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2403.06027
Adam Mahdi
Felix H. Krones, Ben Walker, Guy Parsons, Terry Lyons, Adam Mahdi
Multimodal deep learning approach to predicting neurological recovery from coma after cardiac arrest
5 figures, 2 tables
null
null
null
cs.LG eess.SP
http://creativecommons.org/licenses/by/4.0/
This work showcases our team's (The BEEGees) contributions to the 2023 George B. Moody PhysioNet Challenge. The aim was to predict neurological recovery from coma following cardiac arrest using clinical data and time-series such as multi-channel EEG and ECG signals. Our modelling approach is multimodal, based on two-...
[ { "created": "Sat, 9 Mar 2024 22:29:24 GMT", "version": "v1" } ]
2024-03-12
[ [ "Krones", "Felix H.", "" ], [ "Walker", "Ben", "" ], [ "Parsons", "Guy", "" ], [ "Lyons", "Terry", "" ], [ "Mahdi", "Adam", "" ] ]
This work showcases our team's (The BEEGees) contributions to the 2023 George B. Moody PhysioNet Challenge. The aim was to predict neurological recovery from coma following cardiac arrest using clinical data and time-series such as multi-channel EEG and ECG signals. Our modelling approach is multimodal, based on two-di...
2407.02870
Noam Koren
Noam Koren, Abigail Goldsteen, Ariel Farkash, Guy Amit
Membership Inference Attacks Against Time-Series Models
16 pages
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
Analyzing time-series data that may contain personal information, particularly in the medical field, presents serious privacy concerns. Sensitive health data from patients is often used to train machine-learning models for diagnostics and ongoing care. Assessing the privacy risk of such models is crucial to making kn...
[ { "created": "Wed, 3 Jul 2024 07:34:49 GMT", "version": "v1" } ]
2024-07-04
[ [ "Koren", "Noam", "" ], [ "Goldsteen", "Abigail", "" ], [ "Farkash", "Ariel", "" ], [ "Amit", "Guy", "" ] ]
Analyzing time-series data that may contain personal information, particularly in the medical field, presents serious privacy concerns. Sensitive health data from patients is often used to train machine-learning models for diagnostics and ongoing care. Assessing the privacy risk of such models is crucial to making know...
2311.12341
Ziye Qin
Ziye Qin and Ang Ji and Zhanbo Sun and Guoyuan Wu and Peng Hao and Xishun Liao
Game Theoretic Application to Intersection Management: A Literature Review
null
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The emergence of vehicle-to-everything (V2X) technology offers new insights into intersection management. This, however, has also presented new challenges, such as the need to understand and model the interactions of traffic participants, including their competition and cooperation behaviors. Game theory has been wid...
[ { "created": "Tue, 21 Nov 2023 04:25:08 GMT", "version": "v1" } ]
2023-11-22
[ [ "Qin", "Ziye", "" ], [ "Ji", "Ang", "" ], [ "Sun", "Zhanbo", "" ], [ "Wu", "Guoyuan", "" ], [ "Hao", "Peng", "" ], [ "Liao", "Xishun", "" ] ]
The emergence of vehicle-to-everything (V2X) technology offers new insights into intersection management. This, however, has also presented new challenges, such as the need to understand and model the interactions of traffic participants, including their competition and cooperation behaviors. Game theory has been widel...
1011.5677
Sachin Adlakha
Sachin Adlakha and Ramesh Johari
Mean Field Equilibrium in Dynamic Games with Complementarities
56 pages, 5 figures
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study a class of stochastic dynamic games that exhibit strategic complementarities between players; formally, in the games we consider, the payoff of a player has increasing differences between her own state and the empirical distribution of the states of other players. Such games can be used to model a diverse se...
[ { "created": "Thu, 25 Nov 2010 19:31:47 GMT", "version": "v1" } ]
2010-12-13
[ [ "Adlakha", "Sachin", "" ], [ "Johari", "Ramesh", "" ] ]
We study a class of stochastic dynamic games that exhibit strategic complementarities between players; formally, in the games we consider, the payoff of a player has increasing differences between her own state and the empirical distribution of the states of other players. Such games can be used to model a diverse set ...
2211.04927
Hanwei Zhu
Hanwei Zhu, Baoliang Chen, Lingyu Zhu, Shiqi Wang, and Weisi Lin
DeepDC: Deep Distance Correlation as a Perceptual Image Quality Evaluator
null
null
null
null
cs.CV eess.IV
http://creativecommons.org/licenses/by/4.0/
ImageNet pre-trained deep neural networks (DNNs) show notable transferability for building effective image quality assessment (IQA) models. Such a remarkable byproduct has often been identified as an emergent property in previous studies. In this work, we attribute such capability to the intrinsic texture-sensitive c...
[ { "created": "Wed, 9 Nov 2022 14:57:27 GMT", "version": "v1" }, { "created": "Fri, 24 Nov 2023 12:59:12 GMT", "version": "v2" } ]
2023-11-27
[ [ "Zhu", "Hanwei", "" ], [ "Chen", "Baoliang", "" ], [ "Zhu", "Lingyu", "" ], [ "Wang", "Shiqi", "" ], [ "Lin", "Weisi", "" ] ]
ImageNet pre-trained deep neural networks (DNNs) show notable transferability for building effective image quality assessment (IQA) models. Such a remarkable byproduct has often been identified as an emergent property in previous studies. In this work, we attribute such capability to the intrinsic texture-sensitive cha...
2004.14257
Aman Madaan
Aman Madaan, Amrith Setlur, Tanmay Parekh, Barnabas Poczos, Graham Neubig, Yiming Yang, Ruslan Salakhutdinov, Alan W Black, Shrimai Prabhumoye
Politeness Transfer: A Tag and Generate Approach
To appear at ACL 2020
null
null
null
cs.CL
http://creativecommons.org/licenses/by-sa/4.0/
This paper introduces a new task of politeness transfer which involves converting non-polite sentences to polite sentences while preserving the meaning. We also provide a dataset of more than 1.39 instances automatically labeled for politeness to encourage benchmark evaluations on this new task. We design a tag and g...
[ { "created": "Wed, 29 Apr 2020 15:08:53 GMT", "version": "v1" }, { "created": "Fri, 1 May 2020 22:33:41 GMT", "version": "v2" } ]
2020-05-05
[ [ "Madaan", "Aman", "" ], [ "Setlur", "Amrith", "" ], [ "Parekh", "Tanmay", "" ], [ "Poczos", "Barnabas", "" ], [ "Neubig", "Graham", "" ], [ "Yang", "Yiming", "" ], [ "Salakhutdinov", "Ruslan", "" ], [ ...
This paper introduces a new task of politeness transfer which involves converting non-polite sentences to polite sentences while preserving the meaning. We also provide a dataset of more than 1.39 instances automatically labeled for politeness to encourage benchmark evaluations on this new task. We design a tag and gen...
1612.01492
Jennifer Iglesias
Jennifer Iglesias and Rajmohan Rajaraman and R Ravi and Ravi Sundaram
Plane Gossip: Approximating rumor spread in planar graphs
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the design of schedules for multi-commodity multicast; we are given an undirected graph $G$ and a collection of source destination pairs, and the goal is to schedule a minimum-length sequence of matchings that connects every source with its respective destination. Multi-commodity multicast models a classic i...
[ { "created": "Mon, 5 Dec 2016 19:41:00 GMT", "version": "v1" }, { "created": "Fri, 14 Jul 2017 20:07:45 GMT", "version": "v2" } ]
2017-07-18
[ [ "Iglesias", "Jennifer", "" ], [ "Rajaraman", "Rajmohan", "" ], [ "Ravi", "R", "" ], [ "Sundaram", "Ravi", "" ] ]
We study the design of schedules for multi-commodity multicast; we are given an undirected graph $G$ and a collection of source destination pairs, and the goal is to schedule a minimum-length sequence of matchings that connects every source with its respective destination. Multi-commodity multicast models a classic inf...
2303.14476
Xiaoru Yuan
Can Liu, Yu Zhang, Cong Wu, Chen Li and Xiaoru Yuan
A Spatial-Constraint Model for Manipulating Static Visualizations
null
null
null
null
cs.HC
http://creativecommons.org/licenses/by/4.0/
We propose a spatial-constraint approach for modeling spatial-based interactions and enabling interactive visualizations, which involves the manipulation of visualizations through selection, filtering, navigation, arrangement, and aggregation. We proposes a system that activates static visualizations by adding intell...
[ { "created": "Sat, 25 Mar 2023 14:09:18 GMT", "version": "v1" }, { "created": "Wed, 20 Mar 2024 06:49:32 GMT", "version": "v2" } ]
2024-03-21
[ [ "Liu", "Can", "" ], [ "Zhang", "Yu", "" ], [ "Wu", "Cong", "" ], [ "Li", "Chen", "" ], [ "Yuan", "Xiaoru", "" ] ]
We propose a spatial-constraint approach for modeling spatial-based interactions and enabling interactive visualizations, which involves the manipulation of visualizations through selection, filtering, navigation, arrangement, and aggregation. We proposes a system that activates static visualizations by adding intellig...
2406.04356
Yi Yao
Yi Yao and Jun Wang and Yabai Hu and Lifeng Wang and Yi Zhou and Jack Chen and Xuming Gai and Zhenming Wang and Wenjun Liu
BugBlitz-AI: An Intelligent QA Assistant
null
null
null
null
cs.SE cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The evolution of software testing from manual to automated methods has significantly influenced quality assurance (QA) practices. However, challenges persist in post-execution phases, particularly in result analysis and reporting. Traditional post-execution validation phases require manual intervention for result ana...
[ { "created": "Fri, 17 May 2024 11:09:10 GMT", "version": "v1" } ]
2024-06-10
[ [ "Yao", "Yi", "" ], [ "Wang", "Jun", "" ], [ "Hu", "Yabai", "" ], [ "Wang", "Lifeng", "" ], [ "Zhou", "Yi", "" ], [ "Chen", "Jack", "" ], [ "Gai", "Xuming", "" ], [ "Wang", "Zhenming", "" ]...
The evolution of software testing from manual to automated methods has significantly influenced quality assurance (QA) practices. However, challenges persist in post-execution phases, particularly in result analysis and reporting. Traditional post-execution validation phases require manual intervention for result analy...
1601.00286
Christian Lorenz Staudt
Michael Hamann, Gerd Lindner, Henning Meyerhenke, Christian L. Staudt, Dorothea Wagner
Structure-Preserving Sparsification Methods for Social Networks
null
null
null
null
cs.SI cs.DC physics.soc-ph
http://creativecommons.org/licenses/by/4.0/
Sparsification reduces the size of networks while preserving structural and statistical properties of interest. Various sparsifying algorithms have been proposed in different contexts. We contribute the first systematic conceptual and experimental comparison of \textit{edge sparsification} methods on a diverse set of...
[ { "created": "Sun, 3 Jan 2016 12:28:37 GMT", "version": "v1" } ]
2016-01-05
[ [ "Hamann", "Michael", "" ], [ "Lindner", "Gerd", "" ], [ "Meyerhenke", "Henning", "" ], [ "Staudt", "Christian L.", "" ], [ "Wagner", "Dorothea", "" ] ]
Sparsification reduces the size of networks while preserving structural and statistical properties of interest. Various sparsifying algorithms have been proposed in different contexts. We contribute the first systematic conceptual and experimental comparison of \textit{edge sparsification} methods on a diverse set of n...
2301.01413
Yuren Cong
Yuren Cong, Martin Renqiang Min, Li Erran Li, Bodo Rosenhahn, Michael Ying Yang
Attribute-Centric Compositional Text-to-Image Generation
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Despite the recent impressive breakthroughs in text-to-image generation, generative models have difficulty in capturing the data distribution of underrepresented attribute compositions while over-memorizing overrepresented attribute compositions, which raises public concerns about their robustness and fairness. To ta...
[ { "created": "Wed, 4 Jan 2023 03:03:08 GMT", "version": "v1" } ]
2023-01-05
[ [ "Cong", "Yuren", "" ], [ "Min", "Martin Renqiang", "" ], [ "Li", "Li Erran", "" ], [ "Rosenhahn", "Bodo", "" ], [ "Yang", "Michael Ying", "" ] ]
Despite the recent impressive breakthroughs in text-to-image generation, generative models have difficulty in capturing the data distribution of underrepresented attribute compositions while over-memorizing overrepresented attribute compositions, which raises public concerns about their robustness and fairness. To tack...
1810.01489
Paul Liu
Paul Liu, Jan Vondrak
Submodular Optimization in the MapReduce Model
10 pages
null
null
null
cs.DC
http://creativecommons.org/licenses/by/4.0/
Submodular optimization has received significant attention in both practice and theory, as a wide array of problems in machine learning, auction theory, and combinatorial optimization have submodular structure. In practice, these problems often involve large amounts of data, and must be solved in a distributed way. O...
[ { "created": "Tue, 2 Oct 2018 20:08:27 GMT", "version": "v1" } ]
2018-10-04
[ [ "Liu", "Paul", "" ], [ "Vondrak", "Jan", "" ] ]
Submodular optimization has received significant attention in both practice and theory, as a wide array of problems in machine learning, auction theory, and combinatorial optimization have submodular structure. In practice, these problems often involve large amounts of data, and must be solved in a distributed way. One...
1904.11799
Mohit Sharma
Mohit Sharma, Jiayu Zhou, Junling Hu, George Karypis
Feature-based factorized Bilinear Similarity Model for Cold-Start Top-n Item Recommendation
9 pages, Proceedings of the 2015 SIAM International Conference on Data Mining
null
10.1137/1.9781611974010.22
null
cs.IR cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recommending new items to existing users has remained a challenging problem due to absence of user's past preferences for these items. The user personalized non-collaborative methods based on item features can be used to address this item cold-start problem. These methods rely on similarities between the target item ...
[ { "created": "Mon, 22 Apr 2019 05:10:48 GMT", "version": "v1" } ]
2019-04-29
[ [ "Sharma", "Mohit", "" ], [ "Zhou", "Jiayu", "" ], [ "Hu", "Junling", "" ], [ "Karypis", "George", "" ] ]
Recommending new items to existing users has remained a challenging problem due to absence of user's past preferences for these items. The user personalized non-collaborative methods based on item features can be used to address this item cold-start problem. These methods rely on similarities between the target item an...
1803.01221
Bhavya Kailkhura
Bhavya Kailkhura, Priyadip Ray, Deepak Rajan, Anton Yen, Peter Barnes, Ryan Goldhahn
Byzantine-Resilient Locally Optimum Detection Using Collaborative Autonomous Networks
Proceedings of the 2017 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2017), 10.-13. December 2017, Curacao, Dutch Antilles
null
null
null
cs.SY stat.OT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose a locally optimum detection (LOD) scheme for detecting a weak radioactive source buried in background clutter. We develop a decentralized algorithm, based on alternating direction method of multipliers (ADMM), for implementing the proposed scheme in autonomous sensor networks. Results show t...
[ { "created": "Sat, 3 Mar 2018 19:34:29 GMT", "version": "v1" } ]
2018-03-06
[ [ "Kailkhura", "Bhavya", "" ], [ "Ray", "Priyadip", "" ], [ "Rajan", "Deepak", "" ], [ "Yen", "Anton", "" ], [ "Barnes", "Peter", "" ], [ "Goldhahn", "Ryan", "" ] ]
In this paper, we propose a locally optimum detection (LOD) scheme for detecting a weak radioactive source buried in background clutter. We develop a decentralized algorithm, based on alternating direction method of multipliers (ADMM), for implementing the proposed scheme in autonomous sensor networks. Results show tha...
2303.14078
Jisoo Jeong
Jisoo Jeong, Hong Cai, Risheek Garrepalli, Fatih Porikli
DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling
CVPR 2023
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
We propose a novel data augmentation approach, DistractFlow, for training optical flow estimation models by introducing realistic distractions to the input frames. Based on a mixing ratio, we combine one of the frames in the pair with a distractor image depicting a similar domain, which allows for inducing visual per...
[ { "created": "Fri, 24 Mar 2023 15:42:54 GMT", "version": "v1" } ]
2023-03-27
[ [ "Jeong", "Jisoo", "" ], [ "Cai", "Hong", "" ], [ "Garrepalli", "Risheek", "" ], [ "Porikli", "Fatih", "" ] ]
We propose a novel data augmentation approach, DistractFlow, for training optical flow estimation models by introducing realistic distractions to the input frames. Based on a mixing ratio, we combine one of the frames in the pair with a distractor image depicting a similar domain, which allows for inducing visual pertu...
cs/0607095
Hyundong Shin
Hyundong Shin, Moe Z. Win
Gallager's Exponent for MIMO Channels: A Reliability-Rate Tradeoff
Submitted to the IEEE Transactions on Communications
null
null
null
cs.IT math.IT
null
In this paper, we derive Gallager's random coding error exponent for multiple-input multiple-output (MIMO) channels, assuming no channel-state information (CSI) at the transmitter and perfect CSI at the receiver. This measure gives insight into a fundamental tradeoff between the communication reliability and informat...
[ { "created": "Thu, 20 Jul 2006 06:56:02 GMT", "version": "v1" } ]
2007-07-13
[ [ "Shin", "Hyundong", "" ], [ "Win", "Moe Z.", "" ] ]
In this paper, we derive Gallager's random coding error exponent for multiple-input multiple-output (MIMO) channels, assuming no channel-state information (CSI) at the transmitter and perfect CSI at the receiver. This measure gives insight into a fundamental tradeoff between the communication reliability and informatio...
cs/0608098
Arvind Parthasarathy
Arvind Parthasarathy
Improved Content Based Image Watermarking
24 pages
null
null
null
cs.CR
null
This paper presents a robust and transparent scheme of watermarking that exploits the human visual systems' sensitivity to frequency, along with local image characteristics obtained from the spatial domain. The underlying idea is generating a visual mask based on the visual systems' perception of image content. This ...
[ { "created": "Fri, 25 Aug 2006 12:55:42 GMT", "version": "v1" } ]
2007-05-23
[ [ "Parthasarathy", "Arvind", "" ] ]
This paper presents a robust and transparent scheme of watermarking that exploits the human visual systems' sensitivity to frequency, along with local image characteristics obtained from the spatial domain. The underlying idea is generating a visual mask based on the visual systems' perception of image content. This ma...
1905.02265
Xusen Yin
Xusen Yin and Jonathan May
Comprehensible Context-driven Text Game Playing
IEEE Conference on Games 2019 Long Paper
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In order to train a computer agent to play a text-based computer game, we must represent each hidden state of the game. A Long Short-Term Memory (LSTM) model running over observed texts is a common choice for state construction. However, a normal Deep Q-learning Network (DQN) for such an agent requires millions of st...
[ { "created": "Mon, 6 May 2019 21:14:41 GMT", "version": "v1" }, { "created": "Sun, 2 Jun 2019 02:48:31 GMT", "version": "v2" }, { "created": "Thu, 29 Aug 2019 11:50:00 GMT", "version": "v3" } ]
2019-08-30
[ [ "Yin", "Xusen", "" ], [ "May", "Jonathan", "" ] ]
In order to train a computer agent to play a text-based computer game, we must represent each hidden state of the game. A Long Short-Term Memory (LSTM) model running over observed texts is a common choice for state construction. However, a normal Deep Q-learning Network (DQN) for such an agent requires millions of step...
2008.12813
Sanxing Chen
Sanxing Chen, Xiaodong Liu, Jianfeng Gao, Jian Jiao, Ruofei Zhang and Yangfeng Ji
HittER: Hierarchical Transformers for Knowledge Graph Embeddings
EMNLP 2021
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper examines the challenging problem of learning representations of entities and relations in a complex multi-relational knowledge graph. We propose HittER, a Hierarchical Transformer model to jointly learn Entity-relation composition and Relational contextualization based on a source entity's neighborhood. Ou...
[ { "created": "Fri, 28 Aug 2020 18:58:15 GMT", "version": "v1" }, { "created": "Wed, 6 Oct 2021 04:52:07 GMT", "version": "v2" } ]
2021-10-07
[ [ "Chen", "Sanxing", "" ], [ "Liu", "Xiaodong", "" ], [ "Gao", "Jianfeng", "" ], [ "Jiao", "Jian", "" ], [ "Zhang", "Ruofei", "" ], [ "Ji", "Yangfeng", "" ] ]
This paper examines the challenging problem of learning representations of entities and relations in a complex multi-relational knowledge graph. We propose HittER, a Hierarchical Transformer model to jointly learn Entity-relation composition and Relational contextualization based on a source entity's neighborhood. Our ...
2207.12872
Ishaan Bhat
Ishaan Bhat, Josien P.W. Pluim, Hugo J. Kuijf
Generalized Probabilistic U-Net for medical image segementation
Accepted at Uncertainty for Safe Utilization of Machine Learning in Medical Imaging (UNSURE) 2022
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
We propose the Generalized Probabilistic U-Net, which extends the Probabilistic U-Net by allowing more general forms of the Gaussian distribution as the latent space distribution that can better approximate the uncertainty in the reference segmentations. We study the effect the choice of latent space distribution has...
[ { "created": "Tue, 26 Jul 2022 13:03:37 GMT", "version": "v1" } ]
2022-07-27
[ [ "Bhat", "Ishaan", "" ], [ "Pluim", "Josien P. W.", "" ], [ "Kuijf", "Hugo J.", "" ] ]
We propose the Generalized Probabilistic U-Net, which extends the Probabilistic U-Net by allowing more general forms of the Gaussian distribution as the latent space distribution that can better approximate the uncertainty in the reference segmentations. We study the effect the choice of latent space distribution has o...
2302.13394
Ahmed Abulila
Ahmed Abulila, Izzat El Hajj, Myoungsoo Jung, Nam Sung Kim
Asynchronous Persistence with ASAP
2 pages, 2 figures, 14th Annual Non-Volatile Memories Workshop
null
null
null
cs.AR
http://creativecommons.org/licenses/by-nc-nd/4.0/
Supporting atomic durability of updates for persistent memories is typically achieved with Write-Ahead Logging (WAL). WAL flushes log entries to persistent memory before making the actual data persistent to ensure that a consistent state can be recovered if a crash occurs. Performing WAL in hardware is attractive bec...
[ { "created": "Sun, 26 Feb 2023 19:34:59 GMT", "version": "v1" } ]
2023-02-28
[ [ "Abulila", "Ahmed", "" ], [ "Hajj", "Izzat El", "" ], [ "Jung", "Myoungsoo", "" ], [ "Kim", "Nam Sung", "" ] ]
Supporting atomic durability of updates for persistent memories is typically achieved with Write-Ahead Logging (WAL). WAL flushes log entries to persistent memory before making the actual data persistent to ensure that a consistent state can be recovered if a crash occurs. Performing WAL in hardware is attractive becau...
2105.02432
Taotao Jing
Taotao Jing, Hongfu Liu, Zhengming Ding
Towards Novel Target Discovery Through Open-Set Domain Adaptation
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Open-set domain adaptation (OSDA) considers that the target domain contains samples from novel categories unobserved in external source domain. Unfortunately, existing OSDA methods always ignore the demand for the information of unseen categories and simply recognize them as "unknown" set without further explanation....
[ { "created": "Thu, 6 May 2021 04:22:29 GMT", "version": "v1" }, { "created": "Sun, 16 May 2021 22:32:43 GMT", "version": "v2" }, { "created": "Mon, 9 Aug 2021 17:12:45 GMT", "version": "v3" }, { "created": "Wed, 11 Aug 2021 18:32:16 GMT", "version": "v4" } ]
2021-08-13
[ [ "Jing", "Taotao", "" ], [ "Liu", "Hongfu", "" ], [ "Ding", "Zhengming", "" ] ]
Open-set domain adaptation (OSDA) considers that the target domain contains samples from novel categories unobserved in external source domain. Unfortunately, existing OSDA methods always ignore the demand for the information of unseen categories and simply recognize them as "unknown" set without further explanation. T...
2302.14533
Rajiv Kumar V
Rajiv Kumar, G. Sivakumar
DEff-GAN: Diverse Attribute Transfer for Few-Shot Image Synthesis
null
null
10.5220/0011799600003417
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Requirements of large amounts of data is a difficulty in training many GANs. Data efficient GANs involve fitting a generators continuous target distribution with a limited discrete set of data samples, which is a difficult task. Single image methods have focused on modeling the internal distribution of a single image...
[ { "created": "Tue, 28 Feb 2023 12:43:52 GMT", "version": "v1" } ]
2023-03-09
[ [ "Kumar", "Rajiv", "" ], [ "Sivakumar", "G.", "" ] ]
Requirements of large amounts of data is a difficulty in training many GANs. Data efficient GANs involve fitting a generators continuous target distribution with a limited discrete set of data samples, which is a difficult task. Single image methods have focused on modeling the internal distribution of a single image a...
1806.02681
Wanderson Ten\'orio
Carlos Munuera, Wanderson Ten\'orio, Fernando Torres
Locally Recoverable codes from algebraic curves with separated variables
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A Locally Recoverable code is an error-correcting code such that any erasure in a single coordinate of a codeword can be recovered from a small subset of other coordinates. We study Locally Recoverable Algebraic Geometry codes arising from certain curves defined by equations with separated variables. The recovery of ...
[ { "created": "Thu, 7 Jun 2018 13:48:35 GMT", "version": "v1" } ]
2018-06-08
[ [ "Munuera", "Carlos", "" ], [ "Tenório", "Wanderson", "" ], [ "Torres", "Fernando", "" ] ]
A Locally Recoverable code is an error-correcting code such that any erasure in a single coordinate of a codeword can be recovered from a small subset of other coordinates. We study Locally Recoverable Algebraic Geometry codes arising from certain curves defined by equations with separated variables. The recovery of er...
2104.00675
Hsin-Ying Lee
Yen-Chi Cheng, Chieh Hubert Lin, Hsin-Ying Lee, Jian Ren, Sergey Tulyakov, Ming-Hsuan Yang
In&Out : Diverse Image Outpainting via GAN Inversion
Project Page: https://yccyenchicheng.github.io/InOut/
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Image outpainting seeks for a semantically consistent extension of the input image beyond its available content. Compared to inpainting -- filling in missing pixels in a way coherent with the neighboring pixels -- outpainting can be achieved in more diverse ways since the problem is less constrained by the surroundin...
[ { "created": "Thu, 1 Apr 2021 17:59:10 GMT", "version": "v1" } ]
2021-04-02
[ [ "Cheng", "Yen-Chi", "" ], [ "Lin", "Chieh Hubert", "" ], [ "Lee", "Hsin-Ying", "" ], [ "Ren", "Jian", "" ], [ "Tulyakov", "Sergey", "" ], [ "Yang", "Ming-Hsuan", "" ] ]
Image outpainting seeks for a semantically consistent extension of the input image beyond its available content. Compared to inpainting -- filling in missing pixels in a way coherent with the neighboring pixels -- outpainting can be achieved in more diverse ways since the problem is less constrained by the surrounding ...
2112.09647
Matteo Dunnhofer
Matteo Dunnhofer, Alberto Zurini, Maurizio Dunnhofer, Christian Micheloni
Video-Based Reconstruction of the Trajectories Performed by Skiers
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-nd/4.0/
Trajectories are fundamental in different skiing disciplines. Tools enabling the analysis of such curves can enhance the training activity and enrich the broadcasting contents. However, the solutions currently available are based on geo-localized sensors and surface models. In this short paper, we propose a video-bas...
[ { "created": "Fri, 17 Dec 2021 17:40:06 GMT", "version": "v1" } ]
2021-12-20
[ [ "Dunnhofer", "Matteo", "" ], [ "Zurini", "Alberto", "" ], [ "Dunnhofer", "Maurizio", "" ], [ "Micheloni", "Christian", "" ] ]
Trajectories are fundamental in different skiing disciplines. Tools enabling the analysis of such curves can enhance the training activity and enrich the broadcasting contents. However, the solutions currently available are based on geo-localized sensors and surface models. In this short paper, we propose a video-based...
2109.00958
Juan David Guerrero Balaguera
Juan-David Guerrero-Balaguera, Josie E. Rodriguez Condia, Matteo Sonza Reorda
A Novel Compaction Approach for SBST Test Programs
Paper accepted to be presented in The 30th IEEE Asian Test Symposium (ATS 2021) November 22 - 25, 2021, Japan. to be published in the IEEE xplorer after the presentation in the event
null
null
null
cs.AR
http://creativecommons.org/licenses/by-nc-nd/4.0/
In-field test of processor-based devices is a must when considering safety-critical systems (e.g., in robotics, aerospace, and automotive applications). During in-field testing, different solutions can be adopted, depending on the specific constraints of each scenario. In the last years, Self-Test Libraries (STLs) de...
[ { "created": "Thu, 2 Sep 2021 13:58:02 GMT", "version": "v1" }, { "created": "Wed, 8 Sep 2021 12:07:03 GMT", "version": "v2" } ]
2021-09-09
[ [ "Guerrero-Balaguera", "Juan-David", "" ], [ "Condia", "Josie E. Rodriguez", "" ], [ "Reorda", "Matteo Sonza", "" ] ]
In-field test of processor-based devices is a must when considering safety-critical systems (e.g., in robotics, aerospace, and automotive applications). During in-field testing, different solutions can be adopted, depending on the specific constraints of each scenario. In the last years, Self-Test Libraries (STLs) deve...
2309.00504
Manuel Sorge
Alexander Firbas and Alexander Dobler and Fabian Holzer and Jakob Schafellner and Manuel Sorge and Ana\"is Villedieu and Monika Wi{\ss}mann
The Complexity of Cluster Vertex Splitting and Company
30 pages, 9 figures. Appears in SOFSEM 2024
null
null
null
cs.DS cs.CC cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Clustering a graph when the clusters can overlap can be seen from three different angles: We may look for cliques that cover the edges of the graph with bounded overlap, we may look to add or delete few edges to uncover the cluster structure, or we may split vertices to separate the clusters from each other. Splittin...
[ { "created": "Fri, 1 Sep 2023 14:51:28 GMT", "version": "v1" }, { "created": "Wed, 6 Sep 2023 12:24:07 GMT", "version": "v2" }, { "created": "Wed, 3 Apr 2024 13:20:13 GMT", "version": "v3" } ]
2024-04-04
[ [ "Firbas", "Alexander", "" ], [ "Dobler", "Alexander", "" ], [ "Holzer", "Fabian", "" ], [ "Schafellner", "Jakob", "" ], [ "Sorge", "Manuel", "" ], [ "Villedieu", "Anaïs", "" ], [ "Wißmann", "Monika", "" ]...
Clustering a graph when the clusters can overlap can be seen from three different angles: We may look for cliques that cover the edges of the graph with bounded overlap, we may look to add or delete few edges to uncover the cluster structure, or we may split vertices to separate the clusters from each other. Splitting ...
1605.01880
Kittipong Kittichokechai
Kittipong Kittichokechai and Giuseppe Caire
Privacy-Constrained Remote Source Coding
10 pages, 1 figure, to be presented at ISIT 2016
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the problem of revealing/sharing data in an efficient and secure way via a compact representation. The representation should ensure reliable reconstruction of the desired features/attributes while still preserve privacy of the secret parts of the data. The problem is formulated as a remote lossy source co...
[ { "created": "Fri, 6 May 2016 10:15:57 GMT", "version": "v1" } ]
2016-05-09
[ [ "Kittichokechai", "Kittipong", "" ], [ "Caire", "Giuseppe", "" ] ]
We consider the problem of revealing/sharing data in an efficient and secure way via a compact representation. The representation should ensure reliable reconstruction of the desired features/attributes while still preserve privacy of the secret parts of the data. The problem is formulated as a remote lossy source codi...
1804.00755
Mahmoud Mohammadi
Mahmoud Mohammadi, Bill Chu, Heather Richter Lipford
Detecting Cross-Site Scripting Vulnerabilities through Automated Unit Testing
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The best practice to prevent Cross Site Scripting (XSS) attacks is to apply encoders to sanitize untrusted data. To balance security and functionality, encoders should be applied to match the web page context, such as HTML body, JavaScript, and style sheets. A common programming error is the use of a wrong encoder to...
[ { "created": "Mon, 2 Apr 2018 22:59:18 GMT", "version": "v1" } ]
2018-04-04
[ [ "Mohammadi", "Mahmoud", "" ], [ "Chu", "Bill", "" ], [ "Lipford", "Heather Richter", "" ] ]
The best practice to prevent Cross Site Scripting (XSS) attacks is to apply encoders to sanitize untrusted data. To balance security and functionality, encoders should be applied to match the web page context, such as HTML body, JavaScript, and style sheets. A common programming error is the use of a wrong encoder to s...
2008.13300
Michael Luby
Michael Luby
SOPI design and analysis for LDN
This is a companion paper to the LDN paper that appears in ACM ICN 2020
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Liquid Data Networking (LDN) is an ICN architecture that is designed to enable the benefits of erasure-code enabled object delivery. A primary contribution of LDN is the introduction of SOPIs, which enables client s to concurrently download encoded data for the same object from multiple edge nodes, optimizes caching ...
[ { "created": "Mon, 31 Aug 2020 00:16:20 GMT", "version": "v1" }, { "created": "Sat, 5 Sep 2020 00:04:23 GMT", "version": "v2" } ]
2020-09-08
[ [ "Luby", "Michael", "" ] ]
Liquid Data Networking (LDN) is an ICN architecture that is designed to enable the benefits of erasure-code enabled object delivery. A primary contribution of LDN is the introduction of SOPIs, which enables client s to concurrently download encoded data for the same object from multiple edge nodes, optimizes caching ef...
2109.02941
Chandni Saxena
Mudit Chaudhary, Chandni Saxena, Helen Meng
Countering Online Hate Speech: An NLP Perspective
12 pages
null
null
null
cs.CL cs.LG
http://creativecommons.org/licenses/by/4.0/
Online hate speech has caught everyone's attention from the news related to the COVID-19 pandemic, US elections, and worldwide protests. Online toxicity - an umbrella term for online hateful behavior, manifests itself in forms such as online hate speech. Hate speech is a deliberate attack directed towards an individu...
[ { "created": "Tue, 7 Sep 2021 08:48:13 GMT", "version": "v1" } ]
2021-09-08
[ [ "Chaudhary", "Mudit", "" ], [ "Saxena", "Chandni", "" ], [ "Meng", "Helen", "" ] ]
Online hate speech has caught everyone's attention from the news related to the COVID-19 pandemic, US elections, and worldwide protests. Online toxicity - an umbrella term for online hateful behavior, manifests itself in forms such as online hate speech. Hate speech is a deliberate attack directed towards an individual...
2405.02580
Ye Liu
Ye Liu, Yue Xue, Daoyuan Wu, Yuqiang Sun, Yi Li, Miaolei Shi, Yang Liu
PropertyGPT: LLM-driven Formal Verification of Smart Contracts through Retrieval-Augmented Property Generation
null
null
null
null
cs.SE cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With recent advances in large language models (LLMs), this paper explores the potential of leveraging state-of-the-art LLMs, such as GPT-4, to transfer existing human-written properties (e.g., those from Certora auditing reports) and automatically generate customized properties for unknown code. To this end, we embed...
[ { "created": "Sat, 4 May 2024 06:28:27 GMT", "version": "v1" } ]
2024-05-07
[ [ "Liu", "Ye", "" ], [ "Xue", "Yue", "" ], [ "Wu", "Daoyuan", "" ], [ "Sun", "Yuqiang", "" ], [ "Li", "Yi", "" ], [ "Shi", "Miaolei", "" ], [ "Liu", "Yang", "" ] ]
With recent advances in large language models (LLMs), this paper explores the potential of leveraging state-of-the-art LLMs, such as GPT-4, to transfer existing human-written properties (e.g., those from Certora auditing reports) and automatically generate customized properties for unknown code. To this end, we embed e...
1708.00980
Yudong Guo
Yudong Guo, Juyong Zhang, Jianfei Cai, Boyi Jiang and Jianmin Zheng
CNN-based Real-time Dense Face Reconstruction with Inverse-rendered Photo-realistic Face Images
Accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the powerfulness of convolution neural networks (CNN), CNN based face reconstruction has recently shown promising performance in reconstructing detailed face shape from 2D face images. The success of CNN-based methods relies on a large number of labeled data. The state-of-the-art synthesizes such data using a co...
[ { "created": "Thu, 3 Aug 2017 03:18:34 GMT", "version": "v1" }, { "created": "Mon, 11 Sep 2017 11:32:01 GMT", "version": "v2" }, { "created": "Tue, 15 May 2018 07:02:35 GMT", "version": "v3" } ]
2018-05-16
[ [ "Guo", "Yudong", "" ], [ "Zhang", "Juyong", "" ], [ "Cai", "Jianfei", "" ], [ "Jiang", "Boyi", "" ], [ "Zheng", "Jianmin", "" ] ]
With the powerfulness of convolution neural networks (CNN), CNN based face reconstruction has recently shown promising performance in reconstructing detailed face shape from 2D face images. The success of CNN-based methods relies on a large number of labeled data. The state-of-the-art synthesizes such data using a coar...
2309.04175
Haochun Wang
Haochun Wang, Sendong Zhao, Zewen Qiang, Zijian Li, Nuwa Xi, Yanrui Du, MuZhen Cai, Haoqiang Guo, Yuhan Chen, Haoming Xu, Bing Qin, Ting Liu
Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Reliable Response Generation in Chinese
11 pages, 5 figures
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large Language Models (LLMs) have demonstrated remarkable success in diverse natural language processing (NLP) tasks in general domains. However, LLMs sometimes generate responses with the hallucination about medical facts due to limited domain knowledge. Such shortcomings pose potential risks in the utilization of L...
[ { "created": "Fri, 8 Sep 2023 07:42:57 GMT", "version": "v1" } ]
2023-09-11
[ [ "Wang", "Haochun", "" ], [ "Zhao", "Sendong", "" ], [ "Qiang", "Zewen", "" ], [ "Li", "Zijian", "" ], [ "Xi", "Nuwa", "" ], [ "Du", "Yanrui", "" ], [ "Cai", "MuZhen", "" ], [ "Guo", "Haoqiang", ...
Large Language Models (LLMs) have demonstrated remarkable success in diverse natural language processing (NLP) tasks in general domains. However, LLMs sometimes generate responses with the hallucination about medical facts due to limited domain knowledge. Such shortcomings pose potential risks in the utilization of LLM...
2303.16611
Sebastien Valette Dr
Kaifeng Zou, Sylvain Faisan, Boyang Yu, S\'ebastien Valette, Hyewon Seo
4D Facial Expression Diffusion Model
null
null
10.1145/3653455
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Facial expression generation is one of the most challenging and long-sought aspects of character animation, with many interesting applications. The challenging task, traditionally having relied heavily on digital craftspersons, remains yet to be explored. In this paper, we introduce a generative framework for generat...
[ { "created": "Wed, 29 Mar 2023 11:50:21 GMT", "version": "v1" }, { "created": "Mon, 15 Apr 2024 13:29:47 GMT", "version": "v2" } ]
2024-04-16
[ [ "Zou", "Kaifeng", "" ], [ "Faisan", "Sylvain", "" ], [ "Yu", "Boyang", "" ], [ "Valette", "Sébastien", "" ], [ "Seo", "Hyewon", "" ] ]
Facial expression generation is one of the most challenging and long-sought aspects of character animation, with many interesting applications. The challenging task, traditionally having relied heavily on digital craftspersons, remains yet to be explored. In this paper, we introduce a generative framework for generatin...
2405.03734
Xiaoning Wang
Silan Hu, Xiaoning Wang
FOKE: A Personalized and Explainable Education Framework Integrating Foundation Models, Knowledge Graphs, and Prompt Engineering
null
null
null
null
cs.HC cs.AI stat.AP
http://creativecommons.org/licenses/by/4.0/
Integrating large language models (LLMs) and knowledge graphs (KGs) holds great promise for revolutionizing intelligent education, but challenges remain in achieving personalization, interactivity, and explainability. We propose FOKE, a Forest Of Knowledge and Education framework that synergizes foundation models, kn...
[ { "created": "Mon, 6 May 2024 15:11:05 GMT", "version": "v1" } ]
2024-05-08
[ [ "Hu", "Silan", "" ], [ "Wang", "Xiaoning", "" ] ]
Integrating large language models (LLMs) and knowledge graphs (KGs) holds great promise for revolutionizing intelligent education, but challenges remain in achieving personalization, interactivity, and explainability. We propose FOKE, a Forest Of Knowledge and Education framework that synergizes foundation models, know...
1612.03052
Joe Yue-Hei Ng
Joe Yue-Hei Ng, Jonghyun Choi, Jan Neumann, Larry S. Davis
ActionFlowNet: Learning Motion Representation for Action Recognition
WACV 2018
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Even with the recent advances in convolutional neural networks (CNN) in various visual recognition tasks, the state-of-the-art action recognition system still relies on hand crafted motion feature such as optical flow to achieve the best performance. We propose a multitask learning model ActionFlowNet to train a sing...
[ { "created": "Fri, 9 Dec 2016 15:20:23 GMT", "version": "v1" }, { "created": "Fri, 21 Apr 2017 01:45:42 GMT", "version": "v2" }, { "created": "Fri, 16 Feb 2018 22:15:25 GMT", "version": "v3" } ]
2018-02-20
[ [ "Ng", "Joe Yue-Hei", "" ], [ "Choi", "Jonghyun", "" ], [ "Neumann", "Jan", "" ], [ "Davis", "Larry S.", "" ] ]
Even with the recent advances in convolutional neural networks (CNN) in various visual recognition tasks, the state-of-the-art action recognition system still relies on hand crafted motion feature such as optical flow to achieve the best performance. We propose a multitask learning model ActionFlowNet to train a single...
1904.10386
Mario Gleirscher
Mario Gleirscher
Risk Structures: Towards Engineering Risk-aware Autonomous Systems
null
null
10.1007/s00165-021-00545-4
null
cs.SE cs.AI cs.RO
http://creativecommons.org/licenses/by/4.0/
Inspired by widely-used techniques of causal modelling in risk, failure, and accident analysis, this work discusses a compositional framework for risk modelling. Risk models capture fragments of the space of risky events likely to occur when operating a machine in a given environment. Moreover, one can build such mod...
[ { "created": "Tue, 23 Apr 2019 15:29:00 GMT", "version": "v1" } ]
2021-12-22
[ [ "Gleirscher", "Mario", "" ] ]
Inspired by widely-used techniques of causal modelling in risk, failure, and accident analysis, this work discusses a compositional framework for risk modelling. Risk models capture fragments of the space of risky events likely to occur when operating a machine in a given environment. Moreover, one can build such model...
2301.07634
Panagiotis Meletis
Panagiotis Meletis, Gijs Dubbelman
Training Semantic Segmentation on Heterogeneous Datasets
Submitted 2021 (under review)
null
null
null
cs.CV cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
We explore semantic segmentation beyond the conventional, single-dataset homogeneous training and bring forward the problem of Heterogeneous Training of Semantic Segmentation (HTSS). HTSS involves simultaneous training on multiple heterogeneous datasets, i.e. datasets with conflicting label spaces and different (weak...
[ { "created": "Wed, 18 Jan 2023 16:22:40 GMT", "version": "v1" } ]
2023-01-19
[ [ "Meletis", "Panagiotis", "" ], [ "Dubbelman", "Gijs", "" ] ]
We explore semantic segmentation beyond the conventional, single-dataset homogeneous training and bring forward the problem of Heterogeneous Training of Semantic Segmentation (HTSS). HTSS involves simultaneous training on multiple heterogeneous datasets, i.e. datasets with conflicting label spaces and different (weak) ...
1906.10104
Weilian Song
Weilian Song, Tawfiq Salem, Hunter Blanton, Nathan Jacobs
Remote Estimation of Free-Flow Speeds
4 pages, 4 figures, IGARSS 2019 camera-ready submission
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose an automated method to estimate a road segment's free-flow speed from overhead imagery and road metadata. The free-flow speed of a road segment is the average observed vehicle speed in ideal conditions, without congestion or adverse weather. Standard practice for estimating free-flow speeds depends on seve...
[ { "created": "Mon, 24 Jun 2019 17:41:46 GMT", "version": "v1" } ]
2019-06-25
[ [ "Song", "Weilian", "" ], [ "Salem", "Tawfiq", "" ], [ "Blanton", "Hunter", "" ], [ "Jacobs", "Nathan", "" ] ]
We propose an automated method to estimate a road segment's free-flow speed from overhead imagery and road metadata. The free-flow speed of a road segment is the average observed vehicle speed in ideal conditions, without congestion or adverse weather. Standard practice for estimating free-flow speeds depends on severa...
1508.06710
EPTCS
Pedro R. D'Argenio (FaMAF, Universidad Nacional de C\'ordoba - CONICET), Matias David Lee (FaMAF, Universidad Nacional de C\'ordoba - CONICET), Daniel Gebler (Department of Computer Science, VU University Amsterdam)
SOS rule formats for convex and abstract probabilistic bisimulations
In Proceedings EXPRESS/SOS 2015, arXiv:1508.06347
EPTCS 190, 2015, pp. 31-45
10.4204/EPTCS.190.3
null
cs.LO cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Probabilistic transition system specifications (PTSSs) in the $nt \mu f\theta / nt\mu x\theta$ format provide structural operational semantics for Segala-type systems that exhibit both probabilistic and nondeterministic behavior and guarantee that bisimilarity is a congruence for all operator defined in such format. ...
[ { "created": "Thu, 27 Aug 2015 03:21:26 GMT", "version": "v1" } ]
2015-08-28
[ [ "D'Argenio", "Pedro R.", "", "FaMAF, Universidad Nacional de Córdoba -\n CONICET" ], [ "Lee", "Matias David", "", "FaMAF, Universidad Nacional de Córdoba -\n CONICET" ], [ "Gebler", "Daniel", "", "Department of Computer Science, VU University\n Amsterdam"...
Probabilistic transition system specifications (PTSSs) in the $nt \mu f\theta / nt\mu x\theta$ format provide structural operational semantics for Segala-type systems that exhibit both probabilistic and nondeterministic behavior and guarantee that bisimilarity is a congruence for all operator defined in such format. St...
2205.00772
Jonas Falkner
Jonas K. Falkner, Daniela Thyssens, Lars Schmidt-Thieme
Large Neighborhood Search based on Neural Construction Heuristics
null
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by-sa/4.0/
We propose a Large Neighborhood Search (LNS) approach utilizing a learned construction heuristic based on neural networks as repair operator to solve the vehicle routing problem with time windows (VRPTW). Our method uses graph neural networks to encode the problem and auto-regressively decodes a solution and is train...
[ { "created": "Mon, 2 May 2022 09:38:19 GMT", "version": "v1" }, { "created": "Tue, 10 May 2022 12:02:44 GMT", "version": "v2" } ]
2022-05-11
[ [ "Falkner", "Jonas K.", "" ], [ "Thyssens", "Daniela", "" ], [ "Schmidt-Thieme", "Lars", "" ] ]
We propose a Large Neighborhood Search (LNS) approach utilizing a learned construction heuristic based on neural networks as repair operator to solve the vehicle routing problem with time windows (VRPTW). Our method uses graph neural networks to encode the problem and auto-regressively decodes a solution and is trained...
2406.07393
Peng Hu
Peng Hu, Changjiang Gao, Ruiqi Gao, Jiajun Chen, and Shujian Huang
Limited Out-of-Context Knowledge Reasoning in Large Language Models
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Large Language Models (LLMs) have demonstrated strong capabilities as knowledge bases and significant in-context reasoning capabilities. However, previous work challenges their out-of-context reasoning ability, i.e., the ability to infer information from their training data, instead of from the context or prompt. Thi...
[ { "created": "Tue, 11 Jun 2024 15:58:59 GMT", "version": "v1" }, { "created": "Mon, 24 Jun 2024 14:59:54 GMT", "version": "v2" } ]
2024-06-25
[ [ "Hu", "Peng", "" ], [ "Gao", "Changjiang", "" ], [ "Gao", "Ruiqi", "" ], [ "Chen", "Jiajun", "" ], [ "Huang", "Shujian", "" ] ]
Large Language Models (LLMs) have demonstrated strong capabilities as knowledge bases and significant in-context reasoning capabilities. However, previous work challenges their out-of-context reasoning ability, i.e., the ability to infer information from their training data, instead of from the context or prompt. This ...
2203.08737
Giorgos Armeniakos
Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, J\"org Henkel
Hardware Approximate Techniques for Deep Neural Network Accelerators: A Survey
This paper has been accepted by ACM Computing Surveys (CSUR), 2022
ACM Computing Surveys 2022
10.1145/3527156
null
cs.AR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep Neural Networks (DNNs) are very popular because of their high performance in various cognitive tasks in Machine Learning (ML). Recent advancements in DNNs have brought beyond human accuracy in many tasks, but at the cost of high computational complexity. To enable efficient execution of DNN inference, more and m...
[ { "created": "Wed, 16 Mar 2022 16:33:13 GMT", "version": "v1" } ]
2022-03-18
[ [ "Armeniakos", "Giorgos", "" ], [ "Zervakis", "Georgios", "" ], [ "Soudris", "Dimitrios", "" ], [ "Henkel", "Jörg", "" ] ]
Deep Neural Networks (DNNs) are very popular because of their high performance in various cognitive tasks in Machine Learning (ML). Recent advancements in DNNs have brought beyond human accuracy in many tasks, but at the cost of high computational complexity. To enable efficient execution of DNN inference, more and mor...
2401.15966
Kenta Izumi
Kenta Izumi, Hiroki Tanaka, Kazuhiro Shidara, Hiroyoshi Adachi, Daisuke Kanayama, Takashi Kudo, and Satoshi Nakamura
Response Generation for Cognitive Behavioral Therapy with Large Language Models: Comparative Study with Socratic Questioning
Accepted by IWSDS2024
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
Dialogue systems controlled by predefined or rule-based scenarios derived from counseling techniques, such as cognitive behavioral therapy (CBT), play an important role in mental health apps. Despite the need for responsible responses, it is conceivable that using the newly emerging LLMs to generate contextually rele...
[ { "created": "Mon, 29 Jan 2024 08:53:41 GMT", "version": "v1" } ]
2024-01-30
[ [ "Izumi", "Kenta", "" ], [ "Tanaka", "Hiroki", "" ], [ "Shidara", "Kazuhiro", "" ], [ "Adachi", "Hiroyoshi", "" ], [ "Kanayama", "Daisuke", "" ], [ "Kudo", "Takashi", "" ], [ "Nakamura", "Satoshi", "" ] ]
Dialogue systems controlled by predefined or rule-based scenarios derived from counseling techniques, such as cognitive behavioral therapy (CBT), play an important role in mental health apps. Despite the need for responsible responses, it is conceivable that using the newly emerging LLMs to generate contextually releva...
0708.1150
Marko Antonio Rodriguez
Marko A. Rodriguez, Johah Bollen, Herbert Van de Sompel
A Practical Ontology for the Large-Scale Modeling of Scholarly Artifacts and their Usage
null
Proceedings of the IEEE/ACM Joint Conference on Digital Libraries (JCDL'07), pp. 278-287, 2007
10.1145/1255175.1255229
null
cs.DL cs.AI
null
The large-scale analysis of scholarly artifact usage is constrained primarily by current practices in usage data archiving, privacy issues concerned with the dissemination of usage data, and the lack of a practical ontology for modeling the usage domain. As a remedy to the third constraint, this article presents a sc...
[ { "created": "Wed, 8 Aug 2007 17:06:55 GMT", "version": "v1" } ]
2007-08-09
[ [ "Rodriguez", "Marko A.", "" ], [ "Bollen", "Johah", "" ], [ "Van de Sompel", "Herbert", "" ] ]
The large-scale analysis of scholarly artifact usage is constrained primarily by current practices in usage data archiving, privacy issues concerned with the dissemination of usage data, and the lack of a practical ontology for modeling the usage domain. As a remedy to the third constraint, this article presents a scho...
1905.09514
Min Qiu
Min Qiu, Yu-Chih Huang, Jinhong Yuan
Downlink Non-Orthogonal Multiple Access without SIC for Block Fading Channels: An Algebraic Rotation Approach
15 pages, 8 figures, accepted by IEEE Transactions on Wireless Communications
null
10.1109/TWC.2019.2919292
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we investigate the problem of downlink non-orthogonal multiple access (NOMA) over block fading channels. For the single antenna case, we propose a class of NOMA schemes where all the users' signals are mapped into $n$-dimensional constellations corresponding to the same algebraic lattices from a number...
[ { "created": "Thu, 23 May 2019 07:45:07 GMT", "version": "v1" } ]
2019-06-18
[ [ "Qiu", "Min", "" ], [ "Huang", "Yu-Chih", "" ], [ "Yuan", "Jinhong", "" ] ]
In this paper, we investigate the problem of downlink non-orthogonal multiple access (NOMA) over block fading channels. For the single antenna case, we propose a class of NOMA schemes where all the users' signals are mapped into $n$-dimensional constellations corresponding to the same algebraic lattices from a number f...
2002.07418
Peng Zhang
Peng Zhang, Jianye Hao, Weixun Wang, Hongyao Tang, Yi Ma, Yihai Duan, Yan Zheng
KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge
null
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Reinforcement learning agents usually learn from scratch, which requires a large number of interactions with the environment. This is quite different from the learning process of human. When faced with a new task, human naturally have the common sense and use the prior knowledge to derive an initial policy and guide ...
[ { "created": "Tue, 18 Feb 2020 07:58:27 GMT", "version": "v1" }, { "created": "Thu, 21 May 2020 07:02:41 GMT", "version": "v2" } ]
2020-05-22
[ [ "Zhang", "Peng", "" ], [ "Hao", "Jianye", "" ], [ "Wang", "Weixun", "" ], [ "Tang", "Hongyao", "" ], [ "Ma", "Yi", "" ], [ "Duan", "Yihai", "" ], [ "Zheng", "Yan", "" ] ]
Reinforcement learning agents usually learn from scratch, which requires a large number of interactions with the environment. This is quite different from the learning process of human. When faced with a new task, human naturally have the common sense and use the prior knowledge to derive an initial policy and guide th...
2108.01154
Ali Raheem Mandeel
Ali Raheem Mandeel, Mohammed Salah Al-Radhi, Tam\'as G\'abor Csap\'o
Speaker Adaptation with Continuous Vocoder-based DNN-TTS
10 pages, 3 figures, 23RD INTERNATIONAL CONFERENCE ON SPEECH AND COMPUTER SPECOM 2021
null
null
null
cs.SD eess.AS
http://creativecommons.org/licenses/by/4.0/
Traditional vocoder-based statistical parametric speech synthesis can be advantageous in applications that require low computational complexity. Recent neural vocoders, which can produce high naturalness, still cannot fulfill the requirement of being real-time during synthesis. In this paper, we experiment with our e...
[ { "created": "Mon, 2 Aug 2021 20:08:07 GMT", "version": "v1" } ]
2021-08-04
[ [ "Mandeel", "Ali Raheem", "" ], [ "Al-Radhi", "Mohammed Salah", "" ], [ "Csapó", "Tamás Gábor", "" ] ]
Traditional vocoder-based statistical parametric speech synthesis can be advantageous in applications that require low computational complexity. Recent neural vocoders, which can produce high naturalness, still cannot fulfill the requirement of being real-time during synthesis. In this paper, we experiment with our ear...
1609.08154
Zhiyong Shan
Zhiyong Shan, Yu-fang Sun
Implementing RBAC model in An Operating System Kernel
in Chinese
null
null
null
cs.OS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, the implementation of an operating system oriented RBAC model is discussed. Firstly, on the basis of RBAC96 model, a new RBAC model named OSR is presented. Secondly, the OSR model is enforced in RFSOS kernel by the way of integrating GFAC method and Capability mechanism together. All parts of the OSR i...
[ { "created": "Mon, 26 Sep 2016 17:36:18 GMT", "version": "v1" } ]
2016-09-28
[ [ "Shan", "Zhiyong", "" ], [ "Sun", "Yu-fang", "" ] ]
In this paper, the implementation of an operating system oriented RBAC model is discussed. Firstly, on the basis of RBAC96 model, a new RBAC model named OSR is presented. Secondly, the OSR model is enforced in RFSOS kernel by the way of integrating GFAC method and Capability mechanism together. All parts of the OSR imp...
1903.00172
Yoshihiko Suhara
Nikita Bhutani, Yoshihiko Suhara, Wang-Chiew Tan, Alon Halevy, H. V. Jagadish
Open Information Extraction from Question-Answer Pairs
NAACL 2019
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Open Information Extraction (OpenIE) extracts meaningful structured tuples from free-form text. Most previous work on OpenIE considers extracting data from one sentence at a time. We describe NeurON, a system for extracting tuples from question-answer pairs. Since real questions and answers often contain precisely th...
[ { "created": "Fri, 1 Mar 2019 06:26:50 GMT", "version": "v1" }, { "created": "Sat, 6 Apr 2019 08:56:40 GMT", "version": "v2" } ]
2019-04-09
[ [ "Bhutani", "Nikita", "" ], [ "Suhara", "Yoshihiko", "" ], [ "Tan", "Wang-Chiew", "" ], [ "Halevy", "Alon", "" ], [ "Jagadish", "H. V.", "" ] ]
Open Information Extraction (OpenIE) extracts meaningful structured tuples from free-form text. Most previous work on OpenIE considers extracting data from one sentence at a time. We describe NeurON, a system for extracting tuples from question-answer pairs. Since real questions and answers often contain precisely the ...
1910.09579
Steven W.T. Cheung
Steven W.T. Cheung, Dan R. Ghica, Koko Muroya
Transparent Synchronous Dataflow
null
The Art, Science, and Engineering of Programming, 2021, Vol. 5, Issue 3, Article 12
10.22152/programming-journal.org/2021/5/12
null
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Dataflow programming is a popular and convenient programming paradigm in systems modelling, optimisation, and machine learning. It has a number of advantages, for instance the lacks of control flow allows computation to be carried out in parallel as well as in distributed machines. More recently the idea of dataflow ...
[ { "created": "Mon, 21 Oct 2019 18:12:46 GMT", "version": "v1" }, { "created": "Mon, 1 Mar 2021 21:12:23 GMT", "version": "v2" } ]
2021-03-03
[ [ "Cheung", "Steven W. T.", "" ], [ "Ghica", "Dan R.", "" ], [ "Muroya", "Koko", "" ] ]
Dataflow programming is a popular and convenient programming paradigm in systems modelling, optimisation, and machine learning. It has a number of advantages, for instance the lacks of control flow allows computation to be carried out in parallel as well as in distributed machines. More recently the idea of dataflow gr...
2004.03424
Joon Sik Kim
Joon Sik Kim, Jiahao Chen, Ameet Talwalkar
FACT: A Diagnostic for Group Fairness Trade-offs
Accepted to International Conference on Machine Learning (ICML 2020)
null
null
null
cs.LG cs.CY stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Group fairness, a class of fairness notions that measure how different groups of individuals are treated differently according to their protected attributes, has been shown to conflict with one another, often with a necessary cost in loss of model's predictive performance. We propose a general diagnostic that enables...
[ { "created": "Tue, 7 Apr 2020 14:15:51 GMT", "version": "v1" }, { "created": "Wed, 8 Apr 2020 17:55:32 GMT", "version": "v2" }, { "created": "Tue, 7 Jul 2020 17:34:11 GMT", "version": "v3" } ]
2020-07-08
[ [ "Kim", "Joon Sik", "" ], [ "Chen", "Jiahao", "" ], [ "Talwalkar", "Ameet", "" ] ]
Group fairness, a class of fairness notions that measure how different groups of individuals are treated differently according to their protected attributes, has been shown to conflict with one another, often with a necessary cost in loss of model's predictive performance. We propose a general diagnostic that enables s...
2307.08233
Liu Liu
Liu Liu, Shuaifeng Zhi, Zhenhua Du, Li Liu, Xinyu Zhang, Kai Huo, and Weidong Jiang
ROFusion: Efficient Object Detection using Hybrid Point-wise Radar-Optical Fusion
null
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Radars, due to their robustness to adverse weather conditions and ability to measure object motions, have served in autonomous driving and intelligent agents for years. However, Radar-based perception suffers from its unintuitive sensing data, which lack of semantic and structural information of scenes. To tackle thi...
[ { "created": "Mon, 17 Jul 2023 04:25:46 GMT", "version": "v1" } ]
2023-07-18
[ [ "Liu", "Liu", "" ], [ "Zhi", "Shuaifeng", "" ], [ "Du", "Zhenhua", "" ], [ "Liu", "Li", "" ], [ "Zhang", "Xinyu", "" ], [ "Huo", "Kai", "" ], [ "Jiang", "Weidong", "" ] ]
Radars, due to their robustness to adverse weather conditions and ability to measure object motions, have served in autonomous driving and intelligent agents for years. However, Radar-based perception suffers from its unintuitive sensing data, which lack of semantic and structural information of scenes. To tackle this ...
cs/0106006
Aspassia Daskalopulu
Aspassia Daskalopulu, Marek Sergot
A Constraint-Driven System for Contract Assembly
null
Proc. 5th International Conference on Artificial Intelligence and Law, ACM Press, pp. 62-69, 1995
null
null
cs.AI
null
We present an approach for modelling the structure and coarse content of legal documents with a view to providing automated support for the drafting of contracts and contract database retrieval. The approach is designed to be applicable where contract drafting is based on model-form contracts or on existing examples ...
[ { "created": "Thu, 7 Jun 2001 14:27:30 GMT", "version": "v1" } ]
2007-05-23
[ [ "Daskalopulu", "Aspassia", "" ], [ "Sergot", "Marek", "" ] ]
We present an approach for modelling the structure and coarse content of legal documents with a view to providing automated support for the drafting of contracts and contract database retrieval. The approach is designed to be applicable where contract drafting is based on model-form contracts or on existing examples of...
2210.03154
Loukas Ilias
Konstantinos Psychogyios, Loukas Ilias, Dimitris Askounis
Comparison of Missing Data Imputation Methods using the Framingham Heart study dataset
2022 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)
null
10.1109/BHI56158.2022.9926882
null
cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
Cardiovascular disease (CVD) is a class of diseases that involve the heart or blood vessels and according to World Health Organization is the leading cause of death worldwide. EHR data regarding this case, as well as medical cases in general, contain missing values very frequently. The percentage of missingness may v...
[ { "created": "Thu, 6 Oct 2022 18:35:08 GMT", "version": "v1" }, { "created": "Mon, 10 Oct 2022 07:22:00 GMT", "version": "v2" } ]
2022-11-08
[ [ "Psychogyios", "Konstantinos", "" ], [ "Ilias", "Loukas", "" ], [ "Askounis", "Dimitris", "" ] ]
Cardiovascular disease (CVD) is a class of diseases that involve the heart or blood vessels and according to World Health Organization is the leading cause of death worldwide. EHR data regarding this case, as well as medical cases in general, contain missing values very frequently. The percentage of missingness may var...
2405.17914
Xiumei Deng
Xiumei Deng, Jun Li, Long Shi, Kang Wei, Ming Ding, Yumeng Shao, Wen Chen, Shi Jin
Trustworthy DNN Partition for Blockchain-enabled Digital Twin in Wireless IIoT Networks
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Digital twin (DT) has emerged as a promising solution to enhance manufacturing efficiency in industrial Internet of Things (IIoT) networks. To promote the efficiency and trustworthiness of DT for wireless IIoT networks, we propose a blockchain-enabled DT (B-DT) framework that employs deep neural network (DNN) partiti...
[ { "created": "Tue, 28 May 2024 07:34:12 GMT", "version": "v1" } ]
2024-05-29
[ [ "Deng", "Xiumei", "" ], [ "Li", "Jun", "" ], [ "Shi", "Long", "" ], [ "Wei", "Kang", "" ], [ "Ding", "Ming", "" ], [ "Shao", "Yumeng", "" ], [ "Chen", "Wen", "" ], [ "Jin", "Shi", "" ] ]
Digital twin (DT) has emerged as a promising solution to enhance manufacturing efficiency in industrial Internet of Things (IIoT) networks. To promote the efficiency and trustworthiness of DT for wireless IIoT networks, we propose a blockchain-enabled DT (B-DT) framework that employs deep neural network (DNN) partition...
1906.12140
Swanand Kadhe
Swanand Kadhe, Jichan Chung, and Kannan Ramchandran
SeF: A Secure Fountain Architecture for Slashing Storage Costs in Blockchains
null
null
null
null
cs.CR cs.DC cs.IT math.IT
http://creativecommons.org/licenses/by-nc-sa/4.0/
Full nodes, which synchronize the entire blockchain history and independently validate all the blocks, form the backbone of any blockchain network by playing a vital role in ensuring security properties. On the other hand, a user running a full node needs to pay a heavy price in terms of storage costs. E.g., the Bitc...
[ { "created": "Fri, 28 Jun 2019 11:32:33 GMT", "version": "v1" } ]
2019-07-01
[ [ "Kadhe", "Swanand", "" ], [ "Chung", "Jichan", "" ], [ "Ramchandran", "Kannan", "" ] ]
Full nodes, which synchronize the entire blockchain history and independently validate all the blocks, form the backbone of any blockchain network by playing a vital role in ensuring security properties. On the other hand, a user running a full node needs to pay a heavy price in terms of storage costs. E.g., the Bitcoi...
2407.12024
Jordan Rey-Jouanchicot
Jordan Rey-Jouanchicot (IRIT-ELIPSE, LAAS), Andr\'e Bottaro, Eric Campo (LAAS-S4M), Jean-L\'eon Bouraoui, Nadine Vigouroux (IRIT-ELIPSE), Fr\'ed\'eric Vella (IRIT-ELIPSE)
Leveraging Large Language Models for enhanced personalised user experience in Smart Homes
null
null
null
null
cs.HC cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Smart home automation systems aim to improve the comfort and convenience of users in their living environment. However, adapting automation to user needs remains a challenge. Indeed, many systems still rely on hand-crafted routines for each smart object.This paper presents an original smart home architecture leveragi...
[ { "created": "Fri, 28 Jun 2024 07:08:20 GMT", "version": "v1" } ]
2024-07-18
[ [ "Rey-Jouanchicot", "Jordan", "", "IRIT-ELIPSE, LAAS" ], [ "Bottaro", "André", "", "LAAS-S4M" ], [ "Campo", "Eric", "", "LAAS-S4M" ], [ "Bouraoui", "Jean-Léon", "", "IRIT-ELIPSE" ], [ "Vigouroux", "Nadine", "", "IRIT-EL...
Smart home automation systems aim to improve the comfort and convenience of users in their living environment. However, adapting automation to user needs remains a challenge. Indeed, many systems still rely on hand-crafted routines for each smart object.This paper presents an original smart home architecture leveraging...
2401.11257
Tianyi Hu
Tianyi Hu, Zhiqiang Pu, Xiaolin Ai, Tenghai Qiu, Jianqiang Yi
Measuring Policy Distance for Multi-Agent Reinforcement Learning
9 pages, 6 figures
null
null
null
cs.MA cs.AI
http://creativecommons.org/licenses/by/4.0/
Diversity plays a crucial role in improving the performance of multi-agent reinforcement learning (MARL). Currently, many diversity-based methods have been developed to overcome the drawbacks of excessive parameter sharing in traditional MARL. However, there remains a lack of a general metric to quantify policy diffe...
[ { "created": "Sat, 20 Jan 2024 15:34:51 GMT", "version": "v1" }, { "created": "Sun, 28 Jan 2024 15:37:54 GMT", "version": "v2" } ]
2024-01-30
[ [ "Hu", "Tianyi", "" ], [ "Pu", "Zhiqiang", "" ], [ "Ai", "Xiaolin", "" ], [ "Qiu", "Tenghai", "" ], [ "Yi", "Jianqiang", "" ] ]
Diversity plays a crucial role in improving the performance of multi-agent reinforcement learning (MARL). Currently, many diversity-based methods have been developed to overcome the drawbacks of excessive parameter sharing in traditional MARL. However, there remains a lack of a general metric to quantify policy differe...
1210.6112
EPTCS
James Smith
The Jasper Framework: Towards a Platform Independent, Formal Treatment of Web Programming
In Proceedings WWV 2012, arXiv:1210.5783. Added doi references where possible
EPTCS 98, 2012, pp. 31-45
10.4204/EPTCS.98.5
null
cs.SE cs.LO cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper introduces Jasper, a web programming framework which allows web applications to be developed in an essentially platform indepedent manner and which is also suited to a formal treatment. It outlines Jasper conceptually and shows how Jasper is implemented on several commonplace platforms. It also introduces ...
[ { "created": "Tue, 23 Oct 2012 02:54:58 GMT", "version": "v1" } ]
2012-12-07
[ [ "Smith", "James", "" ] ]
This paper introduces Jasper, a web programming framework which allows web applications to be developed in an essentially platform indepedent manner and which is also suited to a formal treatment. It outlines Jasper conceptually and shows how Jasper is implemented on several commonplace platforms. It also introduces th...
2105.04749
Aron Laszka
Shanto Roy, Nazia Sharmin, Jaime C. Acosta, Christopher Kiekintveld, Aron Laszka
Survey and Taxonomy of Adversarial Reconnaissance Techniques
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Adversaries are often able to penetrate networks and compromise systems by exploiting vulnerabilities in people and systems. The key to the success of these attacks is information that adversaries collect throughout the phases of the cyber kill chain. We summarize and analyze the methods, tactics, and tools that adve...
[ { "created": "Tue, 11 May 2021 02:09:12 GMT", "version": "v1" }, { "created": "Fri, 29 Apr 2022 00:11:54 GMT", "version": "v2" } ]
2022-05-02
[ [ "Roy", "Shanto", "" ], [ "Sharmin", "Nazia", "" ], [ "Acosta", "Jaime C.", "" ], [ "Kiekintveld", "Christopher", "" ], [ "Laszka", "Aron", "" ] ]
Adversaries are often able to penetrate networks and compromise systems by exploiting vulnerabilities in people and systems. The key to the success of these attacks is information that adversaries collect throughout the phases of the cyber kill chain. We summarize and analyze the methods, tactics, and tools that advers...
1501.06802
Gamal Abd El-Nasser A. Said
Gamal Abd El-Nasser A. Said, El-Sayed M. El-Horbaty
A Simulation Modeling Approach for Optimization of Storage Space Allocation in Container Terminal
International Journal of Computer, Information, Systems and Control Engineering Vol:9 No:1, 2015
Information, Systems and Control Engineering Vol. 9, No. 1, 2015, pp. 168-173
null
null
cs.OH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Container handling problems at container terminals are NP-hard problems. This paper presents an approach using discrete-event simulation modeling to optimize solution for storage space allocation problem, taking into account all various interrelated container terminal handling activities. The proposed approach is app...
[ { "created": "Tue, 27 Jan 2015 16:10:23 GMT", "version": "v1" } ]
2015-04-14
[ [ "Said", "Gamal Abd El-Nasser A.", "" ], [ "El-Horbaty", "El-Sayed M.", "" ] ]
Container handling problems at container terminals are NP-hard problems. This paper presents an approach using discrete-event simulation modeling to optimize solution for storage space allocation problem, taking into account all various interrelated container terminal handling activities. The proposed approach is appli...
1011.5065
Woohyuk Chang
Woohyuk Chang, Sae-Young Chung, Yong H. Lee
Gaussian Relay Channel Capacity to Within a Fixed Number of Bits
6 pages, 7 figures
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we show that the capacity of the three-node Gaussian relay channel can be achieved to within 1 and 2 bit/sec/Hz using compress-and-forward and amplify-and-forward relaying, respectively.
[ { "created": "Tue, 23 Nov 2010 11:27:46 GMT", "version": "v1" } ]
2010-11-24
[ [ "Chang", "Woohyuk", "" ], [ "Chung", "Sae-Young", "" ], [ "Lee", "Yong H.", "" ] ]
In this paper, we show that the capacity of the three-node Gaussian relay channel can be achieved to within 1 and 2 bit/sec/Hz using compress-and-forward and amplify-and-forward relaying, respectively.
2104.13869
Francisco Romero
Francisco Romero, Gohar Irfan Chaudhry, \'I\~nigo Goiri, Pragna Gopa, Paul Batum, Neeraja J. Yadwadkar, Rodrigo Fonseca, Christos Kozyrakis, Ricardo Bianchini
Faa$T: A Transparent Auto-Scaling Cache for Serverless Applications
18 pages, 15 figures
null
null
null
cs.DC
http://creativecommons.org/licenses/by/4.0/
Function-as-a-Service (FaaS) has become an increasingly popular way for users to deploy their applications without the burden of managing the underlying infrastructure. However, existing FaaS platforms rely on remote storage to maintain state, limiting the set of applications that can be run efficiently. Recent cachi...
[ { "created": "Wed, 28 Apr 2021 16:31:19 GMT", "version": "v1" } ]
2021-04-29
[ [ "Romero", "Francisco", "" ], [ "Chaudhry", "Gohar Irfan", "" ], [ "Goiri", "Íñigo", "" ], [ "Gopa", "Pragna", "" ], [ "Batum", "Paul", "" ], [ "Yadwadkar", "Neeraja J.", "" ], [ "Fonseca", "Rodrigo", "" ]...
Function-as-a-Service (FaaS) has become an increasingly popular way for users to deploy their applications without the burden of managing the underlying infrastructure. However, existing FaaS platforms rely on remote storage to maintain state, limiting the set of applications that can be run efficiently. Recent caching...
2001.03102
Roy Miles
Roy Miles, Krystian Mikolajczyk
Compression of descriptor models for mobile applications
ICASSP 2021
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep neural networks have demonstrated state-of-the-art performance for feature-based image matching through the advent of new large and diverse datasets. However, there has been little work on evaluating the computational cost, model size, and matching accuracy tradeoffs for these models. This paper explicitly addre...
[ { "created": "Thu, 9 Jan 2020 17:00:21 GMT", "version": "v1" }, { "created": "Sun, 29 Mar 2020 20:37:33 GMT", "version": "v2" }, { "created": "Fri, 5 Feb 2021 10:41:09 GMT", "version": "v3" } ]
2021-02-08
[ [ "Miles", "Roy", "" ], [ "Mikolajczyk", "Krystian", "" ] ]
Deep neural networks have demonstrated state-of-the-art performance for feature-based image matching through the advent of new large and diverse datasets. However, there has been little work on evaluating the computational cost, model size, and matching accuracy tradeoffs for these models. This paper explicitly address...
2009.04336
Gabriele Farina
Gabriele Farina and Tuomas Sandholm
Polynomial-Time Computation of Optimal Correlated Equilibria in Two-Player Extensive-Form Games with Public Chance Moves and Beyond
null
null
null
null
cs.GT cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Unlike normal-form games, where correlated equilibria have been studied for more than 45 years, extensive-form correlation is still generally not well understood. Part of the reason for this gap is that the sequential nature of extensive-form games allows for a richness of behaviors and incentives that are not possib...
[ { "created": "Wed, 9 Sep 2020 14:51:58 GMT", "version": "v1" } ]
2020-09-10
[ [ "Farina", "Gabriele", "" ], [ "Sandholm", "Tuomas", "" ] ]
Unlike normal-form games, where correlated equilibria have been studied for more than 45 years, extensive-form correlation is still generally not well understood. Part of the reason for this gap is that the sequential nature of extensive-form games allows for a richness of behaviors and incentives that are not possible...
1308.6505
Anna Huber
Anna Huber and Andrei Krokhin
Oracle Tractability of Skew Bisubmodular Functions
null
null
null
null
cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we consider skew bisubmodular functions as introduced in [9]. We construct a convex extension of a skew bisubmodular function which we call Lov\'asz extension in correspondence to the submodular case. We use this extension to show that skew bisubmodular functions given by an oracle can be minimised in p...
[ { "created": "Thu, 29 Aug 2013 16:03:49 GMT", "version": "v1" } ]
2013-08-30
[ [ "Huber", "Anna", "" ], [ "Krokhin", "Andrei", "" ] ]
In this paper we consider skew bisubmodular functions as introduced in [9]. We construct a convex extension of a skew bisubmodular function which we call Lov\'asz extension in correspondence to the submodular case. We use this extension to show that skew bisubmodular functions given by an oracle can be minimised in pol...
2007.03204
Pashootan Vaezipoor
Pashootan Vaezipoor, Gil Lederman, Yuhuai Wu, Chris J. Maddison, Roger Grosse, Sanjit A. Seshia, Fahiem Bacchus
Learning Branching Heuristics for Propositional Model Counting
null
35(14), 2021, 12427-12435
10.1609/aaai.v35i14.17474
null
cs.LG cs.AI cs.LO stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Propositional model counting, or #SAT, is the problem of computing the number of satisfying assignments of a Boolean formula. Many problems from different application areas, including many discrete probabilistic inference problems, can be translated into model counting problems to be solved by #SAT solvers. Exact #SA...
[ { "created": "Tue, 7 Jul 2020 05:20:29 GMT", "version": "v1" }, { "created": "Thu, 8 Sep 2022 21:47:20 GMT", "version": "v2" } ]
2022-09-12
[ [ "Vaezipoor", "Pashootan", "" ], [ "Lederman", "Gil", "" ], [ "Wu", "Yuhuai", "" ], [ "Maddison", "Chris J.", "" ], [ "Grosse", "Roger", "" ], [ "Seshia", "Sanjit A.", "" ], [ "Bacchus", "Fahiem", "" ] ]
Propositional model counting, or #SAT, is the problem of computing the number of satisfying assignments of a Boolean formula. Many problems from different application areas, including many discrete probabilistic inference problems, can be translated into model counting problems to be solved by #SAT solvers. Exact #SAT ...
cs/0601116
Laurent Noe
Gregory Kucherov (LIFL), Laurent No\'e (LIFL), Mihkail Roytberg (LIFL)
A unifying framework for seed sensitivity and its application to subset seeds
null
Journal of Bioinformatics and Computational Biology 4 (2006) 2, pp 553--569
10.1142/S0219720006001977
null
cs.DS q-bio.QM
null
We propose a general approach to compute the seed sensitivity, that can be applied to different definitions of seeds. It treats separately three components of the seed sensitivity problem -- a set of target alignments, an associated probability distribution, and a seed model -- that are specified by distinct finite a...
[ { "created": "Fri, 27 Jan 2006 18:53:01 GMT", "version": "v1" }, { "created": "Fri, 15 Sep 2006 07:05:58 GMT", "version": "v2" } ]
2010-01-19
[ [ "Kucherov", "Gregory", "", "LIFL" ], [ "Noé", "Laurent", "", "LIFL" ], [ "Roytberg", "Mihkail", "", "LIFL" ] ]
We propose a general approach to compute the seed sensitivity, that can be applied to different definitions of seeds. It treats separately three components of the seed sensitivity problem -- a set of target alignments, an associated probability distribution, and a seed model -- that are specified by distinct finite aut...
1903.07377
Johannes Michael
Johannes Michael, Roger Labahn, Tobias Gr\"uning, Jochen Z\"ollner
Evaluating Sequence-to-Sequence Models for Handwritten Text Recognition
8 pages, 1 figure, 8 tables
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Encoder-decoder models have become an effective approach for sequence learning tasks like machine translation, image captioning and speech recognition, but have yet to show competitive results for handwritten text recognition. To this end, we propose an attention-based sequence-to-sequence model. It combines a convol...
[ { "created": "Mon, 18 Mar 2019 11:51:33 GMT", "version": "v1" }, { "created": "Mon, 15 Jul 2019 11:40:53 GMT", "version": "v2" } ]
2019-07-16
[ [ "Michael", "Johannes", "" ], [ "Labahn", "Roger", "" ], [ "Grüning", "Tobias", "" ], [ "Zöllner", "Jochen", "" ] ]
Encoder-decoder models have become an effective approach for sequence learning tasks like machine translation, image captioning and speech recognition, but have yet to show competitive results for handwritten text recognition. To this end, we propose an attention-based sequence-to-sequence model. It combines a convolut...
2305.02484
Shilun Li
Venkatesan Guruswami and Shilun Li
A Deterministic Construction of a Large Distance Code from the Wozencraft Ensemble
null
null
null
null
cs.IT math.CO math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present an explicit construction of a sequence of rate $1/2$ Wozencraft ensemble codes (over any fixed finite field $\mathbb{F}_q$) that achieve minimum distance $\Omega(\sqrt{k})$ where $k$ is the message length. The coefficients of the Wozencraft ensemble codes are constructed using Sidon Sets and the cyclic str...
[ { "created": "Thu, 4 May 2023 01:29:34 GMT", "version": "v1" }, { "created": "Tue, 11 Jul 2023 08:03:43 GMT", "version": "v2" } ]
2023-07-12
[ [ "Guruswami", "Venkatesan", "" ], [ "Li", "Shilun", "" ] ]
We present an explicit construction of a sequence of rate $1/2$ Wozencraft ensemble codes (over any fixed finite field $\mathbb{F}_q$) that achieve minimum distance $\Omega(\sqrt{k})$ where $k$ is the message length. The coefficients of the Wozencraft ensemble codes are constructed using Sidon Sets and the cyclic struc...
2307.13018
Artur Tarassow
Artur Tarassow
The potential of LLMs for coding with low-resource and domain-specific programming languages
null
null
null
null
cs.CL cs.SE
http://creativecommons.org/licenses/by/4.0/
This paper presents a study on the feasibility of using large language models (LLM) for coding with low-resource and domain-specific programming languages that typically lack the amount of data required for effective LLM processing techniques. This study focuses on the econometric scripting language named hansl of th...
[ { "created": "Mon, 24 Jul 2023 17:17:13 GMT", "version": "v1" } ]
2023-07-26
[ [ "Tarassow", "Artur", "" ] ]
This paper presents a study on the feasibility of using large language models (LLM) for coding with low-resource and domain-specific programming languages that typically lack the amount of data required for effective LLM processing techniques. This study focuses on the econometric scripting language named hansl of the ...
1803.05120
Yufan He
Yufan He, Aaron Carass, Bruno M. Jedynak, Sharon D. Solomon, Shiv Saidha, Peter A. Calabresi, Jerry L. Prince
Topology guaranteed segmentation of the human retina from OCT using convolutional neural networks
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Optical coherence tomography (OCT) is a noninvasive imaging modality which can be used to obtain depth images of the retina. The changing layer thicknesses can thus be quantified by analyzing these OCT images, moreover these changes have been shown to correlate with disease progression in multiple sclerosis. Recent a...
[ { "created": "Wed, 14 Mar 2018 03:21:01 GMT", "version": "v1" } ]
2018-03-15
[ [ "He", "Yufan", "" ], [ "Carass", "Aaron", "" ], [ "Jedynak", "Bruno M.", "" ], [ "Solomon", "Sharon D.", "" ], [ "Saidha", "Shiv", "" ], [ "Calabresi", "Peter A.", "" ], [ "Prince", "Jerry L.", "" ] ]
Optical coherence tomography (OCT) is a noninvasive imaging modality which can be used to obtain depth images of the retina. The changing layer thicknesses can thus be quantified by analyzing these OCT images, moreover these changes have been shown to correlate with disease progression in multiple sclerosis. Recent aut...
2011.09577
Sadra Naddaf
Sadra Naddaf-Sh, M-Mahdi Naddaf-Sh, Amir R. Kashani and Hassan Zargarzadeh
An Efficient and Scalable Deep Learning Approach for Road Damage Detection
removed redundant postscripts
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
Pavement condition evaluation is essential to time the preventative or rehabilitative actions and control distress propagation. Failing to conduct timely evaluations can lead to severe structural and financial loss of the infrastructure and complete reconstructions. Automated computer-aided surveying measures can pro...
[ { "created": "Wed, 18 Nov 2020 23:05:41 GMT", "version": "v1" }, { "created": "Wed, 25 Nov 2020 18:58:18 GMT", "version": "v2" }, { "created": "Thu, 17 Dec 2020 17:58:08 GMT", "version": "v3" } ]
2020-12-18
[ [ "Naddaf-Sh", "Sadra", "" ], [ "Naddaf-Sh", "M-Mahdi", "" ], [ "Kashani", "Amir R.", "" ], [ "Zargarzadeh", "Hassan", "" ] ]
Pavement condition evaluation is essential to time the preventative or rehabilitative actions and control distress propagation. Failing to conduct timely evaluations can lead to severe structural and financial loss of the infrastructure and complete reconstructions. Automated computer-aided surveying measures can provi...
2010.03108
Pan Ji
Pengfei Fang, Pan Ji, Jieming Zhou, Lars Petersson, Mehrtash Harandi
Channel Recurrent Attention Networks for Video Pedestrian Retrieval
To appear in ACCV 2020
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Full attention, which generates an attention value per element of the input feature maps, has been successfully demonstrated to be beneficial in visual tasks. In this work, we propose a fully attentional network, termed {\it channel recurrent attention network}, for the task of video pedestrian retrieval. The main at...
[ { "created": "Wed, 7 Oct 2020 02:01:13 GMT", "version": "v1" } ]
2020-10-08
[ [ "Fang", "Pengfei", "" ], [ "Ji", "Pan", "" ], [ "Zhou", "Jieming", "" ], [ "Petersson", "Lars", "" ], [ "Harandi", "Mehrtash", "" ] ]
Full attention, which generates an attention value per element of the input feature maps, has been successfully demonstrated to be beneficial in visual tasks. In this work, we propose a fully attentional network, termed {\it channel recurrent attention network}, for the task of video pedestrian retrieval. The main atte...
1710.06785
Ramviyas Parasuraman
Ramviyas Parasuraman, Sergio Caccamo, Fredrik B{\aa}berg, Petter \"Ogren and Mark Neerincx
A New UGV Teleoperation Interface for Improved Awareness of Network Connectivity and Physical Surroundings
Accepted for publication in the Journal of Human-Robot Interaction (JHRI)
null
null
null
cs.RO cs.HC cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A reliable wireless connection between the operator and the teleoperated Unmanned Ground Vehicle (UGV) is critical in many Urban Search and Rescue (USAR) missions. Unfortunately, as was seen in e.g. the Fukushima disaster, the networks available in areas where USAR missions take place are often severely limited in ra...
[ { "created": "Wed, 4 Oct 2017 21:39:53 GMT", "version": "v1" }, { "created": "Thu, 26 Oct 2017 17:50:45 GMT", "version": "v2" }, { "created": "Sun, 5 Nov 2017 08:57:19 GMT", "version": "v3" }, { "created": "Tue, 7 Nov 2017 19:34:45 GMT", "version": "v4" } ]
2017-11-09
[ [ "Parasuraman", "Ramviyas", "" ], [ "Caccamo", "Sergio", "" ], [ "Båberg", "Fredrik", "" ], [ "Ögren", "Petter", "" ], [ "Neerincx", "Mark", "" ] ]
A reliable wireless connection between the operator and the teleoperated Unmanned Ground Vehicle (UGV) is critical in many Urban Search and Rescue (USAR) missions. Unfortunately, as was seen in e.g. the Fukushima disaster, the networks available in areas where USAR missions take place are often severely limited in rang...
2305.19894
Zhongwei Wan
Zhongwei Wan, Che Liu, Mi Zhang, Jie Fu, Benyou Wang, Sibo Cheng, Lei Ma, C\'esar Quilodr\'an-Casas, Rossella Arcucci
Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias
NeurIPS 2023 Main track
null
null
null
cs.CL cs.AI cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The scarcity of data presents a critical obstacle to the efficacy of medical visionlanguage pre-training (VLP). A potential solution lies in the combination of datasets from various language communities. Nevertheless, the main challenge stems from the complexity of integrating diverse syntax and semantics, language-s...
[ { "created": "Wed, 31 May 2023 14:28:19 GMT", "version": "v1" }, { "created": "Mon, 25 Sep 2023 18:58:36 GMT", "version": "v2" }, { "created": "Sat, 17 Feb 2024 19:49:54 GMT", "version": "v3" } ]
2024-02-20
[ [ "Wan", "Zhongwei", "" ], [ "Liu", "Che", "" ], [ "Zhang", "Mi", "" ], [ "Fu", "Jie", "" ], [ "Wang", "Benyou", "" ], [ "Cheng", "Sibo", "" ], [ "Ma", "Lei", "" ], [ "Quilodrán-Casas", "César", ...
The scarcity of data presents a critical obstacle to the efficacy of medical visionlanguage pre-training (VLP). A potential solution lies in the combination of datasets from various language communities. Nevertheless, the main challenge stems from the complexity of integrating diverse syntax and semantics, language-spe...
1902.02139
Anton Pirogov
Christof L\"oding, Anton Pirogov
Determinization of B\"uchi Automata: Unifying the Approaches of Safra and Muller-Schupp
Full version of ICALP 2019 paper
null
10.4230/LIPIcs.ICALP.2019.120
null
cs.FL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Determinization of B\"uchi automata is a long-known difficult problem and after the seminal result of Safra, who developed the first asymptotically optimal construction from B\"uchi into Rabin automata, much work went into improving, simplifying or avoiding Safra's construction. A different, less known determinizatio...
[ { "created": "Wed, 6 Feb 2019 12:31:09 GMT", "version": "v1" }, { "created": "Tue, 30 Apr 2019 07:47:34 GMT", "version": "v2" } ]
2020-04-30
[ [ "Löding", "Christof", "" ], [ "Pirogov", "Anton", "" ] ]
Determinization of B\"uchi automata is a long-known difficult problem and after the seminal result of Safra, who developed the first asymptotically optimal construction from B\"uchi into Rabin automata, much work went into improving, simplifying or avoiding Safra's construction. A different, less known determinization ...
2006.01358
Sandra Ramirez
Sandra L. Ram\'irez-Mora, Hanna Oktaba, Helena G\'omez-Adorno
Descriptions of issues and comments for predicting issue success in software projects
65 pages; 15 figures
Journal of Systems and Software, Vol. 168, 2020, 110663, ISSN 0164-1212
10.1016/j.jss.2020.110663
null
cs.SE
http://creativecommons.org/licenses/by-nc-sa/4.0/
Software development tasks must be performed successfully to achieve software quality and customer satisfaction. Knowing whether software tasks are likely to fail is essential to ensure the success of software projects. Issue Tracking Systems store information of software tasks (issues) and comments, which can be use...
[ { "created": "Tue, 2 Jun 2020 02:49:22 GMT", "version": "v1" } ]
2020-06-03
[ [ "Ramírez-Mora", "Sandra L.", "" ], [ "Oktaba", "Hanna", "" ], [ "Gómez-Adorno", "Helena", "" ] ]
Software development tasks must be performed successfully to achieve software quality and customer satisfaction. Knowing whether software tasks are likely to fail is essential to ensure the success of software projects. Issue Tracking Systems store information of software tasks (issues) and comments, which can be usefu...
2406.16250
Prerana Khatiwada
Prerana Khatiwada, Pranjal Dhakal
Evaluating Serverless Machine Learning Performance on Google Cloud Run
5 pages, 12 figures
null
null
null
cs.DC cs.OS
http://creativecommons.org/licenses/by/4.0/
End-users can get functions-as-a-service from serverless platforms, which promise lower hosting costs, high availability, fault tolerance, and dynamic flexibility for hosting individual functions known as microservices. Machine learning tools are seen to be reliably useful, and the services created using these tools ...
[ { "created": "Mon, 24 Jun 2024 01:10:20 GMT", "version": "v1" } ]
2024-06-25
[ [ "Khatiwada", "Prerana", "" ], [ "Dhakal", "Pranjal", "" ] ]
End-users can get functions-as-a-service from serverless platforms, which promise lower hosting costs, high availability, fault tolerance, and dynamic flexibility for hosting individual functions known as microservices. Machine learning tools are seen to be reliably useful, and the services created using these tools ar...
2407.10725
Xiaoyuan Yi
Jing Yao, Xiaoyuan Yi, Xing Xie
CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses
null
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by-nc-nd/4.0/
The rapid progress in Large Language Models (LLMs) poses potential risks such as generating unethical content. Assessing LLMs' values can help expose their misalignment, but relies on reference-free evaluators, e.g., fine-tuned LLMs or close-source ones like GPT-4, to identify values reflected in generated responses....
[ { "created": "Mon, 15 Jul 2024 13:51:37 GMT", "version": "v1" } ]
2024-07-16
[ [ "Yao", "Jing", "" ], [ "Yi", "Xiaoyuan", "" ], [ "Xie", "Xing", "" ] ]
The rapid progress in Large Language Models (LLMs) poses potential risks such as generating unethical content. Assessing LLMs' values can help expose their misalignment, but relies on reference-free evaluators, e.g., fine-tuned LLMs or close-source ones like GPT-4, to identify values reflected in generated responses. N...
1807.11618
Kamal Al-Sabahi Ph.D.
Kamal Al-Sabahi, Zuping Zhang, Jun Long, Khaled Alwesabi
An Enhanced Latent Semantic Analysis Approach for Arabic Document Summarization
This is a pre-print of an article published in Arabian Journal for Science and Engineering. The final authenticated version is available online at: https://doi.org/10.1007/s13369-018-3286-z
K. Al-Sabahi, Z. Zhang, J. Long, and K. Alwesabi, "An Enhanced Latent Semantic Analysis Approach for Arabic Document Summarization," Arabian Journal for Science and Engineering, journal article May 05 2018
10.1007/s13369-018-3286-z
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The fast-growing amount of information on the Internet makes the research in automatic document summarization very urgent. It is an effective solution for information overload. Many approaches have been proposed based on different strategies, such as latent semantic analysis (LSA). However, LSA, when applied to docum...
[ { "created": "Tue, 31 Jul 2018 00:50:15 GMT", "version": "v1" } ]
2018-08-01
[ [ "Al-Sabahi", "Kamal", "" ], [ "Zhang", "Zuping", "" ], [ "Long", "Jun", "" ], [ "Alwesabi", "Khaled", "" ] ]
The fast-growing amount of information on the Internet makes the research in automatic document summarization very urgent. It is an effective solution for information overload. Many approaches have been proposed based on different strategies, such as latent semantic analysis (LSA). However, LSA, when applied to documen...
2204.08935
Xinyue Shen
Xinyue Shen, Xinlei He, Michael Backes, Jeremy Blackburn, Savvas Zannettou, Yang Zhang
On Xing Tian and the Perseverance of Anti-China Sentiment Online
To Appear in the 16th International Conference on Web and Social Media (ICWSM), 2022
null
null
null
cs.SI cs.CY
http://creativecommons.org/licenses/by/4.0/
Sinophobia, anti-Chinese sentiment, has existed on the Web for a long time. The outbreak of COVID-19 and the extended quarantine has further amplified it. However, we lack a quantitative understanding of the cause of Sinophobia as well as how it evolves over time. In this paper, we conduct a large-scale longitudinal ...
[ { "created": "Tue, 19 Apr 2022 15:17:28 GMT", "version": "v1" } ]
2022-04-20
[ [ "Shen", "Xinyue", "" ], [ "He", "Xinlei", "" ], [ "Backes", "Michael", "" ], [ "Blackburn", "Jeremy", "" ], [ "Zannettou", "Savvas", "" ], [ "Zhang", "Yang", "" ] ]
Sinophobia, anti-Chinese sentiment, has existed on the Web for a long time. The outbreak of COVID-19 and the extended quarantine has further amplified it. However, we lack a quantitative understanding of the cause of Sinophobia as well as how it evolves over time. In this paper, we conduct a large-scale longitudinal me...
1601.03295
Gabriela Csurka
Gabriela Csurka
Document image classification, with a specific view on applications of patent images
Paper submitted in 2014 as book chapter of Current Challenges in Patent Information Retrieval, Second edition by M. Lupu et al (eds.). To appear in 2016
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The main focus of this paper is document image classification and retrieval, where we analyze and compare different parameters for the RunLeght Histogram (RL) and Fisher Vector (FV) based image representations. We do an exhaustive experimental study using different document image datasets, including the MARG benchmar...
[ { "created": "Wed, 13 Jan 2016 16:02:13 GMT", "version": "v1" } ]
2016-01-14
[ [ "Csurka", "Gabriela", "" ] ]
The main focus of this paper is document image classification and retrieval, where we analyze and compare different parameters for the RunLeght Histogram (RL) and Fisher Vector (FV) based image representations. We do an exhaustive experimental study using different document image datasets, including the MARG benchmarks...
2105.11134
Jiacheng Ye
Jiacheng Ye, Tao Gui, Yichao Luo, Yige Xu, Qi Zhang
One2Set: Generating Diverse Keyphrases as a Set
Accepted by ACL 2021
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by-nc-nd/4.0/
Recently, the sequence-to-sequence models have made remarkable progress on the task of keyphrase generation (KG) by concatenating multiple keyphrases in a predefined order as a target sequence during training. However, the keyphrases are inherently an unordered set rather than an ordered sequence. Imposing a predefin...
[ { "created": "Mon, 24 May 2021 07:29:47 GMT", "version": "v1" } ]
2021-05-25
[ [ "Ye", "Jiacheng", "" ], [ "Gui", "Tao", "" ], [ "Luo", "Yichao", "" ], [ "Xu", "Yige", "" ], [ "Zhang", "Qi", "" ] ]
Recently, the sequence-to-sequence models have made remarkable progress on the task of keyphrase generation (KG) by concatenating multiple keyphrases in a predefined order as a target sequence during training. However, the keyphrases are inherently an unordered set rather than an ordered sequence. Imposing a predefined...
2201.09377
Ali Emami Mr.
Darren Abramson and Ali Emami
An Application of Pseudo-Log-Likelihoods to Natural Language Scoring
null
null
null
null
cs.CL cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
Language models built using semi-supervised machine learning on large corpora of natural language have very quickly enveloped the fields of natural language generation and understanding. In this paper we apply a zero-shot approach independently developed by a number of researchers now gaining recognition as a signifi...
[ { "created": "Sun, 23 Jan 2022 22:00:54 GMT", "version": "v1" } ]
2022-01-25
[ [ "Abramson", "Darren", "" ], [ "Emami", "Ali", "" ] ]
Language models built using semi-supervised machine learning on large corpora of natural language have very quickly enveloped the fields of natural language generation and understanding. In this paper we apply a zero-shot approach independently developed by a number of researchers now gaining recognition as a significa...
2402.02211
Guangmo Tong
Guangmo Tong, Peng Zhao, Mina Samizadeh
Query-decision Regression between Shortest Path and Minimum Steiner Tree
PAKDD 2024
null
null
null
cs.LG cs.DS
http://creativecommons.org/licenses/by/4.0/
Considering a graph with unknown weights, can we find the shortest path for a pair of nodes if we know the minimal Steiner trees associated with some subset of nodes? That is, with respect to a fixed latent decision-making system (e.g., a weighted graph), we seek to solve one optimization problem (e.g., the shortest ...
[ { "created": "Sat, 3 Feb 2024 17:05:01 GMT", "version": "v1" } ]
2024-02-06
[ [ "Tong", "Guangmo", "" ], [ "Zhao", "Peng", "" ], [ "Samizadeh", "Mina", "" ] ]
Considering a graph with unknown weights, can we find the shortest path for a pair of nodes if we know the minimal Steiner trees associated with some subset of nodes? That is, with respect to a fixed latent decision-making system (e.g., a weighted graph), we seek to solve one optimization problem (e.g., the shortest pa...
2003.06773
Jinnan Piao
Jinnan Piao, Kai Niu, Jincheng Dai, and Chao Dong
Sphere Constraint based Enumeration Methods to Analyze the Minimum Weight Distribution of Polar Codes
11 pages, 6 figures. Submitted to IEEE Transactions on Vehicular Technology
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, the minimum weight distributions (MWDs) of polar codes and concatenated polar codes are exactly enumerated according to the distance property of codewords. We first propose a sphere constraint based enumeration method (SCEM) to analyze the MWD of polar codes with moderate complexity. The SCEM exploits ...
[ { "created": "Sun, 15 Mar 2020 07:34:29 GMT", "version": "v1" } ]
2020-03-17
[ [ "Piao", "Jinnan", "" ], [ "Niu", "Kai", "" ], [ "Dai", "Jincheng", "" ], [ "Dong", "Chao", "" ] ]
In this paper, the minimum weight distributions (MWDs) of polar codes and concatenated polar codes are exactly enumerated according to the distance property of codewords. We first propose a sphere constraint based enumeration method (SCEM) to analyze the MWD of polar codes with moderate complexity. The SCEM exploits th...
2006.09205
Andrew Dowsey
William Andrew, Jing Gao, Siobhan Mullan, Neill Campbell, Andrew W Dowsey, Tilo Burghardt
Visual Identification of Individual Holstein-Friesian Cattle via Deep Metric Learning
41 pages, 18 figures, 2 tables; Submitted to Computers and Electronics in Agriculture ; Source code and network weights available at https://github.com/CWOA/MetricLearningIdentification ; OpenCows2020 dataset available at https://doi.org/10.5523/bris.10m32xl88x2b61zlkkgz3fml17
Computers and Electronics in Agriculture 185, 106133 (2021)
10.1016/j.compag.2021.106133
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Holstein-Friesian cattle exhibit individually-characteristic black and white coat patterns visually akin to those arising from Turing's reaction-diffusion systems. This work takes advantage of these natural markings in order to automate visual detection and biometric identification of individual Holstein-Friesians vi...
[ { "created": "Tue, 16 Jun 2020 14:41:55 GMT", "version": "v1" }, { "created": "Sat, 4 Jul 2020 11:38:09 GMT", "version": "v2" }, { "created": "Wed, 14 Oct 2020 10:58:30 GMT", "version": "v3" } ]
2021-05-04
[ [ "Andrew", "William", "" ], [ "Gao", "Jing", "" ], [ "Mullan", "Siobhan", "" ], [ "Campbell", "Neill", "" ], [ "Dowsey", "Andrew W", "" ], [ "Burghardt", "Tilo", "" ] ]
Holstein-Friesian cattle exhibit individually-characteristic black and white coat patterns visually akin to those arising from Turing's reaction-diffusion systems. This work takes advantage of these natural markings in order to automate visual detection and biometric identification of individual Holstein-Friesians via ...
2104.11057
Lie Ju
Lie Ju, Xin Wang, Lin Wang, Tongliang Liu, Xin Zhao, Tom Drummond, Dwarikanath Mahapatra, Zongyuan Ge
Relational Subsets Knowledge Distillation for Long-tailed Retinal Diseases Recognition
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the real world, medical datasets often exhibit a long-tailed data distribution (i.e., a few classes occupy most of the data, while most classes have rarely few samples), which results in a challenging imbalance learning scenario. For example, there are estimated more than 40 different kinds of retinal diseases wit...
[ { "created": "Thu, 22 Apr 2021 13:39:33 GMT", "version": "v1" } ]
2021-04-23
[ [ "Ju", "Lie", "" ], [ "Wang", "Xin", "" ], [ "Wang", "Lin", "" ], [ "Liu", "Tongliang", "" ], [ "Zhao", "Xin", "" ], [ "Drummond", "Tom", "" ], [ "Mahapatra", "Dwarikanath", "" ], [ "Ge", "Zongyu...
In the real world, medical datasets often exhibit a long-tailed data distribution (i.e., a few classes occupy most of the data, while most classes have rarely few samples), which results in a challenging imbalance learning scenario. For example, there are estimated more than 40 different kinds of retinal diseases with ...
1605.00313
Konstantin Kobylkin S.
Konstantin Kobylkin
Stabbing line segments with disks: complexity and approximation algorithms
12 pages, 1 appendix, 15 bibliography items, 6th International Conference on Analysis of Images, Social Networks and Texts (AIST-2017)
Kobylkin K.Stabbing Line Segments with Disks: Complexity and Approximation Algorithms. // Lecture Notes in Computer Science, 2018. vol 10716. pp 356-367 Springer
10.1007/978-3-319-73013-4_33
Eng21
cs.CG cs.CC cs.DM
http://creativecommons.org/licenses/by/4.0/
Computational complexity and approximation algorithms are reported for a problem of stabbing a set of straight line segments with the least cardinality set of disks of fixed radii $r>0$ where the set of segments forms a straight line drawing $G=(V,E)$ of a planar graph without edge crossings. Close geometric problems...
[ { "created": "Sun, 1 May 2016 21:54:15 GMT", "version": "v1" }, { "created": "Wed, 4 May 2016 14:06:50 GMT", "version": "v2" }, { "created": "Tue, 26 Jul 2016 09:32:56 GMT", "version": "v3" }, { "created": "Thu, 20 Jul 2017 08:56:24 GMT", "version": "v4" } ]
2018-03-23
[ [ "Kobylkin", "Konstantin", "" ] ]
Computational complexity and approximation algorithms are reported for a problem of stabbing a set of straight line segments with the least cardinality set of disks of fixed radii $r>0$ where the set of segments forms a straight line drawing $G=(V,E)$ of a planar graph without edge crossings. Close geometric problems a...
2307.11412
Weiyu Zhang
Weiyu Zhang
Hybrid deliberation: Citizen dialogues in a post-pandemic era
null
null
null
null
cs.CY
http://creativecommons.org/licenses/by-nc-nd/4.0/
This report first provides a brief review of various forms of dialogue-based participation, e.g., Citizen Assembly, Citizen Lottery, Citizen Jury, Deliberative Polling, and Participatory Budgeting. Challenges associated with these long-lasting practices are identified and hybrid deliberation is proposed as a concept ...
[ { "created": "Fri, 21 Jul 2023 08:13:53 GMT", "version": "v1" } ]
2023-07-24
[ [ "Zhang", "Weiyu", "" ] ]
This report first provides a brief review of various forms of dialogue-based participation, e.g., Citizen Assembly, Citizen Lottery, Citizen Jury, Deliberative Polling, and Participatory Budgeting. Challenges associated with these long-lasting practices are identified and hybrid deliberation is proposed as a concept to...
1306.4037
Travis Gagie
H. Ferrada, T. Gagie, T. Hirvola and S. J. Puglisi
Hybrid Indexes for Repetitive Datasets
null
null
10.1098/rsta.2013.0137
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Advances in DNA sequencing mean databases of thousands of human genomes will soon be commonplace. In this paper we introduce a simple technique for reducing the size of conventional indexes on such highly repetitive texts. Given upper bounds on pattern lengths and edit distances, we preprocess the text with LZ77 to o...
[ { "created": "Mon, 17 Jun 2013 22:48:15 GMT", "version": "v1" } ]
2015-06-16
[ [ "Ferrada", "H.", "" ], [ "Gagie", "T.", "" ], [ "Hirvola", "T.", "" ], [ "Puglisi", "S. J.", "" ] ]
Advances in DNA sequencing mean databases of thousands of human genomes will soon be commonplace. In this paper we introduce a simple technique for reducing the size of conventional indexes on such highly repetitive texts. Given upper bounds on pattern lengths and edit distances, we preprocess the text with LZ77 to obt...
2405.14106
Emiliano De Cristofaro
Meenatchi Sundaram Muthu Selva Annamalai and Emiliano De Cristofaro
Nearly Tight Black-Box Auditing of Differentially Private Machine Learning
null
null
null
null
cs.CR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a nearly tight audit of the Differentially Private Stochastic Gradient Descent (DP-SGD) algorithm in the black-box model. Our auditing procedure empirically estimates the privacy leakage from DP-SGD using membership inference attacks; unlike prior work, the estimates are appreciably close to the t...
[ { "created": "Thu, 23 May 2024 02:24:52 GMT", "version": "v1" } ]
2024-05-24
[ [ "Annamalai", "Meenatchi Sundaram Muthu Selva", "" ], [ "De Cristofaro", "Emiliano", "" ] ]
This paper presents a nearly tight audit of the Differentially Private Stochastic Gradient Descent (DP-SGD) algorithm in the black-box model. Our auditing procedure empirically estimates the privacy leakage from DP-SGD using membership inference attacks; unlike prior work, the estimates are appreciably close to the the...
1907.05560
Vahid Noormofidi
Vahid Noormofidi
Simulating Nonlinear Neutrino Oscillations on Next-Generation Many-Core Architectures
null
null
null
null
cs.DC cs.CE cs.PF
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work an astrophysical simulation code, XFLAT, is developed to study neutrino oscillations in supernovae. XFLAT is designed to utilize multiple levels of parallelism through MPI, OpenMP, and SIMD instructions (vectorization). It can run on both the CPU and the Xeon Phi co-processor, the latter of which is base...
[ { "created": "Fri, 12 Jul 2019 03:21:54 GMT", "version": "v1" } ]
2019-07-15
[ [ "Noormofidi", "Vahid", "" ] ]
In this work an astrophysical simulation code, XFLAT, is developed to study neutrino oscillations in supernovae. XFLAT is designed to utilize multiple levels of parallelism through MPI, OpenMP, and SIMD instructions (vectorization). It can run on both the CPU and the Xeon Phi co-processor, the latter of which is based ...
2404.14465
Ilias Siniosoglou
Dimitris Asimopoulos, Ilias Siniosoglou, Vasileios Argyriou, Thomai Karamitsou, Eleftherios Fountoukidis, Sotirios K. Goudos, Ioannis D. Moscholios, Konstantinos E. Psannis, Panagiotis Sarigiannidis
Benchmarking Advanced Text Anonymisation Methods: A Comparative Study on Novel and Traditional Approaches
null
null
null
null
cs.CL cs.AI cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the realm of data privacy, the ability to effectively anonymise text is paramount. With the proliferation of deep learning and, in particular, transformer architectures, there is a burgeoning interest in leveraging these advanced models for text anonymisation tasks. This paper presents a comprehensive benchmarking...
[ { "created": "Mon, 22 Apr 2024 12:06:54 GMT", "version": "v1" } ]
2024-04-24
[ [ "Asimopoulos", "Dimitris", "" ], [ "Siniosoglou", "Ilias", "" ], [ "Argyriou", "Vasileios", "" ], [ "Karamitsou", "Thomai", "" ], [ "Fountoukidis", "Eleftherios", "" ], [ "Goudos", "Sotirios K.", "" ], [ "Moscholio...
In the realm of data privacy, the ability to effectively anonymise text is paramount. With the proliferation of deep learning and, in particular, transformer architectures, there is a burgeoning interest in leveraging these advanced models for text anonymisation tasks. This paper presents a comprehensive benchmarking s...
2010.12723
Yuning Mao
Yuning Mao, Xiang Ren, Heng Ji, Jiawei Han
Constrained Abstractive Summarization: Preserving Factual Consistency with Constrained Generation
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Despite significant progress, state-of-the-art abstractive summarization methods are still prone to hallucinate content inconsistent with the source document. In this paper, we propose Constrained Abstractive Summarization (CAS), a general setup that preserves the factual consistency of abstractive summarization by s...
[ { "created": "Sat, 24 Oct 2020 00:27:44 GMT", "version": "v1" }, { "created": "Thu, 16 Dec 2021 05:20:15 GMT", "version": "v2" } ]
2021-12-17
[ [ "Mao", "Yuning", "" ], [ "Ren", "Xiang", "" ], [ "Ji", "Heng", "" ], [ "Han", "Jiawei", "" ] ]
Despite significant progress, state-of-the-art abstractive summarization methods are still prone to hallucinate content inconsistent with the source document. In this paper, we propose Constrained Abstractive Summarization (CAS), a general setup that preserves the factual consistency of abstractive summarization by spe...
1210.1630
Herbert Tanner
Jie Fu, Herbert G. Tanner, Jeffrey Heinz, Jane Chandlee, Konstantinos Karydis, and Cesar Koirala
Symbolic Planning and Control Using Game Theory and Grammatical Inference
null
null
null
null
cs.RO cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents an approach that brings together game theory with grammatical inference and discrete abstractions in order to synthesize control strategies for hybrid dynamical systems performing tasks in partially unknown but rule-governed adversarial environments. The combined formulation guarantees that a syst...
[ { "created": "Fri, 5 Oct 2012 02:40:39 GMT", "version": "v1" } ]
2012-10-08
[ [ "Fu", "Jie", "" ], [ "Tanner", "Herbert G.", "" ], [ "Heinz", "Jeffrey", "" ], [ "Chandlee", "Jane", "" ], [ "Karydis", "Konstantinos", "" ], [ "Koirala", "Cesar", "" ] ]
This paper presents an approach that brings together game theory with grammatical inference and discrete abstractions in order to synthesize control strategies for hybrid dynamical systems performing tasks in partially unknown but rule-governed adversarial environments. The combined formulation guarantees that a system...