id
stringlengths
9
10
submitter
stringlengths
1
64
authors
stringlengths
4
20.7k
title
stringlengths
4
246
comments
stringlengths
1
523
journal-ref
stringlengths
4
404
doi
stringlengths
11
153
report-no
stringlengths
2
254
categories
stringlengths
5
98
license
stringclasses
9 values
orig_abstract
stringlengths
14
3.35k
versions
listlengths
1
60
update_date
stringlengths
10
10
authors_parsed
listlengths
1
1.35k
abstract
stringlengths
11
3.34k
2308.06721
Hu Ye
Hu Ye, Jun Zhang, Sibo Liu, Xiao Han, Wei Yang
IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models
null
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent years have witnessed the strong power of large text-to-image diffusion models for the impressive generative capability to create high-fidelity images. However, it is very tricky to generate desired images using only text prompt as it often involves complex prompt engineering. An alternative to text prompt is i...
[ { "created": "Sun, 13 Aug 2023 08:34:51 GMT", "version": "v1" } ]
2023-08-15
[ [ "Ye", "Hu", "" ], [ "Zhang", "Jun", "" ], [ "Liu", "Sibo", "" ], [ "Han", "Xiao", "" ], [ "Yang", "Wei", "" ] ]
Recent years have witnessed the strong power of large text-to-image diffusion models for the impressive generative capability to create high-fidelity images. However, it is very tricky to generate desired images using only text prompt as it often involves complex prompt engineering. An alternative to text prompt is ima...
2403.08738
Amit Meghanani
Amit Meghanani and Thomas Hain
Improving Acoustic Word Embeddings through Correspondence Training of Self-supervised Speech Representations
Accepted to EACL 2024 Main Conference, Long paper
null
null
null
cs.CL cs.SD eess.AS
http://creativecommons.org/licenses/by/4.0/
Acoustic word embeddings (AWEs) are vector representations of spoken words. An effective method for obtaining AWEs is the Correspondence Auto-Encoder (CAE). In the past, the CAE method has been associated with traditional MFCC features. Representations obtained from self-supervised learning (SSL)-based speech models ...
[ { "created": "Wed, 13 Mar 2024 17:42:03 GMT", "version": "v1" } ]
2024-03-14
[ [ "Meghanani", "Amit", "" ], [ "Hain", "Thomas", "" ] ]
Acoustic word embeddings (AWEs) are vector representations of spoken words. An effective method for obtaining AWEs is the Correspondence Auto-Encoder (CAE). In the past, the CAE method has been associated with traditional MFCC features. Representations obtained from self-supervised learning (SSL)-based speech models su...
2209.13834
Tongda Xu
Tongda Xu, Yan Wang, Dailan He, Chenjian Gao, Han Gao, Kunzan Liu, Hongwei Qin
Multi-Sample Training for Neural Image Compression
NeurIPS 2022
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
This paper considers the problem of lossy neural image compression (NIC). Current state-of-the-art (sota) methods adopt uniform posterior to approximate quantization noise, and single-sample pathwise estimator to approximate the gradient of evidence lower bound (ELBO). In this paper, we propose to train NIC with mult...
[ { "created": "Wed, 28 Sep 2022 04:42:02 GMT", "version": "v1" } ]
2022-09-29
[ [ "Xu", "Tongda", "" ], [ "Wang", "Yan", "" ], [ "He", "Dailan", "" ], [ "Gao", "Chenjian", "" ], [ "Gao", "Han", "" ], [ "Liu", "Kunzan", "" ], [ "Qin", "Hongwei", "" ] ]
This paper considers the problem of lossy neural image compression (NIC). Current state-of-the-art (sota) methods adopt uniform posterior to approximate quantization noise, and single-sample pathwise estimator to approximate the gradient of evidence lower bound (ELBO). In this paper, we propose to train NIC with multip...
2210.10981
Liangrui Pan
Liangrui Pan, Lian Wang, Zhichao Feng, Zhujun Xu, Liwen Xu, Shaoliang Peng
MGTUNet: An new UNet for colon nuclei instance segmentation and quantification
Published in BIBM2022(regular paper),https://doi.org/10.1109/BIBM55620.2022.9995669
null
null
null
cs.CV cs.GT
http://creativecommons.org/licenses/by/4.0/
Colorectal cancer (CRC) is among the top three malignant tumor types in terms of morbidity and mortality. Histopathological images are the gold standard for diagnosing colon cancer. Cellular nuclei instance segmentation and classification, and nuclear component regression tasks can aid in the analysis of the tumor mi...
[ { "created": "Thu, 20 Oct 2022 03:00:40 GMT", "version": "v1" }, { "created": "Fri, 26 Jan 2024 13:55:37 GMT", "version": "v2" } ]
2024-01-29
[ [ "Pan", "Liangrui", "" ], [ "Wang", "Lian", "" ], [ "Feng", "Zhichao", "" ], [ "Xu", "Zhujun", "" ], [ "Xu", "Liwen", "" ], [ "Peng", "Shaoliang", "" ] ]
Colorectal cancer (CRC) is among the top three malignant tumor types in terms of morbidity and mortality. Histopathological images are the gold standard for diagnosing colon cancer. Cellular nuclei instance segmentation and classification, and nuclear component regression tasks can aid in the analysis of the tumor micr...
2406.07420
Jibril Frej
Jibril Frej and Marta Knezevic and Tanja Kaser
Graph Reasoning for Explainable Cold Start Recommendation
null
null
null
null
cs.IR
http://creativecommons.org/licenses/by/4.0/
The cold start problem, where new users or items have no interaction history, remains a critical challenge in recommender systems (RS). A common solution involves using Knowledge Graphs (KG) to train entity embeddings or Graph Neural Networks (GNNs). Since KGs incorporate auxiliary data and not just user/item interac...
[ { "created": "Tue, 11 Jun 2024 16:21:57 GMT", "version": "v1" } ]
2024-06-12
[ [ "Frej", "Jibril", "" ], [ "Knezevic", "Marta", "" ], [ "Kaser", "Tanja", "" ] ]
The cold start problem, where new users or items have no interaction history, remains a critical challenge in recommender systems (RS). A common solution involves using Knowledge Graphs (KG) to train entity embeddings or Graph Neural Networks (GNNs). Since KGs incorporate auxiliary data and not just user/item interacti...
2312.01097
Cheng-Fu Yang
Cheng-Fu Yang, Haoyang Xu, Te-Lin Wu, Xiaofeng Gao, Kai-Wei Chang, Feng Gao
Planning as In-Painting: A Diffusion-Based Embodied Task Planning Framework for Environments under Uncertainty
null
null
null
null
cs.CV cs.LG cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Task planning for embodied AI has been one of the most challenging problems where the community does not meet a consensus in terms of formulation. In this paper, we aim to tackle this problem with a unified framework consisting of an end-to-end trainable method and a planning algorithm. Particularly, we propose a tas...
[ { "created": "Sat, 2 Dec 2023 10:07:17 GMT", "version": "v1" } ]
2023-12-05
[ [ "Yang", "Cheng-Fu", "" ], [ "Xu", "Haoyang", "" ], [ "Wu", "Te-Lin", "" ], [ "Gao", "Xiaofeng", "" ], [ "Chang", "Kai-Wei", "" ], [ "Gao", "Feng", "" ] ]
Task planning for embodied AI has been one of the most challenging problems where the community does not meet a consensus in terms of formulation. In this paper, we aim to tackle this problem with a unified framework consisting of an end-to-end trainable method and a planning algorithm. Particularly, we propose a task-...
1506.03193
Mohammad Shihabul Haque
Mohammad Shihabul Haque, Ang Li, Akash Kumar, Qingsong Wei
Accelerating Non-volatile/Hybrid Processor Cache Design Space Exploration for Application Specific Embedded Systems
null
null
10.1109/ASPDAC.2015.7059045
null
cs.AR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this article, we propose a technique to accelerate nonvolatile or hybrid of volatile and nonvolatile processor cache design space exploration for application specific embedded systems. Utilizing a novel cache behavior modeling equation and a new accurate cache miss prediction mechanism, our proposed technique can ...
[ { "created": "Wed, 10 Jun 2015 07:14:45 GMT", "version": "v1" }, { "created": "Mon, 31 Aug 2015 17:51:47 GMT", "version": "v2" } ]
2015-09-01
[ [ "Haque", "Mohammad Shihabul", "" ], [ "Li", "Ang", "" ], [ "Kumar", "Akash", "" ], [ "Wei", "Qingsong", "" ] ]
In this article, we propose a technique to accelerate nonvolatile or hybrid of volatile and nonvolatile processor cache design space exploration for application specific embedded systems. Utilizing a novel cache behavior modeling equation and a new accurate cache miss prediction mechanism, our proposed technique can ac...
1305.6577
Chandra Chekuri
Chandra Chekuri and Julia Chuzhoy
Polynomial Bounds for the Grid-Minor Theorem
Preliminary version of this paper appeared in Proceedings of ACM STOC, 2014. This is a full version that has been submitted to a journal and then revised based on reviewer comments
null
null
null
cs.DS cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
One of the key results in Robertson and Seymour's seminal work on graph minors is the Grid-Minor Theorem (also called the Excluded Grid Theorem). The theorem states that for every grid $H$, every graph whose treewidth is large enough relative to $|V(H)|$ contains $H$ as a minor. This theorem has found many applicatio...
[ { "created": "Tue, 28 May 2013 18:27:20 GMT", "version": "v1" }, { "created": "Thu, 17 Oct 2013 16:50:19 GMT", "version": "v2" }, { "created": "Mon, 21 Jul 2014 21:38:19 GMT", "version": "v3" }, { "created": "Tue, 23 Sep 2014 21:33:18 GMT", "version": "v4" }, { "c...
2016-08-11
[ [ "Chekuri", "Chandra", "" ], [ "Chuzhoy", "Julia", "" ] ]
One of the key results in Robertson and Seymour's seminal work on graph minors is the Grid-Minor Theorem (also called the Excluded Grid Theorem). The theorem states that for every grid $H$, every graph whose treewidth is large enough relative to $|V(H)|$ contains $H$ as a minor. This theorem has found many applications...
2001.07885
Jinyang Liu
Jinyang Liu, Yujia Zhai, Zizhong Chen
Normalization of Input-output Shared Embeddings in Text Generation Models
null
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Neural Network based models have been state-of-the-art models for various Natural Language Processing tasks, however, the input and output dimension problem in the networks has still not been fully resolved, especially in text generation tasks (e.g. Machine Translation, Text Summarization), in which input and output ...
[ { "created": "Wed, 22 Jan 2020 05:34:45 GMT", "version": "v1" }, { "created": "Fri, 24 Jan 2020 04:42:13 GMT", "version": "v2" } ]
2020-01-27
[ [ "Liu", "Jinyang", "" ], [ "Zhai", "Yujia", "" ], [ "Chen", "Zizhong", "" ] ]
Neural Network based models have been state-of-the-art models for various Natural Language Processing tasks, however, the input and output dimension problem in the networks has still not been fully resolved, especially in text generation tasks (e.g. Machine Translation, Text Summarization), in which input and output bo...
2005.02979
Anthony Corso
Anthony Corso, Robert J. Moss, Mark Koren, Ritchie Lee, Mykel J. Kochenderfer
A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems
null
Journal of Artificial Intelligence Research, vol. 72, p. 377-428, 2021
10.1613/jair.1.12716
null
cs.LG cs.AI cs.SY eess.SY stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Autonomous cyber-physical systems (CPS) can improve safety and efficiency for safety-critical applications, but require rigorous testing before deployment. The complexity of these systems often precludes the use of formal verification and real-world testing can be too dangerous during development. Therefore, simulati...
[ { "created": "Wed, 6 May 2020 17:31:51 GMT", "version": "v1" }, { "created": "Sat, 11 Jul 2020 16:18:28 GMT", "version": "v2" }, { "created": "Thu, 14 Oct 2021 16:40:00 GMT", "version": "v3" } ]
2021-10-15
[ [ "Corso", "Anthony", "" ], [ "Moss", "Robert J.", "" ], [ "Koren", "Mark", "" ], [ "Lee", "Ritchie", "" ], [ "Kochenderfer", "Mykel J.", "" ] ]
Autonomous cyber-physical systems (CPS) can improve safety and efficiency for safety-critical applications, but require rigorous testing before deployment. The complexity of these systems often precludes the use of formal verification and real-world testing can be too dangerous during development. Therefore, simulation...
1102.5452
Miroslav \'Ciri\'c
Miroslav \'Ciri\'c, Jelena Ignjatovi\'c, Nada Damljanovi\'c, Milan Ba\v{s}i\'c
Bisimulations for fuzzy automata
41 pages, submitted to a journal
null
null
null
cs.FL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Bisimulations have been widely used in many areas of computer science to model equivalence between various systems, and to reduce the number of states of these systems, whereas uniform fuzzy relations have recently been introduced as a means to model the fuzzy equivalence between elements of two possible different se...
[ { "created": "Sat, 26 Feb 2011 21:37:51 GMT", "version": "v1" }, { "created": "Thu, 5 May 2011 20:11:04 GMT", "version": "v2" } ]
2011-05-09
[ [ "Ćirić", "Miroslav", "" ], [ "Ignjatović", "Jelena", "" ], [ "Damljanović", "Nada", "" ], [ "Bašić", "Milan", "" ] ]
Bisimulations have been widely used in many areas of computer science to model equivalence between various systems, and to reduce the number of states of these systems, whereas uniform fuzzy relations have recently been introduced as a means to model the fuzzy equivalence between elements of two possible different sets...
1402.5351
Jian-Jun Shu
Jian-Jun Shu
On generalized Tian Ji's horse racing strategy
null
Interdisciplinary Science Reviews, Vol. 37, No. 2, pp. 187-193, 2012
10.1179/0308018812Z.00000000014
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Tian Ji's horse racing strategy, a famous Chinese legend, constitutes a promising concept to be applied to important issues in today's competitive environment; this strategy is elaborated on and analyzed by examining the general case. The mathematical formulation concerning the calculation of winning, drawing or losi...
[ { "created": "Fri, 21 Feb 2014 17:01:23 GMT", "version": "v1" }, { "created": "Fri, 28 Feb 2014 14:38:20 GMT", "version": "v2" }, { "created": "Mon, 24 Apr 2017 17:37:43 GMT", "version": "v3" } ]
2017-04-25
[ [ "Shu", "Jian-Jun", "" ] ]
Tian Ji's horse racing strategy, a famous Chinese legend, constitutes a promising concept to be applied to important issues in today's competitive environment; this strategy is elaborated on and analyzed by examining the general case. The mathematical formulation concerning the calculation of winning, drawing or losing...
2301.08830
Carlos Martin
Carlos Martin, Tuomas Sandholm
ApproxED: Approximate exploitability descent via learned best responses
null
null
null
null
cs.GT cs.AI cs.LG cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
There has been substantial progress on finding game-theoretic equilibria. Most of that work has focused on games with finite, discrete action spaces. However, many games involving space, time, money, and other fine-grained quantities have continuous action spaces (or are best modeled as having such). We study the pro...
[ { "created": "Fri, 20 Jan 2023 23:55:30 GMT", "version": "v1" }, { "created": "Tue, 19 Dec 2023 18:31:20 GMT", "version": "v2" }, { "created": "Wed, 12 Jun 2024 22:39:58 GMT", "version": "v3" } ]
2024-06-14
[ [ "Martin", "Carlos", "" ], [ "Sandholm", "Tuomas", "" ] ]
There has been substantial progress on finding game-theoretic equilibria. Most of that work has focused on games with finite, discrete action spaces. However, many games involving space, time, money, and other fine-grained quantities have continuous action spaces (or are best modeled as having such). We study the probl...
2105.01266
Kevin Jin
Ayaz Hafiz, Kevin Jin
Architecture of a Flexible and Cost-Effective Remote Code Execution Engine
11 pages, 8 figures
null
null
null
cs.DC
http://creativecommons.org/licenses/by/4.0/
Oftentimes, there is a need to experiment with different programming languages and technologies when designing software applications. Such experiments must be reproducible and share-able within a team workplace, and manual effort should be minimized for setting up/tearing down said experiments. This paper solves th...
[ { "created": "Tue, 4 May 2021 03:13:54 GMT", "version": "v1" } ]
2021-05-05
[ [ "Hafiz", "Ayaz", "" ], [ "Jin", "Kevin", "" ] ]
Oftentimes, there is a need to experiment with different programming languages and technologies when designing software applications. Such experiments must be reproducible and share-able within a team workplace, and manual effort should be minimized for setting up/tearing down said experiments. This paper solves this p...
2310.07793
Ruotong Liao
Ruotong Liao, Xu Jia, Yangzhe Li, Yunpu Ma, Volker Tresp
GenTKG: Generative Forecasting on Temporal Knowledge Graph with Large Language Models
14 pages, Findings of NAACL 2024, Spotlight on TGL@NeurIPS2023
null
null
null
cs.CL cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The rapid advancements in large language models (LLMs) have ignited interest in the temporal knowledge graph (tKG) domain, where conventional embedding-based and rule-based methods dominate. The question remains open of whether pre-trained LLMs can understand structured temporal relational data and replace them as th...
[ { "created": "Wed, 11 Oct 2023 18:27:12 GMT", "version": "v1" }, { "created": "Tue, 14 Nov 2023 15:51:18 GMT", "version": "v2" }, { "created": "Thu, 7 Mar 2024 17:43:30 GMT", "version": "v3" }, { "created": "Wed, 13 Mar 2024 17:10:48 GMT", "version": "v4" }, { "cr...
2024-04-18
[ [ "Liao", "Ruotong", "" ], [ "Jia", "Xu", "" ], [ "Li", "Yangzhe", "" ], [ "Ma", "Yunpu", "" ], [ "Tresp", "Volker", "" ] ]
The rapid advancements in large language models (LLMs) have ignited interest in the temporal knowledge graph (tKG) domain, where conventional embedding-based and rule-based methods dominate. The question remains open of whether pre-trained LLMs can understand structured temporal relational data and replace them as the ...
2102.01886
Xuefeng Du
Xuefeng Du, Jingfeng Zhang, Bo Han, Tongliang Liu, Yu Rong, Gang Niu, Junzhou Huang, Masashi Sugiyama
Learning Diverse-Structured Networks for Adversarial Robustness
ICML2021, code: https://github.com/d12306/dsnet
null
null
null
cs.LG cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In adversarial training (AT), the main focus has been the objective and optimizer while the model has been less studied, so that the models being used are still those classic ones in standard training (ST). Classic network architectures (NAs) are generally worse than searched NAs in ST, which should be the same in AT...
[ { "created": "Wed, 3 Feb 2021 05:52:11 GMT", "version": "v1" }, { "created": "Fri, 5 Feb 2021 14:48:27 GMT", "version": "v2" }, { "created": "Mon, 8 Feb 2021 03:09:39 GMT", "version": "v3" }, { "created": "Fri, 18 Jun 2021 06:57:10 GMT", "version": "v4" } ]
2021-06-21
[ [ "Du", "Xuefeng", "" ], [ "Zhang", "Jingfeng", "" ], [ "Han", "Bo", "" ], [ "Liu", "Tongliang", "" ], [ "Rong", "Yu", "" ], [ "Niu", "Gang", "" ], [ "Huang", "Junzhou", "" ], [ "Sugiyama", "Masas...
In adversarial training (AT), the main focus has been the objective and optimizer while the model has been less studied, so that the models being used are still those classic ones in standard training (ST). Classic network architectures (NAs) are generally worse than searched NAs in ST, which should be the same in AT. ...
2010.15314
Drew Linsley
Drew Linsley, Junkyung Kim, Alekh Ashok, and Thomas Serre
Recurrent neural circuits for contour detection
Published in ICLR 2020
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce a deep recurrent neural network architecture that approximates visual cortical circuits. We show that this architecture, which we refer to as the gamma-net, learns to solve contour detection tasks with better sample efficiency than state-of-the-art feedforward networks, while also exhibiting a classic pe...
[ { "created": "Thu, 29 Oct 2020 02:09:40 GMT", "version": "v1" } ]
2020-10-30
[ [ "Linsley", "Drew", "" ], [ "Kim", "Junkyung", "" ], [ "Ashok", "Alekh", "" ], [ "Serre", "Thomas", "" ] ]
We introduce a deep recurrent neural network architecture that approximates visual cortical circuits. We show that this architecture, which we refer to as the gamma-net, learns to solve contour detection tasks with better sample efficiency than state-of-the-art feedforward networks, while also exhibiting a classic perc...
1804.07453
Cuiling Lan
Pengfei Zhang, Cuiling Lan, Junliang Xing, Wenjun Zeng, Jianru Xue, Nanning Zheng
View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition
Accepted in Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Skeleton-based human action recognition has recently attracted increasing attention thanks to the accessibility and the popularity of 3D skeleton data. One of the key challenges in skeleton-based action recognition lies in the large view variations when capturing data. In order to alleviate the effects of view variat...
[ { "created": "Fri, 20 Apr 2018 05:37:47 GMT", "version": "v1" }, { "created": "Tue, 12 Feb 2019 03:55:23 GMT", "version": "v2" }, { "created": "Tue, 3 Sep 2019 08:08:52 GMT", "version": "v3" } ]
2019-09-04
[ [ "Zhang", "Pengfei", "" ], [ "Lan", "Cuiling", "" ], [ "Xing", "Junliang", "" ], [ "Zeng", "Wenjun", "" ], [ "Xue", "Jianru", "" ], [ "Zheng", "Nanning", "" ] ]
Skeleton-based human action recognition has recently attracted increasing attention thanks to the accessibility and the popularity of 3D skeleton data. One of the key challenges in skeleton-based action recognition lies in the large view variations when capturing data. In order to alleviate the effects of view variatio...
2402.02922
Farhad Pakdaman
Umut Cem Entok, Firas Laakom, Farhad Pakdaman, Moncef Gabbouj
Pixel-Wise Color Constancy via Smoothness Techniques in Multi-Illuminant Scenes
Copyright 2024 IEEE - Submitted to IEEE ICIP 2024
null
null
null
cs.CV eess.IV
http://creativecommons.org/licenses/by/4.0/
Most scenes are illuminated by several light sources, where the traditional assumption of uniform illumination is invalid. This issue is ignored in most color constancy methods, primarily due to the complex spatial impact of multiple light sources on the image. Moreover, most existing multi-illuminant methods fail to...
[ { "created": "Mon, 5 Feb 2024 11:42:19 GMT", "version": "v1" } ]
2024-02-06
[ [ "Entok", "Umut Cem", "" ], [ "Laakom", "Firas", "" ], [ "Pakdaman", "Farhad", "" ], [ "Gabbouj", "Moncef", "" ] ]
Most scenes are illuminated by several light sources, where the traditional assumption of uniform illumination is invalid. This issue is ignored in most color constancy methods, primarily due to the complex spatial impact of multiple light sources on the image. Moreover, most existing multi-illuminant methods fail to p...
2103.03773
Tim Barfoot
Timothy D Barfoot
A Geometric Algebra Solution to Wahba's Problem
null
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We retrace Davenport's solution to Wahba's classic problem of aligning two pointclouds using the formalism of Geometric Algebra (GA). GA proves to be a natural backdrop for this problem involving three-dimensional rotations due to the isomorphism between unit-length quaternions and rotors. While the solution to this ...
[ { "created": "Fri, 5 Mar 2021 16:01:30 GMT", "version": "v1" } ]
2021-03-08
[ [ "Barfoot", "Timothy D", "" ] ]
We retrace Davenport's solution to Wahba's classic problem of aligning two pointclouds using the formalism of Geometric Algebra (GA). GA proves to be a natural backdrop for this problem involving three-dimensional rotations due to the isomorphism between unit-length quaternions and rotors. While the solution to this pr...
1204.1407
Xiaohu Xie
Stephen Breen, Xiao-Wen Chang
Column Reordering for Box-Constrained Integer Least Squares Problems
6 pages; IEEE GLOBECOM 2011
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The box-constrained integer least squares problem (BILS) arises in MIMO wireless communications applications. Typically a sphere decoding algorithm (a tree search algorithm) is used to solve the problem. In order to make the search algorithm more efficient, the columns of the channel matrix in the BILS problem have t...
[ { "created": "Fri, 6 Apr 2012 04:50:09 GMT", "version": "v1" } ]
2012-04-09
[ [ "Breen", "Stephen", "" ], [ "Chang", "Xiao-Wen", "" ] ]
The box-constrained integer least squares problem (BILS) arises in MIMO wireless communications applications. Typically a sphere decoding algorithm (a tree search algorithm) is used to solve the problem. In order to make the search algorithm more efficient, the columns of the channel matrix in the BILS problem have to ...
2010.06176
Yibo Yang
Yibo Yang, Hongyang Li, Shan You, Fei Wang, Chen Qian, Zhouchen Lin
ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding
NeurIPS 2020
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Neural architecture search (NAS) aims to produce the optimal sparse solution from a high-dimensional space spanned by all candidate connections. Current gradient-based NAS methods commonly ignore the constraint of sparsity in the search phase, but project the optimized solution onto a sparse one by post-processing. A...
[ { "created": "Tue, 13 Oct 2020 04:34:24 GMT", "version": "v1" } ]
2020-10-14
[ [ "Yang", "Yibo", "" ], [ "Li", "Hongyang", "" ], [ "You", "Shan", "" ], [ "Wang", "Fei", "" ], [ "Qian", "Chen", "" ], [ "Lin", "Zhouchen", "" ] ]
Neural architecture search (NAS) aims to produce the optimal sparse solution from a high-dimensional space spanned by all candidate connections. Current gradient-based NAS methods commonly ignore the constraint of sparsity in the search phase, but project the optimized solution onto a sparse one by post-processing. As ...
2206.12862
Reda Marzouk
Reda Marzouk, Colin de La Higuera
Marginal Inference queries in Hidden Markov Models under context-free grammar constraints
null
null
null
null
cs.AI cs.FL
http://creativecommons.org/licenses/by/4.0/
The primary use of any probabilistic model involving a set of random variables is to run inference and sampling queries on it. Inference queries in classical probabilistic models is concerned by the computation of marginal or conditional probabilities of events given as an input. When the probabilistic model is seque...
[ { "created": "Sun, 26 Jun 2022 12:44:18 GMT", "version": "v1" } ]
2022-06-28
[ [ "Marzouk", "Reda", "" ], [ "de La Higuera", "Colin", "" ] ]
The primary use of any probabilistic model involving a set of random variables is to run inference and sampling queries on it. Inference queries in classical probabilistic models is concerned by the computation of marginal or conditional probabilities of events given as an input. When the probabilistic model is sequent...
1810.05818
David Mateo
Jabez Leong Kit and David Mateo and Roland Bouffanais
A Decentralized Mobile Computing Network for Multi-Robot Systems Operations
Accepted for Publication in Proc. 9th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference
UEMCON 9 (2018) 309-314
10.1109/UEMCON.2018.8796753
null
cs.RO
http://creativecommons.org/licenses/by-nc-sa/4.0/
Collective animal behaviors are paradigmatic examples of fully decentralized operations involving complex collective computations such as collective turns in flocks of birds or collective harvesting by ants. These systems offer a unique source of inspiration for the development of fault-tolerant and self-healing mult...
[ { "created": "Sat, 13 Oct 2018 08:33:26 GMT", "version": "v1" } ]
2022-09-28
[ [ "Kit", "Jabez Leong", "" ], [ "Mateo", "David", "" ], [ "Bouffanais", "Roland", "" ] ]
Collective animal behaviors are paradigmatic examples of fully decentralized operations involving complex collective computations such as collective turns in flocks of birds or collective harvesting by ants. These systems offer a unique source of inspiration for the development of fault-tolerant and self-healing multi-...
1609.00321
Fabian Lipp
Thomas C. van Dijk and Martin Fink and Norbert Fischer and Fabian Lipp and Peter Markfelder and Alexander Ravsky and Subhash Suri and Alexander Wolff
Block Crossings in Storyline Visualizations
Appears in the Proceedings of the 24th International Symposium on Graph Drawing and Network Visualization (GD 2016)
null
null
null
cs.CG cs.DM math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Storyline visualizations help visualize encounters of the characters in a story over time. Each character is represented by an x-monotone curve that goes from left to right. A meeting is represented by having the characters that participate in the meeting run close together for some time. In order to keep the visual ...
[ { "created": "Thu, 1 Sep 2016 17:07:50 GMT", "version": "v1" } ]
2016-09-02
[ [ "van Dijk", "Thomas C.", "" ], [ "Fink", "Martin", "" ], [ "Fischer", "Norbert", "" ], [ "Lipp", "Fabian", "" ], [ "Markfelder", "Peter", "" ], [ "Ravsky", "Alexander", "" ], [ "Suri", "Subhash", "" ], ...
Storyline visualizations help visualize encounters of the characters in a story over time. Each character is represented by an x-monotone curve that goes from left to right. A meeting is represented by having the characters that participate in the meeting run close together for some time. In order to keep the visual co...
2112.00424
Alberto Castagna
Alberto Castagna and Ivana Dusparic
Multi-Agent Transfer Learning in Reinforcement Learning-Based Ride-Sharing Systems
null
null
null
null
cs.LG cs.AI cs.MA
http://creativecommons.org/licenses/by/4.0/
Reinforcement learning (RL) has been used in a range of simulated real-world tasks, e.g., sensor coordination, traffic light control, and on-demand mobility services. However, real world deployments are rare, as RL struggles with dynamic nature of real world environments, requiring time for learning a task and adapti...
[ { "created": "Wed, 1 Dec 2021 11:23:40 GMT", "version": "v1" } ]
2021-12-02
[ [ "Castagna", "Alberto", "" ], [ "Dusparic", "Ivana", "" ] ]
Reinforcement learning (RL) has been used in a range of simulated real-world tasks, e.g., sensor coordination, traffic light control, and on-demand mobility services. However, real world deployments are rare, as RL struggles with dynamic nature of real world environments, requiring time for learning a task and adapting...
1711.11479
Thomas Lucas
Thomas Lucas and Jakob Verbeek
Auxiliary Guided Autoregressive Variational Autoencoders
Published as a conference paper at ECML-PKDD 2018
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Generative modeling of high-dimensional data is a key problem in machine learning. Successful approaches include latent variable models and autoregressive models. The complementary strengths of these approaches, to model global and local image statistics respectively, suggest hybrid models that encode global image st...
[ { "created": "Thu, 30 Nov 2017 15:57:24 GMT", "version": "v1" }, { "created": "Thu, 18 Apr 2019 06:49:26 GMT", "version": "v2" } ]
2019-04-19
[ [ "Lucas", "Thomas", "" ], [ "Verbeek", "Jakob", "" ] ]
Generative modeling of high-dimensional data is a key problem in machine learning. Successful approaches include latent variable models and autoregressive models. The complementary strengths of these approaches, to model global and local image statistics respectively, suggest hybrid models that encode global image stru...
1703.04394
Yongqin Xian
Yongqin Xian, Bernt Schiele, Zeynep Akata
Zero-Shot Learning -- The Good, the Bad and the Ugly
Accepted as a full paper in IEEE Computer Vision and Pattern Recognition (CVPR) 2017. We introduce Proposed Split Version 2.0 (Please download it from the project page)
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Due to the importance of zero-shot learning, the number of proposed approaches has increased steadily recently. We argue that it is time to take a step back and to analyze the status quo of the area. The purpose of this paper is three-fold. First, given the fact that there is no agreed upon zero-shot learning benchma...
[ { "created": "Mon, 13 Mar 2017 13:53:19 GMT", "version": "v1" }, { "created": "Wed, 23 Sep 2020 14:55:12 GMT", "version": "v2" } ]
2020-09-24
[ [ "Xian", "Yongqin", "" ], [ "Schiele", "Bernt", "" ], [ "Akata", "Zeynep", "" ] ]
Due to the importance of zero-shot learning, the number of proposed approaches has increased steadily recently. We argue that it is time to take a step back and to analyze the status quo of the area. The purpose of this paper is three-fold. First, given the fact that there is no agreed upon zero-shot learning benchmark...
1902.10710
Vitaly Feldman
Vitaly Feldman and Jan Vondrak
High probability generalization bounds for uniformly stable algorithms with nearly optimal rate
this is a follow-up to and has minor text overlap with arXiv:1812.09859; v2: minor revision following acceptance for presentation at COLT 2019
null
null
null
cs.LG cs.DS stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Algorithmic stability is a classical approach to understanding and analysis of the generalization error of learning algorithms. A notable weakness of most stability-based generalization bounds is that they hold only in expectation. Generalization with high probability has been established in a landmark paper of Bousq...
[ { "created": "Wed, 27 Feb 2019 18:50:28 GMT", "version": "v1" }, { "created": "Sun, 23 Jun 2019 05:48:35 GMT", "version": "v2" } ]
2019-06-25
[ [ "Feldman", "Vitaly", "" ], [ "Vondrak", "Jan", "" ] ]
Algorithmic stability is a classical approach to understanding and analysis of the generalization error of learning algorithms. A notable weakness of most stability-based generalization bounds is that they hold only in expectation. Generalization with high probability has been established in a landmark paper of Bousque...
2403.08455
Novel Certad
Novel Certad, Enrico del Re, Helena Kornd\"orfer, Gregory Schr\"oder, Walter Morales-Alvarez, Sebastian Tschernuth, Delgermaa Gankhuyag, Luigi del Re and Cristina Olaverri-Monreal
IAMCV Multi-Scenario Vehicle Interaction Dataset
null
null
null
null
cs.RO cs.ET
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The acquisition and analysis of high-quality sensor data constitute an essential requirement in shaping the development of fully autonomous driving systems. This process is indispensable for enhancing road safety and ensuring the effectiveness of the technological advancements in the automotive industry. This study i...
[ { "created": "Wed, 13 Mar 2024 12:09:44 GMT", "version": "v1" } ]
2024-03-14
[ [ "Certad", "Novel", "" ], [ "del Re", "Enrico", "" ], [ "Korndörfer", "Helena", "" ], [ "Schröder", "Gregory", "" ], [ "Morales-Alvarez", "Walter", "" ], [ "Tschernuth", "Sebastian", "" ], [ "Gankhuyag", "Delger...
The acquisition and analysis of high-quality sensor data constitute an essential requirement in shaping the development of fully autonomous driving systems. This process is indispensable for enhancing road safety and ensuring the effectiveness of the technological advancements in the automotive industry. This study int...
2311.17812
Ting Liu
Ting Liu, Yue Hu, Wansen Wu, Youkai Wang, Kai Xu, Quanjun Yin
DAP: Domain-aware Prompt Learning for Vision-and-Language Navigation
4 pages. arXiv admin note: substantial text overlap with arXiv:2309.03661
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Following language instructions to navigate in unseen environments is a challenging task for autonomous embodied agents. With strong representation capabilities, pretrained vision-and-language models are widely used in VLN. However, most of them are trained on web-crawled general-purpose datasets, which incurs a cons...
[ { "created": "Wed, 29 Nov 2023 17:03:37 GMT", "version": "v1" }, { "created": "Thu, 30 Nov 2023 11:28:59 GMT", "version": "v2" }, { "created": "Thu, 28 Dec 2023 13:59:45 GMT", "version": "v3" }, { "created": "Fri, 29 Dec 2023 02:30:52 GMT", "version": "v4" } ]
2024-01-01
[ [ "Liu", "Ting", "" ], [ "Hu", "Yue", "" ], [ "Wu", "Wansen", "" ], [ "Wang", "Youkai", "" ], [ "Xu", "Kai", "" ], [ "Yin", "Quanjun", "" ] ]
Following language instructions to navigate in unseen environments is a challenging task for autonomous embodied agents. With strong representation capabilities, pretrained vision-and-language models are widely used in VLN. However, most of them are trained on web-crawled general-purpose datasets, which incurs a consid...
1410.7452
Varun Jampani
Varun Jampani, S. M. Ali Eslami, Daniel Tarlow, Pushmeet Kohli and John Winn
Consensus Message Passing for Layered Graphical Models
Appearing in Proceedings of the 18th International Conference on Artificial Intelligence and Statistics (AISTATS) 2015
null
null
null
cs.CV cs.AI cs.LG
http://creativecommons.org/licenses/by-nc-sa/3.0/
Generative models provide a powerful framework for probabilistic reasoning. However, in many domains their use has been hampered by the practical difficulties of inference. This is particularly the case in computer vision, where models of the imaging process tend to be large, loopy and layered. For this reason bottom...
[ { "created": "Mon, 27 Oct 2014 22:40:52 GMT", "version": "v1" }, { "created": "Mon, 26 Jan 2015 21:36:36 GMT", "version": "v2" } ]
2015-01-28
[ [ "Jampani", "Varun", "" ], [ "Eslami", "S. M. Ali", "" ], [ "Tarlow", "Daniel", "" ], [ "Kohli", "Pushmeet", "" ], [ "Winn", "John", "" ] ]
Generative models provide a powerful framework for probabilistic reasoning. However, in many domains their use has been hampered by the practical difficulties of inference. This is particularly the case in computer vision, where models of the imaging process tend to be large, loopy and layered. For this reason bottom-u...
1509.04956
J. Miguel Diaz-Banez
Francisco G\'omez, Joaqu\'in Mora, Emilia G\'omez, Jos\'e Miguel D\'iaz-B\'a\~nez
Melodic Contour and Mid-Level Global Features Applied to the Analysis of Flamenco Cantes
null
null
null
null
cs.SD cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This work focuses on the topic of melodic characterization and similarity in a specific musical repertoire: a cappella flamenco singing, more specifically in debla and martinete styles. We propose the combination of manual and automatic description. First, we use a state-of-the-art automatic transcription method to a...
[ { "created": "Wed, 16 Sep 2015 15:56:22 GMT", "version": "v1" } ]
2015-09-17
[ [ "Gómez", "Francisco", "" ], [ "Mora", "Joaquín", "" ], [ "Gómez", "Emilia", "" ], [ "Díaz-Báñez", "José Miguel", "" ] ]
This work focuses on the topic of melodic characterization and similarity in a specific musical repertoire: a cappella flamenco singing, more specifically in debla and martinete styles. We propose the combination of manual and automatic description. First, we use a state-of-the-art automatic transcription method to acc...
1210.1480
George Kampis
Frank van Harmelen and George Kampis and Katy Borner and Peter van den Besselaar and Erik Schultes and Carole Goble and Paul Groth and Barend Mons and Stuart Anderson and Stefan Decker and Conor Hayes and Thierry Buecheler and Dirk Helbing
Theoretical And Technological Building Blocks For An Innovation Accelerator
null
null
10.1140/epjst/e2012-01692-1
null
cs.DL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The scientific system that we use today was devised centuries ago and is inadequate for our current ICT-based society: the peer review system encourages conservatism, journal publications are monolithic and slow, data is often not available to other scientists, and the independent validation of results is limited. Bu...
[ { "created": "Thu, 4 Oct 2012 15:08:28 GMT", "version": "v1" } ]
2015-06-11
[ [ "van Harmelen", "Frank", "" ], [ "Kampis", "George", "" ], [ "Borner", "Katy", "" ], [ "Besselaar", "Peter van den", "" ], [ "Schultes", "Erik", "" ], [ "Goble", "Carole", "" ], [ "Groth", "Paul", "" ], ...
The scientific system that we use today was devised centuries ago and is inadequate for our current ICT-based society: the peer review system encourages conservatism, journal publications are monolithic and slow, data is often not available to other scientists, and the independent validation of results is limited. Buil...
2309.10740
Yatong Bai
Yatong Bai, Trung Dang, Dung Tran, Kazuhito Koishida, Somayeh Sojoudi
ConsistencyTTA: Accelerating Diffusion-Based Text-to-Audio Generation with Consistency Distillation
null
null
null
null
cs.SD cs.LG cs.MM eess.AS
http://creativecommons.org/licenses/by-nc-sa/4.0/
Diffusion models are instrumental in text-to-audio (TTA) generation. Unfortunately, they suffer from slow inference due to an excessive number of queries to the underlying denoising network per generation. To address this bottleneck, we introduce ConsistencyTTA, a framework requiring only a single non-autoregressive ...
[ { "created": "Tue, 19 Sep 2023 16:36:33 GMT", "version": "v1" }, { "created": "Thu, 6 Jun 2024 01:32:00 GMT", "version": "v2" }, { "created": "Mon, 24 Jun 2024 06:51:55 GMT", "version": "v3" } ]
2024-06-25
[ [ "Bai", "Yatong", "" ], [ "Dang", "Trung", "" ], [ "Tran", "Dung", "" ], [ "Koishida", "Kazuhito", "" ], [ "Sojoudi", "Somayeh", "" ] ]
Diffusion models are instrumental in text-to-audio (TTA) generation. Unfortunately, they suffer from slow inference due to an excessive number of queries to the underlying denoising network per generation. To address this bottleneck, we introduce ConsistencyTTA, a framework requiring only a single non-autoregressive ne...
2209.12995
Jenni Raitoharju
Mikko Impi\"o, Pekka H\"arm\"a, Anna Tammilehto, Saku Anttila, Jenni Raitoharju
Habitat classification from satellite observations with sparse annotations
54 pages, 16 figures
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Remote sensing benefits habitat conservation by making monitoring of large areas easier compared to field surveying especially if the remote sensed data can be automatically analyzed. An important aspect of monitoring is classifying and mapping habitat types present in the monitored area. Automatic classification is ...
[ { "created": "Mon, 26 Sep 2022 20:14:59 GMT", "version": "v1" } ]
2022-09-28
[ [ "Impiö", "Mikko", "" ], [ "Härmä", "Pekka", "" ], [ "Tammilehto", "Anna", "" ], [ "Anttila", "Saku", "" ], [ "Raitoharju", "Jenni", "" ] ]
Remote sensing benefits habitat conservation by making monitoring of large areas easier compared to field surveying especially if the remote sensed data can be automatically analyzed. An important aspect of monitoring is classifying and mapping habitat types present in the monitored area. Automatic classification is a ...
2207.09133
Prerak Srivastava
Prerak Srivastava, Antoine Deleforge, Emmanuel Vincent
Realistic sources, receivers and walls improve the generalisability of virtually-supervised blind acoustic parameter estimators
null
null
null
null
cs.SD eess.AS
http://creativecommons.org/licenses/by/4.0/
Blind acoustic parameter estimation consists in inferring the acoustic properties of an environment from recordings of unknown sound sources. Recent works in this area have utilized deep neural networks trained either partially or exclusively on simulated data, due to the limited availability of real annotated measur...
[ { "created": "Tue, 19 Jul 2022 09:09:38 GMT", "version": "v1" } ]
2022-07-20
[ [ "Srivastava", "Prerak", "" ], [ "Deleforge", "Antoine", "" ], [ "Vincent", "Emmanuel", "" ] ]
Blind acoustic parameter estimation consists in inferring the acoustic properties of an environment from recordings of unknown sound sources. Recent works in this area have utilized deep neural networks trained either partially or exclusively on simulated data, due to the limited availability of real annotated measurem...
2104.07642
Chih-Chan Tien
Chih-chan Tien, Shane Steinert-Threlkeld
Bilingual alignment transfers to multilingual alignment for unsupervised parallel text mining
To be published at ACL 2022. 11 pages, 2 figures
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
This work presents methods for learning cross-lingual sentence representations using paired or unpaired bilingual texts. We hypothesize that the cross-lingual alignment strategy is transferable, and therefore a model trained to align only two languages can encode multilingually more aligned representations. We thus i...
[ { "created": "Thu, 15 Apr 2021 17:51:22 GMT", "version": "v1" }, { "created": "Tue, 15 Mar 2022 21:59:57 GMT", "version": "v2" } ]
2022-03-17
[ [ "Tien", "Chih-chan", "" ], [ "Steinert-Threlkeld", "Shane", "" ] ]
This work presents methods for learning cross-lingual sentence representations using paired or unpaired bilingual texts. We hypothesize that the cross-lingual alignment strategy is transferable, and therefore a model trained to align only two languages can encode multilingually more aligned representations. We thus int...
2303.16507
Huy Hieu Pham
Hieu H. Pham, Khiem H. Le, Tuan V. Tran, Ha Q. Nguyen
Improving Object Detection in Medical Image Analysis through Multiple Expert Annotators: An Empirical Investigation
This is a short version submitted to the Midwest Machine Learning Symposium (MMLS 2023), Chicago, IL, USA
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
The work discusses the use of machine learning algorithms for anomaly detection in medical image analysis and how the performance of these algorithms depends on the number of annotators and the quality of labels. To address the issue of subjectivity in labeling with a single annotator, we introduce a simple and effec...
[ { "created": "Wed, 29 Mar 2023 07:34:20 GMT", "version": "v1" } ]
2023-03-30
[ [ "Pham", "Hieu H.", "" ], [ "Le", "Khiem H.", "" ], [ "Tran", "Tuan V.", "" ], [ "Nguyen", "Ha Q.", "" ] ]
The work discusses the use of machine learning algorithms for anomaly detection in medical image analysis and how the performance of these algorithms depends on the number of annotators and the quality of labels. To address the issue of subjectivity in labeling with a single annotator, we introduce a simple and effecti...
2204.03888
Peng Shen Dr.
Peng Shen, Xugang Lu, Hisashi Kawai
Transducer-based language embedding for spoken language identification
This paper was accepted by Interspeech 2022
null
null
null
cs.CL cs.SD eess.AS
http://creativecommons.org/licenses/by-nc-nd/4.0/
The acoustic and linguistic features are important cues for the spoken language identification (LID) task. Recent advanced LID systems mainly use acoustic features that lack the usage of explicit linguistic feature encoding. In this paper, we propose a novel transducer-based language embedding approach for LID tasks ...
[ { "created": "Fri, 8 Apr 2022 07:23:43 GMT", "version": "v1" }, { "created": "Fri, 29 Jul 2022 09:41:24 GMT", "version": "v2" } ]
2022-08-01
[ [ "Shen", "Peng", "" ], [ "Lu", "Xugang", "" ], [ "Kawai", "Hisashi", "" ] ]
The acoustic and linguistic features are important cues for the spoken language identification (LID) task. Recent advanced LID systems mainly use acoustic features that lack the usage of explicit linguistic feature encoding. In this paper, we propose a novel transducer-based language embedding approach for LID tasks by...
2210.10123
David Hart
David Hart, Michael Whitney, Bryan Morse
Interpolated SelectionConv for Spherical Images and Surfaces
To be presented at WACV 2023
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a new and general framework for convolutional neural network operations on spherical (or omnidirectional) images. Our approach represents the surface as a graph of connected points that doesn't rely on a particular sampling strategy. Additionally, by using an interpolated version of SelectionConv, we can o...
[ { "created": "Tue, 18 Oct 2022 19:49:07 GMT", "version": "v1" } ]
2022-10-20
[ [ "Hart", "David", "" ], [ "Whitney", "Michael", "" ], [ "Morse", "Bryan", "" ] ]
We present a new and general framework for convolutional neural network operations on spherical (or omnidirectional) images. Our approach represents the surface as a graph of connected points that doesn't rely on a particular sampling strategy. Additionally, by using an interpolated version of SelectionConv, we can ope...
2204.12855
Anupama Mishra
Anupama Mishra
Prediction Approach against DDoS Attack based on Machine Learning Multiclassfier
null
null
null
null
cs.CR
http://creativecommons.org/licenses/by/4.0/
DDoS attacks, also known as distributed denial of service (DDoS) attacks, have emerged as one of the most serious and fastest-growing threats on the Internet. Denial-of-service (DDoS) attacks are an example of cyber attacks that target a specific system or network in an attempt to render it inaccessible or unusable f...
[ { "created": "Wed, 27 Apr 2022 11:39:24 GMT", "version": "v1" } ]
2022-04-28
[ [ "Mishra", "Anupama", "" ] ]
DDoS attacks, also known as distributed denial of service (DDoS) attacks, have emerged as one of the most serious and fastest-growing threats on the Internet. Denial-of-service (DDoS) attacks are an example of cyber attacks that target a specific system or network in an attempt to render it inaccessible or unusable for...
2104.04955
R. Baghdadi
Riyadh Baghdadi, Massinissa Merouani, Mohamed-Hicham Leghettas, Kamel Abdous, Taha Arbaoui, Karima Benatchba, Saman Amarasinghe
A Deep Learning Based Cost Model for Automatic Code Optimization
null
Proceedings of the 4th MLSys Conference, San Jose, CA, USA, 2021
null
null
cs.PL cs.DC cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Enabling compilers to automatically optimize code has been a longstanding goal for the compiler community. Efficiently solving this problem requires using precise cost models. These models predict whether applying a sequence of code transformations reduces the execution time of the program. Building an analytical cos...
[ { "created": "Sun, 11 Apr 2021 08:32:42 GMT", "version": "v1" } ]
2021-04-13
[ [ "Baghdadi", "Riyadh", "" ], [ "Merouani", "Massinissa", "" ], [ "Leghettas", "Mohamed-Hicham", "" ], [ "Abdous", "Kamel", "" ], [ "Arbaoui", "Taha", "" ], [ "Benatchba", "Karima", "" ], [ "Amarasinghe", "Saman"...
Enabling compilers to automatically optimize code has been a longstanding goal for the compiler community. Efficiently solving this problem requires using precise cost models. These models predict whether applying a sequence of code transformations reduces the execution time of the program. Building an analytical cost ...
2011.12836
Yu Zeng
Yu Zeng, Zhe Lin, Huchuan Lu, Vishal M. Patel
CR-Fill: Generative Image Inpainting with Auxiliary Contexutal Reconstruction
null
null
null
null
cs.CV cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent deep generative inpainting methods use attention layers to allow the generator to explicitly borrow feature patches from the known region to complete a missing region. Due to the lack of supervision signals for the correspondence between missing regions and known regions, it may fail to find proper reference f...
[ { "created": "Wed, 25 Nov 2020 15:45:12 GMT", "version": "v1" }, { "created": "Wed, 31 Mar 2021 11:47:51 GMT", "version": "v2" } ]
2021-04-01
[ [ "Zeng", "Yu", "" ], [ "Lin", "Zhe", "" ], [ "Lu", "Huchuan", "" ], [ "Patel", "Vishal M.", "" ] ]
Recent deep generative inpainting methods use attention layers to allow the generator to explicitly borrow feature patches from the known region to complete a missing region. Due to the lack of supervision signals for the correspondence between missing regions and known regions, it may fail to find proper reference fea...
2005.11467
Tingting Liang
Tingting Liang, Congying Xia, Yuyu Yin, Philip S. Yu
Joint Training Capsule Network for Cold Start Recommendation
Accepted by SIGIR'20
null
null
null
cs.IR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper proposes a novel neural network, joint training capsule network (JTCN), for the cold start recommendation task. We propose to mimic the high-level user preference other than the raw interaction history based on the side information for the fresh users. Specifically, an attentive capsule layer is proposed t...
[ { "created": "Sat, 23 May 2020 04:27:38 GMT", "version": "v1" } ]
2020-05-26
[ [ "Liang", "Tingting", "" ], [ "Xia", "Congying", "" ], [ "Yin", "Yuyu", "" ], [ "Yu", "Philip S.", "" ] ]
This paper proposes a novel neural network, joint training capsule network (JTCN), for the cold start recommendation task. We propose to mimic the high-level user preference other than the raw interaction history based on the side information for the fresh users. Specifically, an attentive capsule layer is proposed to ...
cs/0202020
Oleg Kupervasser
Oleg Kupervasser, Alexsander Vardy
The Mysterious Optimality of Naive Bayes: Estimation of the Probability in the System of "Classifiers"
9 pages,1 figure, all changes in the second version is made by Kupervasser only
Pattern Recognition and Image Analysis, 2014, Vol. 24, No. 1
10.1134/S1054661814010088
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Bayes Classifiers are widely used currently for recognition, identification and knowledge discovery. The fields of application are, for example, image processing, medicine, chemistry (QSAR). But by mysterious way the Naive Bayes Classifier usually gives a very nice and good presentation of a recognition. It can not b...
[ { "created": "Sun, 17 Feb 2002 14:55:47 GMT", "version": "v1" }, { "created": "Thu, 30 Jun 2011 14:23:47 GMT", "version": "v2" }, { "created": "Fri, 24 Aug 2012 14:57:32 GMT", "version": "v3" } ]
2013-12-30
[ [ "Kupervasser", "Oleg", "" ], [ "Vardy", "Alexsander", "" ] ]
Bayes Classifiers are widely used currently for recognition, identification and knowledge discovery. The fields of application are, for example, image processing, medicine, chemistry (QSAR). But by mysterious way the Naive Bayes Classifier usually gives a very nice and good presentation of a recognition. It can not be ...
1803.09427
Andreas Schwierz
Andreas Schwierz and H{\aa}kan Forsberg
Design Assurance Evaluation of Microcontrollers for safety critical Avionics
null
2017 IEEE/AIAA 36th Digital Avionics Systems Conference (DASC), St. Petersburg, FL, 2017, pp. 1-9
10.1109/DASC.2017.8102145
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Dealing with Commercial off-the-shelf (COTS) com- ponents is a daily business for avionic system manufacturers. They are necessary ingredients for hardware designs, but are not built in accordance with the avionics consensus standard DO- 254 for Airborne Electronic Hardware (AEH) design. Especially for complex COTS h...
[ { "created": "Mon, 26 Mar 2018 06:15:09 GMT", "version": "v1" } ]
2018-03-28
[ [ "Schwierz", "Andreas", "" ], [ "Forsberg", "Håkan", "" ] ]
Dealing with Commercial off-the-shelf (COTS) com- ponents is a daily business for avionic system manufacturers. They are necessary ingredients for hardware designs, but are not built in accordance with the avionics consensus standard DO- 254 for Airborne Electronic Hardware (AEH) design. Especially for complex COTS har...
1806.04725
Dongqing Zhang
Dongqing Zhang, Jianing Wang, Jack H. Noble, Benoit M. Dawant
Accurate Detection of Inner Ears in Head CTs Using a Deep Volume-to-Volume Regression Network with False Positive Suppression and a Shape-Based Constraint
Accepted to MICCAI 2018
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cochlear implants (CIs) are neural prosthetics which are used to treat patients with hearing loss. CIs use an array of electrodes which are surgically inserted into the cochlea to stimulate the auditory nerve endings. After surgery, CIs need to be programmed. Studies have shown that the spatial relationship between t...
[ { "created": "Tue, 12 Jun 2018 19:19:00 GMT", "version": "v1" } ]
2018-06-14
[ [ "Zhang", "Dongqing", "" ], [ "Wang", "Jianing", "" ], [ "Noble", "Jack H.", "" ], [ "Dawant", "Benoit M.", "" ] ]
Cochlear implants (CIs) are neural prosthetics which are used to treat patients with hearing loss. CIs use an array of electrodes which are surgically inserted into the cochlea to stimulate the auditory nerve endings. After surgery, CIs need to be programmed. Studies have shown that the spatial relationship between the...
1212.1984
Nicolas Emilio Bordenabe
Miguel E. Andr\'es, Nicol\'as E. Bordenabe, Konstantinos Chatzikokolakis, and Catuscia Palamidessi
Geo-Indistinguishability: Differential Privacy for Location-Based Systems
15 pages
Proceedings of the 2013 ACM SIGSAC conference on Computer and Communications Security (CCS'13), ACM, pp. 901-914, 2013
10.1145/2508859.2516735
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The growing popularity of location-based systems, allowing unknown/untrusted servers to easily collect huge amounts of information regarding users' location, has recently started raising serious privacy concerns. In this paper we study geo-indistinguishability, a formal notion of privacy for location-based systems th...
[ { "created": "Mon, 10 Dec 2012 07:09:21 GMT", "version": "v1" }, { "created": "Fri, 24 May 2013 18:39:23 GMT", "version": "v2" }, { "created": "Thu, 20 Feb 2014 15:39:48 GMT", "version": "v3" } ]
2014-02-21
[ [ "Andrés", "Miguel E.", "" ], [ "Bordenabe", "Nicolás E.", "" ], [ "Chatzikokolakis", "Konstantinos", "" ], [ "Palamidessi", "Catuscia", "" ] ]
The growing popularity of location-based systems, allowing unknown/untrusted servers to easily collect huge amounts of information regarding users' location, has recently started raising serious privacy concerns. In this paper we study geo-indistinguishability, a formal notion of privacy for location-based systems that...
1902.01091
Isaac Lera
Isaac Lera, Carlos Guerrero, Carlos Juiz
YAFS: A simulator for IoT scenarios in fog computing
null
null
10.1109/ACCESS.2019.2927895
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a fog computing simulator for analysing the design and deployment of applications through customized and dynamical strategies. We model the relationships among deployed applications, network connections and infrastructure characteristics through complex network theory, enabling the integration of topologic...
[ { "created": "Mon, 4 Feb 2019 09:07:20 GMT", "version": "v1" } ]
2019-07-19
[ [ "Lera", "Isaac", "" ], [ "Guerrero", "Carlos", "" ], [ "Juiz", "Carlos", "" ] ]
We propose a fog computing simulator for analysing the design and deployment of applications through customized and dynamical strategies. We model the relationships among deployed applications, network connections and infrastructure characteristics through complex network theory, enabling the integration of topological...
2305.15894
Seolhwa Lee
Seolhwa Lee, Anders S{\o}gaard
Private Meeting Summarization Without Performance Loss
SIGIR23 Main conference
null
10.1145/3539618.3592042
null
cs.CL cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Meeting summarization has an enormous business potential, but in addition to being a hard problem, roll-out is challenged by privacy concerns. We explore the problem of meeting summarization under differential privacy constraints and find, to our surprise, that while differential privacy leads to slightly lower perfo...
[ { "created": "Thu, 25 May 2023 09:48:50 GMT", "version": "v1" } ]
2023-05-26
[ [ "Lee", "Seolhwa", "" ], [ "Søgaard", "Anders", "" ] ]
Meeting summarization has an enormous business potential, but in addition to being a hard problem, roll-out is challenged by privacy concerns. We explore the problem of meeting summarization under differential privacy constraints and find, to our surprise, that while differential privacy leads to slightly lower perform...
1805.12233
Qiqi Yan
Kedar Dhamdhere and Mukund Sundararajan and Qiqi Yan
How Important Is a Neuron?
under submission
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The problem of attributing a deep network's prediction to its \emph{input/base} features is well-studied. We introduce the notion of \emph{conductance} to extend the notion of attribution to the understanding the importance of \emph{hidden} units. Informally, the conductance of a hidden unit of a deep network is th...
[ { "created": "Wed, 30 May 2018 21:26:22 GMT", "version": "v1" } ]
2018-06-01
[ [ "Dhamdhere", "Kedar", "" ], [ "Sundararajan", "Mukund", "" ], [ "Yan", "Qiqi", "" ] ]
The problem of attributing a deep network's prediction to its \emph{input/base} features is well-studied. We introduce the notion of \emph{conductance} to extend the notion of attribution to the understanding the importance of \emph{hidden} units. Informally, the conductance of a hidden unit of a deep network is the \e...
1904.09791
Seoung Wug Oh
Seoung Wug Oh, Joon-Young Lee, Ning Xu, Seon Joo Kim
Fast User-Guided Video Object Segmentation by Interaction-and-Propagation Networks
CVPR 2019
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a deep learning method for the interactive video object segmentation. Our method is built upon two core operations, interaction and propagation, and each operation is conducted by Convolutional Neural Networks. The two networks are connected both internally and externally so that the networks are trained j...
[ { "created": "Mon, 22 Apr 2019 10:17:46 GMT", "version": "v1" }, { "created": "Thu, 2 May 2019 09:17:22 GMT", "version": "v2" } ]
2019-05-03
[ [ "Oh", "Seoung Wug", "" ], [ "Lee", "Joon-Young", "" ], [ "Xu", "Ning", "" ], [ "Kim", "Seon Joo", "" ] ]
We present a deep learning method for the interactive video object segmentation. Our method is built upon two core operations, interaction and propagation, and each operation is conducted by Convolutional Neural Networks. The two networks are connected both internally and externally so that the networks are trained joi...
2008.01151
Kenneth Stewart
Kenneth Stewart, Garrick Orchard, Sumit Bam Shrestha, Emre Neftci
Online Few-shot Gesture Learning on a Neuromorphic Processor
10 pages, accepted by IEEE JETCAS
null
null
null
cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present the Surrogate-gradient Online Error-triggered Learning (SOEL) system for online few-shot learning on neuromorphic processors. The SOEL learning system uses a combination of transfer learning and principles of computational neuroscience and deep learning. We show that partially trained deep Spiking Neural N...
[ { "created": "Mon, 3 Aug 2020 19:39:54 GMT", "version": "v1" }, { "created": "Wed, 14 Oct 2020 05:13:05 GMT", "version": "v2" } ]
2020-10-15
[ [ "Stewart", "Kenneth", "" ], [ "Orchard", "Garrick", "" ], [ "Shrestha", "Sumit Bam", "" ], [ "Neftci", "Emre", "" ] ]
We present the Surrogate-gradient Online Error-triggered Learning (SOEL) system for online few-shot learning on neuromorphic processors. The SOEL learning system uses a combination of transfer learning and principles of computational neuroscience and deep learning. We show that partially trained deep Spiking Neural Net...
2109.09233
Ipek Baris Schlicht
Ipek Baris Schlicht and Angel Felipe Magnoss\~ao de Paula
Unified and Multilingual Author Profiling for Detecting Haters
9 pages, 2 figures, see the original paper: http://ceur-ws.org/Vol-2936/paper-157.pdf
Published at the CLEF 2021
null
null
cs.CL cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
This paper presents a unified user profiling framework to identify hate speech spreaders by processing their tweets regardless of the language. The framework encodes the tweets with sentence transformers and applies an attention mechanism to select important tweets for learning user profiles. Furthermore, the attenti...
[ { "created": "Sun, 19 Sep 2021 21:53:23 GMT", "version": "v1" } ]
2021-09-21
[ [ "Schlicht", "Ipek Baris", "" ], [ "de Paula", "Angel Felipe Magnossão", "" ] ]
This paper presents a unified user profiling framework to identify hate speech spreaders by processing their tweets regardless of the language. The framework encodes the tweets with sentence transformers and applies an attention mechanism to select important tweets for learning user profiles. Furthermore, the attention...
2010.01730
Shomik Jain
Shomik Jain, Abby K. Wood
Facebook Political Ads And Accountability: Outside Groups Are Most Negative, Especially When Hiding Donors
null
null
null
null
cs.CY cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The emergence of online political advertising has come with little regulation, allowing political advertisers on social media to avoid accountability. We analyze how transparency and accountability deficits caused by dark money and disappearing groups relate to the sentiment of political ads on Facebook. We obtained ...
[ { "created": "Mon, 5 Oct 2020 00:53:43 GMT", "version": "v1" }, { "created": "Sun, 24 Jan 2021 00:21:42 GMT", "version": "v2" }, { "created": "Thu, 2 Sep 2021 00:33:35 GMT", "version": "v3" }, { "created": "Fri, 26 Jan 2024 17:38:02 GMT", "version": "v4" } ]
2024-01-29
[ [ "Jain", "Shomik", "" ], [ "Wood", "Abby K.", "" ] ]
The emergence of online political advertising has come with little regulation, allowing political advertisers on social media to avoid accountability. We analyze how transparency and accountability deficits caused by dark money and disappearing groups relate to the sentiment of political ads on Facebook. We obtained 43...
2012.11554
Yufeng Zhang
Zhuoran Yang, Yufeng Zhang, Yongxin Chen, Zhaoran Wang
Variational Transport: A Convergent Particle-BasedAlgorithm for Distributional Optimization
58 pages, add acknowledgement
null
null
null
cs.LG math.OC math.ST stat.ML stat.TH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the optimization problem of minimizing a functional defined over a family of probability distributions, where the objective functional is assumed to possess a variational form. Such a distributional optimization problem arises widely in machine learning and statistics, with Monte-Carlo sampling, variation...
[ { "created": "Mon, 21 Dec 2020 18:33:13 GMT", "version": "v1" }, { "created": "Mon, 1 Apr 2024 03:56:23 GMT", "version": "v2" } ]
2024-04-02
[ [ "Yang", "Zhuoran", "" ], [ "Zhang", "Yufeng", "" ], [ "Chen", "Yongxin", "" ], [ "Wang", "Zhaoran", "" ] ]
We consider the optimization problem of minimizing a functional defined over a family of probability distributions, where the objective functional is assumed to possess a variational form. Such a distributional optimization problem arises widely in machine learning and statistics, with Monte-Carlo sampling, variational...
2109.00442
Anik Saha
Anik Saha, Catherine Finegan-Dollak, Ashish Verma
Position Masking for Improved Layout-Aware Document Understanding
Document Intelligence Workshop at KDD, 2021
null
null
null
cs.CL cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
Natural language processing for document scans and PDFs has the potential to enormously improve the efficiency of business processes. Layout-aware word embeddings such as LayoutLM have shown promise for classification of and information extraction from such documents. This paper proposes a new pre-training task calle...
[ { "created": "Wed, 1 Sep 2021 15:40:15 GMT", "version": "v1" } ]
2021-09-02
[ [ "Saha", "Anik", "" ], [ "Finegan-Dollak", "Catherine", "" ], [ "Verma", "Ashish", "" ] ]
Natural language processing for document scans and PDFs has the potential to enormously improve the efficiency of business processes. Layout-aware word embeddings such as LayoutLM have shown promise for classification of and information extraction from such documents. This paper proposes a new pre-training task called ...
2406.13237
Ke Zhang
Ke Zhang, Vishal M. Patel
ModelMix: A New Model-Mixup Strategy to Minimize Vicinal Risk across Tasks for Few-scribble based Cardiac Segmentation
10 pages, 3 figures
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Pixel-level dense labeling is both resource-intensive and time-consuming, whereas weak labels such as scribble present a more feasible alternative to full annotations. However, training segmentation networks with weak supervision from scribbles remains challenging. Inspired by the fact that different segmentation tas...
[ { "created": "Wed, 19 Jun 2024 05:58:11 GMT", "version": "v1" } ]
2024-06-21
[ [ "Zhang", "Ke", "" ], [ "Patel", "Vishal M.", "" ] ]
Pixel-level dense labeling is both resource-intensive and time-consuming, whereas weak labels such as scribble present a more feasible alternative to full annotations. However, training segmentation networks with weak supervision from scribbles remains challenging. Inspired by the fact that different segmentation tasks...
2205.10611
Xiang Xiang
Shiqi Li, Xiang Xiang
Lightweight Human Pose Estimation Using Heatmap-Weighting Loss
7 pages, 5 figures
null
null
null
cs.CV cs.AI cs.LG cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent research on human pose estimation exploits complex structures to improve performance on benchmark datasets, ignoring the resource overhead and inference speed when the model is actually deployed. In this paper, we lighten the computation cost and parameters of the deconvolution head network in SimpleBaseline a...
[ { "created": "Sat, 21 May 2022 14:26:14 GMT", "version": "v1" } ]
2022-05-24
[ [ "Li", "Shiqi", "" ], [ "Xiang", "Xiang", "" ] ]
Recent research on human pose estimation exploits complex structures to improve performance on benchmark datasets, ignoring the resource overhead and inference speed when the model is actually deployed. In this paper, we lighten the computation cost and parameters of the deconvolution head network in SimpleBaseline and...
1907.08027
Johan Ferret
Johan Ferret, Rapha\"el Marinier, Matthieu Geist and Olivier Pietquin
Self-Attentional Credit Assignment for Transfer in Reinforcement Learning
21 pages, 10 figures, 3 tables (accepted as an oral presentation at the Learning Transferable Skills workshop, NeurIPS 2019)
International Joint Conference on Artificial Intelligence. 29 (2020) 2655-2661
10.24963/ijcai.2020/368
null
cs.LG cs.AI
http://creativecommons.org/licenses/by-nc-sa/4.0/
The ability to transfer knowledge to novel environments and tasks is a sensible desiderata for general learning agents. Despite the apparent promises, transfer in RL is still an open and little exploited research area. In this paper, we take a brand-new perspective about transfer: we suggest that the ability to assig...
[ { "created": "Thu, 18 Jul 2019 13:02:16 GMT", "version": "v1" }, { "created": "Fri, 22 Nov 2019 14:22:44 GMT", "version": "v2" } ]
2020-10-13
[ [ "Ferret", "Johan", "" ], [ "Marinier", "Raphaël", "" ], [ "Geist", "Matthieu", "" ], [ "Pietquin", "Olivier", "" ] ]
The ability to transfer knowledge to novel environments and tasks is a sensible desiderata for general learning agents. Despite the apparent promises, transfer in RL is still an open and little exploited research area. In this paper, we take a brand-new perspective about transfer: we suggest that the ability to assign ...
2306.08057
Nan Jiang
Nan Jiang, Yexiang Xue
Symbolic Regression via Control Variable Genetic Programming
null
null
null
null
cs.NE cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
Learning symbolic expressions directly from experiment data is a vital step in AI-driven scientific discovery. Nevertheless, state-of-the-art approaches are limited to learning simple expressions. Regressing expressions involving many independent variables still remain out of reach. Motivated by the control variable ...
[ { "created": "Thu, 25 May 2023 04:11:14 GMT", "version": "v1" } ]
2023-06-16
[ [ "Jiang", "Nan", "" ], [ "Xue", "Yexiang", "" ] ]
Learning symbolic expressions directly from experiment data is a vital step in AI-driven scientific discovery. Nevertheless, state-of-the-art approaches are limited to learning simple expressions. Regressing expressions involving many independent variables still remain out of reach. Motivated by the control variable ex...
1905.12594
Hengchu Zhang
Hengchu Zhang, Edo Roth, Andreas Haeberlen, Benjamin C. Pierce, Aaron Roth
Fuzzi: A Three-Level Logic for Differential Privacy
null
null
null
null
cs.PL cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Curators of sensitive datasets sometimes need to know whether queries against the data are differentially private [Dwork et al. 2006]. Two sorts of logics have been proposed for checking this property: (1) type systems and other static analyses, which fully automate straightforward reasoning with concepts like "progr...
[ { "created": "Wed, 29 May 2019 17:13:41 GMT", "version": "v1" } ]
2019-06-10
[ [ "Zhang", "Hengchu", "" ], [ "Roth", "Edo", "" ], [ "Haeberlen", "Andreas", "" ], [ "Pierce", "Benjamin C.", "" ], [ "Roth", "Aaron", "" ] ]
Curators of sensitive datasets sometimes need to know whether queries against the data are differentially private [Dwork et al. 2006]. Two sorts of logics have been proposed for checking this property: (1) type systems and other static analyses, which fully automate straightforward reasoning with concepts like "program...
1604.03757
Saber Shokat Fadaee
Saber Shokat Fadaee, Mohammad Sajjad Ghaemi, Ravi Sundaram, Hossein Azari Soufiani
Chiron: A Robust Recommendation System with Graph Regularizer
null
null
null
null
cs.IR cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recommendation systems have been widely used by commercial service providers for giving suggestions to users. Collaborative filtering (CF) systems, one of the most popular recommendation systems, utilize the history of behaviors of the aggregate user-base to provide individual recommendations and are effective when a...
[ { "created": "Wed, 13 Apr 2016 13:16:44 GMT", "version": "v1" }, { "created": "Tue, 15 Nov 2016 20:48:15 GMT", "version": "v2" } ]
2016-11-16
[ [ "Fadaee", "Saber Shokat", "" ], [ "Ghaemi", "Mohammad Sajjad", "" ], [ "Sundaram", "Ravi", "" ], [ "Soufiani", "Hossein Azari", "" ] ]
Recommendation systems have been widely used by commercial service providers for giving suggestions to users. Collaborative filtering (CF) systems, one of the most popular recommendation systems, utilize the history of behaviors of the aggregate user-base to provide individual recommendations and are effective when alm...
1502.04933
Chen He Mr.
Chen He, Z. Jane Wang, and Victor C.M. Leung
Block-Level Unitary Query: Incorporating Orthogonal-like Space-time Code with Query Diversity for MIMO Backscatter RFID
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Because of the emerging field of Internet of Things (IoT), future backscatter RFID is required to be more reliable and data intensive. Motivated by this, orthogonal space-time block code (OSTBC), which is very successful in mobile communications for its low complexity and high performance, has already been investigat...
[ { "created": "Tue, 17 Feb 2015 15:49:56 GMT", "version": "v1" } ]
2015-02-18
[ [ "He", "Chen", "" ], [ "Wang", "Z. Jane", "" ], [ "Leung", "Victor C. M.", "" ] ]
Because of the emerging field of Internet of Things (IoT), future backscatter RFID is required to be more reliable and data intensive. Motivated by this, orthogonal space-time block code (OSTBC), which is very successful in mobile communications for its low complexity and high performance, has already been investigated...
2207.11167
Robert Grossman
Robert L. Grossman
Ten Lessons for Data Sharing With a Data Commons
null
null
null
null
cs.DC
http://creativecommons.org/licenses/by/4.0/
A data commons is a cloud-based data platform with a governance structure that allows a community to manage, analyze and share its data. Data commons provide a research community with the ability to manage and analyze large datasets using the elastic scalability provided by cloud computing and to share data securely ...
[ { "created": "Fri, 22 Jul 2022 16:12:33 GMT", "version": "v1" } ]
2022-07-25
[ [ "Grossman", "Robert L.", "" ] ]
A data commons is a cloud-based data platform with a governance structure that allows a community to manage, analyze and share its data. Data commons provide a research community with the ability to manage and analyze large datasets using the elastic scalability provided by cloud computing and to share data securely an...
1610.02806
Yao Zhou
Yao Zhou, Cong Liu and Yan Pan
Modelling Sentence Pairs with Tree-structured Attentive Encoder
10 pages, 3 figures, COLING2016
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
We describe an attentive encoder that combines tree-structured recursive neural networks and sequential recurrent neural networks for modelling sentence pairs. Since existing attentive models exert attention on the sequential structure, we propose a way to incorporate attention into the tree topology. Specially, give...
[ { "created": "Mon, 10 Oct 2016 08:52:36 GMT", "version": "v1" } ]
2016-10-11
[ [ "Zhou", "Yao", "" ], [ "Liu", "Cong", "" ], [ "Pan", "Yan", "" ] ]
We describe an attentive encoder that combines tree-structured recursive neural networks and sequential recurrent neural networks for modelling sentence pairs. Since existing attentive models exert attention on the sequential structure, we propose a way to incorporate attention into the tree topology. Specially, given ...
2310.14743
Harry Emerson
Harry Emerson, Ryan McConville and Matthew Guy
The Safety Challenges of Deep Learning in Real-World Type 1 Diabetes Management
15 pages, 3 figures
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
Blood glucose simulation allows the effectiveness of type 1 diabetes (T1D) management strategies to be evaluated without patient harm. Deep learning algorithms provide a promising avenue for extending simulator capabilities; however, these algorithms are limited in that they do not necessarily learn physiologically c...
[ { "created": "Mon, 23 Oct 2023 09:25:50 GMT", "version": "v1" } ]
2023-10-24
[ [ "Emerson", "Harry", "" ], [ "McConville", "Ryan", "" ], [ "Guy", "Matthew", "" ] ]
Blood glucose simulation allows the effectiveness of type 1 diabetes (T1D) management strategies to be evaluated without patient harm. Deep learning algorithms provide a promising avenue for extending simulator capabilities; however, these algorithms are limited in that they do not necessarily learn physiologically cor...
1708.03417
Seungkyun Hong
Seungkyun Hong, Seongchan Kim, Minsu Joh, Sa-kwang Song
GlobeNet: Convolutional Neural Networks for Typhoon Eye Tracking from Remote Sensing Imagery
Under review as a workshop paper at CI 2017
null
null
null
cs.NE cs.AI cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Advances in remote sensing technologies have made it possible to use high-resolution visual data for weather observation and forecasting tasks. We propose the use of multi-layer neural networks for understanding complex atmospheric dynamics based on multichannel satellite images. The capability of our model was evalu...
[ { "created": "Fri, 11 Aug 2017 00:41:56 GMT", "version": "v1" } ]
2017-11-30
[ [ "Hong", "Seungkyun", "" ], [ "Kim", "Seongchan", "" ], [ "Joh", "Minsu", "" ], [ "Song", "Sa-kwang", "" ] ]
Advances in remote sensing technologies have made it possible to use high-resolution visual data for weather observation and forecasting tasks. We propose the use of multi-layer neural networks for understanding complex atmospheric dynamics based on multichannel satellite images. The capability of our model was evaluat...
2309.04663
Xinyi Wang
Xinyi Wang, John Wieting, Jonathan H. Clark
FIAT: Fusing learning paradigms with Instruction-Accelerated Tuning
null
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
Learning paradigms for large language models (LLMs) currently tend to fall within either in-context learning (ICL) or full fine-tuning. Each of these comes with their own trade-offs based on available data, model size, compute cost, ease-of-use, and final quality with neither solution performing well across-the-board...
[ { "created": "Sat, 9 Sep 2023 02:43:48 GMT", "version": "v1" }, { "created": "Tue, 12 Sep 2023 14:34:03 GMT", "version": "v2" } ]
2023-09-13
[ [ "Wang", "Xinyi", "" ], [ "Wieting", "John", "" ], [ "Clark", "Jonathan H.", "" ] ]
Learning paradigms for large language models (LLMs) currently tend to fall within either in-context learning (ICL) or full fine-tuning. Each of these comes with their own trade-offs based on available data, model size, compute cost, ease-of-use, and final quality with neither solution performing well across-the-board. ...
2407.03471
Benno Krojer
Benno Krojer, Dheeraj Vattikonda, Luis Lara, Varun Jampani, Eva Portelance, Christopher Pal, Siva Reddy
Learning Action and Reasoning-Centric Image Editing from Videos and Simulations
Submitted to NeurIPS (Dataset & Benchmarks)
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
An image editing model should be able to perform diverse edits, ranging from object replacement, changing attributes or style, to performing actions or movement, which require many forms of reasoning. Current general instruction-guided editing models have significant shortcomings with action and reasoning-centric edi...
[ { "created": "Wed, 3 Jul 2024 19:36:33 GMT", "version": "v1" }, { "created": "Fri, 9 Aug 2024 22:03:59 GMT", "version": "v2" } ]
2024-08-13
[ [ "Krojer", "Benno", "" ], [ "Vattikonda", "Dheeraj", "" ], [ "Lara", "Luis", "" ], [ "Jampani", "Varun", "" ], [ "Portelance", "Eva", "" ], [ "Pal", "Christopher", "" ], [ "Reddy", "Siva", "" ] ]
An image editing model should be able to perform diverse edits, ranging from object replacement, changing attributes or style, to performing actions or movement, which require many forms of reasoning. Current general instruction-guided editing models have significant shortcomings with action and reasoning-centric edits...
2112.11806
Alice Tarzariol
Alice Tarzariol, Martin Gebser, Konstantin Schekotihin
Lifting Symmetry Breaking Constraints with Inductive Logic Programming
to appear in Machine Learning Journal
Machine Learning (2022)
10.1007/s10994-022-06146-3
null
cs.LO cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Efficient omission of symmetric solution candidates is essential for combinatorial problem-solving. Most of the existing approaches are instance-specific and focus on the automatic computation of Symmetry Breaking Constraints (SBCs) for each given problem instance. However, the application of such approaches to large...
[ { "created": "Wed, 22 Dec 2021 11:27:48 GMT", "version": "v1" }, { "created": "Thu, 23 Dec 2021 12:41:28 GMT", "version": "v2" } ]
2022-04-26
[ [ "Tarzariol", "Alice", "" ], [ "Gebser", "Martin", "" ], [ "Schekotihin", "Konstantin", "" ] ]
Efficient omission of symmetric solution candidates is essential for combinatorial problem-solving. Most of the existing approaches are instance-specific and focus on the automatic computation of Symmetry Breaking Constraints (SBCs) for each given problem instance. However, the application of such approaches to large-s...
1309.7959
Laurens Bliek
Laurens Bliek
Exploration and Exploitation in Visuomotor Prediction of Autonomous Agents
Award-winning paper of the internal conference 'Almende research workshop 2013'
null
null
null
cs.LG cs.CV math.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper discusses various techniques to let an agent learn how to predict the effects of its own actions on its sensor data autonomously, and their usefulness to apply them to visual sensors. An Extreme Learning Machine is used for visuomotor prediction, while various autonomous control techniques that can aid the...
[ { "created": "Thu, 19 Sep 2013 07:10:53 GMT", "version": "v1" } ]
2013-10-01
[ [ "Bliek", "Laurens", "" ] ]
This paper discusses various techniques to let an agent learn how to predict the effects of its own actions on its sensor data autonomously, and their usefulness to apply them to visual sensors. An Extreme Learning Machine is used for visuomotor prediction, while various autonomous control techniques that can aid the p...
2006.16529
Jia Zou
Jia Zou, Amitabh Das, Pratik Barhate, Arun Iyengar, Binhang Yuan, Dimitrije Jankov, Chris Jermaine
Lachesis: Automatic Partitioning for UDF-Centric Analytics
In submission
null
null
null
cs.DB cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Persistent partitioning is effective in avoiding expensive shuffling operations. However it remains a significant challenge to automate this process for Big Data analytics workloads that extensively use user defined functions (UDFs), where sub-computations are hard to be reused for partitionings compared to relationa...
[ { "created": "Tue, 30 Jun 2020 04:49:44 GMT", "version": "v1" }, { "created": "Thu, 23 Jul 2020 02:15:27 GMT", "version": "v2" }, { "created": "Sun, 2 Aug 2020 00:25:31 GMT", "version": "v3" }, { "created": "Sat, 10 Oct 2020 08:43:46 GMT", "version": "v4" }, { "cr...
2021-02-23
[ [ "Zou", "Jia", "" ], [ "Das", "Amitabh", "" ], [ "Barhate", "Pratik", "" ], [ "Iyengar", "Arun", "" ], [ "Yuan", "Binhang", "" ], [ "Jankov", "Dimitrije", "" ], [ "Jermaine", "Chris", "" ] ]
Persistent partitioning is effective in avoiding expensive shuffling operations. However it remains a significant challenge to automate this process for Big Data analytics workloads that extensively use user defined functions (UDFs), where sub-computations are hard to be reused for partitionings compared to relational ...
2111.05402
Robin Weishaupt
Peter Kern, Daniel Neugebauer, J\"org Rothe, Ren\'e L. Schilling, Dietrich Stoyan, Robin Weishaupt
Cutting a Cake Is Not Always a 'Piece of Cake': A Closer Look at the Foundations of Cake-Cutting Through the Lens of Measure Theory
null
null
null
null
cs.GT cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cake-cutting is a playful name for the fair division of a heterogeneous, divisible good among agents, a well-studied problem at the intersection of mathematics, economics, and artificial intelligence. The cake-cutting literature is rich and edifying. However, different model assumptions are made in its many papers, i...
[ { "created": "Tue, 9 Nov 2021 20:18:41 GMT", "version": "v1" }, { "created": "Tue, 21 Nov 2023 19:52:10 GMT", "version": "v2" } ]
2023-11-23
[ [ "Kern", "Peter", "" ], [ "Neugebauer", "Daniel", "" ], [ "Rothe", "Jörg", "" ], [ "Schilling", "René L.", "" ], [ "Stoyan", "Dietrich", "" ], [ "Weishaupt", "Robin", "" ] ]
Cake-cutting is a playful name for the fair division of a heterogeneous, divisible good among agents, a well-studied problem at the intersection of mathematics, economics, and artificial intelligence. The cake-cutting literature is rich and edifying. However, different model assumptions are made in its many papers, in ...
1502.01157
Majed Haddad
Piotr Wiecek, Majed Haddad, Oussama Habachi and Yezekael Hayel
Toward Fully Coordinated Multi-level Multi-carrier Energy Efficient Networks
9 pages, 6 figures
null
null
null
cs.NI cs.GT cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Enabling coordination between products from different vendors is a key characteristic of the design philosophy behind future wireless communication networks. As an example, different devices may have different implementations, leading to different user experiences. A similar story emerges when devices running differe...
[ { "created": "Wed, 4 Feb 2015 11:13:00 GMT", "version": "v1" } ]
2015-02-05
[ [ "Wiecek", "Piotr", "" ], [ "Haddad", "Majed", "" ], [ "Habachi", "Oussama", "" ], [ "Hayel", "Yezekael", "" ] ]
Enabling coordination between products from different vendors is a key characteristic of the design philosophy behind future wireless communication networks. As an example, different devices may have different implementations, leading to different user experiences. A similar story emerges when devices running different...
2403.18761
Ningna Wang
Ningna Wang, Hui Huang, Shibo Song, Bin Wang, Wenping Wang, Xiaohu Guo
MATTopo: Topology-preserving Medial Axis Transform with Restricted Power Diagram
null
null
null
null
cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a novel topology-preserving 3D medial axis computation framework based on volumetric restricted power diagram (RPD), while preserving the medial features and geometric convergence simultaneously, for both 3D CAD and organic shapes. The volumetric RPD discretizes the input 3D volume into sub-regions given a...
[ { "created": "Wed, 27 Mar 2024 16:59:21 GMT", "version": "v1" }, { "created": "Tue, 21 May 2024 22:18:45 GMT", "version": "v2" } ]
2024-05-24
[ [ "Wang", "Ningna", "" ], [ "Huang", "Hui", "" ], [ "Song", "Shibo", "" ], [ "Wang", "Bin", "" ], [ "Wang", "Wenping", "" ], [ "Guo", "Xiaohu", "" ] ]
We present a novel topology-preserving 3D medial axis computation framework based on volumetric restricted power diagram (RPD), while preserving the medial features and geometric convergence simultaneously, for both 3D CAD and organic shapes. The volumetric RPD discretizes the input 3D volume into sub-regions given a s...
1511.08250
Bernardino Romera-Paredes
Bernardino Romera-Paredes, Philip H. S. Torr
Recurrent Instance Segmentation
14 pages (main paper). 24 pages including references and appendix
ECCV 2016. 14th European Conference on Computer Vision
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Instance segmentation is the problem of detecting and delineating each distinct object of interest appearing in an image. Current instance segmentation approaches consist of ensembles of modules that are trained independently of each other, thus missing opportunities for joint learning. Here we propose a new instance...
[ { "created": "Wed, 25 Nov 2015 23:28:14 GMT", "version": "v1" }, { "created": "Tue, 5 Apr 2016 22:45:04 GMT", "version": "v2" }, { "created": "Mon, 24 Oct 2016 23:57:19 GMT", "version": "v3" } ]
2016-10-26
[ [ "Romera-Paredes", "Bernardino", "" ], [ "Torr", "Philip H. S.", "" ] ]
Instance segmentation is the problem of detecting and delineating each distinct object of interest appearing in an image. Current instance segmentation approaches consist of ensembles of modules that are trained independently of each other, thus missing opportunities for joint learning. Here we propose a new instance s...
1910.03478
Javier Cabrera ARteaga
Javier Cabrera-Arteaga, Martin Monperrus and Benoit Baudry
Scalable Comparison of JavaScript V8 Bytecode Traces
10 pages, 6 figures, 2 tables,
Proceedings of the SPLASH workshop on Virtual Machines and Language Implementations (VMIL), 2019
10.1145/3358504.3361228
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The comparison and alignment of runtime traces are essential, e.g., for semantic analysis or debugging. However, naive sequence alignment algorithms cannot address the needs of the modern web: (i) the bytecode generation process of V8 is not deterministic; (ii) bytecode traces are large. We present STRAC, a scalabl...
[ { "created": "Tue, 8 Oct 2019 15:46:42 GMT", "version": "v1" } ]
2019-10-17
[ [ "Cabrera-Arteaga", "Javier", "" ], [ "Monperrus", "Martin", "" ], [ "Baudry", "Benoit", "" ] ]
The comparison and alignment of runtime traces are essential, e.g., for semantic analysis or debugging. However, naive sequence alignment algorithms cannot address the needs of the modern web: (i) the bytecode generation process of V8 is not deterministic; (ii) bytecode traces are large. We present STRAC, a scalable an...
2207.13126
Tao Lin
Tao Lin, Yiling Chen
Sample Complexity of Forecast Aggregation
Accepted by NeurIPS 2023 (spotlight)
null
null
null
cs.LG cs.GT econ.TH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider a Bayesian forecast aggregation model where $n$ experts, after observing private signals about an unknown binary event, report their posterior beliefs about the event to a principal, who then aggregates the reports into a single prediction for the event. The signals of the experts and the outcome of the e...
[ { "created": "Tue, 26 Jul 2022 18:12:53 GMT", "version": "v1" }, { "created": "Mon, 7 Nov 2022 22:33:33 GMT", "version": "v2" }, { "created": "Thu, 1 Jun 2023 16:45:10 GMT", "version": "v3" }, { "created": "Tue, 10 Oct 2023 04:04:17 GMT", "version": "v4" } ]
2023-10-11
[ [ "Lin", "Tao", "" ], [ "Chen", "Yiling", "" ] ]
We consider a Bayesian forecast aggregation model where $n$ experts, after observing private signals about an unknown binary event, report their posterior beliefs about the event to a principal, who then aggregates the reports into a single prediction for the event. The signals of the experts and the outcome of the eve...
1411.6478
Francois Taiani
Roy Friedman, Michel Raynal (IUF, UR1, ASAP), Fran\c{c}ois Ta\"iani (UR1, ASAP)
Fisheye Consistency: Keeping Data in Synch in a Georeplicated World
null
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Over the last thirty years, numerous consistency conditions for replicated data have been proposed and implemented. Popular examples of such conditions include linearizability (or atomicity), sequential consistency, causal consistency, and eventual consistency. These consistency conditions are usually defined indepen...
[ { "created": "Mon, 24 Nov 2014 15:12:39 GMT", "version": "v1" }, { "created": "Thu, 22 Oct 2015 10:03:58 GMT", "version": "v2" } ]
2015-10-23
[ [ "Friedman", "Roy", "", "IUF, UR1, ASAP" ], [ "Raynal", "Michel", "", "IUF, UR1, ASAP" ], [ "Taïani", "François", "", "UR1, ASAP" ] ]
Over the last thirty years, numerous consistency conditions for replicated data have been proposed and implemented. Popular examples of such conditions include linearizability (or atomicity), sequential consistency, causal consistency, and eventual consistency. These consistency conditions are usually defined independe...
2207.06416
Rohit Shaw
Rohit Shaw
Collaborative Machine Learning-Driven Internet of Medical Things -- A Systematic Literature Review
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
The growing adoption of IoT devices for healthcare has enabled researchers to build intelligence using all the data produced by these devices. Monitoring and diagnosing health have been the two most common scenarios where such devices have proven beneficial. Achieving high prediction accuracy was a top priority initi...
[ { "created": "Wed, 13 Jul 2022 12:28:17 GMT", "version": "v1" } ]
2022-07-15
[ [ "Shaw", "Rohit", "" ] ]
The growing adoption of IoT devices for healthcare has enabled researchers to build intelligence using all the data produced by these devices. Monitoring and diagnosing health have been the two most common scenarios where such devices have proven beneficial. Achieving high prediction accuracy was a top priority initial...
2001.09415
Pengfei Zhu
Pengfei Zhu and Hai Zhao and Xiaoguang Li
DUMA: Reading Comprehension with Transposition Thinking
null
IEEE/ACM.Transactions.on.Audio.Speech.and.Language.Processing 30 (2022) 269-279
10.1109/TASLP.2021.3138683
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multi-choice Machine Reading Comprehension (MRC) requires model to decide the correct answer from a set of answer options when given a passage and a question. Thus in addition to a powerful Pre-trained Language Model (PrLM) as encoder, multi-choice MRC especially relies on a matching network design which is supposed ...
[ { "created": "Sun, 26 Jan 2020 07:35:02 GMT", "version": "v1" }, { "created": "Wed, 5 Feb 2020 13:59:48 GMT", "version": "v2" }, { "created": "Sat, 8 Feb 2020 03:47:36 GMT", "version": "v3" }, { "created": "Wed, 18 Mar 2020 12:53:23 GMT", "version": "v4" }, { "cre...
2022-01-17
[ [ "Zhu", "Pengfei", "" ], [ "Zhao", "Hai", "" ], [ "Li", "Xiaoguang", "" ] ]
Multi-choice Machine Reading Comprehension (MRC) requires model to decide the correct answer from a set of answer options when given a passage and a question. Thus in addition to a powerful Pre-trained Language Model (PrLM) as encoder, multi-choice MRC especially relies on a matching network design which is supposed to...
1909.04715
Ahmed Khaled
Ahmed Khaled and Konstantin Mishchenko and Peter Richt\'arik
First Analysis of Local GD on Heterogeneous Data
NeurIPS 2019 Workshop on Federated Learning for Data Privacy and Confidentiality. 11 pages, 4 lemmas, 1 theorem
null
null
null
cs.LG cs.DC cs.NA math.NA math.OC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We provide the first convergence analysis of local gradient descent for minimizing the average of smooth and convex but otherwise arbitrary functions. Problems of this form and local gradient descent as a solution method are of importance in federated learning, where each function is based on private data stored by a...
[ { "created": "Tue, 10 Sep 2019 19:46:13 GMT", "version": "v1" }, { "created": "Wed, 18 Mar 2020 13:25:03 GMT", "version": "v2" } ]
2020-03-19
[ [ "Khaled", "Ahmed", "" ], [ "Mishchenko", "Konstantin", "" ], [ "Richtárik", "Peter", "" ] ]
We provide the first convergence analysis of local gradient descent for minimizing the average of smooth and convex but otherwise arbitrary functions. Problems of this form and local gradient descent as a solution method are of importance in federated learning, where each function is based on private data stored by a u...
2401.13789
Armand Stricker
Armand Stricker, Patrick Paroubek
A Unified Approach to Emotion Detection and Task-Oriented Dialogue Modeling
Accepted @ IWSDS 2024
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In current text-based task-oriented dialogue (TOD) systems, user emotion detection (ED) is often overlooked or is typically treated as a separate and independent task, requiring additional training. In contrast, our work demonstrates that seamlessly unifying ED and TOD modeling brings about mutual benefits, and is th...
[ { "created": "Wed, 24 Jan 2024 20:17:11 GMT", "version": "v1" }, { "created": "Mon, 19 Feb 2024 16:18:40 GMT", "version": "v2" }, { "created": "Fri, 28 Jun 2024 10:23:29 GMT", "version": "v3" } ]
2024-07-01
[ [ "Stricker", "Armand", "" ], [ "Paroubek", "Patrick", "" ] ]
In current text-based task-oriented dialogue (TOD) systems, user emotion detection (ED) is often overlooked or is typically treated as a separate and independent task, requiring additional training. In contrast, our work demonstrates that seamlessly unifying ED and TOD modeling brings about mutual benefits, and is ther...
1401.3855
Michael Benisch
Michael Benisch, George B. Davis, Tuomas Sandholm
Algorithms for Closed Under Rational Behavior (CURB) Sets
null
Journal Of Artificial Intelligence Research, Volume 38, pages 513-534, 2010
10.1613/jair.3070
null
cs.GT cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We provide a series of algorithms demonstrating that solutions according to the fundamental game-theoretic solution concept of closed under rational behavior (CURB) sets in two-player, normal-form games can be computed in polynomial time (we also discuss extensions to n-player games). First, we describe an algorithm ...
[ { "created": "Thu, 16 Jan 2014 05:01:13 GMT", "version": "v1" } ]
2014-01-17
[ [ "Benisch", "Michael", "" ], [ "Davis", "George B.", "" ], [ "Sandholm", "Tuomas", "" ] ]
We provide a series of algorithms demonstrating that solutions according to the fundamental game-theoretic solution concept of closed under rational behavior (CURB) sets in two-player, normal-form games can be computed in polynomial time (we also discuss extensions to n-player games). First, we describe an algorithm th...
1906.04924
Shawn Meier
Shawn Meier, Sergio Mover, and Bor-Yuh Evan Chang
Lifestate: Event-Driven Protocols and Callback Control Flow (Extended Version)
26 pages, 11 figures, ECOOP 2019
null
10.4230/LIPIcs.ECOOP.2019.4
null
cs.PL cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Developing interactive applications (apps) against event-driven software frameworks such as Android is notoriously difficult. To create apps that behave as expected, developers must follow complex and often implicit asynchronous programming protocols. Such protocols intertwine the proper registering of callbacks to r...
[ { "created": "Wed, 12 Jun 2019 03:36:11 GMT", "version": "v1" }, { "created": "Thu, 13 Jun 2019 01:40:21 GMT", "version": "v2" } ]
2019-06-14
[ [ "Meier", "Shawn", "" ], [ "Mover", "Sergio", "" ], [ "Chang", "Bor-Yuh Evan", "" ] ]
Developing interactive applications (apps) against event-driven software frameworks such as Android is notoriously difficult. To create apps that behave as expected, developers must follow complex and often implicit asynchronous programming protocols. Such protocols intertwine the proper registering of callbacks to rec...
2309.02395
Kush Jain
Kush Jain, Goutamkumar Tulajappa Kalburgi, Claire Le Goues, Alex Groce
Mind the Gap: The Difference Between Coverage and Mutation Score Can Guide Testing Efforts
null
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
An "adequate" test suite should effectively find all inconsistencies between a system's requirements/specifications and its implementation. Practitioners frequently use code coverage to approximate adequacy, while academics argue that mutation score may better approximate true (oracular) adequacy coverage. High code ...
[ { "created": "Tue, 5 Sep 2023 17:05:52 GMT", "version": "v1" } ]
2023-09-06
[ [ "Jain", "Kush", "" ], [ "Kalburgi", "Goutamkumar Tulajappa", "" ], [ "Goues", "Claire Le", "" ], [ "Groce", "Alex", "" ] ]
An "adequate" test suite should effectively find all inconsistencies between a system's requirements/specifications and its implementation. Practitioners frequently use code coverage to approximate adequacy, while academics argue that mutation score may better approximate true (oracular) adequacy coverage. High code co...
2009.05769
Jinpeng Wang
Jinpeng Wang, Yuting Gao, Ke Li, Yiqi Lin, Andy J. Ma, Hao Cheng, Pai Peng, Feiyue Huang, Rongrong Ji, Xing Sun
Removing the Background by Adding the Background: Towards Background Robust Self-supervised Video Representation Learning
CVPR2021 camera ready
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Self-supervised learning has shown great potentials in improving the video representation ability of deep neural networks by getting supervision from the data itself. However, some of the current methods tend to cheat from the background, i.e., the prediction is highly dependent on the video background instead of the...
[ { "created": "Sat, 12 Sep 2020 11:25:13 GMT", "version": "v1" }, { "created": "Wed, 18 Nov 2020 16:42:53 GMT", "version": "v2" }, { "created": "Wed, 3 Mar 2021 11:52:16 GMT", "version": "v3" }, { "created": "Thu, 22 Apr 2021 03:37:30 GMT", "version": "v4" } ]
2021-04-23
[ [ "Wang", "Jinpeng", "" ], [ "Gao", "Yuting", "" ], [ "Li", "Ke", "" ], [ "Lin", "Yiqi", "" ], [ "Ma", "Andy J.", "" ], [ "Cheng", "Hao", "" ], [ "Peng", "Pai", "" ], [ "Huang", "Feiyue", "" ...
Self-supervised learning has shown great potentials in improving the video representation ability of deep neural networks by getting supervision from the data itself. However, some of the current methods tend to cheat from the background, i.e., the prediction is highly dependent on the video background instead of the m...
1911.09245
Diogo Luvizon
Diogo C Luvizon, Hedi Tabia, David Picard
Consensus-based Optimization for 3D Human Pose Estimation in Camera Coordinates
Source code is available at https://github.com/dluvizon/3d-pose-consensus
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
3D human pose estimation is frequently seen as the task of estimating 3D poses relative to the root body joint. Alternatively, we propose a 3D human pose estimation method in camera coordinates, which allows effective combination of 2D annotated data and 3D poses and a straightforward multi-view generalization. To th...
[ { "created": "Thu, 21 Nov 2019 02:19:08 GMT", "version": "v1" }, { "created": "Thu, 28 Nov 2019 03:08:10 GMT", "version": "v2" }, { "created": "Fri, 20 Aug 2021 13:53:55 GMT", "version": "v3" } ]
2021-08-23
[ [ "Luvizon", "Diogo C", "" ], [ "Tabia", "Hedi", "" ], [ "Picard", "David", "" ] ]
3D human pose estimation is frequently seen as the task of estimating 3D poses relative to the root body joint. Alternatively, we propose a 3D human pose estimation method in camera coordinates, which allows effective combination of 2D annotated data and 3D poses and a straightforward multi-view generalization. To that...
2204.05365
Wael Fatnassi
Wael Fatnassi and Yasser shoukry
PolyARBerNN: A Neural Network Guided Solver and Optimizer for Bounded Polynomial Inequalities
null
null
null
null
cs.LO cs.SY eess.SY
http://creativecommons.org/licenses/by/4.0/
Constraints solvers play a significant role in the analysis, synthesis, and formal verification of complex embedded and cyber-physical systems. In this paper, we study the problem of designing a scalable constraints solver for an important class of constraints named polynomial constraint inequalities (also known as n...
[ { "created": "Mon, 11 Apr 2022 18:55:28 GMT", "version": "v1" }, { "created": "Thu, 15 Sep 2022 18:19:32 GMT", "version": "v2" } ]
2022-09-19
[ [ "Fatnassi", "Wael", "" ], [ "shoukry", "Yasser", "" ] ]
Constraints solvers play a significant role in the analysis, synthesis, and formal verification of complex embedded and cyber-physical systems. In this paper, we study the problem of designing a scalable constraints solver for an important class of constraints named polynomial constraint inequalities (also known as non...
2105.06024
Siva Somayyajula
Siva Somayyajula, Frank Pfenning
Type-Based Termination for Futures
23 pages. Extended version
null
null
null
cs.PL cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In sequential functional languages, sized types enable termination checking of programs with complex patterns of recursion in the presence of mixed inductive-coinductive types. In this paper, we adapt sized types and their metatheory to the concurrent setting. We extend the semi-axiomatic sequent calculus, a subsumin...
[ { "created": "Thu, 13 May 2021 01:21:30 GMT", "version": "v1" }, { "created": "Tue, 19 Oct 2021 17:59:48 GMT", "version": "v2" }, { "created": "Sat, 19 Feb 2022 00:12:37 GMT", "version": "v3" }, { "created": "Tue, 7 Mar 2023 17:58:49 GMT", "version": "v4" }, { "cr...
2024-04-16
[ [ "Somayyajula", "Siva", "" ], [ "Pfenning", "Frank", "" ] ]
In sequential functional languages, sized types enable termination checking of programs with complex patterns of recursion in the presence of mixed inductive-coinductive types. In this paper, we adapt sized types and their metatheory to the concurrent setting. We extend the semi-axiomatic sequent calculus, a subsuming ...
2312.10303
Shufan Wang
Shufan Wang, Guojun Xiong, Jian Li
Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints
AAAI 2024
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Restless multi-armed bandits (RMAB) have been widely used to model sequential decision making problems with constraints. The decision maker (DM) aims to maximize the expected total reward over an infinite horizon under an "instantaneous activation constraint" that at most B arms can be activated at any decision epoch...
[ { "created": "Sat, 16 Dec 2023 03:35:56 GMT", "version": "v1" }, { "created": "Fri, 22 Dec 2023 01:40:28 GMT", "version": "v2" } ]
2023-12-25
[ [ "Wang", "Shufan", "" ], [ "Xiong", "Guojun", "" ], [ "Li", "Jian", "" ] ]
Restless multi-armed bandits (RMAB) have been widely used to model sequential decision making problems with constraints. The decision maker (DM) aims to maximize the expected total reward over an infinite horizon under an "instantaneous activation constraint" that at most B arms can be activated at any decision epoch, ...
2310.00552
Guangxin Zhang
Guangxin Zhang, Shu Chen
Siamese Representation Learning for Unsupervised Relation Extraction
26th European Conference on Artificial Intelligence ECAI 2023
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Unsupervised relation extraction (URE) aims at discovering underlying relations between named entity pairs from open-domain plain text without prior information on relational distribution. Existing URE models utilizing contrastive learning, which attract positive samples and repulse negative samples to promote better...
[ { "created": "Sun, 1 Oct 2023 02:57:43 GMT", "version": "v1" } ]
2023-10-03
[ [ "Zhang", "Guangxin", "" ], [ "Chen", "Shu", "" ] ]
Unsupervised relation extraction (URE) aims at discovering underlying relations between named entity pairs from open-domain plain text without prior information on relational distribution. Existing URE models utilizing contrastive learning, which attract positive samples and repulse negative samples to promote better s...
2403.00087
Gianluca Redondi
Alessandro Cimatti, Alberto Griggio, Gianluca Redondi
Towards the verification of a generic interlocking logic: Dafny meets parameterized model checking
null
null
null
null
cs.LO
http://creativecommons.org/licenses/by/4.0/
Interlocking logics are at the core of critical systems controlling the traffic within stations. In this paper, we consider a generic interlocking logic, which can be instantiated to control a wide class of stations. We tackle the problem of parameterized verification, i.e. prove that the logic satisfies the required...
[ { "created": "Thu, 29 Feb 2024 19:27:45 GMT", "version": "v1" } ]
2024-03-04
[ [ "Cimatti", "Alessandro", "" ], [ "Griggio", "Alberto", "" ], [ "Redondi", "Gianluca", "" ] ]
Interlocking logics are at the core of critical systems controlling the traffic within stations. In this paper, we consider a generic interlocking logic, which can be instantiated to control a wide class of stations. We tackle the problem of parameterized verification, i.e. prove that the logic satisfies the required p...
2405.06574
Elham Ravanbakhsh
Elham Ravanbakhsh, Yongqing Liang, J. Ramanujam, Xin Li
Deep video representation learning: a survey
Multimedia Tools and Applications (2023) 1-31
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-nd/4.0/
This paper provides a review on representation learning for videos. We classify recent spatiotemporal feature learning methods for sequential visual data and compare their pros and cons for general video analysis. Building effective features for videos is a fundamental problem in computer vision tasks involving video...
[ { "created": "Fri, 10 May 2024 16:20:11 GMT", "version": "v1" } ]
2024-05-13
[ [ "Ravanbakhsh", "Elham", "" ], [ "Liang", "Yongqing", "" ], [ "Ramanujam", "J.", "" ], [ "Li", "Xin", "" ] ]
This paper provides a review on representation learning for videos. We classify recent spatiotemporal feature learning methods for sequential visual data and compare their pros and cons for general video analysis. Building effective features for videos is a fundamental problem in computer vision tasks involving video a...
1612.01294
Arnab Ghosh
Arnab Ghosh and Viveka Kulharia and Vinay Namboodiri
Message Passing Multi-Agent GANs
The first 2 authors contributed equally for this work
null
null
null
cs.CV cs.AI cs.LG cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Communicating and sharing intelligence among agents is an important facet of achieving Artificial General Intelligence. As a first step towards this challenge, we introduce a novel framework for image generation: Message Passing Multi-Agent Generative Adversarial Networks (MPM GANs). While GANs have recently been sho...
[ { "created": "Mon, 5 Dec 2016 10:10:13 GMT", "version": "v1" } ]
2016-12-06
[ [ "Ghosh", "Arnab", "" ], [ "Kulharia", "Viveka", "" ], [ "Namboodiri", "Vinay", "" ] ]
Communicating and sharing intelligence among agents is an important facet of achieving Artificial General Intelligence. As a first step towards this challenge, we introduce a novel framework for image generation: Message Passing Multi-Agent Generative Adversarial Networks (MPM GANs). While GANs have recently been shown...
1511.06314
Stefan Lee
Stefan Lee, Senthil Purushwalkam, Michael Cogswell, David Crandall, and Dhruv Batra
Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks
null
null
null
null
cs.CV cs.LG cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Convolutional Neural Networks have achieved state-of-the-art performance on a wide range of tasks. Most benchmarks are led by ensembles of these powerful learners, but ensembling is typically treated as a post-hoc procedure implemented by averaging independently trained models with model variation induced by bagging ...
[ { "created": "Thu, 19 Nov 2015 19:19:58 GMT", "version": "v1" } ]
2015-11-20
[ [ "Lee", "Stefan", "" ], [ "Purushwalkam", "Senthil", "" ], [ "Cogswell", "Michael", "" ], [ "Crandall", "David", "" ], [ "Batra", "Dhruv", "" ] ]
Convolutional Neural Networks have achieved state-of-the-art performance on a wide range of tasks. Most benchmarks are led by ensembles of these powerful learners, but ensembling is typically treated as a post-hoc procedure implemented by averaging independently trained models with model variation induced by bagging or...
2302.05895
Chuyuan Li
Chuyuan Li, Patrick Huber, Wen Xiao, Maxime Amblard, Chlo\'e Braud, Giuseppe Carenini
Discourse Structure Extraction from Pre-Trained and Fine-Tuned Language Models in Dialogues
null
Findings of the Association for Computational Linguistics: EACL 2023 (2023) 2562--2579
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Discourse processing suffers from data sparsity, especially for dialogues. As a result, we explore approaches to build discourse structures for dialogues, based on attention matrices from Pre-trained Language Models (PLMs). We investigate multiple tasks for fine-tuning and show that the dialogue-tailored Sentence Ord...
[ { "created": "Sun, 12 Feb 2023 11:26:10 GMT", "version": "v1" }, { "created": "Sun, 25 Jun 2023 10:19:00 GMT", "version": "v2" } ]
2023-06-27
[ [ "Li", "Chuyuan", "" ], [ "Huber", "Patrick", "" ], [ "Xiao", "Wen", "" ], [ "Amblard", "Maxime", "" ], [ "Braud", "Chloé", "" ], [ "Carenini", "Giuseppe", "" ] ]
Discourse processing suffers from data sparsity, especially for dialogues. As a result, we explore approaches to build discourse structures for dialogues, based on attention matrices from Pre-trained Language Models (PLMs). We investigate multiple tasks for fine-tuning and show that the dialogue-tailored Sentence Order...
1703.00195
Jakub Radoszewski
Amihood Amir, Costas S. Iliopoulos, and Jakub Radoszewski
Two strings at Hamming distance 1 cannot be both quasiperiodic
6 pages, 3 figures
null
null
null
cs.FL cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a generalization of a known fact from combinatorics on words related to periodicity into quasiperiodicity. A string is called periodic if it has a period which is at most half of its length. A string $w$ is called quasiperiodic if it has a non-trivial cover, that is, there exists a string $c$ that is short...
[ { "created": "Wed, 1 Mar 2017 09:38:07 GMT", "version": "v1" } ]
2017-03-02
[ [ "Amir", "Amihood", "" ], [ "Iliopoulos", "Costas S.", "" ], [ "Radoszewski", "Jakub", "" ] ]
We present a generalization of a known fact from combinatorics on words related to periodicity into quasiperiodicity. A string is called periodic if it has a period which is at most half of its length. A string $w$ is called quasiperiodic if it has a non-trivial cover, that is, there exists a string $c$ that is shorter...