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1903.10289
Andrea Tassi
Andrea Tassi and Ioannis Mavromatis and Robert J. Piechocki
A Dataset of Full-Stack ITS-G5 DSRC Communications over Licensed and Unlicensed Bands Using a Large-Scale Urban Testbed
Manuscript submitted to Elsevier Data in Brief
null
10.1016/j.dib.2019.104368
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A dataset of measurements of ETSI ITS-G5 Dedicated Short Range Communications (DSRC) is presented. Our dataset consists of network interactions happening between two On-Board Units (OBUs) and four Road Side Units (RSUs). Each OBU was fitted onto a vehicle driven across the FLOURISH Test Track in Bristol, UK. Each RSU...
[ { "created": "Mon, 25 Mar 2019 13:07:52 GMT", "version": "v1" }, { "created": "Wed, 3 Apr 2019 06:33:41 GMT", "version": "v2" }, { "created": "Thu, 13 Jun 2019 13:08:42 GMT", "version": "v3" }, { "created": "Wed, 17 Jul 2019 09:47:07 GMT", "version": "v4" } ]
2022-09-05
[ [ "Tassi", "Andrea", "" ], [ "Mavromatis", "Ioannis", "" ], [ "Piechocki", "Robert J.", "" ] ]
A dataset of measurements of ETSI ITS-G5 Dedicated Short Range Communications (DSRC) is presented. Our dataset consists of network interactions happening between two On-Board Units (OBUs) and four Road Side Units (RSUs). Each OBU was fitted onto a vehicle driven across the FLOURISH Test Track in Bristol, UK. Each RSU a...
2305.13993
Haoran Xu
Haoran Xu, Weiting Tan, Shuyue Stella Li, Yunmo Chen, Benjamin Van Durme, Philipp Koehn, Kenton Murray
Condensing Multilingual Knowledge with Lightweight Language-Specific Modules
Accepted at the main conference of EMNLP 2023
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Incorporating language-specific (LS) modules is a proven method to boost performance in multilingual machine translation. This approach bears similarity to Mixture-of-Experts (MoE) because it does not inflate FLOPs. However, the scalability of this approach to hundreds of languages (experts) tends to be unmanageable ...
[ { "created": "Tue, 23 May 2023 12:21:38 GMT", "version": "v1" }, { "created": "Sun, 8 Oct 2023 18:15:20 GMT", "version": "v2" }, { "created": "Sun, 22 Oct 2023 17:52:19 GMT", "version": "v3" } ]
2023-10-24
[ [ "Xu", "Haoran", "" ], [ "Tan", "Weiting", "" ], [ "Li", "Shuyue Stella", "" ], [ "Chen", "Yunmo", "" ], [ "Van Durme", "Benjamin", "" ], [ "Koehn", "Philipp", "" ], [ "Murray", "Kenton", "" ] ]
Incorporating language-specific (LS) modules is a proven method to boost performance in multilingual machine translation. This approach bears similarity to Mixture-of-Experts (MoE) because it does not inflate FLOPs. However, the scalability of this approach to hundreds of languages (experts) tends to be unmanageable du...
1906.02398
Jiawei Du
Jiawei Du, Hu Zhang, Joey Tianyi Zhou, Yi Yang, Jiashi Feng
Query-efficient Meta Attack to Deep Neural Networks
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Black-box attack methods aim to infer suitable attack patterns to targeted DNN models by only using output feedback of the models and the corresponding input queries. However, due to lack of prior and inefficiency in leveraging the query and feedback information, existing methods are mostly query-intensive for obtain...
[ { "created": "Thu, 6 Jun 2019 03:49:00 GMT", "version": "v1" }, { "created": "Thu, 13 Feb 2020 12:46:24 GMT", "version": "v2" }, { "created": "Sat, 15 Feb 2020 03:51:45 GMT", "version": "v3" } ]
2020-02-18
[ [ "Du", "Jiawei", "" ], [ "Zhang", "Hu", "" ], [ "Zhou", "Joey Tianyi", "" ], [ "Yang", "Yi", "" ], [ "Feng", "Jiashi", "" ] ]
Black-box attack methods aim to infer suitable attack patterns to targeted DNN models by only using output feedback of the models and the corresponding input queries. However, due to lack of prior and inefficiency in leveraging the query and feedback information, existing methods are mostly query-intensive for obtainin...
2302.02888
Kim Cheng Sheang
Horacio Saggion, Sanja \v{S}tajner, Daniel Ferr\'es, Kim Cheng Sheang, Matthew Shardlow, Kai North, Marcos Zampieri
Findings of the TSAR-2022 Shared Task on Multilingual Lexical Simplification
null
null
null
null
cs.CL cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
We report findings of the TSAR-2022 shared task on multilingual lexical simplification, organized as part of the Workshop on Text Simplification, Accessibility, and Readability TSAR-2022 held in conjunction with EMNLP 2022. The task called the Natural Language Processing research community to contribute with methods ...
[ { "created": "Mon, 6 Feb 2023 15:53:51 GMT", "version": "v1" } ]
2023-02-07
[ [ "Saggion", "Horacio", "" ], [ "Štajner", "Sanja", "" ], [ "Ferrés", "Daniel", "" ], [ "Sheang", "Kim Cheng", "" ], [ "Shardlow", "Matthew", "" ], [ "North", "Kai", "" ], [ "Zampieri", "Marcos", "" ] ]
We report findings of the TSAR-2022 shared task on multilingual lexical simplification, organized as part of the Workshop on Text Simplification, Accessibility, and Readability TSAR-2022 held in conjunction with EMNLP 2022. The task called the Natural Language Processing research community to contribute with methods to...
2109.11052
Adrien Ali Taiga
Adrien Ali Ta\"iga, William Fedus, Marlos C. Machado, Aaron Courville and Marc G. Bellemare
On Bonus-Based Exploration Methods in the Arcade Learning Environment
Full version of arXiv:1908.02388
Published as a conference paper at ICLR 2020
null
null
cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
Research on exploration in reinforcement learning, as applied to Atari 2600 game-playing, has emphasized tackling difficult exploration problems such as Montezuma's Revenge (Bellemare et al., 2016). Recently, bonus-based exploration methods, which explore by augmenting the environment reward, have reached above-human...
[ { "created": "Wed, 22 Sep 2021 21:54:21 GMT", "version": "v1" } ]
2021-09-24
[ [ "Taïga", "Adrien Ali", "" ], [ "Fedus", "William", "" ], [ "Machado", "Marlos C.", "" ], [ "Courville", "Aaron", "" ], [ "Bellemare", "Marc G.", "" ] ]
Research on exploration in reinforcement learning, as applied to Atari 2600 game-playing, has emphasized tackling difficult exploration problems such as Montezuma's Revenge (Bellemare et al., 2016). Recently, bonus-based exploration methods, which explore by augmenting the environment reward, have reached above-human a...
1806.00180
Branko Ristic
Branko Ristic, Jeremie Houssineau, Sanjeev Arulampalam
Robust TMA using the possibility particle filter
3 figures, keywords: Target motion analysis; bearings-only tracking; robust stochastic filtering; Monte Carlo estimation; possibility distribution
null
null
null
cs.CE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The problem is target motion analysis (TMA), where the objective is to estimate the state of a moving target from noise corrupted bearings-only measurements. The focus is on recursive TMA, traditionally solved using the Bayesian filters (e.g. the extended or unscented Kalman filters, particle filters). The TMA is a d...
[ { "created": "Fri, 1 Jun 2018 03:59:09 GMT", "version": "v1" } ]
2018-06-04
[ [ "Ristic", "Branko", "" ], [ "Houssineau", "Jeremie", "" ], [ "Arulampalam", "Sanjeev", "" ] ]
The problem is target motion analysis (TMA), where the objective is to estimate the state of a moving target from noise corrupted bearings-only measurements. The focus is on recursive TMA, traditionally solved using the Bayesian filters (e.g. the extended or unscented Kalman filters, particle filters). The TMA is a dif...
2109.01411
Ziqi Zhang
Ziqi Zhang, Xingyi Song
An Exploratory Study on Utilising the Web of Linked Data for Product Data Mining
null
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
The Linked Open Data practice has led to a significant growth of structured data on the Web in the last decade. Such structured data describe real-world entities in a machine-readable way, and have created an unprecedented opportunity for research in the field of Natural Language Processing. However, there is a lack ...
[ { "created": "Fri, 3 Sep 2021 09:58:36 GMT", "version": "v1" }, { "created": "Thu, 10 Feb 2022 16:32:30 GMT", "version": "v2" }, { "created": "Thu, 23 Jun 2022 09:09:21 GMT", "version": "v3" }, { "created": "Fri, 24 Jun 2022 12:18:41 GMT", "version": "v4" } ]
2022-06-27
[ [ "Zhang", "Ziqi", "" ], [ "Song", "Xingyi", "" ] ]
The Linked Open Data practice has led to a significant growth of structured data on the Web in the last decade. Such structured data describe real-world entities in a machine-readable way, and have created an unprecedented opportunity for research in the field of Natural Language Processing. However, there is a lack of...
2402.10216
Hua Li
Hua Li, Lu Zhang, Ruoxi Guo, Zushang Xiao, and Rui Guo
Watertightization of Trimmed Surfaces at Intersection Boundary
10 pages,6 figures
null
null
null
cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper introduces a watertight technique to deal with the boundary representation of surface-surface intersection in CAD. Surfaces play an important role in today's geometric design. The mathematical model of non-uniform rational B-spline surfaces (NURBS) is the mainstream and ISO standard. In the situation of ...
[ { "created": "Thu, 7 Dec 2023 13:29:55 GMT", "version": "v1" } ]
2024-02-19
[ [ "Li", "Hua", "" ], [ "Zhang", "Lu", "" ], [ "Guo", "Ruoxi", "" ], [ "Xiao", "Zushang", "" ], [ "Guo", "Rui", "" ] ]
This paper introduces a watertight technique to deal with the boundary representation of surface-surface intersection in CAD. Surfaces play an important role in today's geometric design. The mathematical model of non-uniform rational B-spline surfaces (NURBS) is the mainstream and ISO standard. In the situation of surf...
cs/0307001
Lee Lueking
Herbert Greenlee, Robert Illingworth, Jim Kowalkowski, Anil Kumar, Lee Lueking, Taka Yasuda, Margherita Vittone, Stephen White
Serving Database Information Using a Flexible Server in a Three Tier Architecture
Talk from the 2003 Computing in High Energy and Nuclear Physics (CHEP03), La Jolla, Ca, USA, March 2003, 4 pages. PSN THKT003
ECONFC0303241:THKT003,2003
null
null
cs.DC cs.DB
null
The D0 experiment at Fermilab relies on a central Oracle database for storing all detector calibration information. Access to this data is needed by hundreds of physics applications distributed worldwide. In order to meet the demands of these applications from scarce resources, we have created a distributed system th...
[ { "created": "Tue, 1 Jul 2003 02:13:32 GMT", "version": "v1" } ]
2008-11-26
[ [ "Greenlee", "Herbert", "" ], [ "Illingworth", "Robert", "" ], [ "Kowalkowski", "Jim", "" ], [ "Kumar", "Anil", "" ], [ "Lueking", "Lee", "" ], [ "Yasuda", "Taka", "" ], [ "Vittone", "Margherita", "" ], ...
The D0 experiment at Fermilab relies on a central Oracle database for storing all detector calibration information. Access to this data is needed by hundreds of physics applications distributed worldwide. In order to meet the demands of these applications from scarce resources, we have created a distributed system that...
2308.05017
Yiyou Sun
Yiyou Sun, Zhenmei Shi, Yingyu Liang, Yixuan Li
When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis
ICML 2023
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Novel Class Discovery (NCD) aims at inferring novel classes in an unlabeled set by leveraging prior knowledge from a labeled set with known classes. Despite its importance, there is a lack of theoretical foundations for NCD. This paper bridges the gap by providing an analytical framework to formalize and investigate ...
[ { "created": "Wed, 9 Aug 2023 15:27:21 GMT", "version": "v1" } ]
2023-08-10
[ [ "Sun", "Yiyou", "" ], [ "Shi", "Zhenmei", "" ], [ "Liang", "Yingyu", "" ], [ "Li", "Yixuan", "" ] ]
Novel Class Discovery (NCD) aims at inferring novel classes in an unlabeled set by leveraging prior knowledge from a labeled set with known classes. Despite its importance, there is a lack of theoretical foundations for NCD. This paper bridges the gap by providing an analytical framework to formalize and investigate wh...
1911.04101
Asma Aloufi
Asma Aloufi, Peizhao Hu
Collaborative Homomorphic Computation on Data Encrypted under Multiple Keys
8 pages, 2 figures, In International Workshop on Privacy Engineering (IWPE'19), co-located with IEEE Symposium on Security and Privacy (S&P'19)
null
null
null
cs.CR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Homomorphic encryption (HE) is a promising cryptographic technique for enabling secure collaborative machine learning in the cloud. However, support for homomorphic computation on ciphertexts under multiple keys is inefficient. Current solutions often require key setup before any computation or incur large ciphertext...
[ { "created": "Mon, 11 Nov 2019 06:30:52 GMT", "version": "v1" } ]
2019-11-12
[ [ "Aloufi", "Asma", "" ], [ "Hu", "Peizhao", "" ] ]
Homomorphic encryption (HE) is a promising cryptographic technique for enabling secure collaborative machine learning in the cloud. However, support for homomorphic computation on ciphertexts under multiple keys is inefficient. Current solutions often require key setup before any computation or incur large ciphertext s...
2207.13862
Wenzhi Gao
Wenzhi Gao, Dongdong Ge, Yinyu Ye
HDSDP: Software for Semidefinite Programming
null
null
null
null
cs.MS math.OC
http://creativecommons.org/licenses/by-nc-sa/4.0/
HDSDP is a numerical software solving the semidefinite programming problems. The main framework of HDSDP resembles the dual-scaling interior point solver DSDP [BY2008] and several new features, including a dual method based on the simplified homogeneous self-dual embedding, have been implemented. The embedding techni...
[ { "created": "Thu, 28 Jul 2022 02:35:08 GMT", "version": "v1" }, { "created": "Thu, 9 Nov 2023 01:35:10 GMT", "version": "v2" } ]
2023-11-10
[ [ "Gao", "Wenzhi", "" ], [ "Ge", "Dongdong", "" ], [ "Ye", "Yinyu", "" ] ]
HDSDP is a numerical software solving the semidefinite programming problems. The main framework of HDSDP resembles the dual-scaling interior point solver DSDP [BY2008] and several new features, including a dual method based on the simplified homogeneous self-dual embedding, have been implemented. The embedding techniqu...
2402.17470
Ahmet Burakhan Koyuncu
Panqi Jia, Jue Mao, Esin Koyuncu, A. Burakhan Koyuncu, Timofey Solovyev, Alexander Karabutov, Yin Zhao, Elena Alshina, Andre Kaup
Bit Distribution Study and Implementation of Spatial Quality Map in the JPEG-AI Standardization
5 pages, 3 figures, 4 tables
null
null
null
cs.CV cs.LG eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Currently, there is a high demand for neural network-based image compression codecs. These codecs employ non-linear transforms to create compact bit representations and facilitate faster coding speeds on devices compared to the hand-crafted transforms used in classical frameworks. The scientific and industrial commun...
[ { "created": "Tue, 27 Feb 2024 12:52:44 GMT", "version": "v1" } ]
2024-02-28
[ [ "Jia", "Panqi", "" ], [ "Mao", "Jue", "" ], [ "Koyuncu", "Esin", "" ], [ "Koyuncu", "A. Burakhan", "" ], [ "Solovyev", "Timofey", "" ], [ "Karabutov", "Alexander", "" ], [ "Zhao", "Yin", "" ], [ "Al...
Currently, there is a high demand for neural network-based image compression codecs. These codecs employ non-linear transforms to create compact bit representations and facilitate faster coding speeds on devices compared to the hand-crafted transforms used in classical frameworks. The scientific and industrial communit...
1408.4959
Ruediger Willenberg
Ruediger Willenberg, Paul Chow
A Software Parallel Programming Approach to FPGA-Accelerated Computing
Presented at First International Workshop on FPGAs for Software Programmers (FSP 2014) (arXiv:1408.4423)
null
null
FSP/2014/08
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper introduces an effort to incorporate reconfigurable logic (FPGA) components into a software programming model. For this purpose, we have implemented a hardware engine for remote memory communication between hardware computation nodes and CPUs. The hardware engine is compatible with the API of GASNet, a popu...
[ { "created": "Thu, 21 Aug 2014 11:08:17 GMT", "version": "v1" } ]
2014-08-22
[ [ "Willenberg", "Ruediger", "" ], [ "Chow", "Paul", "" ] ]
This paper introduces an effort to incorporate reconfigurable logic (FPGA) components into a software programming model. For this purpose, we have implemented a hardware engine for remote memory communication between hardware computation nodes and CPUs. The hardware engine is compatible with the API of GASNet, a popula...
2205.09174
Ehud Shapiro
Idit Keidar, Oded Naor, Ouri Poupko, and Ehud Shapiro
Cordial Miners: Fast and Efficient Consensus for Every Eventuality
null
null
10.4230/LIPIcs.DISC.2023.26
null
cs.DC cs.MA cs.NI
http://creativecommons.org/licenses/by-nc-nd/4.0/
Cordial Miners are a family of efficient Byzantine Atomic Broadcast protocols, with instances for asynchrony and eventual synchrony. They improve the latency of state-of-the-art DAG-based protocols by almost 2X and achieve optimal good-case complexity of O(n) by forgoing Reliable Broadcast as a building block. Ra...
[ { "created": "Wed, 18 May 2022 18:45:20 GMT", "version": "v1" }, { "created": "Mon, 1 Aug 2022 02:28:16 GMT", "version": "v2" }, { "created": "Thu, 11 Aug 2022 19:19:31 GMT", "version": "v3" }, { "created": "Wed, 9 Nov 2022 19:34:18 GMT", "version": "v4" }, { "cre...
2024-02-14
[ [ "Keidar", "Idit", "" ], [ "Naor", "Oded", "" ], [ "Poupko", "Ouri", "" ], [ "Shapiro", "Ehud", "" ] ]
Cordial Miners are a family of efficient Byzantine Atomic Broadcast protocols, with instances for asynchrony and eventual synchrony. They improve the latency of state-of-the-art DAG-based protocols by almost 2X and achieve optimal good-case complexity of O(n) by forgoing Reliable Broadcast as a building block. Rather, ...
1302.4946
Helene Fargier
Helene Fargier, Jerome Lang, Roger Martin-Clouaire, Thomas Schiex
A Constraint Satisfaction Approach to Decision under Uncertainty
Appears in Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence (UAI1995)
null
null
UAI-P-1995-PG-167-174
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Constraint Satisfaction Problem (CSP) framework offers a simple and sound basis for representing and solving simple decision problems, without uncertainty. This paper is devoted to an extension of the CSP framework enabling us to deal with some decisions problems under uncertainty. This extension relies on a diff...
[ { "created": "Wed, 20 Feb 2013 15:20:24 GMT", "version": "v1" } ]
2013-02-21
[ [ "Fargier", "Helene", "" ], [ "Lang", "Jerome", "" ], [ "Martin-Clouaire", "Roger", "" ], [ "Schiex", "Thomas", "" ] ]
The Constraint Satisfaction Problem (CSP) framework offers a simple and sound basis for representing and solving simple decision problems, without uncertainty. This paper is devoted to an extension of the CSP framework enabling us to deal with some decisions problems under uncertainty. This extension relies on a differ...
2212.10729
Chenlu Zhan
Chenlu Zhan, Peng Peng, Hongsen Wang, Tao Chen, Hongwei Wang
UnICLAM:Contrastive Representation Learning with Adversarial Masking for Unified and Interpretable Medical Vision Question Answering
null
null
null
null
cs.CV cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Medical Visual Question Answering (Medical-VQA) aims to to answer clinical questions regarding radiology images, assisting doctors with decision-making options. Nevertheless, current Medical-VQA models learn cross-modal representations through residing vision and texture encoders in dual separate spaces, which lead t...
[ { "created": "Wed, 21 Dec 2022 02:48:15 GMT", "version": "v1" }, { "created": "Fri, 23 Dec 2022 04:16:17 GMT", "version": "v2" }, { "created": "Wed, 27 Sep 2023 11:30:06 GMT", "version": "v3" } ]
2023-09-28
[ [ "Zhan", "Chenlu", "" ], [ "Peng", "Peng", "" ], [ "Wang", "Hongsen", "" ], [ "Chen", "Tao", "" ], [ "Wang", "Hongwei", "" ] ]
Medical Visual Question Answering (Medical-VQA) aims to to answer clinical questions regarding radiology images, assisting doctors with decision-making options. Nevertheless, current Medical-VQA models learn cross-modal representations through residing vision and texture encoders in dual separate spaces, which lead to ...
2301.10972
Ting Chen
Ting Chen
On the Importance of Noise Scheduling for Diffusion Models
tech report
null
null
null
cs.CV cs.GR cs.LG cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We empirically study the effect of noise scheduling strategies for denoising diffusion generative models. There are three findings: (1) the noise scheduling is crucial for the performance, and the optimal one depends on the task (e.g., image sizes), (2) when increasing the image size, the optimal noise scheduling shi...
[ { "created": "Thu, 26 Jan 2023 07:37:22 GMT", "version": "v1" }, { "created": "Fri, 27 Jan 2023 07:39:06 GMT", "version": "v2" }, { "created": "Thu, 16 Feb 2023 18:24:04 GMT", "version": "v3" }, { "created": "Sun, 21 May 2023 07:07:55 GMT", "version": "v4" } ]
2023-05-23
[ [ "Chen", "Ting", "" ] ]
We empirically study the effect of noise scheduling strategies for denoising diffusion generative models. There are three findings: (1) the noise scheduling is crucial for the performance, and the optimal one depends on the task (e.g., image sizes), (2) when increasing the image size, the optimal noise scheduling shift...
2205.15397
Gokul Swamy
Gokul Swamy, Nived Rajaraman, Matthew Peng, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu, Jiantao Jiao, Kannan Ramchandran
Minimax Optimal Online Imitation Learning via Replay Estimation
null
null
null
null
cs.LG stat.ML
http://creativecommons.org/licenses/by-sa/4.0/
Online imitation learning is the problem of how best to mimic expert demonstrations, given access to the environment or an accurate simulator. Prior work has shown that in the infinite sample regime, exact moment matching achieves value equivalence to the expert policy. However, in the finite sample regime, even if o...
[ { "created": "Mon, 30 May 2022 19:29:56 GMT", "version": "v1" }, { "created": "Thu, 2 Jun 2022 15:44:22 GMT", "version": "v2" }, { "created": "Sat, 11 Jun 2022 19:46:49 GMT", "version": "v3" }, { "created": "Sat, 22 Oct 2022 18:36:22 GMT", "version": "v4" }, { "cr...
2023-01-18
[ [ "Swamy", "Gokul", "" ], [ "Rajaraman", "Nived", "" ], [ "Peng", "Matthew", "" ], [ "Choudhury", "Sanjiban", "" ], [ "Bagnell", "J. Andrew", "" ], [ "Wu", "Zhiwei Steven", "" ], [ "Jiao", "Jiantao", "" ], ...
Online imitation learning is the problem of how best to mimic expert demonstrations, given access to the environment or an accurate simulator. Prior work has shown that in the infinite sample regime, exact moment matching achieves value equivalence to the expert policy. However, in the finite sample regime, even if one...
2403.09024
Hyunji Lee
Hyunji Lee, Doyoung Kim, Jihoon Jun, Sejune Joo, Joel Jang, Kyoung-Woon On, Minjoon Seo
Semiparametric Token-Sequence Co-Supervision
null
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work, we introduce a semiparametric token-sequence co-supervision training method. It trains a language model by simultaneously leveraging supervision from the traditional next token prediction loss which is calculated over the parametric token embedding space and the next sequence prediction loss which is ca...
[ { "created": "Thu, 14 Mar 2024 01:28:13 GMT", "version": "v1" } ]
2024-03-15
[ [ "Lee", "Hyunji", "" ], [ "Kim", "Doyoung", "" ], [ "Jun", "Jihoon", "" ], [ "Joo", "Sejune", "" ], [ "Jang", "Joel", "" ], [ "On", "Kyoung-Woon", "" ], [ "Seo", "Minjoon", "" ] ]
In this work, we introduce a semiparametric token-sequence co-supervision training method. It trains a language model by simultaneously leveraging supervision from the traditional next token prediction loss which is calculated over the parametric token embedding space and the next sequence prediction loss which is calc...
2306.01016
Hejie Cui
Hejie Cui, Rongmei Lin, Nasser Zalmout, Chenwei Zhang, Jingbo Shang, Carl Yang, Xian Li
PV2TEA: Patching Visual Modality to Textual-Established Information Extraction
ACL 2023 Findings
null
null
null
cs.CL cs.AI cs.CV cs.LG cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Information extraction, e.g., attribute value extraction, has been extensively studied and formulated based only on text. However, many attributes can benefit from image-based extraction, like color, shape, pattern, among others. The visual modality has long been underutilized, mainly due to multimodal annotation dif...
[ { "created": "Thu, 1 Jun 2023 05:39:45 GMT", "version": "v1" } ]
2023-06-05
[ [ "Cui", "Hejie", "" ], [ "Lin", "Rongmei", "" ], [ "Zalmout", "Nasser", "" ], [ "Zhang", "Chenwei", "" ], [ "Shang", "Jingbo", "" ], [ "Yang", "Carl", "" ], [ "Li", "Xian", "" ] ]
Information extraction, e.g., attribute value extraction, has been extensively studied and formulated based only on text. However, many attributes can benefit from image-based extraction, like color, shape, pattern, among others. The visual modality has long been underutilized, mainly due to multimodal annotation diffi...
2004.02089
Conrad M Albrecht
Conrad M Albrecht, Marcus Freitag, Theodore G van Kessel, Siyuan Lu, Hendrik F Hamann
Event Clustering & Event Series Characterization on Expected Frequency
null
2017 IEEE International Conference on Big Data (Big Data)
10.1109/BigData.2017.8258495
null
cs.DC cs.DS cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present an efficient clustering algorithm applicable to one-dimensional data such as e.g. a series of timestamps. Given an expected frequency $\Delta T^{-1}$, we introduce an $\mathcal{O}(N)$-efficient method of characterizing $N$ events represented by an ordered series of timestamps $t_1,t_2,\dots,t_N$. In practi...
[ { "created": "Sun, 5 Apr 2020 04:06:59 GMT", "version": "v1" } ]
2020-04-07
[ [ "Albrecht", "Conrad M", "" ], [ "Freitag", "Marcus", "" ], [ "van Kessel", "Theodore G", "" ], [ "Lu", "Siyuan", "" ], [ "Hamann", "Hendrik F", "" ] ]
We present an efficient clustering algorithm applicable to one-dimensional data such as e.g. a series of timestamps. Given an expected frequency $\Delta T^{-1}$, we introduce an $\mathcal{O}(N)$-efficient method of characterizing $N$ events represented by an ordered series of timestamps $t_1,t_2,\dots,t_N$. In practice...
2407.04333
Luca Comanducci
Francesca Ronchini, Luca Comanducci, Gabriele Perego, Fabio Antonacci
PAGURI: a user experience study of creative interaction with text-to-music models
null
null
null
null
cs.SD eess.AS
http://creativecommons.org/licenses/by/4.0/
In recent years, text-to-music models have been the biggest breakthrough in automatic music generation. While they are unquestionably a showcase of technological progress, it is not clear yet how they can be realistically integrated into the artistic practice of musicians and music practitioners. This paper aims to a...
[ { "created": "Fri, 5 Jul 2024 08:15:55 GMT", "version": "v1" } ]
2024-07-08
[ [ "Ronchini", "Francesca", "" ], [ "Comanducci", "Luca", "" ], [ "Perego", "Gabriele", "" ], [ "Antonacci", "Fabio", "" ] ]
In recent years, text-to-music models have been the biggest breakthrough in automatic music generation. While they are unquestionably a showcase of technological progress, it is not clear yet how they can be realistically integrated into the artistic practice of musicians and music practitioners. This paper aims to add...
1804.08229
Shiqi Zhang
Yuqian Jiang and Shiqi Zhang and Piyush Khandelwal and Peter Stone
Task Planning in Robotics: an Empirical Comparison of PDDL-based and ASP-based Systems
null
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Robots need task planning algorithms to sequence actions toward accomplishing goals that are impossible through individual actions. Off-the-shelf task planners can be used by intelligent robotics practitioners to solve a variety of planning problems. However, many different planners exist, each with different strengt...
[ { "created": "Mon, 23 Apr 2018 02:46:36 GMT", "version": "v1" }, { "created": "Mon, 21 Jan 2019 04:29:32 GMT", "version": "v2" }, { "created": "Mon, 25 Feb 2019 23:28:49 GMT", "version": "v3" } ]
2019-02-27
[ [ "Jiang", "Yuqian", "" ], [ "Zhang", "Shiqi", "" ], [ "Khandelwal", "Piyush", "" ], [ "Stone", "Peter", "" ] ]
Robots need task planning algorithms to sequence actions toward accomplishing goals that are impossible through individual actions. Off-the-shelf task planners can be used by intelligent robotics practitioners to solve a variety of planning problems. However, many different planners exist, each with different strengths...
2306.05344
Haomin Yu
Haomin Yu, Yanru Song, Jilin Hu, Chenjuan Guo, Bin Yang
A Crystal-Specific Pre-Training Framework for Crystal Material Property Prediction
null
null
null
null
cs.LG cond-mat.mtrl-sci
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Crystal property prediction is a crucial aspect of developing novel materials. However, there are two technical challenges to be addressed for speeding up the investigation of crystals. First, labeling crystal properties is intrinsically difficult due to the high cost and time involved in physical simulations or lab ...
[ { "created": "Thu, 8 Jun 2023 16:46:11 GMT", "version": "v1" }, { "created": "Fri, 9 Jun 2023 08:27:55 GMT", "version": "v2" } ]
2023-06-12
[ [ "Yu", "Haomin", "" ], [ "Song", "Yanru", "" ], [ "Hu", "Jilin", "" ], [ "Guo", "Chenjuan", "" ], [ "Yang", "Bin", "" ] ]
Crystal property prediction is a crucial aspect of developing novel materials. However, there are two technical challenges to be addressed for speeding up the investigation of crystals. First, labeling crystal properties is intrinsically difficult due to the high cost and time involved in physical simulations or lab ex...
1904.07675
Ricardo P\'erez-Marco
Cyril Grunspan, Ricardo P\'erez-Marco
Selfish Mining and Dyck Words in Bitcoin and Ethereum Networks
10 pages, 4 figures. To appear in Proceedings of Tokenomics, International COnference on Blockchain Economics, Security and Protocols, Paris, 2019
null
null
null
cs.CR math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The main goal of this article is to present a direct approach for the formula giving the long-term apparent hashrates of Selfish Mining strategies using only elementary probabilities and combinatorics, more precisely, Dyck words. We can avoid computing stationary probabilities on Markov chain, nor stopping times for ...
[ { "created": "Thu, 11 Apr 2019 23:18:46 GMT", "version": "v1" } ]
2019-04-17
[ [ "Grunspan", "Cyril", "" ], [ "Pérez-Marco", "Ricardo", "" ] ]
The main goal of this article is to present a direct approach for the formula giving the long-term apparent hashrates of Selfish Mining strategies using only elementary probabilities and combinatorics, more precisely, Dyck words. We can avoid computing stationary probabilities on Markov chain, nor stopping times for Po...
1301.0935
Chung-Pi Lee
Chung-Pi Lee, Shih-Chun Lin, Hsuan-Jung Su and H. Vincent Poor
Multi-user lattice coding for the multiple-access relay channel
32 pages, 5 figures
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper considers the multi-antenna multiple access relay channel (MARC), in which multiple users transmit messages to a common destination with the assistance of a relay. In a variety of MARC settings, the dynamic decode and forward (DDF) protocol is very useful due to its outstanding rate performance. However, t...
[ { "created": "Sat, 5 Jan 2013 19:48:48 GMT", "version": "v1" } ]
2013-01-08
[ [ "Lee", "Chung-Pi", "" ], [ "Lin", "Shih-Chun", "" ], [ "Su", "Hsuan-Jung", "" ], [ "Poor", "H. Vincent", "" ] ]
This paper considers the multi-antenna multiple access relay channel (MARC), in which multiple users transmit messages to a common destination with the assistance of a relay. In a variety of MARC settings, the dynamic decode and forward (DDF) protocol is very useful due to its outstanding rate performance. However, the...
2008.05363
Sebastian Hofst\"atter
Sebastian Hofst\"atter, Markus Zlabinger, Mete Sertkan, Michael Schr\"oder, Allan Hanbury
Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering
Accepted at CIKM 2020 (Resource Track)
null
null
null
cs.IR cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
There are many existing retrieval and question answering datasets. However, most of them either focus on ranked list evaluation or single-candidate question answering. This divide makes it challenging to properly evaluate approaches concerned with ranking documents and providing snippets or answers for a given query....
[ { "created": "Wed, 12 Aug 2020 14:59:50 GMT", "version": "v1" } ]
2020-08-13
[ [ "Hofstätter", "Sebastian", "" ], [ "Zlabinger", "Markus", "" ], [ "Sertkan", "Mete", "" ], [ "Schröder", "Michael", "" ], [ "Hanbury", "Allan", "" ] ]
There are many existing retrieval and question answering datasets. However, most of them either focus on ranked list evaluation or single-candidate question answering. This divide makes it challenging to properly evaluate approaches concerned with ranking documents and providing snippets or answers for a given query. I...
2203.03582
Songjun Cao
Keqi Deng, Songjun Cao, Yike Zhang, Long Ma, Gaofeng Cheng, Ji Xu, Pengyuan Zhang
Improving CTC-based speech recognition via knowledge transferring from pre-trained language models
ICASSP 2022
null
null
null
cs.CL cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently, end-to-end automatic speech recognition models based on connectionist temporal classification (CTC) have achieved impressive results, especially when fine-tuned from wav2vec2.0 models. Due to the conditional independence assumption, CTC-based models are always weaker than attention-based encoder-decoder mod...
[ { "created": "Tue, 22 Feb 2022 11:30:55 GMT", "version": "v1" } ]
2022-03-08
[ [ "Deng", "Keqi", "" ], [ "Cao", "Songjun", "" ], [ "Zhang", "Yike", "" ], [ "Ma", "Long", "" ], [ "Cheng", "Gaofeng", "" ], [ "Xu", "Ji", "" ], [ "Zhang", "Pengyuan", "" ] ]
Recently, end-to-end automatic speech recognition models based on connectionist temporal classification (CTC) have achieved impressive results, especially when fine-tuned from wav2vec2.0 models. Due to the conditional independence assumption, CTC-based models are always weaker than attention-based encoder-decoder model...
2207.06814
Javier de la Rosa
Javier de la Rosa, Eduardo G. Ponferrada, Paulo Villegas, Pablo Gonzalez de Prado Salas, Manu Romero, Mar{\i}a Grandury
BERTIN: Efficient Pre-Training of a Spanish Language Model using Perplexity Sampling
Published at Procesamiento del Lenguaje Natural
Procesamiento del Lenguaje Natural, 68 (2022): 13-23
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by-sa/4.0/
The pre-training of large language models usually requires massive amounts of resources, both in terms of computation and data. Frequently used web sources such as Common Crawl might contain enough noise to make this pre-training sub-optimal. In this work, we experiment with different sampling methods from the Spanis...
[ { "created": "Thu, 14 Jul 2022 10:48:42 GMT", "version": "v1" } ]
2022-07-15
[ [ "de la Rosa", "Javier", "" ], [ "Ponferrada", "Eduardo G.", "" ], [ "Villegas", "Paulo", "" ], [ "Salas", "Pablo Gonzalez de Prado", "" ], [ "Romero", "Manu", "" ], [ "Grandury", "Marıa", "" ] ]
The pre-training of large language models usually requires massive amounts of resources, both in terms of computation and data. Frequently used web sources such as Common Crawl might contain enough noise to make this pre-training sub-optimal. In this work, we experiment with different sampling methods from the Spanish ...
1805.09621
Zhe Cheng Fan
Zhe-Cheng Fan, Tak-Shing T. Chan, Yi-Hsuan Yang, and Jyh-Shing R. Jang
Backpropagation with N-D Vector-Valued Neurons Using Arbitrary Bilinear Products
14 pages, 8 figures, 3 tables
null
null
null
cs.LG cs.CV stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Vector-valued neural learning has emerged as a promising direction in deep learning recently. Traditionally, training data for neural networks (NNs) are formulated as a vector of scalars; however, its performance may not be optimal since associations among adjacent scalars are not modeled. In this paper, we propose a...
[ { "created": "Thu, 24 May 2018 12:01:53 GMT", "version": "v1" } ]
2018-05-25
[ [ "Fan", "Zhe-Cheng", "" ], [ "Chan", "Tak-Shing T.", "" ], [ "Yang", "Yi-Hsuan", "" ], [ "Jang", "Jyh-Shing R.", "" ] ]
Vector-valued neural learning has emerged as a promising direction in deep learning recently. Traditionally, training data for neural networks (NNs) are formulated as a vector of scalars; however, its performance may not be optimal since associations among adjacent scalars are not modeled. In this paper, we propose a n...
2106.08235
Zhaozhuo Xu
Zhaozhuo Xu, Minghao Yan, Junyan Zhang, Anshumali Shrivastava
PairConnect: A Compute-Efficient MLP Alternative to Attention
null
null
null
null
cs.LG cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Transformer models have demonstrated superior performance in natural language processing. The dot product self-attention in Transformer allows us to model interactions between words. However, this modeling comes with significant computational overhead. In this work, we revisit the memory-compute trade-off associated ...
[ { "created": "Tue, 15 Jun 2021 15:39:45 GMT", "version": "v1" } ]
2021-06-16
[ [ "Xu", "Zhaozhuo", "" ], [ "Yan", "Minghao", "" ], [ "Zhang", "Junyan", "" ], [ "Shrivastava", "Anshumali", "" ] ]
Transformer models have demonstrated superior performance in natural language processing. The dot product self-attention in Transformer allows us to model interactions between words. However, this modeling comes with significant computational overhead. In this work, we revisit the memory-compute trade-off associated wi...
2405.05170
Sijing Xie
Sijing Xie, Chengxin Zhao, Nan Sun, Wei Li, Hefei Ling
Picking watermarks from noise (PWFN): an improved robust watermarking model against intensive distortions
null
null
null
null
cs.MM cs.CV eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Digital watermarking is the process of embedding secret information by altering images in an undetectable way to the human eye. To increase the robustness of the model, many deep learning-based watermarking methods use the encoder-noise-decoder architecture by adding different noises to the noise layer. The decoder t...
[ { "created": "Wed, 8 May 2024 16:06:57 GMT", "version": "v1" }, { "created": "Fri, 17 May 2024 15:08:17 GMT", "version": "v2" } ]
2024-05-20
[ [ "Xie", "Sijing", "" ], [ "Zhao", "Chengxin", "" ], [ "Sun", "Nan", "" ], [ "Li", "Wei", "" ], [ "Ling", "Hefei", "" ] ]
Digital watermarking is the process of embedding secret information by altering images in an undetectable way to the human eye. To increase the robustness of the model, many deep learning-based watermarking methods use the encoder-noise-decoder architecture by adding different noises to the noise layer. The decoder the...
2404.03663
Man Yao
Man Yao and Jiakui Hu and Tianxiang Hu and Yifan Xu and Zhaokun Zhou and Yonghong Tian and Bo Xu and Guoqi Li
Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips
Accepted by ICLR2024. Code and Model: https://github.com/BICLab/Spike-Driven-Transformer-V2
null
null
null
cs.NE cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Neuromorphic computing, which exploits Spiking Neural Networks (SNNs) on neuromorphic chips, is a promising energy-efficient alternative to traditional AI. CNN-based SNNs are the current mainstream of neuromorphic computing. By contrast, no neuromorphic chips are designed especially for Transformer-based SNNs, which ...
[ { "created": "Thu, 15 Feb 2024 13:26:18 GMT", "version": "v1" } ]
2024-04-08
[ [ "Yao", "Man", "" ], [ "Hu", "Jiakui", "" ], [ "Hu", "Tianxiang", "" ], [ "Xu", "Yifan", "" ], [ "Zhou", "Zhaokun", "" ], [ "Tian", "Yonghong", "" ], [ "Xu", "Bo", "" ], [ "Li", "Guoqi", "" ...
Neuromorphic computing, which exploits Spiking Neural Networks (SNNs) on neuromorphic chips, is a promising energy-efficient alternative to traditional AI. CNN-based SNNs are the current mainstream of neuromorphic computing. By contrast, no neuromorphic chips are designed especially for Transformer-based SNNs, which ha...
2111.04344
Chengzhi Zhang
Yi Zhao, Lifan Liu, Chengzhi Zhang
Is Coronavirus-Related Research Becoming More Interdisciplinary? A Perspective of Co-occurrence Analysis and Diversity Measure of Scientific Articles
null
null
10.1016/j.techfore.2021.121344
null
cs.DL cs.CY
http://creativecommons.org/licenses/by/4.0/
The outbreak of coronavirus disease 2019 (COVID-19) has had a significant repercussion on the health, economy, politics and environment, making coronavirus-related issues more complicated and difficult to solve adequately by relying on a single field. Interdisciplinary research can provide an effective solution to co...
[ { "created": "Mon, 8 Nov 2021 09:05:36 GMT", "version": "v1" } ]
2021-11-09
[ [ "Zhao", "Yi", "" ], [ "Liu", "Lifan", "" ], [ "Zhang", "Chengzhi", "" ] ]
The outbreak of coronavirus disease 2019 (COVID-19) has had a significant repercussion on the health, economy, politics and environment, making coronavirus-related issues more complicated and difficult to solve adequately by relying on a single field. Interdisciplinary research can provide an effective solution to comp...
1903.07037
Ido Cohn
Ido Cohn, Itay Laish, Genady Beryozkin, Gang Li, Izhak Shafran, Idan Szpektor, Tzvika Hartman, Avinatan Hassidim, Yossi Matias
Audio De-identification: A New Entity Recognition Task
Accepted to NAACL 2019 Industry Track
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Named Entity Recognition (NER) has been mostly studied in the context of written text. Specifically, NER is an important step in de-identification (de-ID) of medical records, many of which are recorded conversations between a patient and a doctor. In such recordings, audio spans with personal information should be re...
[ { "created": "Sun, 17 Mar 2019 07:07:44 GMT", "version": "v1" }, { "created": "Sun, 5 May 2019 06:36:02 GMT", "version": "v2" } ]
2019-05-07
[ [ "Cohn", "Ido", "" ], [ "Laish", "Itay", "" ], [ "Beryozkin", "Genady", "" ], [ "Li", "Gang", "" ], [ "Shafran", "Izhak", "" ], [ "Szpektor", "Idan", "" ], [ "Hartman", "Tzvika", "" ], [ "Hassidim", ...
Named Entity Recognition (NER) has been mostly studied in the context of written text. Specifically, NER is an important step in de-identification (de-ID) of medical records, many of which are recorded conversations between a patient and a doctor. In such recordings, audio spans with personal information should be reda...
2201.10164
Kazuya Horibe
Kazuya Horibe, Yuanxiang Fan, Yutaka Nakamura, Hiroshi Ishiguro
Investigating the impact of free energy based behavior on human in human-agent interaction
5 pages, 5 figures, AROB2022
null
null
null
cs.HC cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
Humans communicate non-verbally by sharing physical rhythms, such as nodding and gestures, to involve each other. This sharing of physicality creates a sense of unity and makes humans feel involved with others. In this paper, we developed a new body motion generation system based on the free-energy principle (FEP), w...
[ { "created": "Tue, 25 Jan 2022 08:08:30 GMT", "version": "v1" } ]
2022-01-26
[ [ "Horibe", "Kazuya", "" ], [ "Fan", "Yuanxiang", "" ], [ "Nakamura", "Yutaka", "" ], [ "Ishiguro", "Hiroshi", "" ] ]
Humans communicate non-verbally by sharing physical rhythms, such as nodding and gestures, to involve each other. This sharing of physicality creates a sense of unity and makes humans feel involved with others. In this paper, we developed a new body motion generation system based on the free-energy principle (FEP), whi...
1807.05686
Bruno Vavala
Mic Bowman, Andrea Miele, Michael Steiner, Bruno Vavala
Private Data Objects: an Overview
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present Private Data Objects (PDOs), a technology that enables mutually untrusted parties to run smart contracts over private data. PDOs result from the integration of a distributed ledger and Intel Secure Guard Extensions (SGX). In particular, contracts run off-ledger in secure enclaves using Intel SGX, which pre...
[ { "created": "Mon, 16 Jul 2018 06:03:56 GMT", "version": "v1" }, { "created": "Mon, 5 Nov 2018 22:49:21 GMT", "version": "v2" } ]
2018-11-07
[ [ "Bowman", "Mic", "" ], [ "Miele", "Andrea", "" ], [ "Steiner", "Michael", "" ], [ "Vavala", "Bruno", "" ] ]
We present Private Data Objects (PDOs), a technology that enables mutually untrusted parties to run smart contracts over private data. PDOs result from the integration of a distributed ledger and Intel Secure Guard Extensions (SGX). In particular, contracts run off-ledger in secure enclaves using Intel SGX, which prese...
2204.10419
Oliver Limoyo
Oliver Limoyo, Trevor Ablett, and Jonathan Kelly
Learning Sequential Latent Variable Models from Multimodal Time Series Data
In: Petrovic, I., Menegatti, E., Markovi\'c, I. (eds) Intelligent Autonomous Systems 17. IAS 2022. Lecture Notes in Networks and Systems, vol 577. Springer, Cham
null
10.1007/978-3-031-22216-0_35
null
cs.LG cs.AI cs.CV cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sequential modelling of high-dimensional data is an important problem that appears in many domains including model-based reinforcement learning and dynamics identification for control. Latent variable models applied to sequential data (i.e., latent dynamics models) have been shown to be a particularly effective proba...
[ { "created": "Thu, 21 Apr 2022 21:59:24 GMT", "version": "v1" }, { "created": "Fri, 20 Jan 2023 07:11:44 GMT", "version": "v2" } ]
2023-01-23
[ [ "Limoyo", "Oliver", "" ], [ "Ablett", "Trevor", "" ], [ "Kelly", "Jonathan", "" ] ]
Sequential modelling of high-dimensional data is an important problem that appears in many domains including model-based reinforcement learning and dynamics identification for control. Latent variable models applied to sequential data (i.e., latent dynamics models) have been shown to be a particularly effective probabi...
2406.14099
Federico Ruggeri
Federico Ruggeri, Eleonora Misino, Arianna Muti, Katerina Korre, Paolo Torroni, Alberto Barr\'on-Cede\~no
Let Guidelines Guide You: A Prescriptive Guideline-Centered Data Annotation Methodology
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by-sa/4.0/
We introduce the Guideline-Centered annotation process, a novel data annotation methodology focused on reporting the annotation guidelines associated with each data sample. We identify three main limitations of the standard prescriptive annotation process and describe how the Guideline-Centered methodology overcomes ...
[ { "created": "Thu, 20 Jun 2024 08:24:57 GMT", "version": "v1" }, { "created": "Tue, 2 Jul 2024 15:38:17 GMT", "version": "v2" } ]
2024-07-03
[ [ "Ruggeri", "Federico", "" ], [ "Misino", "Eleonora", "" ], [ "Muti", "Arianna", "" ], [ "Korre", "Katerina", "" ], [ "Torroni", "Paolo", "" ], [ "Barrón-Cedeño", "Alberto", "" ] ]
We introduce the Guideline-Centered annotation process, a novel data annotation methodology focused on reporting the annotation guidelines associated with each data sample. We identify three main limitations of the standard prescriptive annotation process and describe how the Guideline-Centered methodology overcomes th...
2106.03893
Devin Kreuzer
Devin Kreuzer, Dominique Beaini, William L. Hamilton, Vincent L\'etourneau and Prudencio Tossou
Rethinking Graph Transformers with Spectral Attention
Accepted in Proceedings of NeurIPS 2021
null
null
null
cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
In recent years, the Transformer architecture has proven to be very successful in sequence processing, but its application to other data structures, such as graphs, has remained limited due to the difficulty of properly defining positions. Here, we present the $\textit{Spectral Attention Network}$ (SAN), which uses a...
[ { "created": "Mon, 7 Jun 2021 18:11:11 GMT", "version": "v1" }, { "created": "Wed, 9 Jun 2021 01:24:23 GMT", "version": "v2" }, { "created": "Wed, 27 Oct 2021 16:09:50 GMT", "version": "v3" } ]
2021-10-28
[ [ "Kreuzer", "Devin", "" ], [ "Beaini", "Dominique", "" ], [ "Hamilton", "William L.", "" ], [ "Létourneau", "Vincent", "" ], [ "Tossou", "Prudencio", "" ] ]
In recent years, the Transformer architecture has proven to be very successful in sequence processing, but its application to other data structures, such as graphs, has remained limited due to the difficulty of properly defining positions. Here, we present the $\textit{Spectral Attention Network}$ (SAN), which uses a l...
2404.16692
Markus Huff
Lydia Uhler, Verena Jordan, J\"urgen Buder, Markus Huff, Frank Papenmeier
Influence of Solution Efficiency and Valence of Instruction on Additive and Subtractive Solution Strategies in Humans and GPT-4
29 pages, 2 figures
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by-nc-sa/4.0/
We explored the addition bias, a cognitive tendency to prefer adding elements over removing them to alter an initial state or structure, by conducting four preregistered experiments examining the problem-solving behavior of both humans and OpenAl's GPT-4 large language model. The experiments involved 588 participants...
[ { "created": "Thu, 25 Apr 2024 15:53:00 GMT", "version": "v1" } ]
2024-04-26
[ [ "Uhler", "Lydia", "" ], [ "Jordan", "Verena", "" ], [ "Buder", "Jürgen", "" ], [ "Huff", "Markus", "" ], [ "Papenmeier", "Frank", "" ] ]
We explored the addition bias, a cognitive tendency to prefer adding elements over removing them to alter an initial state or structure, by conducting four preregistered experiments examining the problem-solving behavior of both humans and OpenAl's GPT-4 large language model. The experiments involved 588 participants f...
2102.12962
Rui Yang
Rui Yang, Jiafei Lyu, Yu Yang, Jiangpeng Yan, Feng Luo, Dijun Luo, Lanqing Li, Xiu Li
Bias-reduced Multi-step Hindsight Experience Replay for Efficient Multi-goal Reinforcement Learning
20pages, 8 figures
null
null
null
cs.LG cs.AI cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multi-goal reinforcement learning is widely applied in planning and robot manipulation. Two main challenges in multi-goal reinforcement learning are sparse rewards and sample inefficiency. Hindsight Experience Replay (HER) aims to tackle the two challenges via goal relabeling. However, HER-related works still need mi...
[ { "created": "Thu, 25 Feb 2021 16:05:57 GMT", "version": "v1" }, { "created": "Wed, 30 Jun 2021 04:55:42 GMT", "version": "v2" }, { "created": "Mon, 26 Sep 2022 15:42:17 GMT", "version": "v3" } ]
2022-09-27
[ [ "Yang", "Rui", "" ], [ "Lyu", "Jiafei", "" ], [ "Yang", "Yu", "" ], [ "Yan", "Jiangpeng", "" ], [ "Luo", "Feng", "" ], [ "Luo", "Dijun", "" ], [ "Li", "Lanqing", "" ], [ "Li", "Xiu", "" ] ...
Multi-goal reinforcement learning is widely applied in planning and robot manipulation. Two main challenges in multi-goal reinforcement learning are sparse rewards and sample inefficiency. Hindsight Experience Replay (HER) aims to tackle the two challenges via goal relabeling. However, HER-related works still need mill...
2107.08922
Zhi Liu
Zhi Liu and Nikhil Garg
Test-optional Policies: Overcoming Strategic Behavior and Informational Gaps
null
null
null
null
cs.GT stat.AP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Due to the Covid-19 pandemic, more than 500 US-based colleges and universities went "test-optional" for admissions and promised that they would not penalize applicants for not submitting test scores, part of a longer trend to rethink the role of testing in college admissions. However, it remains unclear how (and whet...
[ { "created": "Mon, 19 Jul 2021 14:36:53 GMT", "version": "v1" } ]
2021-07-20
[ [ "Liu", "Zhi", "" ], [ "Garg", "Nikhil", "" ] ]
Due to the Covid-19 pandemic, more than 500 US-based colleges and universities went "test-optional" for admissions and promised that they would not penalize applicants for not submitting test scores, part of a longer trend to rethink the role of testing in college admissions. However, it remains unclear how (and whethe...
1702.07489
Krishna Sivalingam
Dhathri R. Purohith and Krishna M. Sivalingam
SIFM: A network architecture for seamless flow mobility between LTE and WiFi networks - Analysis and Testbed Implementation
null
Springer CSI Transactions on ICT, March 2019
10.1007/s40012-019-00214-1
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper deals with cellular (e.g. LTE) networks that selectively offload the mobile data traffic onto WiFi (IEEE 802.11) networks to improve network performance. We propose the Seamless Internetwork Flow Mobility (SIFM) architecture that provides seamless flow-mobility support using concepts of Software Defined Ne...
[ { "created": "Fri, 24 Feb 2017 08:20:29 GMT", "version": "v1" } ]
2020-07-07
[ [ "Purohith", "Dhathri R.", "" ], [ "Sivalingam", "Krishna M.", "" ] ]
This paper deals with cellular (e.g. LTE) networks that selectively offload the mobile data traffic onto WiFi (IEEE 802.11) networks to improve network performance. We propose the Seamless Internetwork Flow Mobility (SIFM) architecture that provides seamless flow-mobility support using concepts of Software Defined Netw...
1103.4399
Sylvain Schmitz
Sylvain Schmitz and Philippe Schnoebelen
Multiply-Recursive Upper Bounds with Higman's Lemma
null
In Aceto, L., Henzinger, M., and Sgall, J., editors, ICALP 2011, 38th International Colloquium on Automata, Languages and Programming, volume 6756 of Lecture Notes in Computer Science, pages 441--452. Springer Heidelberg
10.1007/978-3-642-22012-8_35
null
cs.LO cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We develop a new analysis for the length of controlled bad sequences in well-quasi-orderings based on Higman's Lemma. This leads to tight multiply-recursive upper bounds that readily apply to several verification algorithms for well-structured systems.
[ { "created": "Tue, 22 Mar 2011 22:03:34 GMT", "version": "v1" }, { "created": "Tue, 19 Jul 2011 11:27:14 GMT", "version": "v2" } ]
2011-07-20
[ [ "Schmitz", "Sylvain", "" ], [ "Schnoebelen", "Philippe", "" ] ]
We develop a new analysis for the length of controlled bad sequences in well-quasi-orderings based on Higman's Lemma. This leads to tight multiply-recursive upper bounds that readily apply to several verification algorithms for well-structured systems.
1701.06141
Tianli Liao
Nan Li, Tianli Liao, Chao Wang
Perception-based energy functions in seam-cutting
5 pages, 6 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Image stitching is challenging in consumer-level photography, due to alignment difficulties in unconstrained shooting environment. Recent studies show that seam-cutting approaches can effectively relieve artifacts generated by local misalignment. Normally, seam-cutting is described in terms of energy minimization, ho...
[ { "created": "Sun, 22 Jan 2017 09:25:34 GMT", "version": "v1" } ]
2017-01-24
[ [ "Li", "Nan", "" ], [ "Liao", "Tianli", "" ], [ "Wang", "Chao", "" ] ]
Image stitching is challenging in consumer-level photography, due to alignment difficulties in unconstrained shooting environment. Recent studies show that seam-cutting approaches can effectively relieve artifacts generated by local misalignment. Normally, seam-cutting is described in terms of energy minimization, howe...
2207.01024
Yota Otachi
Tatsuya Gima, Takehiro Ito, Yasuaki Kobayashi, Yota Otachi
Algorithmic Meta-Theorems for Combinatorial Reconfiguration Revisited
25 pages, 2 figures, ESA 2022
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Given a graph and two vertex sets satisfying a certain feasibility condition, a reconfiguration problem asks whether we can reach one vertex set from the other by repeating prescribed modification steps while maintaining feasibility. In this setting, Mouawad et al. [IPEC 2014] presented an algorithmic meta-theorem fo...
[ { "created": "Sun, 3 Jul 2022 12:38:39 GMT", "version": "v1" }, { "created": "Tue, 27 Dec 2022 13:33:57 GMT", "version": "v2" } ]
2022-12-29
[ [ "Gima", "Tatsuya", "" ], [ "Ito", "Takehiro", "" ], [ "Kobayashi", "Yasuaki", "" ], [ "Otachi", "Yota", "" ] ]
Given a graph and two vertex sets satisfying a certain feasibility condition, a reconfiguration problem asks whether we can reach one vertex set from the other by repeating prescribed modification steps while maintaining feasibility. In this setting, Mouawad et al. [IPEC 2014] presented an algorithmic meta-theorem for ...
2109.05084
Christoforos Mavrogiannis
Christoforos Mavrogiannis, Krishna Balasubramanian, Sriyash Poddar, Anush Gandra, Siddhartha S. Srinivasa
Winding Through: Crowd Navigation via Topological Invariance
Final version to appear at IEEE RA-L - minor acknowledgments fix
null
null
null
cs.RO cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We focus on robot navigation in crowded environments. The challenge of predicting the motion of a crowd around a robot makes it hard to ensure human safety and comfort. Recent approaches often employ end-to-end techniques for robot control or deep architectures for high-fidelity human motion prediction. While these m...
[ { "created": "Fri, 10 Sep 2021 19:31:06 GMT", "version": "v1" }, { "created": "Thu, 28 Jul 2022 18:45:04 GMT", "version": "v2" }, { "created": "Wed, 9 Nov 2022 20:22:24 GMT", "version": "v3" }, { "created": "Tue, 22 Nov 2022 19:08:07 GMT", "version": "v4" } ]
2022-11-24
[ [ "Mavrogiannis", "Christoforos", "" ], [ "Balasubramanian", "Krishna", "" ], [ "Poddar", "Sriyash", "" ], [ "Gandra", "Anush", "" ], [ "Srinivasa", "Siddhartha S.", "" ] ]
We focus on robot navigation in crowded environments. The challenge of predicting the motion of a crowd around a robot makes it hard to ensure human safety and comfort. Recent approaches often employ end-to-end techniques for robot control or deep architectures for high-fidelity human motion prediction. While these met...
2403.12433
Rui Yang
Rui Yang, Evgenios M. Kornaropoulos, Yue Cheng
Algorithmic Complexity Attacks on Dynamic Learned Indexes
VLDB 2024
null
null
null
cs.DB cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Learned Index Structures (LIS) view a sorted index as a model that learns the data distribution, takes a data element key as input, and outputs the predicted position of the key. The original LIS can only handle lookup operations with no support for updates, rendering it impractical to use for typical workloads. To a...
[ { "created": "Tue, 19 Mar 2024 04:46:56 GMT", "version": "v1" } ]
2024-03-20
[ [ "Yang", "Rui", "" ], [ "Kornaropoulos", "Evgenios M.", "" ], [ "Cheng", "Yue", "" ] ]
Learned Index Structures (LIS) view a sorted index as a model that learns the data distribution, takes a data element key as input, and outputs the predicted position of the key. The original LIS can only handle lookup operations with no support for updates, rendering it impractical to use for typical workloads. To add...
2108.02005
Heman Shakeri
Ali Tavasoli, Teague Henry, Heman Shakeri
A purely data-driven framework for prediction, optimization, and control of networked processes: application to networked SIS epidemic model
null
null
null
null
cs.SI cs.AI cs.LG cs.SY eess.SY math.OC
http://creativecommons.org/licenses/by/4.0/
Networks are landmarks of many complex phenomena where interweaving interactions between different agents transform simple local rule-sets into nonlinear emergent behaviors. While some recent studies unveil associations between the network structure and the underlying dynamical process, identifying stochastic nonline...
[ { "created": "Sun, 1 Aug 2021 03:57:10 GMT", "version": "v1" } ]
2021-08-05
[ [ "Tavasoli", "Ali", "" ], [ "Henry", "Teague", "" ], [ "Shakeri", "Heman", "" ] ]
Networks are landmarks of many complex phenomena where interweaving interactions between different agents transform simple local rule-sets into nonlinear emergent behaviors. While some recent studies unveil associations between the network structure and the underlying dynamical process, identifying stochastic nonlinear...
2110.02482
James Bailey
James P. Bailey
$O\left(1/T\right)$ Time-Average Convergence in a Generalization of Multiagent Zero-Sum Games
null
null
null
null
cs.GT cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce a generalization of zero-sum network multiagent matrix games and prove that alternating gradient descent converges to the set of Nash equilibria at rate $O(1/T)$ for this set of games. Alternating gradient descent obtains this convergence guarantee while using fixed learning rates that are four times lar...
[ { "created": "Wed, 6 Oct 2021 03:29:21 GMT", "version": "v1" } ]
2021-10-07
[ [ "Bailey", "James P.", "" ] ]
We introduce a generalization of zero-sum network multiagent matrix games and prove that alternating gradient descent converges to the set of Nash equilibria at rate $O(1/T)$ for this set of games. Alternating gradient descent obtains this convergence guarantee while using fixed learning rates that are four times large...
0909.1608
Guangliang Chen
G. Chen and G. Lerman
Motion Segmentation by SCC on the Hopkins 155 Database
Accepted to 2009 ICCV Workshop on Dynamical Vision
Computer Vision Workshops (ICCV Workshops), 2009 IEEE 12th International Conference on, 2009, pp. 759 - 764
10.1109/ICCVW.2009.5457626
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We apply the Spectral Curvature Clustering (SCC) algorithm to a benchmark database of 155 motion sequences, and show that it outperforms all other state-of-the-art methods. The average misclassification rate by SCC is 1.41% for sequences having two motions and 4.85% for three motions.
[ { "created": "Wed, 9 Sep 2009 02:12:22 GMT", "version": "v1" } ]
2012-10-08
[ [ "Chen", "G.", "" ], [ "Lerman", "G.", "" ] ]
We apply the Spectral Curvature Clustering (SCC) algorithm to a benchmark database of 155 motion sequences, and show that it outperforms all other state-of-the-art methods. The average misclassification rate by SCC is 1.41% for sequences having two motions and 4.85% for three motions.
2212.06373
Jiang Li
Guoqing Lv, Jiang Li, Xiaoping Wang, Zhigang Zeng
InferEM: Inferring the Speaker's Intention for Empathetic Dialogue Generation
Accepted by the 45th Annual Meeting of the Cognitive Science Society (CogSci 2023)
null
null
null
cs.CL cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Current approaches to empathetic response generation typically encode the entire dialogue history directly and put the output into a decoder to generate friendly feedback. These methods focus on modelling contextual information but neglect capturing the direct intention of the speaker. We argue that the last utteranc...
[ { "created": "Tue, 13 Dec 2022 05:12:40 GMT", "version": "v1" }, { "created": "Thu, 19 Jan 2023 17:56:49 GMT", "version": "v2" }, { "created": "Tue, 28 Mar 2023 03:55:11 GMT", "version": "v3" }, { "created": "Tue, 18 Apr 2023 11:47:23 GMT", "version": "v4" }, { "c...
2023-11-28
[ [ "Lv", "Guoqing", "" ], [ "Li", "Jiang", "" ], [ "Wang", "Xiaoping", "" ], [ "Zeng", "Zhigang", "" ] ]
Current approaches to empathetic response generation typically encode the entire dialogue history directly and put the output into a decoder to generate friendly feedback. These methods focus on modelling contextual information but neglect capturing the direct intention of the speaker. We argue that the last utterance ...
2209.12678
Thom Lake
Thom Lake
Flexible Job Classification with Zero-Shot Learning
To be published in RecSys in HR'22
null
null
null
cs.CL cs.LG cs.NE
http://creativecommons.org/licenses/by/4.0/
Using a taxonomy to organize information requires classifying objects (documents, images, etc) with appropriate taxonomic classes. The flexible nature of zero-shot learning is appealing for this task because it allows classifiers to naturally adapt to taxonomy modifications. This work studies zero-shot multi-label do...
[ { "created": "Tue, 30 Aug 2022 18:18:21 GMT", "version": "v1" } ]
2022-09-27
[ [ "Lake", "Thom", "" ] ]
Using a taxonomy to organize information requires classifying objects (documents, images, etc) with appropriate taxonomic classes. The flexible nature of zero-shot learning is appealing for this task because it allows classifiers to naturally adapt to taxonomy modifications. This work studies zero-shot multi-label docu...
1910.00034
Laltu Sardar
Laltu Sardar and Sushmita Ruj
FSPVDsse: A Forward Secure Publicly Verifiable Dynamic SSE scheme
17 pages, Published in ProvSec 2019
Provable Security (2019), 355-371
10.1007/978-3-030-31919-9_23
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A symmetric searchable encryption (SSE) scheme allows a client (data owner) to search on encrypted data outsourced to an untrusted cloud server. The search may either be a single keyword search or a complex query search like conjunctive or Boolean keyword search. Information leakage is quite high for dynamic SSE, whe...
[ { "created": "Mon, 30 Sep 2019 18:04:20 GMT", "version": "v1" } ]
2019-10-02
[ [ "Sardar", "Laltu", "" ], [ "Ruj", "Sushmita", "" ] ]
A symmetric searchable encryption (SSE) scheme allows a client (data owner) to search on encrypted data outsourced to an untrusted cloud server. The search may either be a single keyword search or a complex query search like conjunctive or Boolean keyword search. Information leakage is quite high for dynamic SSE, where...
1703.01622
Marc Aubreville
Marc Aubreville, Christian Knipfer, Nicolai Oetter, Christian Jaremenko, Erik Rodner, Joachim Denzler, Christopher Bohr, Helmut Neumann, Florian Stelzle and Andreas Maier
Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning
12 pages, 5 figures
Scientific Reports 7, Article number: 11979 (2017)
10.1038/s41598-017-12320-8
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Oral Squamous Cell Carcinoma (OSCC) is a common type of cancer of the oral epithelium. Despite their high impact on mortality, sufficient screening methods for early diagnosis of OSCC often lack accuracy and thus OSCCs are mostly diagnosed at a late stage. Early detection and accurate outline estimation of OSCCs woul...
[ { "created": "Sun, 5 Mar 2017 16:48:01 GMT", "version": "v1" }, { "created": "Fri, 10 Mar 2017 10:58:24 GMT", "version": "v2" } ]
2017-09-21
[ [ "Aubreville", "Marc", "" ], [ "Knipfer", "Christian", "" ], [ "Oetter", "Nicolai", "" ], [ "Jaremenko", "Christian", "" ], [ "Rodner", "Erik", "" ], [ "Denzler", "Joachim", "" ], [ "Bohr", "Christopher", ""...
Oral Squamous Cell Carcinoma (OSCC) is a common type of cancer of the oral epithelium. Despite their high impact on mortality, sufficient screening methods for early diagnosis of OSCC often lack accuracy and thus OSCCs are mostly diagnosed at a late stage. Early detection and accurate outline estimation of OSCCs would ...
1804.00954
Thomas Vogel
Thomas Vogel (1) ((1) Humboldt-Universit\"at zu Berlin, Germany)
mRUBiS: An Exemplar for Model-Based Architectural Self-Healing and Self-Optimization
null
SEAMS'18: 13th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, May 28-29, 2018, Gothenburg, Sweden
10.1145/3194133.3194161
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Self-adaptive software systems are often structured into an adaptation engine that manages an adaptable software by operating on a runtime model that represents the architecture of the software (model-based architectural self-adaptation). Despite the popularity of such approaches, existing exemplars provide applicati...
[ { "created": "Tue, 3 Apr 2018 13:40:49 GMT", "version": "v1" } ]
2018-04-04
[ [ "Vogel", "Thomas", "", "Humboldt-Universität zu Berlin, Germany" ] ]
Self-adaptive software systems are often structured into an adaptation engine that manages an adaptable software by operating on a runtime model that represents the architecture of the software (model-based architectural self-adaptation). Despite the popularity of such approaches, existing exemplars provide application...
1905.11340
Kimon Fountoulakis
S. Das, J. Demmel, K. Fountoulakis, L. Grigori, M. W. Mahoney, S. Yang
Parallel and Communication Avoiding Least Angle Regression
21 pages, 8 figures, 3 tables
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We are interested in parallelizing the Least Angle Regression (LARS) algorithm for fitting linear regression models to high-dimensional data. We consider two parallel and communication avoiding versions of the basic LARS algorithm. The two algorithms have different asymptotic costs and practical performance. One offe...
[ { "created": "Mon, 27 May 2019 17:00:16 GMT", "version": "v1" }, { "created": "Wed, 25 Dec 2019 07:19:06 GMT", "version": "v2" }, { "created": "Sat, 12 Sep 2020 22:00:10 GMT", "version": "v3" } ]
2020-09-15
[ [ "Das", "S.", "" ], [ "Demmel", "J.", "" ], [ "Fountoulakis", "K.", "" ], [ "Grigori", "L.", "" ], [ "Mahoney", "M. W.", "" ], [ "Yang", "S.", "" ] ]
We are interested in parallelizing the Least Angle Regression (LARS) algorithm for fitting linear regression models to high-dimensional data. We consider two parallel and communication avoiding versions of the basic LARS algorithm. The two algorithms have different asymptotic costs and practical performance. One offers...
1904.09841
Cameron Musco
Cameron Musco and Christopher Musco and David P. Woodruff
Simple Heuristics Yield Provable Algorithms for Masked Low-Rank Approximation
ITCS 2021
null
null
null
cs.DS cs.LG cs.NA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In $masked\ low-rank\ approximation$, one is given $A \in \mathbb{R}^{n \times n}$ and binary mask matrix $W \in \{0,1\}^{n \times n}$. The goal is to find a rank-$k$ matrix $L$ for which: $$cost(L) = \sum_{i=1}^{n} \sum_{j = 1}^{n} W_{i,j} \cdot (A_{i,j} - L_{i,j} )^2 \leq OPT + \epsilon \|A\|_F^2 ,$$ where $OPT = \...
[ { "created": "Mon, 22 Apr 2019 13:01:07 GMT", "version": "v1" }, { "created": "Sat, 1 Feb 2020 14:55:26 GMT", "version": "v2" }, { "created": "Fri, 17 Apr 2020 17:33:07 GMT", "version": "v3" }, { "created": "Mon, 30 Nov 2020 05:32:14 GMT", "version": "v4" } ]
2020-12-01
[ [ "Musco", "Cameron", "" ], [ "Musco", "Christopher", "" ], [ "Woodruff", "David P.", "" ] ]
In $masked\ low-rank\ approximation$, one is given $A \in \mathbb{R}^{n \times n}$ and binary mask matrix $W \in \{0,1\}^{n \times n}$. The goal is to find a rank-$k$ matrix $L$ for which: $$cost(L) = \sum_{i=1}^{n} \sum_{j = 1}^{n} W_{i,j} \cdot (A_{i,j} - L_{i,j} )^2 \leq OPT + \epsilon \|A\|_F^2 ,$$ where $OPT = \mi...
2210.10865
Thomas Lew
Thomas Lew, Sumeet Singh, Mario Prats, Jeffrey Bingham, Jonathan Weisz, Benjie Holson, Xiaohan Zhang, Vikas Sindhwani, Yao Lu, Fei Xia, Peng Xu, Tingnan Zhang, Jie Tan, Montserrat Gonzalez
Robotic Table Wiping via Reinforcement Learning and Whole-body Trajectory Optimization
null
null
null
null
cs.RO cs.AI cs.LG cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a framework to enable multipurpose assistive mobile robots to autonomously wipe tables to clean spills and crumbs. This problem is challenging, as it requires planning wiping actions while reasoning over uncertain latent dynamics of crumbs and spills captured via high-dimensional visual observations. Simul...
[ { "created": "Wed, 19 Oct 2022 20:12:43 GMT", "version": "v1" } ]
2022-10-21
[ [ "Lew", "Thomas", "" ], [ "Singh", "Sumeet", "" ], [ "Prats", "Mario", "" ], [ "Bingham", "Jeffrey", "" ], [ "Weisz", "Jonathan", "" ], [ "Holson", "Benjie", "" ], [ "Zhang", "Xiaohan", "" ], [ "Sind...
We propose a framework to enable multipurpose assistive mobile robots to autonomously wipe tables to clean spills and crumbs. This problem is challenging, as it requires planning wiping actions while reasoning over uncertain latent dynamics of crumbs and spills captured via high-dimensional visual observations. Simulta...
2203.12775
Muhammad Mohtasim Sajjad
Muhammad Mohtasim Sajjad, Dhammika Jayalath, Yu-Chu Tian, and Carlos J. Bernardos
ZSM-based Management and Orchestration of 3GPP Network Slicing: An Architectural Framework and Deployment Options
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Driven by closed-loop automation, the Zero-Touch Network and Services Management (ZSM) framework offers invigorating features for the end-to-end management and orchestration of a sliced network. Although ZSM is considered a promising framework by 3GPP, there is a lack of concrete ZSM-based solutions for the 3GPP Netw...
[ { "created": "Wed, 23 Mar 2022 23:57:38 GMT", "version": "v1" } ]
2022-03-25
[ [ "Sajjad", "Muhammad Mohtasim", "" ], [ "Jayalath", "Dhammika", "" ], [ "Tian", "Yu-Chu", "" ], [ "Bernardos", "Carlos J.", "" ] ]
Driven by closed-loop automation, the Zero-Touch Network and Services Management (ZSM) framework offers invigorating features for the end-to-end management and orchestration of a sliced network. Although ZSM is considered a promising framework by 3GPP, there is a lack of concrete ZSM-based solutions for the 3GPP Networ...
2408.08087
Xingxing Yang
Huiyu Zhai, Guang Jin, Xingxing Yang, Guosheng Kang
ColorMamba: Towards High-quality NIR-to-RGB Spectral Translation with Mamba
Code is available at https://github.com/AlexYangxx/ColorMamba
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Translating NIR to the visible spectrum is challenging due to cross-domain complexities. Current models struggle to balance a broad receptive field with computational efficiency, limiting practical use. Although the Selective Structured State Space Model, especially the improved version, Mamba, excels in generative t...
[ { "created": "Thu, 15 Aug 2024 11:29:13 GMT", "version": "v1" } ]
2024-08-16
[ [ "Zhai", "Huiyu", "" ], [ "Jin", "Guang", "" ], [ "Yang", "Xingxing", "" ], [ "Kang", "Guosheng", "" ] ]
Translating NIR to the visible spectrum is challenging due to cross-domain complexities. Current models struggle to balance a broad receptive field with computational efficiency, limiting practical use. Although the Selective Structured State Space Model, especially the improved version, Mamba, excels in generative tas...
1905.12155
Matteo Dell'Amico Ph.D.
Michael Mitzenmacher and Matteo Dell'Amico
The Supermarket Model with Known and Predicted Service Times
Revision, 16 pages, 22 figures. Published at IEEE TPDS
null
10.1109/TPDS.2022.3146195
null
cs.PF cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The supermarket model refers to a system with a large number of queues, where new customers choose d queues at random and join the one with the fewest customers. This model demonstrates the power of even small amounts of choice, as compared to simply joining a queue chosen uniformly at random, for load balancing syst...
[ { "created": "Thu, 23 May 2019 15:33:45 GMT", "version": "v1" }, { "created": "Thu, 8 Oct 2020 14:44:09 GMT", "version": "v2" }, { "created": "Sat, 22 Jan 2022 14:26:00 GMT", "version": "v3" }, { "created": "Thu, 17 Feb 2022 08:30:37 GMT", "version": "v4" } ]
2022-02-18
[ [ "Mitzenmacher", "Michael", "" ], [ "Dell'Amico", "Matteo", "" ] ]
The supermarket model refers to a system with a large number of queues, where new customers choose d queues at random and join the one with the fewest customers. This model demonstrates the power of even small amounts of choice, as compared to simply joining a queue chosen uniformly at random, for load balancing system...
1703.01958
David Hallac
David Hallac, Youngsuk Park, Stephen Boyd, Jure Leskovec
Network Inference via the Time-Varying Graphical Lasso
null
null
null
null
cs.LG cs.SI math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Many important problems can be modeled as a system of interconnected entities, where each entity is recording time-dependent observations or measurements. In order to spot trends, detect anomalies, and interpret the temporal dynamics of such data, it is essential to understand the relationships between the different ...
[ { "created": "Mon, 6 Mar 2017 16:35:48 GMT", "version": "v1" }, { "created": "Sat, 10 Jun 2017 01:07:39 GMT", "version": "v2" } ]
2017-06-13
[ [ "Hallac", "David", "" ], [ "Park", "Youngsuk", "" ], [ "Boyd", "Stephen", "" ], [ "Leskovec", "Jure", "" ] ]
Many important problems can be modeled as a system of interconnected entities, where each entity is recording time-dependent observations or measurements. In order to spot trends, detect anomalies, and interpret the temporal dynamics of such data, it is essential to understand the relationships between the different en...
2403.05358
Jacopo Lenti
Jacopo Lenti, Fabrizio Silvestri, Gianmarco De Francisci Morales
Variational Inference of Parameters in Opinion Dynamics Models
null
null
null
null
cs.CY cs.LG cs.SI stat.ML
http://creativecommons.org/licenses/by/4.0/
Despite the frequent use of agent-based models (ABMs) for studying social phenomena, parameter estimation remains a challenge, often relying on costly simulation-based heuristics. This work uses variational inference to estimate the parameters of an opinion dynamics ABM, by transforming the estimation problem into an...
[ { "created": "Fri, 8 Mar 2024 14:45:18 GMT", "version": "v1" } ]
2024-03-11
[ [ "Lenti", "Jacopo", "" ], [ "Silvestri", "Fabrizio", "" ], [ "Morales", "Gianmarco De Francisci", "" ] ]
Despite the frequent use of agent-based models (ABMs) for studying social phenomena, parameter estimation remains a challenge, often relying on costly simulation-based heuristics. This work uses variational inference to estimate the parameters of an opinion dynamics ABM, by transforming the estimation problem into an o...
2104.02387
Tina Raissi
Tina Raissi, Eugen Beck, Ralf Schl\"uter, Hermann Ney
Towards Consistent Hybrid HMM Acoustic Modeling
null
null
null
null
cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
High-performance hybrid automatic speech recognition (ASR) systems are often trained with clustered triphone outputs, and thus require a complex training pipeline to generate the clustering. The same complex pipeline is often utilized in order to generate an alignment for use in frame-wise cross-entropy training. In ...
[ { "created": "Tue, 6 Apr 2021 09:24:01 GMT", "version": "v1" }, { "created": "Wed, 28 Apr 2021 07:51:36 GMT", "version": "v2" }, { "created": "Tue, 12 Oct 2021 11:52:41 GMT", "version": "v3" } ]
2021-10-13
[ [ "Raissi", "Tina", "" ], [ "Beck", "Eugen", "" ], [ "Schlüter", "Ralf", "" ], [ "Ney", "Hermann", "" ] ]
High-performance hybrid automatic speech recognition (ASR) systems are often trained with clustered triphone outputs, and thus require a complex training pipeline to generate the clustering. The same complex pipeline is often utilized in order to generate an alignment for use in frame-wise cross-entropy training. In th...
2310.09847
Xiaoming Li Dr.
Xiaoming Li, Hubert Normandin-Taillon, Chun Wang, Xiao Huang
XRMDN: An Extended Recurrent Mixture Density Network for Short-Term Probabilistic Rider Demand Forecasting with High Volatility
11 pages, 14 figures, 5 tables
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
In the realm of Mobility-on-Demand (MoD) systems, the forecasting of rider demand is a cornerstone for operational decision-making and system optimization. Traditional forecasting methodologies primarily yield point estimates, thereby neglecting the inherent uncertainty within demand projections. Moreover, MoD demand...
[ { "created": "Sun, 15 Oct 2023 14:18:42 GMT", "version": "v1" }, { "created": "Tue, 5 Mar 2024 13:49:52 GMT", "version": "v2" } ]
2024-03-06
[ [ "Li", "Xiaoming", "" ], [ "Normandin-Taillon", "Hubert", "" ], [ "Wang", "Chun", "" ], [ "Huang", "Xiao", "" ] ]
In the realm of Mobility-on-Demand (MoD) systems, the forecasting of rider demand is a cornerstone for operational decision-making and system optimization. Traditional forecasting methodologies primarily yield point estimates, thereby neglecting the inherent uncertainty within demand projections. Moreover, MoD demand l...
0809.4882
Aleksandrs Slivkins
Robert Kleinberg, Aleksandrs Slivkins and Eli Upfal
Multi-Armed Bandits in Metric Spaces
16 pages, 0 figures
null
null
null
cs.DS cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In a multi-armed bandit problem, an online algorithm chooses from a set of strategies in a sequence of trials so as to maximize the total payoff of the chosen strategies. While the performance of bandit algorithms with a small finite strategy set is quite well understood, bandit problems with large strategy sets are ...
[ { "created": "Mon, 29 Sep 2008 01:58:13 GMT", "version": "v1" } ]
2008-09-30
[ [ "Kleinberg", "Robert", "" ], [ "Slivkins", "Aleksandrs", "" ], [ "Upfal", "Eli", "" ] ]
In a multi-armed bandit problem, an online algorithm chooses from a set of strategies in a sequence of trials so as to maximize the total payoff of the chosen strategies. While the performance of bandit algorithms with a small finite strategy set is quite well understood, bandit problems with large strategy sets are st...
1706.03170
Amirhossein Tavanaei
Amirhossein Tavanaei and Anthony Maida
Bio-Inspired Multi-Layer Spiking Neural Network Extracts Discriminative Features from Speech Signals
null
Neural Information Processing. ICONIP 2017. Lecture Notes in Computer Science, vol 10639
10.1007/978-3-319-70136-3_95
null
cs.NE cs.SD
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Spiking neural networks (SNNs) enable power-efficient implementations due to their sparse, spike-based coding scheme. This paper develops a bio-inspired SNN that uses unsupervised learning to extract discriminative features from speech signals, which can subsequently be used in a classifier. The architecture consists...
[ { "created": "Sat, 10 Jun 2017 02:14:42 GMT", "version": "v1" } ]
2017-11-23
[ [ "Tavanaei", "Amirhossein", "" ], [ "Maida", "Anthony", "" ] ]
Spiking neural networks (SNNs) enable power-efficient implementations due to their sparse, spike-based coding scheme. This paper develops a bio-inspired SNN that uses unsupervised learning to extract discriminative features from speech signals, which can subsequently be used in a classifier. The architecture consists o...
1611.03019
Pascal Mainini
Pascal Mainini and Annett Laube-Rosenpflanzer
Access Control in Linked Data Using WebID
Full version of arXiv:1610.04405
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Linked Data technologies become increasingly important in many domains. Key factors for their breakthrough are security and trust, especially when sensible or personal data are involved. Classical means for access control lack granularity when parts of the Linked Data graph must be protected. The WebID, combining sem...
[ { "created": "Wed, 9 Nov 2016 17:21:35 GMT", "version": "v1" } ]
2016-11-10
[ [ "Mainini", "Pascal", "" ], [ "Laube-Rosenpflanzer", "Annett", "" ] ]
Linked Data technologies become increasingly important in many domains. Key factors for their breakthrough are security and trust, especially when sensible or personal data are involved. Classical means for access control lack granularity when parts of the Linked Data graph must be protected. The WebID, combining seman...
2404.01976
Kento Nishi
Kento Nishi, Junsik Kim, Wanhua Li, Hanspeter Pfister
Joint-Task Regularization for Partially Labeled Multi-Task Learning
Accepted paper to CVPR 2024 (main conference)
null
null
null
cs.CV cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
Multi-task learning has become increasingly popular in the machine learning field, but its practicality is hindered by the need for large, labeled datasets. Most multi-task learning methods depend on fully labeled datasets wherein each input example is accompanied by ground-truth labels for all target tasks. Unfortun...
[ { "created": "Tue, 2 Apr 2024 14:16:59 GMT", "version": "v1" } ]
2024-04-03
[ [ "Nishi", "Kento", "" ], [ "Kim", "Junsik", "" ], [ "Li", "Wanhua", "" ], [ "Pfister", "Hanspeter", "" ] ]
Multi-task learning has become increasingly popular in the machine learning field, but its practicality is hindered by the need for large, labeled datasets. Most multi-task learning methods depend on fully labeled datasets wherein each input example is accompanied by ground-truth labels for all target tasks. Unfortunat...
2110.04476
Christian Wallraven
Doo Yon Kim, Christian Wallraven
Label quality in AffectNet: results of crowd-based re-annotation
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
AffectNet is one of the most popular resources for facial expression recognition (FER) on relatively unconstrained in-the-wild images. Given that images were annotated by only one annotator with limited consistency checks on the data, however, label quality and consistency may be limited. Here, we take a similar appr...
[ { "created": "Sat, 9 Oct 2021 06:48:08 GMT", "version": "v1" } ]
2021-10-12
[ [ "Kim", "Doo Yon", "" ], [ "Wallraven", "Christian", "" ] ]
AffectNet is one of the most popular resources for facial expression recognition (FER) on relatively unconstrained in-the-wild images. Given that images were annotated by only one annotator with limited consistency checks on the data, however, label quality and consistency may be limited. Here, we take a similar approa...
2004.02757
Yuanhan Mo
Yuanhan Mo and Shuo Wang and Chengliang Dai and Rui Zhou and Zhongzhao Teng and Wenjia Bai and Yike Guo
Efficient Deep Representation Learning by Adaptive Latent Space Sampling
null
null
null
null
cs.CV cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Supervised deep learning requires a large amount of training samples with annotations (e.g. label class for classification task, pixel- or voxel-wised label map for segmentation tasks), which are expensive and time-consuming to obtain. During the training of a deep neural network, the annotated samples are fed into t...
[ { "created": "Thu, 19 Mar 2020 22:17:02 GMT", "version": "v1" }, { "created": "Sun, 12 Apr 2020 18:25:55 GMT", "version": "v2" } ]
2020-04-14
[ [ "Mo", "Yuanhan", "" ], [ "Wang", "Shuo", "" ], [ "Dai", "Chengliang", "" ], [ "Zhou", "Rui", "" ], [ "Teng", "Zhongzhao", "" ], [ "Bai", "Wenjia", "" ], [ "Guo", "Yike", "" ] ]
Supervised deep learning requires a large amount of training samples with annotations (e.g. label class for classification task, pixel- or voxel-wised label map for segmentation tasks), which are expensive and time-consuming to obtain. During the training of a deep neural network, the annotated samples are fed into the...
1011.3268
Brendan Lucier
Brendan Lucier, Renato Paes Leme
Improved Social Welfare Bounds for GSP at Equilibrium
null
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Generalized Second Price auction is the primary method by which sponsered search advertisements are sold. We study the performance of this auction under various equilibrium concepts. In particular, we demonstrate that the Bayesian Price of Anarchy is at most $2(1-1/e)^{-1} \approx 3.16$, significantly improving u...
[ { "created": "Sun, 14 Nov 2010 23:53:27 GMT", "version": "v1" } ]
2010-11-16
[ [ "Lucier", "Brendan", "" ], [ "Leme", "Renato Paes", "" ] ]
The Generalized Second Price auction is the primary method by which sponsered search advertisements are sold. We study the performance of this auction under various equilibrium concepts. In particular, we demonstrate that the Bayesian Price of Anarchy is at most $2(1-1/e)^{-1} \approx 3.16$, significantly improving upo...
2103.03759
Jean Le'Clerc Arrastia
Jean Le'Clerc Arrastia, Nick Heilenk\"otter, Daniel Otero Baguer, Lena Hauberg-Lotte, Tobias Boskamp, Sonja Hetzer, Nicole Duschner, J\"org Schaller, and Peter Maa{\ss}
Deeply supervised UNet for semantic segmentation to assist dermatopathological assessment of Basal Cell Carcinoma (BCC)
null
null
null
null
cs.LG cs.CV
http://creativecommons.org/licenses/by/4.0/
Accurate and fast assessment of resection margins is an essential part of a dermatopathologist's clinical routine. In this work, we successfully develop a deep learning method to assist the pathologists by marking critical regions that have a high probability of exhibiting pathological features in Whole Slide Images ...
[ { "created": "Fri, 5 Mar 2021 15:39:55 GMT", "version": "v1" }, { "created": "Mon, 8 Mar 2021 21:56:14 GMT", "version": "v2" } ]
2021-03-10
[ [ "Arrastia", "Jean Le'Clerc", "" ], [ "Heilenkötter", "Nick", "" ], [ "Baguer", "Daniel Otero", "" ], [ "Hauberg-Lotte", "Lena", "" ], [ "Boskamp", "Tobias", "" ], [ "Hetzer", "Sonja", "" ], [ "Duschner", "Nicol...
Accurate and fast assessment of resection margins is an essential part of a dermatopathologist's clinical routine. In this work, we successfully develop a deep learning method to assist the pathologists by marking critical regions that have a high probability of exhibiting pathological features in Whole Slide Images (W...
1701.04693
Sepehr Valipour
Sepehr Valipour, Camilo Perez, Martin Jagersand
Incremental Learning for Robot Perception through HRI
null
null
null
null
cs.RO cs.HC cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Scene understanding and object recognition is a difficult to achieve yet crucial skill for robots. Recently, Convolutional Neural Networks (CNN), have shown success in this task. However, there is still a gap between their performance on image datasets and real-world robotics scenarios. We present a novel paradigm fo...
[ { "created": "Tue, 17 Jan 2017 14:29:05 GMT", "version": "v1" } ]
2017-01-18
[ [ "Valipour", "Sepehr", "" ], [ "Perez", "Camilo", "" ], [ "Jagersand", "Martin", "" ] ]
Scene understanding and object recognition is a difficult to achieve yet crucial skill for robots. Recently, Convolutional Neural Networks (CNN), have shown success in this task. However, there is still a gap between their performance on image datasets and real-world robotics scenarios. We present a novel paradigm for ...
2003.04754
{\L}ukasz D\k{e}bowski
{\L}ukasz D\k{e}bowski
On a Class of Markov Order Estimators Based on PPM and Other Universal Codes
17 pages, no figures. We thank Boris Ryabko for pointing out to us his very relevant references, which we failed to cite in the first draft of this paper. We apologize for this unintentional omission
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We investigate a class of estimators of the Markov order for stationary ergodic processes which form a slight modification of the constructions by Merhav, Gutman, and Ziv in 1989 as well as by Ryabko, Astola, and Malyutov in 2006 and 2016. All the considered estimators compare the estimate of the entropy rate given b...
[ { "created": "Tue, 10 Mar 2020 14:14:18 GMT", "version": "v1" }, { "created": "Mon, 23 Mar 2020 09:44:14 GMT", "version": "v2" } ]
2020-03-24
[ [ "Dębowski", "Łukasz", "" ] ]
We investigate a class of estimators of the Markov order for stationary ergodic processes which form a slight modification of the constructions by Merhav, Gutman, and Ziv in 1989 as well as by Ryabko, Astola, and Malyutov in 2006 and 2016. All the considered estimators compare the estimate of the entropy rate given by ...
0704.3120
Oliver Henkel
Oliver Henkel
Space Time Codes from Permutation Codes
null
Proc. IEEE GlobeCom, San Francisco, California, Nov. 2006
null
null
cs.IT math.IT
null
A new class of space time codes with high performance is presented. The code design utilizes tailor-made permutation codes, which are known to have large minimal distances as spherical codes. A geometric connection between spherical and space time codes has been used to translate them into the final space time codes....
[ { "created": "Tue, 24 Apr 2007 05:45:30 GMT", "version": "v1" } ]
2007-07-13
[ [ "Henkel", "Oliver", "" ] ]
A new class of space time codes with high performance is presented. The code design utilizes tailor-made permutation codes, which are known to have large minimal distances as spherical codes. A geometric connection between spherical and space time codes has been used to translate them into the final space time codes. S...
2109.08068
Riadh Belkebir
Riadh Belkebir and Nizar Habash
Automatic Error Type Annotation for Arabic
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
We present ARETA, an automatic error type annotation system for Modern Standard Arabic. We design ARETA to address Arabic's morphological richness and orthographic ambiguity. We base our error taxonomy on the Arabic Learner Corpus (ALC) Error Tagset with some modifications. ARETA achieves a performance of 85.8% (micr...
[ { "created": "Thu, 16 Sep 2021 15:50:11 GMT", "version": "v1" } ]
2021-09-17
[ [ "Belkebir", "Riadh", "" ], [ "Habash", "Nizar", "" ] ]
We present ARETA, an automatic error type annotation system for Modern Standard Arabic. We design ARETA to address Arabic's morphological richness and orthographic ambiguity. We base our error taxonomy on the Arabic Learner Corpus (ALC) Error Tagset with some modifications. ARETA achieves a performance of 85.8% (micro ...
2211.07393
Isabella Degen
Isabella Degen, Zahraa S. Abdallah
Temporal patterns in insulin needs for Type 1 diabetes
Submitted and accepted for presentation as a poster at the NeurIPS22 Time series for Health workshop, https://timeseriesforhealth.github.io/
null
10.48550/arxiv.2211.07393
null
cs.LG q-bio.QM stat.ML
http://creativecommons.org/licenses/by/4.0/
Type 1 Diabetes (T1D) is a chronic condition where the body produces little or no insulin, a hormone required for the cells to use blood glucose (BG) for energy and to regulate BG levels in the body. Finding the right insulin dose and time remains a complex, challenging and as yet unsolved control task. In this study...
[ { "created": "Mon, 14 Nov 2022 14:19:50 GMT", "version": "v1" }, { "created": "Thu, 17 Nov 2022 11:09:54 GMT", "version": "v2" } ]
2022-11-18
[ [ "Degen", "Isabella", "" ], [ "Abdallah", "Zahraa S.", "" ] ]
Type 1 Diabetes (T1D) is a chronic condition where the body produces little or no insulin, a hormone required for the cells to use blood glucose (BG) for energy and to regulate BG levels in the body. Finding the right insulin dose and time remains a complex, challenging and as yet unsolved control task. In this study, ...
1802.02598
Matthew Klawonn
Matthew Klawonn and Eric Heim
Generating Triples with Adversarial Networks for Scene Graph Construction
Accepted to AAAI 2018
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Driven by successes in deep learning, computer vision research has begun to move beyond object detection and image classification to more sophisticated tasks like image captioning or visual question answering. Motivating such endeavors is the desire for models to capture not only objects present in an image, but more...
[ { "created": "Wed, 7 Feb 2018 19:12:31 GMT", "version": "v1" } ]
2018-02-09
[ [ "Klawonn", "Matthew", "" ], [ "Heim", "Eric", "" ] ]
Driven by successes in deep learning, computer vision research has begun to move beyond object detection and image classification to more sophisticated tasks like image captioning or visual question answering. Motivating such endeavors is the desire for models to capture not only objects present in an image, but more f...
2101.03652
Hao Wu
Hao Wu, Junhao Gan, Zhewei Wei, Rui Zhang
Unifying the Global and Local Approaches: An Efficient Power Iteration with Forward Push
12 pages
null
null
null
cs.DS
http://creativecommons.org/licenses/by/4.0/
Personalized PageRank (PPR) is a critical measure of the importance of a node t to a source node s in a graph. The Single-Source PPR (SSPPR) query computes the PPR's of all the nodes with respect to s on a directed graph $G$ with $n$ nodes and $m$ edges, and it is an essential operation widely used in graph applicati...
[ { "created": "Mon, 11 Jan 2021 01:05:48 GMT", "version": "v1" }, { "created": "Sun, 25 Apr 2021 00:24:08 GMT", "version": "v2" } ]
2021-04-27
[ [ "Wu", "Hao", "" ], [ "Gan", "Junhao", "" ], [ "Wei", "Zhewei", "" ], [ "Zhang", "Rui", "" ] ]
Personalized PageRank (PPR) is a critical measure of the importance of a node t to a source node s in a graph. The Single-Source PPR (SSPPR) query computes the PPR's of all the nodes with respect to s on a directed graph $G$ with $n$ nodes and $m$ edges, and it is an essential operation widely used in graph application...
2106.01737
Idan Mehalel
Yuval Filmus and Idan Mehalel
Optimal sets of questions for Twenty Questions
null
null
null
null
cs.DM math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the distributional Twenty Questions game, Bob chooses a number $x$ from $1$ to $n$ according to a distribution $\mu$, and Alice (who knows $\mu$) attempts to identify $x$ using Yes/No questions, which Bob answers truthfully. Her goal is to minimize the expected number of questions. The optimal strategy for the T...
[ { "created": "Thu, 3 Jun 2021 10:33:49 GMT", "version": "v1" }, { "created": "Tue, 19 Mar 2024 13:01:12 GMT", "version": "v2" } ]
2024-03-20
[ [ "Filmus", "Yuval", "" ], [ "Mehalel", "Idan", "" ] ]
In the distributional Twenty Questions game, Bob chooses a number $x$ from $1$ to $n$ according to a distribution $\mu$, and Alice (who knows $\mu$) attempts to identify $x$ using Yes/No questions, which Bob answers truthfully. Her goal is to minimize the expected number of questions. The optimal strategy for the Twent...
1708.06334
S\'ergio Matos
Carlos Viana-Ferreira, Ant\'onio Guerra, Jo\~ao F. Silva, S\'ergio Matos, Carlos Costa
An Intelligent Cloud Storage Gateway for Medical Imaging
Preprint to be published in Journal of Medical Systems. 8 pages, 5 figures
null
null
null
cs.DC
http://creativecommons.org/licenses/by/4.0/
Historically, medical imaging repositories have been supported by indoor infrastructures. However, the amount of diagnostic imaging procedures has continuously increased over the last decades, imposing several challenges associated with the storage volume, data redundancy and availability. Cloud platforms are focused...
[ { "created": "Thu, 27 Jul 2017 11:10:44 GMT", "version": "v1" } ]
2017-08-22
[ [ "Viana-Ferreira", "Carlos", "" ], [ "Guerra", "António", "" ], [ "Silva", "João F.", "" ], [ "Matos", "Sérgio", "" ], [ "Costa", "Carlos", "" ] ]
Historically, medical imaging repositories have been supported by indoor infrastructures. However, the amount of diagnostic imaging procedures has continuously increased over the last decades, imposing several challenges associated with the storage volume, data redundancy and availability. Cloud platforms are focused o...
2403.10923
David Rundel
David Rundel, Julius Kobialka, Constantin von Crailsheim, Matthias Feurer, Thomas Nagler, David R\"ugamer
Interpretable Machine Learning for TabPFN
This preprint has not undergone peer review or any post-submission improvements or corrections. The Version of Record of this contribution is published in Explainable Artificial Intelligence, and is available online at https://doi.org/10.1007/978-3-031-63797-1_23
null
10.1007/978-3-031-63797-1_23
null
cs.LG cs.AI stat.CO stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The recently developed Prior-Data Fitted Networks (PFNs) have shown very promising results for applications in low-data regimes. The TabPFN model, a special case of PFNs for tabular data, is able to achieve state-of-the-art performance on a variety of classification tasks while producing posterior predictive distribu...
[ { "created": "Sat, 16 Mar 2024 13:35:15 GMT", "version": "v1" }, { "created": "Tue, 23 Jul 2024 16:10:52 GMT", "version": "v2" } ]
2024-07-24
[ [ "Rundel", "David", "" ], [ "Kobialka", "Julius", "" ], [ "von Crailsheim", "Constantin", "" ], [ "Feurer", "Matthias", "" ], [ "Nagler", "Thomas", "" ], [ "Rügamer", "David", "" ] ]
The recently developed Prior-Data Fitted Networks (PFNs) have shown very promising results for applications in low-data regimes. The TabPFN model, a special case of PFNs for tabular data, is able to achieve state-of-the-art performance on a variety of classification tasks while producing posterior predictive distributi...
2304.12376
Yaroslav Golubev
Anastasiia Birillo, Elizaveta Artser, Yaroslav Golubev, Maria Tigina, Hieke Keuning, Nikolay Vyahhi, Timofey Bryksin
Detecting Code Quality Issues in Pre-written Templates of Programming Tasks in Online Courses
Accepted to ITiCSE'23, 7 pages, 3 figures
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work, we developed an algorithm for detecting code quality issues in the templates of online programming tasks, validated it, and conducted an empirical study on the dataset of student solutions. The algorithm consists of analyzing recurring unfixed issues in solutions of different students, matching them wit...
[ { "created": "Mon, 24 Apr 2023 18:13:27 GMT", "version": "v1" } ]
2023-04-26
[ [ "Birillo", "Anastasiia", "" ], [ "Artser", "Elizaveta", "" ], [ "Golubev", "Yaroslav", "" ], [ "Tigina", "Maria", "" ], [ "Keuning", "Hieke", "" ], [ "Vyahhi", "Nikolay", "" ], [ "Bryksin", "Timofey", "" ...
In this work, we developed an algorithm for detecting code quality issues in the templates of online programming tasks, validated it, and conducted an empirical study on the dataset of student solutions. The algorithm consists of analyzing recurring unfixed issues in solutions of different students, matching them with ...
2004.00094
Bram Renting
Bram M. Renting (1), Holger H. Hoos (2), Catholijn M. Jonker (1 and 2) ((1) Delft University of Technology, (2) Leiden University)
Automated Configuration of Negotiation Strategies
Appears in Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020)
http://ifaamas.org/Proceedings/aamas2020/pdfs/p1116.pdf
null
null
cs.MA cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Bidding and acceptance strategies have a substantial impact on the outcome of negotiations in scenarios with linear additive and nonlinear utility functions. Over the years, it has become clear that there is no single best strategy for all negotiation settings, yet many fixed strategies are still being developed. We ...
[ { "created": "Tue, 31 Mar 2020 20:31:33 GMT", "version": "v1" } ]
2020-09-15
[ [ "Renting", "Bram M.", "", "Delft University of Technology" ], [ "Hoos", "Holger H.", "", "Leiden University" ], [ "Jonker", "Catholijn M.", "", "1 and 2" ] ]
Bidding and acceptance strategies have a substantial impact on the outcome of negotiations in scenarios with linear additive and nonlinear utility functions. Over the years, it has become clear that there is no single best strategy for all negotiation settings, yet many fixed strategies are still being developed. We en...
1807.04073
Weiping Zheng
Weiping Zheng, Zhenyao Mo, Jiantao Yi
A punishment voting algorithm based on super categories construction for acoustic scene classification
There is a minor mistake found in the voting process. So, We are very sorry about this mistake and request to withdraw this manuscript
null
null
null
cs.SD cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In acoustic scene classification researches, audio segment is usually split into multiple samples. Majority voting is then utilized to ensemble the results of the samples. In this paper, we propose a punishment voting algorithm based on the super categories construction method for acoustic scene classification. Speci...
[ { "created": "Wed, 11 Jul 2018 11:14:19 GMT", "version": "v1" }, { "created": "Tue, 30 Mar 2021 05:14:42 GMT", "version": "v2" } ]
2021-03-31
[ [ "Zheng", "Weiping", "" ], [ "Mo", "Zhenyao", "" ], [ "Yi", "Jiantao", "" ] ]
In acoustic scene classification researches, audio segment is usually split into multiple samples. Majority voting is then utilized to ensemble the results of the samples. In this paper, we propose a punishment voting algorithm based on the super categories construction method for acoustic scene classification. Specifi...
2009.13294
Rohit Rawat
Rohit Rawat
Virtual Proximity Citation (VCP): A Supervised Deep Learning Method to Relate Uncited Papers On Grounds of Citation Proximity
null
null
null
null
cs.DL cs.IR cs.LG
http://creativecommons.org/publicdomain/zero/1.0/
Citation based approaches have seen good progress for recommending research papers using citations in the paper. Citation proximity analysis which uses the in-text citation proximity to find relatedness between two research papers is better than co-citation analysis and bibliographic analysis. However, one common pro...
[ { "created": "Fri, 25 Sep 2020 12:24:00 GMT", "version": "v1" } ]
2020-09-29
[ [ "Rawat", "Rohit", "" ] ]
Citation based approaches have seen good progress for recommending research papers using citations in the paper. Citation proximity analysis which uses the in-text citation proximity to find relatedness between two research papers is better than co-citation analysis and bibliographic analysis. However, one common probl...
2205.04899
Denis Avrilionis
Denis Avrilionis, Thomas Hardjono
From Trade-only to Zero-Value NFTs: The Asset Proxy NFT Paradigm in Web3
15 pages, 2 figures
null
null
null
cs.SE cs.CR
http://creativecommons.org/licenses/by-nc-nd/4.0/
Many implementations of smart contracts available in NFT marketplaces today allow the modification of NFT token attributes, without any specific mechanism to control the consistency with off-chain metadata. We believe this is a weakness in overall design of NFTs today. We propose a computation model called the Asset ...
[ { "created": "Fri, 6 May 2022 18:02:18 GMT", "version": "v1" }, { "created": "Wed, 11 May 2022 03:43:10 GMT", "version": "v2" } ]
2022-05-12
[ [ "Avrilionis", "Denis", "" ], [ "Hardjono", "Thomas", "" ] ]
Many implementations of smart contracts available in NFT marketplaces today allow the modification of NFT token attributes, without any specific mechanism to control the consistency with off-chain metadata. We believe this is a weakness in overall design of NFTs today. We propose a computation model called the Asset Pr...
2106.10056
Wensheng Xia
Wensheng Xia, Ying Li, Lan Zhang, Zhonghai Wu, Xiaoyong Yuan
A Vertical Federated Learning Framework for Horizontally Partitioned Labels
10 pages, 6 figures
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Vertical federated learning is a collaborative machine learning framework to train deep leaning models on vertically partitioned data with privacy-preservation. It attracts much attention both from academia and industry. Unfortunately, applying most existing vertical federated learning methods in real-world applicati...
[ { "created": "Fri, 18 Jun 2021 11:10:11 GMT", "version": "v1" } ]
2021-06-21
[ [ "Xia", "Wensheng", "" ], [ "Li", "Ying", "" ], [ "Zhang", "Lan", "" ], [ "Wu", "Zhonghai", "" ], [ "Yuan", "Xiaoyong", "" ] ]
Vertical federated learning is a collaborative machine learning framework to train deep leaning models on vertically partitioned data with privacy-preservation. It attracts much attention both from academia and industry. Unfortunately, applying most existing vertical federated learning methods in real-world application...
2408.08273
John O'Connor
John O'Connor
ESCape the ClassRoom
null
null
null
null
cs.HC
http://creativecommons.org/licenses/by-nc-sa/4.0/
Educational Escape Rooms (EER's), through their use of immersive storytelling and practical application of abstract concepts, present a novel new technique for engaging learners in a variety of subjects. However, there is a significant time and materials investment required to build new physical Escape Rooms, and pri...
[ { "created": "Thu, 15 Aug 2024 17:18:33 GMT", "version": "v1" } ]
2024-08-16
[ [ "O'Connor", "John", "" ] ]
Educational Escape Rooms (EER's), through their use of immersive storytelling and practical application of abstract concepts, present a novel new technique for engaging learners in a variety of subjects. However, there is a significant time and materials investment required to build new physical Escape Rooms, and prior...
1112.2930
Zachary Friggstad
Zachary Friggstad
Multiple Traveling Salesmen in Asymmetric Metrics
19 Pages, 3 Figures. First revision fixes a broken reference and adds to the discussion for General 2-ATSPP
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider some generalizations of the Asymmetric Traveling Salesman Path problem. Suppose we have an asymmetric metric G = (V,A) with two distinguished nodes s,t. We are also given a positive integer k. The goal is to find k paths of minimum total cost from s to t whose union spans all nodes. We call this the k-Per...
[ { "created": "Tue, 13 Dec 2011 15:59:58 GMT", "version": "v1" }, { "created": "Wed, 14 Dec 2011 14:35:31 GMT", "version": "v2" } ]
2011-12-15
[ [ "Friggstad", "Zachary", "" ] ]
We consider some generalizations of the Asymmetric Traveling Salesman Path problem. Suppose we have an asymmetric metric G = (V,A) with two distinguished nodes s,t. We are also given a positive integer k. The goal is to find k paths of minimum total cost from s to t whose union spans all nodes. We call this the k-Perso...
cs/0611142
Mounira Kourjieh
Yannick Chevalier (IRIT), Mounira Kourjieh (IRIT)
A Symbolic Intruder Model for Hash-Collision Attacks
null
CSTVA'06, France (25/09/2006)
null
null
cs.CR
null
In the recent years, several practical methods have been published to compute collisions on some commonly used hash functions. In this paper we present a method to take into account, at the symbolic level, that an intruder actively attacking a protocol execution may use these collision algorithms in reasonable time d...
[ { "created": "Tue, 28 Nov 2006 14:09:53 GMT", "version": "v1" } ]
2007-05-23
[ [ "Chevalier", "Yannick", "", "IRIT" ], [ "Kourjieh", "Mounira", "", "IRIT" ] ]
In the recent years, several practical methods have been published to compute collisions on some commonly used hash functions. In this paper we present a method to take into account, at the symbolic level, that an intruder actively attacking a protocol execution may use these collision algorithms in reasonable time dur...
2208.11910
Jinhong Kim
Jinhong Kim, Yongjun Ahn, and Byonghyo Shim
Massive Data Generation for Deep Learning-aided Wireless Systems Using Meta Learning and Generative Adversarial Network
null
null
10.1109/TVT.2022.3204835
null
cs.IT math.IT
http://creativecommons.org/licenses/by-nc-nd/4.0/
As an entirely-new paradigm to design the communication systems, deep learning (DL), an approach that the machine learns the desired wireless function, has received much attention recently. In order to fully realize the benefit of DL-aided wireless system, we need to collect a large number of training samples. Unfort...
[ { "created": "Thu, 25 Aug 2022 07:45:31 GMT", "version": "v1" } ]
2024-05-14
[ [ "Kim", "Jinhong", "" ], [ "Ahn", "Yongjun", "" ], [ "Shim", "Byonghyo", "" ] ]
As an entirely-new paradigm to design the communication systems, deep learning (DL), an approach that the machine learns the desired wireless function, has received much attention recently. In order to fully realize the benefit of DL-aided wireless system, we need to collect a large number of training samples. Unfortun...
2107.11862
Jan Brabec
Jan Brabec, Lukas Machlica
Decision-forest voting scheme for classification of rare classes in network intrusion detection
\copyright 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to serv...
2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2018, pp. 3325-3330
10.1109/SMC.2018.00563
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, Bayesian based aggregation of decision trees in an ensemble (decision forest) is investigated. The focus is laid on multi-class classification with number of samples significantly skewed toward one of the classes. The algorithm leverages out-of-bag datasets to estimate prediction errors of individual t...
[ { "created": "Sun, 25 Jul 2021 18:01:12 GMT", "version": "v1" } ]
2021-07-27
[ [ "Brabec", "Jan", "" ], [ "Machlica", "Lukas", "" ] ]
In this paper, Bayesian based aggregation of decision trees in an ensemble (decision forest) is investigated. The focus is laid on multi-class classification with number of samples significantly skewed toward one of the classes. The algorithm leverages out-of-bag datasets to estimate prediction errors of individual tre...
2309.14094
Yao Shi
Yao Shi, Ming Li
VoiceLens: Controllable Speaker Generation and Editing with Flow
null
null
null
null
cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Currently, many multi-speaker speech synthesis and voice conversion systems address speaker variations with an embedding vector. Modeling it directly allows new voices outside of training data to be synthesized. GMM based approaches such as Tacospawn are favored in literature for this generation task, but there are s...
[ { "created": "Mon, 25 Sep 2023 12:37:03 GMT", "version": "v1" } ]
2023-09-26
[ [ "Shi", "Yao", "" ], [ "Li", "Ming", "" ] ]
Currently, many multi-speaker speech synthesis and voice conversion systems address speaker variations with an embedding vector. Modeling it directly allows new voices outside of training data to be synthesized. GMM based approaches such as Tacospawn are favored in literature for this generation task, but there are sti...
1107.0607
Achaleshwar Sahai
Achaleshwar Sahai, Gaurav Patel, Ashutosh Sabharwal
Pushing the limits of Full-duplex: Design and Real-time Implementation
12 page Rice University technical report
null
null
TREE1104
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent work has shown the feasibility of single-channel full-duplex wireless physical layer, allowing nodes to send and receive in the same frequency band at the same time. In this report, we first design and implement a real-time 64-subcarrier 10 MHz full-duplex OFDM physical layer, FD-PHY. The proposed FD-PHY not o...
[ { "created": "Mon, 4 Jul 2011 12:35:50 GMT", "version": "v1" } ]
2011-07-05
[ [ "Sahai", "Achaleshwar", "" ], [ "Patel", "Gaurav", "" ], [ "Sabharwal", "Ashutosh", "" ] ]
Recent work has shown the feasibility of single-channel full-duplex wireless physical layer, allowing nodes to send and receive in the same frequency band at the same time. In this report, we first design and implement a real-time 64-subcarrier 10 MHz full-duplex OFDM physical layer, FD-PHY. The proposed FD-PHY not onl...
2211.14177
Giang Nguyen
Giang Nguyen
Overcoming Catastrophic Forgetting by XAI
Master of Science Thesis at KAIST; 24 pages; Keywords: continual learning, catastrophic forgetting, XAI, attribution map, interpretability
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Explaining the behaviors of deep neural networks, usually considered as black boxes, is critical especially when they are now being adopted over diverse aspects of human life. Taking the advantages of interpretable machine learning (interpretable ML), this work proposes a novel tool called Catastrophic Forgetting Dis...
[ { "created": "Fri, 25 Nov 2022 15:32:07 GMT", "version": "v1" } ]
2022-11-28
[ [ "Nguyen", "Giang", "" ] ]
Explaining the behaviors of deep neural networks, usually considered as black boxes, is critical especially when they are now being adopted over diverse aspects of human life. Taking the advantages of interpretable machine learning (interpretable ML), this work proposes a novel tool called Catastrophic Forgetting Disse...