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2202.11940
Soumyabrata Pal
Arya Mazumdar, Soumyabrata Pal
Support Recovery in Mixture Models with Sparse Parameters
55 pages, Shorter version titled "On Learning Mixture Models with Sparse Parameters " accepted at AISTATS 2022
null
null
null
cs.LG cs.IT math.IT stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Mixture models are widely used to fit complex and multimodal datasets. In this paper we study mixtures with high dimensional sparse latent parameter vectors and consider the problem of support recovery of those vectors. While parameter learning in mixture models is well-studied, the sparsity constraint remains relati...
[ { "created": "Thu, 24 Feb 2022 07:44:23 GMT", "version": "v1" }, { "created": "Sat, 10 Sep 2022 10:24:47 GMT", "version": "v2" } ]
2022-09-13
[ [ "Mazumdar", "Arya", "" ], [ "Pal", "Soumyabrata", "" ] ]
Mixture models are widely used to fit complex and multimodal datasets. In this paper we study mixtures with high dimensional sparse latent parameter vectors and consider the problem of support recovery of those vectors. While parameter learning in mixture models is well-studied, the sparsity constraint remains relative...
1612.09394
Kwonsoo Chae
Kwonsoo Chae and Hakjoo Oh and Kihong Heo and Hongseok Yang
Automatically generating features for learning program analysis heuristics
null
null
null
null
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a technique for automatically generating features for data-driven program analyses. Recently data-driven approaches for building a program analysis have been proposed, which mine existing codebases and automatically learn heuristics for finding a cost-effective abstraction for a given analysis task. Such a...
[ { "created": "Fri, 30 Dec 2016 05:55:56 GMT", "version": "v1" } ]
2017-01-02
[ [ "Chae", "Kwonsoo", "" ], [ "Oh", "Hakjoo", "" ], [ "Heo", "Kihong", "" ], [ "Yang", "Hongseok", "" ] ]
We present a technique for automatically generating features for data-driven program analyses. Recently data-driven approaches for building a program analysis have been proposed, which mine existing codebases and automatically learn heuristics for finding a cost-effective abstraction for a given analysis task. Such app...
2009.10047
Congcong Wang
Congcong Wang and David Lillis
UCD-CS at W-NUT 2020 Shared Task-3: A Text to Text Approach for COVID-19 Event Extraction on Social Media
8 pages, 2 figures
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
In this paper, we describe our approach in the shared task: COVID-19 event extraction from Twitter. The objective of this task is to extract answers from COVID-related tweets to a set of predefined slot-filling questions. Our approach treats the event extraction task as a question answering task by leveraging the tra...
[ { "created": "Mon, 21 Sep 2020 17:39:00 GMT", "version": "v1" }, { "created": "Mon, 12 Oct 2020 16:18:53 GMT", "version": "v2" } ]
2021-02-19
[ [ "Wang", "Congcong", "" ], [ "Lillis", "David", "" ] ]
In this paper, we describe our approach in the shared task: COVID-19 event extraction from Twitter. The objective of this task is to extract answers from COVID-related tweets to a set of predefined slot-filling questions. Our approach treats the event extraction task as a question answering task by leveraging the trans...
1702.08300
Merim Dzaferagic
Merim Dzaferagic, Nicholas Kaminski, Irene Macaluso, Nicola Marchetti
How Functional Complexity affects the Scalability-Energy Efficiency Trade-Off of HCC WSN Clustering
arXiv admin note: substantial text overlap with arXiv:1610.05970
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Even though clustering algorithms in Wireless Sensor Networks (WSN) are a well investigate subject, the increasing interest in the Internet of Things (IoT) and 5G technologies has precipitated the need of new ways to comprehend and overcome a new set of challenges. While studies mainly propose new algorithms and comp...
[ { "created": "Mon, 27 Feb 2017 14:28:26 GMT", "version": "v1" } ]
2017-02-28
[ [ "Dzaferagic", "Merim", "" ], [ "Kaminski", "Nicholas", "" ], [ "Macaluso", "Irene", "" ], [ "Marchetti", "Nicola", "" ] ]
Even though clustering algorithms in Wireless Sensor Networks (WSN) are a well investigate subject, the increasing interest in the Internet of Things (IoT) and 5G technologies has precipitated the need of new ways to comprehend and overcome a new set of challenges. While studies mainly propose new algorithms and compar...
1802.03064
Dirk Pfl\"uger
Markus K\"oppel and Fabian Franzelin and Ilja Kr\"oker and Sergey Oladyshkin and Gabriele Santin and Dominik Wittwar and Andrea Barth and Bernard Haasdonk and Wolfgang Nowak and Dirk Pfl\"uger and Christian Rohde
Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario
null
null
10.1007/s10596-018-9785-x
null
cs.CE cs.NA math.NA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A variety of methods is available to quantify uncertainties arising with\-in the modeling of flow and transport in carbon dioxide storage, but there is a lack of thorough comparisons. Usually, raw data from such storage sites can hardly be described by theoretical statistical distributions since only very limited dat...
[ { "created": "Thu, 8 Feb 2018 22:27:38 GMT", "version": "v1" } ]
2018-11-13
[ [ "Köppel", "Markus", "" ], [ "Franzelin", "Fabian", "" ], [ "Kröker", "Ilja", "" ], [ "Oladyshkin", "Sergey", "" ], [ "Santin", "Gabriele", "" ], [ "Wittwar", "Dominik", "" ], [ "Barth", "Andrea", "" ], ...
A variety of methods is available to quantify uncertainties arising with\-in the modeling of flow and transport in carbon dioxide storage, but there is a lack of thorough comparisons. Usually, raw data from such storage sites can hardly be described by theoretical statistical distributions since only very limited data ...
1904.03122
Stefan Larson
Stefan Larson, Anish Mahendran, Andrew Lee, Jonathan K. Kummerfeld, Parker Hill, Michael A. Laurenzano, Johann Hauswald, Lingjia Tang, Jason Mars
Outlier Detection for Improved Data Quality and Diversity in Dialog Systems
Accepted as long paper to NAACL 2019
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In a corpus of data, outliers are either errors: mistakes in the data that are counterproductive, or are unique: informative samples that improve model robustness. Identifying outliers can lead to better datasets by (1) removing noise in datasets and (2) guiding collection of additional data to fill gaps. However, th...
[ { "created": "Fri, 5 Apr 2019 15:31:28 GMT", "version": "v1" } ]
2019-04-08
[ [ "Larson", "Stefan", "" ], [ "Mahendran", "Anish", "" ], [ "Lee", "Andrew", "" ], [ "Kummerfeld", "Jonathan K.", "" ], [ "Hill", "Parker", "" ], [ "Laurenzano", "Michael A.", "" ], [ "Hauswald", "Johann", ""...
In a corpus of data, outliers are either errors: mistakes in the data that are counterproductive, or are unique: informative samples that improve model robustness. Identifying outliers can lead to better datasets by (1) removing noise in datasets and (2) guiding collection of additional data to fill gaps. However, the ...
0912.3429
Pietro Sala Mr.
A. Montanari, G. Puppis, P. Sala, G. Sciavicco
Decidability of the interval temporal logic ABBar over the natural numbers
null
null
null
null
cs.LO
http://creativecommons.org/licenses/by/3.0/
In this paper, we focus our attention on the interval temporal logic of the Allen's relations "meets", "begins", and "begun by" (ABBar for short), interpreted over natural numbers. We first introduce the logic and we show that it is expressive enough to model distinctive interval properties,such as accomplishment con...
[ { "created": "Thu, 17 Dec 2009 15:22:45 GMT", "version": "v1" }, { "created": "Wed, 3 Feb 2010 13:40:37 GMT", "version": "v2" } ]
2010-02-03
[ [ "Montanari", "A.", "" ], [ "Puppis", "G.", "" ], [ "Sala", "P.", "" ], [ "Sciavicco", "G.", "" ] ]
In this paper, we focus our attention on the interval temporal logic of the Allen's relations "meets", "begins", and "begun by" (ABBar for short), interpreted over natural numbers. We first introduce the logic and we show that it is expressive enough to model distinctive interval properties,such as accomplishment condi...
2404.00801
Ye Liu
Ye Liu, Jixuan He, Wanhua Li, Junsik Kim, Donglai Wei, Hanspeter Pfister, Chang Wen Chen
$R^2$-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding
ECCV 2024 Camera Ready
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Video temporal grounding (VTG) is a fine-grained video understanding problem that aims to ground relevant clips in untrimmed videos given natural language queries. Most existing VTG models are built upon frame-wise final-layer CLIP features, aided by additional temporal backbones (e.g., SlowFast) with sophisticated t...
[ { "created": "Sun, 31 Mar 2024 21:17:48 GMT", "version": "v1" }, { "created": "Sun, 21 Jul 2024 16:17:07 GMT", "version": "v2" } ]
2024-07-23
[ [ "Liu", "Ye", "" ], [ "He", "Jixuan", "" ], [ "Li", "Wanhua", "" ], [ "Kim", "Junsik", "" ], [ "Wei", "Donglai", "" ], [ "Pfister", "Hanspeter", "" ], [ "Chen", "Chang Wen", "" ] ]
Video temporal grounding (VTG) is a fine-grained video understanding problem that aims to ground relevant clips in untrimmed videos given natural language queries. Most existing VTG models are built upon frame-wise final-layer CLIP features, aided by additional temporal backbones (e.g., SlowFast) with sophisticated tem...
1509.07513
Marco Antonio Valenzuela Esc\'arcega
Marco A. Valenzuela-Esc\'arcega, Gus Hahn-Powell, Mihai Surdeanu
Description of the Odin Event Extraction Framework and Rule Language
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This document describes the Odin framework, which is a domain-independent platform for developing rule-based event extraction models. Odin aims to be powerful (the rule language allows the modeling of complex syntactic structures) and robust (to recover from syntactic parsing errors, syntactic patterns can be freely ...
[ { "created": "Thu, 24 Sep 2015 20:10:27 GMT", "version": "v1" } ]
2015-09-28
[ [ "Valenzuela-Escárcega", "Marco A.", "" ], [ "Hahn-Powell", "Gus", "" ], [ "Surdeanu", "Mihai", "" ] ]
This document describes the Odin framework, which is a domain-independent platform for developing rule-based event extraction models. Odin aims to be powerful (the rule language allows the modeling of complex syntactic structures) and robust (to recover from syntactic parsing errors, syntactic patterns can be freely mi...
2110.14124
Wang Chen
Wang Chen, Jian Chen, Weitian Wu, Xinmin Yang, Hui Li
A novel multiobjective evolutionary algorithm based on decomposition and multi-reference points strategy
null
null
null
null
cs.NE math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Many real-world optimization problems such as engineering design can be eventually modeled as the corresponding multiobjective optimization problems (MOPs) which must be solved to obtain approximate Pareto optimal fronts. Multiobjective evolutionary algorithm based on decomposition (MOEA/D) has been regarded as a sig...
[ { "created": "Wed, 27 Oct 2021 02:07:08 GMT", "version": "v1" }, { "created": "Mon, 1 Nov 2021 13:31:17 GMT", "version": "v2" }, { "created": "Tue, 2 Nov 2021 07:01:08 GMT", "version": "v3" }, { "created": "Wed, 3 Nov 2021 11:03:40 GMT", "version": "v4" }, { "crea...
2021-11-12
[ [ "Chen", "Wang", "" ], [ "Chen", "Jian", "" ], [ "Wu", "Weitian", "" ], [ "Yang", "Xinmin", "" ], [ "Li", "Hui", "" ] ]
Many real-world optimization problems such as engineering design can be eventually modeled as the corresponding multiobjective optimization problems (MOPs) which must be solved to obtain approximate Pareto optimal fronts. Multiobjective evolutionary algorithm based on decomposition (MOEA/D) has been regarded as a signi...
2202.11460
Pavel Hrab\'ak
Hana Najmanov\'a and Veronika Pe\v{s}kov\'a and Luk\'a\v{s} Kukl\'ik and Marek Buk\'a\v{c}ek and Pavel Hrab\'ak and Daniel Va\v{s}ata
Evacuation trials from a double-deck electric train unit: Experimental data and sensitivity analysis
null
Safety Science, Volume 146, 2022, 105523, ISSN 0925-7535
10.1016/j.ssci.2021.105523
null
cs.MA physics.soc-ph
http://creativecommons.org/licenses/by-nc-nd/4.0/
Passenger trains represent a challenging environment in emergencies, with specific evacuation conditions resulting from the typical layout and interior design inherent to public transportation vehicles. This paper describes a dataset obtained in a full-scale controlled experiment emulating the emergency evacuation of...
[ { "created": "Wed, 23 Feb 2022 12:25:06 GMT", "version": "v1" } ]
2022-02-24
[ [ "Najmanová", "Hana", "" ], [ "Pešková", "Veronika", "" ], [ "Kuklík", "Lukáš", "" ], [ "Bukáček", "Marek", "" ], [ "Hrabák", "Pavel", "" ], [ "Vašata", "Daniel", "" ] ]
Passenger trains represent a challenging environment in emergencies, with specific evacuation conditions resulting from the typical layout and interior design inherent to public transportation vehicles. This paper describes a dataset obtained in a full-scale controlled experiment emulating the emergency evacuation of a...
2401.11697
Sundar Narayanan
Sundaraparipurnan Narayanan, Mark Potkewitz
A risk-based approach to assessing liability risk for AI-driven harms considering EU liability directive
null
null
null
null
cs.CY
http://creativecommons.org/licenses/by/4.0/
Artificial intelligence can cause inconvenience, harm, or other unintended consequences in various ways, including those that arise from defects or malfunctions in the AI system itself or those caused by its use or misuse. Responsibility for AI harms or unintended consequences must be addressed to hold accountable th...
[ { "created": "Mon, 18 Dec 2023 15:52:43 GMT", "version": "v1" } ]
2024-01-23
[ [ "Narayanan", "Sundaraparipurnan", "" ], [ "Potkewitz", "Mark", "" ] ]
Artificial intelligence can cause inconvenience, harm, or other unintended consequences in various ways, including those that arise from defects or malfunctions in the AI system itself or those caused by its use or misuse. Responsibility for AI harms or unintended consequences must be addressed to hold accountable the ...
2405.00181
Binzhu Xie
Hang Du, Sicheng Zhang, Binzhu Xie, Guoshun Nan, Jiayang Zhang, Junrui Xu, Hangyu Liu, Sicong Leng, Jiangming Liu, Hehe Fan, Dajiu Huang, Jing Feng, Linli Chen, Can Zhang, Xuhuan Li, Hao Zhang, Jianhang Chen, Qimei Cui, Xiaofeng Tao
Uncovering What, Why and How: A Comprehensive Benchmark for Causation Understanding of Video Anomaly
Accepted in CVPR2024, Codebase: https://github.com/fesvhtr/CUVA
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by-nc-sa/4.0/
Video anomaly understanding (VAU) aims to automatically comprehend unusual occurrences in videos, thereby enabling various applications such as traffic surveillance and industrial manufacturing. While existing VAU benchmarks primarily concentrate on anomaly detection and localization, our focus is on more practicalit...
[ { "created": "Tue, 30 Apr 2024 20:11:49 GMT", "version": "v1" }, { "created": "Mon, 6 May 2024 14:57:50 GMT", "version": "v2" } ]
2024-05-07
[ [ "Du", "Hang", "" ], [ "Zhang", "Sicheng", "" ], [ "Xie", "Binzhu", "" ], [ "Nan", "Guoshun", "" ], [ "Zhang", "Jiayang", "" ], [ "Xu", "Junrui", "" ], [ "Liu", "Hangyu", "" ], [ "Leng", "Sicong"...
Video anomaly understanding (VAU) aims to automatically comprehend unusual occurrences in videos, thereby enabling various applications such as traffic surveillance and industrial manufacturing. While existing VAU benchmarks primarily concentrate on anomaly detection and localization, our focus is on more practicality,...
2008.02146
Santosh Vempala
He Jia, Aditi Laddha, Yin Tat Lee, Santosh S. Vempala
Reducing Isotropy and Volume to KLS: An $O(n^3\psi^2)$ Volume Algorithm
23 pages, 1 figure; updated with current KLS bound and resulting complexity
null
null
null
cs.DS cs.CC math.FA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We show that the volume of a convex body in ${\bf R}^{n}$ in the general membership oracle model can be computed to within relative error $\varepsilon$ using $\widetilde{O}(n^{3}\psi^{2} + n^{3}/\varepsilon^{2})$ oracle queries, where $\psi$ is the KLS constant. With the current bound of $\psi=\widetilde{O}(1)$, this...
[ { "created": "Wed, 5 Aug 2020 14:08:16 GMT", "version": "v1" }, { "created": "Sat, 3 Sep 2022 11:18:21 GMT", "version": "v2" } ]
2022-09-07
[ [ "Jia", "He", "" ], [ "Laddha", "Aditi", "" ], [ "Lee", "Yin Tat", "" ], [ "Vempala", "Santosh S.", "" ] ]
We show that the volume of a convex body in ${\bf R}^{n}$ in the general membership oracle model can be computed to within relative error $\varepsilon$ using $\widetilde{O}(n^{3}\psi^{2} + n^{3}/\varepsilon^{2})$ oracle queries, where $\psi$ is the KLS constant. With the current bound of $\psi=\widetilde{O}(1)$, this g...
2406.18310
Jie Liu
Wenting Chen, Jie Liu, Tommy W.S. Chow, Yixuan Yuan
Spatial-temporal Hierarchical Reinforcement Learning for Interpretable Pathology Image Super-Resolution
Accepted to IEEE TRANSACTIONS ON MEDICAL IMAGING (TMI)
null
null
null
cs.CV cs.LG eess.IV
http://creativecommons.org/licenses/by/4.0/
Pathology image are essential for accurately interpreting lesion cells in cytopathology screening, but acquiring high-resolution digital slides requires specialized equipment and long scanning times. Though super-resolution (SR) techniques can alleviate this problem, existing deep learning models recover pathology im...
[ { "created": "Wed, 26 Jun 2024 12:50:10 GMT", "version": "v1" } ]
2024-06-27
[ [ "Chen", "Wenting", "" ], [ "Liu", "Jie", "" ], [ "Chow", "Tommy W. S.", "" ], [ "Yuan", "Yixuan", "" ] ]
Pathology image are essential for accurately interpreting lesion cells in cytopathology screening, but acquiring high-resolution digital slides requires specialized equipment and long scanning times. Though super-resolution (SR) techniques can alleviate this problem, existing deep learning models recover pathology imag...
2404.08472
Emadeldeen Eldele
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Xiaoli Li
TSLANet: Rethinking Transformers for Time Series Representation Learning
Accepted in ICML 2024
null
null
null
cs.LG stat.ML
http://creativecommons.org/licenses/by/4.0/
Time series data, characterized by its intrinsic long and short-range dependencies, poses a unique challenge across analytical applications. While Transformer-based models excel at capturing long-range dependencies, they face limitations in noise sensitivity, computational efficiency, and overfitting with smaller dat...
[ { "created": "Fri, 12 Apr 2024 13:41:29 GMT", "version": "v1" }, { "created": "Mon, 6 May 2024 04:00:17 GMT", "version": "v2" } ]
2024-05-07
[ [ "Eldele", "Emadeldeen", "" ], [ "Ragab", "Mohamed", "" ], [ "Chen", "Zhenghua", "" ], [ "Wu", "Min", "" ], [ "Li", "Xiaoli", "" ] ]
Time series data, characterized by its intrinsic long and short-range dependencies, poses a unique challenge across analytical applications. While Transformer-based models excel at capturing long-range dependencies, they face limitations in noise sensitivity, computational efficiency, and overfitting with smaller datas...
1207.4166
Trey Smith
Trey Smith, Reid Simmons
Heuristic Search Value Iteration for POMDPs
Appears in Proceedings of the Twentieth Conference on Uncertainty in Artificial Intelligence (UAI2004)
null
null
UAI-P-2004-PG-520-527
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a novel POMDP planning algorithm called heuristic search value iteration (HSVI).HSVI is an anytime algorithm that returns a policy and a provable bound on its regret with respect to the optimal policy. HSVI gets its power by combining two well-known techniques: attention-focusing search heuristics and piec...
[ { "created": "Wed, 11 Jul 2012 15:04:47 GMT", "version": "v1" } ]
2012-07-19
[ [ "Smith", "Trey", "" ], [ "Simmons", "Reid", "" ] ]
We present a novel POMDP planning algorithm called heuristic search value iteration (HSVI).HSVI is an anytime algorithm that returns a policy and a provable bound on its regret with respect to the optimal policy. HSVI gets its power by combining two well-known techniques: attention-focusing search heuristics and piecew...
2211.07738
Amanda Calatrava Arroyo
Amanda Calatrava, Hern\'an Asorey, Jan Astalos, Alberto Azevedo, Francesco Benincasa, Ignacio Blanquer, Martin Bobak, Francisco Brasileiro, Laia Cod\'o, Laura del Cano, Borja Esteban, Meritxell Ferret, Josef Handl, Tobias Kerzenmacher, Valentin Kozlov, Ale\v{s} K\v{r}enek, Ricardo Martins, Manuel Pavesio, Anton...
A survey of the European Open Science Cloud services for expanding the capacity and capabilities of multidisciplinary scientific applications
null
null
null
null
cs.DC
http://creativecommons.org/licenses/by-nc-nd/4.0/
Open Science is a paradigm in which scientific data, procedures, tools and results are shared transparently and reused by society as a whole. The initiative known as the European Open Science Cloud (EOSC) is an effort in Europe to provide an open, trusted, virtual and federated computing environment to execute scient...
[ { "created": "Mon, 14 Nov 2022 20:33:27 GMT", "version": "v1" } ]
2022-11-16
[ [ "Calatrava", "Amanda", "" ], [ "Asorey", "Hernán", "" ], [ "Astalos", "Jan", "" ], [ "Azevedo", "Alberto", "" ], [ "Benincasa", "Francesco", "" ], [ "Blanquer", "Ignacio", "" ], [ "Bobak", "Martin", "" ],...
Open Science is a paradigm in which scientific data, procedures, tools and results are shared transparently and reused by society as a whole. The initiative known as the European Open Science Cloud (EOSC) is an effort in Europe to provide an open, trusted, virtual and federated computing environment to execute scientif...
2402.00086
Wenguan Wang
Xu Zhang and Yiming Mo and Wenguan Wang and Yi Yang
Retrosynthesis prediction enhanced by in-silico reaction data augmentation
null
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent advances in machine learning (ML) have expedited retrosynthesis research by assisting chemists to design experiments more efficiently. However, all ML-based methods consume substantial amounts of paired training data (i.e., chemical reaction: product-reactant(s) pair), which is costly to obtain. Moreover, comp...
[ { "created": "Wed, 31 Jan 2024 07:40:37 GMT", "version": "v1" } ]
2024-02-02
[ [ "Zhang", "Xu", "" ], [ "Mo", "Yiming", "" ], [ "Wang", "Wenguan", "" ], [ "Yang", "Yi", "" ] ]
Recent advances in machine learning (ML) have expedited retrosynthesis research by assisting chemists to design experiments more efficiently. However, all ML-based methods consume substantial amounts of paired training data (i.e., chemical reaction: product-reactant(s) pair), which is costly to obtain. Moreover, compan...
1811.12065
Lile Cai
Lile Cai, Anne-Maelle Barneche, Arthur Herbout, Chuan Sheng Foo, Jie Lin, Vijay Ramaseshan Chandrasekhar and Mohamed M. Sabry
TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks
Accepted by ISLPED2019
null
null
null
cs.NE cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Embedded deep learning platforms have witnessed two simultaneous improvements. First, the accuracy of convolutional neural networks (CNNs) has been significantly improved through the use of automated neural-architecture search (NAS) algorithms to determine CNN structure. Second, there has been increasing interest in ...
[ { "created": "Thu, 29 Nov 2018 11:05:28 GMT", "version": "v1" }, { "created": "Mon, 21 Oct 2019 07:39:19 GMT", "version": "v2" } ]
2019-10-22
[ [ "Cai", "Lile", "" ], [ "Barneche", "Anne-Maelle", "" ], [ "Herbout", "Arthur", "" ], [ "Foo", "Chuan Sheng", "" ], [ "Lin", "Jie", "" ], [ "Chandrasekhar", "Vijay Ramaseshan", "" ], [ "Sabry", "Mohamed M.", ...
Embedded deep learning platforms have witnessed two simultaneous improvements. First, the accuracy of convolutional neural networks (CNNs) has been significantly improved through the use of automated neural-architecture search (NAS) algorithms to determine CNN structure. Second, there has been increasing interest in de...
1212.3540
Dima Kagan
Yehonatan Bitton, Michael Fire, Dima Kagan, Bracha Shapira, Lior Rokach, Judit Bar-Ilan
Social Network Based Search for Experts
Participated in HCIR 2012
null
null
null
cs.SI cs.HC cs.IR physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Our system illustrates how information retrieved from social networks can be used for suggesting experts for specific tasks. The system is designed to facilitate the task of finding the appropriate person(s) for a job, as a conference committee member, an advisor, etc. This short description will demonstrate how the ...
[ { "created": "Fri, 14 Dec 2012 17:35:31 GMT", "version": "v1" } ]
2012-12-17
[ [ "Bitton", "Yehonatan", "" ], [ "Fire", "Michael", "" ], [ "Kagan", "Dima", "" ], [ "Shapira", "Bracha", "" ], [ "Rokach", "Lior", "" ], [ "Bar-Ilan", "Judit", "" ] ]
Our system illustrates how information retrieved from social networks can be used for suggesting experts for specific tasks. The system is designed to facilitate the task of finding the appropriate person(s) for a job, as a conference committee member, an advisor, etc. This short description will demonstrate how the sy...
2304.01472
Xinru Zhang
Xinru Zhang, Ni Ou, Chenghao Liu, Zhizheng Zhuo, Yaou Liu, and Chuyang Ye
Unsupervised Brain Tumor Segmentation with Image-based Prompts
Currently under review (from November 14th, 2022 until now)
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Automated brain tumor segmentation based on deep learning (DL) has achieved promising performance. However, it generally relies on annotated images for model training, which is not always feasible in clinical settings. Therefore, the development of unsupervised DL-based brain tumor segmentation approaches without exp...
[ { "created": "Tue, 4 Apr 2023 02:28:25 GMT", "version": "v1" } ]
2023-04-05
[ [ "Zhang", "Xinru", "" ], [ "Ou", "Ni", "" ], [ "Liu", "Chenghao", "" ], [ "Zhuo", "Zhizheng", "" ], [ "Liu", "Yaou", "" ], [ "Ye", "Chuyang", "" ] ]
Automated brain tumor segmentation based on deep learning (DL) has achieved promising performance. However, it generally relies on annotated images for model training, which is not always feasible in clinical settings. Therefore, the development of unsupervised DL-based brain tumor segmentation approaches without exper...
1306.4755
Chen Gong
Shuying Li, Chen Gong, Xiaodong Wang
Hybrid Group Decoding for Scalable Video over MIMO-OFDM Downlink Systems
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a scalable video broadcasting scheme over MIMO-OFDM systems. The scalable video source layers are channel encoded and modulated into independent signal streams, which are then transmitted from the allocated antennas in certain time-frequency blocks. Each receiver employs the successive group decoder to dec...
[ { "created": "Thu, 20 Jun 2013 05:12:41 GMT", "version": "v1" } ]
2013-06-21
[ [ "Li", "Shuying", "" ], [ "Gong", "Chen", "" ], [ "Wang", "Xiaodong", "" ] ]
We propose a scalable video broadcasting scheme over MIMO-OFDM systems. The scalable video source layers are channel encoded and modulated into independent signal streams, which are then transmitted from the allocated antennas in certain time-frequency blocks. Each receiver employs the successive group decoder to decod...
1712.01126
Huimiao Chen
Yinghao Jia, Yide Zhao, Ziyang Guo, Yu Xin, Huimiao Chen
Optimizing Electric Taxi Charging System: A Data-Driven Approach from Transport Energy Supply Chain Perspective
null
null
null
null
cs.SY math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the last decade, the development of electric taxis has motivated rapidly growing research interest in efficiently allocating electric charging stations in the academic literature. To address the driving pattern of electric taxis, we introduce the perspective of transport energy supply chain to capture the charging...
[ { "created": "Mon, 4 Dec 2017 14:56:32 GMT", "version": "v1" } ]
2017-12-05
[ [ "Jia", "Yinghao", "" ], [ "Zhao", "Yide", "" ], [ "Guo", "Ziyang", "" ], [ "Xin", "Yu", "" ], [ "Chen", "Huimiao", "" ] ]
In the last decade, the development of electric taxis has motivated rapidly growing research interest in efficiently allocating electric charging stations in the academic literature. To address the driving pattern of electric taxis, we introduce the perspective of transport energy supply chain to capture the charging d...
1507.07815
Svebor Karaman
Giuseppe Lisanti and Svebor Karaman and Daniele Pezzatini and Alberto Del Bimbo
A Multi-Camera Image Processing and Visualization System for Train Safety Assessment
11 pages
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we present a machine vision system to efficiently monitor, analyze and present visual data acquired with a railway overhead gantry equipped with multiple cameras. This solution aims to improve the safety of daily life railway transportation in a two- fold manner: (1) by providing automatic algorithms th...
[ { "created": "Tue, 28 Jul 2015 15:36:24 GMT", "version": "v1" } ]
2015-07-29
[ [ "Lisanti", "Giuseppe", "" ], [ "Karaman", "Svebor", "" ], [ "Pezzatini", "Daniele", "" ], [ "Del Bimbo", "Alberto", "" ] ]
In this paper we present a machine vision system to efficiently monitor, analyze and present visual data acquired with a railway overhead gantry equipped with multiple cameras. This solution aims to improve the safety of daily life railway transportation in a two- fold manner: (1) by providing automatic algorithms that...
2201.05297
Hanting Li
Hanting Li, Mingzhe Sui, Zhaoqing Zhu, Feng Zhao
MMNet: Muscle motion-guided network for micro-expression recognition
8 pages, 4 figures
Proc. 31st Int'l Joint Conf. Artificial Intelligence (IJCAI), 2022
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Facial micro-expressions (MEs) are involuntary facial motions revealing peoples real feelings and play an important role in the early intervention of mental illness, the national security, and many human-computer interaction systems. However, existing micro-expression datasets are limited and usually pose some challe...
[ { "created": "Fri, 14 Jan 2022 04:05:49 GMT", "version": "v1" }, { "created": "Fri, 19 Aug 2022 11:24:19 GMT", "version": "v2" } ]
2022-08-22
[ [ "Li", "Hanting", "" ], [ "Sui", "Mingzhe", "" ], [ "Zhu", "Zhaoqing", "" ], [ "Zhao", "Feng", "" ] ]
Facial micro-expressions (MEs) are involuntary facial motions revealing peoples real feelings and play an important role in the early intervention of mental illness, the national security, and many human-computer interaction systems. However, existing micro-expression datasets are limited and usually pose some challeng...
2211.10202
Zhengmao He
Zhengmao He, Bin Zhao
Some problems about co-consonance of topological spaces
null
null
null
null
cs.LO math.GN
http://creativecommons.org/licenses/by/4.0/
In this paper, we first prove that the retract of a consonant space (or co-consonant space) is consonant (co-consonant). Using this result, some related results have obtained. Simultaneously, we proved that (1) the co-consonance of the Smyth powerspace implies the co-consonance of a topological space under a necessar...
[ { "created": "Fri, 18 Nov 2022 12:47:18 GMT", "version": "v1" }, { "created": "Wed, 30 Nov 2022 09:19:22 GMT", "version": "v2" } ]
2022-12-01
[ [ "He", "Zhengmao", "" ], [ "Zhao", "Bin", "" ] ]
In this paper, we first prove that the retract of a consonant space (or co-consonant space) is consonant (co-consonant). Using this result, some related results have obtained. Simultaneously, we proved that (1) the co-consonance of the Smyth powerspace implies the co-consonance of a topological space under a necessary ...
2201.00434
Hanyuan Wang
Hanyuan Wang, Dima Damen, Majid Mirmehdi and Toby Perrett
TVNet: Temporal Voting Network for Action Localization
9 pages, 7 figures, 11 tables
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a Temporal Voting Network (TVNet) for action localization in untrimmed videos. This incorporates a novel Voting Evidence Module to locate temporal boundaries, more accurately, where temporal contextual evidence is accumulated to predict frame-level probabilities of start and end action boundaries. Our acti...
[ { "created": "Sun, 2 Jan 2022 23:46:18 GMT", "version": "v1" } ]
2022-01-04
[ [ "Wang", "Hanyuan", "" ], [ "Damen", "Dima", "" ], [ "Mirmehdi", "Majid", "" ], [ "Perrett", "Toby", "" ] ]
We propose a Temporal Voting Network (TVNet) for action localization in untrimmed videos. This incorporates a novel Voting Evidence Module to locate temporal boundaries, more accurately, where temporal contextual evidence is accumulated to predict frame-level probabilities of start and end action boundaries. Our action...
2005.05743
Ertan Kaz{\i}kl{\i}
Ertan Kaz{\i}kl{\i}, Sinan Gezici and Serdar Y\"uksel
Quadratic Privacy-Signaling Games and the MMSE Information Bottleneck Problem for Gaussian Sources
16 pages, 6 figures
null
null
null
cs.IT math.IT math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We investigate a privacy-signaling game problem in which a sender with privacy concerns observes a pair of correlated random vectors which are modeled as jointly Gaussian. The sender aims to hide one of these random vectors and convey the other one whereas the objective of the receiver is to accurately estimate both ...
[ { "created": "Tue, 12 May 2020 13:16:05 GMT", "version": "v1" }, { "created": "Fri, 10 Jul 2020 20:44:16 GMT", "version": "v2" }, { "created": "Fri, 4 Mar 2022 22:14:52 GMT", "version": "v3" } ]
2022-03-08
[ [ "Kazıklı", "Ertan", "" ], [ "Gezici", "Sinan", "" ], [ "Yüksel", "Serdar", "" ] ]
We investigate a privacy-signaling game problem in which a sender with privacy concerns observes a pair of correlated random vectors which are modeled as jointly Gaussian. The sender aims to hide one of these random vectors and convey the other one whereas the objective of the receiver is to accurately estimate both of...
2206.06117
Steve Mathew
Steve Mathew D A
Optimizing musical chord inversions using the cartesian coordinate system
9 pages, 5 tables
null
null
null
cs.SD eess.AS
http://creativecommons.org/licenses/by/4.0/
In classical music and in any genre of contemporary music, the tonal elements or notes used for playing are the same. The numerous possibilities of chords for a given instance in a piece make the playing, in general, very intricate, and advanced. The theory sounds quite trivial, yet the application has vast options, ...
[ { "created": "Fri, 10 Jun 2022 14:48:30 GMT", "version": "v1" } ]
2022-06-14
[ [ "A", "Steve Mathew D", "" ] ]
In classical music and in any genre of contemporary music, the tonal elements or notes used for playing are the same. The numerous possibilities of chords for a given instance in a piece make the playing, in general, very intricate, and advanced. The theory sounds quite trivial, yet the application has vast options, ea...
0810.0558
Ashish Goel
Ashish Goel, Sanjeev Khanna, Brad Null
The Ratio Index for Budgeted Learning, with Applications
This paper has a substantial bug that we are trying to fix. Many thanks to Joe Halpern for pointing this bug out. Please do not cite in the meantime. Please let us know if you would like to understand and/or try to fix the bug
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the budgeted learning problem, we are allowed to experiment on a set of alternatives (given a fixed experimentation budget) with the goal of picking a single alternative with the largest possible expected payoff. Approximation algorithms for this problem were developed by Guha and Munagala by rounding a linear pro...
[ { "created": "Fri, 3 Oct 2008 01:37:45 GMT", "version": "v1" }, { "created": "Mon, 11 Apr 2016 18:47:16 GMT", "version": "v2" } ]
2016-04-12
[ [ "Goel", "Ashish", "" ], [ "Khanna", "Sanjeev", "" ], [ "Null", "Brad", "" ] ]
In the budgeted learning problem, we are allowed to experiment on a set of alternatives (given a fixed experimentation budget) with the goal of picking a single alternative with the largest possible expected payoff. Approximation algorithms for this problem were developed by Guha and Munagala by rounding a linear progr...
1103.1001
Xinhua Wang
Xinhua Wang, Hai Lin
Two-step differentiator for delayed signal
12 pages, 10 figures
null
null
null
cs.SY math.DS math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a high-order differentiator for delayed measurement signal. The proposed differentiator not only can correct the delay in signal, but aslo can estimate the undelayed derivatives. The differentiator consists of two-step algorithms with the delayed time instant. Conditions are given ensuring converg...
[ { "created": "Sat, 5 Mar 2011 03:19:52 GMT", "version": "v1" } ]
2011-03-08
[ [ "Wang", "Xinhua", "" ], [ "Lin", "Hai", "" ] ]
This paper presents a high-order differentiator for delayed measurement signal. The proposed differentiator not only can correct the delay in signal, but aslo can estimate the undelayed derivatives. The differentiator consists of two-step algorithms with the delayed time instant. Conditions are given ensuring convergen...
1408.2293
Hugh Kennedy Dr.
Hugh L. Kennedy
Direct Digital Design of Loop-Shaping Filters for Sampled Control Systems
In addition to the brief journal paper (see v3 comments), this paper was split into 2 conference papers: "Numerical Derivation of Fading-Memory Polynomial and Sinusoidal Filters for Discrete-Time Control Systems" and "Application of Fading-Memory Polynomial Filters to the Control of an Electric Motor", to appea...
null
null
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A controller design technique for shaping the frequency response of a process is described. A general linear model (GLM) is used to define the form of a lag or lead compensator in discrete time using a prescribed set of basis functions. The model is then transformed via the complex z-domain into a difference equation...
[ { "created": "Mon, 11 Aug 2014 01:45:41 GMT", "version": "v1" }, { "created": "Thu, 20 Nov 2014 02:38:26 GMT", "version": "v2" }, { "created": "Mon, 19 Jan 2015 22:42:53 GMT", "version": "v3" }, { "created": "Sat, 18 Jul 2015 01:22:01 GMT", "version": "v4" } ]
2015-07-21
[ [ "Kennedy", "Hugh L.", "" ] ]
A controller design technique for shaping the frequency response of a process is described. A general linear model (GLM) is used to define the form of a lag or lead compensator in discrete time using a prescribed set of basis functions. The model is then transformed via the complex z-domain into a difference equation f...
2307.14199
Masoume Kazemi
Masoume Kazemi, Davood Moradkhani, Alireza Abbas Alipour
Application of Random Forest and Support Vector Machine for Investigation of Pressure Filtration Performance, a Zinc Plant Filter Cake Modeling
null
null
null
null
cs.LG
http://creativecommons.org/publicdomain/zero/1.0/
The hydrometallurgical method of zinc production involves leaching zinc from ore and then separating the solid residue from the liquid solution by pressure filtration. This separation process is very important since the solid residue contains some moisture that can reduce the amount of zinc recovered. This study mode...
[ { "created": "Wed, 26 Jul 2023 13:52:53 GMT", "version": "v1" } ]
2023-07-27
[ [ "Kazemi", "Masoume", "" ], [ "Moradkhani", "Davood", "" ], [ "Alipour", "Alireza Abbas", "" ] ]
The hydrometallurgical method of zinc production involves leaching zinc from ore and then separating the solid residue from the liquid solution by pressure filtration. This separation process is very important since the solid residue contains some moisture that can reduce the amount of zinc recovered. This study modele...
2310.02583
Seyed Mirvakili
Seyed Mo Mirvakili, Ehsan Haghighat, Douglas Sim
Machine Learning-Enabled Precision Position Control and Thermal Regulation in Advanced Thermal Actuators
null
null
null
null
cs.RO cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With their unique combination of characteristics - an energy density almost 100 times that of human muscle, and a power density of 5.3 kW/kg, similar to a jet engine's output - Nylon artificial muscles stand out as particularly apt for robotics applications. However, the necessity of integrating sensors and controlle...
[ { "created": "Wed, 4 Oct 2023 05:01:47 GMT", "version": "v1" } ]
2023-10-05
[ [ "Mirvakili", "Seyed Mo", "" ], [ "Haghighat", "Ehsan", "" ], [ "Sim", "Douglas", "" ] ]
With their unique combination of characteristics - an energy density almost 100 times that of human muscle, and a power density of 5.3 kW/kg, similar to a jet engine's output - Nylon artificial muscles stand out as particularly apt for robotics applications. However, the necessity of integrating sensors and controllers...
2002.05538
Jakkepalli Pavan Kumar
Jakkepalli Pavan Kumar and P. Venkata Subba Reddy
Algorithmic Complexity of Isolate Secure Domination in Graphs
arXiv admin note: substantial text overlap with arXiv:2002.00002; text overlap with arXiv:2001.11250
null
null
null
cs.DM cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A dominating set $S$ is an Isolate Dominating Set (IDS) if the induced subgraph $G[S]$ has at least one isolated vertex. In this paper, we initiate the study of new domination parameter called, isolate secure domination. An isolate dominating set $S\subseteq V$ is an isolate secure dominating set (ISDS), if for each ...
[ { "created": "Wed, 12 Feb 2020 07:42:51 GMT", "version": "v1" } ]
2020-02-14
[ [ "Kumar", "Jakkepalli Pavan", "" ], [ "Reddy", "P. Venkata Subba", "" ] ]
A dominating set $S$ is an Isolate Dominating Set (IDS) if the induced subgraph $G[S]$ has at least one isolated vertex. In this paper, we initiate the study of new domination parameter called, isolate secure domination. An isolate dominating set $S\subseteq V$ is an isolate secure dominating set (ISDS), if for each ve...
2206.12343
Robin Haunschild
Lutz Bornmann and Robin Haunschild
Identification of young talented individuals in the natural and life sciences using bibliometric data
7 pages, 3 tables, to be presented at STI 2022
null
10.1016/j.joi.2023.101394
null
cs.DL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Identification of young talented individuals is not an easy task. Citation-based data usually need too long to accrue. In this study, we proposed a method based on bibliometric data for the identification of young talented individuals. Three different indicators and their combinations were used. An older cohort with ...
[ { "created": "Fri, 24 Jun 2022 15:28:03 GMT", "version": "v1" } ]
2024-08-12
[ [ "Bornmann", "Lutz", "" ], [ "Haunschild", "Robin", "" ] ]
Identification of young talented individuals is not an easy task. Citation-based data usually need too long to accrue. In this study, we proposed a method based on bibliometric data for the identification of young talented individuals. Three different indicators and their combinations were used. An older cohort with th...
1911.08339
Jonathan Ullman
Alexander Edmonds and Aleksandar Nikolov and Jonathan Ullman
The Power of Factorization Mechanisms in Local and Central Differential Privacy
null
null
null
null
cs.DS cs.CR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We give new characterizations of the sample complexity of answering linear queries (statistical queries) in the local and central models of differential privacy: *In the non-interactive local model, we give the first approximate characterization of the sample complexity. Informally our bounds are tight to within po...
[ { "created": "Tue, 19 Nov 2019 15:17:18 GMT", "version": "v1" } ]
2019-11-20
[ [ "Edmonds", "Alexander", "" ], [ "Nikolov", "Aleksandar", "" ], [ "Ullman", "Jonathan", "" ] ]
We give new characterizations of the sample complexity of answering linear queries (statistical queries) in the local and central models of differential privacy: *In the non-interactive local model, we give the first approximate characterization of the sample complexity. Informally our bounds are tight to within polylo...
1705.06086
Sebastian Werner
Sebastian Werner, Zdravko Velinov, Wenzel Jakob, Matthias B. Hullin
Scratch iridescence: Wave-optical rendering of diffractive surface structure
null
null
null
null
cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The surface of metal, glass and plastic objects is often characterized by microscopic scratches caused by manufacturing and/or wear. A closer look onto such scratches reveals iridescent colors with a complex dependency on viewing and lighting conditions. The physics behind this phenomenon is well understood; it is ca...
[ { "created": "Wed, 17 May 2017 10:59:29 GMT", "version": "v1" } ]
2017-05-18
[ [ "Werner", "Sebastian", "" ], [ "Velinov", "Zdravko", "" ], [ "Jakob", "Wenzel", "" ], [ "Hullin", "Matthias B.", "" ] ]
The surface of metal, glass and plastic objects is often characterized by microscopic scratches caused by manufacturing and/or wear. A closer look onto such scratches reveals iridescent colors with a complex dependency on viewing and lighting conditions. The physics behind this phenomenon is well understood; it is caus...
1204.2101
Sumit Katiyar
Sumit Katiyar, R. K. Jain, N. K. Agrawal
R.F. Pollution Reduction in Cellular Communication
6 pages, 7 figures, international journal, International Journal of Scientific & Engineering Research, Volume 3, Issue 3, March -2012
null
null
null
cs.CY cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
R. F. pollution has been recognized as health hazard in India in the prevailing circumstances. There is lot of hue and cry against cellular towers installed in residential area. Recently high court in India has issued an order not to install towers in residential areas. For meeting the exponential demand of cellular ...
[ { "created": "Tue, 10 Apr 2012 10:45:12 GMT", "version": "v1" } ]
2012-04-11
[ [ "Katiyar", "Sumit", "" ], [ "Jain", "R. K.", "" ], [ "Agrawal", "N. K.", "" ] ]
R. F. pollution has been recognized as health hazard in India in the prevailing circumstances. There is lot of hue and cry against cellular towers installed in residential area. Recently high court in India has issued an order not to install towers in residential areas. For meeting the exponential demand of cellular co...
1211.6918
Mathis Seidl
Mathis Seidl, Andreas Schenk, Clemens Stierstorfer, and Johannes B. Huber
Aspects of Polar-Coded Modulation
Accepted for presentation at International ITG Conference on Systems, Communications and Coding, Munich, Germany, January 2013
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the joint design of polar coding and higher-order modulation schemes for ever increased spectral efficiency. The close connection between the polar code construction and the multi-level coding approach is described in detail. Relations between different modulation schemes such as bit-interleaved coded mod...
[ { "created": "Thu, 29 Nov 2012 14:01:23 GMT", "version": "v1" } ]
2012-11-30
[ [ "Seidl", "Mathis", "" ], [ "Schenk", "Andreas", "" ], [ "Stierstorfer", "Clemens", "" ], [ "Huber", "Johannes B.", "" ] ]
We consider the joint design of polar coding and higher-order modulation schemes for ever increased spectral efficiency. The close connection between the polar code construction and the multi-level coding approach is described in detail. Relations between different modulation schemes such as bit-interleaved coded modul...
2010.04554
Huiting Hong
Yucheng Lin, Huiting Hong, Xiaoqing Yang, Xiaodi Yang, Pinghua Gong, Jieping Ye
Meta Graph Attention on Heterogeneous Graph with Node-Edge Co-evolution
11pages, 4figures
null
null
null
cs.LG cs.SI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Graph neural networks have become an important tool for modeling structured data. In many real-world systems, intricate hidden information may exist, e.g., heterogeneity in nodes/edges, static node/edge attributes, and spatiotemporal node/edge features. However, most existing methods only take part of the information...
[ { "created": "Fri, 9 Oct 2020 13:19:39 GMT", "version": "v1" } ]
2020-10-12
[ [ "Lin", "Yucheng", "" ], [ "Hong", "Huiting", "" ], [ "Yang", "Xiaoqing", "" ], [ "Yang", "Xiaodi", "" ], [ "Gong", "Pinghua", "" ], [ "Ye", "Jieping", "" ] ]
Graph neural networks have become an important tool for modeling structured data. In many real-world systems, intricate hidden information may exist, e.g., heterogeneity in nodes/edges, static node/edge attributes, and spatiotemporal node/edge features. However, most existing methods only take part of the information i...
1802.07647
Christian Konrad
Christian Konrad
MIS in the Congested Clique Model in $O(\log \log \Delta)$ Rounds
null
null
null
null
cs.DC cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We give a maximal independent set (MIS) algorithm that runs in $O(\log \log \Delta)$ rounds in the congested clique model, where $\Delta$ is the maximum degree of the input graph. This improves upon the $O(\frac{\log(\Delta) \cdot \log \log \Delta}{\sqrt{\log n}} + \log \log \Delta )$ rounds algorithm of [Ghaffari, P...
[ { "created": "Wed, 21 Feb 2018 16:21:34 GMT", "version": "v1" } ]
2018-02-22
[ [ "Konrad", "Christian", "" ] ]
We give a maximal independent set (MIS) algorithm that runs in $O(\log \log \Delta)$ rounds in the congested clique model, where $\Delta$ is the maximum degree of the input graph. This improves upon the $O(\frac{\log(\Delta) \cdot \log \log \Delta}{\sqrt{\log n}} + \log \log \Delta )$ rounds algorithm of [Ghaffari, POD...
0910.2632
Laurent Romary
Laurent Romary (INRIA Saclay - Ile de France, IDSL)
Communication scientifique : Pour le meilleur et pour le PEER
null
Hermes (2009)
null
null
cs.DL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper provides an overview (in French) of the European PEER project, focusing on its origins, the actual objectives and the technical deployment.
[ { "created": "Wed, 14 Oct 2009 14:28:28 GMT", "version": "v1" } ]
2009-10-15
[ [ "Romary", "Laurent", "", "INRIA Saclay - Ile de France, IDSL" ] ]
This paper provides an overview (in French) of the European PEER project, focusing on its origins, the actual objectives and the technical deployment.
2003.05420
Peng Jiang Dr.
Guangnan Wu and Zhiyi Pan and Peng Jiang and Changhe Tu
Bi-Directional Attention for Joint Instance and Semantic Segmentation in Point Clouds
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
Instance segmentation in point clouds is one of the most fine-grained ways to understand the 3D scene. Due to its close relationship to semantic segmentation, many works approach these two tasks simultaneously and leverage the benefits of multi-task learning. However, most of them only considered simple strategies su...
[ { "created": "Wed, 11 Mar 2020 17:16:07 GMT", "version": "v1" } ]
2020-03-12
[ [ "Wu", "Guangnan", "" ], [ "Pan", "Zhiyi", "" ], [ "Jiang", "Peng", "" ], [ "Tu", "Changhe", "" ] ]
Instance segmentation in point clouds is one of the most fine-grained ways to understand the 3D scene. Due to its close relationship to semantic segmentation, many works approach these two tasks simultaneously and leverage the benefits of multi-task learning. However, most of them only considered simple strategies such...
2211.13557
Fernando Alonso-Fernandez
Hartwig Fronthaler, Klaus Kollreider, Josef Bigun, Julian Fierrez, Fernando Alonso-Fernandez, Javier Ortega-Garcia, Joaquin Gonzalez-Rodriguez
Fingerprint Image-Quality Estimation and its Application to Multialgorithm Verification
Published at IEEE Transactions on Information Forensics and Security
null
10.1109/TIFS.2008.920725
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Signal-quality awareness has been found to increase recognition rates and to support decisions in multisensor environments significantly. Nevertheless, automatic quality assessment is still an open issue. Here, we study the orientation tensor of fingerprint images to quantify signal impairments, such as noise, lack o...
[ { "created": "Thu, 24 Nov 2022 12:17:49 GMT", "version": "v1" } ]
2022-11-28
[ [ "Fronthaler", "Hartwig", "" ], [ "Kollreider", "Klaus", "" ], [ "Bigun", "Josef", "" ], [ "Fierrez", "Julian", "" ], [ "Alonso-Fernandez", "Fernando", "" ], [ "Ortega-Garcia", "Javier", "" ], [ "Gonzalez-Rodriguez"...
Signal-quality awareness has been found to increase recognition rates and to support decisions in multisensor environments significantly. Nevertheless, automatic quality assessment is still an open issue. Here, we study the orientation tensor of fingerprint images to quantify signal impairments, such as noise, lack of ...
2108.09402
Bonaventure Molokwu Ph.D.
Bonaventure Chidube Molokwu, Shaon Bhatta Shuvo, Ziad Kobti, Anne Snowdon
A Multi-Task Learning Framework for COVID-19 Monitoring and Prediction of PPE Demand in Community Health Centres
6-page article/manuscript
null
null
null
cs.LG cs.AI cs.SI
http://creativecommons.org/licenses/by/4.0/
Currently, the world seeks to find appropriate mitigation techniques to control and prevent the spread of the new SARS-CoV-2. In our paper herein, we present a peculiar Multi-Task Learning framework that jointly predicts the effect of SARS-CoV-2 as well as Personal-Protective-Equipment consumption in Community Health...
[ { "created": "Fri, 20 Aug 2021 23:32:41 GMT", "version": "v1" } ]
2021-08-24
[ [ "Molokwu", "Bonaventure Chidube", "" ], [ "Shuvo", "Shaon Bhatta", "" ], [ "Kobti", "Ziad", "" ], [ "Snowdon", "Anne", "" ] ]
Currently, the world seeks to find appropriate mitigation techniques to control and prevent the spread of the new SARS-CoV-2. In our paper herein, we present a peculiar Multi-Task Learning framework that jointly predicts the effect of SARS-CoV-2 as well as Personal-Protective-Equipment consumption in Community Health C...
2101.11744
Matthew Smart
Matthew Smart, Anton Zilman
On the mapping between Hopfield networks and Restricted Boltzmann Machines
ICLR 2021 oral paper
The 9th International Conference on Learning Representations (ICLR 2021)
null
null
cs.LG cond-mat.dis-nn cond-mat.stat-mech
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Hopfield networks (HNs) and Restricted Boltzmann Machines (RBMs) are two important models at the interface of statistical physics, machine learning, and neuroscience. Recently, there has been interest in the relationship between HNs and RBMs, due to their similarity under the statistical mechanics formalism. An exact...
[ { "created": "Wed, 27 Jan 2021 23:49:48 GMT", "version": "v1" }, { "created": "Sat, 6 Mar 2021 02:08:12 GMT", "version": "v2" } ]
2021-03-09
[ [ "Smart", "Matthew", "" ], [ "Zilman", "Anton", "" ] ]
Hopfield networks (HNs) and Restricted Boltzmann Machines (RBMs) are two important models at the interface of statistical physics, machine learning, and neuroscience. Recently, there has been interest in the relationship between HNs and RBMs, due to their similarity under the statistical mechanics formalism. An exact m...
1506.07257
Jingyu Gao
Jingyu Gao, Jinfu Yang, Guanghui Wang and Mingai Li
A Novel Feature Extraction Method for Scene Recognition Based on Centered Convolutional Restricted Boltzmann Machines
22 pages, 11 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Scene recognition is an important research topic in computer vision, while feature extraction is a key step of object recognition. Although classical Restricted Boltzmann machines (RBM) can efficiently represent complicated data, it is hard to handle large images due to its complexity in computation. In this paper, a...
[ { "created": "Wed, 24 Jun 2015 06:42:42 GMT", "version": "v1" } ]
2015-06-25
[ [ "Gao", "Jingyu", "" ], [ "Yang", "Jinfu", "" ], [ "Wang", "Guanghui", "" ], [ "Li", "Mingai", "" ] ]
Scene recognition is an important research topic in computer vision, while feature extraction is a key step of object recognition. Although classical Restricted Boltzmann machines (RBM) can efficiently represent complicated data, it is hard to handle large images due to its complexity in computation. In this paper, a n...
2212.12603
Yao Yao
Yao Yao, Qihang Lin, Tianbao Yang
Stochastic Methods for AUC Optimization subject to AUC-based Fairness Constraints
Published in AISTATS 2023
null
null
null
cs.LG math.OC stat.ML
http://creativecommons.org/licenses/by/4.0/
As machine learning being used increasingly in making high-stakes decisions, an arising challenge is to avoid unfair AI systems that lead to discriminatory decisions for protected population. A direct approach for obtaining a fair predictive model is to train the model through optimizing its prediction performance su...
[ { "created": "Fri, 23 Dec 2022 22:29:08 GMT", "version": "v1" }, { "created": "Tue, 27 Dec 2022 02:01:30 GMT", "version": "v2" }, { "created": "Wed, 22 Feb 2023 21:26:56 GMT", "version": "v3" } ]
2023-02-24
[ [ "Yao", "Yao", "" ], [ "Lin", "Qihang", "" ], [ "Yang", "Tianbao", "" ] ]
As machine learning being used increasingly in making high-stakes decisions, an arising challenge is to avoid unfair AI systems that lead to discriminatory decisions for protected population. A direct approach for obtaining a fair predictive model is to train the model through optimizing its prediction performance subj...
2302.03596
Jaehyeong Jo
Jaehyeong Jo, Dongki Kim, Sung Ju Hwang
Graph Generation with Diffusion Mixture
ICML 2024
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Generation of graphs is a major challenge for real-world tasks that require understanding the complex nature of their non-Euclidean structures. Although diffusion models have achieved notable success in graph generation recently, they are ill-suited for modeling the topological properties of graphs since learning to ...
[ { "created": "Tue, 7 Feb 2023 17:07:46 GMT", "version": "v1" }, { "created": "Wed, 24 May 2023 06:09:45 GMT", "version": "v2" }, { "created": "Mon, 5 Feb 2024 02:22:58 GMT", "version": "v3" }, { "created": "Sun, 2 Jun 2024 20:00:20 GMT", "version": "v4" } ]
2024-06-04
[ [ "Jo", "Jaehyeong", "" ], [ "Kim", "Dongki", "" ], [ "Hwang", "Sung Ju", "" ] ]
Generation of graphs is a major challenge for real-world tasks that require understanding the complex nature of their non-Euclidean structures. Although diffusion models have achieved notable success in graph generation recently, they are ill-suited for modeling the topological properties of graphs since learning to de...
2003.06945
Cho-Ying Wu
Cho-Ying Wu, Ulrich Neumann
Scene Completeness-Aware Lidar Depth Completion for Driving Scenario
Present at ICASSP 2021; fix typos
null
null
null
cs.CV cs.RO
http://creativecommons.org/licenses/by/4.0/
This paper introduces Scene Completeness-Aware Depth Completion (SCADC) to complete raw lidar scans into dense depth maps with fine and complete scene structures. Recent sparse depth completion for lidars only focuses on the lower scenes and produces irregular estimations on the upper because existing datasets, such ...
[ { "created": "Sun, 15 Mar 2020 23:23:26 GMT", "version": "v1" }, { "created": "Wed, 18 Mar 2020 03:46:18 GMT", "version": "v2" }, { "created": "Sat, 20 Feb 2021 23:50:16 GMT", "version": "v3" }, { "created": "Wed, 17 Jan 2024 05:29:28 GMT", "version": "v4" } ]
2024-01-18
[ [ "Wu", "Cho-Ying", "" ], [ "Neumann", "Ulrich", "" ] ]
This paper introduces Scene Completeness-Aware Depth Completion (SCADC) to complete raw lidar scans into dense depth maps with fine and complete scene structures. Recent sparse depth completion for lidars only focuses on the lower scenes and produces irregular estimations on the upper because existing datasets, such as...
2401.12624
Yongjun Kim
Yongjun Kim, Sejin Seo, Jihong Park, Mehdi Bennis, Seong-Lyun Kim, Junil Choi
Knowledge Distillation from Language-Oriented to Emergent Communication for Multi-Agent Remote Control
null
null
null
null
cs.AI cs.IT cs.LG cs.NI math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work, we compare emergent communication (EC) built upon multi-agent deep reinforcement learning (MADRL) and language-oriented semantic communication (LSC) empowered by a pre-trained large language model (LLM) using human language. In a multi-agent remote navigation task, with multimodal input data comprising ...
[ { "created": "Tue, 23 Jan 2024 10:23:13 GMT", "version": "v1" }, { "created": "Sun, 3 Mar 2024 14:15:52 GMT", "version": "v2" } ]
2024-03-05
[ [ "Kim", "Yongjun", "" ], [ "Seo", "Sejin", "" ], [ "Park", "Jihong", "" ], [ "Bennis", "Mehdi", "" ], [ "Kim", "Seong-Lyun", "" ], [ "Choi", "Junil", "" ] ]
In this work, we compare emergent communication (EC) built upon multi-agent deep reinforcement learning (MADRL) and language-oriented semantic communication (LSC) empowered by a pre-trained large language model (LLM) using human language. In a multi-agent remote navigation task, with multimodal input data comprising lo...
2402.08245
Manh Duong Phung
Duy Nam Bui, Manh Duong Phung, Hung Pham Duy
Self-Reconfigurable V-shape Formation of Multiple UAVs in Narrow Space Environments
Published in: 2024 IEEE/SICE International Symposium on System Integration (SII)
null
10.1109/SII58957.2024.10417519
null
cs.RO
http://creativecommons.org/licenses/by/4.0/
This paper presents the design and implementation of a self-reconfigurable V-shape formation controller for multiple unmanned aerial vehicles (UAVs) navigating through narrow spaces in a dense obstacle environment. The selection of the V-shape formation is motivated by its maneuverability and visibility advantages. T...
[ { "created": "Tue, 13 Feb 2024 06:19:11 GMT", "version": "v1" } ]
2024-02-14
[ [ "Bui", "Duy Nam", "" ], [ "Phung", "Manh Duong", "" ], [ "Duy", "Hung Pham", "" ] ]
This paper presents the design and implementation of a self-reconfigurable V-shape formation controller for multiple unmanned aerial vehicles (UAVs) navigating through narrow spaces in a dense obstacle environment. The selection of the V-shape formation is motivated by its maneuverability and visibility advantages. The...
2005.10266
Liang-Chieh Chen
Liang-Chieh Chen, Raphael Gontijo Lopes, Bowen Cheng, Maxwell D. Collins, Ekin D. Cubuk, Barret Zoph, Hartwig Adam, Jonathon Shlens
Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation
Accepted to ECCV 2020
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Supervised learning in large discriminative models is a mainstay for modern computer vision. Such an approach necessitates investing in large-scale human-annotated datasets for achieving state-of-the-art results. In turn, the efficacy of supervised learning may be limited by the size of the human annotated dataset. T...
[ { "created": "Wed, 20 May 2020 18:00:05 GMT", "version": "v1" }, { "created": "Fri, 22 May 2020 04:38:50 GMT", "version": "v2" }, { "created": "Wed, 8 Jul 2020 16:29:10 GMT", "version": "v3" }, { "created": "Mon, 20 Jul 2020 03:40:38 GMT", "version": "v4" } ]
2020-07-21
[ [ "Chen", "Liang-Chieh", "" ], [ "Lopes", "Raphael Gontijo", "" ], [ "Cheng", "Bowen", "" ], [ "Collins", "Maxwell D.", "" ], [ "Cubuk", "Ekin D.", "" ], [ "Zoph", "Barret", "" ], [ "Adam", "Hartwig", "" ],...
Supervised learning in large discriminative models is a mainstay for modern computer vision. Such an approach necessitates investing in large-scale human-annotated datasets for achieving state-of-the-art results. In turn, the efficacy of supervised learning may be limited by the size of the human annotated dataset. Thi...
1806.02325
Ay\c{c}a \"Oz\c{c}elikkale
Ayca Ozcelikkale, Mehmet Koseoglu and Mani Srivastava
Optimization vs. Reinforcement Learning for Wirelessly Powered Sensor Networks
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider a sensing application where the sensor nodes are wirelessly powered by an energy beacon. We focus on the problem of jointly optimizing the energy allocation of the energy beacon to different sensors and the data transmission powers of the sensors in order to minimize the field reconstruction error at the ...
[ { "created": "Wed, 6 Jun 2018 17:43:31 GMT", "version": "v1" } ]
2018-06-07
[ [ "Ozcelikkale", "Ayca", "" ], [ "Koseoglu", "Mehmet", "" ], [ "Srivastava", "Mani", "" ] ]
We consider a sensing application where the sensor nodes are wirelessly powered by an energy beacon. We focus on the problem of jointly optimizing the energy allocation of the energy beacon to different sensors and the data transmission powers of the sensors in order to minimize the field reconstruction error at the si...
2401.15545
Simin Chen
Simin Chen, Xiaoning Feng, Xiaohong Han, Cong Liu, Wei Yang
PPM: Automated Generation of Diverse Programming Problems for Benchmarking Code Generation Models
This paper has been accepted to The ACM International Conference on the Foundations of Software Engineering FSE 2024
null
null
null
cs.SE cs.AI cs.CL cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In recent times, a plethora of Large Code Generation Models (LCGMs) have been proposed, showcasing significant potential in assisting developers with complex programming tasks. Benchmarking LCGMs necessitates the creation of a set of diverse programming problems, and each problem comprises the prompt (including the t...
[ { "created": "Sun, 28 Jan 2024 02:27:38 GMT", "version": "v1" } ]
2024-01-30
[ [ "Chen", "Simin", "" ], [ "Feng", "Xiaoning", "" ], [ "Han", "Xiaohong", "" ], [ "Liu", "Cong", "" ], [ "Yang", "Wei", "" ] ]
In recent times, a plethora of Large Code Generation Models (LCGMs) have been proposed, showcasing significant potential in assisting developers with complex programming tasks. Benchmarking LCGMs necessitates the creation of a set of diverse programming problems, and each problem comprises the prompt (including the tas...
2305.06236
Sara Ahmadi Majd
Mohammad Mashayekhi, Sara Ahmadi Majd, Arian Amiramjadi, Babak Mashayekhi
Radious: Unveiling the Enigma of Dental Radiology with BEIT Adaptor and Mask2Former in Semantic Segmentation
null
null
null
null
cs.CV cs.AI
http://creativecommons.org/publicdomain/zero/1.0/
X-ray images are the first steps for diagnosing and further treating dental problems. So, early diagnosis prevents the development and increase of oral and dental diseases. In this paper, we developed a semantic segmentation algorithm based on BEIT adaptor and Mask2Former to detect and identify teeth, roots, and mult...
[ { "created": "Wed, 10 May 2023 15:15:09 GMT", "version": "v1" } ]
2023-05-11
[ [ "Mashayekhi", "Mohammad", "" ], [ "Majd", "Sara Ahmadi", "" ], [ "Amiramjadi", "Arian", "" ], [ "Mashayekhi", "Babak", "" ] ]
X-ray images are the first steps for diagnosing and further treating dental problems. So, early diagnosis prevents the development and increase of oral and dental diseases. In this paper, we developed a semantic segmentation algorithm based on BEIT adaptor and Mask2Former to detect and identify teeth, roots, and multip...
1811.08366
Stephen Bonner
Stephen Bonner, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara
Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning
Accepted as a workshop paper at IEEE Big Data 2018
null
null
null
cs.SI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Graphs are a commonly used construct for representing relationships between elements in complex high dimensional datasets. Many real-world phenomenon are dynamic in nature, meaning that any graph used to represent them is inherently temporal. However, many of the machine learning models designed to capture knowledge ...
[ { "created": "Tue, 20 Nov 2018 17:01:16 GMT", "version": "v1" } ]
2018-11-21
[ [ "Bonner", "Stephen", "" ], [ "Brennan", "John", "" ], [ "Kureshi", "Ibad", "" ], [ "Theodoropoulos", "Georgios", "" ], [ "McGough", "Andrew Stephen", "" ], [ "Obara", "Boguslaw", "" ] ]
Graphs are a commonly used construct for representing relationships between elements in complex high dimensional datasets. Many real-world phenomenon are dynamic in nature, meaning that any graph used to represent them is inherently temporal. However, many of the machine learning models designed to capture knowledge ab...
2308.13094
Takamichi Miyata Ph.D.
Takamichi Miyata
Interpretable Image Quality Assessment via CLIP with Multiple Antonym-Prompt Pairs
2pages, 1 figure
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
No reference image quality assessment (NR-IQA) is a task to estimate the perceptual quality of an image without its corresponding original image. It is even more difficult to perform this task in a zero-shot manner, i.e., without task-specific training. In this paper, we propose a new zero-shot and interpretable NRIQ...
[ { "created": "Thu, 24 Aug 2023 21:37:00 GMT", "version": "v1" } ]
2023-08-28
[ [ "Miyata", "Takamichi", "" ] ]
No reference image quality assessment (NR-IQA) is a task to estimate the perceptual quality of an image without its corresponding original image. It is even more difficult to perform this task in a zero-shot manner, i.e., without task-specific training. In this paper, we propose a new zero-shot and interpretable NRIQA ...
2305.17773
Madhav Desai
Madhav P. Desai
An evaluation of a microprocessor with two independent hardware execution threads coupled through a shared cache
null
null
null
null
cs.AR
http://creativecommons.org/licenses/by/4.0/
We investigate the utility of augmenting a microprocessor with a single execution pipeline by adding a second copy of the execution pipeline in parallel with the existing one. The resulting dual-hardware-threaded microprocessor has two identical, independent, single-issue in-order execution pipelines (hardware thread...
[ { "created": "Sun, 28 May 2023 16:47:56 GMT", "version": "v1" } ]
2023-05-30
[ [ "Desai", "Madhav P.", "" ] ]
We investigate the utility of augmenting a microprocessor with a single execution pipeline by adding a second copy of the execution pipeline in parallel with the existing one. The resulting dual-hardware-threaded microprocessor has two identical, independent, single-issue in-order execution pipelines (hardware threads)...
2209.00841
Zeyong Wei
Honghua Chen, Mingqiang Wei, Jun Wang
Geometric and Learning-based Mesh Denoising: A Comprehensive Survey
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Mesh denoising is a fundamental problem in digital geometry processing. It seeks to remove surface noise, while preserving surface intrinsic signals as accurately as possible. While the traditional wisdom has been built upon specialized priors to smooth surfaces, learning-based approaches are making their debut with ...
[ { "created": "Fri, 2 Sep 2022 06:54:32 GMT", "version": "v1" } ]
2022-09-05
[ [ "Chen", "Honghua", "" ], [ "Wei", "Mingqiang", "" ], [ "Wang", "Jun", "" ] ]
Mesh denoising is a fundamental problem in digital geometry processing. It seeks to remove surface noise, while preserving surface intrinsic signals as accurately as possible. While the traditional wisdom has been built upon specialized priors to smooth surfaces, learning-based approaches are making their debut with gr...
2011.07932
Siyeong Lee
Kwanghee Choi and Siyeong Lee
Combating the Instability of Mutual Information-based Losses via Regularization
Kwanghee Choi and Siyeong Lee contributed equally to this paper. Accepted for the 38th Conference on Uncertainty in Artificial Intelligence (UAI 2022)
null
null
null
cs.LG cs.IT math.IT stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Notable progress has been made in numerous fields of machine learning based on neural network-driven mutual information (MI) bounds. However, utilizing the conventional MI-based losses is often challenging due to their practical and mathematical limitations. In this work, we first identify the symptoms behind their i...
[ { "created": "Mon, 16 Nov 2020 13:29:15 GMT", "version": "v1" }, { "created": "Mon, 28 Feb 2022 14:19:26 GMT", "version": "v2" }, { "created": "Fri, 4 Mar 2022 01:10:24 GMT", "version": "v3" }, { "created": "Sat, 18 Jun 2022 04:01:51 GMT", "version": "v4" } ]
2022-06-22
[ [ "Choi", "Kwanghee", "" ], [ "Lee", "Siyeong", "" ] ]
Notable progress has been made in numerous fields of machine learning based on neural network-driven mutual information (MI) bounds. However, utilizing the conventional MI-based losses is often challenging due to their practical and mathematical limitations. In this work, we first identify the symptoms behind their ins...
1706.06457
Mohsen Imani
Mohsen Imani, Mehrdad Amirabadi, and Matthew Wright
The Evaluation of Circuit Selection Methods on Tor
arXiv admin note: substantial text overlap with arXiv:1608.07343
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Tor provides anonymity online by routing traffic through encrypted tunnels, called circuits, over paths of anonymizing relays. To enable users to connect to their selected destination servers without waiting for the circuit to be build, the Tor client maintains a few circuits at all times. Nevertheless, Tor is slower...
[ { "created": "Sat, 17 Jun 2017 23:39:19 GMT", "version": "v1" } ]
2017-06-21
[ [ "Imani", "Mohsen", "" ], [ "Amirabadi", "Mehrdad", "" ], [ "Wright", "Matthew", "" ] ]
Tor provides anonymity online by routing traffic through encrypted tunnels, called circuits, over paths of anonymizing relays. To enable users to connect to their selected destination servers without waiting for the circuit to be build, the Tor client maintains a few circuits at all times. Nevertheless, Tor is slower t...
1103.5320
Francesco De Pellegrini Dr.
Alberto Montresor, Francesco De Pellegrini and Daniele Miorandi
Distributed k-Core Decomposition
null
null
null
null
cs.OH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Among the novel metrics used to study the relative importance of nodes in complex networks, k-core decomposition has found a number of applications in areas as diverse as sociology, proteinomics, graph visualization, and distributed system analysis and design. This paper proposes new distributed algorithms for the co...
[ { "created": "Mon, 28 Mar 2011 10:27:48 GMT", "version": "v1" }, { "created": "Tue, 29 Mar 2011 10:12:14 GMT", "version": "v2" } ]
2011-03-30
[ [ "Montresor", "Alberto", "" ], [ "De Pellegrini", "Francesco", "" ], [ "Miorandi", "Daniele", "" ] ]
Among the novel metrics used to study the relative importance of nodes in complex networks, k-core decomposition has found a number of applications in areas as diverse as sociology, proteinomics, graph visualization, and distributed system analysis and design. This paper proposes new distributed algorithms for the comp...
2305.07244
Prasad Talasila
Prasad Talasila, Cl\'audio Gomes, Peter H{\o}gh Mikkelsen, Santiago Gil Arboleda, Eduard Kamburjan, Peter Gorm Larsen
Digital Twin as a Service (DTaaS): A Platform for Digital Twin Developers and Users
8 pages, 6 figures. Accepted at Digital Twin 2023
null
10.1109/SWC57546.2023.10448890
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Establishing digital twins is a non-trivial endeavour especially when users face significant challenges in creating them from scratch. Ready availability of reusable models, data and tool assets, can help with creation and use of digital twins. A number of digital twin frameworks exist to facilitate creation and use ...
[ { "created": "Fri, 12 May 2023 04:34:30 GMT", "version": "v1" }, { "created": "Tue, 13 Jun 2023 08:59:12 GMT", "version": "v2" } ]
2024-03-11
[ [ "Talasila", "Prasad", "" ], [ "Gomes", "Cláudio", "" ], [ "Mikkelsen", "Peter Høgh", "" ], [ "Arboleda", "Santiago Gil", "" ], [ "Kamburjan", "Eduard", "" ], [ "Larsen", "Peter Gorm", "" ] ]
Establishing digital twins is a non-trivial endeavour especially when users face significant challenges in creating them from scratch. Ready availability of reusable models, data and tool assets, can help with creation and use of digital twins. A number of digital twin frameworks exist to facilitate creation and use of...
2303.00109
Felix Schr\"oder
Stefan Felsner and Hendrik Schrezenmaier and Felix Schr\"oder and Raphael Steiner
Linear Size Universal Point Sets for Classes of Planar Graphs
null
null
null
null
cs.CG cs.DM math.CO
http://creativecommons.org/licenses/by-sa/4.0/
A finite set $P$ of points in the plane is $n$-universal with respect to a class $\mathcal{C}$ of planar graphs if every $n$-vertex graph in $\mathcal{C}$ admits a crossing-free straight-line drawing with vertices at points of $P$. For the class of all planar graphs the best known upper bound on the size of a univers...
[ { "created": "Tue, 28 Feb 2023 22:15:38 GMT", "version": "v1" } ]
2023-03-02
[ [ "Felsner", "Stefan", "" ], [ "Schrezenmaier", "Hendrik", "" ], [ "Schröder", "Felix", "" ], [ "Steiner", "Raphael", "" ] ]
A finite set $P$ of points in the plane is $n$-universal with respect to a class $\mathcal{C}$ of planar graphs if every $n$-vertex graph in $\mathcal{C}$ admits a crossing-free straight-line drawing with vertices at points of $P$. For the class of all planar graphs the best known upper bound on the size of a universal...
1608.03580
Erik Waingarten
Alexandr Andoni and Thijs Laarhoven and Ilya Razenshteyn and Erik Waingarten
Optimal Hashing-based Time-Space Trade-offs for Approximate Near Neighbors
62 pages, 5 figures; a merger of arXiv:1511.07527 [cs.DS] and arXiv:1605.02701 [cs.DS], which subsumes both of the preprints. New version contains more elaborated proofs and fixed some typos
null
10.1137/1.9781611974782.4
null
cs.DS cs.CC cs.CG cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
[See the paper for the full abstract.] We show tight upper and lower bounds for time-space trade-offs for the $c$-Approximate Near Neighbor Search problem. For the $d$-dimensional Euclidean space and $n$-point datasets, we develop a data structure with space $n^{1 + \rho_u + o(1)} + O(dn)$ and query time $n^{\rho_q...
[ { "created": "Thu, 11 Aug 2016 19:50:00 GMT", "version": "v1" }, { "created": "Sun, 21 May 2017 16:57:47 GMT", "version": "v2" } ]
2019-10-04
[ [ "Andoni", "Alexandr", "" ], [ "Laarhoven", "Thijs", "" ], [ "Razenshteyn", "Ilya", "" ], [ "Waingarten", "Erik", "" ] ]
[See the paper for the full abstract.] We show tight upper and lower bounds for time-space trade-offs for the $c$-Approximate Near Neighbor Search problem. For the $d$-dimensional Euclidean space and $n$-point datasets, we develop a data structure with space $n^{1 + \rho_u + o(1)} + O(dn)$ and query time $n^{\rho_q + o...
2103.15339
Haw-Shiuan Chang
Rohan Paul, Haw-Shiuan Chang, Andrew McCallum
Multi-facet Universal Schema
EACL 2021
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Universal schema (USchema) assumes that two sentence patterns that share the same entity pairs are similar to each other. This assumption is widely adopted for solving various types of relation extraction (RE) tasks. Nevertheless, each sentence pattern could contain multiple facets, and not every facet is similar to ...
[ { "created": "Mon, 29 Mar 2021 05:10:10 GMT", "version": "v1" } ]
2021-03-30
[ [ "Paul", "Rohan", "" ], [ "Chang", "Haw-Shiuan", "" ], [ "McCallum", "Andrew", "" ] ]
Universal schema (USchema) assumes that two sentence patterns that share the same entity pairs are similar to each other. This assumption is widely adopted for solving various types of relation extraction (RE) tasks. Nevertheless, each sentence pattern could contain multiple facets, and not every facet is similar to al...
2404.05044
Morteza Maleki
Morteza Maleki, SeyedAli Ghahari
Clinical Trials Protocol Authoring using LLMs
29 pages, under review by IEEE Journal
null
null
null
cs.CE
http://creativecommons.org/licenses/by/4.0/
This report embarks on a mission to revolutionize clinical trial protocol development through the integration of advanced AI technologies. With a focus on leveraging the capabilities of generative AI, specifically GPT-4, this initiative aimed to streamline and enhance the efficiency and accuracy of clinical trial pro...
[ { "created": "Sun, 7 Apr 2024 18:59:03 GMT", "version": "v1" }, { "created": "Sun, 4 Aug 2024 20:31:35 GMT", "version": "v2" } ]
2024-08-06
[ [ "Maleki", "Morteza", "" ], [ "Ghahari", "SeyedAli", "" ] ]
This report embarks on a mission to revolutionize clinical trial protocol development through the integration of advanced AI technologies. With a focus on leveraging the capabilities of generative AI, specifically GPT-4, this initiative aimed to streamline and enhance the efficiency and accuracy of clinical trial proto...
2204.11842
Michael Beukman
Michael Beukman and Michael Mitchley and Dean Wookey and Steven James and George Konidaris
Adaptive Online Value Function Approximation with Wavelets
Accepted to RLDM 2022. Code is located at https://github.com/Michael-Beukman/WaveletRL
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Using function approximation to represent a value function is necessary for continuous and high-dimensional state spaces. Linear function approximation has desirable theoretical guarantees and often requires less compute and samples than neural networks, but most approaches suffer from an exponential growth in the nu...
[ { "created": "Fri, 22 Apr 2022 11:35:57 GMT", "version": "v1" } ]
2022-04-27
[ [ "Beukman", "Michael", "" ], [ "Mitchley", "Michael", "" ], [ "Wookey", "Dean", "" ], [ "James", "Steven", "" ], [ "Konidaris", "George", "" ] ]
Using function approximation to represent a value function is necessary for continuous and high-dimensional state spaces. Linear function approximation has desirable theoretical guarantees and often requires less compute and samples than neural networks, but most approaches suffer from an exponential growth in the numb...
1904.06268
Zuxuan Wu
Zuxuan Wu, Xin Wang, Joseph E. Gonzalez, Tom Goldstein, Larry S. Davis
ACE: Adapting to Changing Environments for Semantic Segmentation
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep neural networks exhibit exceptional accuracy when they are trained and tested on the same data distributions. However, neural classifiers are often extremely brittle when confronted with domain shift---changes in the input distribution that occur over time. We present ACE, a framework for semantic segmentation t...
[ { "created": "Fri, 12 Apr 2019 15:15:15 GMT", "version": "v1" } ]
2019-04-15
[ [ "Wu", "Zuxuan", "" ], [ "Wang", "Xin", "" ], [ "Gonzalez", "Joseph E.", "" ], [ "Goldstein", "Tom", "" ], [ "Davis", "Larry S.", "" ] ]
Deep neural networks exhibit exceptional accuracy when they are trained and tested on the same data distributions. However, neural classifiers are often extremely brittle when confronted with domain shift---changes in the input distribution that occur over time. We present ACE, a framework for semantic segmentation tha...
2111.04798
Cristina Menghini
Wasu Piriyakulkij and Cristina Menghini and Ross Briden and Nihal V. Nayak and Jeffrey Zhu and Elaheh Raisi and Stephen H. Bach
TAGLETS: A System for Automatic Semi-Supervised Learning with Auxiliary Data
Paper published at MLSys 2022. It passed the artifact evaluation earning two ACM badges: (1) Artifacts Evaluated Functional v1.1 and (2) Artifacts Available v1.1
null
null
null
cs.LG cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Machine learning practitioners often have access to a spectrum of data: labeled data for the target task (which is often limited), unlabeled data, and auxiliary data, the many available labeled datasets for other tasks. We describe TAGLETS, a system built to study techniques for automatically exploiting all three typ...
[ { "created": "Mon, 8 Nov 2021 20:08:45 GMT", "version": "v1" }, { "created": "Wed, 10 Nov 2021 15:33:24 GMT", "version": "v2" }, { "created": "Thu, 5 May 2022 23:49:23 GMT", "version": "v3" } ]
2022-05-09
[ [ "Piriyakulkij", "Wasu", "" ], [ "Menghini", "Cristina", "" ], [ "Briden", "Ross", "" ], [ "Nayak", "Nihal V.", "" ], [ "Zhu", "Jeffrey", "" ], [ "Raisi", "Elaheh", "" ], [ "Bach", "Stephen H.", "" ] ]
Machine learning practitioners often have access to a spectrum of data: labeled data for the target task (which is often limited), unlabeled data, and auxiliary data, the many available labeled datasets for other tasks. We describe TAGLETS, a system built to study techniques for automatically exploiting all three types...
2105.04632
Hunter Priniski
J. Hunter Priniski, Mason McClay, Keith J. Holyoak
Rise of QAnon: A Mental Model of Good and Evil Stews in an Echochamber
2 figures, 7 pages
null
null
null
cs.SI cs.CY
http://creativecommons.org/licenses/by/4.0/
The QAnon conspiracy posits that Satan-worshiping Democrats operate a covert child sex-trafficking operation, which Donald Trump is destined to expose and annihilate. Emblematic of the ease with which political misconceptions can spread through social media, QAnon originated in late 2017 and rapidly grew to shape the...
[ { "created": "Mon, 10 May 2021 19:34:35 GMT", "version": "v1" } ]
2021-05-12
[ [ "Priniski", "J. Hunter", "" ], [ "McClay", "Mason", "" ], [ "Holyoak", "Keith J.", "" ] ]
The QAnon conspiracy posits that Satan-worshiping Democrats operate a covert child sex-trafficking operation, which Donald Trump is destined to expose and annihilate. Emblematic of the ease with which political misconceptions can spread through social media, QAnon originated in late 2017 and rapidly grew to shape the p...
2404.13370
Zihao Yue
Zihao Yue, Yepeng Zhang, Ziheng Wang, Qin Jin
Movie101v2: Improved Movie Narration Benchmark
null
null
null
null
cs.CV cs.CL cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Automatic movie narration targets at creating video-aligned plot descriptions to assist visually impaired audiences. It differs from standard video captioning in that it requires not only describing key visual details but also inferring the plots developed across multiple movie shots, thus posing unique and ongoing c...
[ { "created": "Sat, 20 Apr 2024 13:15:27 GMT", "version": "v1" } ]
2024-04-23
[ [ "Yue", "Zihao", "" ], [ "Zhang", "Yepeng", "" ], [ "Wang", "Ziheng", "" ], [ "Jin", "Qin", "" ] ]
Automatic movie narration targets at creating video-aligned plot descriptions to assist visually impaired audiences. It differs from standard video captioning in that it requires not only describing key visual details but also inferring the plots developed across multiple movie shots, thus posing unique and ongoing cha...
2404.13749
Xinyu Huang
Xinyu Huang and Shisheng Hu and Mushu Li and Cheng Huang and Xuemin Shen
Efficient Digital Twin Data Processing for Low-Latency Multicast Short Video Streaming
6 pages, 6 figures, submitted to ICCC 2024
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose a novel efficient digital twin (DT) data processing scheme to reduce service latency for multicast short video streaming. Particularly, DT is constructed to emulate and analyze user status for multicast group update and swipe feature abstraction. Then, a precise measurement model of DT data ...
[ { "created": "Sun, 21 Apr 2024 19:12:22 GMT", "version": "v1" } ]
2024-04-23
[ [ "Huang", "Xinyu", "" ], [ "Hu", "Shisheng", "" ], [ "Li", "Mushu", "" ], [ "Huang", "Cheng", "" ], [ "Shen", "Xuemin", "" ] ]
In this paper, we propose a novel efficient digital twin (DT) data processing scheme to reduce service latency for multicast short video streaming. Particularly, DT is constructed to emulate and analyze user status for multicast group update and swipe feature abstraction. Then, a precise measurement model of DT data pr...
2309.11248
Xuyang Chen
Xuyang Chen, Dong Wang, Konrad Schindler, Mingwei Sun, Yongliang Wang, Nicolo Savioli, Liqiu Meng
Box2Poly: Memory-Efficient Polygon Prediction of Arbitrarily Shaped and Rotated Text
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently, Transformer-based text detection techniques have sought to predict polygons by encoding the coordinates of individual boundary vertices using distinct query features. However, this approach incurs a significant memory overhead and struggles to effectively capture the intricate relationships between vertices...
[ { "created": "Wed, 20 Sep 2023 12:19:07 GMT", "version": "v1" } ]
2023-09-21
[ [ "Chen", "Xuyang", "" ], [ "Wang", "Dong", "" ], [ "Schindler", "Konrad", "" ], [ "Sun", "Mingwei", "" ], [ "Wang", "Yongliang", "" ], [ "Savioli", "Nicolo", "" ], [ "Meng", "Liqiu", "" ] ]
Recently, Transformer-based text detection techniques have sought to predict polygons by encoding the coordinates of individual boundary vertices using distinct query features. However, this approach incurs a significant memory overhead and struggles to effectively capture the intricate relationships between vertices b...
2303.15754
Jianping Zhang
Jianping Zhang, Yizhan Huang, Weibin Wu, Michael R. Lyu
Transferable Adversarial Attacks on Vision Transformers with Token Gradient Regularization
CVPR 2023, Code is available at https://github.com/jpzhang1810/TGR
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Vision transformers (ViTs) have been successfully deployed in a variety of computer vision tasks, but they are still vulnerable to adversarial samples. Transfer-based attacks use a local model to generate adversarial samples and directly transfer them to attack a target black-box model. The high efficiency of transfe...
[ { "created": "Tue, 28 Mar 2023 06:23:17 GMT", "version": "v1" }, { "created": "Mon, 5 Jun 2023 07:25:12 GMT", "version": "v2" } ]
2023-06-06
[ [ "Zhang", "Jianping", "" ], [ "Huang", "Yizhan", "" ], [ "Wu", "Weibin", "" ], [ "Lyu", "Michael R.", "" ] ]
Vision transformers (ViTs) have been successfully deployed in a variety of computer vision tasks, but they are still vulnerable to adversarial samples. Transfer-based attacks use a local model to generate adversarial samples and directly transfer them to attack a target black-box model. The high efficiency of transfer-...
2404.11045
James Y. Huang
James Y. Huang, Wenxuan Zhou, Fei Wang, Fred Morstatter, Sheng Zhang, Hoifung Poon, Muhao Chen
Offset Unlearning for Large Language Models
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Despite the strong capabilities of Large Language Models (LLMs) to acquire knowledge from their training corpora, the memorization of sensitive information in the corpora such as copyrighted, harmful, and private content has led to ethical and legal concerns. In response to these challenges, unlearning has emerged as...
[ { "created": "Wed, 17 Apr 2024 03:39:51 GMT", "version": "v1" } ]
2024-04-18
[ [ "Huang", "James Y.", "" ], [ "Zhou", "Wenxuan", "" ], [ "Wang", "Fei", "" ], [ "Morstatter", "Fred", "" ], [ "Zhang", "Sheng", "" ], [ "Poon", "Hoifung", "" ], [ "Chen", "Muhao", "" ] ]
Despite the strong capabilities of Large Language Models (LLMs) to acquire knowledge from their training corpora, the memorization of sensitive information in the corpora such as copyrighted, harmful, and private content has led to ethical and legal concerns. In response to these challenges, unlearning has emerged as a...
2006.15374
Debashmita Poddar
Gianlorenzo D'Angelo, Debashmita Poddar, Cosimo Vinci
Better Bounds on the Adaptivity Gap of Influence Maximization under Full-adoption Feedback
18 pages
The 35th AAAI Conference on Artificial Intelligence (AAAI 2021)
null
null
cs.SI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the influence maximization (IM) problem, we are given a social network and a budget $k$, and we look for a set of $k$ nodes in the network, called seeds, that maximize the expected number of nodes that are reached by an influence cascade generated by the seeds, according to some stochastic model for influence diff...
[ { "created": "Sat, 27 Jun 2020 14:43:34 GMT", "version": "v1" } ]
2021-05-11
[ [ "D'Angelo", "Gianlorenzo", "" ], [ "Poddar", "Debashmita", "" ], [ "Vinci", "Cosimo", "" ] ]
In the influence maximization (IM) problem, we are given a social network and a budget $k$, and we look for a set of $k$ nodes in the network, called seeds, that maximize the expected number of nodes that are reached by an influence cascade generated by the seeds, according to some stochastic model for influence diffus...
2406.15565
Paridhi Singh
Paridhi Singh, Arun Kumar
Unseen Object Reasoning with Shared Appearance Cues
null
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by-sa/4.0/
This paper introduces an innovative approach to open world recognition (OWR), where we leverage knowledge acquired from known objects to address the recognition of previously unseen objects. The traditional method of object modeling relies on supervised learning with strict closed-set assumptions, presupposing that o...
[ { "created": "Fri, 21 Jun 2024 18:04:13 GMT", "version": "v1" } ]
2024-06-25
[ [ "Singh", "Paridhi", "" ], [ "Kumar", "Arun", "" ] ]
This paper introduces an innovative approach to open world recognition (OWR), where we leverage knowledge acquired from known objects to address the recognition of previously unseen objects. The traditional method of object modeling relies on supervised learning with strict closed-set assumptions, presupposing that obj...
2310.09166
Seth Benson
Seth P. Benson and Iain J. Cruickshank
Developing a Natural Language Understanding Model to Characterize Cable News Bias
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Media bias has been extensively studied by both social and computational sciences. However, current work still has a large reliance on human input and subjective assessment to label biases. This is especially true for cable news research. To address these issues, we develop an unsupervised machine learning method to ...
[ { "created": "Fri, 13 Oct 2023 15:01:17 GMT", "version": "v1" }, { "created": "Tue, 17 Oct 2023 22:37:58 GMT", "version": "v2" } ]
2023-10-19
[ [ "Benson", "Seth P.", "" ], [ "Cruickshank", "Iain J.", "" ] ]
Media bias has been extensively studied by both social and computational sciences. However, current work still has a large reliance on human input and subjective assessment to label biases. This is especially true for cable news research. To address these issues, we develop an unsupervised machine learning method to ch...
2312.03721
Simon Lermen
Simon Lermen and Ond\v{r}ej Kvapil
Exploring the Robustness of Model-Graded Evaluations and Automated Interpretability
null
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
There has been increasing interest in evaluations of language models for a variety of risks and characteristics. Evaluations relying on natural language understanding for grading can often be performed at scale by using other language models. We test the robustness of these model-graded evaluations to injections on d...
[ { "created": "Sun, 26 Nov 2023 17:11:55 GMT", "version": "v1" }, { "created": "Fri, 8 Dec 2023 11:16:39 GMT", "version": "v2" } ]
2023-12-11
[ [ "Lermen", "Simon", "" ], [ "Kvapil", "Ondřej", "" ] ]
There has been increasing interest in evaluations of language models for a variety of risks and characteristics. Evaluations relying on natural language understanding for grading can often be performed at scale by using other language models. We test the robustness of these model-graded evaluations to injections on dif...
2306.06872
Hao Sun
Hao Sun, Yang Li, Liwei Deng, Bowen Li, Binyuan Hui, Binhua Li, Yunshi Lan, Yan Zhang, Yongbin Li
History Semantic Graph Enhanced Conversational KBQA with Temporal Information Modeling
Accepted to ACL 2023 Main Conference
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Context information modeling is an important task in conversational KBQA. However, existing methods usually assume the independence of utterances and model them in isolation. In this paper, we propose a History Semantic Graph Enhanced KBQA model (HSGE) that is able to effectively model long-range semantic dependencie...
[ { "created": "Mon, 12 Jun 2023 05:10:58 GMT", "version": "v1" } ]
2023-06-13
[ [ "Sun", "Hao", "" ], [ "Li", "Yang", "" ], [ "Deng", "Liwei", "" ], [ "Li", "Bowen", "" ], [ "Hui", "Binyuan", "" ], [ "Li", "Binhua", "" ], [ "Lan", "Yunshi", "" ], [ "Zhang", "Yan", "" ],...
Context information modeling is an important task in conversational KBQA. However, existing methods usually assume the independence of utterances and model them in isolation. In this paper, we propose a History Semantic Graph Enhanced KBQA model (HSGE) that is able to effectively model long-range semantic dependencies ...
2404.03344
Juri Opitz
Juri Opitz
Schroedinger's Threshold: When the AUC doesn't predict Accuracy
LREC-COLING 2024, added more details on data setups, fixed typo
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Area Under Curve measure (AUC) seems apt to evaluate and compare diverse models, possibly without calibration. An important example of AUC application is the evaluation and benchmarking of models that predict faithfulness of generated text. But we show that the AUC yields an academic and optimistic notion of accu...
[ { "created": "Thu, 4 Apr 2024 10:18:03 GMT", "version": "v1" }, { "created": "Mon, 27 May 2024 10:33:40 GMT", "version": "v2" } ]
2024-05-28
[ [ "Opitz", "Juri", "" ] ]
The Area Under Curve measure (AUC) seems apt to evaluate and compare diverse models, possibly without calibration. An important example of AUC application is the evaluation and benchmarking of models that predict faithfulness of generated text. But we show that the AUC yields an academic and optimistic notion of accura...
1804.09160
Xin Wang
Xin Wang, Wenhu Chen, Yuan-Fang Wang, William Yang Wang
No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling
ACL 2018. 15 pages, 10 figures, 4 tables, with supplementary material
null
null
null
cs.CL cs.AI cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Though impressive results have been achieved in visual captioning, the task of generating abstract stories from photo streams is still a little-tapped problem. Different from captions, stories have more expressive language styles and contain many imaginary concepts that do not appear in the images. Thus it poses chal...
[ { "created": "Tue, 24 Apr 2018 17:41:24 GMT", "version": "v1" }, { "created": "Mon, 9 Jul 2018 00:15:14 GMT", "version": "v2" } ]
2018-07-10
[ [ "Wang", "Xin", "" ], [ "Chen", "Wenhu", "" ], [ "Wang", "Yuan-Fang", "" ], [ "Wang", "William Yang", "" ] ]
Though impressive results have been achieved in visual captioning, the task of generating abstract stories from photo streams is still a little-tapped problem. Different from captions, stories have more expressive language styles and contain many imaginary concepts that do not appear in the images. Thus it poses challe...
2403.20046
Yongqi Tong
Yongqi Tong, Dawei Li, Sizhe Wang, Yujia Wang, Fei Teng, Jingbo Shang
Can LLMs Learn from Previous Mistakes? Investigating LLMs' Errors to Boost for Reasoning
The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024) - Main Conference
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent works have shown the benefits to LLMs from fine-tuning golden-standard Chain-of-Thought (CoT) rationales or using them as correct examples in few-shot prompting. While humans can indeed imitate correct examples, learning from our mistakes is another vital aspect of human cognition. Hence, a question naturally ...
[ { "created": "Fri, 29 Mar 2024 08:30:34 GMT", "version": "v1" }, { "created": "Fri, 7 Jun 2024 06:27:50 GMT", "version": "v2" } ]
2024-06-10
[ [ "Tong", "Yongqi", "" ], [ "Li", "Dawei", "" ], [ "Wang", "Sizhe", "" ], [ "Wang", "Yujia", "" ], [ "Teng", "Fei", "" ], [ "Shang", "Jingbo", "" ] ]
Recent works have shown the benefits to LLMs from fine-tuning golden-standard Chain-of-Thought (CoT) rationales or using them as correct examples in few-shot prompting. While humans can indeed imitate correct examples, learning from our mistakes is another vital aspect of human cognition. Hence, a question naturally ar...
1902.06034
Michihiro Yasunaga
Michihiro Yasunaga, John Lafferty
TopicEq: A Joint Topic and Mathematical Equation Model for Scientific Texts
AAAI 2019
null
null
null
cs.IR cs.CL cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Scientific documents rely on both mathematics and text to communicate ideas. Inspired by the topical correspondence between mathematical equations and word contexts observed in scientific texts, we propose a novel topic model that jointly generates mathematical equations and their surrounding text (TopicEq). Using an...
[ { "created": "Sat, 16 Feb 2019 03:39:51 GMT", "version": "v1" }, { "created": "Wed, 20 Feb 2019 16:55:23 GMT", "version": "v2" }, { "created": "Thu, 25 Apr 2019 21:24:05 GMT", "version": "v3" } ]
2019-04-29
[ [ "Yasunaga", "Michihiro", "" ], [ "Lafferty", "John", "" ] ]
Scientific documents rely on both mathematics and text to communicate ideas. Inspired by the topical correspondence between mathematical equations and word contexts observed in scientific texts, we propose a novel topic model that jointly generates mathematical equations and their surrounding text (TopicEq). Using an e...
1302.5442
Weisheng Si
Weisheng Si
Are Yao Graph and Theta Graph Void Free?
4 pages
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Greedy Forwarding algorithm is a widely-used routing algorithm for wireless networks. However, it can fail if network topologies (usually modeled by geometric graphs) contain voids. Since Yao Graph and Theta Graph are two types of geometric graphs exploited to construct wireless network topologies, this paper studies...
[ { "created": "Thu, 21 Feb 2013 22:09:08 GMT", "version": "v1" }, { "created": "Tue, 2 Jul 2013 23:04:20 GMT", "version": "v2" } ]
2013-07-04
[ [ "Si", "Weisheng", "" ] ]
Greedy Forwarding algorithm is a widely-used routing algorithm for wireless networks. However, it can fail if network topologies (usually modeled by geometric graphs) contain voids. Since Yao Graph and Theta Graph are two types of geometric graphs exploited to construct wireless network topologies, this paper studies w...
1011.1531
Jaydip Sen
Jaydip Sen
An Agent-Based Intrusion Detection System for Local Area Networks
13 pages, 5 figures, 2 tables
International Journal of Communication Networks and Information Security (IJCNIS), Vol 2, No 2, August 2010
null
null
cs.CR cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Since it is impossible to predict and identify all the vulnerabilities of a network beforehand, and penetration into a system by malicious intruders cannot always be prevented, intrusion detection systems (IDSs) are essential entities to ensure the security of a networked system. To be effective in carrying out their...
[ { "created": "Sat, 6 Nov 2010 01:05:20 GMT", "version": "v1" } ]
2010-11-13
[ [ "Sen", "Jaydip", "" ] ]
Since it is impossible to predict and identify all the vulnerabilities of a network beforehand, and penetration into a system by malicious intruders cannot always be prevented, intrusion detection systems (IDSs) are essential entities to ensure the security of a networked system. To be effective in carrying out their f...
1509.02840
Andrew Knyazev
Andrew Knyazev, Peizhen Zhu, Stefano Di Cairano
Explicit model predictive control accuracy analysis
6 pages, 7 figures. Accepted to IEEE CDC 2015
2015 54th IEEE Conference on Decision and Control (CDC), Osaka, 2015, pp. 2389-2394
10.1109/CDC.2015.7402565
MERL TR2015-149
cs.SY math.NA math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Model Predictive Control (MPC) can efficiently control constrained systems in real-time applications. MPC feedback law for a linear system with linear inequality constraints can be explicitly computed off-line, which results in an off-line partition of the state space into non-overlapped convex regions, with affine c...
[ { "created": "Wed, 9 Sep 2015 16:22:08 GMT", "version": "v1" } ]
2016-06-13
[ [ "Knyazev", "Andrew", "" ], [ "Zhu", "Peizhen", "" ], [ "Di Cairano", "Stefano", "" ] ]
Model Predictive Control (MPC) can efficiently control constrained systems in real-time applications. MPC feedback law for a linear system with linear inequality constraints can be explicitly computed off-line, which results in an off-line partition of the state space into non-overlapped convex regions, with affine con...
2407.08334
TianChen Wang
TianChen Wang
ADMM Based Semi-Structured Pattern Pruning Framework For Transformer
11 pages, 5 figures
null
null
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
NLP(natural language processsing) has achieved great success through the transformer model.However, the model has hundreds of millions or billions parameters,which is huge burden for its deployment on personal computer or small scale of server.To deal with it, we either make the model's weight matrix relatively spars...
[ { "created": "Thu, 11 Jul 2024 09:35:08 GMT", "version": "v1" }, { "created": "Fri, 12 Jul 2024 03:36:01 GMT", "version": "v2" }, { "created": "Sat, 20 Jul 2024 03:40:43 GMT", "version": "v3" } ]
2024-07-23
[ [ "Wang", "TianChen", "" ] ]
NLP(natural language processsing) has achieved great success through the transformer model.However, the model has hundreds of millions or billions parameters,which is huge burden for its deployment on personal computer or small scale of server.To deal with it, we either make the model's weight matrix relatively sparser...
2209.13017
Karish Grover
Karish Grover, S.M. Phaneendra Angara, Md. Shad Akhtar, Tanmoy Chakraborty
Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social-Text Classification
NeurIPS 2022
null
null
null
cs.CL cs.LG cs.SI
http://creativecommons.org/licenses/by/4.0/
Social media has become the fulcrum of all forms of communication. Classifying social texts such as fake news, rumour, sarcasm, etc. has gained significant attention. The surface-level signals expressed by a social-text itself may not be adequate for such tasks; therefore, recent methods attempted to incorporate othe...
[ { "created": "Thu, 15 Sep 2022 16:04:32 GMT", "version": "v1" }, { "created": "Tue, 11 Oct 2022 15:57:31 GMT", "version": "v2" } ]
2022-10-12
[ [ "Grover", "Karish", "" ], [ "Angara", "S. M. Phaneendra", "" ], [ "Akhtar", "Md. Shad", "" ], [ "Chakraborty", "Tanmoy", "" ] ]
Social media has become the fulcrum of all forms of communication. Classifying social texts such as fake news, rumour, sarcasm, etc. has gained significant attention. The surface-level signals expressed by a social-text itself may not be adequate for such tasks; therefore, recent methods attempted to incorporate other ...
2407.20530
Youqiang Zheng
Youqiang Zheng, Weiping Tu, Li Xiao, Xinmeng Xu
SuperCodec: A Neural Speech Codec with Selective Back-Projection Network
Accepted by ICASSP 2024
null
null
null
cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Neural speech coding is a rapidly developing topic, where state-of-the-art approaches now exhibit superior compression performance than conventional methods. Despite significant progress, existing methods still have limitations in preserving and reconstructing fine details for optimal reconstruction, especially at lo...
[ { "created": "Tue, 30 Jul 2024 04:12:17 GMT", "version": "v1" } ]
2024-07-31
[ [ "Zheng", "Youqiang", "" ], [ "Tu", "Weiping", "" ], [ "Xiao", "Li", "" ], [ "Xu", "Xinmeng", "" ] ]
Neural speech coding is a rapidly developing topic, where state-of-the-art approaches now exhibit superior compression performance than conventional methods. Despite significant progress, existing methods still have limitations in preserving and reconstructing fine details for optimal reconstruction, especially at low ...
2010.14503
Jean De Dieu Mutangana
Jean de Dieu Mutangana, Ravi Tandon
Topological Interference Management with Confidential Messages
Accepted and published in IEEE Transactions on Information Theory
null
null
null
cs.IT cs.CR math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The topological interference management (TIM) problem refers to the study of the K-user partially connected interference networks with no channel state information at the transmitters (CSIT), except for the knowledge of network topology. In this paper, we study the TIM problem with confidential messages (TIM-CM), whe...
[ { "created": "Tue, 27 Oct 2020 17:59:07 GMT", "version": "v1" }, { "created": "Mon, 30 Jan 2023 14:26:58 GMT", "version": "v2" } ]
2023-01-31
[ [ "Mutangana", "Jean de Dieu", "" ], [ "Tandon", "Ravi", "" ] ]
The topological interference management (TIM) problem refers to the study of the K-user partially connected interference networks with no channel state information at the transmitters (CSIT), except for the knowledge of network topology. In this paper, we study the TIM problem with confidential messages (TIM-CM), where...
2305.13469
Saurabh Srivastava
Saurabh Srivastava, Gaurav Singh, Shou Matsumoto, Ali Raz, Paulo Costa, Joshua Poore, Ziyu Yao
MAILEX: Email Event and Argument Extraction
Accepted at EMNLP 2023
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work, we present the first dataset, MailEx, for performing event extraction from conversational email threads. To this end, we first proposed a new taxonomy covering 10 event types and 76 arguments in the email domain. Our final dataset includes 1.5K email threads and ~4K emails, which are annotated with tota...
[ { "created": "Mon, 22 May 2023 20:28:23 GMT", "version": "v1" }, { "created": "Sat, 21 Oct 2023 02:15:22 GMT", "version": "v2" } ]
2023-10-24
[ [ "Srivastava", "Saurabh", "" ], [ "Singh", "Gaurav", "" ], [ "Matsumoto", "Shou", "" ], [ "Raz", "Ali", "" ], [ "Costa", "Paulo", "" ], [ "Poore", "Joshua", "" ], [ "Yao", "Ziyu", "" ] ]
In this work, we present the first dataset, MailEx, for performing event extraction from conversational email threads. To this end, we first proposed a new taxonomy covering 10 event types and 76 arguments in the email domain. Our final dataset includes 1.5K email threads and ~4K emails, which are annotated with totall...
1711.03473
Michel Melo Silva
Michel Melo Silva, Washington Luis Souza Ramos, Felipe Cadar Chamone, Jo\~ao Pedro Klock Ferreira, Mario Fernando Montenegro Campos, Erickson Rangel Nascimento
Making a long story short: A Multi-Importance fast-forwarding egocentric videos with the emphasis on relevant objects
Accepted to publication in the Journal of Visual Communication and Image Representation (JVCI) 2018. Project website: https://www.verlab.dcc.ufmg.br/semantic-hyperlapse
null
10.1016/j.jvcir.2018.02.013
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The emergence of low-cost high-quality personal wearable cameras combined with the increasing storage capacity of video-sharing websites have evoked a growing interest in first-person videos, since most videos are composed of long-running unedited streams which are usually tedious and unpleasant to watch. State-of-th...
[ { "created": "Thu, 9 Nov 2017 17:03:29 GMT", "version": "v1" }, { "created": "Thu, 1 Mar 2018 15:56:26 GMT", "version": "v2" }, { "created": "Wed, 7 Mar 2018 17:59:11 GMT", "version": "v3" } ]
2018-03-08
[ [ "Silva", "Michel Melo", "" ], [ "Ramos", "Washington Luis Souza", "" ], [ "Chamone", "Felipe Cadar", "" ], [ "Ferreira", "João Pedro Klock", "" ], [ "Campos", "Mario Fernando Montenegro", "" ], [ "Nascimento", "Erickson Rangel...
The emergence of low-cost high-quality personal wearable cameras combined with the increasing storage capacity of video-sharing websites have evoked a growing interest in first-person videos, since most videos are composed of long-running unedited streams which are usually tedious and unpleasant to watch. State-of-the-...
2002.05973
Dongfang Zhao
Dongfang Zhao
Algebraic Structure of Blockchains: A Group-Theoretical Primer
null
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Although recent advances of blockchain systems, notably in the form of cryptocurrency, have drawn tremendous interests from both researchers and practitioners, limited studies existed toward the theoretical foundation of blockchains. This paper presents the first study on the algebraic structure of blockchains with a...
[ { "created": "Fri, 14 Feb 2020 11:28:59 GMT", "version": "v1" } ]
2020-02-17
[ [ "Zhao", "Dongfang", "" ] ]
Although recent advances of blockchain systems, notably in the form of cryptocurrency, have drawn tremendous interests from both researchers and practitioners, limited studies existed toward the theoretical foundation of blockchains. This paper presents the first study on the algebraic structure of blockchains with an ...
2210.00058
Gino Chacon
Gino A. Chacon, Charles Williams, Johann Knechtel, Ozgur Sinanoglu, Paul V. Gratz
Hardware Trojan Threats to Cache Coherence in Modern 2.5D Chiplet Systems
null
null
null
null
cs.CR cs.AR
http://creativecommons.org/licenses/by/4.0/
As industry moves toward chiplet-based designs, the insertion of hardware Trojans poses a significant threat to the security of these systems. These systems rely heavily on cache coherence for coherent data communication, making coherence an attractive target. Critically, unlike prior work, which focuses only on mali...
[ { "created": "Fri, 30 Sep 2022 19:45:04 GMT", "version": "v1" } ]
2022-10-04
[ [ "Chacon", "Gino A.", "" ], [ "Williams", "Charles", "" ], [ "Knechtel", "Johann", "" ], [ "Sinanoglu", "Ozgur", "" ], [ "Gratz", "Paul V.", "" ] ]
As industry moves toward chiplet-based designs, the insertion of hardware Trojans poses a significant threat to the security of these systems. These systems rely heavily on cache coherence for coherent data communication, making coherence an attractive target. Critically, unlike prior work, which focuses only on malici...
1803.05069
Maofan Yin
Maofan Yin, Dahlia Malkhi, Michael K. Reiter, Guy Golan Gueta, Ittai Abraham
HotStuff: BFT Consensus in the Lens of Blockchain
a shorter version of this paper has been published in PODC'19, which does not include interpretation of other protocols using the framework, system evaluation or additional proofs in appendices
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present HotStuff, a leader-based Byzantine fault-tolerant replication protocol for the partially synchronous model. Once network communication becomes synchronous, HotStuff enables a correct leader to drive the protocol to consensus at the pace of actual (vs. maximum) network delay--a property called responsivenes...
[ { "created": "Tue, 13 Mar 2018 23:01:05 GMT", "version": "v1" }, { "created": "Thu, 18 Oct 2018 15:39:12 GMT", "version": "v2" }, { "created": "Mon, 18 Mar 2019 18:21:08 GMT", "version": "v3" }, { "created": "Tue, 2 Apr 2019 00:48:38 GMT", "version": "v4" }, { "cr...
2019-07-24
[ [ "Yin", "Maofan", "" ], [ "Malkhi", "Dahlia", "" ], [ "Reiter", "Michael K.", "" ], [ "Gueta", "Guy Golan", "" ], [ "Abraham", "Ittai", "" ] ]
We present HotStuff, a leader-based Byzantine fault-tolerant replication protocol for the partially synchronous model. Once network communication becomes synchronous, HotStuff enables a correct leader to drive the protocol to consensus at the pace of actual (vs. maximum) network delay--a property called responsiveness-...