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2402.17016
Han Xiao
Isabelle Mohr, Markus Krimmel, Saba Sturua, Mohammad Kalim Akram, Andreas Koukounas, Michael G\"unther, Georgios Mastrapas, Vinit Ravishankar, Joan Fontanals Mart\'inez, Feng Wang, Qi Liu, Ziniu Yu, Jie Fu, Saahil Ognawala, Susana Guzman, Bo Wang, Maximilian Werk, Nan Wang, Han Xiao
Multi-Task Contrastive Learning for 8192-Token Bilingual Text Embeddings
null
null
null
null
cs.CL cs.AI cs.IR
http://creativecommons.org/licenses/by/4.0/
We introduce a novel suite of state-of-the-art bilingual text embedding models that are designed to support English and another target language. These models are capable of processing lengthy text inputs with up to 8192 tokens, making them highly versatile for a range of natural language processing tasks such as text...
[ { "created": "Mon, 26 Feb 2024 20:53:12 GMT", "version": "v1" } ]
2024-02-28
[ [ "Mohr", "Isabelle", "" ], [ "Krimmel", "Markus", "" ], [ "Sturua", "Saba", "" ], [ "Akram", "Mohammad Kalim", "" ], [ "Koukounas", "Andreas", "" ], [ "Günther", "Michael", "" ], [ "Mastrapas", "Georgios", "...
We introduce a novel suite of state-of-the-art bilingual text embedding models that are designed to support English and another target language. These models are capable of processing lengthy text inputs with up to 8192 tokens, making them highly versatile for a range of natural language processing tasks such as text r...
2211.03199
Dominik Filipiak
Dominik Filipiak and Anna Fensel and Agata Filipowska
KGTN-ens: Few-Shot Image Classification with Knowledge Graph Ensembles
Applied Intelligence (2024)
null
10.1007/s10489-023-05129-8
null
cs.CV cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose KGTN-ens, a framework extending the recent Knowledge Graph Transfer Network (KGTN) in order to incorporate multiple knowledge graph embeddings at a small cost. We evaluate it with different combinations of embeddings in a few-shot image classification task. We also construct a new knowledge source - Wikida...
[ { "created": "Sun, 6 Nov 2022 18:44:04 GMT", "version": "v1" } ]
2024-01-29
[ [ "Filipiak", "Dominik", "" ], [ "Fensel", "Anna", "" ], [ "Filipowska", "Agata", "" ] ]
We propose KGTN-ens, a framework extending the recent Knowledge Graph Transfer Network (KGTN) in order to incorporate multiple knowledge graph embeddings at a small cost. We evaluate it with different combinations of embeddings in a few-shot image classification task. We also construct a new knowledge source - Wikidata...
1908.10620
Andrea Celli
Matteo Castiglioni, Andrea Celli, Nicola Gatti
Persuading Voters: It's Easy to Whisper, It's Hard to Speak Loud
null
null
null
null
cs.GT cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We focus on the following natural question: is it possible to influence the outcome of a voting process through the strategic provision of information to voters who update their beliefs rationally? We investigate whether it is computationally tractable to design a signaling scheme maximizing the probability with whic...
[ { "created": "Wed, 28 Aug 2019 10:05:41 GMT", "version": "v1" }, { "created": "Mon, 23 Sep 2019 14:39:32 GMT", "version": "v2" } ]
2019-09-24
[ [ "Castiglioni", "Matteo", "" ], [ "Celli", "Andrea", "" ], [ "Gatti", "Nicola", "" ] ]
We focus on the following natural question: is it possible to influence the outcome of a voting process through the strategic provision of information to voters who update their beliefs rationally? We investigate whether it is computationally tractable to design a signaling scheme maximizing the probability with which ...
2211.15901
Zichen He
Zichen He and Chunwei Song and Lu Dong
Multi-robot Social-aware Cooperative Planning in Pedestrian Environments Using Multi-agent Reinforcement Learning
null
null
null
null
cs.RO cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Safe and efficient co-planning of multiple robots in pedestrian participation environments is promising for applications. In this work, a novel multi-robot social-aware efficient cooperative planner that on the basis of off-policy multi-agent reinforcement learning (MARL) under partial dimension-varying observation a...
[ { "created": "Tue, 29 Nov 2022 03:38:47 GMT", "version": "v1" } ]
2022-11-30
[ [ "He", "Zichen", "" ], [ "Song", "Chunwei", "" ], [ "Dong", "Lu", "" ] ]
Safe and efficient co-planning of multiple robots in pedestrian participation environments is promising for applications. In this work, a novel multi-robot social-aware efficient cooperative planner that on the basis of off-policy multi-agent reinforcement learning (MARL) under partial dimension-varying observation and...
2210.00124
Honglin Chen
Honglin Chen, Rundi Wu, Eitan Grinspun, Changxi Zheng, Peter Yichen Chen
Implicit Neural Spatial Representations for Time-dependent PDEs
ICML 2023. Project page: http://www.cs.columbia.edu/cg/INSR-PDE/
null
null
null
cs.LG cs.CE cs.GR cs.NA math.NA
http://creativecommons.org/licenses/by/4.0/
Implicit Neural Spatial Representation (INSR) has emerged as an effective representation of spatially-dependent vector fields. This work explores solving time-dependent PDEs with INSR. Classical PDE solvers introduce both temporal and spatial discretizations. Common spatial discretizations include meshes and meshless...
[ { "created": "Fri, 30 Sep 2022 22:46:40 GMT", "version": "v1" }, { "created": "Wed, 31 May 2023 02:26:55 GMT", "version": "v2" } ]
2023-06-01
[ [ "Chen", "Honglin", "" ], [ "Wu", "Rundi", "" ], [ "Grinspun", "Eitan", "" ], [ "Zheng", "Changxi", "" ], [ "Chen", "Peter Yichen", "" ] ]
Implicit Neural Spatial Representation (INSR) has emerged as an effective representation of spatially-dependent vector fields. This work explores solving time-dependent PDEs with INSR. Classical PDE solvers introduce both temporal and spatial discretizations. Common spatial discretizations include meshes and meshless p...
2010.02481
Hoang Nguyen
Hoang Nguyen, Chenwei Zhang, Congying Xia, Philip S. Yu
Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection
10 pages, 3 figures. To appear in Findings of EMNLP 2020
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Few-shot Intent Detection is challenging due to the scarcity of available annotated utterances. Although recent works demonstrate that multi-level matching plays an important role in transferring learned knowledge from seen training classes to novel testing classes, they rely on a static similarity measure and overly...
[ { "created": "Tue, 6 Oct 2020 05:16:38 GMT", "version": "v1" }, { "created": "Sun, 11 Oct 2020 06:07:12 GMT", "version": "v2" } ]
2020-10-13
[ [ "Nguyen", "Hoang", "" ], [ "Zhang", "Chenwei", "" ], [ "Xia", "Congying", "" ], [ "Yu", "Philip S.", "" ] ]
Few-shot Intent Detection is challenging due to the scarcity of available annotated utterances. Although recent works demonstrate that multi-level matching plays an important role in transferring learned knowledge from seen training classes to novel testing classes, they rely on a static similarity measure and overly f...
1310.4217
Bingni Brunton
B. W. Brunton, S. L. Brunton, J. L. Proctor, and J. N. Kutz
Optimal Sensor Placement and Enhanced Sparsity for Classification
13 pages, 11 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The goal of compressive sensing is efficient reconstruction of data from few measurements, sometimes leading to a categorical decision. If only classification is required, reconstruction can be circumvented and the measurements needed are orders-of-magnitude sparser still. We define enhanced sparsity as the reduction...
[ { "created": "Tue, 15 Oct 2013 21:41:17 GMT", "version": "v1" } ]
2013-10-17
[ [ "Brunton", "B. W.", "" ], [ "Brunton", "S. L.", "" ], [ "Proctor", "J. L.", "" ], [ "Kutz", "J. N.", "" ] ]
The goal of compressive sensing is efficient reconstruction of data from few measurements, sometimes leading to a categorical decision. If only classification is required, reconstruction can be circumvented and the measurements needed are orders-of-magnitude sparser still. We define enhanced sparsity as the reduction i...
2202.04428
Ron Dorfman
Ron Dorfman, Kfir Y. Levy
Adapting to Mixing Time in Stochastic Optimization with Markovian Data
ICML 2022
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider stochastic optimization problems where data is drawn from a Markov chain. Existing methods for this setting crucially rely on knowing the mixing time of the chain, which in real-world applications is usually unknown. We propose the first optimization method that does not require the knowledge of the mixin...
[ { "created": "Wed, 9 Feb 2022 12:43:11 GMT", "version": "v1" }, { "created": "Wed, 19 Oct 2022 16:05:15 GMT", "version": "v2" }, { "created": "Thu, 13 Jul 2023 16:05:28 GMT", "version": "v3" } ]
2023-07-14
[ [ "Dorfman", "Ron", "" ], [ "Levy", "Kfir Y.", "" ] ]
We consider stochastic optimization problems where data is drawn from a Markov chain. Existing methods for this setting crucially rely on knowing the mixing time of the chain, which in real-world applications is usually unknown. We propose the first optimization method that does not require the knowledge of the mixing ...
1503.03535
\c{C}a\u{g}lar G\"ul\c{c}ehre
Caglar Gulcehre, Orhan Firat, Kelvin Xu, Kyunghyun Cho, Loic Barrault, Huei-Chi Lin, Fethi Bougares, Holger Schwenk, Yoshua Bengio
On Using Monolingual Corpora in Neural Machine Translation
9 pages, 2 figures
null
null
null
cs.CL
http://creativecommons.org/licenses/by-nc-sa/3.0/
Recent work on end-to-end neural network-based architectures for machine translation has shown promising results for En-Fr and En-De translation. Arguably, one of the major factors behind this success has been the availability of high quality parallel corpora. In this work, we investigate how to leverage abundant mon...
[ { "created": "Wed, 11 Mar 2015 23:50:04 GMT", "version": "v1" }, { "created": "Fri, 12 Jun 2015 14:05:31 GMT", "version": "v2" } ]
2015-06-15
[ [ "Gulcehre", "Caglar", "" ], [ "Firat", "Orhan", "" ], [ "Xu", "Kelvin", "" ], [ "Cho", "Kyunghyun", "" ], [ "Barrault", "Loic", "" ], [ "Lin", "Huei-Chi", "" ], [ "Bougares", "Fethi", "" ], [ "Schwe...
Recent work on end-to-end neural network-based architectures for machine translation has shown promising results for En-Fr and En-De translation. Arguably, one of the major factors behind this success has been the availability of high quality parallel corpora. In this work, we investigate how to leverage abundant monol...
1607.00918
Vahid Aref
Vahid Aref, Narayanan Rengaswamy, Laurent Schmalen
Spatially Coupled LDPC Codes Affected by a Single Random Burst of Erasures
Accepted for presentation in 2016 International Symposium on Turbo Codes & Iterative Information Processing
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Spatially-Coupled LDPC (SC-LDPC) ensembles achieve the capacity of binary memoryless channels (BMS), asymptotically, under belief-propagation (BP) decoding. In this paper, we study the BP decoding of these code ensembles over a BMS channel and in the presence of a single random burst of erasures. We show that in the ...
[ { "created": "Mon, 4 Jul 2016 14:53:38 GMT", "version": "v1" } ]
2016-07-05
[ [ "Aref", "Vahid", "" ], [ "Rengaswamy", "Narayanan", "" ], [ "Schmalen", "Laurent", "" ] ]
Spatially-Coupled LDPC (SC-LDPC) ensembles achieve the capacity of binary memoryless channels (BMS), asymptotically, under belief-propagation (BP) decoding. In this paper, we study the BP decoding of these code ensembles over a BMS channel and in the presence of a single random burst of erasures. We show that in the li...
2304.14447
Tu Nguyen Anh
Nguyen Anh Tu, Hoang Thi Thu Uyen, Tu Minh Phuong, Ngo Xuan Bach
Analyzing Vietnamese Legal Questions Using Deep Neural Networks with Biaffine Classifiers
accepted as the oral presentation at ICONIP 2021
null
10.1007/978-3-030-92270-2_44
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
In this paper, we propose using deep neural networks to extract important information from Vietnamese legal questions, a fundamental task towards building a question answering system in the legal domain. Given a legal question in natural language, the goal is to extract all the segments that contain the needed inform...
[ { "created": "Thu, 27 Apr 2023 18:19:24 GMT", "version": "v1" } ]
2023-05-01
[ [ "Tu", "Nguyen Anh", "" ], [ "Uyen", "Hoang Thi Thu", "" ], [ "Phuong", "Tu Minh", "" ], [ "Bach", "Ngo Xuan", "" ] ]
In this paper, we propose using deep neural networks to extract important information from Vietnamese legal questions, a fundamental task towards building a question answering system in the legal domain. Given a legal question in natural language, the goal is to extract all the segments that contain the needed informat...
2404.07479
Xia Su
Xia Su, Han Zhang, Kaiming Cheng, Jaewook Lee, Qiaochu Liu, Wyatt Olson, Jon Froehlich
RASSAR: Room Accessibility and Safety Scanning in Augmented Reality
To Appear in CHI 2024
null
null
null
cs.HC
http://creativecommons.org/licenses/by-nc-sa/4.0/
The safety and accessibility of our homes is critical to quality of life and evolves as we age, become ill, host guests, or experience life events such as having children. Researchers and health professionals have created assessment instruments such as checklists that enable homeowners and trained experts to identify...
[ { "created": "Thu, 11 Apr 2024 05:12:13 GMT", "version": "v1" } ]
2024-04-12
[ [ "Su", "Xia", "" ], [ "Zhang", "Han", "" ], [ "Cheng", "Kaiming", "" ], [ "Lee", "Jaewook", "" ], [ "Liu", "Qiaochu", "" ], [ "Olson", "Wyatt", "" ], [ "Froehlich", "Jon", "" ] ]
The safety and accessibility of our homes is critical to quality of life and evolves as we age, become ill, host guests, or experience life events such as having children. Researchers and health professionals have created assessment instruments such as checklists that enable homeowners and trained experts to identify a...
1504.02921
Wei Liu Dr
Wei Liu
Antenna Array Signal Processing for Quaternion-Valued Wireless Communication Systems
3 pages, 5 figures, published in Proc. of the IEEE Benjamin Franklin Symposium on Microwave and Antenna Sub-systems (BenMAS), Philadelphia, US, September 2014
null
10.1109/BenMAS.2014.7529462
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Quaternion-valued wireless communication systems have been studied in the past. Although progress has been made in this promising area, a crucial missing link is lack of effective and efficient quaternion-valued signal processing algorithms for channel equalisation and beamforming. With most recent developments in qu...
[ { "created": "Sat, 11 Apr 2015 22:44:42 GMT", "version": "v1" } ]
2016-11-02
[ [ "Liu", "Wei", "" ] ]
Quaternion-valued wireless communication systems have been studied in the past. Although progress has been made in this promising area, a crucial missing link is lack of effective and efficient quaternion-valued signal processing algorithms for channel equalisation and beamforming. With most recent developments in quat...
1507.05272
Emilia Oikarinen
Laura Koponen and Emilia Oikarinen and Tomi Janhunen and Laura S\"ail\"a
Optimizing Phylogenetic Supertrees Using Answer Set Programming
To appear in Theory and Practice of Logic Programming (TPLP), Proceedings of ICLP 2015
Theory and Practice of Logic Programming 15 (2015) 604-619
10.1017/S1471068415000265
null
cs.CE cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The supertree construction problem is about combining several phylogenetic trees with possibly conflicting information into a single tree that has all the leaves of the source trees as its leaves and the relationships between the leaves are as consistent with the source trees as possible. This leads to an optimizatio...
[ { "created": "Sun, 19 Jul 2015 10:19:08 GMT", "version": "v1" } ]
2020-02-19
[ [ "Koponen", "Laura", "" ], [ "Oikarinen", "Emilia", "" ], [ "Janhunen", "Tomi", "" ], [ "Säilä", "Laura", "" ] ]
The supertree construction problem is about combining several phylogenetic trees with possibly conflicting information into a single tree that has all the leaves of the source trees as its leaves and the relationships between the leaves are as consistent with the source trees as possible. This leads to an optimization ...
2005.02218
Matthias Bentert
Luis M\"uller and Matthias Bentert
On Reachable Assignments in Cycles and Cliques
null
null
null
null
cs.MA cs.DM cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The efficient and fair distribution of indivisible resources among agents is a common problem in the field of \emph{Multi-Agent-Systems}. We consider a graph-based version of this problem called Reachable Assignments, introduced by Gourves, Lesca, and Wilczynski [AAAI, 2017]. The input for this problem consists of a ...
[ { "created": "Tue, 5 May 2020 14:23:55 GMT", "version": "v1" } ]
2020-05-06
[ [ "Müller", "Luis", "" ], [ "Bentert", "Matthias", "" ] ]
The efficient and fair distribution of indivisible resources among agents is a common problem in the field of \emph{Multi-Agent-Systems}. We consider a graph-based version of this problem called Reachable Assignments, introduced by Gourves, Lesca, and Wilczynski [AAAI, 2017]. The input for this problem consists of a se...
2403.08396
Bruno Pereira Cipriano
Bruno Pereira Cipriano, Pedro Alves, Paul Denny
A Picture Is Worth a Thousand Words: Exploring Diagram and Video-Based OOP Exercises to Counter LLM Over-Reliance
This is the author's draft of this paper
null
null
null
cs.SE cs.HC
http://creativecommons.org/licenses/by/4.0/
Much research has highlighted the impressive capabilities of large language models (LLMs), like GPT and Bard, for solving introductory programming exercises. Recent work has shown that LLMs can effectively solve a range of more complex object-oriented programming (OOP) exercises with text-based specifications. This r...
[ { "created": "Wed, 13 Mar 2024 10:21:29 GMT", "version": "v1" } ]
2024-03-14
[ [ "Cipriano", "Bruno Pereira", "" ], [ "Alves", "Pedro", "" ], [ "Denny", "Paul", "" ] ]
Much research has highlighted the impressive capabilities of large language models (LLMs), like GPT and Bard, for solving introductory programming exercises. Recent work has shown that LLMs can effectively solve a range of more complex object-oriented programming (OOP) exercises with text-based specifications. This rai...
2303.03174
Paolo Bova
Paolo Bova and Alessandro Di Stefano and The Anh Han
Both eyes open: Vigilant Incentives help Regulatory Markets improve AI Safety
null
null
null
null
cs.AI cs.CY cs.GT cs.MA econ.GN q-fin.EC
http://creativecommons.org/licenses/by/4.0/
In the context of rapid discoveries by leaders in AI, governments must consider how to design regulation that matches the increasing pace of new AI capabilities. Regulatory Markets for AI is a proposal designed with adaptability in mind. It involves governments setting outcome-based targets for AI companies to achiev...
[ { "created": "Mon, 6 Mar 2023 14:42:05 GMT", "version": "v1" } ]
2023-03-07
[ [ "Bova", "Paolo", "" ], [ "Di Stefano", "Alessandro", "" ], [ "Han", "The Anh", "" ] ]
In the context of rapid discoveries by leaders in AI, governments must consider how to design regulation that matches the increasing pace of new AI capabilities. Regulatory Markets for AI is a proposal designed with adaptability in mind. It involves governments setting outcome-based targets for AI companies to achieve,...
2307.01651
Jonas-Dario Troles
Jonas-Dario Troles and Richard Nieding and Sonia Simons and Ute Schmid
Task Planning Support for Arborists and Foresters: Comparing Deep Learning Approaches for Tree Inventory and Tree Vitality Assessment Based on UAV-Data
I4CS 2023: 23rd International Conference on Innovations for Community Services
null
null
null
cs.CV cs.CY
http://creativecommons.org/licenses/by-sa/4.0/
Climate crisis and correlating prolonged, more intense periods of drought threaten tree health in cities and forests. In consequence, arborists and foresters suffer from increasing workloads and, in the best case, a consistent but often declining workforce. To optimise workflows and increase productivity, we propose ...
[ { "created": "Tue, 4 Jul 2023 11:15:27 GMT", "version": "v1" } ]
2023-07-06
[ [ "Troles", "Jonas-Dario", "" ], [ "Nieding", "Richard", "" ], [ "Simons", "Sonia", "" ], [ "Schmid", "Ute", "" ] ]
Climate crisis and correlating prolonged, more intense periods of drought threaten tree health in cities and forests. In consequence, arborists and foresters suffer from increasing workloads and, in the best case, a consistent but often declining workforce. To optimise workflows and increase productivity, we propose a ...
2307.09263
Kecheng Fan
Kecheng Fan, Wen Chen, Jun Li, Xiumei Deng, Xuefeng Han and Ming Ding
Mobility-Aware Joint User Scheduling and Resource Allocation for Low Latency Federated Learning
null
null
null
null
cs.DC cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As an efficient distributed machine learning approach, Federated learning (FL) can obtain a shared model by iterative local model training at the user side and global model aggregating at the central server side, thereby protecting privacy of users. Mobile users in FL systems typically communicate with base stations ...
[ { "created": "Tue, 18 Jul 2023 13:48:05 GMT", "version": "v1" } ]
2023-07-19
[ [ "Fan", "Kecheng", "" ], [ "Chen", "Wen", "" ], [ "Li", "Jun", "" ], [ "Deng", "Xiumei", "" ], [ "Han", "Xuefeng", "" ], [ "Ding", "Ming", "" ] ]
As an efficient distributed machine learning approach, Federated learning (FL) can obtain a shared model by iterative local model training at the user side and global model aggregating at the central server side, thereby protecting privacy of users. Mobile users in FL systems typically communicate with base stations (B...
2205.08790
Mattia Giovanni Campana
Mattia Giovanni Campana, Franca Delmastro
On-device modeling of user's social context and familiar places from smartphone-embedded sensor data
I request the withdrawal of the paper because it has been already submitted (and published) on arXiv with identifier 2306.15437
Elsevier Journal of Network and Computer Applications, Volume 205, September 2022
10.1016/j.jnca.2022.103438
null
cs.LG cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Context modeling and recognition represent complex tasks that allow mobile and ubiquitous computing applications to adapt to the user's situation. Current solutions mainly focus on limited context information generally processed on centralized architectures, potentially exposing users' personal data to privacy leakag...
[ { "created": "Wed, 18 May 2022 08:32:26 GMT", "version": "v1" }, { "created": "Thu, 29 Jun 2023 09:48:28 GMT", "version": "v2" }, { "created": "Tue, 18 Jul 2023 09:00:25 GMT", "version": "v3" } ]
2023-07-19
[ [ "Campana", "Mattia Giovanni", "" ], [ "Delmastro", "Franca", "" ] ]
Context modeling and recognition represent complex tasks that allow mobile and ubiquitous computing applications to adapt to the user's situation. Current solutions mainly focus on limited context information generally processed on centralized architectures, potentially exposing users' personal data to privacy leakage,...
1112.2012
Joshua Grochow
Joshua A. Grochow
Lie algebra conjugacy
null
null
null
null
cs.CC cs.DS cs.SC math.RT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the problem of matrix Lie algebra conjugacy. Lie algebras arise centrally in areas as diverse as differential equations, particle physics, group theory, and the Mulmuley--Sohoni Geometric Complexity Theory program. A matrix Lie algebra is a set L of matrices such that $A, B\in L$ implies $AB - BA \in L$. Two...
[ { "created": "Fri, 9 Dec 2011 03:24:19 GMT", "version": "v1" } ]
2011-12-12
[ [ "Grochow", "Joshua A.", "" ] ]
We study the problem of matrix Lie algebra conjugacy. Lie algebras arise centrally in areas as diverse as differential equations, particle physics, group theory, and the Mulmuley--Sohoni Geometric Complexity Theory program. A matrix Lie algebra is a set L of matrices such that $A, B\in L$ implies $AB - BA \in L$. Two m...
2002.01352
Yi-Shuai Niu
Yi-Shuai Niu, Yu You, Wenxu Xu, Wentao Ding, Junpeng Hu, Songquan Yao
A Difference-of-Convex Programming Approach With Parallel Branch-and-Bound For Sentence Compression Via A Hybrid Extractive Model
Full length paper (a short version of this paper for conference proceedings can be found arXiv:1902.07248)
Optimization Letters (2021)
10.1007/s11590-020-01695-9
null
cs.AI math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sentence compression is an important problem in natural language processing with wide applications in text summarization, search engine and human-AI interaction system etc. In this paper, we design a hybrid extractive sentence compression model combining a probability language model and a parse tree language model fo...
[ { "created": "Sun, 2 Feb 2020 18:33:31 GMT", "version": "v1" }, { "created": "Sun, 14 Feb 2021 14:59:45 GMT", "version": "v2" } ]
2021-02-16
[ [ "Niu", "Yi-Shuai", "" ], [ "You", "Yu", "" ], [ "Xu", "Wenxu", "" ], [ "Ding", "Wentao", "" ], [ "Hu", "Junpeng", "" ], [ "Yao", "Songquan", "" ] ]
Sentence compression is an important problem in natural language processing with wide applications in text summarization, search engine and human-AI interaction system etc. In this paper, we design a hybrid extractive sentence compression model combining a probability language model and a parse tree language model for ...
1805.04594
Arunesh Mathur
Arunesh Mathur, Nathan Malkin, Marian Harbach, Eyal Peer, Serge Egelman
Quantifying Users' Beliefs about Software Updates
7 pages, 3 figures, NDSS Workshop on Usable Security (USEC 2018)
NDSS Workshop on Usable Security, San Diego (USEC 2018)
10.14722/usec.2018.23036
null
cs.CR cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Software updates are critical to the performance, compatibility, and security of software systems. However, users do not always install updates, leaving their machines vulnerable to attackers' exploits. While recent studies have highlighted numerous reasons why users ignore updates, little is known about how prevalen...
[ { "created": "Fri, 11 May 2018 21:20:09 GMT", "version": "v1" } ]
2018-09-06
[ [ "Mathur", "Arunesh", "" ], [ "Malkin", "Nathan", "" ], [ "Harbach", "Marian", "" ], [ "Peer", "Eyal", "" ], [ "Egelman", "Serge", "" ] ]
Software updates are critical to the performance, compatibility, and security of software systems. However, users do not always install updates, leaving their machines vulnerable to attackers' exploits. While recent studies have highlighted numerous reasons why users ignore updates, little is known about how prevalent ...
2010.02847
Haiyang Zhang
Haiyang Zhang, Alison Sneyd and Mark Stevenson
Robustness and Reliability of Gender Bias Assessment in Word Embeddings: The Role of Base Pairs
Accepted at AACL-IJCNLP 2020
null
null
null
cs.CL cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
It has been shown that word embeddings can exhibit gender bias, and various methods have been proposed to quantify this. However, the extent to which the methods are capturing social stereotypes inherited from the data has been debated. Bias is a complex concept and there exist multiple ways to define it. Previous wo...
[ { "created": "Tue, 6 Oct 2020 16:09:05 GMT", "version": "v1" }, { "created": "Tue, 27 Oct 2020 21:24:16 GMT", "version": "v2" } ]
2020-10-29
[ [ "Zhang", "Haiyang", "" ], [ "Sneyd", "Alison", "" ], [ "Stevenson", "Mark", "" ] ]
It has been shown that word embeddings can exhibit gender bias, and various methods have been proposed to quantify this. However, the extent to which the methods are capturing social stereotypes inherited from the data has been debated. Bias is a complex concept and there exist multiple ways to define it. Previous work...
2306.15925
Chengkai Hou
Chengkai Hou and Jieyu Zhang and Haonan Wang and Tianyi Zhou
Subclass-balancing Contrastive Learning for Long-tailed Recognition
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Long-tailed recognition with imbalanced class distribution naturally emerges in practical machine learning applications. Existing methods such as data reweighing, resampling, and supervised contrastive learning enforce the class balance with a price of introducing imbalance between instances of head class and tail cl...
[ { "created": "Wed, 28 Jun 2023 05:08:43 GMT", "version": "v1" }, { "created": "Sat, 9 Sep 2023 10:40:30 GMT", "version": "v2" } ]
2023-09-12
[ [ "Hou", "Chengkai", "" ], [ "Zhang", "Jieyu", "" ], [ "Wang", "Haonan", "" ], [ "Zhou", "Tianyi", "" ] ]
Long-tailed recognition with imbalanced class distribution naturally emerges in practical machine learning applications. Existing methods such as data reweighing, resampling, and supervised contrastive learning enforce the class balance with a price of introducing imbalance between instances of head class and tail clas...
1501.02659
Damianos Gavalas
Thomas Chatzidimitris, Damianos Gavalas, Vlasios Kasapakis
PacMap: Transferring PacMan to the Physical Realm
6 pages, 3 figures, Proceedings of the International Conference on Pervasive Games (PERGAMES'2014), Rome, Italy, 27 October 2014
null
null
null
cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper discusses the implementation of the pervasive game PacMap. Openness and portability have been the main design objectives for PacMap. We elaborate on programming techniques which may be applicable to a broad range of location-based games that involve the movement of virtual characters over map interfaces. I...
[ { "created": "Mon, 12 Jan 2015 14:27:37 GMT", "version": "v1" } ]
2015-01-13
[ [ "Chatzidimitris", "Thomas", "" ], [ "Gavalas", "Damianos", "" ], [ "Kasapakis", "Vlasios", "" ] ]
This paper discusses the implementation of the pervasive game PacMap. Openness and portability have been the main design objectives for PacMap. We elaborate on programming techniques which may be applicable to a broad range of location-based games that involve the movement of virtual characters over map interfaces. In ...
2212.07558
Siamak Layeghy
Mohanad Sarhan, Gayan Kulatilleke, Wai Weng Lo, Siamak Layeghy, Marius Portmann
DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detection
null
null
null
null
cs.CR cs.LG cs.NI
http://creativecommons.org/licenses/by/4.0/
Machine Learning (ML) approaches have been used to enhance the detection capabilities of Network Intrusion Detection Systems (NIDSs). Recent work has achieved near-perfect performance by following binary- and multi-class network anomaly detection tasks. Such systems depend on the availability of both (benign and mali...
[ { "created": "Thu, 15 Dec 2022 00:08:05 GMT", "version": "v1" } ]
2022-12-16
[ [ "Sarhan", "Mohanad", "" ], [ "Kulatilleke", "Gayan", "" ], [ "Lo", "Wai Weng", "" ], [ "Layeghy", "Siamak", "" ], [ "Portmann", "Marius", "" ] ]
Machine Learning (ML) approaches have been used to enhance the detection capabilities of Network Intrusion Detection Systems (NIDSs). Recent work has achieved near-perfect performance by following binary- and multi-class network anomaly detection tasks. Such systems depend on the availability of both (benign and malici...
2007.09367
Eloise Berson
Elo\"ise Berson, Catherine Soladi\'e, Vincent Barrielle, Nicolas Stoiber
A Robust Interactive Facial Animation Editing System
null
Motion, Interaction and Games (MIG '19), October 28--30, 2019, Newcastle upon Tyne, United Kingdom
10.1145/3359566.3360076
null
cs.GR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Over the past few years, the automatic generation of facial animation for virtual characters has garnered interest among the animation research and industry communities. Recent research contributions leverage machine-learning approaches to enable impressive capabilities at generating plausible facial animation from a...
[ { "created": "Sat, 18 Jul 2020 08:31:02 GMT", "version": "v1" } ]
2020-07-21
[ [ "Berson", "Eloïse", "" ], [ "Soladié", "Catherine", "" ], [ "Barrielle", "Vincent", "" ], [ "Stoiber", "Nicolas", "" ] ]
Over the past few years, the automatic generation of facial animation for virtual characters has garnered interest among the animation research and industry communities. Recent research contributions leverage machine-learning approaches to enable impressive capabilities at generating plausible facial animation from aud...
2103.09595
Sabreen Ahmadjee
Sabreen Ahmadjee, Carlos Mera-G\'omez, Rami Bahsoon
Assessing Smart Contracts Security Technical Debts
null
null
null
null
cs.CR cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Smart contracts are self-enforcing agreements that are employed to exchange assets without the approval of trusted third parties. This feature has encouraged various sectors to make use of smart contracts when transacting. Experience shows that many deployed contracts are vulnerable to exploitation due to their poor ...
[ { "created": "Wed, 17 Mar 2021 12:23:21 GMT", "version": "v1" } ]
2021-03-18
[ [ "Ahmadjee", "Sabreen", "" ], [ "Mera-Gómez", "Carlos", "" ], [ "Bahsoon", "Rami", "" ] ]
Smart contracts are self-enforcing agreements that are employed to exchange assets without the approval of trusted third parties. This feature has encouraged various sectors to make use of smart contracts when transacting. Experience shows that many deployed contracts are vulnerable to exploitation due to their poor de...
2402.11596
Tomohiro Koana
Tomohiro Koana and Magnus Wahlstr\"om
Faster algorithms on linear delta-matroids
null
null
null
null
cs.DS cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We show new algorithms and constructions over linear delta-matroids. We observe an alternative representation for linear delta-matroids, as a contraction representation over a skew-symmetric matrix. This is equivalent to the more standard "twist representation" up to $O(n^\omega)$-time transformations, but is much mo...
[ { "created": "Sun, 18 Feb 2024 14:17:30 GMT", "version": "v1" } ]
2024-02-20
[ [ "Koana", "Tomohiro", "" ], [ "Wahlström", "Magnus", "" ] ]
We show new algorithms and constructions over linear delta-matroids. We observe an alternative representation for linear delta-matroids, as a contraction representation over a skew-symmetric matrix. This is equivalent to the more standard "twist representation" up to $O(n^\omega)$-time transformations, but is much more...
1405.3381
Yukun Bao
Mboni Kibelloh, Yukun Bao
Can Online MBA Programs Allow Professional Working Mothers to Balance Work, Family, and Career Progression? A Case Study in China
31 pages
null
10.1007/s40299-013-0101-1
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Career progression is a general concern of professional working mothers in China. The purpose of this paper is to report a qualitative study of Chinese professional working mothers that explored the perceptions of online Master's of Business Administration (MBA) programmes as a tool for career progression for working...
[ { "created": "Wed, 14 May 2014 06:53:46 GMT", "version": "v1" } ]
2014-05-15
[ [ "Kibelloh", "Mboni", "" ], [ "Bao", "Yukun", "" ] ]
Career progression is a general concern of professional working mothers in China. The purpose of this paper is to report a qualitative study of Chinese professional working mothers that explored the perceptions of online Master's of Business Administration (MBA) programmes as a tool for career progression for working m...
2010.10805
Jianlei Chi
Jianlei Chi, Yu Qu, Ting Liu, Qinghua Zheng, Heng Yin
SeqTrans: Automatic Vulnerability Fix via Sequence to Sequence Learning
22 pages, 20 figures, 7 tables
null
null
null
cs.CR cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Software vulnerabilities are now reported at an unprecedented speed due to the recent development of automated vulnerability hunting tools. However, fixing vulnerabilities still mainly depends on programmers' manual efforts. Developers need to deeply understand the vulnerability and try to affect the system's functio...
[ { "created": "Wed, 21 Oct 2020 07:49:08 GMT", "version": "v1" }, { "created": "Tue, 1 Jun 2021 06:17:30 GMT", "version": "v2" }, { "created": "Tue, 22 Mar 2022 12:45:39 GMT", "version": "v3" } ]
2022-03-23
[ [ "Chi", "Jianlei", "" ], [ "Qu", "Yu", "" ], [ "Liu", "Ting", "" ], [ "Zheng", "Qinghua", "" ], [ "Yin", "Heng", "" ] ]
Software vulnerabilities are now reported at an unprecedented speed due to the recent development of automated vulnerability hunting tools. However, fixing vulnerabilities still mainly depends on programmers' manual efforts. Developers need to deeply understand the vulnerability and try to affect the system's functions...
2405.16292
Federico Bergamini
F. Bergamini
A Simulation Study of Source Routing for Load Balancing in Software-Defined Satellite Networks
null
null
null
null
cs.NI
http://creativecommons.org/licenses/by/4.0/
In the next generation network, the satellite network will play a fundamental role, in overcoming the limitation of the terrestrial network. Nonetheless, the satellite-terrestrial network integration presents a number of problems due to the time-variant topology of the first. One of the most important is the routing ...
[ { "created": "Sat, 25 May 2024 16:06:21 GMT", "version": "v1" } ]
2024-05-28
[ [ "Bergamini", "F.", "" ] ]
In the next generation network, the satellite network will play a fundamental role, in overcoming the limitation of the terrestrial network. Nonetheless, the satellite-terrestrial network integration presents a number of problems due to the time-variant topology of the first. One of the most important is the routing pr...
2105.09641
Latif U. Khan
Latif U. Khan, Yan Kyaw Tun, Madyan Alsenwi, Muhammad Imran, Zhu Han, and Choong Seon Hong
A Dispersed Federated Learning Framework for 6G-Enabled Autonomous Driving Cars
null
null
null
null
cs.NI eess.SP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sixth-Generation (6G)-based Internet of Everything applications (e.g. autonomous driving cars) have witnessed a remarkable interest. Autonomous driving cars using federated learning (FL) has the ability to enable different smart services. Although FL implements distributed machine learning model training without the ...
[ { "created": "Thu, 20 May 2021 10:17:50 GMT", "version": "v1" } ]
2021-05-21
[ [ "Khan", "Latif U.", "" ], [ "Tun", "Yan Kyaw", "" ], [ "Alsenwi", "Madyan", "" ], [ "Imran", "Muhammad", "" ], [ "Han", "Zhu", "" ], [ "Hong", "Choong Seon", "" ] ]
Sixth-Generation (6G)-based Internet of Everything applications (e.g. autonomous driving cars) have witnessed a remarkable interest. Autonomous driving cars using federated learning (FL) has the ability to enable different smart services. Although FL implements distributed machine learning model training without the re...
1808.05097
Angel Cuenca-Ortega
Mar\'ia Alpuente and Angel Cuenca-Ortega and Santiago Escobar and Jos\'e Meseguer
Homeomorphic Embedding modulo Combinations of Associativity and Commutativity Axioms
Pre-proceedings paper presented at the 28th International Symposium on Logic-Based Program Synthesis and Transformation (LOPSTR 2018), Frankfurt am Main, Germany, 4-6 September 2018
null
null
LOPSTR/2018/8
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Homeomorphic Embedding relation has been amply used for defining termination criteria of symbolic methods for program analysis, transformation, and verification. However, homeomorphic embedding has never been investigated in the context of order-sorted rewrite theories that support symbolic execution methods modu...
[ { "created": "Wed, 15 Aug 2018 14:30:12 GMT", "version": "v1" }, { "created": "Wed, 28 Nov 2018 15:34:26 GMT", "version": "v2" } ]
2018-11-29
[ [ "Alpuente", "María", "" ], [ "Cuenca-Ortega", "Angel", "" ], [ "Escobar", "Santiago", "" ], [ "Meseguer", "José", "" ] ]
The Homeomorphic Embedding relation has been amply used for defining termination criteria of symbolic methods for program analysis, transformation, and verification. However, homeomorphic embedding has never been investigated in the context of order-sorted rewrite theories that support symbolic execution methods modulo...
2401.15969
Tianlin Liu
Tianlin Liu, Mathieu Blondel, Carlos Riquelme, Joan Puigcerver
Routers in Vision Mixture of Experts: An Empirical Study
null
null
null
null
cs.CV cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
Mixture-of-Experts (MoE) models are a promising way to scale up model capacity without significantly increasing computational cost. A key component of MoEs is the router, which decides which subset of parameters (experts) process which feature embeddings (tokens). In this paper, we present a comprehensive study of ro...
[ { "created": "Mon, 29 Jan 2024 08:58:07 GMT", "version": "v1" }, { "created": "Thu, 18 Apr 2024 18:48:31 GMT", "version": "v2" } ]
2024-04-22
[ [ "Liu", "Tianlin", "" ], [ "Blondel", "Mathieu", "" ], [ "Riquelme", "Carlos", "" ], [ "Puigcerver", "Joan", "" ] ]
Mixture-of-Experts (MoE) models are a promising way to scale up model capacity without significantly increasing computational cost. A key component of MoEs is the router, which decides which subset of parameters (experts) process which feature embeddings (tokens). In this paper, we present a comprehensive study of rout...
1603.09381
Peng Li
Peng Li and Heng Huang
Clinical Information Extraction via Convolutional Neural Network
arXiv admin note: text overlap with arXiv:1408.5882 by other authors
null
null
null
cs.LG cs.CL cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We report an implementation of a clinical information extraction tool that leverages deep neural network to annotate event spans and their attributes from raw clinical notes and pathology reports. Our approach uses context words and their part-of-speech tags and shape information as features. Then we hire temporal (1...
[ { "created": "Wed, 30 Mar 2016 20:57:07 GMT", "version": "v1" } ]
2016-04-01
[ [ "Li", "Peng", "" ], [ "Huang", "Heng", "" ] ]
We report an implementation of a clinical information extraction tool that leverages deep neural network to annotate event spans and their attributes from raw clinical notes and pathology reports. Our approach uses context words and their part-of-speech tags and shape information as features. Then we hire temporal (1D)...
2308.15880
EPTCS
Gonzague Yernaux (Faculty of Computer Science, University of Namur), Wim Vanhoof (Faculty of Computer Science, University of Namur)
A Dataflow Analysis for Comparing and Reordering Predicate Arguments
In Proceedings ICLP 2023, arXiv:2308.14898
EPTCS 385, 2023, pp. 41-54
10.4204/EPTCS.385.5
null
cs.LO
http://creativecommons.org/licenses/by/4.0/
In this work, which is done in the context of a (moded) logic programming language, we devise a data-flow analysis dedicated to computing what we call argument profiles. Such a profile essentially describes, for each argument of a predicate, its functionality, i.e. the operations in which the argument can be involved...
[ { "created": "Wed, 30 Aug 2023 09:03:25 GMT", "version": "v1" } ]
2023-08-31
[ [ "Yernaux", "Gonzague", "", "Faculty of Computer Science, University of Namur" ], [ "Vanhoof", "Wim", "", "Faculty of Computer Science, University of Namur" ] ]
In this work, which is done in the context of a (moded) logic programming language, we devise a data-flow analysis dedicated to computing what we call argument profiles. Such a profile essentially describes, for each argument of a predicate, its functionality, i.e. the operations in which the argument can be involved d...
2201.04339
Thai Duong
Thai Duong and Nikolay Atanasov
Physics-guided Learning-based Adaptive Control on the SE(3) Manifold
Accepted to Physical Reasoning and Inductive Biases for the Real World workshop at NeurIPS 2021. arXiv admin note: text overlap with arXiv:2109.09974
null
null
null
cs.RO cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In real-world robotics applications, accurate models of robot dynamics are critical for safe and stable control in rapidly changing operational conditions. This motivates the use of machine learning techniques to approximate robot dynamics and their disturbances over a training set of state-control trajectories. This...
[ { "created": "Wed, 12 Jan 2022 06:58:09 GMT", "version": "v1" } ]
2022-01-13
[ [ "Duong", "Thai", "" ], [ "Atanasov", "Nikolay", "" ] ]
In real-world robotics applications, accurate models of robot dynamics are critical for safe and stable control in rapidly changing operational conditions. This motivates the use of machine learning techniques to approximate robot dynamics and their disturbances over a training set of state-control trajectories. This p...
2109.03542
Cunjia Liu
Callum Rhodes, Cunjia Liu, Paul Westoby, Wen-Hua Chen
Autonomous search of an airborne release in urban environments using informed tree planning
null
null
10.1007/s10514-022-10063-8
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The use of autonomous vehicles for chemical source localisation is a key enabling tool for disaster response teams to safely and efficiently deal with chemical emergencies. Whilst much work has been performed on source localisation using autonomous systems, most previous works have assumed an open environment or empl...
[ { "created": "Wed, 8 Sep 2021 10:59:08 GMT", "version": "v1" }, { "created": "Tue, 4 Oct 2022 10:36:04 GMT", "version": "v2" } ]
2022-10-05
[ [ "Rhodes", "Callum", "" ], [ "Liu", "Cunjia", "" ], [ "Westoby", "Paul", "" ], [ "Chen", "Wen-Hua", "" ] ]
The use of autonomous vehicles for chemical source localisation is a key enabling tool for disaster response teams to safely and efficiently deal with chemical emergencies. Whilst much work has been performed on source localisation using autonomous systems, most previous works have assumed an open environment or employ...
1604.05273
Ondrej Kuzelka
Ondrej Kuzelka, Jesse Davis, Steven Schockaert
Learning Possibilistic Logic Theories from Default Rules
Long version of a paper accepted at IJCAI 2016
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce a setting for learning possibilistic logic theories from defaults of the form "if alpha then typically beta". We first analyse this problem from the point of view of machine learning theory, determining the VC dimension of possibilistic stratifications as well as the complexity of the associated learning...
[ { "created": "Mon, 18 Apr 2016 18:35:38 GMT", "version": "v1" } ]
2016-04-19
[ [ "Kuzelka", "Ondrej", "" ], [ "Davis", "Jesse", "" ], [ "Schockaert", "Steven", "" ] ]
We introduce a setting for learning possibilistic logic theories from defaults of the form "if alpha then typically beta". We first analyse this problem from the point of view of machine learning theory, determining the VC dimension of possibilistic stratifications as well as the complexity of the associated learning p...
2311.10773
Narges Tabari
Narges Tabari, Sandesh Swamy, Rashmi Gangadharaiah
User Persona Identification and New Service Adaptation Recommendation
6 pages
null
null
null
cs.IR cs.AI
http://creativecommons.org/licenses/by/4.0/
Providing a personalized user experience on information dense webpages helps users in reaching their end-goals sooner. We explore an automated approach to identifying user personas by leveraging high dimensional trajectory information from user sessions on webpages. While neural collaborative filtering (NCF) approach...
[ { "created": "Wed, 15 Nov 2023 22:11:39 GMT", "version": "v1" } ]
2023-11-21
[ [ "Tabari", "Narges", "" ], [ "Swamy", "Sandesh", "" ], [ "Gangadharaiah", "Rashmi", "" ] ]
Providing a personalized user experience on information dense webpages helps users in reaching their end-goals sooner. We explore an automated approach to identifying user personas by leveraging high dimensional trajectory information from user sessions on webpages. While neural collaborative filtering (NCF) approaches...
2210.02089
Abdellah Madane
Abdellah Madane, Mohamed-djallel Dilmi, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jerome Lacaille
Transformer-based conditional generative adversarial network for multivariate time series generation
null
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Conditional generation of time-dependent data is a task that has much interest, whether for data augmentation, scenario simulation, completing missing data, or other purposes. Recent works proposed a Transformer-based Time series generative adversarial network (TTS-GAN) to address the limitations of recurrent neural ...
[ { "created": "Wed, 5 Oct 2022 08:29:33 GMT", "version": "v1" } ]
2022-10-06
[ [ "Madane", "Abdellah", "" ], [ "Dilmi", "Mohamed-djallel", "" ], [ "Forest", "Florent", "" ], [ "Azzag", "Hanane", "" ], [ "Lebbah", "Mustapha", "" ], [ "Lacaille", "Jerome", "" ] ]
Conditional generation of time-dependent data is a task that has much interest, whether for data augmentation, scenario simulation, completing missing data, or other purposes. Recent works proposed a Transformer-based Time series generative adversarial network (TTS-GAN) to address the limitations of recurrent neural ne...
1701.06659
Cheng-Yang Fu
Cheng-Yang Fu, Wei Liu, Ananth Ranga, Ambrish Tyagi, Alexander C. Berg
DSSD : Deconvolutional Single Shot Detector
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The main contribution of this paper is an approach for introducing additional context into state-of-the-art general object detection. To achieve this we first combine a state-of-the-art classifier (Residual-101[14]) with a fast detection framework (SSD[18]). We then augment SSD+Residual-101 with deconvolution layers ...
[ { "created": "Mon, 23 Jan 2017 22:33:35 GMT", "version": "v1" } ]
2017-01-25
[ [ "Fu", "Cheng-Yang", "" ], [ "Liu", "Wei", "" ], [ "Ranga", "Ananth", "" ], [ "Tyagi", "Ambrish", "" ], [ "Berg", "Alexander C.", "" ] ]
The main contribution of this paper is an approach for introducing additional context into state-of-the-art general object detection. To achieve this we first combine a state-of-the-art classifier (Residual-101[14]) with a fast detection framework (SSD[18]). We then augment SSD+Residual-101 with deconvolution layers to...
1612.03402
Andrzej Jaszkiewicz
Andrzej Jaszkiewicz
Improved Quick Hypervolume Algorithm
null
null
null
null
cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we present a significant improvement of Quick Hypervolume algorithm, one of the state-of-the-art algorithms for calculating exact hypervolume of the space dominated by a set of d-dimensional points. This value is often used as a quality indicator in multiobjective evolutionary algorithms and other mult...
[ { "created": "Sun, 11 Dec 2016 12:10:52 GMT", "version": "v1" }, { "created": "Thu, 5 Jan 2017 11:33:46 GMT", "version": "v2" }, { "created": "Mon, 22 May 2017 11:17:53 GMT", "version": "v3" }, { "created": "Fri, 11 Aug 2017 07:50:20 GMT", "version": "v4" } ]
2017-08-14
[ [ "Jaszkiewicz", "Andrzej", "" ] ]
In this paper, we present a significant improvement of Quick Hypervolume algorithm, one of the state-of-the-art algorithms for calculating exact hypervolume of the space dominated by a set of d-dimensional points. This value is often used as a quality indicator in multiobjective evolutionary algorithms and other multio...
2311.16603
Chi Qin Cheng
C. Q. Cheng, K. S. Wong, L. K. Soon
l2Match: Optimization Techniques on Subgraph Matching Algorithm using Label Pair, Neighboring Label Index, and Jump-Redo method
This short version of this article (6 pages) is accepted by ICEIC 2024
null
null
null
cs.DS cs.IR
http://creativecommons.org/licenses/by/4.0/
Graph database is designed to store bidirectional relationships between objects and facilitate the traversal process to extract a subgraph. However, the subgraph matching process is an NP-Complete problem. Existing solutions to this problem usually employ a filter-and-verification framework and a divide-and-conquer m...
[ { "created": "Tue, 28 Nov 2023 08:44:01 GMT", "version": "v1" } ]
2023-11-29
[ [ "Cheng", "C. Q.", "" ], [ "Wong", "K. S.", "" ], [ "Soon", "L. K.", "" ] ]
Graph database is designed to store bidirectional relationships between objects and facilitate the traversal process to extract a subgraph. However, the subgraph matching process is an NP-Complete problem. Existing solutions to this problem usually employ a filter-and-verification framework and a divide-and-conquer met...
2312.17428
Deyi Ji
Deyi Ji, Siqi Gao, Mingyuan Tao, Hongtao Lu, Feng Zhao
ChangeNet: Multi-Temporal Asymmetric Change Detection Dataset
Accepted to ICASSP 2024 Oral/Lecture
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Change Detection (CD) has been attracting extensive interests with the availability of bi-temporal datasets. However, due to the huge cost of multi-temporal images acquisition and labeling, existing change detection datasets are small in quantity, short in temporal, and low in practicability. Therefore, a large-scale...
[ { "created": "Fri, 29 Dec 2023 01:42:20 GMT", "version": "v1" }, { "created": "Fri, 12 Apr 2024 03:06:07 GMT", "version": "v2" } ]
2024-04-15
[ [ "Ji", "Deyi", "" ], [ "Gao", "Siqi", "" ], [ "Tao", "Mingyuan", "" ], [ "Lu", "Hongtao", "" ], [ "Zhao", "Feng", "" ] ]
Change Detection (CD) has been attracting extensive interests with the availability of bi-temporal datasets. However, due to the huge cost of multi-temporal images acquisition and labeling, existing change detection datasets are small in quantity, short in temporal, and low in practicability. Therefore, a large-scale p...
1710.06331
Wiktor Daszczuk
Wiktor B. Daszczuk, Jerzy Mie\'scicki, Waldemar Grabski
Distributed algorithm for empty vehicles management in personal rapid transit (PRT) network
22 pages, 6 figures, 5 tables
Journal of Advanced Transportation, vol. 50 (2016), No.4, pp.608-629
10.1002/atr.1365
null
cs.DC cs.AI cs.CE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, an original heuristic algorithm of empty vehicles management in personal rapid transit network is presented. The algorithm is used for the delivery of empty vehicles for waiting passengers, for balancing the distribution of empty vehicles within the network, and for providing an empty space for vehicle...
[ { "created": "Tue, 17 Oct 2017 15:03:22 GMT", "version": "v1" } ]
2017-10-18
[ [ "Daszczuk", "Wiktor B.", "" ], [ "Mieścicki", "Jerzy", "" ], [ "Grabski", "Waldemar", "" ] ]
In this paper, an original heuristic algorithm of empty vehicles management in personal rapid transit network is presented. The algorithm is used for the delivery of empty vehicles for waiting passengers, for balancing the distribution of empty vehicles within the network, and for providing an empty space for vehicles ...
2110.00425
Shiwen Ni
Shiwen Ni, Jiawen Li and Hung-Yu Kao
HAT4RD: Hierarchical Adversarial Training for Rumor Detection on Social Media
null
null
null
null
cs.CL cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the development of social media, social communication has changed. While this facilitates people's communication and access to information, it also provides an ideal platform for spreading rumors. In normal or critical situations, rumors will affect people's judgment and even endanger social security. However, n...
[ { "created": "Sun, 29 Aug 2021 10:10:34 GMT", "version": "v1" }, { "created": "Mon, 29 Aug 2022 14:45:20 GMT", "version": "v2" } ]
2022-08-30
[ [ "Ni", "Shiwen", "" ], [ "Li", "Jiawen", "" ], [ "Kao", "Hung-Yu", "" ] ]
With the development of social media, social communication has changed. While this facilitates people's communication and access to information, it also provides an ideal platform for spreading rumors. In normal or critical situations, rumors will affect people's judgment and even endanger social security. However, nat...
1608.02441
Matthias Thimm
Sarah A. Gaggl, Matthias Thimm
Proceedings of the Second Summer School on Argumentation: Computational and Linguistic Perspectives (SSA'16)
null
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This volume contains the thesis abstracts presented at the Second Summer School on Argumentation: Computational and Linguistic Perspectives (SSA'2016) held on September 8-12 in Potsdam, Germany.
[ { "created": "Wed, 3 Aug 2016 09:05:32 GMT", "version": "v1" } ]
2016-08-09
[ [ "Gaggl", "Sarah A.", "" ], [ "Thimm", "Matthias", "" ] ]
This volume contains the thesis abstracts presented at the Second Summer School on Argumentation: Computational and Linguistic Perspectives (SSA'2016) held on September 8-12 in Potsdam, Germany.
2202.02989
Dongki Kim
Dongki Kim, Jinheon Baek, Sung Ju Hwang
Graph Self-supervised Learning with Accurate Discrepancy Learning
NeurIPS 2022
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Self-supervised learning of graph neural networks (GNNs) aims to learn an accurate representation of the graphs in an unsupervised manner, to obtain transferable representations of them for diverse downstream tasks. Predictive learning and contrastive learning are the two most prevalent approaches for graph self-supe...
[ { "created": "Mon, 7 Feb 2022 08:04:59 GMT", "version": "v1" }, { "created": "Thu, 17 Feb 2022 09:39:46 GMT", "version": "v2" }, { "created": "Wed, 1 Jun 2022 06:37:40 GMT", "version": "v3" }, { "created": "Thu, 2 Jun 2022 08:05:54 GMT", "version": "v4" }, { "crea...
2022-10-11
[ [ "Kim", "Dongki", "" ], [ "Baek", "Jinheon", "" ], [ "Hwang", "Sung Ju", "" ] ]
Self-supervised learning of graph neural networks (GNNs) aims to learn an accurate representation of the graphs in an unsupervised manner, to obtain transferable representations of them for diverse downstream tasks. Predictive learning and contrastive learning are the two most prevalent approaches for graph self-superv...
2408.06825
Zheng Li
Zheng Li, Xinlei He, Ning Yu, Yang Zhang
Membership Inference Attack Against Masked Image Modeling
null
null
null
null
cs.CR cs.CV
http://creativecommons.org/licenses/by/4.0/
Masked Image Modeling (MIM) has achieved significant success in the realm of self-supervised learning (SSL) for visual recognition. The image encoder pre-trained through MIM, involving the masking and subsequent reconstruction of input images, attains state-of-the-art performance in various downstream vision tasks. H...
[ { "created": "Tue, 13 Aug 2024 11:34:28 GMT", "version": "v1" } ]
2024-08-14
[ [ "Li", "Zheng", "" ], [ "He", "Xinlei", "" ], [ "Yu", "Ning", "" ], [ "Zhang", "Yang", "" ] ]
Masked Image Modeling (MIM) has achieved significant success in the realm of self-supervised learning (SSL) for visual recognition. The image encoder pre-trained through MIM, involving the masking and subsequent reconstruction of input images, attains state-of-the-art performance in various downstream vision tasks. How...
1705.01484
Kenza Guenda
Nouara Zoubir and Kenza Guenda
Some New Permutation Polynomials over Finite Fields
null
null
null
null
cs.IT math.IT
http://creativecommons.org/licenses/by-nc-sa/4.0/
In this paper, we construct a new class of complete permutation monomials and several classes of permutation polynomials. Further, by giving another characterization of o-polynomials, we obtain a class of permutation polynomials of the form $G(x)+ \gamma Tr(H(x))$, where G(X) is neither a permutation nor a linearized...
[ { "created": "Sun, 30 Apr 2017 13:07:58 GMT", "version": "v1" }, { "created": "Sun, 7 May 2017 09:00:59 GMT", "version": "v2" } ]
2017-05-09
[ [ "Zoubir", "Nouara", "" ], [ "Guenda", "Kenza", "" ] ]
In this paper, we construct a new class of complete permutation monomials and several classes of permutation polynomials. Further, by giving another characterization of o-polynomials, we obtain a class of permutation polynomials of the form $G(x)+ \gamma Tr(H(x))$, where G(X) is neither a permutation nor a linearized p...
2205.11808
Adrian Schumacher
Adrian Schumacher, Ruben Merz, Andreas Burg
Increasing Cellular Network Energy Efficiency for Railway Corridors
6 pages; published as shortened 4-page version in: 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 14-23 March 2022
null
10.23919/DATE54114.2022.9774757
null
cs.NI eess.SP
http://creativecommons.org/licenses/by-nc-nd/4.0/
Modern trains act as Faraday cages making it challenging to provide high cellular data capacities to passengers. A solution is the deployment of linear cells along railway tracks, forming a cellular corridor. To provide a sufficiently high data capacity, many cell sites need to be installed at regular distances. Howe...
[ { "created": "Tue, 24 May 2022 06:06:22 GMT", "version": "v1" } ]
2022-05-25
[ [ "Schumacher", "Adrian", "" ], [ "Merz", "Ruben", "" ], [ "Burg", "Andreas", "" ] ]
Modern trains act as Faraday cages making it challenging to provide high cellular data capacities to passengers. A solution is the deployment of linear cells along railway tracks, forming a cellular corridor. To provide a sufficiently high data capacity, many cell sites need to be installed at regular distances. Howeve...
2312.09731
Mia Mohammad Imran
Mia Mohammad Imran, Preetha Chatterjee, Kostadin Damevski
Uncovering the Causes of Emotions in Software Developer Communication Using Zero-shot LLMs
null
null
null
null
cs.SE
http://creativecommons.org/licenses/by/4.0/
Understanding and identifying the causes behind developers' emotions (e.g., Frustration caused by `delays in merging pull requests') can be crucial towards finding solutions to problems and fostering collaboration in open-source communities. Effectively identifying such information in the high volume of communication...
[ { "created": "Fri, 15 Dec 2023 12:16:16 GMT", "version": "v1" } ]
2023-12-18
[ [ "Imran", "Mia Mohammad", "" ], [ "Chatterjee", "Preetha", "" ], [ "Damevski", "Kostadin", "" ] ]
Understanding and identifying the causes behind developers' emotions (e.g., Frustration caused by `delays in merging pull requests') can be crucial towards finding solutions to problems and fostering collaboration in open-source communities. Effectively identifying such information in the high volume of communications ...
2003.09869
Xinxun Xu
Xinxun Xu, Muli Yang, Yanhua Yang and Hao Wang
Progressive Domain-Independent Feature Decomposition Network for Zero-Shot Sketch-Based Image Retrieval
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Zero-shot sketch-based image retrieval (ZS-SBIR) is a specific cross-modal retrieval task for searching natural images given free-hand sketches under the zero-shot scenario. Most existing methods solve this problem by simultaneously projecting visual features and semantic supervision into a low-dimensional common spa...
[ { "created": "Sun, 22 Mar 2020 12:07:23 GMT", "version": "v1" }, { "created": "Fri, 6 May 2022 12:07:01 GMT", "version": "v2" } ]
2022-05-09
[ [ "Xu", "Xinxun", "" ], [ "Yang", "Muli", "" ], [ "Yang", "Yanhua", "" ], [ "Wang", "Hao", "" ] ]
Zero-shot sketch-based image retrieval (ZS-SBIR) is a specific cross-modal retrieval task for searching natural images given free-hand sketches under the zero-shot scenario. Most existing methods solve this problem by simultaneously projecting visual features and semantic supervision into a low-dimensional common space...
1806.08409
Chiori Hori Dr.
Chiori Hori, Huda Alamri, Jue Wang, Gordon Wichern, Takaaki Hori, Anoop Cherian, Tim K. Marks, Vincent Cartillier, Raphael Gontijo Lopes, Abhishek Das, Irfan Essa, Dhruv Batra, Devi Parikh
End-to-End Audio Visual Scene-Aware Dialog using Multimodal Attention-Based Video Features
A prototype system for the Audio Visual Scene-aware Dialog (AVSD) at DSTC7
null
null
null
cs.CL cs.CV cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Dialog systems need to understand dynamic visual scenes in order to have conversations with users about the objects and events around them. Scene-aware dialog systems for real-world applications could be developed by integrating state-of-the-art technologies from multiple research areas, including: end-to-end dialog ...
[ { "created": "Thu, 21 Jun 2018 19:43:13 GMT", "version": "v1" }, { "created": "Sat, 30 Jun 2018 00:35:25 GMT", "version": "v2" } ]
2018-07-03
[ [ "Hori", "Chiori", "" ], [ "Alamri", "Huda", "" ], [ "Wang", "Jue", "" ], [ "Wichern", "Gordon", "" ], [ "Hori", "Takaaki", "" ], [ "Cherian", "Anoop", "" ], [ "Marks", "Tim K.", "" ], [ "Cartillier"...
Dialog systems need to understand dynamic visual scenes in order to have conversations with users about the objects and events around them. Scene-aware dialog systems for real-world applications could be developed by integrating state-of-the-art technologies from multiple research areas, including: end-to-end dialog te...
2107.07330
Jake Deane
Jake Deane, Sinead Kearney, Kwang In Kim, Darren Cosker
DynaDog+T: A Parametric Animal Model for Synthetic Canine Image Generation
CV4Animals Workshop in CVPR 2021. Update to correct minor spelling and grammer mistakes in supplementary material
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Synthetic data is becoming increasingly common for training computer vision models for a variety of tasks. Notably, such data has been applied in tasks related to humans such as 3D pose estimation where data is either difficult to create or obtain in realistic settings. Comparatively, there has been less work into sy...
[ { "created": "Thu, 15 Jul 2021 13:53:10 GMT", "version": "v1" }, { "created": "Tue, 20 Jul 2021 14:07:12 GMT", "version": "v2" } ]
2021-07-21
[ [ "Deane", "Jake", "" ], [ "Kearney", "Sinead", "" ], [ "Kim", "Kwang In", "" ], [ "Cosker", "Darren", "" ] ]
Synthetic data is becoming increasingly common for training computer vision models for a variety of tasks. Notably, such data has been applied in tasks related to humans such as 3D pose estimation where data is either difficult to create or obtain in realistic settings. Comparatively, there has been less work into synt...
1603.01324
Brayden Hollis
Brayden Hollis, Stacy Patterson, Jeff Trinkle
Compressed Sensing for Tactile Skins
8 pages, 4 figures, submitted to ICRA16
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Whole body tactile perception via tactile skins offers large benefits for robots in unstructured environments. To fully realize this benefit, tactile systems must support real-time data acquisition over a massive number of tactile sensor elements. We present a novel approach for scalable tactile data acquisition usin...
[ { "created": "Fri, 4 Mar 2016 01:30:52 GMT", "version": "v1" } ]
2016-03-07
[ [ "Hollis", "Brayden", "" ], [ "Patterson", "Stacy", "" ], [ "Trinkle", "Jeff", "" ] ]
Whole body tactile perception via tactile skins offers large benefits for robots in unstructured environments. To fully realize this benefit, tactile systems must support real-time data acquisition over a massive number of tactile sensor elements. We present a novel approach for scalable tactile data acquisition using ...
1506.08134
David Plonka
David Plonka and Arthur Berger
Temporal and Spatial Classification of Active IPv6 Addresses
null
null
10.1145/2815675.2815678
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
There is striking volume of World-Wide Web activity on IPv6 today. In early 2015, one large Content Distribution Network handles 50 billion IPv6 requests per day from hundreds of millions of IPv6 client addresses; billions of unique client addresses are observed per month. Address counts, however, obscure the number ...
[ { "created": "Fri, 26 Jun 2015 16:07:55 GMT", "version": "v1" }, { "created": "Tue, 14 Jul 2015 08:58:27 GMT", "version": "v2" }, { "created": "Fri, 17 Jul 2015 21:33:54 GMT", "version": "v3" } ]
2015-10-02
[ [ "Plonka", "David", "" ], [ "Berger", "Arthur", "" ] ]
There is striking volume of World-Wide Web activity on IPv6 today. In early 2015, one large Content Distribution Network handles 50 billion IPv6 requests per day from hundreds of millions of IPv6 client addresses; billions of unique client addresses are observed per month. Address counts, however, obscure the number of...
1802.01880
Dahun Kim
Dahun Kim, Donghyeon Cho, Donggeun Yoo, In So Kweon
Learning Image Representations by Completing Damaged Jigsaw Puzzles
accepted at WACV 2018
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we explore methods of complicating self-supervised tasks for representation learning. That is, we do severe damage to data and encourage a network to recover them. First, we complicate each of three powerful self-supervised task candidates: jigsaw puzzle, inpainting, and colorization. In addition, we i...
[ { "created": "Tue, 6 Feb 2018 10:42:28 GMT", "version": "v1" } ]
2018-02-07
[ [ "Kim", "Dahun", "" ], [ "Cho", "Donghyeon", "" ], [ "Yoo", "Donggeun", "" ], [ "Kweon", "In So", "" ] ]
In this paper, we explore methods of complicating self-supervised tasks for representation learning. That is, we do severe damage to data and encourage a network to recover them. First, we complicate each of three powerful self-supervised task candidates: jigsaw puzzle, inpainting, and colorization. In addition, we int...
2303.04234
Anthony Peruma
Wajdi Aljedaani, Mohamed Wiem Mkaouer, Anthony Peruma, Stephanie Ludi
Do the Test Smells Assertion Roulette and Eager Test Impact Students' Troubleshooting and Debugging Capabilities?
This study has been accepted at: The 45th IEEE/ACM International Conference on Software Engineering (ICSE 2023); Track: Software Engineering Education and Training
null
null
null
cs.SE
http://creativecommons.org/licenses/by/4.0/
To ensure the quality of a software system, developers perform an activity known as unit testing, where they write code (known as test cases) that verifies the individual software units that make up the system. Like production code, test cases are subject to bad programming practices, known as test smells, that hurt ...
[ { "created": "Tue, 7 Mar 2023 20:51:37 GMT", "version": "v1" } ]
2023-03-09
[ [ "Aljedaani", "Wajdi", "" ], [ "Mkaouer", "Mohamed Wiem", "" ], [ "Peruma", "Anthony", "" ], [ "Ludi", "Stephanie", "" ] ]
To ensure the quality of a software system, developers perform an activity known as unit testing, where they write code (known as test cases) that verifies the individual software units that make up the system. Like production code, test cases are subject to bad programming practices, known as test smells, that hurt ma...
1606.07558
Andrew Cotter
Gabriel Goh, Andrew Cotter, Maya Gupta, Michael Friedlander
Satisfying Real-world Goals with Dataset Constraints
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The goal of minimizing misclassification error on a training set is often just one of several real-world goals that might be defined on different datasets. For example, one may require a classifier to also make positive predictions at some specified rate for some subpopulation (fairness), or to achieve a specified em...
[ { "created": "Fri, 24 Jun 2016 03:42:41 GMT", "version": "v1" }, { "created": "Wed, 3 May 2017 23:02:56 GMT", "version": "v2" } ]
2017-05-05
[ [ "Goh", "Gabriel", "" ], [ "Cotter", "Andrew", "" ], [ "Gupta", "Maya", "" ], [ "Friedlander", "Michael", "" ] ]
The goal of minimizing misclassification error on a training set is often just one of several real-world goals that might be defined on different datasets. For example, one may require a classifier to also make positive predictions at some specified rate for some subpopulation (fairness), or to achieve a specified empi...
1002.3998
William Jackson
Shakeel Ahmad, Adli Mustafa, Zahid Awan, Bashir Ahmad, Najeebullah, Arjamand Bano
E-Courseware Design and Implementation Issues and Strategies
null
Journal of Computing, Volume 2, Issue 2, February 2010, https://sites.google.com/site/journalofcomputing/
null
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Over the last few years electronic learning has been in use mostly by corporate institutes in the form of computer aided instructions and computer based training. The scope of such use has not only been limited to introductory courses for beginners and working people but also to impart knowledge in higher education s...
[ { "created": "Sun, 21 Feb 2010 19:28:29 GMT", "version": "v1" } ]
2010-03-25
[ [ "Ahmad", "Shakeel", "" ], [ "Mustafa", "Adli", "" ], [ "Awan", "Zahid", "" ], [ "Ahmad", "Bashir", "" ], [ "Najeebullah", "", "" ], [ "Bano", "Arjamand", "" ] ]
Over the last few years electronic learning has been in use mostly by corporate institutes in the form of computer aided instructions and computer based training. The scope of such use has not only been limited to introductory courses for beginners and working people but also to impart knowledge in higher education sec...
1709.07368
Charalambos Poullis
Yuanlie He, Sudhir Mudur, and Charalambos Poullis
Multi-label Pixelwise Classification for Reconstruction of Large-scale Urban Areas
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Object classification is one of the many holy grails in computer vision and as such has resulted in a very large number of algorithms being proposed already. Specifically in recent years there has been considerable progress in this area primarily due to the increased efficiency and accessibility of deep learning tech...
[ { "created": "Thu, 21 Sep 2017 15:13:09 GMT", "version": "v1" }, { "created": "Tue, 23 Jan 2018 21:32:13 GMT", "version": "v2" } ]
2018-01-25
[ [ "He", "Yuanlie", "" ], [ "Mudur", "Sudhir", "" ], [ "Poullis", "Charalambos", "" ] ]
Object classification is one of the many holy grails in computer vision and as such has resulted in a very large number of algorithms being proposed already. Specifically in recent years there has been considerable progress in this area primarily due to the increased efficiency and accessibility of deep learning techni...
2010.07284
Vincenzo Ciancia
Laura Bussi, Vincenzo Ciancia, Fabio Gadducci
A spatial model checker in GPU (extended version)
null
null
null
null
cs.LO cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The tool voxlogica merges the state-of-the-art library of computational imaging algorithms ITK with the combination of declarative specification and optimised execution provided by spatial logic model checking. The analysis of an existing benchmark for segmentation of brain tumours via a simple logical specification ...
[ { "created": "Wed, 14 Oct 2020 17:58:28 GMT", "version": "v1" } ]
2020-10-16
[ [ "Bussi", "Laura", "" ], [ "Ciancia", "Vincenzo", "" ], [ "Gadducci", "Fabio", "" ] ]
The tool voxlogica merges the state-of-the-art library of computational imaging algorithms ITK with the combination of declarative specification and optimised execution provided by spatial logic model checking. The analysis of an existing benchmark for segmentation of brain tumours via a simple logical specification re...
2110.11616
Hoda Roodaki
Hoda Roodaki, Mahdi Nazm Bojnordi
Compressed Geometric Arrays for Point Cloud Processing
null
null
null
null
cs.MM
http://creativecommons.org/licenses/by-nc-nd/4.0/
The ever-increasing demand for 3D modeling in the emerging immersive applications has made point clouds an essential class of data for 3D image and video processing. Tree based structures are commonly used for representing point clouds where pointers are used to realize the connection between nodes. Tree-based struct...
[ { "created": "Fri, 22 Oct 2021 06:43:55 GMT", "version": "v1" } ]
2021-10-25
[ [ "Roodaki", "Hoda", "" ], [ "Bojnordi", "Mahdi Nazm", "" ] ]
The ever-increasing demand for 3D modeling in the emerging immersive applications has made point clouds an essential class of data for 3D image and video processing. Tree based structures are commonly used for representing point clouds where pointers are used to realize the connection between nodes. Tree-based structur...
1312.6949
Wang Taotao
Taotao Wang and Soung Chang Liew
Joint Phase Tracking and Channel Decoding for OFDM Physical-Layer Network Coding
7 pages, 8 figures
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper investigates the problem of joint phase tracking and channel decoding in OFDM based Physical-layer Network Coding (PNC) systems. OFDM signaling can obviate the need for tight time synchronization among multiple simultaneous transmissions in the uplink of PNC systems. However, OFDM PNC systems are susceptib...
[ { "created": "Wed, 25 Dec 2013 10:48:12 GMT", "version": "v1" } ]
2013-12-30
[ [ "Wang", "Taotao", "" ], [ "Liew", "Soung Chang", "" ] ]
This paper investigates the problem of joint phase tracking and channel decoding in OFDM based Physical-layer Network Coding (PNC) systems. OFDM signaling can obviate the need for tight time synchronization among multiple simultaneous transmissions in the uplink of PNC systems. However, OFDM PNC systems are susceptible...
1404.3033
Gennaro Cordasco PhD
Ferdinando Cicalese, Gennaro Cordasco, Luisa Gargano, Martin Milanic, Joseph Peters, Ugo Vaccaro
How to go Viral: Cheaply and Quickly
An extended abstract of this paper will appear in Proceedings of Seventh International conference on Fun with Algorithms (FUN 2014), Lectures Notes in Computer Science, Springer
7th International Conference, FUN 2014, Lipari Island, Sicily, Italy, July 1-3, 2014. Proceedings ISBN 978-3-319-07889-2
10.1007/978-3-319-07890-8_9
null
cs.SI cs.DS math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Given a social network represented by a graph $G$, we consider the problem of finding a bounded cardinality set of nodes $S$ with the property that the influence spreading from $S$ in $G$ is as large as possible. The dynamics that govern the spread of influence is the following: initially only elements in $S$ are inf...
[ { "created": "Fri, 11 Apr 2014 08:43:46 GMT", "version": "v1" }, { "created": "Tue, 15 Apr 2014 08:53:50 GMT", "version": "v2" }, { "created": "Thu, 17 Apr 2014 18:28:17 GMT", "version": "v3" }, { "created": "Wed, 11 Feb 2015 10:16:11 GMT", "version": "v4" }, { "c...
2015-02-17
[ [ "Cicalese", "Ferdinando", "" ], [ "Cordasco", "Gennaro", "" ], [ "Gargano", "Luisa", "" ], [ "Milanic", "Martin", "" ], [ "Peters", "Joseph", "" ], [ "Vaccaro", "Ugo", "" ] ]
Given a social network represented by a graph $G$, we consider the problem of finding a bounded cardinality set of nodes $S$ with the property that the influence spreading from $S$ in $G$ is as large as possible. The dynamics that govern the spread of influence is the following: initially only elements in $S$ are influ...
1809.02562
Seong-Ho Kwon
Seong-Ho Kwon and Hyo-Sung Ahn
Generalized weak rigidity: Theory, and local and global convergence of formations
null
null
null
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper discusses generalized weak rigidity theory, and aims to apply the theory to formation control problems with a gradient flow law. The generalized weak rigidity theory is utilized in order that desired formations are characterized by a general set of pure inter-agent distances and angles. As the first result...
[ { "created": "Fri, 7 Sep 2018 16:11:21 GMT", "version": "v1" }, { "created": "Tue, 1 Oct 2019 13:01:37 GMT", "version": "v2" }, { "created": "Tue, 5 Nov 2019 03:48:39 GMT", "version": "v3" }, { "created": "Sun, 26 Apr 2020 08:16:50 GMT", "version": "v4" } ]
2020-04-28
[ [ "Kwon", "Seong-Ho", "" ], [ "Ahn", "Hyo-Sung", "" ] ]
This paper discusses generalized weak rigidity theory, and aims to apply the theory to formation control problems with a gradient flow law. The generalized weak rigidity theory is utilized in order that desired formations are characterized by a general set of pure inter-agent distances and angles. As the first result o...
2002.07839
Blake Woodworth
Blake Woodworth, Kumar Kshitij Patel, Sebastian U. Stich, Zhen Dai, Brian Bullins, H. Brendan McMahan, Ohad Shamir, Nathan Srebro
Is Local SGD Better than Minibatch SGD?
29 pages
null
null
null
cs.LG math.OC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study local SGD (also known as parallel SGD and federated averaging), a natural and frequently used stochastic distributed optimization method. Its theoretical foundations are currently lacking and we highlight how all existing error guarantees in the convex setting are dominated by a simple baseline, minibatch SG...
[ { "created": "Tue, 18 Feb 2020 19:22:43 GMT", "version": "v1" }, { "created": "Mon, 20 Jul 2020 15:47:48 GMT", "version": "v2" } ]
2020-07-21
[ [ "Woodworth", "Blake", "" ], [ "Patel", "Kumar Kshitij", "" ], [ "Stich", "Sebastian U.", "" ], [ "Dai", "Zhen", "" ], [ "Bullins", "Brian", "" ], [ "McMahan", "H. Brendan", "" ], [ "Shamir", "Ohad", "" ],...
We study local SGD (also known as parallel SGD and federated averaging), a natural and frequently used stochastic distributed optimization method. Its theoretical foundations are currently lacking and we highlight how all existing error guarantees in the convex setting are dominated by a simple baseline, minibatch SGD....
2403.09197
Hongyuan Su
Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li
MetroGNN: Metro Network Expansion with Reinforcement Learning
WWW24 short
null
10.1145/3589335.3651536
null
cs.CY
http://creativecommons.org/licenses/by/4.0/
Selecting urban regions for metro network expansion to meet maximal transportation demands is crucial for urban development, while computationally challenging to solve. The expansion process relies not only on complicated features like urban demographics and origin-destination (OD) flow but is also constrained by the...
[ { "created": "Thu, 14 Mar 2024 09:09:15 GMT", "version": "v1" } ]
2024-03-15
[ [ "Su", "Hongyuan", "" ], [ "Zheng", "Yu", "" ], [ "Ding", "Jingtao", "" ], [ "Jin", "Depeng", "" ], [ "Li", "Yong", "" ] ]
Selecting urban regions for metro network expansion to meet maximal transportation demands is crucial for urban development, while computationally challenging to solve. The expansion process relies not only on complicated features like urban demographics and origin-destination (OD) flow but is also constrained by the e...
1111.5892
Gene Sher
Gene I. Sher
Evolving Chart Pattern Sensitive Neural Network Based Forex Trading Agents
null
null
null
null
cs.NE cs.CE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Though machine learning has been applied to the foreign exchange market for algorithmic trading for quiet some time now, and neural networks(NN) have been shown to yield positive results, in most modern approaches the NN systems are optimized through traditional methods like the backpropagation algorithm for example,...
[ { "created": "Fri, 25 Nov 2011 05:11:14 GMT", "version": "v1" }, { "created": "Mon, 30 Jan 2012 19:48:31 GMT", "version": "v2" } ]
2012-01-31
[ [ "Sher", "Gene I.", "" ] ]
Though machine learning has been applied to the foreign exchange market for algorithmic trading for quiet some time now, and neural networks(NN) have been shown to yield positive results, in most modern approaches the NN systems are optimized through traditional methods like the backpropagation algorithm for example, a...
2402.12959
Zeyang Sha
Zeyang Sha and Yang Zhang
Prompt Stealing Attacks Against Large Language Models
null
null
null
null
cs.CR cs.CL
http://creativecommons.org/licenses/by/4.0/
The increasing reliance on large language models (LLMs) such as ChatGPT in various fields emphasizes the importance of ``prompt engineering,'' a technology to improve the quality of model outputs. With companies investing significantly in expert prompt engineers and educational resources rising to meet market demand,...
[ { "created": "Tue, 20 Feb 2024 12:25:26 GMT", "version": "v1" } ]
2024-02-21
[ [ "Sha", "Zeyang", "" ], [ "Zhang", "Yang", "" ] ]
The increasing reliance on large language models (LLMs) such as ChatGPT in various fields emphasizes the importance of ``prompt engineering,'' a technology to improve the quality of model outputs. With companies investing significantly in expert prompt engineers and educational resources rising to meet market demand, d...
1207.4158
Max Welling
Max Welling
On the Choice of Regions for Generalized Belief Propagation
Appears in Proceedings of the Twentieth Conference on Uncertainty in Artificial Intelligence (UAI2004)
null
null
UAI-P-2004-PG-585-592
cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Generalized belief propagation (GBP) has proven to be a promising technique for approximate inference tasks in AI and machine learning. However, the choice of a good set of clusters to be used in GBP has remained more of an art then a science until this day. This paper proposes a sequential approach to adding new clu...
[ { "created": "Wed, 11 Jul 2012 15:01:36 GMT", "version": "v1" } ]
2012-07-19
[ [ "Welling", "Max", "" ] ]
Generalized belief propagation (GBP) has proven to be a promising technique for approximate inference tasks in AI and machine learning. However, the choice of a good set of clusters to be used in GBP has remained more of an art then a science until this day. This paper proposes a sequential approach to adding new clust...
2009.11514
Yanyi Liu
Yanyi Liu, Rafael Pass
On One-way Functions and Kolmogorov Complexity
null
null
null
null
cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We prove that the equivalence of two fundamental problems in the theory of computing. For every polynomial $t(n)\geq (1+\varepsilon)n, \varepsilon>0$, the following are equivalent: - One-way functions exists (which in turn is equivalent to the existence of secure private-key encryption schemes, digital signatures, ...
[ { "created": "Thu, 24 Sep 2020 06:50:27 GMT", "version": "v1" } ]
2020-09-25
[ [ "Liu", "Yanyi", "" ], [ "Pass", "Rafael", "" ] ]
We prove that the equivalence of two fundamental problems in the theory of computing. For every polynomial $t(n)\geq (1+\varepsilon)n, \varepsilon>0$, the following are equivalent: - One-way functions exists (which in turn is equivalent to the existence of secure private-key encryption schemes, digital signatures, pseu...
2403.11960
Baoyu Jing
Baoyu Jing, Dawei Zhou, Kan Ren, Carl Yang
CASPER: Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation
Preprint. Work in progress
null
null
null
cs.LG stat.ML
http://creativecommons.org/licenses/by/4.0/
Spatiotemporal time series is the foundation of understanding human activities and their impacts, which is usually collected via monitoring sensors placed at different locations. The collected data usually contains missing values due to various failures, which have significant impact on data analysis. To impute the m...
[ { "created": "Mon, 18 Mar 2024 16:57:16 GMT", "version": "v1" } ]
2024-03-19
[ [ "Jing", "Baoyu", "" ], [ "Zhou", "Dawei", "" ], [ "Ren", "Kan", "" ], [ "Yang", "Carl", "" ] ]
Spatiotemporal time series is the foundation of understanding human activities and their impacts, which is usually collected via monitoring sensors placed at different locations. The collected data usually contains missing values due to various failures, which have significant impact on data analysis. To impute the mis...
1910.10942
Simon Leglaive
Simon Leglaive (IETR), Xavier Alameda-Pineda (PERCEPTION), Laurent Girin (GIPSA-CRISSP, PERCEPTION), Radu Horaud (PERCEPTION)
A Recurrent Variational Autoencoder for Speech Enhancement
null
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2020, Barcelona, Spain
null
null
cs.LG cs.AI cs.NE cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a generative approach to speech enhancement based on a recurrent variational autoencoder (RVAE). The deep generative speech model is trained using clean speech signals only, and it is combined with a nonnegative matrix factorization noise model for speech enhancement. We propose a variational expe...
[ { "created": "Thu, 24 Oct 2019 06:54:36 GMT", "version": "v1" }, { "created": "Mon, 10 Feb 2020 09:36:23 GMT", "version": "v2" } ]
2020-02-11
[ [ "Leglaive", "Simon", "", "IETR" ], [ "Alameda-Pineda", "Xavier", "", "PERCEPTION" ], [ "Girin", "Laurent", "", "GIPSA-CRISSP, PERCEPTION" ], [ "Horaud", "Radu", "", "PERCEPTION" ] ]
This paper presents a generative approach to speech enhancement based on a recurrent variational autoencoder (RVAE). The deep generative speech model is trained using clean speech signals only, and it is combined with a nonnegative matrix factorization noise model for speech enhancement. We propose a variational expect...
1210.1568
Dimiter Dobrev
Dimiter Dobrev
A Definition of Artificial Intelligence
null
Dobrev D. A Definition of Artificial Intelligence. In: Mathematica Balkanica, New Series, Vol. 19, 2005, Fasc. 1-2, pp.67-74
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we offer a formal definition of Artificial Intelligence and this directly gives us an algorithm for construction of this object. Really, this algorithm is useless due to the combinatory explosion. The main innovation in our definition is that it does not include the knowledge as a part of the intellig...
[ { "created": "Wed, 3 Oct 2012 20:46:10 GMT", "version": "v1" } ]
2012-10-08
[ [ "Dobrev", "Dimiter", "" ] ]
In this paper we offer a formal definition of Artificial Intelligence and this directly gives us an algorithm for construction of this object. Really, this algorithm is useless due to the combinatory explosion. The main innovation in our definition is that it does not include the knowledge as a part of the intelligence...
2403.19336
Mingbo Zhao
Jiacui Huang, Hongtao Zhang, Mingbo Zhao, Zhou Wu
IVLMap: Instance-Aware Visual Language Grounding for Consumer Robot Navigation
null
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by/4.0/
Vision-and-Language Navigation (VLN) is a challenging task that requires a robot to navigate in photo-realistic environments with human natural language promptings. Recent studies aim to handle this task by constructing the semantic spatial map representation of the environment, and then leveraging the strong ability...
[ { "created": "Thu, 28 Mar 2024 11:52:42 GMT", "version": "v1" } ]
2024-03-29
[ [ "Huang", "Jiacui", "" ], [ "Zhang", "Hongtao", "" ], [ "Zhao", "Mingbo", "" ], [ "Wu", "Zhou", "" ] ]
Vision-and-Language Navigation (VLN) is a challenging task that requires a robot to navigate in photo-realistic environments with human natural language promptings. Recent studies aim to handle this task by constructing the semantic spatial map representation of the environment, and then leveraging the strong ability o...
2405.16919
Ruipu Luo
Zejun Li, Ruipu Luo, Jiwen Zhang, Minghui Qiu, Zhongyu Wei
VoCoT: Unleashing Visually Grounded Multi-Step Reasoning in Large Multi-Modal Models
null
null
null
null
cs.CV cs.AI cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
While large multi-modal models (LMMs) have exhibited impressive capabilities across diverse tasks, their effectiveness in handling complex tasks has been limited by the prevailing single-step reasoning paradigm. To this end, this paper proposes VoCoT, a multi-step Visually grounded object-centric Chain-of-Thought rea...
[ { "created": "Mon, 27 May 2024 08:12:00 GMT", "version": "v1" }, { "created": "Tue, 28 May 2024 06:12:45 GMT", "version": "v2" } ]
2024-05-29
[ [ "Li", "Zejun", "" ], [ "Luo", "Ruipu", "" ], [ "Zhang", "Jiwen", "" ], [ "Qiu", "Minghui", "" ], [ "Wei", "Zhongyu", "" ] ]
While large multi-modal models (LMMs) have exhibited impressive capabilities across diverse tasks, their effectiveness in handling complex tasks has been limited by the prevailing single-step reasoning paradigm. To this end, this paper proposes VoCoT, a multi-step Visually grounded object-centric Chain-of-Thought reaso...
2006.16322
Subham Sekhar Sahoo
Subham Sekhar Sahoo, Subhashini Venugopalan, Li Li, Rishabh Singh, Patrick Riley
Scaling Symbolic Methods using Gradients for Neural Model Explanation
null
null
null
null
cs.LG cs.AI cs.CV stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Symbolic techniques based on Satisfiability Modulo Theory (SMT) solvers have been proposed for analyzing and verifying neural network properties, but their usage has been fairly limited owing to their poor scalability with larger networks. In this work, we propose a technique for combining gradient-based methods with...
[ { "created": "Mon, 29 Jun 2020 19:12:22 GMT", "version": "v1" }, { "created": "Sat, 3 Oct 2020 00:45:28 GMT", "version": "v2" }, { "created": "Mon, 15 Mar 2021 19:19:35 GMT", "version": "v3" }, { "created": "Wed, 5 May 2021 14:13:39 GMT", "version": "v4" } ]
2021-05-06
[ [ "Sahoo", "Subham Sekhar", "" ], [ "Venugopalan", "Subhashini", "" ], [ "Li", "Li", "" ], [ "Singh", "Rishabh", "" ], [ "Riley", "Patrick", "" ] ]
Symbolic techniques based on Satisfiability Modulo Theory (SMT) solvers have been proposed for analyzing and verifying neural network properties, but their usage has been fairly limited owing to their poor scalability with larger networks. In this work, we propose a technique for combining gradient-based methods with s...
2111.14302
Mengnan Shi
Mengnan Shi, Chang Liu, Jianbin Jiao, Qixiang Ye
Self-supervised Feature-Gate Coupling for Dynamic Network Pruning
Pattern Recognition, Preprint
Pattern Recognition, Volume 154, 2024, 110594.
10.1016/j.patcog.2024.110594
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Gating modules have been widely explored in dynamic network pruning to reduce the run-time computational cost of deep neural networks while preserving the representation of features. Despite the substantial progress, existing methods remain ignoring the consistency between feature and gate distributions, which may le...
[ { "created": "Mon, 29 Nov 2021 02:16:54 GMT", "version": "v1" }, { "created": "Fri, 31 May 2024 01:32:49 GMT", "version": "v2" } ]
2024-06-03
[ [ "Shi", "Mengnan", "" ], [ "Liu", "Chang", "" ], [ "Jiao", "Jianbin", "" ], [ "Ye", "Qixiang", "" ] ]
Gating modules have been widely explored in dynamic network pruning to reduce the run-time computational cost of deep neural networks while preserving the representation of features. Despite the substantial progress, existing methods remain ignoring the consistency between feature and gate distributions, which may lead...
1301.7361
Craig Boutilier
Craig Boutilier, Ronen I. Brafman, Christopher W. Geib
Structured Reachability Analysis for Markov Decision Processes
Appears in Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence (UAI1998)
null
null
UAI-P-1998-PG-24-32
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent research in decision theoretic planning has focussed on making the solution of Markov decision processes (MDPs) more feasible. We develop a family of algorithms for structured reachability analysis of MDPs that are suitable when an initial state (or set of states) is known. Using compact, structured representa...
[ { "created": "Wed, 30 Jan 2013 15:02:33 GMT", "version": "v1" }, { "created": "Tue, 23 Apr 2013 15:58:57 GMT", "version": "v2" } ]
2013-04-24
[ [ "Boutilier", "Craig", "" ], [ "Brafman", "Ronen I.", "" ], [ "Geib", "Christopher W.", "" ] ]
Recent research in decision theoretic planning has focussed on making the solution of Markov decision processes (MDPs) more feasible. We develop a family of algorithms for structured reachability analysis of MDPs that are suitable when an initial state (or set of states) is known. Using compact, structured representati...
2211.08639
Huaxiong Li
Haoxing Chen and Zhangxuan Gu and Yaohui Li and Jun Lan and Changhua Meng and Weiqiang Wang and Huaxiong Li
Hierarchical Dynamic Image Harmonization
null
null
null
null
cs.CV cs.AI cs.MM
http://creativecommons.org/licenses/by/4.0/
Image harmonization is a critical task in computer vision, which aims to adjust the foreground to make it compatible with the background. Recent works mainly focus on using global transformations (i.e., normalization and color curve rendering) to achieve visual consistency. However, these models ignore local visual c...
[ { "created": "Wed, 16 Nov 2022 03:15:19 GMT", "version": "v1" }, { "created": "Thu, 4 May 2023 08:36:09 GMT", "version": "v2" }, { "created": "Sat, 6 May 2023 10:04:06 GMT", "version": "v3" } ]
2023-05-09
[ [ "Chen", "Haoxing", "" ], [ "Gu", "Zhangxuan", "" ], [ "Li", "Yaohui", "" ], [ "Lan", "Jun", "" ], [ "Meng", "Changhua", "" ], [ "Wang", "Weiqiang", "" ], [ "Li", "Huaxiong", "" ] ]
Image harmonization is a critical task in computer vision, which aims to adjust the foreground to make it compatible with the background. Recent works mainly focus on using global transformations (i.e., normalization and color curve rendering) to achieve visual consistency. However, these models ignore local visual con...
1812.04514
Sushant Kondguli
Sushant Kondguli and Michael Huang
R3-DLA (Reduce, Reuse, Recycle): A More Efficient Approach to Decoupled Look-Ahead Architectures
16 pages, 16 Figures, Scheduled to appear in 25th IEEE International Symposium on High-Performance Computer Architecture 2019
null
null
null
cs.AR cs.PF
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Modern societies have developed insatiable demands for more computation capabilities. Exploiting implicit parallelism to provide automatic performance improvement remains a central goal in engineering future general-purpose computing systems. One approach is to use a separate thread context to perform continuous look...
[ { "created": "Tue, 11 Dec 2018 16:13:35 GMT", "version": "v1" }, { "created": "Wed, 12 Dec 2018 17:19:36 GMT", "version": "v2" }, { "created": "Thu, 13 Dec 2018 16:05:14 GMT", "version": "v3" } ]
2018-12-14
[ [ "Kondguli", "Sushant", "" ], [ "Huang", "Michael", "" ] ]
Modern societies have developed insatiable demands for more computation capabilities. Exploiting implicit parallelism to provide automatic performance improvement remains a central goal in engineering future general-purpose computing systems. One approach is to use a separate thread context to perform continuous look-a...
2105.03235
Arianna Salazar Miranda
Arianna Salazar Miranda, Guangyu Du, Claire Gorman, Fabio Duarte, Washington Fajardo, Carlo Ratti
Favelas 4D: Scalable methods for morphology analysis of informal settlements using terrestrial laser scanning data
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
One billion people live in informal settlements worldwide. The complex and multilayered spaces that characterize this unplanned form of urbanization pose a challenge to traditional approaches to mapping and morphological analysis. This study proposes a methodology to study the morphological properties of informal set...
[ { "created": "Fri, 23 Apr 2021 15:32:59 GMT", "version": "v1" } ]
2021-05-10
[ [ "Miranda", "Arianna Salazar", "" ], [ "Du", "Guangyu", "" ], [ "Gorman", "Claire", "" ], [ "Duarte", "Fabio", "" ], [ "Fajardo", "Washington", "" ], [ "Ratti", "Carlo", "" ] ]
One billion people live in informal settlements worldwide. The complex and multilayered spaces that characterize this unplanned form of urbanization pose a challenge to traditional approaches to mapping and morphological analysis. This study proposes a methodology to study the morphological properties of informal settl...
2110.02887
Sawsan Alqahtani
Sawsan Alqahtani, Garima Lalwani, Yi Zhang, Salvatore Romeo, Saab Mansour
Using Optimal Transport as Alignment Objective for fine-tuning Multilingual Contextualized Embeddings
null
EMNLP 2021
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent studies have proposed different methods to improve multilingual word representations in contextualized settings including techniques that align between source and target embedding spaces. For contextualized embeddings, alignment becomes more complex as we additionally take context into consideration. In this w...
[ { "created": "Wed, 6 Oct 2021 16:13:45 GMT", "version": "v1" } ]
2021-10-07
[ [ "Alqahtani", "Sawsan", "" ], [ "Lalwani", "Garima", "" ], [ "Zhang", "Yi", "" ], [ "Romeo", "Salvatore", "" ], [ "Mansour", "Saab", "" ] ]
Recent studies have proposed different methods to improve multilingual word representations in contextualized settings including techniques that align between source and target embedding spaces. For contextualized embeddings, alignment becomes more complex as we additionally take context into consideration. In this wor...
1906.09602
Ruo-Chun Tzeng
Ruo-Chun Tzeng, Shan-Hung Wu
Ego-CNN: Distributed, Egocentric Representations of Graphs for Detecting Critical Structures
Proceedings of the 36th International Conference on Machine Learning
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the problem of detecting critical structures using a graph embedding model. Existing graph embedding models lack the ability to precisely detect critical structures that are specific to a task at the global scale. In this paper, we propose a novel graph embedding model, called the Ego-CNNs, that employs the ...
[ { "created": "Sun, 23 Jun 2019 16:14:22 GMT", "version": "v1" } ]
2019-06-25
[ [ "Tzeng", "Ruo-Chun", "" ], [ "Wu", "Shan-Hung", "" ] ]
We study the problem of detecting critical structures using a graph embedding model. Existing graph embedding models lack the ability to precisely detect critical structures that are specific to a task at the global scale. In this paper, we propose a novel graph embedding model, called the Ego-CNNs, that employs the eg...
cs/0608066
Mariano Zelke
Mariano Zelke
k-Connectivity in the Semi-Streaming Model
13 pages, submitted to Theoretical Computer Science
null
null
null
cs.DM cs.DS
null
We present the first semi-streaming algorithms to determine k-connectivity of an undirected graph with k being any constant. The semi-streaming model for graph algorithms was introduced by Muthukrishnan in 2003 and turns out to be useful when dealing with massive graphs streamed in from an external storage device. ...
[ { "created": "Wed, 16 Aug 2006 10:37:07 GMT", "version": "v1" } ]
2007-05-23
[ [ "Zelke", "Mariano", "" ] ]
We present the first semi-streaming algorithms to determine k-connectivity of an undirected graph with k being any constant. The semi-streaming model for graph algorithms was introduced by Muthukrishnan in 2003 and turns out to be useful when dealing with massive graphs streamed in from an external storage device. Our ...
1305.1690
Nicholas Downing
Nicholas Downing and Thibaut Feydy and Peter J. Stuckey
Unsatisfiable Cores for Constraint Programming
Submitted to CP2013
null
null
null
cs.LO cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Constraint Programming (CP) solvers typically tackle optimization problems by repeatedly finding solutions to a problem while placing tighter and tighter bounds on the solution cost. This approach is somewhat naive, especially for soft-constraint optimization problems in which the soft constraints are mostly satisfie...
[ { "created": "Wed, 8 May 2013 01:50:05 GMT", "version": "v1" } ]
2013-05-09
[ [ "Downing", "Nicholas", "" ], [ "Feydy", "Thibaut", "" ], [ "Stuckey", "Peter J.", "" ] ]
Constraint Programming (CP) solvers typically tackle optimization problems by repeatedly finding solutions to a problem while placing tighter and tighter bounds on the solution cost. This approach is somewhat naive, especially for soft-constraint optimization problems in which the soft constraints are mostly satisfied....
2201.06573
Salar Mohtaj
Salar Mohtaj, Fatemeh Tavakkoli, Habibollah Asghari
PerPaDa: A Persian Paraphrase Dataset based on Implicit Crowdsourcing Data Collection
Submitted to LREC 2022
Proceedings of the Language Resources and Evaluation Conference. 2022; 5090-5096
null
null
cs.CL cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
In this paper we introduce PerPaDa, a Persian paraphrase dataset that is collected from users' input in a plagiarism detection system. As an implicit crowdsourcing experience, we have gathered a large collection of original and paraphrased sentences from Hamtajoo; a Persian plagiarism detection system, in which users...
[ { "created": "Mon, 17 Jan 2022 18:48:39 GMT", "version": "v1" } ]
2022-09-14
[ [ "Mohtaj", "Salar", "" ], [ "Tavakkoli", "Fatemeh", "" ], [ "Asghari", "Habibollah", "" ] ]
In this paper we introduce PerPaDa, a Persian paraphrase dataset that is collected from users' input in a plagiarism detection system. As an implicit crowdsourcing experience, we have gathered a large collection of original and paraphrased sentences from Hamtajoo; a Persian plagiarism detection system, in which users t...
2105.13203
Julien Grand-Cl\'ement
Julien Grand-Cl\'ement, Christian Kroer
Conic Blackwell Algorithm: Parameter-Free Convex-Concave Saddle-Point Solving
null
null
null
null
cs.LG cs.GT
http://creativecommons.org/licenses/by/4.0/
We develop new parameter-free and scale-free algorithms for solving convex-concave saddle-point problems. Our results are based on a new simple regret minimizer, the Conic Blackwell Algorithm$^+$ (CBA$^+$), which attains $O(1/\sqrt{T})$ average regret. Intuitively, our approach generalizes to other decision sets of i...
[ { "created": "Thu, 27 May 2021 14:50:31 GMT", "version": "v1" }, { "created": "Thu, 10 Jun 2021 12:27:34 GMT", "version": "v2" }, { "created": "Thu, 14 Oct 2021 17:03:53 GMT", "version": "v3" } ]
2021-10-15
[ [ "Grand-Clément", "Julien", "" ], [ "Kroer", "Christian", "" ] ]
We develop new parameter-free and scale-free algorithms for solving convex-concave saddle-point problems. Our results are based on a new simple regret minimizer, the Conic Blackwell Algorithm$^+$ (CBA$^+$), which attains $O(1/\sqrt{T})$ average regret. Intuitively, our approach generalizes to other decision sets of int...
2309.13302
Hao Cheng
Hao Cheng, Jiahang Cao, Erjia Xiao, Mengshu Sun, Renjing Xu
Gaining the Sparse Rewards by Exploring Lottery Tickets in Spiking Neural Network
This paper is under submission
null
null
null
cs.NE cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deploying energy-efficient deep learning algorithms on computational-limited devices, such as robots, is still a pressing issue for real-world applications. Spiking Neural Networks (SNNs), a novel brain-inspired algorithm, offer a promising solution due to their low-latency and low-energy properties over traditional ...
[ { "created": "Sat, 23 Sep 2023 08:24:36 GMT", "version": "v1" }, { "created": "Thu, 28 Sep 2023 15:20:37 GMT", "version": "v2" }, { "created": "Thu, 28 Mar 2024 02:24:38 GMT", "version": "v3" } ]
2024-03-29
[ [ "Cheng", "Hao", "" ], [ "Cao", "Jiahang", "" ], [ "Xiao", "Erjia", "" ], [ "Sun", "Mengshu", "" ], [ "Xu", "Renjing", "" ] ]
Deploying energy-efficient deep learning algorithms on computational-limited devices, such as robots, is still a pressing issue for real-world applications. Spiking Neural Networks (SNNs), a novel brain-inspired algorithm, offer a promising solution due to their low-latency and low-energy properties over traditional Ar...
2012.11336
Bo Chen
Bo Chen, Jing Zhang, Xiaokang Zhang, Xiaobin Tang, Lingfan Cai, Hong Chen, Cuiping Li, Peng Zhang, and Jie Tang
CODE: Contrastive Pre-training with Adversarial Fine-tuning for Zero-shot Expert Linking
To appear in AAAI 2022
null
null
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Expert finding, a popular service provided by many online websites such as Expertise Finder, LinkedIn, and AMiner, is beneficial to seeking candidate qualifications, consultants, and collaborators. However, its quality is suffered from lack of ample sources of expert information. This paper employs AMiner as the basi...
[ { "created": "Mon, 14 Dec 2020 03:11:11 GMT", "version": "v1" }, { "created": "Mon, 3 Jan 2022 06:17:40 GMT", "version": "v2" } ]
2022-01-04
[ [ "Chen", "Bo", "" ], [ "Zhang", "Jing", "" ], [ "Zhang", "Xiaokang", "" ], [ "Tang", "Xiaobin", "" ], [ "Cai", "Lingfan", "" ], [ "Chen", "Hong", "" ], [ "Li", "Cuiping", "" ], [ "Zhang", "Peng",...
Expert finding, a popular service provided by many online websites such as Expertise Finder, LinkedIn, and AMiner, is beneficial to seeking candidate qualifications, consultants, and collaborators. However, its quality is suffered from lack of ample sources of expert information. This paper employs AMiner as the basis ...
2106.10419
Enyu Yu
En-Yu Yu, Yan Fu, Jun-Lin Zhou, Hong-Liang Sun, Duan-Bing Chen
Predicting Critical Nodes in Temporal Networks by Dynamic Graph Convolutional Networks
null
null
null
null
cs.SI cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Many real-world systems can be expressed in temporal networks with nodes playing far different roles in structure and function and edges representing the relationships between nodes. Identifying critical nodes can help us control the spread of public opinions or epidemics, predict leading figures in academia, conduct...
[ { "created": "Sat, 19 Jun 2021 04:16:18 GMT", "version": "v1" }, { "created": "Tue, 6 Jul 2021 10:47:33 GMT", "version": "v2" } ]
2021-07-07
[ [ "Yu", "En-Yu", "" ], [ "Fu", "Yan", "" ], [ "Zhou", "Jun-Lin", "" ], [ "Sun", "Hong-Liang", "" ], [ "Chen", "Duan-Bing", "" ] ]
Many real-world systems can be expressed in temporal networks with nodes playing far different roles in structure and function and edges representing the relationships between nodes. Identifying critical nodes can help us control the spread of public opinions or epidemics, predict leading figures in academia, conduct a...
2109.07365
Benedikt Mersch
Benedikt Mersch, Thomas H\"ollen, Kun Zhao, Cyrill Stachniss, Ribana Roscher
Maneuver-based Trajectory Prediction for Self-driving Cars Using Spatio-temporal Convolutional Networks
Accepted for IROS 2021
null
null
null
cs.RO
http://creativecommons.org/licenses/by/4.0/
The ability to predict the future movements of other vehicles is a subconscious and effortless skill for humans and key to safe autonomous driving. Therefore, trajectory prediction for autonomous cars has gained a lot of attention in recent years. It is, however, still a hard task to achieve human-level performance. ...
[ { "created": "Wed, 15 Sep 2021 15:20:36 GMT", "version": "v1" } ]
2021-09-16
[ [ "Mersch", "Benedikt", "" ], [ "Höllen", "Thomas", "" ], [ "Zhao", "Kun", "" ], [ "Stachniss", "Cyrill", "" ], [ "Roscher", "Ribana", "" ] ]
The ability to predict the future movements of other vehicles is a subconscious and effortless skill for humans and key to safe autonomous driving. Therefore, trajectory prediction for autonomous cars has gained a lot of attention in recent years. It is, however, still a hard task to achieve human-level performance. In...
2204.10610
Julio A. Placed Perales
Julio A. Placed and Jos\'e A. Castellanos
Fast Autonomous Robotic Exploration Using the Underlying Graph Structure
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). arXiv admin note: text overlap with arXiv:2110.01289
null
10.1109/IROS51168.2021.9636148
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work, we fully define the existing relationships between traditional optimality criteria and the connectivity of the underlying pose-graph in Active SLAM, characterizing, therefore, the connection between Graph Theory and the Theory Optimal Experimental Design. We validate the proposed relationships in 2D and...
[ { "created": "Fri, 22 Apr 2022 10:02:47 GMT", "version": "v1" } ]
2022-04-25
[ [ "Placed", "Julio A.", "" ], [ "Castellanos", "José A.", "" ] ]
In this work, we fully define the existing relationships between traditional optimality criteria and the connectivity of the underlying pose-graph in Active SLAM, characterizing, therefore, the connection between Graph Theory and the Theory Optimal Experimental Design. We validate the proposed relationships in 2D and 3...
2204.13869
Haoran Xu
Haoran Xu, Kenton Murray
Por Qu\'e N\~ao Utiliser Alla Spr{\aa}k? Mixed Training with Gradient Optimization in Few-Shot Cross-Lingual Transfer
Accepted at Findings of NAACL 2022
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The current state-of-the-art for few-shot cross-lingual transfer learning first trains on abundant labeled data in the source language and then fine-tunes with a few examples on the target language, termed target-adapting. Though this has been demonstrated to work on a variety of tasks, in this paper we show some def...
[ { "created": "Fri, 29 Apr 2022 04:05:02 GMT", "version": "v1" } ]
2022-05-02
[ [ "Xu", "Haoran", "" ], [ "Murray", "Kenton", "" ] ]
The current state-of-the-art for few-shot cross-lingual transfer learning first trains on abundant labeled data in the source language and then fine-tunes with a few examples on the target language, termed target-adapting. Though this has been demonstrated to work on a variety of tasks, in this paper we show some defic...
2105.14423
Ryoma Sato
Ryoma Sato
Enumerating Fair Packages for Group Recommendations
WSDM 2022
null
null
null
cs.IR cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Package-to-group recommender systems recommend a set of unified items to a group of people. Different from conventional settings, it is not easy to measure the utility of group recommendations because it involves more than one user. In particular, fairness is crucial in group recommendations. Even if some members in ...
[ { "created": "Sun, 30 May 2021 04:06:03 GMT", "version": "v1" }, { "created": "Tue, 28 Dec 2021 03:00:20 GMT", "version": "v2" } ]
2021-12-30
[ [ "Sato", "Ryoma", "" ] ]
Package-to-group recommender systems recommend a set of unified items to a group of people. Different from conventional settings, it is not easy to measure the utility of group recommendations because it involves more than one user. In particular, fairness is crucial in group recommendations. Even if some members in a ...