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1907.01727
Darion Cassel
Darion Cassel, Yan Huang, Limin Jia
Uncovering Information Flow Policy Violations in C Programs
null
null
null
null
cs.CR cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Programmers of cryptographic applications written in C need to avoid common mistakes such as sending private data over public channels, modifying trusted data with untrusted functions, or improperly ordering protocol steps. These secrecy, integrity, and sequencing policies can be cumbersome to check with existing gen...
[ { "created": "Wed, 3 Jul 2019 04:12:11 GMT", "version": "v1" } ]
2019-07-04
[ [ "Cassel", "Darion", "" ], [ "Huang", "Yan", "" ], [ "Jia", "Limin", "" ] ]
Programmers of cryptographic applications written in C need to avoid common mistakes such as sending private data over public channels, modifying trusted data with untrusted functions, or improperly ordering protocol steps. These secrecy, integrity, and sequencing policies can be cumbersome to check with existing gener...
1906.09463
Lucas Gren
Emanuel Mellblom, Isar Arason, Lucas Gren and Richard Torkar
The Connection Between Burnout and Personality Types in Software Developers
null
IEEE Software, 36(5), 2019
10.1109/MS.2019.2924769
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper examines the connection between the Five Factor Model personality traits and burnout in software developers. This study aims to validate generalizations of findings in other fields. An online survey consisting of a miniaturized International Personality Item Pool questionnaire for measuring the Five Factor...
[ { "created": "Sat, 22 Jun 2019 15:40:54 GMT", "version": "v1" } ]
2019-06-25
[ [ "Mellblom", "Emanuel", "" ], [ "Arason", "Isar", "" ], [ "Gren", "Lucas", "" ], [ "Torkar", "Richard", "" ] ]
This paper examines the connection between the Five Factor Model personality traits and burnout in software developers. This study aims to validate generalizations of findings in other fields. An online survey consisting of a miniaturized International Personality Item Pool questionnaire for measuring the Five Factor M...
1703.05486
Oscar De Somer
Oscar De Somer, Ana Soares, Tristan Kuijpers, Koen Vossen, Koen Vanthournout and Fred Spiessens
Using Reinforcement Learning for Demand Response of Domestic Hot Water Buffers: a Real-Life Demonstration
Submitted to IEEE ISGT Europe 2017
null
null
null
cs.SY cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper demonstrates a data-driven control approach for demand response in real-life residential buildings. The objective is to optimally schedule the heating cycles of the Domestic Hot Water (DHW) buffer to maximize the self-consumption of the local photovoltaic (PV) production. A model-based reinforcement learni...
[ { "created": "Thu, 16 Mar 2017 06:42:07 GMT", "version": "v1" } ]
2017-03-17
[ [ "De Somer", "Oscar", "" ], [ "Soares", "Ana", "" ], [ "Kuijpers", "Tristan", "" ], [ "Vossen", "Koen", "" ], [ "Vanthournout", "Koen", "" ], [ "Spiessens", "Fred", "" ] ]
This paper demonstrates a data-driven control approach for demand response in real-life residential buildings. The objective is to optimally schedule the heating cycles of the Domestic Hot Water (DHW) buffer to maximize the self-consumption of the local photovoltaic (PV) production. A model-based reinforcement learning...
2406.16629
Melanie JI M\"uller
Melanie J.I. M\"uller
Meta-experiments: Improving experimentation through experimentation
6 pages, 2 figures, 1 table
null
null
null
cs.IR stat.AP
http://creativecommons.org/licenses/by-nc-sa/4.0/
A/B testing is widexly used in the industry to optimize customer facing websites. Many companies employ experimentation specialists to facilitate and improve the process of A/B testing. Here, we present the application of A/B testing to this improvement effort itself, by running experiments on the experimentation pro...
[ { "created": "Mon, 24 Jun 2024 13:23:00 GMT", "version": "v1" } ]
2024-06-25
[ [ "Müller", "Melanie J. I.", "" ] ]
A/B testing is widexly used in the industry to optimize customer facing websites. Many companies employ experimentation specialists to facilitate and improve the process of A/B testing. Here, we present the application of A/B testing to this improvement effort itself, by running experiments on the experimentation proce...
2203.17191
Daniel Gehrig
Stepan Tulyakov, Alfredo Bochicchio, Daniel Gehrig, Stamatios Georgoulis, Yuanyou Li, and Davide Scaramuzza
Time Lens++: Event-based Frame Interpolation with Parametric Non-linear Flow and Multi-scale Fusion
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, 2022
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently, video frame interpolation using a combination of frame- and event-based cameras has surpassed traditional image-based methods both in terms of performance and memory efficiency. However, current methods still suffer from (i) brittle image-level fusion of complementary interpolation results, that fails in th...
[ { "created": "Thu, 31 Mar 2022 17:14:58 GMT", "version": "v1" }, { "created": "Mon, 25 Apr 2022 09:39:00 GMT", "version": "v2" } ]
2022-04-26
[ [ "Tulyakov", "Stepan", "" ], [ "Bochicchio", "Alfredo", "" ], [ "Gehrig", "Daniel", "" ], [ "Georgoulis", "Stamatios", "" ], [ "Li", "Yuanyou", "" ], [ "Scaramuzza", "Davide", "" ] ]
Recently, video frame interpolation using a combination of frame- and event-based cameras has surpassed traditional image-based methods both in terms of performance and memory efficiency. However, current methods still suffer from (i) brittle image-level fusion of complementary interpolation results, that fails in the ...
2004.04305
Shahin Shayandeh
Swadheen Shukla, Lars Liden, Shahin Shayandeh, Eslam Kamal, Jinchao Li, Matt Mazzola, Thomas Park, Baolin Peng, Jianfeng Gao
Conversation Learner -- A Machine Teaching Tool for Building Dialog Managers for Task-Oriented Dialog Systems
Accepted to ACL 2020 Demonstration Track
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Traditionally, industry solutions for building a task-oriented dialog system have relied on helping dialog authors define rule-based dialog managers, represented as dialog flows. While dialog flows are intuitively interpretable and good for simple scenarios, they fall short of performance in terms of the flexibility ...
[ { "created": "Thu, 9 Apr 2020 00:10:54 GMT", "version": "v1" }, { "created": "Fri, 1 May 2020 20:14:05 GMT", "version": "v2" } ]
2020-05-05
[ [ "Shukla", "Swadheen", "" ], [ "Liden", "Lars", "" ], [ "Shayandeh", "Shahin", "" ], [ "Kamal", "Eslam", "" ], [ "Li", "Jinchao", "" ], [ "Mazzola", "Matt", "" ], [ "Park", "Thomas", "" ], [ "Peng", ...
Traditionally, industry solutions for building a task-oriented dialog system have relied on helping dialog authors define rule-based dialog managers, represented as dialog flows. While dialog flows are intuitively interpretable and good for simple scenarios, they fall short of performance in terms of the flexibility ne...
2105.11989
Rushabh Patel
Rushabh Patel, Yanhui Guo
Graph Based Link Prediction between Human Phenotypes and Genes
null
null
null
null
cs.AI cs.LG cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Background: The learning of genotype-phenotype associations and history of human disease by doing detailed and precise analysis of phenotypic abnormalities can be defined as deep phenotyping. To understand and detect this interaction between phenotype and genotype is a fundamental step when translating precision medi...
[ { "created": "Tue, 25 May 2021 14:47:07 GMT", "version": "v1" }, { "created": "Tue, 1 Jun 2021 18:28:30 GMT", "version": "v2" } ]
2021-06-04
[ [ "Patel", "Rushabh", "" ], [ "Guo", "Yanhui", "" ] ]
Background: The learning of genotype-phenotype associations and history of human disease by doing detailed and precise analysis of phenotypic abnormalities can be defined as deep phenotyping. To understand and detect this interaction between phenotype and genotype is a fundamental step when translating precision medici...
2205.06266
Jonas Pfeiffer
Jonas Pfeiffer, Naman Goyal, Xi Victoria Lin, Xian Li, James Cross, Sebastian Riedel, Mikel Artetxe
Lifting the Curse of Multilinguality by Pre-training Modular Transformers
NAACL 2022
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multilingual pre-trained models are known to suffer from the curse of multilinguality, which causes per-language performance to drop as they cover more languages. We address this issue by introducing language-specific modules, which allows us to grow the total capacity of the model, while keeping the total number of ...
[ { "created": "Thu, 12 May 2022 17:59:56 GMT", "version": "v1" } ]
2022-05-13
[ [ "Pfeiffer", "Jonas", "" ], [ "Goyal", "Naman", "" ], [ "Lin", "Xi Victoria", "" ], [ "Li", "Xian", "" ], [ "Cross", "James", "" ], [ "Riedel", "Sebastian", "" ], [ "Artetxe", "Mikel", "" ] ]
Multilingual pre-trained models are known to suffer from the curse of multilinguality, which causes per-language performance to drop as they cover more languages. We address this issue by introducing language-specific modules, which allows us to grow the total capacity of the model, while keeping the total number of tr...
2402.05687
Gabriel Martins de Jesus
Gabriel Martins de Jesus, Onel Luis Alcaraz Lopez, Richard Demo Souza, Nurul Huda Mahmood, Markku Juntti, Matti Latva-Aho
Assessment of the Sparsity-Diversity Trade-offs in Active Users Detection for mMTC
5 pages, 5 figures. Manuscript submitted to IEEE Wireless Communications Letters for review
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Wireless communication systems must increasingly support a multitude of machine-type communications (MTC) devices, thus calling for advanced strategies for active user detection (AUD). Recent literature has delved into AUD techniques based on compressed sensing, highlighting the critical role of signal sparsity. This...
[ { "created": "Thu, 8 Feb 2024 14:06:01 GMT", "version": "v1" } ]
2024-02-09
[ [ "de Jesus", "Gabriel Martins", "" ], [ "Lopez", "Onel Luis Alcaraz", "" ], [ "Souza", "Richard Demo", "" ], [ "Mahmood", "Nurul Huda", "" ], [ "Juntti", "Markku", "" ], [ "Latva-Aho", "Matti", "" ] ]
Wireless communication systems must increasingly support a multitude of machine-type communications (MTC) devices, thus calling for advanced strategies for active user detection (AUD). Recent literature has delved into AUD techniques based on compressed sensing, highlighting the critical role of signal sparsity. This s...
1809.10842
Yi Wu
Yi Wu, Yuxin Wu, Aviv Tamar, Stuart Russell, Georgia Gkioxari, Yuandong Tian
Learning and Planning with a Semantic Model
submitted to ICLR 2019
null
null
null
cs.LG cs.AI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Building deep reinforcement learning agents that can generalize and adapt to unseen environments remains a fundamental challenge for AI. This paper describes progresses on this challenge in the context of man-made environments, which are visually diverse but contain intrinsic semantic regularities. We propose a hybri...
[ { "created": "Fri, 28 Sep 2018 03:30:37 GMT", "version": "v1" } ]
2018-10-01
[ [ "Wu", "Yi", "" ], [ "Wu", "Yuxin", "" ], [ "Tamar", "Aviv", "" ], [ "Russell", "Stuart", "" ], [ "Gkioxari", "Georgia", "" ], [ "Tian", "Yuandong", "" ] ]
Building deep reinforcement learning agents that can generalize and adapt to unseen environments remains a fundamental challenge for AI. This paper describes progresses on this challenge in the context of man-made environments, which are visually diverse but contain intrinsic semantic regularities. We propose a hybrid ...
1810.11530
Pascal Lamblin
Bart van Merri\"enboer, Olivier Breuleux, Arnaud Bergeron, Pascal Lamblin
Automatic differentiation in ML: Where we are and where we should be going
null
null
null
null
cs.LG cs.PL stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We review the current state of automatic differentiation (AD) for array programming in machine learning (ML), including the different approaches such as operator overloading (OO) and source transformation (ST) used for AD, graph-based intermediate representations for programs, and source languages. Based on these ins...
[ { "created": "Fri, 26 Oct 2018 21:09:07 GMT", "version": "v1" }, { "created": "Wed, 2 Jan 2019 21:16:54 GMT", "version": "v2" } ]
2019-01-04
[ [ "van Merriënboer", "Bart", "" ], [ "Breuleux", "Olivier", "" ], [ "Bergeron", "Arnaud", "" ], [ "Lamblin", "Pascal", "" ] ]
We review the current state of automatic differentiation (AD) for array programming in machine learning (ML), including the different approaches such as operator overloading (OO) and source transformation (ST) used for AD, graph-based intermediate representations for programs, and source languages. Based on these insig...
2108.04197
Haokai Hong
Haokai Hong, Kai Ye, Min Jiang, Donglin Cao, Kay Chen Tan
Solving Large-Scale Multi-Objective Optimization via Probabilistic Prediction Model
17 pages, 2 figures
null
null
null
cs.NE cs.AI
http://creativecommons.org/licenses/by/4.0/
The main feature of large-scale multi-objective optimization problems (LSMOP) is to optimize multiple conflicting objectives while considering thousands of decision variables at the same time. An efficient LSMOP algorithm should have the ability to escape the local optimal solution from the huge search space and find...
[ { "created": "Fri, 16 Jul 2021 09:43:35 GMT", "version": "v1" } ]
2021-08-10
[ [ "Hong", "Haokai", "" ], [ "Ye", "Kai", "" ], [ "Jiang", "Min", "" ], [ "Cao", "Donglin", "" ], [ "Tan", "Kay Chen", "" ] ]
The main feature of large-scale multi-objective optimization problems (LSMOP) is to optimize multiple conflicting objectives while considering thousands of decision variables at the same time. An efficient LSMOP algorithm should have the ability to escape the local optimal solution from the huge search space and find t...
1911.08706
Xing Niu
Xing Niu, Marine Carpuat
Controlling Neural Machine Translation Formality with Synthetic Supervision
Accepted at AAAI 2020
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This work aims to produce translations that convey source language content at a formality level that is appropriate for a particular audience. Framing this problem as a neural sequence-to-sequence task ideally requires training triplets consisting of a bilingual sentence pair labeled with target language formality. H...
[ { "created": "Wed, 20 Nov 2019 04:54:21 GMT", "version": "v1" }, { "created": "Thu, 28 Nov 2019 00:55:36 GMT", "version": "v2" } ]
2019-12-02
[ [ "Niu", "Xing", "" ], [ "Carpuat", "Marine", "" ] ]
This work aims to produce translations that convey source language content at a formality level that is appropriate for a particular audience. Framing this problem as a neural sequence-to-sequence task ideally requires training triplets consisting of a bilingual sentence pair labeled with target language formality. How...
1805.12393
Yuyu Zhang
Yuyu Zhang, Hanjun Dai, Kamil Toraman, Le Song
KG^2: Learning to Reason Science Exam Questions with Contextual Knowledge Graph Embeddings
null
null
null
null
cs.LG cs.AI cs.CL stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The AI2 Reasoning Challenge (ARC), a new benchmark dataset for question answering (QA) has been recently released. ARC only contains natural science questions authored for human exams, which are hard to answer and require advanced logic reasoning. On the ARC Challenge Set, existing state-of-the-art QA systems fail to...
[ { "created": "Thu, 31 May 2018 09:39:14 GMT", "version": "v1" } ]
2018-06-01
[ [ "Zhang", "Yuyu", "" ], [ "Dai", "Hanjun", "" ], [ "Toraman", "Kamil", "" ], [ "Song", "Le", "" ] ]
The AI2 Reasoning Challenge (ARC), a new benchmark dataset for question answering (QA) has been recently released. ARC only contains natural science questions authored for human exams, which are hard to answer and require advanced logic reasoning. On the ARC Challenge Set, existing state-of-the-art QA systems fail to s...
1307.3054
Sucheta Shrivastava
Sayali Nimkar, Sanal Varghese, Sucheta Shrivastava
Contrast Enhancement And Brightness Preservation Using Multi- Decomposition Histogram Equalization
9 pages,13 figures
SIPIJ, Vol.4, Issue.3, pp. 85-93
10.5121/sipij.2013.4308
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Histogram Equalization (HE) has been an essential addition to the Image Enhancement world. Enhancement techniques like Classical Histogram Equalization (CHE), Adaptive Histogram Equalization (ADHE), Bi-Histogram Equalization (BHE) and Recursive Mean Separate Histogram Equalization (RMSHE) methods enhance contrast, ho...
[ { "created": "Thu, 11 Jul 2013 11:02:57 GMT", "version": "v1" } ]
2013-07-12
[ [ "Nimkar", "Sayali", "" ], [ "Varghese", "Sanal", "" ], [ "Shrivastava", "Sucheta", "" ] ]
Histogram Equalization (HE) has been an essential addition to the Image Enhancement world. Enhancement techniques like Classical Histogram Equalization (CHE), Adaptive Histogram Equalization (ADHE), Bi-Histogram Equalization (BHE) and Recursive Mean Separate Histogram Equalization (RMSHE) methods enhance contrast, howe...
1011.3170
James Aspnes
James Aspnes
Slightly smaller splitter networks
null
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The classic renaming protocol of Moir and Anderson (1995) uses a network of Theta(n^2) splitters to assign unique names to n processes with unbounded initial names. We show how to reduce this bound to Theta(n^{3/2}) splitters.
[ { "created": "Sun, 14 Nov 2010 00:52:14 GMT", "version": "v1" } ]
2010-11-16
[ [ "Aspnes", "James", "" ] ]
The classic renaming protocol of Moir and Anderson (1995) uses a network of Theta(n^2) splitters to assign unique names to n processes with unbounded initial names. We show how to reduce this bound to Theta(n^{3/2}) splitters.
1907.11034
Petra Van Den Bos
Petra van den Bos and Frits Vaandrager
State Identification for Labeled Transition Systems with Inputs and Outputs
null
null
null
null
cs.FL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
For Finite State Machines (FSMs) a rich testing theory has been developed to discover aspects of their behavior and ensure their correct functioning. Although this theory is widely used, e.g., to check conformance of protocol implementations, its applicability is limited by restrictions of the FSM framework: the fact...
[ { "created": "Thu, 25 Jul 2019 13:28:31 GMT", "version": "v1" }, { "created": "Tue, 22 Oct 2019 14:43:22 GMT", "version": "v2" } ]
2019-10-23
[ [ "Bos", "Petra van den", "" ], [ "Vaandrager", "Frits", "" ] ]
For Finite State Machines (FSMs) a rich testing theory has been developed to discover aspects of their behavior and ensure their correct functioning. Although this theory is widely used, e.g., to check conformance of protocol implementations, its applicability is limited by restrictions of the FSM framework: the fact t...
1509.02796
Johannes K\"oster
Johannes K\"oster
Rust-Bio - a fast and safe bioinformatics library
null
null
10.1093/bioinformatics/btv573
null
cs.MS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present Rust-Bio, the first general purpose bioinformatics library for the innovative Rust programming language. Rust-Bio leverages the unique combination of speed, memory safety and high-level syntax offered by Rust to provide a fast and safe set of bioinformatics algorithms and data structures with a focus on se...
[ { "created": "Wed, 9 Sep 2015 14:53:02 GMT", "version": "v1" } ]
2015-10-08
[ [ "Köster", "Johannes", "" ] ]
We present Rust-Bio, the first general purpose bioinformatics library for the innovative Rust programming language. Rust-Bio leverages the unique combination of speed, memory safety and high-level syntax offered by Rust to provide a fast and safe set of bioinformatics algorithms and data structures with a focus on sequ...
2406.13188
Naiming (Lucy) Liu
Naiming Liu, Zichao Wang, Richard Baraniuk
Synthetic Context Generation for Question Generation
null
null
null
null
cs.CL cs.LG
http://creativecommons.org/licenses/by/4.0/
Despite rapid advancements in large language models (LLMs), QG remains a challenging problem due to its complicated process, open-ended nature, and the diverse settings in which question generation occurs. A common approach to address these challenges involves fine-tuning smaller, custom models using datasets contain...
[ { "created": "Wed, 19 Jun 2024 03:37:52 GMT", "version": "v1" } ]
2024-06-21
[ [ "Liu", "Naiming", "" ], [ "Wang", "Zichao", "" ], [ "Baraniuk", "Richard", "" ] ]
Despite rapid advancements in large language models (LLMs), QG remains a challenging problem due to its complicated process, open-ended nature, and the diverse settings in which question generation occurs. A common approach to address these challenges involves fine-tuning smaller, custom models using datasets containin...
2103.16185
Jakub Ruszil
Jakub Ruszil
Approximation algorithm for finding short synchronizing words in weighted automata
9 pages, 2 figures
null
null
null
cs.FL cs.DM cs.DS math.CO
http://creativecommons.org/licenses/by/4.0/
In this paper we are dealing with the issue of finding possibly short synchronizing words in automata with weight assigned to each letter in the alphabet $\Sigma$. First we discuss some complexity problems, and then we present new approximation algorithm in four variations.
[ { "created": "Tue, 30 Mar 2021 09:07:57 GMT", "version": "v1" } ]
2021-03-31
[ [ "Ruszil", "Jakub", "" ] ]
In this paper we are dealing with the issue of finding possibly short synchronizing words in automata with weight assigned to each letter in the alphabet $\Sigma$. First we discuss some complexity problems, and then we present new approximation algorithm in four variations.
1206.3634
Ankur Sahai
Ankur Sahai
Balls into Bins: strict Capacities and Edge Weights
null
null
null
null
cs.DS cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We explore a novel theoretical model for studying the performance of distributed storage management systems where the data-centers have limited capacities (as compared to storage space requested by the users). Prior schemes such as Balls-into-bins (used for load balancing) neither consider bin (consumer) capacities (...
[ { "created": "Sat, 16 Jun 2012 07:33:30 GMT", "version": "v1" } ]
2012-06-19
[ [ "Sahai", "Ankur", "" ] ]
We explore a novel theoretical model for studying the performance of distributed storage management systems where the data-centers have limited capacities (as compared to storage space requested by the users). Prior schemes such as Balls-into-bins (used for load balancing) neither consider bin (consumer) capacities (mu...
2403.12031
Xiuyu Li
Qitian Jason Hu, Jacob Bieker, Xiuyu Li, Nan Jiang, Benjamin Keigwin, Gaurav Ranganath, Kurt Keutzer, Shriyash Kaustubh Upadhyay
RouterBench: A Benchmark for Multi-LLM Routing System
null
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As the range of applications for Large Language Models (LLMs) continues to grow, the demand for effective serving solutions becomes increasingly critical. Despite the versatility of LLMs, no single model can optimally address all tasks and applications, particularly when balancing performance with cost. This limitati...
[ { "created": "Mon, 18 Mar 2024 17:59:04 GMT", "version": "v1" }, { "created": "Thu, 28 Mar 2024 17:56:28 GMT", "version": "v2" } ]
2024-03-29
[ [ "Hu", "Qitian Jason", "" ], [ "Bieker", "Jacob", "" ], [ "Li", "Xiuyu", "" ], [ "Jiang", "Nan", "" ], [ "Keigwin", "Benjamin", "" ], [ "Ranganath", "Gaurav", "" ], [ "Keutzer", "Kurt", "" ], [ "Upad...
As the range of applications for Large Language Models (LLMs) continues to grow, the demand for effective serving solutions becomes increasingly critical. Despite the versatility of LLMs, no single model can optimally address all tasks and applications, particularly when balancing performance with cost. This limitation...
2403.13258
Zengqiang Yan
Xian Lin, Yangyang Xiang, Zhehao Wang, Kwang-Ting Cheng, Zengqiang Yan, Li Yu
SAMCT: Segment Any CT Allowing Labor-Free Task-Indicator Prompts
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Segment anything model (SAM), a foundation model with superior versatility and generalization across diverse segmentation tasks, has attracted widespread attention in medical imaging. However, it has been proved that SAM would encounter severe performance degradation due to the lack of medical knowledge in training a...
[ { "created": "Wed, 20 Mar 2024 02:39:15 GMT", "version": "v1" } ]
2024-03-21
[ [ "Lin", "Xian", "" ], [ "Xiang", "Yangyang", "" ], [ "Wang", "Zhehao", "" ], [ "Cheng", "Kwang-Ting", "" ], [ "Yan", "Zengqiang", "" ], [ "Yu", "Li", "" ] ]
Segment anything model (SAM), a foundation model with superior versatility and generalization across diverse segmentation tasks, has attracted widespread attention in medical imaging. However, it has been proved that SAM would encounter severe performance degradation due to the lack of medical knowledge in training and...
1609.05876
Roberto Alonso
Roberto Alonso, Ra\'ul Monroy, Eduardo Aguirre
On the Phase Transition of Finding a Biclique in a larger Bipartite Graph
null
null
null
null
cs.AI cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We report on the phase transition of finding a complete subgraph, of specified dimensions, in a bipartite graph. Finding a complete subgraph in a bipartite graph is a problem that has growing attention in several domains, including bioinformatics, social network analysis and domain clustering. A key step for a succes...
[ { "created": "Mon, 19 Sep 2016 19:22:08 GMT", "version": "v1" } ]
2016-09-20
[ [ "Alonso", "Roberto", "" ], [ "Monroy", "Raúl", "" ], [ "Aguirre", "Eduardo", "" ] ]
We report on the phase transition of finding a complete subgraph, of specified dimensions, in a bipartite graph. Finding a complete subgraph in a bipartite graph is a problem that has growing attention in several domains, including bioinformatics, social network analysis and domain clustering. A key step for a successf...
2110.11240
Nathaniel Hoy
Nathaniel Hoy, Theodora Koulouri
A Systematic Review on the Detection of Fake News Articles
22 Pages, 16 Figures, Currently submitted to ACM TIST - Awaiting Peer-Review
null
null
null
cs.CL cs.AI cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
It has been argued that fake news and the spread of false information pose a threat to societies throughout the world, from influencing the results of elections to hindering the efforts to manage the COVID-19 pandemic. To combat this threat, a number of Natural Language Processing (NLP) approaches have been developed...
[ { "created": "Mon, 18 Oct 2021 21:29:11 GMT", "version": "v1" } ]
2021-10-22
[ [ "Hoy", "Nathaniel", "" ], [ "Koulouri", "Theodora", "" ] ]
It has been argued that fake news and the spread of false information pose a threat to societies throughout the world, from influencing the results of elections to hindering the efforts to manage the COVID-19 pandemic. To combat this threat, a number of Natural Language Processing (NLP) approaches have been developed. ...
1511.08952
Ndapa Nakashole
Ndapandula Nakashole
Bootstrapping Ternary Relation Extractors
6 pages
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Binary relation extraction methods have been widely studied in recent years. However, few methods have been developed for higher n-ary relation extraction. One limiting factor is the effort required to generate training data. For binary relations, one only has to provide a few dozen pairs of entities per relation, as...
[ { "created": "Sun, 29 Nov 2015 00:49:13 GMT", "version": "v1" }, { "created": "Wed, 17 Jul 2019 02:52:34 GMT", "version": "v2" } ]
2019-07-18
[ [ "Nakashole", "Ndapandula", "" ] ]
Binary relation extraction methods have been widely studied in recent years. However, few methods have been developed for higher n-ary relation extraction. One limiting factor is the effort required to generate training data. For binary relations, one only has to provide a few dozen pairs of entities per relation, as t...
2301.03728
Armen Aghajanyan
Armen Aghajanyan, Lili Yu, Alexis Conneau, Wei-Ning Hsu, Karen Hambardzumyan, Susan Zhang, Stephen Roller, Naman Goyal, Omer Levy, Luke Zettlemoyer
Scaling Laws for Generative Mixed-Modal Language Models
null
null
null
null
cs.CL cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
Generative language models define distributions over sequences of tokens that can represent essentially any combination of data modalities (e.g., any permutation of image tokens from VQ-VAEs, speech tokens from HuBERT, BPE tokens for language or code, and so on). To better understand the scaling properties of such mi...
[ { "created": "Tue, 10 Jan 2023 00:20:06 GMT", "version": "v1" } ]
2023-01-11
[ [ "Aghajanyan", "Armen", "" ], [ "Yu", "Lili", "" ], [ "Conneau", "Alexis", "" ], [ "Hsu", "Wei-Ning", "" ], [ "Hambardzumyan", "Karen", "" ], [ "Zhang", "Susan", "" ], [ "Roller", "Stephen", "" ], [ ...
Generative language models define distributions over sequences of tokens that can represent essentially any combination of data modalities (e.g., any permutation of image tokens from VQ-VAEs, speech tokens from HuBERT, BPE tokens for language or code, and so on). To better understand the scaling properties of such mixe...
1602.00430
Biao Sun
Biao Sun, Wenfeng Zhao, Xinshan Zhu
Compressed Sensing for Implantable Neural Recordings Using Co-sparse Analysis Model and Weighted $\ell_1$-Optimization
22 pages, 11 figures
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Reliable and energy-efficient wireless data transmission remains a major challenge in resource-constrained wireless neural recording tasks, where data compression is generally adopted to relax the burdens on the wireless data link. Recently, Compressed Sensing (CS) theory has successfully demonstrated its potential i...
[ { "created": "Mon, 1 Feb 2016 08:57:14 GMT", "version": "v1" } ]
2016-02-02
[ [ "Sun", "Biao", "" ], [ "Zhao", "Wenfeng", "" ], [ "Zhu", "Xinshan", "" ] ]
Reliable and energy-efficient wireless data transmission remains a major challenge in resource-constrained wireless neural recording tasks, where data compression is generally adopted to relax the burdens on the wireless data link. Recently, Compressed Sensing (CS) theory has successfully demonstrated its potential in ...
2208.11188
Vincent Cicirello
Vincent A. Cicirello
On Fitness Landscape Analysis of Permutation Problems: From Distance Metrics to Mutation Operator Selection
Accepted by: Mobile Networks and Applications, Special Issue on Foundational Studies in Bio-Inspired Technologies
Mobile Networks and Applications, 28(2): 507-517, April 2023
10.1007/s11036-022-02060-z
null
cs.NE cs.AI cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we explore the theory and expand upon the practice of fitness landscape analysis for optimization problems over the space of permutations. Many of the computational and analytical tools for fitness landscape analysis, such as fitness distance correlation, require identifying a distance metric for measu...
[ { "created": "Tue, 23 Aug 2022 20:46:49 GMT", "version": "v1" } ]
2023-11-10
[ [ "Cicirello", "Vincent A.", "" ] ]
In this paper, we explore the theory and expand upon the practice of fitness landscape analysis for optimization problems over the space of permutations. Many of the computational and analytical tools for fitness landscape analysis, such as fitness distance correlation, require identifying a distance metric for measuri...
1804.05258
Ross M. McConnell
Pavol Hell and Jing Huang and Ross M. McConnell and Arash Rafiey
Interval-Like Graphs and Digraphs
null
null
null
null
cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We unify several seemingly different graph and digraph classes under one umbrella. These classes are all broadly speaking different generalizations of interval graphs, and include, in addition to interval graphs, also adjusted interval digraphs, threshold graphs, complements of threshold tolerance graphs (known as `c...
[ { "created": "Sat, 14 Apr 2018 18:19:33 GMT", "version": "v1" }, { "created": "Tue, 26 Jun 2018 21:41:10 GMT", "version": "v2" } ]
2018-06-28
[ [ "Hell", "Pavol", "" ], [ "Huang", "Jing", "" ], [ "McConnell", "Ross M.", "" ], [ "Rafiey", "Arash", "" ] ]
We unify several seemingly different graph and digraph classes under one umbrella. These classes are all broadly speaking different generalizations of interval graphs, and include, in addition to interval graphs, also adjusted interval digraphs, threshold graphs, complements of threshold tolerance graphs (known as `co-...
2210.12181
Weizi Li
Weizi Li
Urban Socio-Technical Systems: An Autonomy and Mobility Perspective
null
null
null
null
cs.CY
http://creativecommons.org/licenses/by/4.0/
The future of the human race is urban. The world's population is projected to grow an additional 2.5 billion by 2050, with all expected to live in urban areas. This will increase the percentage of urban population from 55% today to 70% within three decades and further strengthen the role of cities as the hub for info...
[ { "created": "Fri, 21 Oct 2022 18:15:41 GMT", "version": "v1" } ]
2022-10-25
[ [ "Li", "Weizi", "" ] ]
The future of the human race is urban. The world's population is projected to grow an additional 2.5 billion by 2050, with all expected to live in urban areas. This will increase the percentage of urban population from 55% today to 70% within three decades and further strengthen the role of cities as the hub for inform...
2006.09873
Debanjan Ghosh
Debanjan Ghosh, Beata Beigman Klebanov, Yi Song
An Exploratory Study of Argumentative Writing by Young Students: A Transformer-based Approach
15th Workshop on Innovative Use of NLP for Building Educational Applications, ACL 2020
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a computational exploration of argument critique writing by young students. Middle school students were asked to criticize an argument presented in the prompt, focusing on identifying and explaining the reasoning flaws. This task resembles an established college-level argument critique task. Lexical and di...
[ { "created": "Wed, 17 Jun 2020 13:55:31 GMT", "version": "v1" } ]
2020-06-18
[ [ "Ghosh", "Debanjan", "" ], [ "Klebanov", "Beata Beigman", "" ], [ "Song", "Yi", "" ] ]
We present a computational exploration of argument critique writing by young students. Middle school students were asked to criticize an argument presented in the prompt, focusing on identifying and explaining the reasoning flaws. This task resembles an established college-level argument critique task. Lexical and disc...
2204.01690
Rahim Taheri
Meysam Ghahramani, Rahim Taheri, Mohammad Shojafar, Reza Javidan, Shaohua Wan
Deep Image: A precious image based deep learning method for online malware detection in IoT Environment
10 pages, 17 figures, SUBMITTED TO IEEE INTERNET OF THINGS JOURNAL, MARCH 2022
null
null
null
cs.CR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The volume of malware and the number of attacks in IoT devices are rising everyday, which encourages security professionals to continually enhance their malware analysis tools. Researchers in the field of cyber security have extensively explored the usage of sophisticated analytics and the efficiency of malware detec...
[ { "created": "Mon, 4 Apr 2022 17:56:55 GMT", "version": "v1" } ]
2022-04-05
[ [ "Ghahramani", "Meysam", "" ], [ "Taheri", "Rahim", "" ], [ "Shojafar", "Mohammad", "" ], [ "Javidan", "Reza", "" ], [ "Wan", "Shaohua", "" ] ]
The volume of malware and the number of attacks in IoT devices are rising everyday, which encourages security professionals to continually enhance their malware analysis tools. Researchers in the field of cyber security have extensively explored the usage of sophisticated analytics and the efficiency of malware detecti...
1701.05973
Amirhossein Reisizadeh
Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Amir Salman Avestimehr
Coded Computation over Heterogeneous Clusters
This work is published in IEEE Transaction on Information Theory (2019). A preliminary version of this work was published in IEEE International Symposium on Information Theory (ISIT) 2017
null
null
null
cs.DC cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In large-scale distributed computing clusters, such as Amazon EC2, there are several types of "system noise" that can result in major degradation of performance: bottlenecks due to limited communication bandwidth, latency due to straggler nodes, etc. On the other hand, these systems enjoy abundance of redundancy - a ...
[ { "created": "Sat, 21 Jan 2017 03:11:47 GMT", "version": "v1" }, { "created": "Fri, 16 Jun 2017 23:06:31 GMT", "version": "v2" }, { "created": "Mon, 2 Apr 2018 21:43:11 GMT", "version": "v3" }, { "created": "Tue, 9 Oct 2018 06:03:03 GMT", "version": "v4" }, { "cre...
2019-06-21
[ [ "Reisizadeh", "Amirhossein", "" ], [ "Prakash", "Saurav", "" ], [ "Pedarsani", "Ramtin", "" ], [ "Avestimehr", "Amir Salman", "" ] ]
In large-scale distributed computing clusters, such as Amazon EC2, there are several types of "system noise" that can result in major degradation of performance: bottlenecks due to limited communication bandwidth, latency due to straggler nodes, etc. On the other hand, these systems enjoy abundance of redundancy - a va...
1904.08562
Jonathan Sterling
Jonathan Sterling, Carlo Angiuli, Daniel Gratzer
Cubical Syntax for Reflection-Free Extensional Equality
Extended version; International Conference on Formal Structures for Computation and Deduction (FSCD), 2019
null
10.4230/LIPIcs.FSCD.2019.31
null
cs.LO math.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We contribute XTT, a cubical reconstruction of Observational Type Theory which extends Martin-L\"of's intensional type theory with a dependent equality type that enjoys function extensionality and a judgmental version of the unicity of identity types principle (UIP): any two elements of the same equality type are jud...
[ { "created": "Thu, 18 Apr 2019 01:52:13 GMT", "version": "v1" }, { "created": "Thu, 6 Jun 2019 19:43:41 GMT", "version": "v2" } ]
2021-04-20
[ [ "Sterling", "Jonathan", "" ], [ "Angiuli", "Carlo", "" ], [ "Gratzer", "Daniel", "" ] ]
We contribute XTT, a cubical reconstruction of Observational Type Theory which extends Martin-L\"of's intensional type theory with a dependent equality type that enjoys function extensionality and a judgmental version of the unicity of identity types principle (UIP): any two elements of the same equality type are judgm...
2403.15786
Kaiwen Wang
Kaiwen Wang, Yinzhe Shen, Martin Lauer
Adversarial Defense Teacher for Cross-Domain Object Detection under Poor Visibility Conditions
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Existing object detectors encounter challenges in handling domain shifts between training and real-world data, particularly under poor visibility conditions like fog and night. Cutting-edge cross-domain object detection methods use teacher-student frameworks and compel teacher and student models to produce consistent...
[ { "created": "Sat, 23 Mar 2024 10:16:05 GMT", "version": "v1" } ]
2024-03-26
[ [ "Wang", "Kaiwen", "" ], [ "Shen", "Yinzhe", "" ], [ "Lauer", "Martin", "" ] ]
Existing object detectors encounter challenges in handling domain shifts between training and real-world data, particularly under poor visibility conditions like fog and night. Cutting-edge cross-domain object detection methods use teacher-student frameworks and compel teacher and student models to produce consistent p...
1903.07290
Wonseok Ha
Wonseok Ha and Juhoon Back
An Output Feedback Stabilizer for MIMO Nonlinear Systems with Uncertain Input Gain: Nonlinear Nominal Model
8 pages, 6 figures
null
null
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper deals with the output feedback stabilization problem of nonlinear multi-input multi-output systems having an uncertain input gain matrix. It is assumed that the system has a well-defined vector relative degree and that the zero dynamics is input-to-state stable. Based on the assumption that there exists a ...
[ { "created": "Mon, 18 Mar 2019 07:56:01 GMT", "version": "v1" } ]
2019-03-19
[ [ "Ha", "Wonseok", "" ], [ "Back", "Juhoon", "" ] ]
This paper deals with the output feedback stabilization problem of nonlinear multi-input multi-output systems having an uncertain input gain matrix. It is assumed that the system has a well-defined vector relative degree and that the zero dynamics is input-to-state stable. Based on the assumption that there exists a st...
2404.07963
Songlin Xu
Songlin Xu, Xinyu Zhang, Lianhui Qin
EduAgent: Generative Student Agents in Learning
null
null
null
null
cs.CY cs.AI cs.CL cs.HC cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
Student simulation in online education is important to address dynamic learning behaviors of students with diverse backgrounds. Existing simulation models based on deep learning usually need massive training data, lacking prior knowledge in educational contexts. Large language models (LLMs) may contain such prior kno...
[ { "created": "Sat, 23 Mar 2024 18:19:17 GMT", "version": "v1" } ]
2024-04-12
[ [ "Xu", "Songlin", "" ], [ "Zhang", "Xinyu", "" ], [ "Qin", "Lianhui", "" ] ]
Student simulation in online education is important to address dynamic learning behaviors of students with diverse backgrounds. Existing simulation models based on deep learning usually need massive training data, lacking prior knowledge in educational contexts. Large language models (LLMs) may contain such prior knowl...
2209.07386
Mete \c{S}eref Ahunbay
Mete \c{S}eref Ahunbay and Martin Bichler and Johannes Kn\"orr
Pricing Optimal Outcomes in Coupled and Non-Convex Markets: Theory and Applications to Electricity Markets
44 pages, 2 figures
null
null
null
cs.GT
http://creativecommons.org/licenses/by/4.0/
According to the fundamental theorems of welfare economics, any competitive equilibrium is Pareto efficient. Unfortunately, competitive equilibrium prices only exist under strong assumptions such as perfectly divisible goods and convex preferences. In many real-world markets, participants have non-convex preferences ...
[ { "created": "Thu, 15 Sep 2022 15:51:46 GMT", "version": "v1" }, { "created": "Tue, 23 May 2023 13:43:12 GMT", "version": "v2" } ]
2023-05-24
[ [ "Ahunbay", "Mete Şeref", "" ], [ "Bichler", "Martin", "" ], [ "Knörr", "Johannes", "" ] ]
According to the fundamental theorems of welfare economics, any competitive equilibrium is Pareto efficient. Unfortunately, competitive equilibrium prices only exist under strong assumptions such as perfectly divisible goods and convex preferences. In many real-world markets, participants have non-convex preferences an...
2306.14142
Eugene T.Y. Ang
Eugene Ang, Prasanta Bhattacharya, Andrew Lim
Estimating Policy Effects in a Social Network with Independent Set Sampling
null
null
null
null
cs.SI stat.ME
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Evaluating the impact of policy interventions on respondents who are embedded in a social network is often challenging due to the presence of network interference within the treatment groups, as well as between treatment and non-treatment groups throughout the network. In this paper, we propose a modeling strategy th...
[ { "created": "Sun, 25 Jun 2023 06:30:58 GMT", "version": "v1" }, { "created": "Fri, 1 Sep 2023 12:30:40 GMT", "version": "v2" }, { "created": "Mon, 26 Feb 2024 03:58:58 GMT", "version": "v3" } ]
2024-02-27
[ [ "Ang", "Eugene", "" ], [ "Bhattacharya", "Prasanta", "" ], [ "Lim", "Andrew", "" ] ]
Evaluating the impact of policy interventions on respondents who are embedded in a social network is often challenging due to the presence of network interference within the treatment groups, as well as between treatment and non-treatment groups throughout the network. In this paper, we propose a modeling strategy that...
2312.15964
Hyun Kang
Hyun Kang, Dohae Lee, Myungjin Shin, In-Kwon Lee
Semantic Guidance Tuning for Text-To-Image Diffusion Models
Rework is being done
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by/4.0/
Recent advancements in Text-to-Image (T2I) diffusion models have demonstrated impressive success in generating high-quality images with zero-shot generalization capabilities. Yet, current models struggle to closely adhere to prompt semantics, often misrepresenting or overlooking specific attributes. To address this, ...
[ { "created": "Tue, 26 Dec 2023 09:02:17 GMT", "version": "v1" }, { "created": "Tue, 30 Jan 2024 04:55:29 GMT", "version": "v2" } ]
2024-01-31
[ [ "Kang", "Hyun", "" ], [ "Lee", "Dohae", "" ], [ "Shin", "Myungjin", "" ], [ "Lee", "In-Kwon", "" ] ]
Recent advancements in Text-to-Image (T2I) diffusion models have demonstrated impressive success in generating high-quality images with zero-shot generalization capabilities. Yet, current models struggle to closely adhere to prompt semantics, often misrepresenting or overlooking specific attributes. To address this, we...
0710.4905
Oliver Kosut
Oliver Kosut, Lang Tong
Distributed Source Coding in the Presence of Byzantine Sensors
14 pages. Submitted to IEEE Trans. on IT, Information-theoretic Security special issue, February 2007. Revised October 2007
null
10.1109/TIT.2008.921867
null
cs.IT math.IT
null
The distributed source coding problem is considered when the sensors, or encoders, are under Byzantine attack; that is, an unknown group of sensors have been reprogrammed by a malicious intruder to undermine the reconstruction at the fusion center. Three different forms of the problem are considered. The first is a v...
[ { "created": "Thu, 25 Oct 2007 16:22:59 GMT", "version": "v1" } ]
2016-11-15
[ [ "Kosut", "Oliver", "" ], [ "Tong", "Lang", "" ] ]
The distributed source coding problem is considered when the sensors, or encoders, are under Byzantine attack; that is, an unknown group of sensors have been reprogrammed by a malicious intruder to undermine the reconstruction at the fusion center. Three different forms of the problem are considered. The first is a var...
0906.1182
Paolo Mancarella
P. Mancarella, G. Terreni, F. Sadri, F. Toni, U. Endriss
The CIFF Proof Procedure for Abductive Logic Programming with Constraints: Theory, Implementation and Experiments
null
null
null
null
cs.AI cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present the CIFF proof procedure for abductive logic programming with constraints, and we prove its correctness. CIFF is an extension of the IFF proof procedure for abductive logic programming, relaxing the original restrictions over variable quantification (allowedness conditions) and incorporating a constraint s...
[ { "created": "Fri, 5 Jun 2009 16:13:23 GMT", "version": "v1" } ]
2009-06-08
[ [ "Mancarella", "P.", "" ], [ "Terreni", "G.", "" ], [ "Sadri", "F.", "" ], [ "Toni", "F.", "" ], [ "Endriss", "U.", "" ] ]
We present the CIFF proof procedure for abductive logic programming with constraints, and we prove its correctness. CIFF is an extension of the IFF proof procedure for abductive logic programming, relaxing the original restrictions over variable quantification (allowedness conditions) and incorporating a constraint sol...
2408.04092
Steven Xia
Siyuan Xia, Chris Zhu, Tapan Srivastava, Bridget Fahey, Raul Castro Fernandez
Programmable Dataflows: Abstraction and Programming Model for Data Sharing
null
null
null
null
cs.DB
http://creativecommons.org/licenses/by-nc-nd/4.0/
Data sharing is central to a wide variety of applications such as fraud detection, ad matching, and research. The lack of data sharing abstractions makes the solution to each data sharing problem bespoke and cost-intensive, hampering value generation. In this paper, we first introduce a data sharing model to represen...
[ { "created": "Wed, 7 Aug 2024 21:15:57 GMT", "version": "v1" } ]
2024-08-09
[ [ "Xia", "Siyuan", "" ], [ "Zhu", "Chris", "" ], [ "Srivastava", "Tapan", "" ], [ "Fahey", "Bridget", "" ], [ "Fernandez", "Raul Castro", "" ] ]
Data sharing is central to a wide variety of applications such as fraud detection, ad matching, and research. The lack of data sharing abstractions makes the solution to each data sharing problem bespoke and cost-intensive, hampering value generation. In this paper, we first introduce a data sharing model to represent ...
1901.09002
Tai Sing Lee
Jielin Qiu, Ge Huang, Tai Sing Lee
A Neurally-Inspired Hierarchical Prediction Network for Spatiotemporal Sequence Learning and Prediction
Some of the results are not replicable
null
null
null
cs.NE cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we developed a hierarchical network model, called Hierarchical Prediction Network (HPNet), to understand how spatiotemporal memories might be learned and encoded in the recurrent circuits in the visual cortical hierarchy for predicting future video frames. This neurally inspired model operates in the an...
[ { "created": "Fri, 25 Jan 2019 18:03:17 GMT", "version": "v1" }, { "created": "Fri, 1 Oct 2021 12:59:31 GMT", "version": "v2" } ]
2021-10-04
[ [ "Qiu", "Jielin", "" ], [ "Huang", "Ge", "" ], [ "Lee", "Tai Sing", "" ] ]
In this paper we developed a hierarchical network model, called Hierarchical Prediction Network (HPNet), to understand how spatiotemporal memories might be learned and encoded in the recurrent circuits in the visual cortical hierarchy for predicting future video frames. This neurally inspired model operates in the anal...
1207.1257
Anton Belov
Anton Belov and Joao Marques-Silva
Generalizing Redundancy in Propositional Logic: Foundations and Hitting Sets Duality
13 pages; first part of series on labelled CNF formulas; fixed some references
null
null
null
cs.LO cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Detection and elimination of redundant clauses from propositional formulas in Conjunctive Normal Form (CNF) is a fundamental problem with numerous application domains, including AI, and has been the subject of extensive research. Moreover, a number of recent applications motivated various extensions of this problem. ...
[ { "created": "Thu, 5 Jul 2012 13:57:40 GMT", "version": "v1" }, { "created": "Tue, 10 Jul 2012 01:15:08 GMT", "version": "v2" } ]
2012-07-11
[ [ "Belov", "Anton", "" ], [ "Marques-Silva", "Joao", "" ] ]
Detection and elimination of redundant clauses from propositional formulas in Conjunctive Normal Form (CNF) is a fundamental problem with numerous application domains, including AI, and has been the subject of extensive research. Moreover, a number of recent applications motivated various extensions of this problem. Fo...
2011.10534
Olivier Carton
Olivier Carton
Ambiguity through the lens of measure theory
null
null
null
null
cs.FL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we establish a strong link between the ambiguity for finite words of a B\"uchi automaton and the ambiguity for infinite words of the same automaton. This link is based on measure theory. More precisely, we show that such an automaton is unambiguous, in the sense that no finite word labels two runs with...
[ { "created": "Fri, 20 Nov 2020 18:06:10 GMT", "version": "v1" }, { "created": "Thu, 27 Jan 2022 17:48:57 GMT", "version": "v2" }, { "created": "Tue, 8 Feb 2022 14:26:46 GMT", "version": "v3" }, { "created": "Fri, 22 Apr 2022 16:13:46 GMT", "version": "v4" } ]
2022-04-25
[ [ "Carton", "Olivier", "" ] ]
In this paper, we establish a strong link between the ambiguity for finite words of a B\"uchi automaton and the ambiguity for infinite words of the same automaton. This link is based on measure theory. More precisely, we show that such an automaton is unambiguous, in the sense that no finite word labels two runs with t...
2406.13355
Umberto Mart\'inez-Pe\~nas
Umberto Mart\'inez-Pe\~nas and Rub\'en Rodr\'iguez-Ballesteros
Linear codes in the folded Hamming distance and the quasi MDS property
null
null
null
null
cs.IT math.IT
http://creativecommons.org/publicdomain/zero/1.0/
In this work, we study linear codes with the folded Hamming distance, or equivalently, codes with the classical Hamming distance that are linear over a subfield. This includes additive codes. We study MDS codes in this setting and define quasi MDS (QMDS) codes and dually QMDS codes, which attain a more relaxed varian...
[ { "created": "Wed, 19 Jun 2024 09:01:11 GMT", "version": "v1" } ]
2024-06-21
[ [ "Martínez-Peñas", "Umberto", "" ], [ "Rodríguez-Ballesteros", "Rubén", "" ] ]
In this work, we study linear codes with the folded Hamming distance, or equivalently, codes with the classical Hamming distance that are linear over a subfield. This includes additive codes. We study MDS codes in this setting and define quasi MDS (QMDS) codes and dually QMDS codes, which attain a more relaxed variant ...
1904.12058
Muhan Zhang
Muhan Zhang, Yixin Chen
Inductive Matrix Completion Based on Graph Neural Networks
Accepted as a spotlight presentation at ICLR-2020
null
null
null
cs.IR cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose an inductive matrix completion model without using side information. By factorizing the (rating) matrix into the product of low-dimensional latent embeddings of rows (users) and columns (items), a majority of existing matrix completion methods are transductive, since the learned embeddings cannot generaliz...
[ { "created": "Fri, 26 Apr 2019 21:58:46 GMT", "version": "v1" }, { "created": "Sun, 6 Oct 2019 03:08:54 GMT", "version": "v2" }, { "created": "Sun, 16 Feb 2020 04:27:14 GMT", "version": "v3" } ]
2020-02-18
[ [ "Zhang", "Muhan", "" ], [ "Chen", "Yixin", "" ] ]
We propose an inductive matrix completion model without using side information. By factorizing the (rating) matrix into the product of low-dimensional latent embeddings of rows (users) and columns (items), a majority of existing matrix completion methods are transductive, since the learned embeddings cannot generalize ...
2203.10744
Chen Wu
Changran Hu, Akshara Reddi Methukupalli, Yutong Zhou, Chen Wu, Yubo Chen
Programming Language Agnostic Mining of Code and Language Pairs with Sequence Labeling Based Question Answering
null
null
null
null
cs.CL cs.PL
http://creativecommons.org/licenses/by/4.0/
Mining aligned natural language (NL) and programming language (PL) pairs is a critical task to NL-PL understanding. Existing methods applied specialized hand-crafted features or separately-trained models for each PL. However, they usually suffered from low transferability across multiple PLs, especially for niche PLs...
[ { "created": "Mon, 21 Mar 2022 05:33:59 GMT", "version": "v1" } ]
2022-03-22
[ [ "Hu", "Changran", "" ], [ "Methukupalli", "Akshara Reddi", "" ], [ "Zhou", "Yutong", "" ], [ "Wu", "Chen", "" ], [ "Chen", "Yubo", "" ] ]
Mining aligned natural language (NL) and programming language (PL) pairs is a critical task to NL-PL understanding. Existing methods applied specialized hand-crafted features or separately-trained models for each PL. However, they usually suffered from low transferability across multiple PLs, especially for niche PLs w...
2302.04529
Martijn Goorden
Martijn A. Goorden, Kim G. Larsen, Axel Legay, Florian Lorber, Ulrik Nyman, Andrzej Wasowski
Timed I/O Automata: It is never too late to complete your timed specification theory
Version submitted for review
null
null
null
cs.FL cs.SE
http://creativecommons.org/licenses/by/4.0/
A specification theory combines notions of specifications and implementations with a satisfaction relation, a refinement relation and a set of operators supporting stepwise design. We develop a complete specification framework for real-time systems using Timed I/O Automata as the specification formalism, with the sem...
[ { "created": "Thu, 9 Feb 2023 09:41:48 GMT", "version": "v1" }, { "created": "Thu, 13 Jul 2023 07:50:12 GMT", "version": "v2" } ]
2023-07-14
[ [ "Goorden", "Martijn A.", "" ], [ "Larsen", "Kim G.", "" ], [ "Legay", "Axel", "" ], [ "Lorber", "Florian", "" ], [ "Nyman", "Ulrik", "" ], [ "Wasowski", "Andrzej", "" ] ]
A specification theory combines notions of specifications and implementations with a satisfaction relation, a refinement relation and a set of operators supporting stepwise design. We develop a complete specification framework for real-time systems using Timed I/O Automata as the specification formalism, with the seman...
2104.04474
Chavit Denninnart
Chavit Denninnart, Mohsen Amini Salehi
Harnessing the Potential of Function-Reuse in Multimedia Cloud Systems
null
null
null
null
cs.DC cs.MM
http://creativecommons.org/licenses/by/4.0/
Cloud-based computing systems can get oversubscribed due to the budget constraints of their users or limitations in certain resource types. The oversubscription can, in turn, degrade the users perceived Quality of Service (QoS). The approach we investigate to mitigate both the oversubscription and the incurred cost i...
[ { "created": "Fri, 9 Apr 2021 16:45:53 GMT", "version": "v1" } ]
2021-04-12
[ [ "Denninnart", "Chavit", "" ], [ "Salehi", "Mohsen Amini", "" ] ]
Cloud-based computing systems can get oversubscribed due to the budget constraints of their users or limitations in certain resource types. The oversubscription can, in turn, degrade the users perceived Quality of Service (QoS). The approach we investigate to mitigate both the oversubscription and the incurred cost is ...
2108.05876
Emiliano De Cristofaro
Pujan Paudel, Jeremy Blackburn, Emiliano De Cristofaro, Savvas Zannettou, and Gianluca Stringhini
An Early Look at the Gettr Social Network
null
null
null
null
cs.CY cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents the first data-driven analysis of Gettr, a new social network platform launched by former US President Donald Trump's team. Among other things, we find that users on the platform heavily discuss politics, with a focus on the Trump campaign in the US and Bolsonaro's in Brazil. Activity on the platf...
[ { "created": "Thu, 12 Aug 2021 17:49:30 GMT", "version": "v1" } ]
2021-08-13
[ [ "Paudel", "Pujan", "" ], [ "Blackburn", "Jeremy", "" ], [ "De Cristofaro", "Emiliano", "" ], [ "Zannettou", "Savvas", "" ], [ "Stringhini", "Gianluca", "" ] ]
This paper presents the first data-driven analysis of Gettr, a new social network platform launched by former US President Donald Trump's team. Among other things, we find that users on the platform heavily discuss politics, with a focus on the Trump campaign in the US and Bolsonaro's in Brazil. Activity on the platfor...
1712.07642
Fereshteh Sadeghi
Fereshteh Sadeghi, Alexander Toshev, Eric Jang, Sergey Levine
Sim2Real View Invariant Visual Servoing by Recurrent Control
Supplementary video: https://fsadeghi.github.io/Sim2RealViewInvariantServo
null
null
null
cs.CV cs.LG cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Humans are remarkably proficient at controlling their limbs and tools from a wide range of viewpoints and angles, even in the presence of optical distortions. In robotics, this ability is referred to as visual servoing: moving a tool or end-point to a desired location using primarily visual feedback. In this paper, w...
[ { "created": "Wed, 20 Dec 2017 18:54:29 GMT", "version": "v1" } ]
2017-12-21
[ [ "Sadeghi", "Fereshteh", "" ], [ "Toshev", "Alexander", "" ], [ "Jang", "Eric", "" ], [ "Levine", "Sergey", "" ] ]
Humans are remarkably proficient at controlling their limbs and tools from a wide range of viewpoints and angles, even in the presence of optical distortions. In robotics, this ability is referred to as visual servoing: moving a tool or end-point to a desired location using primarily visual feedback. In this paper, we ...
2403.13433
Zhouhong Gu
Zhouhong Gu, Xiaoxuan Zhu, Haoran Guo, Lin Zhang, Yin Cai, Hao Shen, Jiangjie Chen, Zheyu Ye, Yifei Dai, Yan Gao, Yao Hu, Hongwei Feng, Yanghua Xiao
AgentGroupChat: An Interactive Group Chat Simulacra For Better Eliciting Emergent Behavior
null
null
null
null
cs.AI cs.CL cs.CY
http://creativecommons.org/licenses/by/4.0/
Language significantly influences the formation and evolution of Human emergent behavior, which is crucial in understanding collective intelligence within human societies. Considering that the study of how language affects human behavior needs to put it into the dynamic scenarios in which it is used, we introduce Age...
[ { "created": "Wed, 20 Mar 2024 09:21:32 GMT", "version": "v1" }, { "created": "Thu, 4 Apr 2024 07:40:31 GMT", "version": "v2" } ]
2024-04-05
[ [ "Gu", "Zhouhong", "" ], [ "Zhu", "Xiaoxuan", "" ], [ "Guo", "Haoran", "" ], [ "Zhang", "Lin", "" ], [ "Cai", "Yin", "" ], [ "Shen", "Hao", "" ], [ "Chen", "Jiangjie", "" ], [ "Ye", "Zheyu", ...
Language significantly influences the formation and evolution of Human emergent behavior, which is crucial in understanding collective intelligence within human societies. Considering that the study of how language affects human behavior needs to put it into the dynamic scenarios in which it is used, we introduce Agent...
2006.07123
Roman Pogodin
Roman Pogodin and Peter E. Latham
Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networks
Accepted to NeurIPS 2020
null
null
null
cs.LG q-bio.NC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The state-of-the art machine learning approach to training deep neural networks, backpropagation, is implausible for real neural networks: neurons need to know their outgoing weights; training alternates between a bottom-up forward pass (computation) and a top-down backward pass (learning); and the algorithm often ne...
[ { "created": "Fri, 12 Jun 2020 12:30:53 GMT", "version": "v1" }, { "created": "Fri, 23 Oct 2020 17:00:59 GMT", "version": "v2" } ]
2020-10-26
[ [ "Pogodin", "Roman", "" ], [ "Latham", "Peter E.", "" ] ]
The state-of-the art machine learning approach to training deep neural networks, backpropagation, is implausible for real neural networks: neurons need to know their outgoing weights; training alternates between a bottom-up forward pass (computation) and a top-down backward pass (learning); and the algorithm often need...
1706.00399
Veit Elser
Veit Elser, Ti-Yen Lan and Tamir Bendory
Benchmark problems for phase retrieval
27 pages, 10 figures, new references, modified appendix, improved presentation
null
null
null
cs.IT math.IT physics.data-an
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In recent years, the mathematical and algorithmic aspects of the phase retrieval problem have received considerable attention. Many papers in this area mention crystallography as a principal application. In crystallography, the signal to be recovered is periodic and comprised of atomic distributions arranged homogene...
[ { "created": "Thu, 1 Jun 2017 17:22:43 GMT", "version": "v1" }, { "created": "Tue, 13 Feb 2018 20:31:32 GMT", "version": "v2" }, { "created": "Thu, 14 Jun 2018 15:28:00 GMT", "version": "v3" } ]
2018-06-15
[ [ "Elser", "Veit", "" ], [ "Lan", "Ti-Yen", "" ], [ "Bendory", "Tamir", "" ] ]
In recent years, the mathematical and algorithmic aspects of the phase retrieval problem have received considerable attention. Many papers in this area mention crystallography as a principal application. In crystallography, the signal to be recovered is periodic and comprised of atomic distributions arranged homogeneou...
2312.09087
J\"ames M\'en\'etrey
J\"ames M\'en\'etrey and Marcelo Pasin and Pascal Felber and Valerio Schiavoni and Giovanni Mazzeo and Arne Hollum and Darshan Vaydia
A Comprehensive Trusted Runtime for WebAssembly with Intel SGX
This publication incorporates results from the VEDLIoT project, which received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 957197. arXiv admin note: text overlap with arXiv:2103.15860
TDSC: IEEE Transactions on Dependable and Secure Computing, November, 2023
10.1109/TDSC.2023.3334516
null
cs.CR cs.PF cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In real-world scenarios, trusted execution environments (TEEs) frequently host applications that lack the trust of the infrastructure provider, as well as data owners who have specifically outsourced their data for remote processing. We present Twine, a trusted runtime for running WebAssembly-compiled applications wi...
[ { "created": "Thu, 14 Dec 2023 16:19:00 GMT", "version": "v1" } ]
2023-12-15
[ [ "Ménétrey", "Jämes", "" ], [ "Pasin", "Marcelo", "" ], [ "Felber", "Pascal", "" ], [ "Schiavoni", "Valerio", "" ], [ "Mazzeo", "Giovanni", "" ], [ "Hollum", "Arne", "" ], [ "Vaydia", "Darshan", "" ] ]
In real-world scenarios, trusted execution environments (TEEs) frequently host applications that lack the trust of the infrastructure provider, as well as data owners who have specifically outsourced their data for remote processing. We present Twine, a trusted runtime for running WebAssembly-compiled applications with...
0712.4075
Vitaly Skachek
Vitaly Skachek, Mark F. Flanagan, Eimear Byrne, Marcus Greferath
Polytope Representations for Linear-Programming Decoding of Non-Binary Linear Codes
5 pages, to appear in 2008 IEEE International Symposium on Information Theory
null
10.1109/ISIT.2008.4595239
null
cs.IT math.IT
null
In previous work, we demonstrated how decoding of a non-binary linear code could be formulated as a linear-programming problem. In this paper, we study different polytopes for use with linear-programming decoding, and show that for many classes of codes these polytopes yield a complexity advantage for decoding. These...
[ { "created": "Tue, 25 Dec 2007 15:44:01 GMT", "version": "v1" }, { "created": "Thu, 17 Apr 2008 17:35:15 GMT", "version": "v2" } ]
2016-11-18
[ [ "Skachek", "Vitaly", "" ], [ "Flanagan", "Mark F.", "" ], [ "Byrne", "Eimear", "" ], [ "Greferath", "Marcus", "" ] ]
In previous work, we demonstrated how decoding of a non-binary linear code could be formulated as a linear-programming problem. In this paper, we study different polytopes for use with linear-programming decoding, and show that for many classes of codes these polytopes yield a complexity advantage for decoding. These r...
2405.03089
Ismail Alkhouri
Xitong Zhang, Ismail R. Alkhouri, Rongrong Wang
Structure-Preserving Network Compression Via Low-Rank Induced Training Through Linear Layers Composition
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Deep Neural Networks (DNNs) have achieved remarkable success in addressing many previously unsolvable tasks. However, the storage and computational requirements associated with DNNs pose a challenge for deploying these trained models on resource-limited devices. Therefore, a plethora of compression and pruning techni...
[ { "created": "Mon, 6 May 2024 00:58:23 GMT", "version": "v1" } ]
2024-05-07
[ [ "Zhang", "Xitong", "" ], [ "Alkhouri", "Ismail R.", "" ], [ "Wang", "Rongrong", "" ] ]
Deep Neural Networks (DNNs) have achieved remarkable success in addressing many previously unsolvable tasks. However, the storage and computational requirements associated with DNNs pose a challenge for deploying these trained models on resource-limited devices. Therefore, a plethora of compression and pruning techniqu...
2306.08925
Xiaoyi Bao
Xiaoyi Bao, Xiaotong Jiang, Zhongqing Wang, Yue Zhang, and Guodong Zhou
Opinion Tree Parsing for Aspect-based Sentiment Analysis
null
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
Extracting sentiment elements using pre-trained generative models has recently led to large improvements in aspect-based sentiment analysis benchmarks. However, these models always need large-scale computing resources, and they also ignore explicit modeling of structure between sentiment elements. To address these ch...
[ { "created": "Thu, 15 Jun 2023 07:53:14 GMT", "version": "v1" } ]
2023-06-16
[ [ "Bao", "Xiaoyi", "" ], [ "Jiang", "Xiaotong", "" ], [ "Wang", "Zhongqing", "" ], [ "Zhang", "Yue", "" ], [ "Zhou", "Guodong", "" ] ]
Extracting sentiment elements using pre-trained generative models has recently led to large improvements in aspect-based sentiment analysis benchmarks. However, these models always need large-scale computing resources, and they also ignore explicit modeling of structure between sentiment elements. To address these chal...
1911.09325
Yafeng Liu
Liu Yafeng, Chen Tian, Liu Zhongyu, Zhang Lei, Hu Yanjun and Ding Enjie
Simultaneous Implementation Features Extraction and Recognition Using C3D Network for WiFi-based Human Activity Recognition
11 pages, 8 figures, 5 tables
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Human actions recognition has attracted more and more people's attention. Many technology have been developed to express human action's features, such as image, skeleton-based, and channel state information(CSI). Among them, on account of CSI's easy to be equipped and undemanding for light, and it has gained more and...
[ { "created": "Thu, 21 Nov 2019 07:45:46 GMT", "version": "v1" } ]
2019-11-22
[ [ "Yafeng", "Liu", "" ], [ "Tian", "Chen", "" ], [ "Zhongyu", "Liu", "" ], [ "Lei", "Zhang", "" ], [ "Yanjun", "Hu", "" ], [ "Enjie", "Ding", "" ] ]
Human actions recognition has attracted more and more people's attention. Many technology have been developed to express human action's features, such as image, skeleton-based, and channel state information(CSI). Among them, on account of CSI's easy to be equipped and undemanding for light, and it has gained more and m...
1607.00595
Datong Zhou
Datong Zhou, Maximilian Balandat, Claire Tomlin
Residential Demand Response Targeting Using Machine Learning with Observational Data
8 pages
null
null
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The large scale deployment of Advanced Metering Infrastructure among residential energy customers has served as a boon for energy systems research relying on granular consumption data. Residential Demand Response aims to utilize the flexibility of consumers to reduce their energy usage during times when the grid is s...
[ { "created": "Sun, 3 Jul 2016 05:32:50 GMT", "version": "v1" } ]
2016-07-05
[ [ "Zhou", "Datong", "" ], [ "Balandat", "Maximilian", "" ], [ "Tomlin", "Claire", "" ] ]
The large scale deployment of Advanced Metering Infrastructure among residential energy customers has served as a boon for energy systems research relying on granular consumption data. Residential Demand Response aims to utilize the flexibility of consumers to reduce their energy usage during times when the grid is str...
2404.00357
Tao Li
Tao Li, Qinghua Tao, Weihao Yan, Zehao Lei, Yingwen Wu, Kun Fang, Mingzhen He, Xiaolin Huang
Revisiting Random Weight Perturbation for Efficiently Improving Generalization
Accepted to TMLR 2024
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Improving the generalization ability of modern deep neural networks (DNNs) is a fundamental challenge in machine learning. Two branches of methods have been proposed to seek flat minima and improve generalization: one led by sharpness-aware minimization (SAM) minimizes the worst-case neighborhood loss through adversa...
[ { "created": "Sat, 30 Mar 2024 13:18:27 GMT", "version": "v1" } ]
2024-04-02
[ [ "Li", "Tao", "" ], [ "Tao", "Qinghua", "" ], [ "Yan", "Weihao", "" ], [ "Lei", "Zehao", "" ], [ "Wu", "Yingwen", "" ], [ "Fang", "Kun", "" ], [ "He", "Mingzhen", "" ], [ "Huang", "Xiaolin", ...
Improving the generalization ability of modern deep neural networks (DNNs) is a fundamental challenge in machine learning. Two branches of methods have been proposed to seek flat minima and improve generalization: one led by sharpness-aware minimization (SAM) minimizes the worst-case neighborhood loss through adversari...
2312.10714
Siqi Liu
Siqi Liu, Yong-Lu Li, Zhou Fang, Xinpeng Liu, Yang You, Cewu Lu
Primitive-based 3D Human-Object Interaction Modelling and Programming
AAAI2024
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-nd/4.0/
Embedding Human and Articulated Object Interaction (HAOI) in 3D is an important direction for a deeper human activity understanding. Different from previous works that use parametric and CAD models to represent humans and objects, in this work, we propose a novel 3D geometric primitive-based language to encode both h...
[ { "created": "Sun, 17 Dec 2023 13:16:49 GMT", "version": "v1" } ]
2023-12-19
[ [ "Liu", "Siqi", "" ], [ "Li", "Yong-Lu", "" ], [ "Fang", "Zhou", "" ], [ "Liu", "Xinpeng", "" ], [ "You", "Yang", "" ], [ "Lu", "Cewu", "" ] ]
Embedding Human and Articulated Object Interaction (HAOI) in 3D is an important direction for a deeper human activity understanding. Different from previous works that use parametric and CAD models to represent humans and objects, in this work, we propose a novel 3D geometric primitive-based language to encode both hum...
2206.04935
Max M\"uller-Eberstein
Max M\"uller-Eberstein, Rob van der Goot and Barbara Plank
Sort by Structure: Language Model Ranking as Dependency Probing
Accepted at NAACL 2022 (Main Conference)
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Making an informed choice of pre-trained language model (LM) is critical for performance, yet environmentally costly, and as such widely underexplored. The field of Computer Vision has begun to tackle encoder ranking, with promising forays into Natural Language Processing, however they lack coverage of linguistic tas...
[ { "created": "Fri, 10 Jun 2022 08:10:29 GMT", "version": "v1" } ]
2022-06-13
[ [ "Müller-Eberstein", "Max", "" ], [ "van der Goot", "Rob", "" ], [ "Plank", "Barbara", "" ] ]
Making an informed choice of pre-trained language model (LM) is critical for performance, yet environmentally costly, and as such widely underexplored. The field of Computer Vision has begun to tackle encoder ranking, with promising forays into Natural Language Processing, however they lack coverage of linguistic tasks...
2403.18555
Philip Kenneweg
Philip Kenneweg, Sarah Schr\"oder, Alexander Schulz, Barbara Hammer
Debiasing Sentence Embedders through Contrastive Word Pairs
null
null
10.5220/0011615300003411
null
cs.CL
http://creativecommons.org/publicdomain/zero/1.0/
Over the last years, various sentence embedders have been an integral part in the success of current machine learning approaches to Natural Language Processing (NLP). Unfortunately, multiple sources have shown that the bias, inherent in the datasets upon which these embedding methods are trained, is learned by them. ...
[ { "created": "Wed, 27 Mar 2024 13:34:59 GMT", "version": "v1" } ]
2024-03-28
[ [ "Kenneweg", "Philip", "" ], [ "Schröder", "Sarah", "" ], [ "Schulz", "Alexander", "" ], [ "Hammer", "Barbara", "" ] ]
Over the last years, various sentence embedders have been an integral part in the success of current machine learning approaches to Natural Language Processing (NLP). Unfortunately, multiple sources have shown that the bias, inherent in the datasets upon which these embedding methods are trained, is learned by them. A ...
2309.02011
Pascal Mattia Esser
Pascal Esser, Satyaki Mukherjee, Debarghya Ghoshdastidar
Representation Learning Dynamics of Self-Supervised Models
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Self-Supervised Learning (SSL) is an important paradigm for learning representations from unlabelled data, and SSL with neural networks has been highly successful in practice. However current theoretical analysis of SSL is mostly restricted to generalisation error bounds. In contrast, learning dynamics often provide ...
[ { "created": "Tue, 5 Sep 2023 07:48:45 GMT", "version": "v1" } ]
2023-09-06
[ [ "Esser", "Pascal", "" ], [ "Mukherjee", "Satyaki", "" ], [ "Ghoshdastidar", "Debarghya", "" ] ]
Self-Supervised Learning (SSL) is an important paradigm for learning representations from unlabelled data, and SSL with neural networks has been highly successful in practice. However current theoretical analysis of SSL is mostly restricted to generalisation error bounds. In contrast, learning dynamics often provide a ...
2408.07966
Shunxin Guo
Shunxin Guo, Hongsong Wang, Shuxia Lin, Zhiqiang Kou, Xin Geng
Addressing Skewed Heterogeneity via Federated Prototype Rectification with Personalization
null
null
null
null
cs.LG cs.DC
http://creativecommons.org/licenses/by/4.0/
Federated learning is an efficient framework designed to facilitate collaborative model training across multiple distributed devices while preserving user data privacy. A significant challenge of federated learning is data-level heterogeneity, i.e., skewed or long-tailed distribution of private data. Although various...
[ { "created": "Thu, 15 Aug 2024 06:26:46 GMT", "version": "v1" } ]
2024-08-16
[ [ "Guo", "Shunxin", "" ], [ "Wang", "Hongsong", "" ], [ "Lin", "Shuxia", "" ], [ "Kou", "Zhiqiang", "" ], [ "Geng", "Xin", "" ] ]
Federated learning is an efficient framework designed to facilitate collaborative model training across multiple distributed devices while preserving user data privacy. A significant challenge of federated learning is data-level heterogeneity, i.e., skewed or long-tailed distribution of private data. Although various m...
2309.12708
Yuxiang Yan
Yuxiang Yan, Boda Liu, Jianfei Ai, Qinbu Li, Ru Wan, Jian Pu
PointSSC: A Cooperative Vehicle-Infrastructure Point Cloud Benchmark for Semantic Scene Completion
ICRA2024, oral & poster
null
null
null
cs.CV cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Semantic Scene Completion (SSC) aims to jointly generate space occupancies and semantic labels for complex 3D scenes. Most existing SSC models focus on volumetric representations, which are memory-inefficient for large outdoor spaces. Point clouds provide a lightweight alternative but existing benchmarks lack outdoor...
[ { "created": "Fri, 22 Sep 2023 08:39:16 GMT", "version": "v1" }, { "created": "Thu, 7 Mar 2024 02:50:04 GMT", "version": "v2" } ]
2024-03-08
[ [ "Yan", "Yuxiang", "" ], [ "Liu", "Boda", "" ], [ "Ai", "Jianfei", "" ], [ "Li", "Qinbu", "" ], [ "Wan", "Ru", "" ], [ "Pu", "Jian", "" ] ]
Semantic Scene Completion (SSC) aims to jointly generate space occupancies and semantic labels for complex 3D scenes. Most existing SSC models focus on volumetric representations, which are memory-inefficient for large outdoor spaces. Point clouds provide a lightweight alternative but existing benchmarks lack outdoor p...
1508.05189
Hartmut Klauck
Ralph C. Bottesch, Dmitry Gavinsky, Hartmut Klauck
Correlation in Hard Distributions in Communication Complexity
null
null
null
null
cs.CC quant-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the effect that the amount of correlation in a bipartite distribution has on the communication complexity of a problem under that distribution. We introduce a new family of complexity measures that interpolates between the two previously studied extreme cases: the (standard) randomised communication complexi...
[ { "created": "Fri, 21 Aug 2015 07:05:39 GMT", "version": "v1" } ]
2015-08-25
[ [ "Bottesch", "Ralph C.", "" ], [ "Gavinsky", "Dmitry", "" ], [ "Klauck", "Hartmut", "" ] ]
We study the effect that the amount of correlation in a bipartite distribution has on the communication complexity of a problem under that distribution. We introduce a new family of complexity measures that interpolates between the two previously studied extreme cases: the (standard) randomised communication complexity...
1802.06157
Matthieu Lequesne
Matthieu Lequesne, Jean-Pierre Tillich
Attack on the Edon-K Key Encapsulation Mechanism
Submitted to ISIT 2018
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The key encapsulation mechanism Edon-K was proposed in response to the call for post-quantum cryptography standardization issued by the National Institute of Standards and Technologies (NIST). This scheme is inspired by the McEliece scheme but uses another family of codes defined over $\mathbb{F}_{2^{128}}$ instead o...
[ { "created": "Fri, 16 Feb 2018 23:06:50 GMT", "version": "v1" } ]
2018-02-20
[ [ "Lequesne", "Matthieu", "" ], [ "Tillich", "Jean-Pierre", "" ] ]
The key encapsulation mechanism Edon-K was proposed in response to the call for post-quantum cryptography standardization issued by the National Institute of Standards and Technologies (NIST). This scheme is inspired by the McEliece scheme but uses another family of codes defined over $\mathbb{F}_{2^{128}}$ instead of ...
cs/0412095
Mirela Damian
Mirela Damian and Joseph O'Rourke
Partitioning Regular Polygons into Circular Pieces II:Nonconvex Partitions
13 pages, 11 figures
null
null
null
cs.CG cs.DM
null
We explore optimal circular nonconvex partitions of regular k-gons. The circularity of a polygon is measured by its aspect ratio: the ratio of the radii of the smallest circumscribing circle to the largest inscribed disk. An optimal circular partition minimizes the maximum ratio over all pieces in the partition. We s...
[ { "created": "Tue, 21 Dec 2004 05:41:11 GMT", "version": "v1" } ]
2007-05-23
[ [ "Damian", "Mirela", "" ], [ "O'Rourke", "Joseph", "" ] ]
We explore optimal circular nonconvex partitions of regular k-gons. The circularity of a polygon is measured by its aspect ratio: the ratio of the radii of the smallest circumscribing circle to the largest inscribed disk. An optimal circular partition minimizes the maximum ratio over all pieces in the partition. We sho...
2109.10750
Hongbo Zhang
Hongbo Zhang, Yunshuang Li, Yipin Guo, Xinyi Chen, Qinyuan Ren
Control of Pneumatic Artificial Muscles with SNN-based Cerebellar-like Model
null
null
null
null
cs.RO
http://creativecommons.org/licenses/by/4.0/
Soft robotics technologies have gained growing interest in recent years, which allows various applications from manufacturing to human-robot interaction. Pneumatic artificial muscle (PAM), a typical soft actuator, has been widely applied to soft robots. The compliance and resilience of soft actuators allow soft robot...
[ { "created": "Wed, 22 Sep 2021 14:11:05 GMT", "version": "v1" } ]
2021-09-23
[ [ "Zhang", "Hongbo", "" ], [ "Li", "Yunshuang", "" ], [ "Guo", "Yipin", "" ], [ "Chen", "Xinyi", "" ], [ "Ren", "Qinyuan", "" ] ]
Soft robotics technologies have gained growing interest in recent years, which allows various applications from manufacturing to human-robot interaction. Pneumatic artificial muscle (PAM), a typical soft actuator, has been widely applied to soft robots. The compliance and resilience of soft actuators allow soft robots ...
cs/0511016
Santo Fortunato Dr
Santo Fortunato, Marian Boguna, Alessandro Flammini, Filippo Menczer
How to make the top ten: Approximating PageRank from in-degree
8 pages, 7 figures, 2 tables
null
null
null
cs.IR physics.soc-ph
null
PageRank has become a key element in the success of search engines, allowing to rank the most important hits in the top screen of results. One key aspect that distinguishes PageRank from other prestige measures such as in-degree is its global nature. From the information provider perspective, this makes it difficult ...
[ { "created": "Thu, 3 Nov 2005 23:01:50 GMT", "version": "v1" } ]
2007-05-23
[ [ "Fortunato", "Santo", "" ], [ "Boguna", "Marian", "" ], [ "Flammini", "Alessandro", "" ], [ "Menczer", "Filippo", "" ] ]
PageRank has become a key element in the success of search engines, allowing to rank the most important hits in the top screen of results. One key aspect that distinguishes PageRank from other prestige measures such as in-degree is its global nature. From the information provider perspective, this makes it difficult or...
2105.03137
Karl-Ludwig Besser
Eduard Jorswieck, Andrew Lonnstrom, Karl-Ludwig Besser, Stefan Rothe, Juergen W. Czarske
Achievable Physical-Layer Secrecy in Multi-Mode Fiber Channels using Artificial Noise
5 pages, 2 figures
null
10.1109/ISWCS49558.2021.9562176
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Reliable and secure communication is an important aspect of modern fiber optic communication. In this work we consider a multi-mode fiber (MMF) channel wiretapped by an eavesdropper. We assume the transmitter knows the legitimate channel, but statistical knowledge of the eavesdropper's channel only. We propose a tran...
[ { "created": "Fri, 7 May 2021 09:29:25 GMT", "version": "v1" } ]
2021-10-22
[ [ "Jorswieck", "Eduard", "" ], [ "Lonnstrom", "Andrew", "" ], [ "Besser", "Karl-Ludwig", "" ], [ "Rothe", "Stefan", "" ], [ "Czarske", "Juergen W.", "" ] ]
Reliable and secure communication is an important aspect of modern fiber optic communication. In this work we consider a multi-mode fiber (MMF) channel wiretapped by an eavesdropper. We assume the transmitter knows the legitimate channel, but statistical knowledge of the eavesdropper's channel only. We propose a transm...
1602.05568
Mohammad Taha Bahadori
Edward Choi, Mohammad Taha Bahadori, Elizabeth Searles, Catherine Coffey, Jimeng Sun
Multi-layer Representation Learning for Medical Concepts
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Learning efficient representations for concepts has been proven to be an important basis for many applications such as machine translation or document classification. Proper representations of medical concepts such as diagnosis, medication, procedure codes and visits will have broad applications in healthcare analyti...
[ { "created": "Wed, 17 Feb 2016 20:55:40 GMT", "version": "v1" } ]
2016-02-18
[ [ "Choi", "Edward", "" ], [ "Bahadori", "Mohammad Taha", "" ], [ "Searles", "Elizabeth", "" ], [ "Coffey", "Catherine", "" ], [ "Sun", "Jimeng", "" ] ]
Learning efficient representations for concepts has been proven to be an important basis for many applications such as machine translation or document classification. Proper representations of medical concepts such as diagnosis, medication, procedure codes and visits will have broad applications in healthcare analytics...
2309.08776
Josselin Somerville Roberts
Josselin Somerville Roberts, Julia Di
Projected Task-Specific Layers for Multi-Task Reinforcement Learning
null
ICRA 2024
null
null
cs.LG cs.AI cs.RO
http://creativecommons.org/licenses/by/4.0/
Multi-task reinforcement learning could enable robots to scale across a wide variety of manipulation tasks in homes and workplaces. However, generalizing from one task to another and mitigating negative task interference still remains a challenge. Addressing this challenge by successfully sharing information across t...
[ { "created": "Fri, 15 Sep 2023 21:42:06 GMT", "version": "v1" }, { "created": "Wed, 6 Mar 2024 18:51:45 GMT", "version": "v2" } ]
2024-03-07
[ [ "Roberts", "Josselin Somerville", "" ], [ "Di", "Julia", "" ] ]
Multi-task reinforcement learning could enable robots to scale across a wide variety of manipulation tasks in homes and workplaces. However, generalizing from one task to another and mitigating negative task interference still remains a challenge. Addressing this challenge by successfully sharing information across tas...
2308.06672
Yong Wang
Yong Wang and Yanzhong Yao and Jiawei Guo and Zhiming Gao
A practical PINN framework for multi-scale problems with multi-magnitude loss terms
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
For multi-scale problems, the conventional physics-informed neural networks (PINNs) face some challenges in obtaining available predictions. In this paper, based on PINNs, we propose a practical deep learning framework for multi-scale problems by reconstructing the loss function and associating it with special neural...
[ { "created": "Sun, 13 Aug 2023 03:26:01 GMT", "version": "v1" }, { "created": "Sun, 29 Oct 2023 16:22:20 GMT", "version": "v2" } ]
2023-10-31
[ [ "Wang", "Yong", "" ], [ "Yao", "Yanzhong", "" ], [ "Guo", "Jiawei", "" ], [ "Gao", "Zhiming", "" ] ]
For multi-scale problems, the conventional physics-informed neural networks (PINNs) face some challenges in obtaining available predictions. In this paper, based on PINNs, we propose a practical deep learning framework for multi-scale problems by reconstructing the loss function and associating it with special neural n...
1106.3858
Yi Gai
Yi Gai, Hua Liu, and Bhaskar Krishnamachari
A Packet Dropping Mechanism for Efficient Operation of M/M/1 Queues with Selfish Users
This work is an extended version of the conference paper: Y. Gai, H. Liu and B. Krishnamachari, "A packet dropping-based incentive mechanism for M/M/1 queues with selfish users", the 30th IEEE International Conference on Computer Communications (IEEE INFOCOM 2011), China, April, 2011
null
10.1016/j.comnet.2015.12.009
null
cs.GT cs.NI math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider a fundamental game theoretic problem concerning selfish users contributing packets to an M/M/1 queue. In this game, each user controls its own input rate so as to optimize a desired tradeoff between throughput and delay. We first show that the original game has an inefficient Nash Equilibrium (NE), with a...
[ { "created": "Mon, 20 Jun 2011 10:40:21 GMT", "version": "v1" } ]
2016-11-17
[ [ "Gai", "Yi", "" ], [ "Liu", "Hua", "" ], [ "Krishnamachari", "Bhaskar", "" ] ]
We consider a fundamental game theoretic problem concerning selfish users contributing packets to an M/M/1 queue. In this game, each user controls its own input rate so as to optimize a desired tradeoff between throughput and delay. We first show that the original game has an inefficient Nash Equilibrium (NE), with a P...
2008.10038
Pengfei Ge
Pengfei Ge, Chuan-Xian Ren, Jiashi Feng, Shuicheng Yan
Dual Adversarial Auto-Encoders for Clustering
null
null
10.1109/TNNLS.2019.2919948
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As a powerful approach for exploratory data analysis, unsupervised clustering is a fundamental task in computer vision and pattern recognition. Many clustering algorithms have been developed, but most of them perform unsatisfactorily on the data with complex structures. Recently, Adversarial Auto-Encoder (AAE) shows ...
[ { "created": "Sun, 23 Aug 2020 13:16:34 GMT", "version": "v1" } ]
2020-08-25
[ [ "Ge", "Pengfei", "" ], [ "Ren", "Chuan-Xian", "" ], [ "Feng", "Jiashi", "" ], [ "Yan", "Shuicheng", "" ] ]
As a powerful approach for exploratory data analysis, unsupervised clustering is a fundamental task in computer vision and pattern recognition. Many clustering algorithms have been developed, but most of them perform unsatisfactorily on the data with complex structures. Recently, Adversarial Auto-Encoder (AAE) shows ef...
1607.03830
Jian Du
Jian Du and Yik-Chung Wu
Distributed Clock Skew and Offset Estimation in Wireless Sensor Networks: Asynchronous Algorithm and Convergence Analysis
null
null
null
null
cs.DC cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose a fully distributed algorithm for joint clock skew and offset estimation in wireless sensor networks based on belief propagation. In the proposed algorithm, each node can estimate its clock skew and offset in a completely distributed and asynchronous way: some nodes may update their estimate...
[ { "created": "Sun, 10 Jul 2016 15:38:22 GMT", "version": "v1" } ]
2016-07-14
[ [ "Du", "Jian", "" ], [ "Wu", "Yik-Chung", "" ] ]
In this paper, we propose a fully distributed algorithm for joint clock skew and offset estimation in wireless sensor networks based on belief propagation. In the proposed algorithm, each node can estimate its clock skew and offset in a completely distributed and asynchronous way: some nodes may update their estimates ...
1912.01438
Zirui Wang
Zirui Wang, Shuda Li, Henry Howard-Jenkins, Victor Adrian Prisacariu, Min Chen
FlowNet3D++: Geometric Losses For Deep Scene Flow Estimation
WACV 2020
null
null
null
cs.CV cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present FlowNet3D++, a deep scene flow estimation network. Inspired by classical methods, FlowNet3D++ incorporates geometric constraints in the form of point-to-plane distance and angular alignment between individual vectors in the flow field, into FlowNet3D. We demonstrate that the addition of these geometric los...
[ { "created": "Tue, 3 Dec 2019 14:53:56 GMT", "version": "v1" }, { "created": "Tue, 10 Dec 2019 11:16:06 GMT", "version": "v2" }, { "created": "Mon, 26 Apr 2021 14:00:11 GMT", "version": "v3" } ]
2021-04-27
[ [ "Wang", "Zirui", "" ], [ "Li", "Shuda", "" ], [ "Howard-Jenkins", "Henry", "" ], [ "Prisacariu", "Victor Adrian", "" ], [ "Chen", "Min", "" ] ]
We present FlowNet3D++, a deep scene flow estimation network. Inspired by classical methods, FlowNet3D++ incorporates geometric constraints in the form of point-to-plane distance and angular alignment between individual vectors in the flow field, into FlowNet3D. We demonstrate that the addition of these geometric loss ...
1901.08479
Jaehoon Cha
Jaehoon Cha, Kyeong Soo Kim, Sanghyuk Lee
On the Transformation of Latent Space in Autoencoders
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Noting the importance of the latent variables in inference and learning, we propose a novel framework for autoencoders based on the homeomorphic transformation of latent variables, which could reduce the distance between vectors in the transformed space, while preserving the topological properties of the original spa...
[ { "created": "Thu, 24 Jan 2019 16:13:24 GMT", "version": "v1" }, { "created": "Mon, 3 Jun 2019 14:35:57 GMT", "version": "v2" } ]
2019-06-04
[ [ "Cha", "Jaehoon", "" ], [ "Kim", "Kyeong Soo", "" ], [ "Lee", "Sanghyuk", "" ] ]
Noting the importance of the latent variables in inference and learning, we propose a novel framework for autoencoders based on the homeomorphic transformation of latent variables, which could reduce the distance between vectors in the transformed space, while preserving the topological properties of the original space...
1708.08552
Xuanqing Liu
Xuanqing Liu, Cho-Jui Hsieh, Jason D. Lee and Yuekai Sun
An inexact subsampled proximal Newton-type method for large-scale machine learning
null
null
null
null
cs.LG cs.NA stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a fast proximal Newton-type algorithm for minimizing regularized finite sums that returns an $\epsilon$-suboptimal point in $\tilde{\mathcal{O}}(d(n + \sqrt{\kappa d})\log(\frac{1}{\epsilon}))$ FLOPS, where $n$ is number of samples, $d$ is feature dimension, and $\kappa$ is the condition number. As long as...
[ { "created": "Mon, 28 Aug 2017 22:47:48 GMT", "version": "v1" } ]
2017-08-30
[ [ "Liu", "Xuanqing", "" ], [ "Hsieh", "Cho-Jui", "" ], [ "Lee", "Jason D.", "" ], [ "Sun", "Yuekai", "" ] ]
We propose a fast proximal Newton-type algorithm for minimizing regularized finite sums that returns an $\epsilon$-suboptimal point in $\tilde{\mathcal{O}}(d(n + \sqrt{\kappa d})\log(\frac{1}{\epsilon}))$ FLOPS, where $n$ is number of samples, $d$ is feature dimension, and $\kappa$ is the condition number. As long as $...
2405.00028
Pavan L. Veluvali
Pavan L. Veluvali, Jan Heiland, Peter Benner
MaRDIFlow: A CSE workflow framework for abstracting meta-data from FAIR computational experiments
13 pages, 7 figures
null
null
null
cs.DC
http://creativecommons.org/licenses/by/4.0/
Numerical algorithms and computational tools are instrumental in navigating and addressing complex simulation and data processing tasks. The exponential growth of metadata and parameter-driven simulations has led to an increasing demand for automated workflows that can replicate computational experiments across platf...
[ { "created": "Wed, 28 Feb 2024 16:13:17 GMT", "version": "v1" } ]
2024-05-02
[ [ "Veluvali", "Pavan L.", "" ], [ "Heiland", "Jan", "" ], [ "Benner", "Peter", "" ] ]
Numerical algorithms and computational tools are instrumental in navigating and addressing complex simulation and data processing tasks. The exponential growth of metadata and parameter-driven simulations has led to an increasing demand for automated workflows that can replicate computational experiments across platfor...
2103.13814
Ni Xiao
Ni Xiao and Lei Zhang
Dynamic Weighted Learning for Unsupervised Domain Adaptation
This paper has been accepted by CVPR2021
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Unsupervised domain adaptation (UDA) aims to improve the classification performance on an unlabeled target domain by leveraging information from a fully labeled source domain. Recent approaches explore domain-invariant and class-discriminant representations to tackle this task. These methods, however, ignore the inte...
[ { "created": "Mon, 22 Mar 2021 16:11:04 GMT", "version": "v1" } ]
2021-03-26
[ [ "Xiao", "Ni", "" ], [ "Zhang", "Lei", "" ] ]
Unsupervised domain adaptation (UDA) aims to improve the classification performance on an unlabeled target domain by leveraging information from a fully labeled source domain. Recent approaches explore domain-invariant and class-discriminant representations to tackle this task. These methods, however, ignore the intera...
1603.01954
Nan Wu
Nan Wu, Zheyu Liu, Fei Qiao, Xiaojun Guo, Qi Wei, Yuan Xie, Huazhong Yang
A Real-Time and Energy-Efficient Implementation of Difference-of-Gaussian with Flexible Thin-Film Transistors
null
null
null
null
cs.ET
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With many advantageous features, softness and better biocompatibility, flexible electronic devices have developed rapidly and increasingly attracted attention. Many currently applications with flexible devices are sensors and drivers, while there is nearly no utilization aiming at complex computation since flexible d...
[ { "created": "Mon, 7 Mar 2016 06:34:19 GMT", "version": "v1" } ]
2016-03-08
[ [ "Wu", "Nan", "" ], [ "Liu", "Zheyu", "" ], [ "Qiao", "Fei", "" ], [ "Guo", "Xiaojun", "" ], [ "Wei", "Qi", "" ], [ "Xie", "Yuan", "" ], [ "Yang", "Huazhong", "" ] ]
With many advantageous features, softness and better biocompatibility, flexible electronic devices have developed rapidly and increasingly attracted attention. Many currently applications with flexible devices are sensors and drivers, while there is nearly no utilization aiming at complex computation since flexible dev...
0804.4753
Icius Committee
C. E. Huang, and J. S. Chen
Wavelet Based Iterative Learning Control with Fuzzy PD Feedback for Position Tracking of A Pneumatic Servo System
Uploaded by ICIUS2007 Conference Organizer on behalf of the author(s). 8 pages, 9 figures, 1 tables
Proceedings of the International Conference on Intelligent Unmanned System (ICIUS 2007), Bali, Indonesia, October 24-25, 2007, Paper No. ICIUS2007-A001
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, a wavelet-based iterative learning control (WILC) scheme with Fuzzy PD feedback is presented for a pneumatic control system with nonsmooth nonlinearities and uncertain parameters. The wavelet transform is employed to extract the learnable dynamics from measured output signal before it can be used to up...
[ { "created": "Wed, 30 Apr 2008 08:22:19 GMT", "version": "v1" } ]
2008-05-01
[ [ "Huang", "C. E.", "" ], [ "Chen", "J. S.", "" ] ]
In this paper, a wavelet-based iterative learning control (WILC) scheme with Fuzzy PD feedback is presented for a pneumatic control system with nonsmooth nonlinearities and uncertain parameters. The wavelet transform is employed to extract the learnable dynamics from measured output signal before it can be used to upda...
1209.2079
Ilgin \c{S}afak
Ilg{\i}n \c{S}afak, Emre Akta\c{s} and Ali \"Ozg\"ur Y{\i}lmaz
Error Rate Analysis of GF(q) Network Coded Detect-and-Forward Wireless Relay Networks Using Equivalent Relay Channel Models
28 pages, 10 figures. This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible
null
10.1109/TWC.2013.051613.121309
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper investigates simple means of analyzing the error rate performance of a general q-ary Galois Field network coded detect-and-forward cooperative relay network with known relay error statistics at the destination. Equivalent relay channels are used in obtaining an approximate error rate of the relay network, ...
[ { "created": "Mon, 10 Sep 2012 18:04:45 GMT", "version": "v1" }, { "created": "Tue, 5 Feb 2013 21:52:38 GMT", "version": "v2" } ]
2013-11-25
[ [ "Şafak", "Ilgın", "" ], [ "Aktaş", "Emre", "" ], [ "Yılmaz", "Ali Özgür", "" ] ]
This paper investigates simple means of analyzing the error rate performance of a general q-ary Galois Field network coded detect-and-forward cooperative relay network with known relay error statistics at the destination. Equivalent relay channels are used in obtaining an approximate error rate of the relay network, fr...
2301.10966
Xuan Quang Ngo
Thai Nguyen Chau, Xuan Quang Ngo, Van Tu Duong, Trong Trung Nguyen, Huy Hung Nguyen, Tan Tien Nguyen
Design of Mobile Manipulator for Fire Extinguisher Testing. Part II: Design and Simulation
10 pages, 15 figures, the 7th International Conference on Advanced Engineering, Theory and Applications
null
null
null
cs.RO cs.SY eess.SY
http://creativecommons.org/licenses/by/4.0/
All flames are extinguished as early as possible, or fire services have to deal with major conflagrations. This leads to the fact that the quality of fire extinguishers has become a very sensitive and important issue in firefighting. Inspired by the development of automatic fire fighting systems, this paper presents ...
[ { "created": "Thu, 26 Jan 2023 07:19:20 GMT", "version": "v1" } ]
2023-01-31
[ [ "Chau", "Thai Nguyen", "" ], [ "Ngo", "Xuan Quang", "" ], [ "Duong", "Van Tu", "" ], [ "Nguyen", "Trong Trung", "" ], [ "Nguyen", "Huy Hung", "" ], [ "Nguyen", "Tan Tien", "" ] ]
All flames are extinguished as early as possible, or fire services have to deal with major conflagrations. This leads to the fact that the quality of fire extinguishers has become a very sensitive and important issue in firefighting. Inspired by the development of automatic fire fighting systems, this paper presents a ...
0904.1645
Cedric Chauve
Cedric Chauve, A\"ida Ouangraoua (LaBRI)
A 3-approximation algorithm for computing a parsimonious first speciation in the gene duplication model
null
null
null
null
cs.DM cs.DS q-bio.QM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the following problem: from a given set of gene families trees on a set of genomes, find a first speciation, that splits these genomes into two subsets, that minimizes the number of gene duplications that happened before this speciation. We call this problem the Minimum Duplication Bipartition Problem. Us...
[ { "created": "Fri, 10 Apr 2009 06:28:07 GMT", "version": "v1" }, { "created": "Wed, 15 Apr 2009 06:29:22 GMT", "version": "v2" } ]
2009-04-15
[ [ "Chauve", "Cedric", "", "LaBRI" ], [ "Ouangraoua", "Aïda", "", "LaBRI" ] ]
We consider the following problem: from a given set of gene families trees on a set of genomes, find a first speciation, that splits these genomes into two subsets, that minimizes the number of gene duplications that happened before this speciation. We call this problem the Minimum Duplication Bipartition Problem. Usin...
1702.08726
Lenz Belzner
Lenz Belzner, Thomas Gabor
Stacked Thompson Bandits
Accepted at SEsCPS @ ICSE 2017
null
null
null
cs.SE cs.AI cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce Stacked Thompson Bandits (STB) for efficiently generating plans that are likely to satisfy a given bounded temporal logic requirement. STB uses a simulation for evaluation of plans, and takes a Bayesian approach to using the resulting information to guide its search. In particular, we show that stacking ...
[ { "created": "Tue, 28 Feb 2017 10:19:30 GMT", "version": "v1" } ]
2017-03-01
[ [ "Belzner", "Lenz", "" ], [ "Gabor", "Thomas", "" ] ]
We introduce Stacked Thompson Bandits (STB) for efficiently generating plans that are likely to satisfy a given bounded temporal logic requirement. STB uses a simulation for evaluation of plans, and takes a Bayesian approach to using the resulting information to guide its search. In particular, we show that stacking mu...
2104.14544
Deqing Sun
Deqing Sun, Daniel Vlasic, Charles Herrmann, Varun Jampani, Michael Krainin, Huiwen Chang, Ramin Zabih, William T. Freeman, Ce Liu
AutoFlow: Learning a Better Training Set for Optical Flow
CVPR 2021
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Synthetic datasets play a critical role in pre-training CNN models for optical flow, but they are painstaking to generate and hard to adapt to new applications. To automate the process, we present AutoFlow, a simple and effective method to render training data for optical flow that optimizes the performance of a mode...
[ { "created": "Thu, 29 Apr 2021 17:55:23 GMT", "version": "v1" } ]
2021-04-30
[ [ "Sun", "Deqing", "" ], [ "Vlasic", "Daniel", "" ], [ "Herrmann", "Charles", "" ], [ "Jampani", "Varun", "" ], [ "Krainin", "Michael", "" ], [ "Chang", "Huiwen", "" ], [ "Zabih", "Ramin", "" ], [ "Fr...
Synthetic datasets play a critical role in pre-training CNN models for optical flow, but they are painstaking to generate and hard to adapt to new applications. To automate the process, we present AutoFlow, a simple and effective method to render training data for optical flow that optimizes the performance of a model ...
2003.13141
Jie Chen
Jie Chen, Zhiheng Li, Jiebo Luo, and Chenliang Xu
Learning a Weakly-Supervised Video Actor-Action Segmentation Model with a Wise Selection
11 pages, 8 figures, cvpr-2020 supplementary video: https://youtu.be/CX1hEOV9tlo
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We address weakly-supervised video actor-action segmentation (VAAS), which extends general video object segmentation (VOS) to additionally consider action labels of the actors. The most successful methods on VOS synthesize a pool of pseudo-annotations (PAs) and then refine them iteratively. However, they face challen...
[ { "created": "Sun, 29 Mar 2020 21:15:18 GMT", "version": "v1" } ]
2020-03-31
[ [ "Chen", "Jie", "" ], [ "Li", "Zhiheng", "" ], [ "Luo", "Jiebo", "" ], [ "Xu", "Chenliang", "" ] ]
We address weakly-supervised video actor-action segmentation (VAAS), which extends general video object segmentation (VOS) to additionally consider action labels of the actors. The most successful methods on VOS synthesize a pool of pseudo-annotations (PAs) and then refine them iteratively. However, they face challenge...
2210.02719
Chenxi Sun
Chenxi Sun and Hongyan Li and Moxian Song and Derun Cai and Baofeng Zhang and Shenda Hong
Continuous Diagnosis and Prognosis by Controlling the Update Process of Deep Neural Networks
41 pages, 15 figures
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Continuous diagnosis and prognosis are essential for intensive care patients. It can provide more opportunities for timely treatment and rational resource allocation, especially for sepsis, a main cause of death in ICU, and COVID-19, a new worldwide epidemic. Although deep learning methods have shown their great supe...
[ { "created": "Thu, 6 Oct 2022 07:06:45 GMT", "version": "v1" } ]
2022-10-07
[ [ "Sun", "Chenxi", "" ], [ "Li", "Hongyan", "" ], [ "Song", "Moxian", "" ], [ "Cai", "Derun", "" ], [ "Zhang", "Baofeng", "" ], [ "Hong", "Shenda", "" ] ]
Continuous diagnosis and prognosis are essential for intensive care patients. It can provide more opportunities for timely treatment and rational resource allocation, especially for sepsis, a main cause of death in ICU, and COVID-19, a new worldwide epidemic. Although deep learning methods have shown their great superi...
2405.04271
Arne Rubehn
Arne Rubehn, Jessica Nieder, Robert Forkel, Johann-Mattis List
Generating Feature Vectors from Phonetic Transcriptions in Cross-Linguistic Data Formats
To appear in the Proceedings of the 2024 Meeting of the Society for Computation in Linguistics (SCiL)
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
When comparing speech sounds across languages, scholars often make use of feature representations of individual sounds in order to determine fine-grained sound similarities. Although binary feature systems for large numbers of speech sounds have been proposed, large-scale computational applications often face the cha...
[ { "created": "Tue, 7 May 2024 12:40:59 GMT", "version": "v1" } ]
2024-05-08
[ [ "Rubehn", "Arne", "" ], [ "Nieder", "Jessica", "" ], [ "Forkel", "Robert", "" ], [ "List", "Johann-Mattis", "" ] ]
When comparing speech sounds across languages, scholars often make use of feature representations of individual sounds in order to determine fine-grained sound similarities. Although binary feature systems for large numbers of speech sounds have been proposed, large-scale computational applications often face the chall...
2310.12505
Boyi Deng
Boyi Deng, Wenjie Wang, Fuli Feng, Yang Deng, Qifan Wang, Xiangnan He
Attack Prompt Generation for Red Teaming and Defending Large Language Models
Accepted to EMNLP 2023 (Findings)
null
null
null
cs.CL cs.CR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large language models (LLMs) are susceptible to red teaming attacks, which can induce LLMs to generate harmful content. Previous research constructs attack prompts via manual or automatic methods, which have their own limitations on construction cost and quality. To address these issues, we propose an integrated appr...
[ { "created": "Thu, 19 Oct 2023 06:15:05 GMT", "version": "v1" } ]
2023-10-20
[ [ "Deng", "Boyi", "" ], [ "Wang", "Wenjie", "" ], [ "Feng", "Fuli", "" ], [ "Deng", "Yang", "" ], [ "Wang", "Qifan", "" ], [ "He", "Xiangnan", "" ] ]
Large language models (LLMs) are susceptible to red teaming attacks, which can induce LLMs to generate harmful content. Previous research constructs attack prompts via manual or automatic methods, which have their own limitations on construction cost and quality. To address these issues, we propose an integrated approa...
2210.10515
Pouria Mehrabi
Pouria Mehrabi, Hamid D. Taghirad
A Segment-Wise Gaussian Process-Based Ground Segmentation With Local Smoothness Estimation
null
null
null
null
cs.LG cs.SY eess.SY
http://creativecommons.org/licenses/by-nc-nd/4.0/
Both in terrestrial and extraterrestrial environments, the precise and informative model of the ground and the surface ahead is crucial for navigation and obstacle avoidance. The ground surface is not always flat and it may be sloped, bumpy and rough specially in off-road terrestrial scenes. In bumpy and rough scenes...
[ { "created": "Wed, 19 Oct 2022 12:42:21 GMT", "version": "v1" } ]
2022-10-20
[ [ "Mehrabi", "Pouria", "" ], [ "Taghirad", "Hamid D.", "" ] ]
Both in terrestrial and extraterrestrial environments, the precise and informative model of the ground and the surface ahead is crucial for navigation and obstacle avoidance. The ground surface is not always flat and it may be sloped, bumpy and rough specially in off-road terrestrial scenes. In bumpy and rough scenes t...
2405.02150
Manoel Horta Ribeiro
Giuseppe Russo Latona, Manoel Horta Ribeiro, Tim R. Davidson, Veniamin Veselovsky, Robert West
The AI Review Lottery: Widespread AI-Assisted Peer Reviews Boost Paper Scores and Acceptance Rates
Manoel Horta Ribeiro, Tim R. Davidson, and Veniamin Veselovsky contributed equally to this work
null
null
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Journals and conferences worry that peer reviews assisted by artificial intelligence (AI), in particular, large language models (LLMs), may negatively influence the validity and fairness of the peer-review system, a cornerstone of modern science. In this work, we address this concern with a quasi-experimental study o...
[ { "created": "Fri, 3 May 2024 14:56:43 GMT", "version": "v1" } ]
2024-05-06
[ [ "Latona", "Giuseppe Russo", "" ], [ "Ribeiro", "Manoel Horta", "" ], [ "Davidson", "Tim R.", "" ], [ "Veselovsky", "Veniamin", "" ], [ "West", "Robert", "" ] ]
Journals and conferences worry that peer reviews assisted by artificial intelligence (AI), in particular, large language models (LLMs), may negatively influence the validity and fairness of the peer-review system, a cornerstone of modern science. In this work, we address this concern with a quasi-experimental study of ...