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1902.07622
Bingsheng Chen
Bingsheng Chen, Zhengyu Lin, Tim S. Evans
Analysis of the Wikipedia Network of Mathematicians
(Updated two captions in the appendix)
null
null
null
cs.DL cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We look at the network of mathematicians defined by the hyperlinks between their biographies on Wikipedia. We show how to extract this information using three snapshots of the Wikipedia data, taken in 2013, 2017 and 2018. We illustrate how such Wikipedia data can be used by performing a centrality analysis. These mea...
[ { "created": "Wed, 20 Feb 2019 16:18:18 GMT", "version": "v1" }, { "created": "Thu, 21 Feb 2019 10:20:59 GMT", "version": "v2" } ]
2019-02-22
[ [ "Chen", "Bingsheng", "" ], [ "Lin", "Zhengyu", "" ], [ "Evans", "Tim S.", "" ] ]
We look at the network of mathematicians defined by the hyperlinks between their biographies on Wikipedia. We show how to extract this information using three snapshots of the Wikipedia data, taken in 2013, 2017 and 2018. We illustrate how such Wikipedia data can be used by performing a centrality analysis. These measu...
2205.12125
Dominik Kaaser
Petra Berenbrink and Max Hahn-Klimroth and Dominik Kaaser and Lena Krieg and Malin Rau
Inference of a Rumor's Source in the Independent Cascade Model
null
null
null
null
cs.SI cs.IT cs.LG math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the so-called Independent Cascade Model for rumor spreading or epidemic processes popularized by Kempe et al.\ [2003]. In this model, a small subset of nodes from a network are the source of a rumor. In discrete time steps, each informed node "infects" each of its uninformed neighbors with probability $p$...
[ { "created": "Tue, 24 May 2022 14:57:22 GMT", "version": "v1" } ]
2022-05-25
[ [ "Berenbrink", "Petra", "" ], [ "Hahn-Klimroth", "Max", "" ], [ "Kaaser", "Dominik", "" ], [ "Krieg", "Lena", "" ], [ "Rau", "Malin", "" ] ]
We consider the so-called Independent Cascade Model for rumor spreading or epidemic processes popularized by Kempe et al.\ [2003]. In this model, a small subset of nodes from a network are the source of a rumor. In discrete time steps, each informed node "infects" each of its uninformed neighbors with probability $p$. ...
2302.02949
Morten Elvebakken
Morten From Elvebakken, Alexandros Iosifidis, Lukas Esterle
Adaptive Parameterization of Deep Learning Models for Federated Learning
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Federated Learning offers a way to train deep neural networks in a distributed fashion. While this addresses limitations related to distributed data, it incurs a communication overhead as the model parameters or gradients need to be exchanged regularly during training. This can be an issue with large scale distributi...
[ { "created": "Mon, 6 Feb 2023 17:30:33 GMT", "version": "v1" }, { "created": "Thu, 25 May 2023 04:55:39 GMT", "version": "v2" } ]
2023-05-26
[ [ "Elvebakken", "Morten From", "" ], [ "Iosifidis", "Alexandros", "" ], [ "Esterle", "Lukas", "" ] ]
Federated Learning offers a way to train deep neural networks in a distributed fashion. While this addresses limitations related to distributed data, it incurs a communication overhead as the model parameters or gradients need to be exchanged regularly during training. This can be an issue with large scale distribution...
2009.02208
Hadi Mardani Kamali
Kimia Zamiri Azar, Hadi Mardani Kamali, Houman Homayoun, Avesta Sasan
NNgSAT: Neural Network guided SAT Attack on Logic Locked Complex Structures
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The globalization of the IC supply chain has raised many security threats, especially when untrusted parties are involved. This has created a demand for a dependable logic obfuscation solution to combat these threats. Amongst a wide range of threats and countermeasures on logic obfuscation in the 2010s decade, the Bo...
[ { "created": "Fri, 4 Sep 2020 14:07:17 GMT", "version": "v1" } ]
2020-09-07
[ [ "Azar", "Kimia Zamiri", "" ], [ "Kamali", "Hadi Mardani", "" ], [ "Homayoun", "Houman", "" ], [ "Sasan", "Avesta", "" ] ]
The globalization of the IC supply chain has raised many security threats, especially when untrusted parties are involved. This has created a demand for a dependable logic obfuscation solution to combat these threats. Amongst a wide range of threats and countermeasures on logic obfuscation in the 2010s decade, the Bool...
2205.04338
Charles Pillet
Charles Pillet, Valerio Bioglio, Pascal Giard
On the Distribution of Partially Symmetric Codes for Automorphism Ensemble Decoding
6 pages, 4 figures, 4 sub-figures, to be presented at IEEE Information Theory Workshop 2023
null
10.1109/ITW55543.2023.10161664
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Automorphism Ensemble (AE) decoding has recently drawn attention as a possible alternative to list decoding of polar codes. In this letter, we investigate the distribution of Partially-Symmetric Reed-Muller (PS-RM) codes, a family of polar codes yielding good performances under AE decoding. We prove the existence of ...
[ { "created": "Mon, 9 May 2022 14:38:14 GMT", "version": "v1" }, { "created": "Mon, 20 Mar 2023 13:33:49 GMT", "version": "v2" } ]
2023-08-07
[ [ "Pillet", "Charles", "" ], [ "Bioglio", "Valerio", "" ], [ "Giard", "Pascal", "" ] ]
Automorphism Ensemble (AE) decoding has recently drawn attention as a possible alternative to list decoding of polar codes. In this letter, we investigate the distribution of Partially-Symmetric Reed-Muller (PS-RM) codes, a family of polar codes yielding good performances under AE decoding. We prove the existence of th...
2203.11637
Tom\'a\v{s} Sou\v{c}ek
Tom\'a\v{s} Sou\v{c}ek, Jean-Baptiste Alayrac, Antoine Miech, Ivan Laptev, Josef Sivic
Look for the Change: Learning Object States and State-Modifying Actions from Untrimmed Web Videos
To be published in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Human actions often induce changes of object states such as "cutting an apple", "cleaning shoes" or "pouring coffee". In this paper, we seek to temporally localize object states (e.g. "empty" and "full" cup) together with the corresponding state-modifying actions ("pouring coffee") in long uncurated videos with minim...
[ { "created": "Tue, 22 Mar 2022 11:45:10 GMT", "version": "v1" } ]
2022-03-23
[ [ "Souček", "Tomáš", "" ], [ "Alayrac", "Jean-Baptiste", "" ], [ "Miech", "Antoine", "" ], [ "Laptev", "Ivan", "" ], [ "Sivic", "Josef", "" ] ]
Human actions often induce changes of object states such as "cutting an apple", "cleaning shoes" or "pouring coffee". In this paper, we seek to temporally localize object states (e.g. "empty" and "full" cup) together with the corresponding state-modifying actions ("pouring coffee") in long uncurated videos with minimal...
1603.08129
Tryphon Georgiou
Yongxin Chen, Tryphon T. Georgiou, Michele Pavon and Allen Tannenbaum
Robust transport over networks
9 pages, 2 figures
null
null
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider transport over a strongly connected, directed graph. The scheduling amounts to selecting transition probabilities for a discrete-time Markov evolution which is designed to be consistent with certain initial and final marginals. The random evolution is selected to be closest to a prior measure on paths in ...
[ { "created": "Sat, 26 Mar 2016 17:59:42 GMT", "version": "v1" } ]
2016-03-29
[ [ "Chen", "Yongxin", "" ], [ "Georgiou", "Tryphon T.", "" ], [ "Pavon", "Michele", "" ], [ "Tannenbaum", "Allen", "" ] ]
We consider transport over a strongly connected, directed graph. The scheduling amounts to selecting transition probabilities for a discrete-time Markov evolution which is designed to be consistent with certain initial and final marginals. The random evolution is selected to be closest to a prior measure on paths in th...
1501.03924
Gao Jian
Jian Gao, Fang-Wei Fu, Ling Xiao, Rama Krishna Bandi
On cyclic codes over $\mathbb{Z}_q+u\mathbb{Z}_q$
11. arXiv admin note: text overlap with arXiv:1309.1623
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Let $R=\mathbb{Z}_q+u\mathbb{Z}_q$, where $q=p^s$ and $u^2=0$. In this paper, some structural properties of cyclic codes over the ring $R$ are considered. A necessary and sufficient condition for cyclic codes over the ring $R$ to be free is obtained and a BCH-type bound on the minimum Hamming distance for them is als...
[ { "created": "Fri, 16 Jan 2015 09:36:11 GMT", "version": "v1" }, { "created": "Tue, 20 Jan 2015 02:42:29 GMT", "version": "v2" }, { "created": "Sat, 24 Jan 2015 01:37:22 GMT", "version": "v3" }, { "created": "Sun, 26 Apr 2015 06:55:09 GMT", "version": "v4" } ]
2015-04-28
[ [ "Gao", "Jian", "" ], [ "Fu", "Fang-Wei", "" ], [ "Xiao", "Ling", "" ], [ "Bandi", "Rama Krishna", "" ] ]
Let $R=\mathbb{Z}_q+u\mathbb{Z}_q$, where $q=p^s$ and $u^2=0$. In this paper, some structural properties of cyclic codes over the ring $R$ are considered. A necessary and sufficient condition for cyclic codes over the ring $R$ to be free is obtained and a BCH-type bound on the minimum Hamming distance for them is also ...
2212.05402
Mohammad Pasande
Mohammad Pasande, Reshad Hosseini, Babak Nadjar Araabi
Stochastic First-Order Learning for Large-Scale Flexibly Tied Gaussian Mixture Model
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Gaussian Mixture Models (GMMs) are one of the most potent parametric density models used extensively in many applications. Flexibly-tied factorization of the covariance matrices in GMMs is a powerful approach for coping with the challenges of common GMMs when faced with high-dimensional data and complex densities whi...
[ { "created": "Sun, 11 Dec 2022 04:24:52 GMT", "version": "v1" }, { "created": "Sun, 18 Jun 2023 11:23:40 GMT", "version": "v2" }, { "created": "Sat, 11 Nov 2023 17:39:22 GMT", "version": "v3" } ]
2023-11-14
[ [ "Pasande", "Mohammad", "" ], [ "Hosseini", "Reshad", "" ], [ "Araabi", "Babak Nadjar", "" ] ]
Gaussian Mixture Models (GMMs) are one of the most potent parametric density models used extensively in many applications. Flexibly-tied factorization of the covariance matrices in GMMs is a powerful approach for coping with the challenges of common GMMs when faced with high-dimensional data and complex densities which...
1606.02868
Gabriele Fici
Gabriele Fici, Antonio Restivo, Manuel Silva, Luca Q. Zamboni
Anti-Powers in Infinite Words
Revision submitted to Journal of Combinatorial Theory Series A
Journal of Combinatorial Theory, Series A Volume 157, July 2018, Pages 109-119
10.1016/j.jcta.2018.02.009
null
cs.DM cs.FL math.CO
http://creativecommons.org/licenses/by/4.0/
In combinatorics of words, a concatenation of $k$ consecutive equal blocks is called a power of order $k$. In this paper we take a different point of view and define an anti-power of order $k$ as a concatenation of $k$ consecutive pairwise distinct blocks of the same length. As a main result, we show that every infin...
[ { "created": "Thu, 9 Jun 2016 08:33:25 GMT", "version": "v1" }, { "created": "Fri, 30 Dec 2016 09:21:52 GMT", "version": "v2" }, { "created": "Mon, 12 Feb 2018 14:14:01 GMT", "version": "v3" } ]
2018-05-28
[ [ "Fici", "Gabriele", "" ], [ "Restivo", "Antonio", "" ], [ "Silva", "Manuel", "" ], [ "Zamboni", "Luca Q.", "" ] ]
In combinatorics of words, a concatenation of $k$ consecutive equal blocks is called a power of order $k$. In this paper we take a different point of view and define an anti-power of order $k$ as a concatenation of $k$ consecutive pairwise distinct blocks of the same length. As a main result, we show that every infinit...
2204.07501
Mohamad Khajezade
Mohamad Khajezade, Fatemeh Hendijani Fard and Mohamed S. Shehata
Evaluating few shot and Contrastive learning Methods for Code Clone Detection
null
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Context: Code Clone Detection (CCD) is a software engineering task that is used for plagiarism detection, code search, and code comprehension. Recently, deep learning-based models have achieved an F1 score (a metric used to assess classifiers) of $\sim$95\% on the CodeXGLUE benchmark. These models require many traini...
[ { "created": "Fri, 15 Apr 2022 15:01:55 GMT", "version": "v1" }, { "created": "Sun, 24 Apr 2022 17:45:10 GMT", "version": "v2" }, { "created": "Thu, 9 Nov 2023 18:30:35 GMT", "version": "v3" } ]
2023-11-10
[ [ "Khajezade", "Mohamad", "" ], [ "Fard", "Fatemeh Hendijani", "" ], [ "Shehata", "Mohamed S.", "" ] ]
Context: Code Clone Detection (CCD) is a software engineering task that is used for plagiarism detection, code search, and code comprehension. Recently, deep learning-based models have achieved an F1 score (a metric used to assess classifiers) of $\sim$95\% on the CodeXGLUE benchmark. These models require many training...
2010.05909
Sahar Tavakoli
Sahar Tavakoli
PhD dissertation to infer multiple networks from microbial data
PhD dissertation, Univ Central Florida (2020)
null
null
null
cs.AI q-bio.QM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The interactions among the constituent members of a microbial community play a major role in determining the overall behavior of the community and the abundance levels of its members. These interactions can be modeled using a network whose nodes represent microbial taxa and edges represent pairwise interactions. A mi...
[ { "created": "Mon, 12 Oct 2020 19:16:26 GMT", "version": "v1" }, { "created": "Fri, 16 Oct 2020 19:51:56 GMT", "version": "v2" } ]
2020-10-20
[ [ "Tavakoli", "Sahar", "" ] ]
The interactions among the constituent members of a microbial community play a major role in determining the overall behavior of the community and the abundance levels of its members. These interactions can be modeled using a network whose nodes represent microbial taxa and edges represent pairwise interactions. A micr...
2203.00128
Zhijie Chen
Zhijie Chen, Mingquan Feng, Junchi Yan, Hongyuan Zha
Learning Neural Hamiltonian Dynamics: A Methodological Overview
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
The past few years have witnessed an increased interest in learning Hamiltonian dynamics in deep learning frameworks. As an inductive bias based on physical laws, Hamiltonian dynamics endow neural networks with accurate long-term prediction, interpretability, and data-efficient learning. However, Hamiltonian dynamics...
[ { "created": "Mon, 28 Feb 2022 22:54:39 GMT", "version": "v1" } ]
2022-03-02
[ [ "Chen", "Zhijie", "" ], [ "Feng", "Mingquan", "" ], [ "Yan", "Junchi", "" ], [ "Zha", "Hongyuan", "" ] ]
The past few years have witnessed an increased interest in learning Hamiltonian dynamics in deep learning frameworks. As an inductive bias based on physical laws, Hamiltonian dynamics endow neural networks with accurate long-term prediction, interpretability, and data-efficient learning. However, Hamiltonian dynamics a...
2312.06059
Tuna Han Salih Meral
Tuna Han Salih Meral, Enis Simsar, Federico Tombari, Pinar Yanardag
CONFORM: Contrast is All You Need For High-Fidelity Text-to-Image Diffusion Models
null
null
null
null
cs.CV cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Images produced by text-to-image diffusion models might not always faithfully represent the semantic intent of the provided text prompt, where the model might overlook or entirely fail to produce certain objects. Existing solutions often require customly tailored functions for each of these problems, leading to sub-o...
[ { "created": "Mon, 11 Dec 2023 01:42:15 GMT", "version": "v1" } ]
2023-12-12
[ [ "Meral", "Tuna Han Salih", "" ], [ "Simsar", "Enis", "" ], [ "Tombari", "Federico", "" ], [ "Yanardag", "Pinar", "" ] ]
Images produced by text-to-image diffusion models might not always faithfully represent the semantic intent of the provided text prompt, where the model might overlook or entirely fail to produce certain objects. Existing solutions often require customly tailored functions for each of these problems, leading to sub-opt...
1502.04312
Keiichi Nemoto
Keiichi Nemoto and Ken-ichi Okada
WIKI THANKS: Cultural Differences in Thanks Network of Different-Language Wikipedias
Proceedings of the 5th International Conference on Collaborative Innovation Networks COINs15, Tokyo, Japan March 12-14, 2015 (arXiv:1502.01142)
null
null
coins15/2015/07
cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Wikipedia introduced a new social function "wiki-thanks". "Wiki-thanks" enable editors to send thanks to other editors' contributions. In this paper, we aim to investigate this new social tool from different cultural perspectives. To achieve this goal, we analyze "wiki-thanks" log events and compared the English, Ger...
[ { "created": "Sun, 15 Feb 2015 14:08:38 GMT", "version": "v1" } ]
2015-02-17
[ [ "Nemoto", "Keiichi", "" ], [ "Okada", "Ken-ichi", "" ] ]
Wikipedia introduced a new social function "wiki-thanks". "Wiki-thanks" enable editors to send thanks to other editors' contributions. In this paper, we aim to investigate this new social tool from different cultural perspectives. To achieve this goal, we analyze "wiki-thanks" log events and compared the English, Germa...
2302.06674
Minsik Oh
Minsik Oh, Joosung Lee, Jiwei Li, Guoyin Wang
PK-ICR: Persona-Knowledge Interactive Context Retrieval for Grounded Dialogue
Accepted to EMNLP 2023 main conference (Oral). Code available at https://github.com/minsik-ai/PK-ICR
null
null
null
cs.CL cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Identifying relevant persona or knowledge for conversational systems is critical to grounded dialogue response generation. However, each grounding has been mostly researched in isolation with more practical multi-context dialogue tasks introduced in recent works. We define Persona and Knowledge Dual Context Identific...
[ { "created": "Mon, 13 Feb 2023 20:27:26 GMT", "version": "v1" }, { "created": "Sun, 8 Oct 2023 02:45:12 GMT", "version": "v2" }, { "created": "Thu, 19 Oct 2023 15:43:06 GMT", "version": "v3" }, { "created": "Sun, 11 Aug 2024 05:14:28 GMT", "version": "v4" } ]
2024-08-13
[ [ "Oh", "Minsik", "" ], [ "Lee", "Joosung", "" ], [ "Li", "Jiwei", "" ], [ "Wang", "Guoyin", "" ] ]
Identifying relevant persona or knowledge for conversational systems is critical to grounded dialogue response generation. However, each grounding has been mostly researched in isolation with more practical multi-context dialogue tasks introduced in recent works. We define Persona and Knowledge Dual Context Identificat...
1903.05965
Yiming Li
Jiawang Bai, Yiming Li, Jiawei Li, Yong Jiang, Shutao Xia
Rectified Decision Trees: Towards Interpretability, Compression and Empirical Soundness
This is an early draft of our journal submission 'Rectified Decision Trees: Exploring the Landscape of Interpretable and Effective Machine Learning'. Please refer to our new version (arXiv:2008.09413)
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
How to obtain a model with good interpretability and performance has always been an important research topic. In this paper, we propose rectified decision trees (ReDT), a knowledge distillation based decision trees rectification with high interpretability, small model size, and empirical soundness. Specifically, we e...
[ { "created": "Thu, 14 Mar 2019 13:04:03 GMT", "version": "v1" }, { "created": "Mon, 24 Aug 2020 02:52:06 GMT", "version": "v2" } ]
2020-08-25
[ [ "Bai", "Jiawang", "" ], [ "Li", "Yiming", "" ], [ "Li", "Jiawei", "" ], [ "Jiang", "Yong", "" ], [ "Xia", "Shutao", "" ] ]
How to obtain a model with good interpretability and performance has always been an important research topic. In this paper, we propose rectified decision trees (ReDT), a knowledge distillation based decision trees rectification with high interpretability, small model size, and empirical soundness. Specifically, we ext...
1711.06969
Swami Sankaranarayanan
Swami Sankaranarayanan, Yogesh Balaji, Arpit Jain, Ser Nam Lim, Rama Chellappa
Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation
Accepted as spotlight talk at CVPR 2018. Code available here: https://github.com/swamiviv/LSD-seg
null
null
null
cs.CV cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Visual Domain Adaptation is a problem of immense importance in computer vision. Previous approaches showcase the inability of even deep neural networks to learn informative representations across domain shift. This problem is more severe for tasks where acquiring hand labeled data is extremely hard and tedious. In th...
[ { "created": "Sun, 19 Nov 2017 05:25:24 GMT", "version": "v1" }, { "created": "Sun, 1 Apr 2018 21:48:18 GMT", "version": "v2" } ]
2018-04-03
[ [ "Sankaranarayanan", "Swami", "" ], [ "Balaji", "Yogesh", "" ], [ "Jain", "Arpit", "" ], [ "Lim", "Ser Nam", "" ], [ "Chellappa", "Rama", "" ] ]
Visual Domain Adaptation is a problem of immense importance in computer vision. Previous approaches showcase the inability of even deep neural networks to learn informative representations across domain shift. This problem is more severe for tasks where acquiring hand labeled data is extremely hard and tedious. In this...
1902.02729
Tycho Van Der Ouderaa
Tycho F.A. van der Ouderaa, Daniel E. Worrall
Reversible GANs for Memory-efficient Image-to-Image Translation
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Pix2pix and CycleGAN losses have vastly improved the qualitative and quantitative visual quality of results in image-to-image translation tasks. We extend this framework by exploring approximately invertible architectures which are well suited to these losses. These architectures are approximately invertible by d...
[ { "created": "Thu, 7 Feb 2019 17:03:05 GMT", "version": "v1" } ]
2019-02-08
[ [ "van der Ouderaa", "Tycho F. A.", "" ], [ "Worrall", "Daniel E.", "" ] ]
The Pix2pix and CycleGAN losses have vastly improved the qualitative and quantitative visual quality of results in image-to-image translation tasks. We extend this framework by exploring approximately invertible architectures which are well suited to these losses. These architectures are approximately invertible by des...
2204.03843
Qian Chen
Qian Chen, Zilong Wang, Yilin Zhou, Jiawei Chen, Dan Xiao, and Xiaodong Lin
CFL: Cluster Federated Learning in Large-scale Peer-to-Peer Networks
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Federated learning (FL) has sparked extensive interest in exploiting the private data on clients' local devices. However, the parameter server setting of FL not only has high bandwidth requirements, but also poses data privacy issues and a single point of failure. In this paper, we propose an efficient and privacy-pr...
[ { "created": "Fri, 8 Apr 2022 05:13:40 GMT", "version": "v1" }, { "created": "Wed, 6 Jul 2022 13:58:28 GMT", "version": "v2" } ]
2022-07-07
[ [ "Chen", "Qian", "" ], [ "Wang", "Zilong", "" ], [ "Zhou", "Yilin", "" ], [ "Chen", "Jiawei", "" ], [ "Xiao", "Dan", "" ], [ "Lin", "Xiaodong", "" ] ]
Federated learning (FL) has sparked extensive interest in exploiting the private data on clients' local devices. However, the parameter server setting of FL not only has high bandwidth requirements, but also poses data privacy issues and a single point of failure. In this paper, we propose an efficient and privacy-pres...
1304.2730
Lei Xu
Lei Xu, Judea Pearl
Structuring Causal Tree Models with Continuous Variables
Appears in Proceedings of the Third Conference on Uncertainty in Artificial Intelligence (UAI1987)
null
null
UAI-P-1987-PG-170-179
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper considers the problem of invoking auxiliary, unobservable variables to facilitate the structuring of causal tree models for a given set of continuous variables. Paralleling the treatment of bi-valued variables in [Pearl 1986], we show that if a collection of coupled variables are governed by a joint normal...
[ { "created": "Wed, 27 Mar 2013 19:47:50 GMT", "version": "v1" } ]
2013-04-11
[ [ "Xu", "Lei", "" ], [ "Pearl", "Judea", "" ] ]
This paper considers the problem of invoking auxiliary, unobservable variables to facilitate the structuring of causal tree models for a given set of continuous variables. Paralleling the treatment of bi-valued variables in [Pearl 1986], we show that if a collection of coupled variables are governed by a joint normal d...
0903.3669
Xiu-Li Wang
Xiuli Wang
Comment on "Language Trees and Zipping" arXiv:cond-mat/0108530
2 pages comment on arXiv:cond-mat/0108530, arXiv:cond-mat/0203275
null
null
null
cs.AI cs.IT math.IT
http://creativecommons.org/licenses/by/3.0/
Every encoding has priori information if the encoding represents any semantic information of the unverse or object. Encoding means mapping from the unverse to the string or strings of digits. The semantic here is used in the model-theoretic sense or denotation of the object. If encoding or strings of symbols is the a...
[ { "created": "Sat, 21 Mar 2009 14:29:11 GMT", "version": "v1" } ]
2009-03-24
[ [ "Wang", "Xiuli", "" ] ]
Every encoding has priori information if the encoding represents any semantic information of the unverse or object. Encoding means mapping from the unverse to the string or strings of digits. The semantic here is used in the model-theoretic sense or denotation of the object. If encoding or strings of symbols is the ade...
2408.03215
Shiwei Li
Shiwei Li and Wenchao Xu and Haozhao Wang and Xing Tang and Yining Qi and Shijie Xu and Weihong Luo and Yuhua Li and Xiuqiang He and Ruixuan Li
FedBAT: Communication-Efficient Federated Learning via Learnable Binarization
Accepted by ICML 2024
null
null
null
cs.LG cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Federated learning is a promising distributed machine learning paradigm that can effectively exploit large-scale data without exposing users' privacy. However, it may incur significant communication overhead, thereby potentially impairing the training efficiency. To address this challenge, numerous studies suggest bi...
[ { "created": "Tue, 6 Aug 2024 14:19:06 GMT", "version": "v1" } ]
2024-08-07
[ [ "Li", "Shiwei", "" ], [ "Xu", "Wenchao", "" ], [ "Wang", "Haozhao", "" ], [ "Tang", "Xing", "" ], [ "Qi", "Yining", "" ], [ "Xu", "Shijie", "" ], [ "Luo", "Weihong", "" ], [ "Li", "Yuhua", "...
Federated learning is a promising distributed machine learning paradigm that can effectively exploit large-scale data without exposing users' privacy. However, it may incur significant communication overhead, thereby potentially impairing the training efficiency. To address this challenge, numerous studies suggest bina...
2402.01816
Jens Oehlschl\"agel
Jens Oehlschl\"agel
Simple Symmetric Sustainable Sorting -- the greeNsort article
50 pages, 6 Figures, latest version under https://github.com/greeNsort/greeNsort.article, see also https://greensort.org
null
null
null
cs.DS cs.CY cs.DC cs.PF
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We explored an uncharted part of the solution space for sorting algorithms: the role of symmetry in divide&conquer algorithms. We found/designed novel simple binary Quicksort and Mergesort algorithms operating in contiguous space which achieve improved trade-offs between worst-case CPU-efficiency, best-case adaptivit...
[ { "created": "Fri, 2 Feb 2024 14:21:51 GMT", "version": "v1" } ]
2024-02-06
[ [ "Oehlschlägel", "Jens", "" ] ]
We explored an uncharted part of the solution space for sorting algorithms: the role of symmetry in divide&conquer algorithms. We found/designed novel simple binary Quicksort and Mergesort algorithms operating in contiguous space which achieve improved trade-offs between worst-case CPU-efficiency, best-case adaptivity ...
1912.08306
Kaixiong Zhou
Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou and Xia Hu
Multi-Channel Graph Convolutional Networks
null
null
null
null
cs.SI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Graph neural networks (GNN) has been demonstrated to be effective in classifying graph structures. To further improve the graph representation learning ability, hierarchical GNN has been explored. It leverages the differentiable pooling to cluster nodes into fixed groups, and generates a coarse-grained structure acco...
[ { "created": "Tue, 17 Dec 2019 23:05:01 GMT", "version": "v1" } ]
2019-12-19
[ [ "Zhou", "Kaixiong", "" ], [ "Song", "Qingquan", "" ], [ "Huang", "Xiao", "" ], [ "Zha", "Daochen", "" ], [ "Zou", "Na", "" ], [ "Hu", "Xia", "" ] ]
Graph neural networks (GNN) has been demonstrated to be effective in classifying graph structures. To further improve the graph representation learning ability, hierarchical GNN has been explored. It leverages the differentiable pooling to cluster nodes into fixed groups, and generates a coarse-grained structure accomp...
1612.03191
Hern\'an Melgratti
Rocco de Nicola and Hern\'an Melgratti
Multiparty testing preorders
null
Logical Methods in Computer Science, Volume 19, Issue 1 (January 5, 2023) lmcs:2598
10.46298/lmcs-19(1:1)2023
null
cs.LO
http://creativecommons.org/licenses/by/4.0/
Variants of the must testing approach have been successfully applied in service oriented computing for analysing the compliance between (contracts exposed by) clients and servers or, more generally, between two peers. It has however been argued that multiparty scenarios call for more permissive notions of compliance ...
[ { "created": "Fri, 9 Dec 2016 21:59:23 GMT", "version": "v1" }, { "created": "Thu, 13 May 2021 17:16:13 GMT", "version": "v2" }, { "created": "Fri, 8 Apr 2022 21:29:04 GMT", "version": "v3" }, { "created": "Thu, 24 Nov 2022 11:48:30 GMT", "version": "v4" }, { "cre...
2023-06-22
[ [ "de Nicola", "Rocco", "" ], [ "Melgratti", "Hernán", "" ] ]
Variants of the must testing approach have been successfully applied in service oriented computing for analysing the compliance between (contracts exposed by) clients and servers or, more generally, between two peers. It has however been argued that multiparty scenarios call for more permissive notions of compliance be...
2406.12739
Fabian David Schmidt
Fabian David Schmidt, Philipp Borchert, Ivan Vuli\'c, Goran Glava\v{s}
Self-Distillation for Model Stacking Unlocks Cross-Lingual NLU in 200+ Languages
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by-sa/4.0/
LLMs have become a go-to solution not just for text generation, but also for natural language understanding (NLU) tasks. Acquiring extensive knowledge through language modeling on web-scale corpora, they excel on English NLU, yet struggle to extend their NLU capabilities to underrepresented languages. In contrast, ma...
[ { "created": "Tue, 18 Jun 2024 16:00:20 GMT", "version": "v1" } ]
2024-06-19
[ [ "Schmidt", "Fabian David", "" ], [ "Borchert", "Philipp", "" ], [ "Vulić", "Ivan", "" ], [ "Glavaš", "Goran", "" ] ]
LLMs have become a go-to solution not just for text generation, but also for natural language understanding (NLU) tasks. Acquiring extensive knowledge through language modeling on web-scale corpora, they excel on English NLU, yet struggle to extend their NLU capabilities to underrepresented languages. In contrast, mach...
1604.05350
Manuel Wettstein
Manuel Wettstein
Counting and Enumerating Crossing-free Geometric Graphs
null
null
null
null
cs.CG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We describe a framework for counting and enumerating various types of crossing-free geometric graphs on a planar point set. The framework generalizes ideas of Alvarez and Seidel, who used them to count triangulations in time $O(2^nn^2)$ where $n$ is the number of points. The main idea is to reduce the problem of coun...
[ { "created": "Mon, 18 Apr 2016 21:03:31 GMT", "version": "v1" } ]
2016-04-20
[ [ "Wettstein", "Manuel", "" ] ]
We describe a framework for counting and enumerating various types of crossing-free geometric graphs on a planar point set. The framework generalizes ideas of Alvarez and Seidel, who used them to count triangulations in time $O(2^nn^2)$ where $n$ is the number of points. The main idea is to reduce the problem of counti...
2405.14487
Mohammed Hassanin
Mohammed Hassanin, Nour Moustafa
A Comprehensive Overview of Large Language Models (LLMs) for Cyber Defences: Opportunities and Directions
null
null
null
null
cs.CR
http://creativecommons.org/licenses/by/4.0/
The recent progression of Large Language Models (LLMs) has witnessed great success in the fields of data-centric applications. LLMs trained on massive textual datasets showed ability to encode not only context but also ability to provide powerful comprehension to downstream tasks. Interestingly, Generative Pre-traine...
[ { "created": "Thu, 23 May 2024 12:19:07 GMT", "version": "v1" } ]
2024-05-24
[ [ "Hassanin", "Mohammed", "" ], [ "Moustafa", "Nour", "" ] ]
The recent progression of Large Language Models (LLMs) has witnessed great success in the fields of data-centric applications. LLMs trained on massive textual datasets showed ability to encode not only context but also ability to provide powerful comprehension to downstream tasks. Interestingly, Generative Pre-trained ...
2209.08423
Marguerite Basta
Marguerite B. Basta, Sarfaraz Hussein, Hsiang Hsu, and Flavio P. Calmon
Automated Segmentation and Recurrence Risk Prediction of Surgically Resected Lung Tumors with Adaptive Convolutional Neural Networks
9 pages, 5 figures
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
Lung cancer is the leading cause of cancer related mortality by a significant margin. While new technologies, such as image segmentation, have been paramount to improved detection and earlier diagnoses, there are still significant challenges in treating the disease. In particular, despite an increased number of curat...
[ { "created": "Sat, 17 Sep 2022 23:06:22 GMT", "version": "v1" } ]
2022-09-20
[ [ "Basta", "Marguerite B.", "" ], [ "Hussein", "Sarfaraz", "" ], [ "Hsu", "Hsiang", "" ], [ "Calmon", "Flavio P.", "" ] ]
Lung cancer is the leading cause of cancer related mortality by a significant margin. While new technologies, such as image segmentation, have been paramount to improved detection and earlier diagnoses, there are still significant challenges in treating the disease. In particular, despite an increased number of curativ...
2406.04064
Jisu Shin
Jisu Shin, Hoyun Song, Huije Lee, Soyeong Jeong, and Jong C. Park
Ask LLMs Directly, "What shapes your bias?": Measuring Social Bias in Large Language Models
Findings of ACL 2024
null
null
null
cs.CL cs.AI cs.CY
http://creativecommons.org/licenses/by-sa/4.0/
Social bias is shaped by the accumulation of social perceptions towards targets across various demographic identities. To fully understand such social bias in large language models (LLMs), it is essential to consider the composite of social perceptions from diverse perspectives among identities. Previous studies have...
[ { "created": "Thu, 6 Jun 2024 13:32:09 GMT", "version": "v1" } ]
2024-06-07
[ [ "Shin", "Jisu", "" ], [ "Song", "Hoyun", "" ], [ "Lee", "Huije", "" ], [ "Jeong", "Soyeong", "" ], [ "Park", "Jong C.", "" ] ]
Social bias is shaped by the accumulation of social perceptions towards targets across various demographic identities. To fully understand such social bias in large language models (LLMs), it is essential to consider the composite of social perceptions from diverse perspectives among identities. Previous studies have e...
2301.13804
Kamesh Munagala
Zeyu Shen and Zhiyi Wang and Xingyu Zhu and Brandon Fain and Kamesh Munagala
Fairness in the Assignment Problem with Uncertain Priorities
Accepted to AAMAS 2023
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the assignment problem, a set of items must be allocated to unit-demand agents who express ordinal preferences (rankings) over the items. In the assignment problem with priorities, agents with higher priority are entitled to their preferred goods with respect to lower priority agents. A priority can be naturally r...
[ { "created": "Tue, 31 Jan 2023 17:45:51 GMT", "version": "v1" } ]
2023-02-01
[ [ "Shen", "Zeyu", "" ], [ "Wang", "Zhiyi", "" ], [ "Zhu", "Xingyu", "" ], [ "Fain", "Brandon", "" ], [ "Munagala", "Kamesh", "" ] ]
In the assignment problem, a set of items must be allocated to unit-demand agents who express ordinal preferences (rankings) over the items. In the assignment problem with priorities, agents with higher priority are entitled to their preferred goods with respect to lower priority agents. A priority can be naturally rep...
2012.13122
Naeha Sharif
Naeha Sharif, Mohammed Bennamoun, Wei Liu, Syed Afaq Ali Shah
SubICap: Towards Subword-informed Image Captioning
8 pages
Workshop on Applications of Computer Vision (WACV), 2021
null
null
cs.CL cs.AI cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Existing Image Captioning (IC) systems model words as atomic units in captions and are unable to exploit the structural information in the words. This makes representation of rare words very difficult and out-of-vocabulary words impossible. Moreover, to avoid computational complexity, existing IC models operate over ...
[ { "created": "Thu, 24 Dec 2020 06:10:36 GMT", "version": "v1" } ]
2020-12-25
[ [ "Sharif", "Naeha", "" ], [ "Bennamoun", "Mohammed", "" ], [ "Liu", "Wei", "" ], [ "Shah", "Syed Afaq Ali", "" ] ]
Existing Image Captioning (IC) systems model words as atomic units in captions and are unable to exploit the structural information in the words. This makes representation of rare words very difficult and out-of-vocabulary words impossible. Moreover, to avoid computational complexity, existing IC models operate over a ...
2402.10896
Junfei Xiao
Junfei Xiao and Zheng Xu and Alan Yuille and Shen Yan and Boyu Wang
PaLM2-VAdapter: Progressively Aligned Language Model Makes a Strong Vision-language Adapter
Technical report, 15 pages; v2 fix typos, add additional results in appendix
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
This paper demonstrates that a progressively aligned language model can effectively bridge frozen vision encoders and large language models (LLMs). While the fundamental architecture and pre-training methods of vision encoders and LLMs have been extensively studied, the architecture and training strategy of vision-la...
[ { "created": "Fri, 16 Feb 2024 18:54:47 GMT", "version": "v1" }, { "created": "Sat, 1 Jun 2024 01:06:16 GMT", "version": "v2" } ]
2024-06-04
[ [ "Xiao", "Junfei", "" ], [ "Xu", "Zheng", "" ], [ "Yuille", "Alan", "" ], [ "Yan", "Shen", "" ], [ "Wang", "Boyu", "" ] ]
This paper demonstrates that a progressively aligned language model can effectively bridge frozen vision encoders and large language models (LLMs). While the fundamental architecture and pre-training methods of vision encoders and LLMs have been extensively studied, the architecture and training strategy of vision-lang...
2102.00753
Elija Perrier
Elija Perrier
Quantum Fair Machine Learning
null
null
null
null
cs.LG quant-ph
http://creativecommons.org/licenses/by/4.0/
In this paper, we inaugurate the field of quantum fair machine learning. We undertake a comparative analysis of differences and similarities between classical and quantum fair machine learning algorithms, specifying how the unique features of quantum computation alter measures, metrics and remediation strategies when...
[ { "created": "Mon, 1 Feb 2021 10:36:46 GMT", "version": "v1" }, { "created": "Thu, 22 Jul 2021 14:42:22 GMT", "version": "v2" } ]
2021-07-23
[ [ "Perrier", "Elija", "" ] ]
In this paper, we inaugurate the field of quantum fair machine learning. We undertake a comparative analysis of differences and similarities between classical and quantum fair machine learning algorithms, specifying how the unique features of quantum computation alter measures, metrics and remediation strategies when q...
1205.1731
Anthony Fanous
Anthony Fanous and Anthony Ephremides
Stable Throughput in a Cognitive Wireless Network
37 Pages with 7 figures
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study, from a network layer perspective, the effect of an Ad-Hoc secondary network with N nodes randomly accessing the spectrum licensed to a primary node during the idle slots of the primary user. If the sensing is perfect, then the secondary nodes do not interfere with the primary node and hence do not affect it...
[ { "created": "Tue, 8 May 2012 15:40:44 GMT", "version": "v1" } ]
2012-05-09
[ [ "Fanous", "Anthony", "" ], [ "Ephremides", "Anthony", "" ] ]
We study, from a network layer perspective, the effect of an Ad-Hoc secondary network with N nodes randomly accessing the spectrum licensed to a primary node during the idle slots of the primary user. If the sensing is perfect, then the secondary nodes do not interfere with the primary node and hence do not affect its ...
1501.07695
Matthieu Lauzier
Matthieu Lauzier (CITI Insa Lyon / Inria Grenoble Rh\^one-Alpes), Tanguy Risset (CITI Insa Lyon / Inria Grenoble Rh\^one-Alpes), Antoine Fraboulet (CITI Insa Lyon / Inria Grenoble Rh\^one-Alpes), Jean-Marie Gorce (CITI Insa Lyon / Inria Grenoble Rh\^one-Alpes, INSA Lyon)
Live Group Detection for Mobile Wireless Sensor Networks
BodyNets 2014 - 9th International Conference on Body Area Networks, Sep 2014, Londres, United Kingdom
null
10.4108/icst.bodynets.2014.257026
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper deals with distributed algorithms for monitoring the topology of a dynamic group of mobile wireless sensor networks. We propose two major extensions of a distributed static group consensus algorithm and an experimental implementation. Group consensus algorithms are exploited to let each node obtain the kno...
[ { "created": "Fri, 30 Jan 2015 08:30:43 GMT", "version": "v1" } ]
2015-02-02
[ [ "Lauzier", "Matthieu", "", "CITI Insa Lyon / Inria Grenoble Rhône-Alpes" ], [ "Risset", "Tanguy", "", "CITI Insa Lyon / Inria Grenoble Rhône-Alpes" ], [ "Fraboulet", "Antoine", "", "CITI Insa Lyon / Inria Grenoble Rhône-Alpes" ], [ "Gorce", "Jean...
This paper deals with distributed algorithms for monitoring the topology of a dynamic group of mobile wireless sensor networks. We propose two major extensions of a distributed static group consensus algorithm and an experimental implementation. Group consensus algorithms are exploited to let each node obtain the knowl...
2405.20161
Tommaso Monopoli
Tommaso Monopoli, Fabio Montello, Claudio Rossi
Landslide mapping from Sentinel-2 imagery through change detection
to be published in IEEE IGARSS 2024 conference proceedings
null
null
null
cs.CV eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Landslides are one of the most critical and destructive geohazards. Widespread development of human activities and settlements combined with the effects of climate change on weather are resulting in a high increase in the frequency and destructive power of landslides, making them a major threat to human life and the ...
[ { "created": "Thu, 30 May 2024 15:33:32 GMT", "version": "v1" } ]
2024-05-31
[ [ "Monopoli", "Tommaso", "" ], [ "Montello", "Fabio", "" ], [ "Rossi", "Claudio", "" ] ]
Landslides are one of the most critical and destructive geohazards. Widespread development of human activities and settlements combined with the effects of climate change on weather are resulting in a high increase in the frequency and destructive power of landslides, making them a major threat to human life and the ec...
1404.6757
Umakant Mishra
Umakant Mishra
Inventions on expressing emotions In Graphical User Interface
7 pages, 4 figures. Umakant Mishra, Inventions on Expressing Emotions in Graphical User Interface, (December 6, 2006), Available at SSRN: http://ssrn.com/abstract=949250
null
10.2139/ssrn.949250
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The conventional GUI is more mechanical and does not recognize or communicate emotions. The modern GUIs are trying to infer the likely emotional state and personality of the user and communicate through a corresponding emotional state. Emotions are expressed in graphical icons, sounds, pictures and other means. The...
[ { "created": "Sun, 27 Apr 2014 14:29:01 GMT", "version": "v1" } ]
2014-04-29
[ [ "Mishra", "Umakant", "" ] ]
The conventional GUI is more mechanical and does not recognize or communicate emotions. The modern GUIs are trying to infer the likely emotional state and personality of the user and communicate through a corresponding emotional state. Emotions are expressed in graphical icons, sounds, pictures and other means. The emo...
2404.16160
Cheng Kang
Cheng Kang and Daniel Novak and Katerina Urbanova and Yuqing Cheng and Yong Hu
Domain-Specific Improvement on Psychotherapy Chatbot Using Assistant
Accepted at ICASSP 2024 EIHRC
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
Large language models (LLMs) have demonstrated impressive generalization capabilities on specific tasks with human-written instruction data. However, the limited quantity, diversity, and professional expertise of such instruction data raise concerns about the performance of LLMs in psychotherapy tasks when provided w...
[ { "created": "Wed, 24 Apr 2024 19:30:18 GMT", "version": "v1" } ]
2024-04-26
[ [ "Kang", "Cheng", "" ], [ "Novak", "Daniel", "" ], [ "Urbanova", "Katerina", "" ], [ "Cheng", "Yuqing", "" ], [ "Hu", "Yong", "" ] ]
Large language models (LLMs) have demonstrated impressive generalization capabilities on specific tasks with human-written instruction data. However, the limited quantity, diversity, and professional expertise of such instruction data raise concerns about the performance of LLMs in psychotherapy tasks when provided wit...
2102.04442
Adrian Bulat
Adrian Bulat and Enrique S\'anchez-Lozano and Georgios Tzimiropoulos
Improving memory banks for unsupervised learning with large mini-batch, consistency and hard negative mining
Accepted at ICASSP 2021
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
An important component of unsupervised learning by instance-based discrimination is a memory bank for storing a feature representation for each training sample in the dataset. In this paper, we introduce 3 improvements to the vanilla memory bank-based formulation which brings massive accuracy gains: (a) Large mini-ba...
[ { "created": "Mon, 8 Feb 2021 18:56:33 GMT", "version": "v1" } ]
2021-02-09
[ [ "Bulat", "Adrian", "" ], [ "Sánchez-Lozano", "Enrique", "" ], [ "Tzimiropoulos", "Georgios", "" ] ]
An important component of unsupervised learning by instance-based discrimination is a memory bank for storing a feature representation for each training sample in the dataset. In this paper, we introduce 3 improvements to the vanilla memory bank-based formulation which brings massive accuracy gains: (a) Large mini-batc...
2002.06036
Victor Adrian Jimenez
Jorge Bustos, Victor A. Jimenez, Adrian Will
A comparison of different types of Niching Genetic Algorithms for variable selection in solar radiation estimation
10 pages, two columns, 9 figures, non-published paper
null
null
null
cs.NE cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Variable selection problems generally present more than a single solution and, sometimes, it is worth to find as many solutions as possible. The use of Evolutionary Algorithms applied to this kind of problem proves to be one of the best methods to find optimal solutions. Moreover, there are variants designed to find ...
[ { "created": "Fri, 14 Feb 2020 13:52:04 GMT", "version": "v1" } ]
2020-02-17
[ [ "Bustos", "Jorge", "" ], [ "Jimenez", "Victor A.", "" ], [ "Will", "Adrian", "" ] ]
Variable selection problems generally present more than a single solution and, sometimes, it is worth to find as many solutions as possible. The use of Evolutionary Algorithms applied to this kind of problem proves to be one of the best methods to find optimal solutions. Moreover, there are variants designed to find al...
1602.07428
Jun Zhu
Jun Zhu and Jiaming Song and Bei Chen
Max-Margin Nonparametric Latent Feature Models for Link Prediction
14 pages, 8 figures
null
null
null
cs.LG cs.SI stat.ME stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Link prediction is a fundamental task in statistical network analysis. Recent advances have been made on learning flexible nonparametric Bayesian latent feature models for link prediction. In this paper, we present a max-margin learning method for such nonparametric latent feature relational models. Our approach atte...
[ { "created": "Wed, 24 Feb 2016 08:08:05 GMT", "version": "v1" } ]
2016-02-25
[ [ "Zhu", "Jun", "" ], [ "Song", "Jiaming", "" ], [ "Chen", "Bei", "" ] ]
Link prediction is a fundamental task in statistical network analysis. Recent advances have been made on learning flexible nonparametric Bayesian latent feature models for link prediction. In this paper, we present a max-margin learning method for such nonparametric latent feature relational models. Our approach attemp...
2201.09144
Maliha Arif
Maliha Arif, Calvin Yong, Abhijit Mahalanobis
Background Invariant Classification on Infrared Imagery by Data Efficient Training and Reducing Bias in CNNs
Accepted in AAAI-22 Workshop
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Even though convolutional neural networks can classify objects in images very accurately, it is well known that the attention of the network may not always be on the semantically important regions of the scene. It has been observed that networks often learn background textures which are not relevant to the object of ...
[ { "created": "Sat, 22 Jan 2022 23:29:42 GMT", "version": "v1" }, { "created": "Wed, 9 Feb 2022 18:32:16 GMT", "version": "v2" } ]
2022-02-10
[ [ "Arif", "Maliha", "" ], [ "Yong", "Calvin", "" ], [ "Mahalanobis", "Abhijit", "" ] ]
Even though convolutional neural networks can classify objects in images very accurately, it is well known that the attention of the network may not always be on the semantically important regions of the scene. It has been observed that networks often learn background textures which are not relevant to the object of in...
1205.4977
Alan Mink
Alan Mink and Anastase Nakassis
LDPC for QKD Reconciliation
9 pages with Pseudo code and matrix correction performance
null
null
null
cs.CR quant-ph
http://creativecommons.org/licenses/publicdomain/
We present the Low Density Parity Check (LDPC) forward error correction algorithm adapted for the Quantum Key Distribution (QKD) protocol in a form readily applied by developers. A sparse parity check matrix is required for the LDPC algorithm and we suggest using some that have been defined by the IEEE and ETSI stand...
[ { "created": "Tue, 22 May 2012 16:50:40 GMT", "version": "v1" }, { "created": "Wed, 2 Apr 2014 19:26:47 GMT", "version": "v2" } ]
2014-04-03
[ [ "Mink", "Alan", "" ], [ "Nakassis", "Anastase", "" ] ]
We present the Low Density Parity Check (LDPC) forward error correction algorithm adapted for the Quantum Key Distribution (QKD) protocol in a form readily applied by developers. A sparse parity check matrix is required for the LDPC algorithm and we suggest using some that have been defined by the IEEE and ETSI standar...
2002.07224
Garrett Bingham
Garrett Bingham, William Macke, and Risto Miikkulainen
Evolutionary Optimization of Deep Learning Activation Functions
8 pages; 9 figures/tables; GECCO 2020
null
null
null
cs.LG cs.CV cs.NE stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The choice of activation function can have a large effect on the performance of a neural network. While there have been some attempts to hand-engineer novel activation functions, the Rectified Linear Unit (ReLU) remains the most commonly-used in practice. This paper shows that evolutionary algorithms can discover nov...
[ { "created": "Mon, 17 Feb 2020 19:54:26 GMT", "version": "v1" }, { "created": "Sat, 11 Apr 2020 15:53:12 GMT", "version": "v2" } ]
2020-04-14
[ [ "Bingham", "Garrett", "" ], [ "Macke", "William", "" ], [ "Miikkulainen", "Risto", "" ] ]
The choice of activation function can have a large effect on the performance of a neural network. While there have been some attempts to hand-engineer novel activation functions, the Rectified Linear Unit (ReLU) remains the most commonly-used in practice. This paper shows that evolutionary algorithms can discover novel...
1804.07837
Zhiyuan Li
Elad Hazan, Wei Hu, Yuanzhi Li, Zhiyuan Li
Online Improper Learning with an Approximation Oracle
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We revisit the question of reducing online learning to approximate optimization of the offline problem. In this setting, we give two algorithms with near-optimal performance in the full information setting: they guarantee optimal regret and require only poly-logarithmically many calls to the approximation oracle per ...
[ { "created": "Fri, 20 Apr 2018 21:46:06 GMT", "version": "v1" } ]
2018-04-24
[ [ "Hazan", "Elad", "" ], [ "Hu", "Wei", "" ], [ "Li", "Yuanzhi", "" ], [ "Li", "Zhiyuan", "" ] ]
We revisit the question of reducing online learning to approximate optimization of the offline problem. In this setting, we give two algorithms with near-optimal performance in the full information setting: they guarantee optimal regret and require only poly-logarithmically many calls to the approximation oracle per it...
2011.03091
Kristijan Bartol
Kristijan Bartol and David Bojanic and Tomislav Petkovic and Tomislav Pribanic and Yago Diez Donoso
Towards Keypoint Guided Self-Supervised Depth Estimation
null
15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2019
10.5220/0009190005830589
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper proposes to use keypoints as a self-supervision clue for learning depth map estimation from a collection of input images. As ground truth depth from real images is difficult to obtain, there are many unsupervised and self-supervised approaches to depth estimation that have been proposed. Most of these unsu...
[ { "created": "Thu, 5 Nov 2020 20:45:03 GMT", "version": "v1" } ]
2020-11-09
[ [ "Bartol", "Kristijan", "" ], [ "Bojanic", "David", "" ], [ "Petkovic", "Tomislav", "" ], [ "Pribanic", "Tomislav", "" ], [ "Donoso", "Yago Diez", "" ] ]
This paper proposes to use keypoints as a self-supervision clue for learning depth map estimation from a collection of input images. As ground truth depth from real images is difficult to obtain, there are many unsupervised and self-supervised approaches to depth estimation that have been proposed. Most of these unsupe...
1803.06924
Gabor Kecskemeti
Gabor Kecskemeti, Zsolt Nemeth, Attila Kertesz, Rajiv Ranjan
Cloud Workload Prediction based on Workflow Execution Time Discrepancies
null
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Infrastructure as a service clouds hide the complexity of maintaining the physical infrastructure with a slight disadvantage: they also hide their internal working details. Should users need knowledge about these details e.g., to increase the reliability or performance of their applications, they would need solutions...
[ { "created": "Mon, 19 Mar 2018 13:55:33 GMT", "version": "v1" } ]
2018-03-20
[ [ "Kecskemeti", "Gabor", "" ], [ "Nemeth", "Zsolt", "" ], [ "Kertesz", "Attila", "" ], [ "Ranjan", "Rajiv", "" ] ]
Infrastructure as a service clouds hide the complexity of maintaining the physical infrastructure with a slight disadvantage: they also hide their internal working details. Should users need knowledge about these details e.g., to increase the reliability or performance of their applications, they would need solutions t...
1809.00394
Muhammad Anis Uddin Nasir
Cigdem Aslay, Muhammad Anis Uddin Nasir, Gianmarco De Francisci Morales, Aristides Gionis
Mining Frequent Patterns in Evolving Graphs
10 pages, accepted at CIKM 2018
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Given a labeled graph, the frequent-subgraph mining (FSM) problem asks to find all the $k$-vertex subgraphs that appear with frequency greater than a given threshold. FSM has numerous applications ranging from biology to network science, as it provides a compact summary of the characteristics of the graph. However, t...
[ { "created": "Sun, 2 Sep 2018 21:25:48 GMT", "version": "v1" }, { "created": "Mon, 10 Sep 2018 17:51:20 GMT", "version": "v2" } ]
2018-09-11
[ [ "Aslay", "Cigdem", "" ], [ "Nasir", "Muhammad Anis Uddin", "" ], [ "Morales", "Gianmarco De Francisci", "" ], [ "Gionis", "Aristides", "" ] ]
Given a labeled graph, the frequent-subgraph mining (FSM) problem asks to find all the $k$-vertex subgraphs that appear with frequency greater than a given threshold. FSM has numerous applications ranging from biology to network science, as it provides a compact summary of the characteristics of the graph. However, the...
2312.13784
Giordano Paoletti
Giordano Paoletti, Luca Gioacchini, Marco Mellia, Luca Vassio, Jussara M. Almeida
Benchmarking Evolutionary Community Detection Algorithms in Dynamic Networks
Accepted at the 4th Workshop on Graphs and more Complex structures for Learning and Reasoning (GCLR) at AAAI 2024
4th Workshop on Graphs and more Complex structures for Learning and Reasoning (GCLR) at AAAI 2024
null
null
cs.NE cs.SI
http://creativecommons.org/licenses/by/4.0/
In dynamic complex networks, entities interact and form network communities that evolve over time. Among the many static Community Detection (CD) solutions, the modularity-based Louvain, or Greedy Modularity Algorithm (GMA), is widely employed in real-world applications due to its intuitiveness and scalability. Never...
[ { "created": "Thu, 21 Dec 2023 12:14:35 GMT", "version": "v1" }, { "created": "Thu, 11 Jan 2024 09:28:27 GMT", "version": "v2" } ]
2024-01-12
[ [ "Paoletti", "Giordano", "" ], [ "Gioacchini", "Luca", "" ], [ "Mellia", "Marco", "" ], [ "Vassio", "Luca", "" ], [ "Almeida", "Jussara M.", "" ] ]
In dynamic complex networks, entities interact and form network communities that evolve over time. Among the many static Community Detection (CD) solutions, the modularity-based Louvain, or Greedy Modularity Algorithm (GMA), is widely employed in real-world applications due to its intuitiveness and scalability. Neverth...
2107.12626
Jindong Wang
Yuxin Zhang, Yiqiang Chen, Jindong Wang, Zhiwen Pan
Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals
Accepted to IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE) as a regular paper; 14 pages
null
null
null
cs.AI cs.LG eess.SP
http://creativecommons.org/licenses/by/4.0/
Nowadays, multi-sensor technologies are applied in many fields, e.g., Health Care (HC), Human Activity Recognition (HAR), and Industrial Control System (ICS). These sensors can generate a substantial amount of multivariate time-series data. Unsupervised anomaly detection on multi-sensor time-series data has been prov...
[ { "created": "Tue, 27 Jul 2021 06:48:20 GMT", "version": "v1" }, { "created": "Mon, 2 Aug 2021 01:28:49 GMT", "version": "v2" } ]
2021-08-03
[ [ "Zhang", "Yuxin", "" ], [ "Chen", "Yiqiang", "" ], [ "Wang", "Jindong", "" ], [ "Pan", "Zhiwen", "" ] ]
Nowadays, multi-sensor technologies are applied in many fields, e.g., Health Care (HC), Human Activity Recognition (HAR), and Industrial Control System (ICS). These sensors can generate a substantial amount of multivariate time-series data. Unsupervised anomaly detection on multi-sensor time-series data has been proven...
2106.04279
Sainbayar Sukhbaatar
Da Ju, Stephen Roller, Sainbayar Sukhbaatar, Jason Weston
Staircase Attention for Recurrent Processing of Sequences
null
null
null
null
cs.LG cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Attention mechanisms have become a standard tool for sequence modeling tasks, in particular by stacking self-attention layers over the entire input sequence as in the Transformer architecture. In this work we introduce a novel attention procedure called staircase attention that, unlike self-attention, operates across...
[ { "created": "Tue, 8 Jun 2021 12:19:31 GMT", "version": "v1" } ]
2021-06-09
[ [ "Ju", "Da", "" ], [ "Roller", "Stephen", "" ], [ "Sukhbaatar", "Sainbayar", "" ], [ "Weston", "Jason", "" ] ]
Attention mechanisms have become a standard tool for sequence modeling tasks, in particular by stacking self-attention layers over the entire input sequence as in the Transformer architecture. In this work we introduce a novel attention procedure called staircase attention that, unlike self-attention, operates across t...
2005.08907
Gianluca Manzo
Gianluca Manzo and Arnout van de Rijt
Halting SARS-CoV-2 by Targeting High-Contact Individuals
null
Journal of Artificial Societies and Social Simulation 23 (4) 10 (2020), http://jasss.soc.surrey.ac.uk/23/4/10.html
10.18564/jasss.4435
null
cs.SI physics.soc-ph
http://creativecommons.org/licenses/by/4.0/
Network scientists have proposed that infectious diseases involving person-to-person transmission may be effectively halted by targeting interventions at a minority of highly connected individuals. Can this strategy be effective in combating a virus partly transmitted in close-range contact, as many believe SARS-CoV-...
[ { "created": "Mon, 18 May 2020 17:27:52 GMT", "version": "v1" }, { "created": "Sat, 6 Jun 2020 08:14:54 GMT", "version": "v2" }, { "created": "Fri, 24 Jul 2020 11:50:47 GMT", "version": "v3" } ]
2020-11-16
[ [ "Manzo", "Gianluca", "" ], [ "van de Rijt", "Arnout", "" ] ]
Network scientists have proposed that infectious diseases involving person-to-person transmission may be effectively halted by targeting interventions at a minority of highly connected individuals. Can this strategy be effective in combating a virus partly transmitted in close-range contact, as many believe SARS-CoV-2 ...
2110.10679
Damjan Vavpoti\v{c}
Damjan Vavpoti\v{c}, Karmen Knavs and Ljubica Kne\v{z}evi\'c Cvelbar
Using a market basket analysis in tourism studies
36 pages, 8 figures
Vavpoti\v{c} D, Knavs K, Kne\v{z}evi\'c Cvelbar L, Using a market basket analysis in tourism studies, Tourism Economics (First Published July 30, 2020), \c{opyright} 2020 (SAGE Publications)
10.1177/1354816620944264.
null
cs.SI
http://creativecommons.org/licenses/by-nc-nd/4.0/
Understanding tourist visitation patterns is crucial for decision makers in order to create smart tourism industry. A growing body of tourism research uses geo-location data in order to better understand tourism demand. In this paper, we present a new approach based on a market basket analysis. This approach uses geo...
[ { "created": "Wed, 20 Oct 2021 17:45:32 GMT", "version": "v1" } ]
2021-10-22
[ [ "Vavpotič", "Damjan", "" ], [ "Knavs", "Karmen", "" ], [ "Cvelbar", "Ljubica Knežević", "" ] ]
Understanding tourist visitation patterns is crucial for decision makers in order to create smart tourism industry. A growing body of tourism research uses geo-location data in order to better understand tourism demand. In this paper, we present a new approach based on a market basket analysis. This approach uses geo-l...
2102.00502
Yifan Wang
Yifan Wang, Zhanxuan Mei, Chia-Yang Tsai, Ioannis Katsavounidis, C.-C. Jay Kuo
A Machine Learning Approach to Optimal Inverse Discrete Cosine Transform (IDCT) Design
conference
null
null
null
cs.MM eess.IV
http://creativecommons.org/licenses/by/4.0/
The design of the optimal inverse discrete cosine transform (IDCT) to compensate the quantization error is proposed for effective lossy image compression in this work. The forward and inverse DCTs are designed in pair in current image/video coding standards without taking the quantization effect into account. Yet, th...
[ { "created": "Sun, 31 Jan 2021 17:53:16 GMT", "version": "v1" } ]
2021-02-02
[ [ "Wang", "Yifan", "" ], [ "Mei", "Zhanxuan", "" ], [ "Tsai", "Chia-Yang", "" ], [ "Katsavounidis", "Ioannis", "" ], [ "Kuo", "C. -C. Jay", "" ] ]
The design of the optimal inverse discrete cosine transform (IDCT) to compensate the quantization error is proposed for effective lossy image compression in this work. The forward and inverse DCTs are designed in pair in current image/video coding standards without taking the quantization effect into account. Yet, the ...
1907.00274
Pedro Morgado
Pedro Morgado and Nuno Vasconcelos
NetTailor: Tuning the Architecture, Not Just the Weights
null
CVF/IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Real-world applications of object recognition often require the solution of multiple tasks in a single platform. Under the standard paradigm of network fine-tuning, an entirely new CNN is learned per task, and the final network size is independent of task complexity. This is wasteful, since simple tasks require small...
[ { "created": "Sat, 29 Jun 2019 20:32:58 GMT", "version": "v1" } ]
2019-07-02
[ [ "Morgado", "Pedro", "" ], [ "Vasconcelos", "Nuno", "" ] ]
Real-world applications of object recognition often require the solution of multiple tasks in a single platform. Under the standard paradigm of network fine-tuning, an entirely new CNN is learned per task, and the final network size is independent of task complexity. This is wasteful, since simple tasks require smaller...
2303.14787
Taki Hasan Rafi
Taki Hasan Rafi, Faiza Anan Noor, Tahmid Hussain, Dong-Kyu Chae, Zhaohui Yang
A Generalized Look at Federated Learning: Survey and Perspectives
9 pages, 2 figures
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Federated learning (FL) refers to a distributed machine learning framework involving learning from several decentralized edge clients without sharing local dataset. This distributed strategy prevents data leakage and enables on-device training as it updates the global model based on the local model updates. Despite o...
[ { "created": "Sun, 26 Mar 2023 17:58:11 GMT", "version": "v1" } ]
2023-03-28
[ [ "Rafi", "Taki Hasan", "" ], [ "Noor", "Faiza Anan", "" ], [ "Hussain", "Tahmid", "" ], [ "Chae", "Dong-Kyu", "" ], [ "Yang", "Zhaohui", "" ] ]
Federated learning (FL) refers to a distributed machine learning framework involving learning from several decentralized edge clients without sharing local dataset. This distributed strategy prevents data leakage and enables on-device training as it updates the global model based on the local model updates. Despite off...
2407.15596
Kethan Reddy
Kethan Reddy, Elias Nassif, Panagiotis Angeloudis, Mohammed Quddus, Washington Ochieng
Towards a Universal Evaluation Model for Careful and Competent Autonomous Driving
arXiv admin comment: This version has been removed by arXiv administrators as the submitter did not have the rights to agree to the license at the time of submission
null
null
null
cs.RO
http://creativecommons.org/licenses/by/4.0/
Virtual scenario-based testing methods to validate autonomous driving systems are predominantly centred around collision avoidance, and lack a comprehensive approach to evaluate optimal driving behaviour holistically. Furthermore, current validation approaches do not align with authorisation and monitoring requiremen...
[ { "created": "Mon, 22 Jul 2024 12:40:06 GMT", "version": "v1" } ]
2024-08-01
[ [ "Reddy", "Kethan", "" ], [ "Nassif", "Elias", "" ], [ "Angeloudis", "Panagiotis", "" ], [ "Quddus", "Mohammed", "" ], [ "Ochieng", "Washington", "" ] ]
Virtual scenario-based testing methods to validate autonomous driving systems are predominantly centred around collision avoidance, and lack a comprehensive approach to evaluate optimal driving behaviour holistically. Furthermore, current validation approaches do not align with authorisation and monitoring requirements...
2404.12570
Yuhan Zhao
Yuhan Zhao, Lan Shi, Quanyan Zhu
Stackelberg Game-Theoretic Learning for Collaborative Assembly Task Planning
null
null
null
null
cs.RO cs.GT cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As assembly tasks grow in complexity, collaboration among multiple robots becomes essential for task completion. However, centralized task planning has become inadequate for adapting to the increasing intelligence and versatility of robots, along with rising customized orders. There is a need for efficient and automa...
[ { "created": "Fri, 19 Apr 2024 01:37:23 GMT", "version": "v1" } ]
2024-04-22
[ [ "Zhao", "Yuhan", "" ], [ "Shi", "Lan", "" ], [ "Zhu", "Quanyan", "" ] ]
As assembly tasks grow in complexity, collaboration among multiple robots becomes essential for task completion. However, centralized task planning has become inadequate for adapting to the increasing intelligence and versatility of robots, along with rising customized orders. There is a need for efficient and automate...
1809.03445
Jasper Kyle Catapang
Jasper Kyle Catapang
A collection of database industrial techniques and optimization approaches of database operations
null
null
10.5281/zenodo.1439511
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Databases play an essential role in our society today. Databases are embedded in sectors like corporations, institutions, and government organizations, among others. These databases are used for our video and audio streaming platforms, social gaming, finances, cloud storage, e-commerce, healthcare, economy, etc. It i...
[ { "created": "Mon, 10 Sep 2018 16:33:11 GMT", "version": "v1" } ]
2018-10-02
[ [ "Catapang", "Jasper Kyle", "" ] ]
Databases play an essential role in our society today. Databases are embedded in sectors like corporations, institutions, and government organizations, among others. These databases are used for our video and audio streaming platforms, social gaming, finances, cloud storage, e-commerce, healthcare, economy, etc. It is ...
1602.02490
Jan Egger
Jan Egger, Stefan Gro{\ss}kopf, Bernd Freisleben
Simulation of bifurcated stent grafts to treat abdominal aortic aneurysms (AAA)
6 pages, 5 figures, 5 equations, 9 references in Proc. SPIE 6509, Medical Imaging 2007: Visualization and Image-Guided Procedures, 65091N (22 March 2007)
null
10.1117/12.709260
null
cs.GR cs.CE cs.CG physics.med-ph q-bio.TO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper a method is introduced, to visualize bifurcated stent grafts in CT-Data. The aim is to improve therapy planning for minimal invasive treatment of abdominal aortic aneurysms (AAA). Due to precise measurement of the abdominal aortic aneurysm and exact simulation of the bifurcated stent graft, physicians a...
[ { "created": "Mon, 8 Feb 2016 08:09:06 GMT", "version": "v1" } ]
2016-02-09
[ [ "Egger", "Jan", "" ], [ "Großkopf", "Stefan", "" ], [ "Freisleben", "Bernd", "" ] ]
In this paper a method is introduced, to visualize bifurcated stent grafts in CT-Data. The aim is to improve therapy planning for minimal invasive treatment of abdominal aortic aneurysms (AAA). Due to precise measurement of the abdominal aortic aneurysm and exact simulation of the bifurcated stent graft, physicians are...
2407.19842
Jorge Garc\'ia-Carrasco
Jorge Garc\'ia-Carrasco, Alejandro Mat\'e, Juan Trujillo
Detecting and Understanding Vulnerabilities in Language Models via Mechanistic Interpretability
null
Proceedings of the Thirty-Third International Joint Converence on Artificial Intelligence, IJCAI 2024 (pp.385-393)
10.24963/ijcai.2024/43
null
cs.LG cs.CL cs.CR
http://creativecommons.org/licenses/by/4.0/
Large Language Models (LLMs), characterized by being trained on broad amounts of data in a self-supervised manner, have shown impressive performance across a wide range of tasks. Indeed, their generative abilities have aroused interest on the application of LLMs across a wide range of contexts. However, neural networ...
[ { "created": "Mon, 29 Jul 2024 09:55:34 GMT", "version": "v1" } ]
2024-07-30
[ [ "García-Carrasco", "Jorge", "" ], [ "Maté", "Alejandro", "" ], [ "Trujillo", "Juan", "" ] ]
Large Language Models (LLMs), characterized by being trained on broad amounts of data in a self-supervised manner, have shown impressive performance across a wide range of tasks. Indeed, their generative abilities have aroused interest on the application of LLMs across a wide range of contexts. However, neural networks...
2209.15566
Angelo Bratta
Angelo Bratta, Avadesh Meduri, Michele Focchi, Ludovic Righetti, and Claudio Semini
ContactNet: Online Multi-Contact Planning for Acyclic Legged Robot Locomotion
null
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In legged logomotion, online trajectory optimization techniques generally depend on heuristic-based contact planners in order to have low computation times and achieve high replanning frequencies. In this work, we propose ContactNet, a fast acyclic contact planner based on a multi-output regression neural network. Co...
[ { "created": "Fri, 30 Sep 2022 16:25:00 GMT", "version": "v1" }, { "created": "Mon, 6 Mar 2023 14:04:55 GMT", "version": "v2" }, { "created": "Thu, 2 May 2024 11:32:36 GMT", "version": "v3" } ]
2024-05-03
[ [ "Bratta", "Angelo", "" ], [ "Meduri", "Avadesh", "" ], [ "Focchi", "Michele", "" ], [ "Righetti", "Ludovic", "" ], [ "Semini", "Claudio", "" ] ]
In legged logomotion, online trajectory optimization techniques generally depend on heuristic-based contact planners in order to have low computation times and achieve high replanning frequencies. In this work, we propose ContactNet, a fast acyclic contact planner based on a multi-output regression neural network. Cont...
1111.2418
Dinesh C
C. Dinesh (Mailam Engineering College)
Data Integrity and Dynamic Storage Way in Cloud Computing
1 figure,6 pages, i am the only author for this title and related information
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
It is not an easy task to securely maintain all essential data where it has the need in many applications for clients in cloud. To maintain our data in cloud, it may not be fully trustworthy because client doesn't have copy of all stored data. But any authors don't tell us data integrity through its user and CSP leve...
[ { "created": "Thu, 10 Nov 2011 08:23:47 GMT", "version": "v1" } ]
2011-11-11
[ [ "Dinesh", "C.", "", "Mailam Engineering College" ] ]
It is not an easy task to securely maintain all essential data where it has the need in many applications for clients in cloud. To maintain our data in cloud, it may not be fully trustworthy because client doesn't have copy of all stored data. But any authors don't tell us data integrity through its user and CSP level ...
1810.01666
Mathieu Labussi\`ere
Mathieu Labussiere, Johann Laconte and Fran\c{c}ois Pomerleau
Geometry Preserving Sampling Method based on Spectral Decomposition for 3D Registration
7 pages, 4 figures, 3 tables
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the context of 3D mapping, larger and larger point clouds are acquired with LIDAR sensors. The Iterative Closest Point (ICP) algorithm is used to align these point clouds. However, its complexity is directly dependent of the number of points to process. Several strategies exist to address this problem by reducing ...
[ { "created": "Wed, 3 Oct 2018 09:59:17 GMT", "version": "v1" }, { "created": "Mon, 28 Jan 2019 13:27:00 GMT", "version": "v2" } ]
2019-01-29
[ [ "Labussiere", "Mathieu", "" ], [ "Laconte", "Johann", "" ], [ "Pomerleau", "François", "" ] ]
In the context of 3D mapping, larger and larger point clouds are acquired with LIDAR sensors. The Iterative Closest Point (ICP) algorithm is used to align these point clouds. However, its complexity is directly dependent of the number of points to process. Several strategies exist to address this problem by reducing th...
1806.01405
Aleksandar Prokopec
Aleksandar Prokopec, Fengyun Liu
On the Soundness of Coroutines with Snapshots
null
null
null
null
cs.PL
http://creativecommons.org/licenses/by/4.0/
Coroutines are a general control flow construct that can eliminate control flow fragmentation inherent in event-driven programs, and are still missing in many popular languages. Coroutines with snapshots are a first-class, type-safe, stackful coroutine model, which unifies many variants of suspendable computing, and ...
[ { "created": "Mon, 4 Jun 2018 21:49:33 GMT", "version": "v1" } ]
2018-06-06
[ [ "Prokopec", "Aleksandar", "" ], [ "Liu", "Fengyun", "" ] ]
Coroutines are a general control flow construct that can eliminate control flow fragmentation inherent in event-driven programs, and are still missing in many popular languages. Coroutines with snapshots are a first-class, type-safe, stackful coroutine model, which unifies many variants of suspendable computing, and is...
1811.11417
Ruixin Qiang
Shaddin Dughmi and David Kempe and Ruixin Qiang
Alea Iacta Est: Auctions, Persuasion, Interim Rules, and Dice
ITCS 2019
null
null
null
cs.GT
http://creativecommons.org/licenses/by/4.0/
To select a subset of samples or "winners" from a population of candidates, order sampling [Rosen 1997] and the k-unit Myerson auction [Myerson 1981] share a common scheme: assign a (random) score to each candidate, then select the k candidates with the highest scores. We study a generalization of both order sampling...
[ { "created": "Wed, 28 Nov 2018 07:27:17 GMT", "version": "v1" } ]
2018-11-29
[ [ "Dughmi", "Shaddin", "" ], [ "Kempe", "David", "" ], [ "Qiang", "Ruixin", "" ] ]
To select a subset of samples or "winners" from a population of candidates, order sampling [Rosen 1997] and the k-unit Myerson auction [Myerson 1981] share a common scheme: assign a (random) score to each candidate, then select the k candidates with the highest scores. We study a generalization of both order sampling a...
2205.00734
Olivier Carton
Olivier Carton, Sylvain Perifel
Deterministic pushdown automata can compress some normal sequences
null
null
null
null
cs.FL
http://creativecommons.org/licenses/by/4.0/
In this paper, we give a deterministic pushdown transducer and a normal sequence of digits compressed by it. This solves positively a question left open in a previous paper by V. Becher, P. A. Heiber and the first author.
[ { "created": "Mon, 2 May 2022 08:38:47 GMT", "version": "v1" }, { "created": "Sun, 18 Dec 2022 07:46:08 GMT", "version": "v2" }, { "created": "Wed, 15 Feb 2023 09:04:01 GMT", "version": "v3" }, { "created": "Mon, 3 Jul 2023 16:52:37 GMT", "version": "v4" }, { "cre...
2024-08-12
[ [ "Carton", "Olivier", "" ], [ "Perifel", "Sylvain", "" ] ]
In this paper, we give a deterministic pushdown transducer and a normal sequence of digits compressed by it. This solves positively a question left open in a previous paper by V. Becher, P. A. Heiber and the first author.
1807.08076
Stephanie Lukin
Stephanie M. Lukin, Kimberly A. Pollard, Claire Bonial, Matthew Marge, Cassidy Henry, Ron Arstein, David Traum, Clare R. Voss
Consequences and Factors of Stylistic Differences in Human-Robot Dialogue
Originally published in the Proceedings of the 19th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL), 2018
null
null
null
cs.CL cs.HC cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper identifies stylistic differences in instruction-giving observed in a corpus of human-robot dialogue. Differences in verbosity and structure (i.e., single-intent vs. multi-intent instructions) arose naturally without restrictions or prior guidance on how users should speak with the robot. Different styles w...
[ { "created": "Sat, 21 Jul 2018 03:21:56 GMT", "version": "v1" } ]
2018-07-24
[ [ "Lukin", "Stephanie M.", "" ], [ "Pollard", "Kimberly A.", "" ], [ "Bonial", "Claire", "" ], [ "Marge", "Matthew", "" ], [ "Henry", "Cassidy", "" ], [ "Arstein", "Ron", "" ], [ "Traum", "David", "" ], [...
This paper identifies stylistic differences in instruction-giving observed in a corpus of human-robot dialogue. Differences in verbosity and structure (i.e., single-intent vs. multi-intent instructions) arose naturally without restrictions or prior guidance on how users should speak with the robot. Different styles wer...
1509.03486
Todor Ivanov
Todor Ivanov and Sead Izberovic
Evaluating Hadoop Clusters with TPCx-HS
32 pages
null
null
Technical Report No. 2015-1
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The growing complexity and variety of Big Data platforms makes it both difficult and time consuming for all system users to properly setup and operate the systems. Another challenge is to compare the platforms in order to choose the most appropriate one for a particular application. All these factors motivate the nee...
[ { "created": "Fri, 11 Sep 2015 13:00:44 GMT", "version": "v1" }, { "created": "Sun, 4 Oct 2015 18:02:17 GMT", "version": "v2" }, { "created": "Tue, 27 Oct 2015 17:16:33 GMT", "version": "v3" } ]
2015-10-28
[ [ "Ivanov", "Todor", "" ], [ "Izberovic", "Sead", "" ] ]
The growing complexity and variety of Big Data platforms makes it both difficult and time consuming for all system users to properly setup and operate the systems. Another challenge is to compare the platforms in order to choose the most appropriate one for a particular application. All these factors motivate the need ...
2404.12854
Christian N\"ather
Christian N\"ather, Daniel Herzinger, Stefan-Lukas Gazdag, Jan-Philipp Stegh\"ofer, Simon Daum, Daniel Loebenberger
Migrating Software Systems towards Post-Quantum-Cryptography -- A Systematic Literature Review
2 figures, 12 tables, 21 pages
null
null
null
cs.CR
http://creativecommons.org/licenses/by/4.0/
Networks such as the Internet are essential for our connected world. Quantum computing poses a threat to this heterogeneous infrastructure since it threatens fundamental security mechanisms. Therefore, a migration to post-quantum-cryptography (PQC) is necessary for networks and their components. At the moment, there ...
[ { "created": "Fri, 19 Apr 2024 12:43:32 GMT", "version": "v1" }, { "created": "Mon, 24 Jun 2024 09:49:46 GMT", "version": "v2" } ]
2024-06-25
[ [ "Näther", "Christian", "" ], [ "Herzinger", "Daniel", "" ], [ "Gazdag", "Stefan-Lukas", "" ], [ "Steghöfer", "Jan-Philipp", "" ], [ "Daum", "Simon", "" ], [ "Loebenberger", "Daniel", "" ] ]
Networks such as the Internet are essential for our connected world. Quantum computing poses a threat to this heterogeneous infrastructure since it threatens fundamental security mechanisms. Therefore, a migration to post-quantum-cryptography (PQC) is necessary for networks and their components. At the moment, there is...
2105.06812
Adrian Schumacher
Adrian Schumacher, Ruben Merz, Andreas Burg
3.5 GHz Coverage Assessment with a 5G Testbed
Published at 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring)
2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring)
10.1109/VTCSpring.2019.8746551
null
cs.NI eess.SP
http://creativecommons.org/licenses/by-nc-nd/4.0/
Today, cellular networks have saturated frequencies below 3\,GHz. Because of increasing capacity requirements, 5th generation (5G) mobile networks target the 3.5\,GHz band (3.4 to 3.8\,GHz). Despite its expected wide usage, there is little empirical path loss data and mobile radio network planning experience for the ...
[ { "created": "Fri, 14 May 2021 13:16:56 GMT", "version": "v1" } ]
2021-05-17
[ [ "Schumacher", "Adrian", "" ], [ "Merz", "Ruben", "" ], [ "Burg", "Andreas", "" ] ]
Today, cellular networks have saturated frequencies below 3\,GHz. Because of increasing capacity requirements, 5th generation (5G) mobile networks target the 3.5\,GHz band (3.4 to 3.8\,GHz). Despite its expected wide usage, there is little empirical path loss data and mobile radio network planning experience for the 3....
1004.4438
Alexandros Dimakis
Alexandros G. Dimakis, Kannan Ramchandran, Yunnan Wu, Changho Suh
A Survey on Network Codes for Distributed Storage
13 pages, 11 figures.
null
null
null
cs.IT cs.DC cs.NI math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Distributed storage systems often introduce redundancy to increase reliability. When coding is used, the repair problem arises: if a node storing encoded information fails, in order to maintain the same level of reliability we need to create encoded information at a new node. This amounts to a partial recovery of the...
[ { "created": "Mon, 26 Apr 2010 08:59:38 GMT", "version": "v1" } ]
2010-04-27
[ [ "Dimakis", "Alexandros G.", "" ], [ "Ramchandran", "Kannan", "" ], [ "Wu", "Yunnan", "" ], [ "Suh", "Changho", "" ] ]
Distributed storage systems often introduce redundancy to increase reliability. When coding is used, the repair problem arises: if a node storing encoded information fails, in order to maintain the same level of reliability we need to create encoded information at a new node. This amounts to a partial recovery of the c...
2406.18841
Saleh Afroogh
Junfeng Jiao, Saleh Afroogh, Yiming Xu, Connor Phillips
Navigating LLM Ethics: Advancements, Challenges, and Future Directions
null
null
null
null
cs.CY cs.AI cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This study addresses ethical issues surrounding Large Language Models (LLMs) within the field of artificial intelligence. It explores the common ethical challenges posed by both LLMs and other AI systems, such as privacy and fairness, as well as ethical challenges uniquely arising from LLMs. It highlights challenges ...
[ { "created": "Tue, 14 May 2024 15:03:05 GMT", "version": "v1" }, { "created": "Fri, 28 Jun 2024 02:56:09 GMT", "version": "v2" } ]
2024-07-01
[ [ "Jiao", "Junfeng", "" ], [ "Afroogh", "Saleh", "" ], [ "Xu", "Yiming", "" ], [ "Phillips", "Connor", "" ] ]
This study addresses ethical issues surrounding Large Language Models (LLMs) within the field of artificial intelligence. It explores the common ethical challenges posed by both LLMs and other AI systems, such as privacy and fairness, as well as ethical challenges uniquely arising from LLMs. It highlights challenges su...
1806.11053
Filipo Sharevski
Filipo Sharevski and Sharief Oteafy
Security for Cyber-Physical Systems: Leveraging Cellular Networks and Fog Computing
IEEE CNS 2018
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The reach and scale of Cyber Physical Systems (CPS) are expanding to many aspects of our everyday lives. Health, safety, transportation and education are a few areas where CPS are increasingly prevalent. There is a pressing need to secure CPS, both at the edge and at the network core. We present a hybrid framework fo...
[ { "created": "Thu, 28 Jun 2018 16:12:51 GMT", "version": "v1" } ]
2018-06-29
[ [ "Sharevski", "Filipo", "" ], [ "Oteafy", "Sharief", "" ] ]
The reach and scale of Cyber Physical Systems (CPS) are expanding to many aspects of our everyday lives. Health, safety, transportation and education are a few areas where CPS are increasingly prevalent. There is a pressing need to secure CPS, both at the edge and at the network core. We present a hybrid framework for ...
2308.09458
Joao Ferreira
Nuno Saavedra, Jo\~ao Gon\c{c}alves, Miguel Henriques, Jo\~ao F. Ferreira, and Alexandra Mendes
Polyglot Code Smell Detection for Infrastructure as Code with GLITCH
null
null
null
null
cs.CR cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents GLITCH, a new technology-agnostic framework that enables automated polyglot code smell detection for Infrastructure as Code scripts. GLITCH uses an intermediate representation on which different code smell detectors can be defined. It currently supports the detection of nine security smells and ni...
[ { "created": "Fri, 18 Aug 2023 10:44:47 GMT", "version": "v1" } ]
2023-08-21
[ [ "Saavedra", "Nuno", "" ], [ "Gonçalves", "João", "" ], [ "Henriques", "Miguel", "" ], [ "Ferreira", "João F.", "" ], [ "Mendes", "Alexandra", "" ] ]
This paper presents GLITCH, a new technology-agnostic framework that enables automated polyglot code smell detection for Infrastructure as Code scripts. GLITCH uses an intermediate representation on which different code smell detectors can be defined. It currently supports the detection of nine security smells and nine...
1411.2047
James Cadek
Stephen Romansky
Investigation of the relationship between code change set n-grams and change in energy consumption
17 pages, 7 figures
null
null
null
cs.PF cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The amount of software running on mobile devices is constantly growing as consumers and industry purchase more battery powered devices. On the other hand, tools that provide developers with feed- back on how their software changes affect battery life are not widely available. This work employs Green Mining, the study...
[ { "created": "Fri, 7 Nov 2014 22:05:16 GMT", "version": "v1" } ]
2016-11-04
[ [ "Romansky", "Stephen", "" ] ]
The amount of software running on mobile devices is constantly growing as consumers and industry purchase more battery powered devices. On the other hand, tools that provide developers with feed- back on how their software changes affect battery life are not widely available. This work employs Green Mining, the study o...
1409.3081
Martin Gro{\ss}
Ashwin Arulselvan, Martin Gro{\ss}, Martin Skutella
Graph Orientation and Flows Over Time
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Flows over time are used to model many real-world logistic and routing problems. The networks underlying such problems -- streets, tracks, etc. -- are inherently undirected and directions are only imposed on them to reduce the danger of colliding vehicles and similar problems. Thus the question arises, what influence...
[ { "created": "Wed, 10 Sep 2014 14:18:28 GMT", "version": "v1" }, { "created": "Fri, 12 Sep 2014 10:57:46 GMT", "version": "v2" }, { "created": "Thu, 2 Oct 2014 09:23:20 GMT", "version": "v3" } ]
2014-10-03
[ [ "Arulselvan", "Ashwin", "" ], [ "Groß", "Martin", "" ], [ "Skutella", "Martin", "" ] ]
Flows over time are used to model many real-world logistic and routing problems. The networks underlying such problems -- streets, tracks, etc. -- are inherently undirected and directions are only imposed on them to reduce the danger of colliding vehicles and similar problems. Thus the question arises, what influence t...
2011.00330
Brijen Thananjeyan
Brijen Thananjeyan, Kirthevasan Kandasamy, Ion Stoica, Michael I. Jordan, Ken Goldberg, Joseph E. Gonzalez
Resource Allocation in Multi-armed Bandit Exploration: Overcoming Sublinear Scaling with Adaptive Parallelism
Accepted to ICML 2021
null
null
null
cs.LG cs.AI cs.DC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study exploration in stochastic multi-armed bandits when we have access to a divisible resource that can be allocated in varying amounts to arm pulls. We focus in particular on the allocation of distributed computing resources, where we may obtain results faster by allocating more resources per pull, but might hav...
[ { "created": "Sat, 31 Oct 2020 18:19:29 GMT", "version": "v1" }, { "created": "Sat, 5 Jun 2021 19:25:31 GMT", "version": "v2" } ]
2021-06-08
[ [ "Thananjeyan", "Brijen", "" ], [ "Kandasamy", "Kirthevasan", "" ], [ "Stoica", "Ion", "" ], [ "Jordan", "Michael I.", "" ], [ "Goldberg", "Ken", "" ], [ "Gonzalez", "Joseph E.", "" ] ]
We study exploration in stochastic multi-armed bandits when we have access to a divisible resource that can be allocated in varying amounts to arm pulls. We focus in particular on the allocation of distributed computing resources, where we may obtain results faster by allocating more resources per pull, but might have ...
1608.07444
Qin Zou
Qin Zou, Zheng Zhang, Qian Wang, Qingquan Li, Long Chen, Song Wang
Who Leads the Clothing Fashion: Style, Color, or Texture? A Computational Study
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
It is well known that clothing fashion is a distinctive and often habitual trend in the style in which a person dresses. Clothing fashions are usually expressed with visual stimuli such as style, color, and texture. However, it is not clear which visual stimulus places higher/lower influence on the updating of clothi...
[ { "created": "Fri, 26 Aug 2016 12:53:56 GMT", "version": "v1" } ]
2016-08-29
[ [ "Zou", "Qin", "" ], [ "Zhang", "Zheng", "" ], [ "Wang", "Qian", "" ], [ "Li", "Qingquan", "" ], [ "Chen", "Long", "" ], [ "Wang", "Song", "" ] ]
It is well known that clothing fashion is a distinctive and often habitual trend in the style in which a person dresses. Clothing fashions are usually expressed with visual stimuli such as style, color, and texture. However, it is not clear which visual stimulus places higher/lower influence on the updating of clothing...
1707.00018
Duin Back
Duin Back, Bong Jun Choi, Jing Chen
Small Profits and Quick Returns: A Practical SocialWelfare Maximizing Incentive Mechanism for Deadline-Sensitive Tasks in Crowdsourcing
2 pages, HCOMP 2017 Work-in-Progress paper
null
null
null
cs.HC cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As the driving force of crowdsourcing is the interaction among participants, various incentive mechanisms have been proposed to attract sufficient participants. However, the existing works assume that all the providers always meet the deadline and the task value accordingly remains constant. To bridge the gap of such...
[ { "created": "Fri, 30 Jun 2017 18:30:38 GMT", "version": "v1" } ]
2017-07-04
[ [ "Back", "Duin", "" ], [ "Choi", "Bong Jun", "" ], [ "Chen", "Jing", "" ] ]
As the driving force of crowdsourcing is the interaction among participants, various incentive mechanisms have been proposed to attract sufficient participants. However, the existing works assume that all the providers always meet the deadline and the task value accordingly remains constant. To bridge the gap of such i...
1907.13319
Mosab Khayat
Mosab Khayat, Morteza Karimzadeh, Jieqiong Zhao, David S. Ebert
VASSL: A Visual Analytics Toolkit for Social Spambot Labeling
IEEE VIS (VAST) 2019
null
10.1109/TVCG.2019.2934266
null
cs.HC cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Social media platforms such as Twitter are filled with social spambots. Detecting these malicious accounts is essential, yet challenging, as they continually evolve and evade traditional detection techniques. In this work, we propose VASSL, a visual analytics system that assists in the process of detecting and labeli...
[ { "created": "Wed, 31 Jul 2019 06:05:55 GMT", "version": "v1" }, { "created": "Mon, 7 Oct 2019 23:53:55 GMT", "version": "v2" } ]
2019-10-09
[ [ "Khayat", "Mosab", "" ], [ "Karimzadeh", "Morteza", "" ], [ "Zhao", "Jieqiong", "" ], [ "Ebert", "David S.", "" ] ]
Social media platforms such as Twitter are filled with social spambots. Detecting these malicious accounts is essential, yet challenging, as they continually evolve and evade traditional detection techniques. In this work, we propose VASSL, a visual analytics system that assists in the process of detecting and labeling...
1910.10682
Deepak Bhaskar Acharya
Deepak Bhaskar Acharya, Dr. Huaming Zhang
Feature Selection and Extraction for Graph Neural Networks
null
null
null
null
cs.LG cs.SI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Graph Neural Networks (GNNs) have been a latest hot research topic in data science, due to the fact that they use the ubiquitous data structure graphs as the underlying elements for constructing and training neural networks. In a GNN, each node has numerous features associated with it. The entire task (for example, c...
[ { "created": "Wed, 23 Oct 2019 17:35:55 GMT", "version": "v1" }, { "created": "Fri, 25 Oct 2019 00:03:52 GMT", "version": "v2" } ]
2019-10-28
[ [ "Acharya", "Deepak Bhaskar", "" ], [ "Zhang", "Dr. Huaming", "" ] ]
Graph Neural Networks (GNNs) have been a latest hot research topic in data science, due to the fact that they use the ubiquitous data structure graphs as the underlying elements for constructing and training neural networks. In a GNN, each node has numerous features associated with it. The entire task (for example, cla...
2212.07595
Kuan Xu
Kuan Xu, Yuefan Hao, Shenghai Yuan, Chen Wang, Lihua Xie
AirVO: An Illumination-Robust Point-Line Visual Odometry
null
null
10.1109/IROS55552.2023.10341914
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper proposes an illumination-robust visual odometry (VO) system that incorporates both accelerated learning-based corner point algorithms and an extended line feature algorithm. To be robust to dynamic illumination, the proposed system employs the convolutional neural network (CNN) and graph neural network (GN...
[ { "created": "Thu, 15 Dec 2022 02:55:12 GMT", "version": "v1" }, { "created": "Thu, 2 Mar 2023 01:52:31 GMT", "version": "v2" }, { "created": "Fri, 4 Aug 2023 08:11:33 GMT", "version": "v3" } ]
2023-12-20
[ [ "Xu", "Kuan", "" ], [ "Hao", "Yuefan", "" ], [ "Yuan", "Shenghai", "" ], [ "Wang", "Chen", "" ], [ "Xie", "Lihua", "" ] ]
This paper proposes an illumination-robust visual odometry (VO) system that incorporates both accelerated learning-based corner point algorithms and an extended line feature algorithm. To be robust to dynamic illumination, the proposed system employs the convolutional neural network (CNN) and graph neural network (GNN)...
2108.09603
Taimur Hassan
Taimur Hassan and Samet Akcay and Mohammed Bennamoun and Salman Khan and Naoufel Werghi
Tensor Pooling Driven Instance Segmentation Framework for Baggage Threat Recognition
Accepted in Neural Computing and Applications. Source code is available at https://github.com/taimurhassan/tensorpooling
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Automated systems designed for screening contraband items from the X-ray imagery are still facing difficulties with high clutter, concealment, and extreme occlusion. In this paper, we addressed this challenge using a novel multi-scale contour instance segmentation framework that effectively identifies the cluttered c...
[ { "created": "Sun, 22 Aug 2021 00:04:58 GMT", "version": "v1" }, { "created": "Tue, 21 Sep 2021 07:10:43 GMT", "version": "v2" } ]
2021-09-22
[ [ "Hassan", "Taimur", "" ], [ "Akcay", "Samet", "" ], [ "Bennamoun", "Mohammed", "" ], [ "Khan", "Salman", "" ], [ "Werghi", "Naoufel", "" ] ]
Automated systems designed for screening contraband items from the X-ray imagery are still facing difficulties with high clutter, concealment, and extreme occlusion. In this paper, we addressed this challenge using a novel multi-scale contour instance segmentation framework that effectively identifies the cluttered con...
1909.13868
Alexander Mathis
Mackenzie W. Mathis and Alexander Mathis
Deep learning tools for the measurement of animal behavior in neuroscience
11 pages, 3 figures, review
Current Opinion in Neurobiology Volume 60, February 2020, Pages 1-11
10.1016/j.conb.2019.10.008
null
cs.CV q-bio.NC q-bio.QM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent advances in computer vision have made accurate, fast and robust measurement of animal behavior a reality. In the past years powerful tools specifically designed to aid the measurement of behavior have come to fruition. Here we discuss how capturing the postures of animals - pose estimation - has been rapidly a...
[ { "created": "Mon, 30 Sep 2019 17:50:48 GMT", "version": "v1" }, { "created": "Fri, 18 Oct 2019 17:40:30 GMT", "version": "v2" } ]
2020-07-14
[ [ "Mathis", "Mackenzie W.", "" ], [ "Mathis", "Alexander", "" ] ]
Recent advances in computer vision have made accurate, fast and robust measurement of animal behavior a reality. In the past years powerful tools specifically designed to aid the measurement of behavior have come to fruition. Here we discuss how capturing the postures of animals - pose estimation - has been rapidly adv...
2209.09301
Nathan P. Lawrence
Daniel G. McClement, Nathan P. Lawrence, Michael G. Forbes, Philip D. Loewen, Johan U. Backstr\"om, R. Bhushan Gopaluni
Meta-Reinforcement Learning for Adaptive Control of Second Order Systems
AdCONIP 2022. arXiv admin note: substantial text overlap with arXiv:2203.09661
null
null
null
cs.LG cs.AI cs.SY eess.SY
http://creativecommons.org/licenses/by/4.0/
Meta-learning is a branch of machine learning which aims to synthesize data from a distribution of related tasks to efficiently solve new ones. In process control, many systems have similar and well-understood dynamics, which suggests it is feasible to create a generalizable controller through meta-learning. In this ...
[ { "created": "Mon, 19 Sep 2022 18:51:33 GMT", "version": "v1" } ]
2022-09-21
[ [ "McClement", "Daniel G.", "" ], [ "Lawrence", "Nathan P.", "" ], [ "Forbes", "Michael G.", "" ], [ "Loewen", "Philip D.", "" ], [ "Backström", "Johan U.", "" ], [ "Gopaluni", "R. Bhushan", "" ] ]
Meta-learning is a branch of machine learning which aims to synthesize data from a distribution of related tasks to efficiently solve new ones. In process control, many systems have similar and well-understood dynamics, which suggests it is feasible to create a generalizable controller through meta-learning. In this wo...
1908.09324
Xu Tan
Xu Tan, Jiale Chen, Di He, Yingce Xia, Tao Qin and Tie-Yan Liu
Multilingual Neural Machine Translation with Language Clustering
Accepted by EMNLP 2019
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multilingual neural machine translation (NMT), which translates multiple languages using a single model, is of great practical importance due to its advantages in simplifying the training process, reducing online maintenance costs, and enhancing low-resource and zero-shot translation. Given there are thousands of lan...
[ { "created": "Sun, 25 Aug 2019 13:27:57 GMT", "version": "v1" } ]
2019-08-27
[ [ "Tan", "Xu", "" ], [ "Chen", "Jiale", "" ], [ "He", "Di", "" ], [ "Xia", "Yingce", "" ], [ "Qin", "Tao", "" ], [ "Liu", "Tie-Yan", "" ] ]
Multilingual neural machine translation (NMT), which translates multiple languages using a single model, is of great practical importance due to its advantages in simplifying the training process, reducing online maintenance costs, and enhancing low-resource and zero-shot translation. Given there are thousands of langu...
1412.6806
Alexey Dosovitskiy
Jost Tobias Springenberg, Alexey Dosovitskiy, Thomas Brox, Martin Riedmiller
Striving for Simplicity: The All Convolutional Net
accepted to ICLR-2015 workshop track; no changes other than style
null
null
null
cs.LG cs.CV cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Most modern convolutional neural networks (CNNs) used for object recognition are built using the same principles: Alternating convolution and max-pooling layers followed by a small number of fully connected layers. We re-evaluate the state of the art for object recognition from small images with convolutional network...
[ { "created": "Sun, 21 Dec 2014 16:16:37 GMT", "version": "v1" }, { "created": "Mon, 2 Mar 2015 21:44:06 GMT", "version": "v2" }, { "created": "Mon, 13 Apr 2015 07:58:17 GMT", "version": "v3" } ]
2015-04-14
[ [ "Springenberg", "Jost Tobias", "" ], [ "Dosovitskiy", "Alexey", "" ], [ "Brox", "Thomas", "" ], [ "Riedmiller", "Martin", "" ] ]
Most modern convolutional neural networks (CNNs) used for object recognition are built using the same principles: Alternating convolution and max-pooling layers followed by a small number of fully connected layers. We re-evaluate the state of the art for object recognition from small images with convolutional networks,...
2402.05969
Michael Guerzhoy
Chunsheng Zuo, Michael Guerzhoy
Breaking Symmetry When Training Transformers
null
null
null
null
cs.LG cs.CL
http://creativecommons.org/licenses/by/4.0/
As we show in this paper, the prediction for output token $n+1$ of Transformer architectures without one of the mechanisms of positional encodings and causal attention is invariant to permutations of input tokens $1, 2, ..., n-1$. Usually, both mechanisms are employed and the symmetry with respect to the input tokens...
[ { "created": "Tue, 6 Feb 2024 00:32:28 GMT", "version": "v1" }, { "created": "Sun, 16 Jun 2024 22:18:36 GMT", "version": "v2" } ]
2024-06-18
[ [ "Zuo", "Chunsheng", "" ], [ "Guerzhoy", "Michael", "" ] ]
As we show in this paper, the prediction for output token $n+1$ of Transformer architectures without one of the mechanisms of positional encodings and causal attention is invariant to permutations of input tokens $1, 2, ..., n-1$. Usually, both mechanisms are employed and the symmetry with respect to the input tokens i...
2403.19346
Jingyuan Ma
Jingyuan Ma, Damai Dai, Lei Sha, Zhifang Sui
Large Language Models Are Unconscious of Unreasonability in Math Problems
11 pages, 3 figures
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large language models (LLMs) demonstrate substantial capabilities in solving math problems. However, they tend to produce hallucinations when given questions containing unreasonable errors. In this paper, we study the behavior of LLMs when faced with unreasonable math problems and further explore their potential to a...
[ { "created": "Thu, 28 Mar 2024 12:04:28 GMT", "version": "v1" }, { "created": "Tue, 16 Apr 2024 13:53:47 GMT", "version": "v2" } ]
2024-04-17
[ [ "Ma", "Jingyuan", "" ], [ "Dai", "Damai", "" ], [ "Sha", "Lei", "" ], [ "Sui", "Zhifang", "" ] ]
Large language models (LLMs) demonstrate substantial capabilities in solving math problems. However, they tend to produce hallucinations when given questions containing unreasonable errors. In this paper, we study the behavior of LLMs when faced with unreasonable math problems and further explore their potential to add...
2008.01808
Nicolas Gonthier
Nicolas Gonthier and Yann Gousseau and Sa\"id Ladjal
High resolution neural texture synthesis with long range constraints
25 pages, 18 figures. LOW RESOLUTION PDF: Images may show compression artifacts
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The field of texture synthesis has witnessed important progresses over the last years, most notably through the use of Convolutional Neural Networks. However, neural synthesis methods still struggle to reproduce large scale structures, especially with high resolution textures. To address this issue, we first introduc...
[ { "created": "Tue, 4 Aug 2020 20:11:27 GMT", "version": "v1" } ]
2020-08-06
[ [ "Gonthier", "Nicolas", "" ], [ "Gousseau", "Yann", "" ], [ "Ladjal", "Saïd", "" ] ]
The field of texture synthesis has witnessed important progresses over the last years, most notably through the use of Convolutional Neural Networks. However, neural synthesis methods still struggle to reproduce large scale structures, especially with high resolution textures. To address this issue, we first introduce ...
1906.02266
Curtis McCord
Curtis McCord, Christoph Becker
Sidewalk and Toronto: Critical Systems Heuristics and the Smart City
1 figure
null
null
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
`Smart cities', urban development projects that design computational systems and sensory technology to monitor activity and regulate energy consumption and resource distribution, are a frontier for the prospective deployment of ICTs for sustainability. Often reduced to technological problems of optimization, these pr...
[ { "created": "Wed, 5 Jun 2019 19:28:04 GMT", "version": "v1" } ]
2019-06-07
[ [ "McCord", "Curtis", "" ], [ "Becker", "Christoph", "" ] ]
`Smart cities', urban development projects that design computational systems and sensory technology to monitor activity and regulate energy consumption and resource distribution, are a frontier for the prospective deployment of ICTs for sustainability. Often reduced to technological problems of optimization, these proj...
2012.01983
Mahmoud Badr
Mahmoud M. Badr, Mohamed I. Ibrahem, Mohamed Mahmoud, Mostafa M. Fouda, Waleed Alasmary
Detection of False-Reading Attacks in the AMI Net-Metering System
null
null
null
null
cs.CR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In smart grid, malicious customers may compromise their smart meters (SMs) to report false readings to achieve financial gains illegally. Reporting false readings not only causes hefty financial losses to the utility but may also degrade the grid performance because the reported readings are used for energy managemen...
[ { "created": "Wed, 2 Dec 2020 07:40:02 GMT", "version": "v1" } ]
2020-12-04
[ [ "Badr", "Mahmoud M.", "" ], [ "Ibrahem", "Mohamed I.", "" ], [ "Mahmoud", "Mohamed", "" ], [ "Fouda", "Mostafa M.", "" ], [ "Alasmary", "Waleed", "" ] ]
In smart grid, malicious customers may compromise their smart meters (SMs) to report false readings to achieve financial gains illegally. Reporting false readings not only causes hefty financial losses to the utility but may also degrade the grid performance because the reported readings are used for energy management....
2203.15144
Ashish Sharma
Ashish Sharma, Inna W. Lin, Adam S. Miner, David C. Atkins, Tim Althoff
Human-AI Collaboration Enables More Empathic Conversations in Text-based Peer-to-Peer Mental Health Support
null
null
null
null
cs.CL cs.HC cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Advances in artificial intelligence (AI) are enabling systems that augment and collaborate with humans to perform simple, mechanistic tasks like scheduling meetings and grammar-checking text. However, such Human-AI collaboration poses challenges for more complex, creative tasks, such as carrying out empathic conversa...
[ { "created": "Mon, 28 Mar 2022 23:37:08 GMT", "version": "v1" } ]
2022-03-30
[ [ "Sharma", "Ashish", "" ], [ "Lin", "Inna W.", "" ], [ "Miner", "Adam S.", "" ], [ "Atkins", "David C.", "" ], [ "Althoff", "Tim", "" ] ]
Advances in artificial intelligence (AI) are enabling systems that augment and collaborate with humans to perform simple, mechanistic tasks like scheduling meetings and grammar-checking text. However, such Human-AI collaboration poses challenges for more complex, creative tasks, such as carrying out empathic conversati...
2107.02965
Jason Orlosky
Jason Orlosky, Misha Sra, Kenan Bekta\c{s}, Huaishu Peng, Jeeeun Kim, Nataliya Kos'myna, Tobias Hollerer, Anthony Steed, Kiyoshi Kiyokawa, Kaan Ak\c{s}it
Telelife: The Future of Remote Living
null
null
null
null
cs.HC
http://creativecommons.org/licenses/by-sa/4.0/
In recent years, everyday activities such as work and socialization have steadily shifted to more remote and virtual settings. With the COVID-19 pandemic, the switch from physical to virtual has been accelerated, which has substantially affected various aspects of our lives, including business, education, commerce, h...
[ { "created": "Wed, 7 Jul 2021 01:05:27 GMT", "version": "v1" } ]
2021-07-08
[ [ "Orlosky", "Jason", "" ], [ "Sra", "Misha", "" ], [ "Bektaş", "Kenan", "" ], [ "Peng", "Huaishu", "" ], [ "Kim", "Jeeeun", "" ], [ "Kos'myna", "Nataliya", "" ], [ "Hollerer", "Tobias", "" ], [ "Stee...
In recent years, everyday activities such as work and socialization have steadily shifted to more remote and virtual settings. With the COVID-19 pandemic, the switch from physical to virtual has been accelerated, which has substantially affected various aspects of our lives, including business, education, commerce, hea...
2003.10064
Pingcheng Ruan
Pingcheng Ruan, Dumitrel Loghin, Quang-Trung Ta, Meihui Zhang, Gang Chen, Beng Chin Ooi
A Transactional Perspective on Execute-order-validate Blockchains
null
null
null
null
cs.DC cs.DB cs.PF
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Smart contracts have enabled blockchain systems to evolve from simple cryptocurrency platforms, such as Bitcoin, to general transactional systems, such as Ethereum. Catering for emerging business requirements, a new architecture called execute-order-validate has been proposed in Hyperledger Fabric to support parallel...
[ { "created": "Mon, 23 Mar 2020 03:30:45 GMT", "version": "v1" } ]
2020-03-24
[ [ "Ruan", "Pingcheng", "" ], [ "Loghin", "Dumitrel", "" ], [ "Ta", "Quang-Trung", "" ], [ "Zhang", "Meihui", "" ], [ "Chen", "Gang", "" ], [ "Ooi", "Beng Chin", "" ] ]
Smart contracts have enabled blockchain systems to evolve from simple cryptocurrency platforms, such as Bitcoin, to general transactional systems, such as Ethereum. Catering for emerging business requirements, a new architecture called execute-order-validate has been proposed in Hyperledger Fabric to support parallel t...
2208.07722
Jingru Zhu
Jingru Zhu, Ya Guo, Geng Sun, Libo Yang, Min Deng, Jie Chen
Unsupervised domain adaptation semantic segmentation of high-resolution remote sensing imagery with invariant domain-level prototype memory
17 pages, 12 figures and 8 tables
IEEE Transactions on Geoscience and Remote Sensing, 2023
10.1109/TGRS.2023.3243042
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Semantic segmentation is a key technique involved in automatic interpretation of high-resolution remote sensing (HRS) imagery and has drawn much attention in the remote sensing community. Deep convolutional neural networks (DCNNs) have been successfully applied to the HRS imagery semantic segmentation task due to the...
[ { "created": "Tue, 16 Aug 2022 12:35:57 GMT", "version": "v1" }, { "created": "Tue, 14 Feb 2023 07:42:51 GMT", "version": "v2" } ]
2023-02-15
[ [ "Zhu", "Jingru", "" ], [ "Guo", "Ya", "" ], [ "Sun", "Geng", "" ], [ "Yang", "Libo", "" ], [ "Deng", "Min", "" ], [ "Chen", "Jie", "" ] ]
Semantic segmentation is a key technique involved in automatic interpretation of high-resolution remote sensing (HRS) imagery and has drawn much attention in the remote sensing community. Deep convolutional neural networks (DCNNs) have been successfully applied to the HRS imagery semantic segmentation task due to their...
2004.08160
Frank Nielsen
Frank Nielsen
Hilbert geometry of the Siegel disk: The Siegel-Klein disk model
42 pages, 7 figures
Entropy 2020, 22(9), 1019
10.3390/e22091019
null
cs.CG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the Hilbert geometry induced by the Siegel disk domain, an open bounded convex set of complex square matrices of operator norm strictly less than one. This Hilbert geometry yields a generalization of the Klein disk model of hyperbolic geometry, henceforth called the Siegel-Klein disk model to differentiate i...
[ { "created": "Fri, 17 Apr 2020 10:36:54 GMT", "version": "v1" }, { "created": "Mon, 27 Apr 2020 06:21:11 GMT", "version": "v2" }, { "created": "Fri, 1 May 2020 04:19:39 GMT", "version": "v3" }, { "created": "Thu, 20 Aug 2020 05:29:53 GMT", "version": "v4" }, { "cr...
2020-10-01
[ [ "Nielsen", "Frank", "" ] ]
We study the Hilbert geometry induced by the Siegel disk domain, an open bounded convex set of complex square matrices of operator norm strictly less than one. This Hilbert geometry yields a generalization of the Klein disk model of hyperbolic geometry, henceforth called the Siegel-Klein disk model to differentiate it ...