optimization process. Parameter control mechanisms are techniques developed to identify and to tr...
[ { "created": "Fri, 19 Jun 2020 09:12:49 GMT", "version": "v1" } ]
2020-06-22
[ [ "Buzdalova", "Arina", "" ], [ "Doerr", "Carola", "" ], [ "Rodionova", "Anna", "" ] ]
It is well known that evolutionary algorithms (EAs) achieve peak performance only when their parameters are suitably tuned to the given problem. Even more, it is known that the best parameter values can change during the optimization process. Parameter control mechanisms are techniques developed to identify and to trac...
2212.01736
Min Qiu
Min Qiu and Yu-Chih Huang and Jinhong Yuan
Downlink Transmission with Heterogeneous URLLC Services: Discrete Signaling With Single-User Decoding
16 pages, 7 figures, accepted by IEEE Journal on Selected Areas in Communications
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The problem of designing downlink transmission schemes for supporting heterogeneous ultra-reliable low-latency communications (URLLC) and/or with other types of services is investigated. We consider the broadcast channel, where the base station sends superimposed signals to multiple users. Under heterogeneous blockle...
[ { "created": "Sun, 4 Dec 2022 04:00:19 GMT", "version": "v1" }, { "created": "Tue, 2 May 2023 13:18:50 GMT", "version": "v2" } ]
2023-05-03
[ [ "Qiu", "Min", "" ], [ "Huang", "Yu-Chih", "" ], [ "Yuan", "Jinhong", "" ] ]
The problem of designing downlink transmission schemes for supporting heterogeneous ultra-reliable low-latency communications (URLLC) and/or with other types of services is investigated. We consider the broadcast channel, where the base station sends superimposed signals to multiple users. Under heterogeneous blockleng...
1807.09751
Han Xiao
Han Xiao, Yidong Chen, Xiaodong Shi
Multi-Perspective Neural Architecture for Recommendation System
null
null
null
null
cs.IR cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Currently, there starts a research trend to leverage neural architecture for recommendation systems. Though several deep recommender models are proposed, most methods are too simple to characterize users' complex preference. In this paper, for a fine-grain analysis, users' ratings are explained from multiple perspect...
[ { "created": "Thu, 12 Jul 2018 05:06:39 GMT", "version": "v1" } ]
2018-07-26
[ [ "Xiao", "Han", "" ], [ "Chen", "Yidong", "" ], [ "Shi", "Xiaodong", "" ] ]
Currently, there starts a research trend to leverage neural architecture for recommendation systems. Though several deep recommender models are proposed, most methods are too simple to characterize users' complex preference. In this paper, for a fine-grain analysis, users' ratings are explained from multiple perspectiv...
1905.09777
Oded Stein
Oded Stein, Alec Jacobson, Max Wardetzky and Eitan Grinspun
A Smoothness Energy without Boundary Distortion for Curved Surfaces
17 pages, 18 figures
null
10.1145/3377406
null
cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Current quadratic smoothness energies for curved surfaces either exhibit distortions near the boundary due to zero Neumann boundary conditions, or they do not correctly account for intrinsic curvature, which leads to unnatural-looking behavior away from the boundary. This leads to an unfortunate trade-off: one can ei...
[ { "created": "Thu, 23 May 2019 17:04:31 GMT", "version": "v1" }, { "created": "Mon, 27 Apr 2020 23:08:09 GMT", "version": "v2" } ]
2020-04-29
[ [ "Stein", "Oded", "" ], [ "Jacobson", "Alec", "" ], [ "Wardetzky", "Max", "" ], [ "Grinspun", "Eitan", "" ] ]
Current quadratic smoothness energies for curved surfaces either exhibit distortions near the boundary due to zero Neumann boundary conditions, or they do not correctly account for intrinsic curvature, which leads to unnatural-looking behavior away from the boundary. This leads to an unfortunate trade-off: one can eith...
1811.09961
Bo Pang
Bo Pang, Kaiwen Zha, Hanwen Cao, Chen Shi, Cewu Lu
Deep RNN Framework for Visual Sequential Applications
10 pages, 7 figures, CVPR 2019
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Extracting temporal and representation features efficiently plays a pivotal role in understanding visual sequence information. To deal with this, we propose a new recurrent neural framework that can be stacked deep effectively. There are mainly two novel designs in our deep RNN framework: one is a new RNN module call...
[ { "created": "Sun, 25 Nov 2018 06:34:29 GMT", "version": "v1" }, { "created": "Tue, 27 Nov 2018 08:04:56 GMT", "version": "v2" }, { "created": "Wed, 28 Nov 2018 09:34:28 GMT", "version": "v3" }, { "created": "Fri, 25 Oct 2019 03:55:16 GMT", "version": "v4" } ]
2019-10-28
[ [ "Pang", "Bo", "" ], [ "Zha", "Kaiwen", "" ], [ "Cao", "Hanwen", "" ], [ "Shi", "Chen", "" ], [ "Lu", "Cewu", "" ] ]
Extracting temporal and representation features efficiently plays a pivotal role in understanding visual sequence information. To deal with this, we propose a new recurrent neural framework that can be stacked deep effectively. There are mainly two novel designs in our deep RNN framework: one is a new RNN module called...
2309.16882
Shaoming Xu
Shaoming Xu, Ankush Khandelwal, Arvind Renganathan, Vipin Kumar
Message Propagation Through Time: An Algorithm for Sequence Dependency Retention in Time Series Modeling
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Time series modeling, a crucial area in science, often encounters challenges when training Machine Learning (ML) models like Recurrent Neural Networks (RNNs) using the conventional mini-batch training strategy that assumes independent and identically distributed (IID) samples and initializes RNNs with zero hidden sta...
[ { "created": "Thu, 28 Sep 2023 22:38:18 GMT", "version": "v1" } ]
2023-10-02
[ [ "Xu", "Shaoming", "" ], [ "Khandelwal", "Ankush", "" ], [ "Renganathan", "Arvind", "" ], [ "Kumar", "Vipin", "" ] ]
Time series modeling, a crucial area in science, often encounters challenges when training Machine Learning (ML) models like Recurrent Neural Networks (RNNs) using the conventional mini-batch training strategy that assumes independent and identically distributed (IID) samples and initializes RNNs with zero hidden state...
1408.3764
Loren Schwiebert
Loren Schwiebert, Eyad Hailat, Kamel Rushaidat, Jason Mick, and Jeffrey Potoff
An Efficient Cell List Implementation for Monte Carlo Simulation on GPUs
30 pages
null
null
null
cs.DC physics.comp-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Maximizing the performance potential of the modern day GPU architecture requires judicious utilization of available parallel resources. Although dramatic reductions can often be obtained through straightforward mappings, further performance improvements often require algorithmic redesigns to more closely exploit the ...
[ { "created": "Sat, 16 Aug 2014 19:30:37 GMT", "version": "v1" } ]
2014-08-19
[ [ "Schwiebert", "Loren", "" ], [ "Hailat", "Eyad", "" ], [ "Rushaidat", "Kamel", "" ], [ "Mick", "Jason", "" ], [ "Potoff", "Jeffrey", "" ] ]
Maximizing the performance potential of the modern day GPU architecture requires judicious utilization of available parallel resources. Although dramatic reductions can often be obtained through straightforward mappings, further performance improvements often require algorithmic redesigns to more closely exploit the ta...
2310.13441
Guillaume Allais
Guillaume Allais
Seamless, Correct, and Generic Programming over Serialised Data
As submitted to JFP
null
null
null
cs.PL
http://creativecommons.org/licenses/by/4.0/
In typed functional languages, one can typically only manipulate data in a type-safe manner if it first has been deserialised into an in-memory tree represented as a graph of nodes-as-structs and subterms-as-pointers. We demonstrate how we can use QTT as implemented in \idris{} to define a small universe of seriali...
[ { "created": "Fri, 20 Oct 2023 12:09:17 GMT", "version": "v1" }, { "created": "Fri, 26 Apr 2024 16:18:36 GMT", "version": "v2" } ]
2024-04-29
[ [ "Allais", "Guillaume", "" ] ]
In typed functional languages, one can typically only manipulate data in a type-safe manner if it first has been deserialised into an in-memory tree represented as a graph of nodes-as-structs and subterms-as-pointers. We demonstrate how we can use QTT as implemented in \idris{} to define a small universe of serialised ...
1307.4308
Junichiro Fukuyama
Junichiro Fukuyama
An Alternative Proof of the Exponential Monotone Complexity of the Clique Function
arXiv admin note: substantial text overlap with arXiv:1305.3218
null
null
null
cs.CC math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In 1985, Razborov discovered a proof that the monotone circuit complexity of the clique problem is super-polynomial. Alon and Boppana improved the result into exponential lower bound exp(\Omega(n / \log n)^{1/3})) of a monotone circuit C to compute cliques of size (1/4) (n / log n)^{2/3}, where n is the number of ver...
[ { "created": "Tue, 16 Jul 2013 15:29:16 GMT", "version": "v1" }, { "created": "Sun, 8 Sep 2013 07:36:13 GMT", "version": "v2" } ]
2013-09-10
[ [ "Fukuyama", "Junichiro", "" ] ]
In 1985, Razborov discovered a proof that the monotone circuit complexity of the clique problem is super-polynomial. Alon and Boppana improved the result into exponential lower bound exp(\Omega(n / \log n)^{1/3})) of a monotone circuit C to compute cliques of size (1/4) (n / log n)^{2/3}, where n is the number of verti...
2109.14364
Keshav Kolluru
Keshav Kolluru, Martin Rezk, Pat Verga, William W. Cohen and Partha Talukdar
Multilingual Fact Linking
AKBC 2021
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Knowledge-intensive NLP tasks can benefit from linking natural language text with facts from a Knowledge Graph (KG). Although facts themselves are language-agnostic, the fact labels (i.e., language-specific representation of the fact) in the KG are often present only in a few languages. This makes it challenging to l...
[ { "created": "Wed, 29 Sep 2021 11:50:44 GMT", "version": "v1" }, { "created": "Fri, 1 Oct 2021 03:58:54 GMT", "version": "v2" } ]
2021-10-04
[ [ "Kolluru", "Keshav", "" ], [ "Rezk", "Martin", "" ], [ "Verga", "Pat", "" ], [ "Cohen", "William W.", "" ], [ "Talukdar", "Partha", "" ] ]
Knowledge-intensive NLP tasks can benefit from linking natural language text with facts from a Knowledge Graph (KG). Although facts themselves are language-agnostic, the fact labels (i.e., language-specific representation of the fact) in the KG are often present only in a few languages. This makes it challenging to lin...
1805.11179
Octavio Narvaez Aroche
Octavio Narvaez-Aroche and Pierre-Jean Meyer and Murat Arcak and Andrew Packard
Reachability Analysis for Robustness Evaluation of the Sit-To-Stand Movement for Powered Lower Limb Orthoses
14 pages, 19 figures, DSCC 2018 Submission
null
10.1115/DSCC2018-9066
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A sensitivity-based approach for computing over-approximations of reachable sets, in the presence of constant parameter uncertainties and a single initial state, is used to analyze a three-link planar robot modeling a Powered Lower Limb Orthosis and its user. Given the nature of the mappings relating the state and pa...
[ { "created": "Mon, 28 May 2018 21:27:04 GMT", "version": "v1" } ]
2020-11-26
[ [ "Narvaez-Aroche", "Octavio", "" ], [ "Meyer", "Pierre-Jean", "" ], [ "Arcak", "Murat", "" ], [ "Packard", "Andrew", "" ] ]
A sensitivity-based approach for computing over-approximations of reachable sets, in the presence of constant parameter uncertainties and a single initial state, is used to analyze a three-link planar robot modeling a Powered Lower Limb Orthosis and its user. Given the nature of the mappings relating the state and para...
1408.2157
Tobias Christiani
Tobias Christiani and Rasmus Pagh
Generating k-independent variables in constant time
Accepted to The 55th Annual Symposium on Foundations of Computer Science (FOCS 2014). Copyright IEEE
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The generation of pseudorandom elements over finite fields is fundamental to the time, space and randomness complexity of randomized algorithms and data structures. We consider the problem of generating $k$-independent random values over a finite field $\mathbb{F}$ in a word RAM model equipped with constant time addi...
[ { "created": "Sat, 9 Aug 2014 21:42:05 GMT", "version": "v1" } ]
2014-08-12
[ [ "Christiani", "Tobias", "" ], [ "Pagh", "Rasmus", "" ] ]
The generation of pseudorandom elements over finite fields is fundamental to the time, space and randomness complexity of randomized algorithms and data structures. We consider the problem of generating $k$-independent random values over a finite field $\mathbb{F}$ in a word RAM model equipped with constant time additi...
2202.01451
Nikhil Singh
Nikhil Singh and Anupam Saxena
Topology Optimization with Tetra-kai-decahedra and Spheroidal Masks
null
null
null
null
cs.CE
http://creativecommons.org/licenses/by-nc-sa/4.0/
A novel meshing scheme, based on regular tetra-kai-decahedron, also referred to as truncated octahedron, cells is presented for use in spatial topology optimization. A tetra-kai-decahedron mesh ensures face connectivity between elements thereby eliminating singular solutions from the solution space. Various other ben...
[ { "created": "Thu, 3 Feb 2022 08:03:46 GMT", "version": "v1" } ]
2022-02-04
[ [ "Singh", "Nikhil", "" ], [ "Saxena", "Anupam", "" ] ]
A novel meshing scheme, based on regular tetra-kai-decahedron, also referred to as truncated octahedron, cells is presented for use in spatial topology optimization. A tetra-kai-decahedron mesh ensures face connectivity between elements thereby eliminating singular solutions from the solution space. Various other benef...
1802.02556
Huan Li
Huan Li, Richard Peng, Liren Shan, Yuhao Yi, Zhongzhi Zhang
Current Flow Group Closeness Centrality for Complex Networks
31 pages, 4 figures
WWW'2019
10.1145/3308558.3313490
null
cs.DS cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Current flow closeness centrality (CFCC) has a better discriminating ability than the ordinary closeness centrality based on shortest paths. In this paper, we extend this notion to a group of vertices in a weighted graph, and then study the problem of finding a subset $S$ of $k$ vertices to maximize its CFCC $C(S)$, ...
[ { "created": "Wed, 7 Feb 2018 18:30:40 GMT", "version": "v1" }, { "created": "Sun, 11 Feb 2018 19:30:05 GMT", "version": "v2" } ]
2019-02-25
[ [ "Li", "Huan", "" ], [ "Peng", "Richard", "" ], [ "Shan", "Liren", "" ], [ "Yi", "Yuhao", "" ], [ "Zhang", "Zhongzhi", "" ] ]
Current flow closeness centrality (CFCC) has a better discriminating ability than the ordinary closeness centrality based on shortest paths. In this paper, we extend this notion to a group of vertices in a weighted graph, and then study the problem of finding a subset $S$ of $k$ vertices to maximize its CFCC $C(S)$, bo...
2401.16841
Eric M\"uller
Eric M\"uller, Moritz Althaus, Elias Arnold, Philipp Spilger, Christian Pehle, Johannes Schemmel
jaxsnn: Event-driven Gradient Estimation for Analog Neuromorphic Hardware
null
null
null
null
cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Traditional neuromorphic hardware architectures rely on event-driven computation, where the asynchronous transmission of events, such as spikes, triggers local computations within synapses and neurons. While machine learning frameworks are commonly used for gradient-based training, their emphasis on dense data struct...
[ { "created": "Tue, 30 Jan 2024 09:27:13 GMT", "version": "v1" } ]
2024-01-31
[ [ "Müller", "Eric", "" ], [ "Althaus", "Moritz", "" ], [ "Arnold", "Elias", "" ], [ "Spilger", "Philipp", "" ], [ "Pehle", "Christian", "" ], [ "Schemmel", "Johannes", "" ] ]
Traditional neuromorphic hardware architectures rely on event-driven computation, where the asynchronous transmission of events, such as spikes, triggers local computations within synapses and neurons. While machine learning frameworks are commonly used for gradient-based training, their emphasis on dense data structur...
2101.11351
Dario Stein
Dario Stein, Sam Staton
Compositional Semantics for Probabilistic Programs with Exact Conditioning
16 pages, 5 figures
null
null
null
cs.PL cs.AI cs.LO math.CT math.PR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We define a probabilistic programming language for Gaussian random variables with a first-class exact conditioning construct. We give operational, denotational and equational semantics for this language, establishing convenient properties like exchangeability of conditions. Conditioning on equality of continuous rand...
[ { "created": "Wed, 27 Jan 2021 12:31:18 GMT", "version": "v1" } ]
2021-01-28
[ [ "Stein", "Dario", "" ], [ "Staton", "Sam", "" ] ]
We define a probabilistic programming language for Gaussian random variables with a first-class exact conditioning construct. We give operational, denotational and equational semantics for this language, establishing convenient properties like exchangeability of conditions. Conditioning on equality of continuous random...
2203.10157
Jon\'a\v{s} Kulh\'anek
Jon\'a\v{s} Kulh\'anek and Erik Derner and Torsten Sattler and Robert Babu\v{s}ka
ViewFormer: NeRF-free Neural Rendering from Few Images Using Transformers
ECCV 2022 poster
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Novel view synthesis is a long-standing problem. In this work, we consider a variant of the problem where we are given only a few context views sparsely covering a scene or an object. The goal is to predict novel viewpoints in the scene, which requires learning priors. The current state of the art is based on Neural ...
[ { "created": "Fri, 18 Mar 2022 21:08:23 GMT", "version": "v1" }, { "created": "Thu, 21 Jul 2022 06:03:51 GMT", "version": "v2" } ]
2022-07-22
[ [ "Kulhánek", "Jonáš", "" ], [ "Derner", "Erik", "" ], [ "Sattler", "Torsten", "" ], [ "Babuška", "Robert", "" ] ]
Novel view synthesis is a long-standing problem. In this work, we consider a variant of the problem where we are given only a few context views sparsely covering a scene or an object. The goal is to predict novel viewpoints in the scene, which requires learning priors. The current state of the art is based on Neural Ra...
2102.04897
Zeyu Zheng
Zeyu Zheng, Vivek Veeriah, Risto Vuorio, Richard Lewis, Satinder Singh
Learning State Representations from Random Deep Action-conditional Predictions
NeurIPS 2021
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Our main contribution in this work is an empirical finding that random General Value Functions (GVFs), i.e., deep action-conditional predictions -- random both in what feature of observations they predict as well as in the sequence of actions the predictions are conditioned upon -- form good auxiliary tasks for reinf...
[ { "created": "Tue, 9 Feb 2021 15:53:22 GMT", "version": "v1" }, { "created": "Fri, 5 Nov 2021 18:19:02 GMT", "version": "v2" } ]
2021-11-09
[ [ "Zheng", "Zeyu", "" ], [ "Veeriah", "Vivek", "" ], [ "Vuorio", "Risto", "" ], [ "Lewis", "Richard", "" ], [ "Singh", "Satinder", "" ] ]
Our main contribution in this work is an empirical finding that random General Value Functions (GVFs), i.e., deep action-conditional predictions -- random both in what feature of observations they predict as well as in the sequence of actions the predictions are conditioned upon -- form good auxiliary tasks for reinfor...
2311.14678
Kate Saunders
Kate R. Saunders, Owen Forbes, Jess K. Hopf, Charlotte R. Patterson, Sarah A. Vollert, Kaitlyn Brown, Raiha Browning, Miguel Canizares, Richard S. Cottrell, Lanxi Li, Catherine J.S. Kim, Tace P. Stewart, Connie Susilawati, Xiang Y. Zhao, Kate J. Helmstedt
Data-driven recommendations for enhancing real-time natural hazard warnings, communication, and response
null
null
null
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The effectiveness and adequacy of natural hazard warnings hinges on the availability of data and its transformation into actionable knowledge for the public. Real-time warning communication and emergency response therefore need to be evaluated from a data science perspective. However, there are currently gaps between...
[ { "created": "Wed, 1 Nov 2023 02:59:45 GMT", "version": "v1" } ]
2023-11-28
[ [ "Saunders", "Kate R.", "" ], [ "Forbes", "Owen", "" ], [ "Hopf", "Jess K.", "" ], [ "Patterson", "Charlotte R.", "" ], [ "Vollert", "Sarah A.", "" ], [ "Brown", "Kaitlyn", "" ], [ "Browning", "Raiha", "" ...
The effectiveness and adequacy of natural hazard warnings hinges on the availability of data and its transformation into actionable knowledge for the public. Real-time warning communication and emergency response therefore need to be evaluated from a data science perspective. However, there are currently gaps between e...
2107.13681
David Doty
Ho-Lin Chen, David Doty, Wyatt Reeves, David Soloveichik
Rate-Independent Computation in Continuous Chemical Reaction Networks
accepted to JACM (https://doi.org/10.1145/3590776); preliminary version appeared in ITCS 2014: http://doi.org/10.1145/2554797.2554827
null
10.1145/3590776
null
cs.ET q-bio.MN
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Coupled chemical interactions in a well-mixed solution are commonly formalized as chemical reaction networks (CRNs). However, despite the widespread use of CRNs in the natural sciences, the range of computational behaviors exhibited by CRNs is not well understood. Here we study the following problem: what functions $...
[ { "created": "Thu, 29 Jul 2021 00:37:07 GMT", "version": "v1" }, { "created": "Wed, 12 Oct 2022 16:57:27 GMT", "version": "v2" }, { "created": "Fri, 7 Apr 2023 21:30:44 GMT", "version": "v3" } ]
2023-04-11
[ [ "Chen", "Ho-Lin", "" ], [ "Doty", "David", "" ], [ "Reeves", "Wyatt", "" ], [ "Soloveichik", "David", "" ] ]
Coupled chemical interactions in a well-mixed solution are commonly formalized as chemical reaction networks (CRNs). However, despite the widespread use of CRNs in the natural sciences, the range of computational behaviors exhibited by CRNs is not well understood. Here we study the following problem: what functions $f:...
1611.03056
Amr Abed
Amr S. Abed, Charles Clancy, David S. Levy
Intrusion Detection System for Applications using Linux Containers
The final publication is available at http://link.springer.com/chapter/10.1007%2F978-3-319-24858-5_8. arXiv admin note: substantial text overlap with arXiv:1611.03053
STM 2015. LNCS, vol. 9331, pp. 123-135. Springer, Heidelberg (2015)
10.1007/978-3-319-24858-5_8
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Linux containers are gaining increasing traction in both individual and industrial use, and as these containers get integrated into mission-critical systems, real-time detection of malicious cyber attacks becomes a critical operational requirement. This paper introduces a real-time host-based intrusion detection syst...
[ { "created": "Wed, 9 Nov 2016 19:37:55 GMT", "version": "v1" } ]
2017-01-05
[ [ "Abed", "Amr S.", "" ], [ "Clancy", "Charles", "" ], [ "Levy", "David S.", "" ] ]
Linux containers are gaining increasing traction in both individual and industrial use, and as these containers get integrated into mission-critical systems, real-time detection of malicious cyber attacks becomes a critical operational requirement. This paper introduces a real-time host-based intrusion detection system...
2106.12307
Mats Richter
Mats L. Richter, Julius Sch\"oning, Anna Wiedenroth, Ulf Krumnack
Should You Go Deeper? Optimizing Convolutional Neural Network Architectures without Training by Receptive Field Analysis
Preprint
null
10.1109/ICMLA52953.2021.00159
null
cs.LG cs.AI cs.NE stat.ML
http://creativecommons.org/licenses/by/4.0/
When optimizing convolutional neural networks (CNN) for a specific image-based task, specialists commonly overshoot the number of convolutional layers in their designs. By implication, these CNNs are unnecessarily resource intensive to train and deploy, with diminishing beneficial effects on the predictive performanc...
[ { "created": "Wed, 23 Jun 2021 11:04:16 GMT", "version": "v1" }, { "created": "Tue, 5 Oct 2021 19:19:25 GMT", "version": "v2" } ]
2022-06-23
[ [ "Richter", "Mats L.", "" ], [ "Schöning", "Julius", "" ], [ "Wiedenroth", "Anna", "" ], [ "Krumnack", "Ulf", "" ] ]
When optimizing convolutional neural networks (CNN) for a specific image-based task, specialists commonly overshoot the number of convolutional layers in their designs. By implication, these CNNs are unnecessarily resource intensive to train and deploy, with diminishing beneficial effects on the predictive performance....
2205.12471
Kun Qian
Yukun Huang, Kun Qian, Zhou Yu
Learning a Better Initialization for Soft Prompts via Meta-Learning
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Prompt tuning (PT) is an effective approach to adapting pre-trained language models to downstream tasks. Without a good initialization, prompt tuning doesn't perform well under few-shot settings. So pre-trained prompt tuning (PPT) is proposed to initialize prompts by leveraging pre-training data. We propose MetaPT (M...
[ { "created": "Wed, 25 May 2022 03:50:23 GMT", "version": "v1" } ]
2022-05-26
[ [ "Huang", "Yukun", "" ], [ "Qian", "Kun", "" ], [ "Yu", "Zhou", "" ] ]
Prompt tuning (PT) is an effective approach to adapting pre-trained language models to downstream tasks. Without a good initialization, prompt tuning doesn't perform well under few-shot settings. So pre-trained prompt tuning (PPT) is proposed to initialize prompts by leveraging pre-training data. We propose MetaPT (Met...
1503.07903
Safia Haloui
Safia Haloui
Codes from Jacobian surfaces
null
null
null
null
cs.IT math.AG math.IT math.NT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper is concerned with some Algebraic Geometry codes on Jacobians of genus 2 curves. We derive a lower bound for the minimum distance of these codes from an upper "Weil type" bound for the number of rational points on irreducible (possibly singular or non-absolutely irreducible) curves lying on an abelian surfa...
[ { "created": "Thu, 26 Mar 2015 21:12:08 GMT", "version": "v1" } ]
2015-03-30
[ [ "Haloui", "Safia", "" ] ]
This paper is concerned with some Algebraic Geometry codes on Jacobians of genus 2 curves. We derive a lower bound for the minimum distance of these codes from an upper "Weil type" bound for the number of rational points on irreducible (possibly singular or non-absolutely irreducible) curves lying on an abelian surface...
2212.04638
Aoyang Liu
Yansong Tang, Jinpeng Liu, Aoyang Liu, Bin Yang, Wenxun Dai, Yongming Rao, Jiwen Lu, Jie Zhou, Xiu Li
FLAG3D: A 3D Fitness Activity Dataset with Language Instruction
Accepted to CVPR2023
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the continuously thriving popularity around the world, fitness activity analytic has become an emerging research topic in computer vision. While a variety of new tasks and algorithms have been proposed recently, there are growing hunger for data resources involved in high-quality data, fine-grained labels, and d...
[ { "created": "Fri, 9 Dec 2022 02:33:33 GMT", "version": "v1" }, { "created": "Wed, 19 Apr 2023 13:31:03 GMT", "version": "v2" } ]
2023-04-20
[ [ "Tang", "Yansong", "" ], [ "Liu", "Jinpeng", "" ], [ "Liu", "Aoyang", "" ], [ "Yang", "Bin", "" ], [ "Dai", "Wenxun", "" ], [ "Rao", "Yongming", "" ], [ "Lu", "Jiwen", "" ], [ "Zhou", "Jie", ...
With the continuously thriving popularity around the world, fitness activity analytic has become an emerging research topic in computer vision. While a variety of new tasks and algorithms have been proposed recently, there are growing hunger for data resources involved in high-quality data, fine-grained labels, and div...
1607.01838
Chengcheng Wang
Chengcheng Wang, Yonggang Zhang, Bicheng Ying, and Ali H. Sayed
Coordinate-Descent Diffusion Learning by Networked Agents
Accepted for publication
null
10.1109/TSP.2017.2757903
null
cs.MA cs.DC cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This work examines the mean-square error performance of diffusion stochastic algorithms under a generalized coordinate-descent scheme. In this setting, the adaptation step by each agent is limited to a random subset of the coordinates of its stochastic gradient vector. The selection of coordinates varies randomly fro...
[ { "created": "Wed, 6 Jul 2016 23:18:04 GMT", "version": "v1" }, { "created": "Wed, 11 Oct 2017 01:38:44 GMT", "version": "v2" } ]
2017-10-12
[ [ "Wang", "Chengcheng", "" ], [ "Zhang", "Yonggang", "" ], [ "Ying", "Bicheng", "" ], [ "Sayed", "Ali H.", "" ] ]
This work examines the mean-square error performance of diffusion stochastic algorithms under a generalized coordinate-descent scheme. In this setting, the adaptation step by each agent is limited to a random subset of the coordinates of its stochastic gradient vector. The selection of coordinates varies randomly from ...
2312.13295
Christoph Gadermaier
Markus Kloimwieder, Christoph Gadermaier
A functional scripting interface to an object oriented C++ library
10 pages, code highlighted in color
null
null
null
cs.PL
http://creativecommons.org/licenses/by/4.0/
The object oriented programming paradigm is widely used in science and engineering. Many open and commercial libraries are written in C++ and increasingly provide bindings to Python, which is much easier to learn, but still partly encourages the use of object oriented programming. However, scientific ideas are much m...
[ { "created": "Sun, 17 Dec 2023 12:18:26 GMT", "version": "v1" } ]
2023-12-22
[ [ "Kloimwieder", "Markus", "" ], [ "Gadermaier", "Christoph", "" ] ]
The object oriented programming paradigm is widely used in science and engineering. Many open and commercial libraries are written in C++ and increasingly provide bindings to Python, which is much easier to learn, but still partly encourages the use of object oriented programming. However, scientific ideas are much mor...
2108.01330
Dalia Papuc
M.K. Aguilera, N. Ben-David, R. Guerraoui, D. Papuc, A. Xygkis, I. Zablotchi
Frugal Byzantine Computing
This paper is an extended version of the DISC 2021 paper
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Traditional techniques for handling Byzantine failures are expensive: digital signatures are too costly, while using $3f{+}1$ replicas is uneconomical ($f$ denotes the maximum number of Byzantine processes). We seek algorithms that reduce the number of replicas to $2f{+}1$ and minimize the number of signatures. While...
[ { "created": "Tue, 3 Aug 2021 07:14:31 GMT", "version": "v1" } ]
2021-08-04
[ [ "Aguilera", "M. K.", "" ], [ "Ben-David", "N.", "" ], [ "Guerraoui", "R.", "" ], [ "Papuc", "D.", "" ], [ "Xygkis", "A.", "" ], [ "Zablotchi", "I.", "" ] ]
Traditional techniques for handling Byzantine failures are expensive: digital signatures are too costly, while using $3f{+}1$ replicas is uneconomical ($f$ denotes the maximum number of Byzantine processes). We seek algorithms that reduce the number of replicas to $2f{+}1$ and minimize the number of signatures. While t...
2203.06457
MInsoo Lee
Minsoo Lee, Chaeyeon Chung, Hojun Cho, Minjung Kim, Sanghun Jung, Jaegul Choo, and Minhyuk Sung
3D-GIF: 3D-Controllable Object Generation via Implicit Factorized Representations
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
While NeRF-based 3D-aware image generation methods enable viewpoint control, limitations still remain to be adopted to various 3D applications. Due to their view-dependent and light-entangled volume representation, the 3D geometry presents unrealistic quality and the color should be re-rendered for every desired view...
[ { "created": "Sat, 12 Mar 2022 15:23:17 GMT", "version": "v1" } ]
2022-03-15
[ [ "Lee", "Minsoo", "" ], [ "Chung", "Chaeyeon", "" ], [ "Cho", "Hojun", "" ], [ "Kim", "Minjung", "" ], [ "Jung", "Sanghun", "" ], [ "Choo", "Jaegul", "" ], [ "Sung", "Minhyuk", "" ] ]
While NeRF-based 3D-aware image generation methods enable viewpoint control, limitations still remain to be adopted to various 3D applications. Due to their view-dependent and light-entangled volume representation, the 3D geometry presents unrealistic quality and the color should be re-rendered for every desired viewpo...
2309.16269
Youbin Jeon
Youbin Jeon and Sangheon Pack
Hierarchical Network Data Analytics Framework for B5G Network Automation: Design and Implementation
7 pages
null
null
null
cs.NI cs.LG cs.PF
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
5G introduced modularized network functions (NFs) to support emerging services in a more flexible and elastic manner. To mitigate the complexity in such modularized NF management, automated network operation and management are indispensable, and thus the 3rd generation partnership project (3GPP) has introduced a netw...
[ { "created": "Thu, 28 Sep 2023 09:04:58 GMT", "version": "v1" } ]
2023-09-29
[ [ "Jeon", "Youbin", "" ], [ "Pack", "Sangheon", "" ] ]
5G introduced modularized network functions (NFs) to support emerging services in a more flexible and elastic manner. To mitigate the complexity in such modularized NF management, automated network operation and management are indispensable, and thus the 3rd generation partnership project (3GPP) has introduced a networ...
1912.13490
Giovanni Granato G
Giovanni Granato and Gianluca Baldassarre
A Neurocomputational Account of Flexible Goal-directed Cognition and Consciousness: The Goal-Aligning Representation Internal Manipulation Theory (GARIM)
null
null
null
null
cs.AI cs.LG cs.NE q-bio.NC stat.ML
http://creativecommons.org/licenses/by/4.0/
Goal-directed manipulation of representations is a key element of human flexible behaviour, while consciousness is often related to several aspects of higher-order cognition and human flexibility. Currently these two phenomena are only partially integrated (e.g., see Neurorepresentationalism) and this (a) limits our ...
[ { "created": "Tue, 31 Dec 2019 18:45:33 GMT", "version": "v1" }, { "created": "Mon, 5 Dec 2022 14:37:15 GMT", "version": "v2" }, { "created": "Wed, 25 Oct 2023 07:56:24 GMT", "version": "v3" }, { "created": "Fri, 27 Oct 2023 12:08:01 GMT", "version": "v4" } ]
2023-10-30
[ [ "Granato", "Giovanni", "" ], [ "Baldassarre", "Gianluca", "" ] ]
Goal-directed manipulation of representations is a key element of human flexible behaviour, while consciousness is often related to several aspects of higher-order cognition and human flexibility. Currently these two phenomena are only partially integrated (e.g., see Neurorepresentationalism) and this (a) limits our un...
2209.05274
Quan Zhou
Quan Zhou, Jakub Marecek, Robert N. Shorten
Fairness in Forecasting of Observations of Linear Dynamical Systems
Journal version of Zhou et al. [arXiv:2006.07315, AAAI 2021]
Journal of Artificial Intelligence Research, Volume 76, 2023
10.1613/jair.1.14050
null
cs.LG cs.SY eess.SY math.DS math.ST stat.TH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In machine learning, training data often capture the behaviour of multiple subgroups of some underlying human population. This behaviour can often be modelled as observations of an unknown dynamical system with an unobserved state. When the training data for the subgroups are not controlled carefully, however, under-...
[ { "created": "Mon, 12 Sep 2022 14:32:12 GMT", "version": "v1" }, { "created": "Fri, 16 Sep 2022 12:14:51 GMT", "version": "v2" }, { "created": "Wed, 8 Mar 2023 23:14:14 GMT", "version": "v3" }, { "created": "Mon, 15 May 2023 20:13:53 GMT", "version": "v4" } ]
2023-05-17
[ [ "Zhou", "Quan", "" ], [ "Marecek", "Jakub", "" ], [ "Shorten", "Robert N.", "" ] ]
In machine learning, training data often capture the behaviour of multiple subgroups of some underlying human population. This behaviour can often be modelled as observations of an unknown dynamical system with an unobserved state. When the training data for the subgroups are not controlled carefully, however, under-re...
2210.08901
Xuran Pan
Xuran Pan, Tianzhu Ye, Dongchen Han, Shiji Song, Gao Huang
Contrastive Language-Image Pre-Training with Knowledge Graphs
Accepted by NeurIPS2022
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent years have witnessed the fast development of large-scale pre-training frameworks that can extract multi-modal representations in a unified form and achieve promising performances when transferred to downstream tasks. Nevertheless, existing approaches mainly focus on pre-training with simple image-text pairs, w...
[ { "created": "Mon, 17 Oct 2022 09:49:22 GMT", "version": "v1" } ]
2022-10-18
[ [ "Pan", "Xuran", "" ], [ "Ye", "Tianzhu", "" ], [ "Han", "Dongchen", "" ], [ "Song", "Shiji", "" ], [ "Huang", "Gao", "" ] ]
Recent years have witnessed the fast development of large-scale pre-training frameworks that can extract multi-modal representations in a unified form and achieve promising performances when transferred to downstream tasks. Nevertheless, existing approaches mainly focus on pre-training with simple image-text pairs, whi...
1904.12936
Amirreza Shaban
Amirreza Shaban, Amir Rahimi, Shray Bansal, Stephen Gould, Byron Boots, Richard Hartley
Learning to Find Common Objects Across Few Image Collections
ICCV 2019
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Given a collection of bags where each bag is a set of images, our goal is to select one image from each bag such that the selected images are from the same object class. We model the selection as an energy minimization problem with unary and pairwise potential functions. Inspired by recent few-shot learning algorithm...
[ { "created": "Mon, 29 Apr 2019 20:26:40 GMT", "version": "v1" }, { "created": "Sat, 17 Aug 2019 01:08:21 GMT", "version": "v2" } ]
2019-08-20
[ [ "Shaban", "Amirreza", "" ], [ "Rahimi", "Amir", "" ], [ "Bansal", "Shray", "" ], [ "Gould", "Stephen", "" ], [ "Boots", "Byron", "" ], [ "Hartley", "Richard", "" ] ]
Given a collection of bags where each bag is a set of images, our goal is to select one image from each bag such that the selected images are from the same object class. We model the selection as an energy minimization problem with unary and pairwise potential functions. Inspired by recent few-shot learning algorithms,...
2212.07998
Dimitri Bertsekas
Dimitri Bertsekas
Rollout Algorithms and Approximate Dynamic Programming for Bayesian Optimization and Sequential Estimation
null
null
null
null
cs.AI cs.SY eess.SY
http://creativecommons.org/licenses/by/4.0/
We provide a unifying approximate dynamic programming framework that applies to a broad variety of problems involving sequential estimation. We consider first the construction of surrogate cost functions for the purposes of optimization, and we focus on the special case of Bayesian optimization, using the rollout alg...
[ { "created": "Thu, 15 Dec 2022 17:50:23 GMT", "version": "v1" }, { "created": "Wed, 21 Dec 2022 14:19:03 GMT", "version": "v2" }, { "created": "Thu, 29 Dec 2022 05:13:39 GMT", "version": "v3" } ]
2023-01-02
[ [ "Bertsekas", "Dimitri", "" ] ]
We provide a unifying approximate dynamic programming framework that applies to a broad variety of problems involving sequential estimation. We consider first the construction of surrogate cost functions for the purposes of optimization, and we focus on the special case of Bayesian optimization, using the rollout algor...
1803.09492
Jussi Hanhirova
Jussi Hanhirova, Teemu K\"am\"ar\"ainen, Sipi Sepp\"al\"a, Matti Siekkinen, Vesa Hirvisalo, Antti Yl\"a-J\"a\"aski
Latency and Throughput Characterization of Convolutional Neural Networks for Mobile Computer Vision
13 pages, 18 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study performance characteristics of convolutional neural networks (CNN) for mobile computer vision systems. CNNs have proven to be a powerful and efficient approach to implement such systems. However, the system performance depends largely on the utilization of hardware accelerators, which are able to speed up th...
[ { "created": "Mon, 26 Mar 2018 09:49:03 GMT", "version": "v1" } ]
2018-03-28
[ [ "Hanhirova", "Jussi", "" ], [ "Kämäräinen", "Teemu", "" ], [ "Seppälä", "Sipi", "" ], [ "Siekkinen", "Matti", "" ], [ "Hirvisalo", "Vesa", "" ], [ "Ylä-Jääski", "Antti", "" ] ]
We study performance characteristics of convolutional neural networks (CNN) for mobile computer vision systems. CNNs have proven to be a powerful and efficient approach to implement such systems. However, the system performance depends largely on the utilization of hardware accelerators, which are able to speed up the ...
2110.11579
Ziv Scully
Ziv Scully, Mor Harchol-Balter
How to Schedule Near-Optimally under Real-World Constraints
null
null
null
null
cs.PF
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Scheduling is a critical part of practical computer systems, and scheduling has also been extensively studied from a theoretical perspective. Unfortunately, there is a gap between theory and practice, as the optimal scheduling policies presented by theory can be difficult or impossible to perfectly implement in pract...
[ { "created": "Fri, 22 Oct 2021 04:15:19 GMT", "version": "v1" } ]
2021-10-25
[ [ "Scully", "Ziv", "" ], [ "Harchol-Balter", "Mor", "" ] ]
Scheduling is a critical part of practical computer systems, and scheduling has also been extensively studied from a theoretical perspective. Unfortunately, there is a gap between theory and practice, as the optimal scheduling policies presented by theory can be difficult or impossible to perfectly implement in practic...
1809.02910
Tsang-Kai Chang
Tsang-Kai Chang, Shengkang Chen, and Ankur Mehta
Localization Algorithm with Circular Representation in 2D and its Similarity to Mammalian Brains
8 pages, 2 figures, submitted to the IEEE Robotics and Automation Letters (RA-L) journal with the option for presentation at RSS
null
null
null
cs.RO q-bio.NC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Extended Kalman filter (EKF) does not guarantee consistent mean and covariance under linearization, even though it is the main framework for robotic localization. While Lie group improves the modeling of the state space in localization, the EKF on Lie group still relies on the arbitrary Gaussian assumption in face of...
[ { "created": "Sun, 9 Sep 2018 01:54:21 GMT", "version": "v1" }, { "created": "Fri, 25 Jan 2019 03:56:57 GMT", "version": "v2" } ]
2019-01-28
[ [ "Chang", "Tsang-Kai", "" ], [ "Chen", "Shengkang", "" ], [ "Mehta", "Ankur", "" ] ]
Extended Kalman filter (EKF) does not guarantee consistent mean and covariance under linearization, even though it is the main framework for robotic localization. While Lie group improves the modeling of the state space in localization, the EKF on Lie group still relies on the arbitrary Gaussian assumption in face of n...
0805.2854
Feng Xia
Feng Xia, Longhua Ma, Jinxiang Dong and Youxian Sun
Network QoS Management in Cyber-Physical Systems
To appear in The 2008 Int.Conf. on Embedded Software and Systems (ICESS), Chengdu, China, July 2008
null
null
null
cs.NI cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Technical advances in ubiquitous sensing, embedded computing, and wireless communication are leading to a new generation of engineered systems called cyber-physical systems (CPS). CPS promises to transform the way we interact with the physical world just as the Internet transformed how we interact with one another. B...
[ { "created": "Mon, 19 May 2008 12:49:11 GMT", "version": "v1" } ]
2008-12-18
[ [ "Xia", "Feng", "" ], [ "Ma", "Longhua", "" ], [ "Dong", "Jinxiang", "" ], [ "Sun", "Youxian", "" ] ]
Technical advances in ubiquitous sensing, embedded computing, and wireless communication are leading to a new generation of engineered systems called cyber-physical systems (CPS). CPS promises to transform the way we interact with the physical world just as the Internet transformed how we interact with one another. Bef...
2004.13181
Sheldon Tan
Wentian Jin, Sheriff Sadiqbatcha, Jinwei Zhang, Sheldon X.-D. Tan
EM-GAN: Fast Stress Analysis for Multi-Segment Interconnect Using Generative Adversarial Networks
null
null
null
null
cs.LG cs.NE eess.IV stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose a fast transient hydrostatic stress analysis for electromigration (EM) failure assessment for multi-segment interconnects using generative adversarial networks (GANs). Our work leverages the image synthesis feature of GAN-based generative deep neural networks. The stress evaluation of multi-...
[ { "created": "Mon, 27 Apr 2020 21:18:11 GMT", "version": "v1" } ]
2020-04-29
[ [ "Jin", "Wentian", "" ], [ "Sadiqbatcha", "Sheriff", "" ], [ "Zhang", "Jinwei", "" ], [ "Tan", "Sheldon X. -D.", "" ] ]
In this paper, we propose a fast transient hydrostatic stress analysis for electromigration (EM) failure assessment for multi-segment interconnects using generative adversarial networks (GANs). Our work leverages the image synthesis feature of GAN-based generative deep neural networks. The stress evaluation of multi-se...
2009.11796
Neha Kaushik
Niladri Chatterjee, Neha Kaushik
Automatic Extraction of Agriculture Terms from Domain Text: A Survey of Tools and Techniques
null
null
null
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Agriculture is a key component in any country's development. Domain-specific knowledge resources serve to gain insight into the domain. Existing knowledge resources such as AGROVOC and NAL Thesaurus are developed and maintained by the domain experts. Population of terms into these knowledge resources can be automated...
[ { "created": "Thu, 24 Sep 2020 16:38:44 GMT", "version": "v1" } ]
2020-09-25
[ [ "Chatterjee", "Niladri", "" ], [ "Kaushik", "Neha", "" ] ]
Agriculture is a key component in any country's development. Domain-specific knowledge resources serve to gain insight into the domain. Existing knowledge resources such as AGROVOC and NAL Thesaurus are developed and maintained by the domain experts. Population of terms into these knowledge resources can be automated b...
2402.13545
Guandong Li
Guandong Li, Xian Yang, Wenpin Ma
A Two-Stage Dual-Path Framework for Text Tampering Detection and Recognition
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Document tamper detection has always been an important aspect of tamper detection. Before the advent of deep learning, document tamper detection was difficult. We have made some explorations in the field of text tamper detection based on deep learning. Our Ps tamper detection method includes three steps: feature assi...
[ { "created": "Wed, 21 Feb 2024 05:54:42 GMT", "version": "v1" }, { "created": "Thu, 22 Feb 2024 02:12:19 GMT", "version": "v2" } ]
2024-02-23
[ [ "Li", "Guandong", "" ], [ "Yang", "Xian", "" ], [ "Ma", "Wenpin", "" ] ]
Document tamper detection has always been an important aspect of tamper detection. Before the advent of deep learning, document tamper detection was difficult. We have made some explorations in the field of text tamper detection based on deep learning. Our Ps tamper detection method includes three steps: feature assist...
2308.08451
Shenghui Cheng
Xiangyu Li, Yuqing Fan, Shenghui Cheng
AIGC In China: Current Developments And Future Outlook
null
null
null
null
cs.AI cs.CY
http://creativecommons.org/licenses/by/4.0/
The increasing attention given to AI Generated Content (AIGC) has brought a profound impact on various aspects of daily life, industrial manufacturing, and the academic sector. Recognizing the global trends and competitiveness in AIGC development, this study aims to analyze China's current status in the field. The in...
[ { "created": "Mon, 14 Aug 2023 13:55:38 GMT", "version": "v1" }, { "created": "Mon, 21 Aug 2023 07:23:13 GMT", "version": "v2" } ]
2023-08-22
[ [ "Li", "Xiangyu", "" ], [ "Fan", "Yuqing", "" ], [ "Cheng", "Shenghui", "" ] ]
The increasing attention given to AI Generated Content (AIGC) has brought a profound impact on various aspects of daily life, industrial manufacturing, and the academic sector. Recognizing the global trends and competitiveness in AIGC development, this study aims to analyze China's current status in the field. The inve...
2403.13667
Zixuan Wang
Zixuan Wang, Jia Jia, Shikun Sun, Haozhe Wu, Rong Han, Zhenyu Li, Di Tang, Jiaqing Zhou, Jiebo Luo
DanceCamera3D: 3D Camera Movement Synthesis with Music and Dance
Accept to CVPR 2024
null
null
null
cs.CV cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Choreographers determine what the dances look like, while cameramen determine the final presentation of dances. Recently, various methods and datasets have showcased the feasibility of dance synthesis. However, camera movement synthesis with music and dance remains an unsolved challenging problem due to the scarcity ...
[ { "created": "Wed, 20 Mar 2024 15:24:57 GMT", "version": "v1" } ]
2024-03-21
[ [ "Wang", "Zixuan", "" ], [ "Jia", "Jia", "" ], [ "Sun", "Shikun", "" ], [ "Wu", "Haozhe", "" ], [ "Han", "Rong", "" ], [ "Li", "Zhenyu", "" ], [ "Tang", "Di", "" ], [ "Zhou", "Jiaqing", "" ...
Choreographers determine what the dances look like, while cameramen determine the final presentation of dances. Recently, various methods and datasets have showcased the feasibility of dance synthesis. However, camera movement synthesis with music and dance remains an unsolved challenging problem due to the scarcity of...
2110.02453
Lin Zheng
Lin Zheng, Huijie Pan, Lingpeng Kong
Ripple Attention for Visual Perception with Sub-quadratic Complexity
19 pages, 2 figures, ICML 2022 camera ready
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Transformer architectures are now central to sequence modeling tasks. At its heart is the attention mechanism, which enables effective modeling of long-term dependencies in a sequence. Recently, transformers have been successfully applied in the computer vision domain, where 2D images are first segmented into patches...
[ { "created": "Wed, 6 Oct 2021 02:00:38 GMT", "version": "v1" }, { "created": "Wed, 15 Jun 2022 13:59:31 GMT", "version": "v2" } ]
2022-06-16
[ [ "Zheng", "Lin", "" ], [ "Pan", "Huijie", "" ], [ "Kong", "Lingpeng", "" ] ]
Transformer architectures are now central to sequence modeling tasks. At its heart is the attention mechanism, which enables effective modeling of long-term dependencies in a sequence. Recently, transformers have been successfully applied in the computer vision domain, where 2D images are first segmented into patches a...
2407.13214
Lu Gan
Lu Gan and Xi Li
TXL-PBC: a freely accessible labeled peripheral blood cell dataset
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In a recent study, we found that publicly BCCD and BCD datasets have significant issues such as labeling errors, insufficient sample size, and poor data quality. To address these problems, we performed sample deletion, re-labeling, and integration of these two datasets. Additionally, we introduced the PBC and Raabin-...
[ { "created": "Thu, 18 Jul 2024 06:54:49 GMT", "version": "v1" } ]
2024-07-19
[ [ "Gan", "Lu", "" ], [ "Li", "Xi", "" ] ]
In a recent study, we found that publicly BCCD and BCD datasets have significant issues such as labeling errors, insufficient sample size, and poor data quality. To address these problems, we performed sample deletion, re-labeling, and integration of these two datasets. Additionally, we introduced the PBC and Raabin-WB...
2310.19990
Ankur Nath
Ankur Nath, Alan Kuhnle
Unveiling the Limits of Learned Local Search Heuristics: Are You the Mightiest of the Meek?
null
null
null
null
cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
In recent years, combining neural networks with local search heuristics has become popular in the field of combinatorial optimization. Despite its considerable computational demands, this approach has exhibited promising outcomes with minimal manual engineering. However, we have identified three critical limitations ...
[ { "created": "Mon, 30 Oct 2023 20:16:42 GMT", "version": "v1" } ]
2023-11-01
[ [ "Nath", "Ankur", "" ], [ "Kuhnle", "Alan", "" ] ]
In recent years, combining neural networks with local search heuristics has become popular in the field of combinatorial optimization. Despite its considerable computational demands, this approach has exhibited promising outcomes with minimal manual engineering. However, we have identified three critical limitations in...
2105.07157
Yuyang Wei
Yuyang Wei, Yijun Yu, Minxue Pan, Tian Zhang
A Feature Table approach to decomposing monolithic applications into microservices
null
null
10.1145/3457913.3457939
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Microservice architecture refers to the use of numerous small-scale and independently deployed services, instead of encapsulating all functions into one monolith. It has been a challenge in software engineering to decompose a monolithic system into smaller parts. In this paper, we propose the Feature Table approach, ...
[ { "created": "Sat, 15 May 2021 07:08:30 GMT", "version": "v1" } ]
2021-05-18
[ [ "Wei", "Yuyang", "" ], [ "Yu", "Yijun", "" ], [ "Pan", "Minxue", "" ], [ "Zhang", "Tian", "" ] ]
Microservice architecture refers to the use of numerous small-scale and independently deployed services, instead of encapsulating all functions into one monolith. It has been a challenge in software engineering to decompose a monolithic system into smaller parts. In this paper, we propose the Feature Table approach, a ...
2109.14286
Maximilian Hils
Maximilian Hils, Daniel W. Woods, Rainer B\"ohme
Conflicting Privacy Preference Signals in the Wild
null
null
null
null
cs.HC
http://creativecommons.org/licenses/by-nc-nd/4.0/
Privacy preference signals allow users to express preferences over how their personal data is processed. These signals become important in determining privacy outcomes when they reference an enforceable legal basis, as is the case with recent signals such as the Global Privacy Control and the Transparency & Consent F...
[ { "created": "Wed, 29 Sep 2021 09:10:47 GMT", "version": "v1" } ]
2021-09-30
[ [ "Hils", "Maximilian", "" ], [ "Woods", "Daniel W.", "" ], [ "Böhme", "Rainer", "" ] ]
Privacy preference signals allow users to express preferences over how their personal data is processed. These signals become important in determining privacy outcomes when they reference an enforceable legal basis, as is the case with recent signals such as the Global Privacy Control and the Transparency & Consent Fra...
2110.15525
Bin Wang
Kaitai Zhang, Bin Wang, C.-C. Jay Kuo
PEDENet: Image Anomaly Localization via Patch Embedding and Density Estimation
null
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A neural network targeting at unsupervised image anomaly localization, called the PEDENet, is proposed in this work. PEDENet contains a patch embedding (PE) network, a density estimation (DE) network, and an auxiliary network called the location prediction (LP) network. The PE network takes local image patches as inp...
[ { "created": "Fri, 29 Oct 2021 03:52:56 GMT", "version": "v1" } ]
2021-11-01
[ [ "Zhang", "Kaitai", "" ], [ "Wang", "Bin", "" ], [ "Kuo", "C. -C. Jay", "" ] ]
A neural network targeting at unsupervised image anomaly localization, called the PEDENet, is proposed in this work. PEDENet contains a patch embedding (PE) network, a density estimation (DE) network, and an auxiliary network called the location prediction (LP) network. The PE network takes local image patches as input...
2010.00796
Chenguang Zhu
Donghan Yu, Chenguang Zhu, Yiming Yang, Michael Zeng
JAKET: Joint Pre-training of Knowledge Graph and Language Understanding
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Knowledge graphs (KGs) contain rich information about world knowledge, entities and relations. Thus, they can be great supplements to existing pre-trained language models. However, it remains a challenge to efficiently integrate information from KG into language modeling. And the understanding of a knowledge graph re...
[ { "created": "Fri, 2 Oct 2020 05:53:36 GMT", "version": "v1" } ]
2020-10-05
[ [ "Yu", "Donghan", "" ], [ "Zhu", "Chenguang", "" ], [ "Yang", "Yiming", "" ], [ "Zeng", "Michael", "" ] ]
Knowledge graphs (KGs) contain rich information about world knowledge, entities and relations. Thus, they can be great supplements to existing pre-trained language models. However, it remains a challenge to efficiently integrate information from KG into language modeling. And the understanding of a knowledge graph requ...
1504.03880
Martin Zimmermann
Peter Faymonville and Martin Zimmermann
Parametric Linear Dynamic Logic (full version)
Accepted for publication at Information and Computation. A preliminary version of this work appeared in GandALF 2014 (arXiv:1408.5957)
null
null
null
cs.LO cs.FL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce Parametric Linear Dynamic Logic (PLDL), which extends Linear Dynamic Logic (LDL) by temporal operators equipped with parameters that bound their scope. LDL itself was proposed as an extension of Linear Temporal Logic (LTL) that is able to express all omega-regular specifications while still maintaining m...
[ { "created": "Wed, 15 Apr 2015 12:19:52 GMT", "version": "v1" }, { "created": "Mon, 7 Dec 2015 14:57:53 GMT", "version": "v2" } ]
2015-12-08
[ [ "Faymonville", "Peter", "" ], [ "Zimmermann", "Martin", "" ] ]
We introduce Parametric Linear Dynamic Logic (PLDL), which extends Linear Dynamic Logic (LDL) by temporal operators equipped with parameters that bound their scope. LDL itself was proposed as an extension of Linear Temporal Logic (LTL) that is able to express all omega-regular specifications while still maintaining man...
2310.00840
Tianjian Li
Tianjian Li, Haoran Xu, Philipp Koehn, Daniel Khashabi, Kenton Murray
Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models
ICLR 2024
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Text generation models are notoriously vulnerable to errors in the training data. With the wide-spread availability of massive amounts of web-crawled data becoming more commonplace, how can we enhance the robustness of models trained on a massive amount of noisy web-crawled text? In our work, we propose Error Norm Tr...
[ { "created": "Mon, 2 Oct 2023 01:30:27 GMT", "version": "v1" }, { "created": "Mon, 18 Mar 2024 19:28:38 GMT", "version": "v2" } ]
2024-03-20
[ [ "Li", "Tianjian", "" ], [ "Xu", "Haoran", "" ], [ "Koehn", "Philipp", "" ], [ "Khashabi", "Daniel", "" ], [ "Murray", "Kenton", "" ] ]
Text generation models are notoriously vulnerable to errors in the training data. With the wide-spread availability of massive amounts of web-crawled data becoming more commonplace, how can we enhance the robustness of models trained on a massive amount of noisy web-crawled text? In our work, we propose Error Norm Trun...
1203.5742
Marin\^es Guerreiro
Raul Antonio Ferraz, Marin\^es Guerreiro, and C\'esar Polcino Milies
G-equivalence in group algebras and minimal abelian codes
8 pages, 4 tables
null
null
null
cs.IT math.GR math.IT math.RA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Let G be a finite abelian group and F a field such that char(F) does not divide |G|. Denote by FG the group algebra of G over F. A (semisimple) abelian code is an ideal of FG. Two codes I and J of FG are G-equivalent if there exists an automorphism of G whose linear extension to FG maps I onto J In this paper we give...
[ { "created": "Mon, 26 Mar 2012 17:43:03 GMT", "version": "v1" } ]
2012-03-27
[ [ "Ferraz", "Raul Antonio", "" ], [ "Guerreiro", "Marinês", "" ], [ "Milies", "César Polcino", "" ] ]
Let G be a finite abelian group and F a field such that char(F) does not divide |G|. Denote by FG the group algebra of G over F. A (semisimple) abelian code is an ideal of FG. Two codes I and J of FG are G-equivalent if there exists an automorphism of G whose linear extension to FG maps I onto J In this paper we give a...
2102.03443
Jesus Tordesillas Torres
Andrea Tagliabue, Jesus Tordesillas, Xiaoyi Cai, Angel Santamaria-Navarro, Jonathan P. How, Luca Carlone, Ali-akbar Agha-mohammadi
LION: Lidar-Inertial Observability-Aware Navigator for Vision-Denied Environments
2020 International Symposium on Experimental Robotics (ISER 2020)
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
State estimation for robots navigating in GPS-denied and perceptually-degraded environments, such as underground tunnels, mines and planetary subsurface voids, remains challenging in robotics. Towards this goal, we present LION (Lidar-Inertial Observability-Aware Navigator), which is part of the state estimation fram...
[ { "created": "Fri, 5 Feb 2021 23:12:29 GMT", "version": "v1" } ]
2021-02-09
[ [ "Tagliabue", "Andrea", "" ], [ "Tordesillas", "Jesus", "" ], [ "Cai", "Xiaoyi", "" ], [ "Santamaria-Navarro", "Angel", "" ], [ "How", "Jonathan P.", "" ], [ "Carlone", "Luca", "" ], [ "Agha-mohammadi", "Ali-akb...
State estimation for robots navigating in GPS-denied and perceptually-degraded environments, such as underground tunnels, mines and planetary subsurface voids, remains challenging in robotics. Towards this goal, we present LION (Lidar-Inertial Observability-Aware Navigator), which is part of the state estimation framew...
1805.00780
Maren Awiszus
Maren Awiszus, Stella Gra{\ss}hof, Felix Kuhnke, J\"orn Ostermann
Unsupervised Features for Facial Expression Intensity Estimation over Time
Accepted for CVPR 2018 Workshop Track
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The diversity of facial shapes and motions among persons is one of the greatest challenges for automatic analysis of facial expressions. In this paper, we propose a feature describing expression intensity over time, while being invariant to person and the type of performed expression. Our feature is a weighted combin...
[ { "created": "Wed, 2 May 2018 13:12:05 GMT", "version": "v1" }, { "created": "Thu, 3 May 2018 07:15:26 GMT", "version": "v2" } ]
2018-05-04
[ [ "Awiszus", "Maren", "" ], [ "Graßhof", "Stella", "" ], [ "Kuhnke", "Felix", "" ], [ "Ostermann", "Jörn", "" ] ]
The diversity of facial shapes and motions among persons is one of the greatest challenges for automatic analysis of facial expressions. In this paper, we propose a feature describing expression intensity over time, while being invariant to person and the type of performed expression. Our feature is a weighted combinat...
2301.05892
Pau Gall\'es Ravent\'os
Pau Gall\'es, Katalin Takats and Javier Marin
Object Detection performance variation on compressed satellite image datasets with iquaflow
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
A lot of work has been done to reach the best possible performance of predictive models on images. There are fewer studies about the resilience of these models when they are trained on image datasets that suffer modifications altering their original quality. Yet this is a common problem that is often encountered in t...
[ { "created": "Sat, 14 Jan 2023 11:20:27 GMT", "version": "v1" }, { "created": "Wed, 18 Jan 2023 14:21:07 GMT", "version": "v2" } ]
2023-01-19
[ [ "Gallés", "Pau", "" ], [ "Takats", "Katalin", "" ], [ "Marin", "Javier", "" ] ]
A lot of work has been done to reach the best possible performance of predictive models on images. There are fewer studies about the resilience of these models when they are trained on image datasets that suffer modifications altering their original quality. Yet this is a common problem that is often encountered in the...
1504.03212
Carola Doerr
Benjamin Doerr and Carola Doerr
Optimal Parameter Choices Through Self-Adjustment: Applying the 1/5-th Rule in Discrete Settings
This is the full version of a paper that is to appear at GECCO 2015
null
null
null
cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
While evolutionary algorithms are known to be very successful for a broad range of applications, the algorithm designer is often left with many algorithmic choices, for example, the size of the population, the mutation rates, and the crossover rates of the algorithm. These parameters are known to have a crucial influ...
[ { "created": "Mon, 13 Apr 2015 15:16:00 GMT", "version": "v1" } ]
2015-04-14
[ [ "Doerr", "Benjamin", "" ], [ "Doerr", "Carola", "" ] ]
While evolutionary algorithms are known to be very successful for a broad range of applications, the algorithm designer is often left with many algorithmic choices, for example, the size of the population, the mutation rates, and the crossover rates of the algorithm. These parameters are known to have a crucial influen...
2012.14592
Hazem Torfah
Rayna Dimitrova, Bernd Finkbeiner, Hazem Torfah
Synthesizing Approximate Implementations for Unrealizable Specifications
Published at CAV 2019
null
10.1007/978-3-030-25540-4_13
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The unrealizability of a specification is often due to the assumption that the behavior of the environment is unrestricted. In this paper, we present algorithms for synthesis in bounded environments, where the environment can only generate input sequences that are ultimately periodic words (lassos) with finite repres...
[ { "created": "Tue, 29 Dec 2020 03:57:45 GMT", "version": "v1" } ]
2021-01-01
[ [ "Dimitrova", "Rayna", "" ], [ "Finkbeiner", "Bernd", "" ], [ "Torfah", "Hazem", "" ] ]
The unrealizability of a specification is often due to the assumption that the behavior of the environment is unrestricted. In this paper, we present algorithms for synthesis in bounded environments, where the environment can only generate input sequences that are ultimately periodic words (lassos) with finite represen...
1811.05250
Pan Zhou
Pan Zhou, Wenwen Yang, Wei Chen, Yanfeng Wang, Jia Jia
Modality Attention for End-to-End Audio-visual Speech Recognition
accepted by ICASSP2019
null
null
null
cs.CL cs.CV cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Audio-visual speech recognition (AVSR) system is thought to be one of the most promising solutions for robust speech recognition, especially in noisy environment. In this paper, we propose a novel multimodal attention based method for audio-visual speech recognition which could automatically learn the fused represent...
[ { "created": "Tue, 13 Nov 2018 12:28:03 GMT", "version": "v1" }, { "created": "Tue, 23 Apr 2019 04:21:06 GMT", "version": "v2" } ]
2019-04-24
[ [ "Zhou", "Pan", "" ], [ "Yang", "Wenwen", "" ], [ "Chen", "Wei", "" ], [ "Wang", "Yanfeng", "" ], [ "Jia", "Jia", "" ] ]
Audio-visual speech recognition (AVSR) system is thought to be one of the most promising solutions for robust speech recognition, especially in noisy environment. In this paper, we propose a novel multimodal attention based method for audio-visual speech recognition which could automatically learn the fused representat...
1705.05684
Rafael Pereira Pires
Rafael Pires and Daniel Gavril and Pascal Felber and Emanuel Onica and Marcelo Pasin
A lightweight MapReduce framework for secure processing with SGX
8 pages WACC@CCGRID International Workshop on Assured Cloud Computing and QoS aware Big Data
2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing
10.1109/CCGRID.2017.129
null
cs.DC cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
MapReduce is a programming model used extensively for parallel data processing in distributed environments. A wide range of algorithms were implemented using MapReduce, from simple tasks like sorting and searching up to complex clustering and machine learning operations. Many of these implementations are part of serv...
[ { "created": "Tue, 16 May 2017 12:46:38 GMT", "version": "v1" } ]
2017-05-17
[ [ "Pires", "Rafael", "" ], [ "Gavril", "Daniel", "" ], [ "Felber", "Pascal", "" ], [ "Onica", "Emanuel", "" ], [ "Pasin", "Marcelo", "" ] ]
MapReduce is a programming model used extensively for parallel data processing in distributed environments. A wide range of algorithms were implemented using MapReduce, from simple tasks like sorting and searching up to complex clustering and machine learning operations. Many of these implementations are part of servic...
2205.09214
Yong Niu
Jing Li, Yong Niu, Hao Wu, Bo Ai, Sheng Chen, Zhiyong Feng, Zhangdui Zhong, Ning Wang
Mobility Support for Millimeter Wave Communications: Opportunities and Challenges
25 pages,11 figures,journal
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Millimeter-wave (mmWave) communication technology offers a potential and promising solution to support 5G and B5G wireless networks in dynamic scenarios and applications. However, mobility introduces many challenges as well as opportunities to mmWave applications. To address these problems, we conduct a survey of the...
[ { "created": "Wed, 18 May 2022 20:59:14 GMT", "version": "v1" } ]
2022-05-20
[ [ "Li", "Jing", "" ], [ "Niu", "Yong", "" ], [ "Wu", "Hao", "" ], [ "Ai", "Bo", "" ], [ "Chen", "Sheng", "" ], [ "Feng", "Zhiyong", "" ], [ "Zhong", "Zhangdui", "" ], [ "Wang", "Ning", "" ] ...
Millimeter-wave (mmWave) communication technology offers a potential and promising solution to support 5G and B5G wireless networks in dynamic scenarios and applications. However, mobility introduces many challenges as well as opportunities to mmWave applications. To address these problems, we conduct a survey of the o...
2408.05715
Zhi-Cun Lyu
Zhi-Cun Lyu, Xin-Ye Li, Zheng Xie, Ming Li
Top Pass: Improve Code Generation by Pass@k-Maximized Code Ranking
Accepted by Frontier of Computer Science
null
null
null
cs.AI cs.SE
http://creativecommons.org/licenses/by/4.0/
Code generation has been greatly enhanced by the profound advancements in Large Language Models (LLMs) recently. Nevertheless, such LLM-based code generation approaches still struggle to generate error-free code in a few tries when faced with complex problems. To address this, the prevailing strategy is to sample a h...
[ { "created": "Sun, 11 Aug 2024 07:53:51 GMT", "version": "v1" } ]
2024-08-13
[ [ "Lyu", "Zhi-Cun", "" ], [ "Li", "Xin-Ye", "" ], [ "Xie", "Zheng", "" ], [ "Li", "Ming", "" ] ]
Code generation has been greatly enhanced by the profound advancements in Large Language Models (LLMs) recently. Nevertheless, such LLM-based code generation approaches still struggle to generate error-free code in a few tries when faced with complex problems. To address this, the prevailing strategy is to sample a hug...
2002.05511
Sanna Wager C
Sanna Wager, George Tzanetakis, Cheng-i Wang, Minje Kim
Deep Autotuner: a Pitch Correcting Network for Singing Performances
arXiv admin note: text overlap with arXiv:1902.00956
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
null
null
cs.SD cs.LG eess.AS stat.ML
http://creativecommons.org/publicdomain/zero/1.0/
We introduce a data-driven approach to automatic pitch correction of solo singing performances. The proposed approach predicts note-wise pitch shifts from the relationship between the respective spectrograms of the singing and accompaniment. This approach differs from commercial systems, where vocal track notes are u...
[ { "created": "Wed, 12 Feb 2020 01:33:56 GMT", "version": "v1" } ]
2020-02-25
[ [ "Wager", "Sanna", "" ], [ "Tzanetakis", "George", "" ], [ "Wang", "Cheng-i", "" ], [ "Kim", "Minje", "" ] ]
We introduce a data-driven approach to automatic pitch correction of solo singing performances. The proposed approach predicts note-wise pitch shifts from the relationship between the respective spectrograms of the singing and accompaniment. This approach differs from commercial systems, where vocal track notes are usu...
0803.0515
Christopher Pearson
Christopher Pearson, Celina Gibbs, Yvonne Coady
Intuitive Source Code Visualization Tools for Improving Student Comprehension: BRICS
null
null
null
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Even relatively simple code analysis can be a daunting task for many first year students. Perceived complexity, coupled with foreign and harsh syntax, often outstrips the ability for students to take in what they are seeing in terms of their verbal memory. That is, first year students often lack the experience to enc...
[ { "created": "Tue, 4 Mar 2008 18:46:49 GMT", "version": "v1" } ]
2008-03-05
[ [ "Pearson", "Christopher", "" ], [ "Gibbs", "Celina", "" ], [ "Coady", "Yvonne", "" ] ]
Even relatively simple code analysis can be a daunting task for many first year students. Perceived complexity, coupled with foreign and harsh syntax, often outstrips the ability for students to take in what they are seeing in terms of their verbal memory. That is, first year students often lack the experience to encod...
2407.15131
Jun Young Park
Junyoung Park, Myeonggu Kang, Yunki Han, Yanggon Kim, Jaekang Shin, Lee-Sup Kim
Token-Picker: Accelerating Attention in Text Generation with Minimized Memory Transfer via Probability Estimation
To appear in the proceedings of 61st Design Automation Conference (DAC)
null
null
null
cs.AR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The attention mechanism in text generation is memory-bounded due to its sequential characteristics. Therefore, off-chip memory accesses should be minimized for faster execution. Although previous methods addressed this by pruning unimportant tokens, they fall short in selectively removing tokens with near-zero attent...
[ { "created": "Sun, 21 Jul 2024 11:56:54 GMT", "version": "v1" } ]
2024-07-23
[ [ "Park", "Junyoung", "" ], [ "Kang", "Myeonggu", "" ], [ "Han", "Yunki", "" ], [ "Kim", "Yanggon", "" ], [ "Shin", "Jaekang", "" ], [ "Kim", "Lee-Sup", "" ] ]
The attention mechanism in text generation is memory-bounded due to its sequential characteristics. Therefore, off-chip memory accesses should be minimized for faster execution. Although previous methods addressed this by pruning unimportant tokens, they fall short in selectively removing tokens with near-zero attentio...
1901.11010
Thorsten Wissmann
Mirai Ikebuchi and Keisuke Nakano
On properties of $B$-terms
Journal version in Logical Methods in Computer Science. arXiv admin note: substantial text overlap with arXiv:1703.10938
Logical Methods in Computer Science, Volume 16, Issue 2 (June 2, 2020) lmcs:5156
10.23638/LMCS-16(2:8)2020
null
cs.LO
http://creativecommons.org/licenses/by/4.0/
$B$-terms are built from the $B$ combinator alone defined by $B\equiv\lambda fgx. f(g~x)$, which is well known as a function composition operator. This paper investigates an interesting property of $B$-terms, that is, whether repetitive right applications of a $B$-term cycles or not. We discuss conditions for $B$-ter...
[ { "created": "Wed, 30 Jan 2019 04:24:03 GMT", "version": "v1" }, { "created": "Tue, 12 Nov 2019 08:35:03 GMT", "version": "v2" }, { "created": "Mon, 1 Jun 2020 11:29:40 GMT", "version": "v3" } ]
2023-06-22
[ [ "Ikebuchi", "Mirai", "" ], [ "Nakano", "Keisuke", "" ] ]
$B$-terms are built from the $B$ combinator alone defined by $B\equiv\lambda fgx. f(g~x)$, which is well known as a function composition operator. This paper investigates an interesting property of $B$-terms, that is, whether repetitive right applications of a $B$-term cycles or not. We discuss conditions for $B$-terms...
1704.03672
Mario Gleirscher
Mario Gleirscher and Carmen Carlan
Arguing from Hazard Analysis in Safety Cases: A Modular Argument Pattern
null
null
10.1109/HASE.2017.15
null
cs.SE cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We observed that safety arguments are prone to stay too abstract, e.g. solutions refer to large packages, argument strategies to complex reasoning steps, contexts and assumptions lack traceability. These issues can reduce the confidence we require of such arguments. In this paper, we investigate the construction of c...
[ { "created": "Wed, 12 Apr 2017 09:41:30 GMT", "version": "v1" }, { "created": "Tue, 20 Feb 2018 20:03:55 GMT", "version": "v2" } ]
2021-01-29
[ [ "Gleirscher", "Mario", "" ], [ "Carlan", "Carmen", "" ] ]
We observed that safety arguments are prone to stay too abstract, e.g. solutions refer to large packages, argument strategies to complex reasoning steps, contexts and assumptions lack traceability. These issues can reduce the confidence we require of such arguments. In this paper, we investigate the construction of con...
1909.01432
Kai Zhou
Kai Zhou, Tomasz P. Michalak, and Yevgeniy Vorobeychik
Adversarial Robustness of Similarity-Based Link Prediction
ICDM 2019
null
null
null
cs.AI cs.CR cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Link prediction is one of the fundamental problems in social network analysis. A common set of techniques for link prediction rely on similarity metrics which use the topology of the observed subnetwork to quantify the likelihood of unobserved links. Recently, similarity metrics for link prediction have been shown to...
[ { "created": "Tue, 3 Sep 2019 20:20:45 GMT", "version": "v1" } ]
2019-09-05
[ [ "Zhou", "Kai", "" ], [ "Michalak", "Tomasz P.", "" ], [ "Vorobeychik", "Yevgeniy", "" ] ]
Link prediction is one of the fundamental problems in social network analysis. A common set of techniques for link prediction rely on similarity metrics which use the topology of the observed subnetwork to quantify the likelihood of unobserved links. Recently, similarity metrics for link prediction have been shown to b...
2112.12597
Mubin Ul Haque
Mubin Ul Haque and M. Ali Babar
Well Begun is Half Done: An Empirical Study of Exploitability & Impact of Base-Image Vulnerabilities
null
null
null
null
cs.CR cs.SE
http://creativecommons.org/licenses/by/4.0/
Container technology, (e.g., Docker) is being widely adopted for deploying software infrastructures or applications in the form of container images. Security vulnerabilities in the container images are a primary concern for developing containerized software. Exploitation of the vulnerabilities could result in disastr...
[ { "created": "Tue, 21 Dec 2021 07:41:02 GMT", "version": "v1" } ]
2021-12-24
[ [ "Haque", "Mubin Ul", "" ], [ "Babar", "M. Ali", "" ] ]
Container technology, (e.g., Docker) is being widely adopted for deploying software infrastructures or applications in the form of container images. Security vulnerabilities in the container images are a primary concern for developing containerized software. Exploitation of the vulnerabilities could result in disastrou...
1711.09057
Alejandro Torre\~no
Alejandro Torre\~no, Eva Onaindia, Anton\'in Komenda, Michal \v{S}tolba
Cooperative Multi-Agent Planning: A Survey
34 pages, 4 figures, 4 tables
ACM Computing Surveys, Volume 50, Number 6, Article 84. Publication date: November 2017
10.1145/3128584
null
cs.AI cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cooperative multi-agent planning (MAP) is a relatively recent research field that combines technologies, algorithms and techniques developed by the Artificial Intelligence Planning and Multi-Agent Systems communities. While planning has been generally treated as a single-agent task, MAP generalizes this concept by co...
[ { "created": "Fri, 24 Nov 2017 17:43:14 GMT", "version": "v1" } ]
2017-11-27
[ [ "Torreño", "Alejandro", "" ], [ "Onaindia", "Eva", "" ], [ "Komenda", "Antonín", "" ], [ "Štolba", "Michal", "" ] ]
Cooperative multi-agent planning (MAP) is a relatively recent research field that combines technologies, algorithms and techniques developed by the Artificial Intelligence Planning and Multi-Agent Systems communities. While planning has been generally treated as a single-agent task, MAP generalizes this concept by cons...
2309.13501
Rundong Gan
Rundong Gan, Le Wang, Xiaodong Lin
Why Trick Me: The Honeypot Traps on Decentralized Exchanges
null
null
10.1145/3605768.3623546
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Decentralized Exchanges (DEXs) are one of the most important infrastructures in the world of Decentralized Finance (DeFi) and are generally considered more reliable than centralized exchanges (CEXs). However, some well-known decentralized exchanges (e.g., Uniswap) allow the deployment of any unaudited ERC20 tokens, r...
[ { "created": "Sat, 23 Sep 2023 23:43:41 GMT", "version": "v1" } ]
2023-09-26
[ [ "Gan", "Rundong", "" ], [ "Wang", "Le", "" ], [ "Lin", "Xiaodong", "" ] ]
Decentralized Exchanges (DEXs) are one of the most important infrastructures in the world of Decentralized Finance (DeFi) and are generally considered more reliable than centralized exchanges (CEXs). However, some well-known decentralized exchanges (e.g., Uniswap) allow the deployment of any unaudited ERC20 tokens, res...
1512.01921
Nariman Farsad Dr.
Nariman Farsad, Weisi Guo, Chan-Byoung Chae, Andrew Eckford
Stable Distributions as Noise Models for Molecular Communication
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work, we consider diffusion-based molecular communication timing channels. Three different timing channels are presented based on three different modulation techniques, i.e., i) modulation of the release timing of the information particles, ii) modulation on the time between two consecutive information partic...
[ { "created": "Mon, 7 Dec 2015 06:06:54 GMT", "version": "v1" } ]
2015-12-08
[ [ "Farsad", "Nariman", "" ], [ "Guo", "Weisi", "" ], [ "Chae", "Chan-Byoung", "" ], [ "Eckford", "Andrew", "" ] ]
In this work, we consider diffusion-based molecular communication timing channels. Three different timing channels are presented based on three different modulation techniques, i.e., i) modulation of the release timing of the information particles, ii) modulation on the time between two consecutive information particle...
2402.15215
Meng Jiang
Meng Jiang, Keqin Bao, Jizhi Zhang, Wenjie Wang, Zhengyi Yang, Fuli Feng, Xiangnan He
Item-side Fairness of Large Language Model-based Recommendation System
Accepted by the Proceedings of the ACM Web Conference 2024
null
null
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recommendation systems for Web content distribution intricately connect to the information access and exposure opportunities for vulnerable populations. The emergence of Large Language Models-based Recommendation System (LRS) may introduce additional societal challenges to recommendation systems due to the inherent b...
[ { "created": "Fri, 23 Feb 2024 09:24:04 GMT", "version": "v1" } ]
2024-02-26
[ [ "Jiang", "Meng", "" ], [ "Bao", "Keqin", "" ], [ "Zhang", "Jizhi", "" ], [ "Wang", "Wenjie", "" ], [ "Yang", "Zhengyi", "" ], [ "Feng", "Fuli", "" ], [ "He", "Xiangnan", "" ] ]
Recommendation systems for Web content distribution intricately connect to the information access and exposure opportunities for vulnerable populations. The emergence of Large Language Models-based Recommendation System (LRS) may introduce additional societal challenges to recommendation systems due to the inherent bia...
2112.08740
Zhikang Wang
Zhikang Wang, Feng Zhu, Shixiang Tang, Rui Zhao, Lihuo He, Jiangning Song
Feature Erasing and Diffusion Network for Occluded Person Re-Identification
10 pages, 5 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Occluded person re-identification (ReID) aims at matching occluded person images to holistic ones across different camera views. Target Pedestrians (TP) are usually disturbed by Non-Pedestrian Occlusions (NPO) and NonTarget Pedestrians (NTP). Previous methods mainly focus on increasing model's robustness against NPO ...
[ { "created": "Thu, 16 Dec 2021 09:47:17 GMT", "version": "v1" }, { "created": "Thu, 31 Mar 2022 03:17:26 GMT", "version": "v2" } ]
2022-04-01
[ [ "Wang", "Zhikang", "" ], [ "Zhu", "Feng", "" ], [ "Tang", "Shixiang", "" ], [ "Zhao", "Rui", "" ], [ "He", "Lihuo", "" ], [ "Song", "Jiangning", "" ] ]
Occluded person re-identification (ReID) aims at matching occluded person images to holistic ones across different camera views. Target Pedestrians (TP) are usually disturbed by Non-Pedestrian Occlusions (NPO) and NonTarget Pedestrians (NTP). Previous methods mainly focus on increasing model's robustness against NPO wh...
2402.12891
Tim Michels
Tim Michels, Daniel M\"ackelmann and Reinhard Koch
Mind the Exit Pupil Gap: Revisiting the Intrinsics of a Standard Plenoptic Camera
29 pages, 16 figures, Accepted for publication in MDPI Sensors, Special Issue 'Short-Range Optical 3D Scanning and 3D Data Processing '
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Among the common applications of plenoptic cameras are depth reconstruction and post-shot refocusing. These require a calibration relating the camera-side light field to that of the scene. Numerous methods with this goal have been developed based on thin lens models for the plenoptic camera's main lens and microlense...
[ { "created": "Tue, 20 Feb 2024 10:35:51 GMT", "version": "v1" }, { "created": "Fri, 5 Apr 2024 09:26:07 GMT", "version": "v2" } ]
2024-04-08
[ [ "Michels", "Tim", "" ], [ "Mäckelmann", "Daniel", "" ], [ "Koch", "Reinhard", "" ] ]
Among the common applications of plenoptic cameras are depth reconstruction and post-shot refocusing. These require a calibration relating the camera-side light field to that of the scene. Numerous methods with this goal have been developed based on thin lens models for the plenoptic camera's main lens and microlenses....
1704.01992
Shirin Jalali
Sajjad Beygi, Shirin Jalali, Arian Maleki, Urbashi Mitra
An efficient algorithm for compression-based compressed sensing
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Modern image and video compression codes employ elaborate structures existing in such signals to encode them into few number of bits. Compressed sensing recovery algorithms on the other hand use such signals' structures to recover them from few linear observations. Despite the steady progress in the field of compress...
[ { "created": "Thu, 6 Apr 2017 19:23:08 GMT", "version": "v1" } ]
2017-04-10
[ [ "Beygi", "Sajjad", "" ], [ "Jalali", "Shirin", "" ], [ "Maleki", "Arian", "" ], [ "Mitra", "Urbashi", "" ] ]
Modern image and video compression codes employ elaborate structures existing in such signals to encode them into few number of bits. Compressed sensing recovery algorithms on the other hand use such signals' structures to recover them from few linear observations. Despite the steady progress in the field of compressed...
2010.03680
Yaqing Wang
Yaqing Wang, Subhabrata Mukherjee, Haoda Chu, Yuancheng Tu, Ming Wu, Jing Gao, Ahmed Hassan Awadallah
Adaptive Self-training for Few-shot Neural Sequence Labeling
null
null
null
null
cs.CL cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sequence labeling is an important technique employed for many Natural Language Processing (NLP) tasks, such as Named Entity Recognition (NER), slot tagging for dialog systems and semantic parsing. Large-scale pre-trained language models obtain very good performance on these tasks when fine-tuned on large amounts of t...
[ { "created": "Wed, 7 Oct 2020 22:29:05 GMT", "version": "v1" }, { "created": "Fri, 11 Dec 2020 17:16:57 GMT", "version": "v2" } ]
2020-12-14
[ [ "Wang", "Yaqing", "" ], [ "Mukherjee", "Subhabrata", "" ], [ "Chu", "Haoda", "" ], [ "Tu", "Yuancheng", "" ], [ "Wu", "Ming", "" ], [ "Gao", "Jing", "" ], [ "Awadallah", "Ahmed Hassan", "" ] ]
Sequence labeling is an important technique employed for many Natural Language Processing (NLP) tasks, such as Named Entity Recognition (NER), slot tagging for dialog systems and semantic parsing. Large-scale pre-trained language models obtain very good performance on these tasks when fine-tuned on large amounts of tas...