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1309.0277
Antonis Sidiropoulos
Antonis Sidiropoulos, Dimitrios Katsaros, Yannis Manolopoulos
Categorizing Influential Authors Using Penalty Areas
null
null
null
null
cs.DL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The concept of h-index has been proposed to easily assess a researcher's performance with a single two-dimensional number. However, by using only this single number, we lose significant information about the distribution of the number of citations per article of an author's publication list. Two authors with the same...
[ { "created": "Sun, 1 Sep 2013 23:35:52 GMT", "version": "v1" } ]
2013-09-03
[ [ "Sidiropoulos", "Antonis", "" ], [ "Katsaros", "Dimitrios", "" ], [ "Manolopoulos", "Yannis", "" ] ]
The concept of h-index has been proposed to easily assess a researcher's performance with a single two-dimensional number. However, by using only this single number, we lose significant information about the distribution of the number of citations per article of an author's publication list. Two authors with the same h...
1703.00080
Md Farhadur Rahman
Md Farhadur Rahman, Abolfazl Asudeh, Nick Koudas, Gautam Das
Efficient Computation of Subspace Skyline over Categorical Domains
null
null
null
null
cs.DB
http://creativecommons.org/licenses/by/4.0/
Platforms such as AirBnB, Zillow, Yelp, and related sites have transformed the way we search for accommodation, restaurants, etc. The underlying datasets in such applications have numerous attributes that are mostly Boolean or Categorical. Discovering the skyline of such datasets over a subset of attributes would ide...
[ { "created": "Tue, 28 Feb 2017 22:37:27 GMT", "version": "v1" }, { "created": "Fri, 3 Mar 2017 22:01:13 GMT", "version": "v2" }, { "created": "Tue, 30 May 2017 09:18:24 GMT", "version": "v3" } ]
2017-05-31
[ [ "Rahman", "Md Farhadur", "" ], [ "Asudeh", "Abolfazl", "" ], [ "Koudas", "Nick", "" ], [ "Das", "Gautam", "" ] ]
Platforms such as AirBnB, Zillow, Yelp, and related sites have transformed the way we search for accommodation, restaurants, etc. The underlying datasets in such applications have numerous attributes that are mostly Boolean or Categorical. Discovering the skyline of such datasets over a subset of attributes would ident...
2306.09346
Yossi Gandelsman
Amil Dravid, Yossi Gandelsman, Alexei A. Efros, Assaf Shocher
Rosetta Neurons: Mining the Common Units in a Model Zoo
Project page: https://yossigandelsman.github.io/rosetta_neurons/
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Do different neural networks, trained for various vision tasks, share some common representations? In this paper, we demonstrate the existence of common features we call "Rosetta Neurons" across a range of models with different architectures, different tasks (generative and discriminative), and different types of sup...
[ { "created": "Thu, 15 Jun 2023 17:59:54 GMT", "version": "v1" }, { "created": "Fri, 16 Jun 2023 04:36:31 GMT", "version": "v2" } ]
2023-06-19
[ [ "Dravid", "Amil", "" ], [ "Gandelsman", "Yossi", "" ], [ "Efros", "Alexei A.", "" ], [ "Shocher", "Assaf", "" ] ]
Do different neural networks, trained for various vision tasks, share some common representations? In this paper, we demonstrate the existence of common features we call "Rosetta Neurons" across a range of models with different architectures, different tasks (generative and discriminative), and different types of super...
1709.08432
Lai Wei
Xiaochen Chen, Lai Wei, Jiaxin Xu
House Price Prediction Using LSTM
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we use the house price data ranging from January 2004 to October 2016 to predict the average house price of November and December in 2016 for each district in Beijing, Shanghai, Guangzhou and Shenzhen. We apply Autoregressive Integrated Moving Average model to generate the baseline while LSTM networks ...
[ { "created": "Mon, 25 Sep 2017 11:31:50 GMT", "version": "v1" } ]
2017-09-26
[ [ "Chen", "Xiaochen", "" ], [ "Wei", "Lai", "" ], [ "Xu", "Jiaxin", "" ] ]
In this paper, we use the house price data ranging from January 2004 to October 2016 to predict the average house price of November and December in 2016 for each district in Beijing, Shanghai, Guangzhou and Shenzhen. We apply Autoregressive Integrated Moving Average model to generate the baseline while LSTM networks to...
2306.09171
Bernadetta Bartosik
Bernadetta Bartosik, Grzegorz M. Wojcik, Andrzej Kawiak, Aneta Brzezicka
How are the people in the photos judged? Analysis of brain activity when assessing levels of trust and attractiveness
null
null
null
null
cs.HC cs.LG
http://creativecommons.org/licenses/by/4.0/
Trust is the foundation of every area of life. Without it, it is difficult to build lasting relationships. Unfortunately, in recent years, trust has been severely damaged by the spread of fake news and disinformation, which has become a serious social problem. In addition to trust, the factor influencing interpersona...
[ { "created": "Thu, 15 Jun 2023 14:49:54 GMT", "version": "v1" } ]
2023-06-16
[ [ "Bartosik", "Bernadetta", "" ], [ "Wojcik", "Grzegorz M.", "" ], [ "Kawiak", "Andrzej", "" ], [ "Brzezicka", "Aneta", "" ] ]
Trust is the foundation of every area of life. Without it, it is difficult to build lasting relationships. Unfortunately, in recent years, trust has been severely damaged by the spread of fake news and disinformation, which has become a serious social problem. In addition to trust, the factor influencing interpersonal ...
2108.00566
Binayak Tiwari
Binayak Tiwari, Mei Yang, Yingtao Jiang, Xiaohang Wang
Efficient On-Chip Multicast Routing based on Dynamic Partition Merging
Presented at 28th Euromicro International Conference on Parallel, Distributed and Network-based Preocessing
null
null
null
cs.NI cs.AR cs.DC
http://creativecommons.org/licenses/by/4.0/
Networks-on-chips (NoCs) have become the mainstream communication infrastructure for chip multiprocessors (CMPs) and many-core systems. The commonly used parallel applications and emerging machine learning-based applications involve a significant amount of collective communication patterns. In CMP applications, multi...
[ { "created": "Sun, 1 Aug 2021 23:40:57 GMT", "version": "v1" } ]
2021-08-03
[ [ "Tiwari", "Binayak", "" ], [ "Yang", "Mei", "" ], [ "Jiang", "Yingtao", "" ], [ "Wang", "Xiaohang", "" ] ]
Networks-on-chips (NoCs) have become the mainstream communication infrastructure for chip multiprocessors (CMPs) and many-core systems. The commonly used parallel applications and emerging machine learning-based applications involve a significant amount of collective communication patterns. In CMP applications, multica...
2407.15894
Jingchen Sun
Jingchen Sun, Rohan Sharma, Vishnu Suresh Lokhande, Changyou Chen
Craft: Cross-modal Aligned Features Improve Robustness of Prompt Tuning
15pages
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
Prompt Tuning has emerged as a prominent research paradigm for adapting vision-language models to various downstream tasks. However, recent research indicates that prompt tuning methods often lead to overfitting due to limited training samples. In this paper, we propose a Cross-modal Aligned Feature Tuning (Craft) me...
[ { "created": "Mon, 22 Jul 2024 03:51:16 GMT", "version": "v1" }, { "created": "Wed, 24 Jul 2024 02:16:11 GMT", "version": "v2" } ]
2024-07-26
[ [ "Sun", "Jingchen", "" ], [ "Sharma", "Rohan", "" ], [ "Lokhande", "Vishnu Suresh", "" ], [ "Chen", "Changyou", "" ] ]
Prompt Tuning has emerged as a prominent research paradigm for adapting vision-language models to various downstream tasks. However, recent research indicates that prompt tuning methods often lead to overfitting due to limited training samples. In this paper, we propose a Cross-modal Aligned Feature Tuning (Craft) meth...
2107.07921
Alessandro Marino
Martina Lippi and Alessandro Marino
Safety in human-multi robot collaborative scenarios: a trajectory scaling approach
Link to the paper: https://www.sciencedirect.com/science/article/pii/S2405896318332464
IFAC-PapersOnLine, Volume 51, Issue 22, Pages 190-196, 2018
10.1016/j.ifacol.2018.11.540
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, a strategy to handle the human safety in a multi-robot scenario is devised. In the presented framework, it is foreseen that robots are in charge of performing any cooperative manipulation task which is parameterized by a proper task function. The devised architecture answers to the increasing demand of...
[ { "created": "Fri, 16 Jul 2021 14:22:01 GMT", "version": "v1" } ]
2021-07-19
[ [ "Lippi", "Martina", "" ], [ "Marino", "Alessandro", "" ] ]
In this paper, a strategy to handle the human safety in a multi-robot scenario is devised. In the presented framework, it is foreseen that robots are in charge of performing any cooperative manipulation task which is parameterized by a proper task function. The devised architecture answers to the increasing demand of s...
2404.18940
Johannes Hirth
Claude Draude, Dominik D\"urrschnabel, Johannes Hirth, Viktoria Horn, Jonathan Kropf, J\"orn Lamla, Gerd Stumme, Markus Uhlmann
Conceptual Mapping of Controversies
null
null
null
null
cs.SI cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With our work, we contribute towards a qualitative analysis of the discourse on controversies in online news media. For this, we employ Formal Concept Analysis and the economics of conventions to derive conceptual controversy maps. In our experiments, we analyze two maps from different news journals with methods from...
[ { "created": "Thu, 25 Apr 2024 13:57:53 GMT", "version": "v1" } ]
2024-05-01
[ [ "Draude", "Claude", "" ], [ "Dürrschnabel", "Dominik", "" ], [ "Hirth", "Johannes", "" ], [ "Horn", "Viktoria", "" ], [ "Kropf", "Jonathan", "" ], [ "Lamla", "Jörn", "" ], [ "Stumme", "Gerd", "" ], [ ...
With our work, we contribute towards a qualitative analysis of the discourse on controversies in online news media. For this, we employ Formal Concept Analysis and the economics of conventions to derive conceptual controversy maps. In our experiments, we analyze two maps from different news journals with methods from o...
2402.02564
Danit Yshaayahu Levi
Danit Yshaayahu Levi and Reut Tsarfaty
A Truly Joint Neural Architecture for Segmentation and Parsing
null
null
null
null
cs.CL cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
Contemporary multilingual dependency parsers can parse a diverse set of languages, but for Morphologically Rich Languages (MRLs), performance is attested to be lower than other languages. The key challenge is that, due to high morphological complexity and ambiguity of the space-delimited input tokens, the linguistic ...
[ { "created": "Sun, 4 Feb 2024 16:56:08 GMT", "version": "v1" }, { "created": "Sat, 2 Mar 2024 16:33:32 GMT", "version": "v2" } ]
2024-03-05
[ [ "Levi", "Danit Yshaayahu", "" ], [ "Tsarfaty", "Reut", "" ] ]
Contemporary multilingual dependency parsers can parse a diverse set of languages, but for Morphologically Rich Languages (MRLs), performance is attested to be lower than other languages. The key challenge is that, due to high morphological complexity and ambiguity of the space-delimited input tokens, the linguistic un...
1808.06645
George Adam
George A. Adam, Petr Smirnov, David Duvenaud, Benjamin Haibe-Kains, Anna Goldenberg
Stochastic Combinatorial Ensembles for Defending Against Adversarial Examples
null
null
null
null
cs.LG cs.CR stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Many deep learning algorithms can be easily fooled with simple adversarial examples. To address the limitations of existing defenses, we devised a probabilistic framework that can generate an exponentially large ensemble of models from a single model with just a linear cost. This framework takes advantage of neural n...
[ { "created": "Mon, 20 Aug 2018 18:39:04 GMT", "version": "v1" }, { "created": "Sat, 8 Sep 2018 16:12:53 GMT", "version": "v2" } ]
2018-09-11
[ [ "Adam", "George A.", "" ], [ "Smirnov", "Petr", "" ], [ "Duvenaud", "David", "" ], [ "Haibe-Kains", "Benjamin", "" ], [ "Goldenberg", "Anna", "" ] ]
Many deep learning algorithms can be easily fooled with simple adversarial examples. To address the limitations of existing defenses, we devised a probabilistic framework that can generate an exponentially large ensemble of models from a single model with just a linear cost. This framework takes advantage of neural net...
1906.11485
Moritz Schubotz
Andre Greiner-Petter, Moritz Schubotz, Howard S. Cohl and Bela Gipp
Semantic Preserving Bijective Mappings for Expressions involving Special Functions in Computer Algebra Systems and Document Preparation Systems
This work was supported by the German Research Foundation (DFG, grant GI-1259-1)
null
10.1108/AJIM-08-2018-0185
null
cs.DL cs.SC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Purpose: Modern mathematicians and scientists of math-related disciplines often use Document Preparation Systems (DPS) to write and Computer Algebra Systems (CAS) to calculate mathematical expressions. Usually, they translate the expressions manually between DPS and CAS. This process is time-consuming and error-prone...
[ { "created": "Thu, 27 Jun 2019 08:08:09 GMT", "version": "v1" } ]
2019-06-28
[ [ "Greiner-Petter", "Andre", "" ], [ "Schubotz", "Moritz", "" ], [ "Cohl", "Howard S.", "" ], [ "Gipp", "Bela", "" ] ]
Purpose: Modern mathematicians and scientists of math-related disciplines often use Document Preparation Systems (DPS) to write and Computer Algebra Systems (CAS) to calculate mathematical expressions. Usually, they translate the expressions manually between DPS and CAS. This process is time-consuming and error-prone. ...
1709.05576
Manolis Peponakis
Anna Mastora, Manolis Peponakis, Sarantos Kapidakis
SKOS Concepts and Natural Language Concepts: an Analysis of Latent Relationships in KOSs
18 pages, 5 tables
Journal of Information Science, 43(4), 492-508 (2017)
10.1177/0165551516648108
null
cs.DL cs.AI cs.CL
http://creativecommons.org/licenses/by-nc-sa/4.0/
The vehicle to represent Knowledge Organization Systems (KOSs) in the environment of the Semantic Web and linked data is the Simple Knowledge Organization System (SKOS). SKOS provides a way to assign a URI to each concept, and this URI functions as a surrogate for the concept. This fact makes of main concern the need...
[ { "created": "Sat, 16 Sep 2017 22:58:13 GMT", "version": "v1" } ]
2020-01-16
[ [ "Mastora", "Anna", "" ], [ "Peponakis", "Manolis", "" ], [ "Kapidakis", "Sarantos", "" ] ]
The vehicle to represent Knowledge Organization Systems (KOSs) in the environment of the Semantic Web and linked data is the Simple Knowledge Organization System (SKOS). SKOS provides a way to assign a URI to each concept, and this URI functions as a surrogate for the concept. This fact makes of main concern the need t...
2201.09745
Haoyu Dong
Haoyu Dong, Zhoujun Cheng, Xinyi He, Mengyu Zhou, Anda Zhou, Fan Zhou, Ao Liu, Shi Han, Dongmei Zhang
Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks
Accepted by IJCAI'2022 survey track
null
null
null
cs.CL cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Since a vast number of tables can be easily collected from web pages, spreadsheets, PDFs, and various other document types, a flurry of table pre-training frameworks have been proposed following the success of text and images, and they have achieved new state-of-the-arts on various tasks such as table question answer...
[ { "created": "Mon, 24 Jan 2022 15:22:24 GMT", "version": "v1" }, { "created": "Thu, 27 Jan 2022 03:41:50 GMT", "version": "v2" }, { "created": "Tue, 19 Apr 2022 08:51:04 GMT", "version": "v3" }, { "created": "Fri, 29 Apr 2022 13:19:56 GMT", "version": "v4" } ]
2022-05-02
[ [ "Dong", "Haoyu", "" ], [ "Cheng", "Zhoujun", "" ], [ "He", "Xinyi", "" ], [ "Zhou", "Mengyu", "" ], [ "Zhou", "Anda", "" ], [ "Zhou", "Fan", "" ], [ "Liu", "Ao", "" ], [ "Han", "Shi", "" ]...
Since a vast number of tables can be easily collected from web pages, spreadsheets, PDFs, and various other document types, a flurry of table pre-training frameworks have been proposed following the success of text and images, and they have achieved new state-of-the-arts on various tasks such as table question answerin...
1910.13993
Litu Rout
Litu Rout
Is Supervised Learning With Adversarial Features Provably Better Than Sole Supervision?
null
null
null
null
cs.LG cs.CV stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Generative Adversarial Networks (GAN) have shown promising results on a wide variety of complex tasks. Recent experiments show adversarial training provides useful gradients to the generator that helps attain better performance. In this paper, we intend to theoretically analyze whether supervised learning with advers...
[ { "created": "Wed, 30 Oct 2019 17:20:45 GMT", "version": "v1" }, { "created": "Mon, 20 Apr 2020 14:42:18 GMT", "version": "v2" } ]
2020-04-21
[ [ "Rout", "Litu", "" ] ]
Generative Adversarial Networks (GAN) have shown promising results on a wide variety of complex tasks. Recent experiments show adversarial training provides useful gradients to the generator that helps attain better performance. In this paper, we intend to theoretically analyze whether supervised learning with adversar...
2202.00531
Bo Liu
Daoming Lyu, Bo Liu, and Jianshu Chen
PRIMA: Planner-Reasoner Inside a Multi-task Reasoning Agent
null
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
We consider the problem of multi-task reasoning (MTR), where an agent can solve multiple tasks via (first-order) logic reasoning. This capability is essential for human-like intelligence due to its strong generalizability and simplicity for handling multiple tasks. However, a major challenge in developing effective M...
[ { "created": "Tue, 1 Feb 2022 16:22:19 GMT", "version": "v1" }, { "created": "Sun, 13 Feb 2022 01:17:51 GMT", "version": "v2" } ]
2022-02-15
[ [ "Lyu", "Daoming", "" ], [ "Liu", "Bo", "" ], [ "Chen", "Jianshu", "" ] ]
We consider the problem of multi-task reasoning (MTR), where an agent can solve multiple tasks via (first-order) logic reasoning. This capability is essential for human-like intelligence due to its strong generalizability and simplicity for handling multiple tasks. However, a major challenge in developing effective MTR...
2105.06785
Amin Totounferoush
Amin Totounferoush, Axel Schumacher and Miriam Schulte
Partitioned Deep Learning of Fluid-Structure Interaction
null
null
null
null
cs.CE cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
We present a partitioned neural network-based framework for learning of fluid-structure interaction (FSI) problems. We decompose the simulation domain into two smaller sub-domains, i.e., fluid and solid domains, and incorporate an independent neural network for each. A library is used to couple the two networks which...
[ { "created": "Fri, 14 May 2021 12:09:03 GMT", "version": "v1" } ]
2021-05-17
[ [ "Totounferoush", "Amin", "" ], [ "Schumacher", "Axel", "" ], [ "Schulte", "Miriam", "" ] ]
We present a partitioned neural network-based framework for learning of fluid-structure interaction (FSI) problems. We decompose the simulation domain into two smaller sub-domains, i.e., fluid and solid domains, and incorporate an independent neural network for each. A library is used to couple the two networks which t...
1603.03533
Mohammad Abdollahi Azgomi
Elaheh Ghassabani and Mohammad Abdollahi Azgomi
Stateless Code Model Checking of Information Flow Security
Trustworthy Computing Laboratory, School of Computer Engineering, Iran University of Science and Technology, Tehran, Iran, 2014
null
null
Technical Report No. TWcL-TR-1401
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Observational determinism is a security property that characterizes secure information flow for multithreaded programs. Most of the methods that have been used to verify observational determinism are based on either type systems or conventional model checking techniques. A conventional model checker is stateful and o...
[ { "created": "Fri, 11 Mar 2016 06:28:50 GMT", "version": "v1" } ]
2016-03-14
[ [ "Ghassabani", "Elaheh", "" ], [ "Azgomi", "Mohammad Abdollahi", "" ] ]
Observational determinism is a security property that characterizes secure information flow for multithreaded programs. Most of the methods that have been used to verify observational determinism are based on either type systems or conventional model checking techniques. A conventional model checker is stateful and oft...
1909.11291
Matt Gardner
Matt Gardner, Jonathan Berant, Hannaneh Hajishirzi, Alon Talmor, and Sewon Min
Question Answering is a Format; When is it Useful?
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Recent years have seen a dramatic expansion of tasks and datasets posed as question answering, from reading comprehension, semantic role labeling, and even machine translation, to image and video understanding. With this expansion, there are many differing views on the utility and definition of "question answering" i...
[ { "created": "Wed, 25 Sep 2019 05:16:15 GMT", "version": "v1" } ]
2019-09-26
[ [ "Gardner", "Matt", "" ], [ "Berant", "Jonathan", "" ], [ "Hajishirzi", "Hannaneh", "" ], [ "Talmor", "Alon", "" ], [ "Min", "Sewon", "" ] ]
Recent years have seen a dramatic expansion of tasks and datasets posed as question answering, from reading comprehension, semantic role labeling, and even machine translation, to image and video understanding. With this expansion, there are many differing views on the utility and definition of "question answering" its...
2402.09413
Joseph Y. Halpern
Joseph Y. Halpern
Mathematical Explanations
null
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A definition of what counts as an explanation of mathematical statement, and when one explanation is better than another, is given. Since all mathematical facts must be true in all causal models, and hence known by an agent, mathematical facts cannot be part of an explanation (under the standard notion of explanation...
[ { "created": "Sun, 31 Dec 2023 17:07:28 GMT", "version": "v1" } ]
2024-02-16
[ [ "Halpern", "Joseph Y.", "" ] ]
A definition of what counts as an explanation of mathematical statement, and when one explanation is better than another, is given. Since all mathematical facts must be true in all causal models, and hence known by an agent, mathematical facts cannot be part of an explanation (under the standard notion of explanation)....
2211.13723
Phan Hoang
Hoang Phan, Lam Tran, Ngoc N. Tran, Nhat Ho, Dinh Phung, Trung Le
Improving Multi-task Learning via Seeking Task-based Flat Regions
35 pages, 17 figures, 7 tables
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multi-Task Learning (MTL) is a widely-used and powerful learning paradigm for training deep neural networks that allows learning more than one objective by a single backbone. Compared to training tasks separately, MTL significantly reduces computational costs, improves data efficiency, and potentially enhances model ...
[ { "created": "Thu, 24 Nov 2022 17:19:30 GMT", "version": "v1" }, { "created": "Fri, 29 Sep 2023 19:22:28 GMT", "version": "v2" } ]
2023-10-03
[ [ "Phan", "Hoang", "" ], [ "Tran", "Lam", "" ], [ "Tran", "Ngoc N.", "" ], [ "Ho", "Nhat", "" ], [ "Phung", "Dinh", "" ], [ "Le", "Trung", "" ] ]
Multi-Task Learning (MTL) is a widely-used and powerful learning paradigm for training deep neural networks that allows learning more than one objective by a single backbone. Compared to training tasks separately, MTL significantly reduces computational costs, improves data efficiency, and potentially enhances model pe...
2205.13676
David Mebane
Kyle Hayes, Michael W. Fouts, Ali Baheri and David S. Mebane
Forward variable selection enables fast and accurate dynamic system identification with Karhunen-Lo\`eve decomposed Gaussian processes
null
null
null
null
cs.LG math.DS stat.CO stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A promising approach for scalable Gaussian processes (GPs) is the Karhunen-Lo\`eve (KL) decomposition, in which the GP kernel is represented by a set of basis functions which are the eigenfunctions of the kernel operator. Such decomposed kernels have the potential to be very fast, and do not depend on the selection o...
[ { "created": "Thu, 26 May 2022 23:41:43 GMT", "version": "v1" }, { "created": "Wed, 10 Aug 2022 18:05:25 GMT", "version": "v2" }, { "created": "Mon, 3 Oct 2022 20:55:45 GMT", "version": "v3" }, { "created": "Thu, 23 Feb 2023 16:53:23 GMT", "version": "v4" } ]
2023-02-24
[ [ "Hayes", "Kyle", "" ], [ "Fouts", "Michael W.", "" ], [ "Baheri", "Ali", "" ], [ "Mebane", "David S.", "" ] ]
A promising approach for scalable Gaussian processes (GPs) is the Karhunen-Lo\`eve (KL) decomposition, in which the GP kernel is represented by a set of basis functions which are the eigenfunctions of the kernel operator. Such decomposed kernels have the potential to be very fast, and do not depend on the selection of ...
2211.09619
Elad Hazan
Elad Hazan and Karan Singh
Introduction to Online Nonstochastic Control
Draft; comments/suggestions welcome at nonstochastic.control@gmail.com
null
null
null
cs.LG cs.RO cs.SY eess.SY math.OC stat.ML
http://creativecommons.org/licenses/by-nc-nd/4.0/
This text presents an introduction to an emerging paradigm in control of dynamical systems and differentiable reinforcement learning called online nonstochastic control. The new approach applies techniques from online convex optimization and convex relaxations to obtain new methods with provable guarantees for classi...
[ { "created": "Thu, 17 Nov 2022 16:12:45 GMT", "version": "v1" }, { "created": "Mon, 29 May 2023 16:46:48 GMT", "version": "v2" }, { "created": "Fri, 19 Jul 2024 00:46:18 GMT", "version": "v3" } ]
2024-07-22
[ [ "Hazan", "Elad", "" ], [ "Singh", "Karan", "" ] ]
This text presents an introduction to an emerging paradigm in control of dynamical systems and differentiable reinforcement learning called online nonstochastic control. The new approach applies techniques from online convex optimization and convex relaxations to obtain new methods with provable guarantees for classica...
1812.09774
Tatjana Petrov
Tatjana Petrov
Markov chain aggregation and its application to rule-based modelling
null
null
null
null
cs.OH q-bio.MN
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Rule-based modelling allows to represent molecular interactions in a compact and natural way. The underlying molecular dynamics, by the laws of stochastic chemical kinetics, behaves as a continuous-time Markov chain. However, this Markov chain enumerates all possible reaction mixtures, rendering the analysis of the c...
[ { "created": "Sun, 23 Dec 2018 20:50:11 GMT", "version": "v1" } ]
2018-12-27
[ [ "Petrov", "Tatjana", "" ] ]
Rule-based modelling allows to represent molecular interactions in a compact and natural way. The underlying molecular dynamics, by the laws of stochastic chemical kinetics, behaves as a continuous-time Markov chain. However, this Markov chain enumerates all possible reaction mixtures, rendering the analysis of the cha...
2406.03710
Jiaxi Hu
Jiaxi Hu, Qingsong Wen, Sijie Ruan, Li Liu, Yuxuan Liang
TwinS: Revisiting Non-Stationarity in Multivariate Time Series Forecasting
null
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently, multivariate time series forecasting tasks have garnered increasing attention due to their significant practical applications, leading to the emergence of various deep forecasting models. However, real-world time series exhibit pronounced non-stationary distribution characteristics. These characteristics ar...
[ { "created": "Thu, 6 Jun 2024 03:14:23 GMT", "version": "v1" }, { "created": "Sun, 14 Jul 2024 14:55:16 GMT", "version": "v2" } ]
2024-07-16
[ [ "Hu", "Jiaxi", "" ], [ "Wen", "Qingsong", "" ], [ "Ruan", "Sijie", "" ], [ "Liu", "Li", "" ], [ "Liang", "Yuxuan", "" ] ]
Recently, multivariate time series forecasting tasks have garnered increasing attention due to their significant practical applications, leading to the emergence of various deep forecasting models. However, real-world time series exhibit pronounced non-stationary distribution characteristics. These characteristics are ...
2212.10559
Damai Dai
Damai Dai, Yutao Sun, Li Dong, Yaru Hao, Shuming Ma, Zhifang Sui, Furu Wei
Why Can GPT Learn In-Context? Language Models Implicitly Perform Gradient Descent as Meta-Optimizers
Accepted to ACL 2023 findings
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large pretrained language models have shown surprising in-context learning (ICL) ability. With a few demonstration input-label pairs, they can predict the label for an unseen input without parameter updates. Despite the great success in performance, its working mechanism still remains an open question. In this paper,...
[ { "created": "Tue, 20 Dec 2022 18:58:48 GMT", "version": "v1" }, { "created": "Wed, 21 Dec 2022 08:36:47 GMT", "version": "v2" }, { "created": "Mon, 15 May 2023 11:45:12 GMT", "version": "v3" } ]
2023-05-16
[ [ "Dai", "Damai", "" ], [ "Sun", "Yutao", "" ], [ "Dong", "Li", "" ], [ "Hao", "Yaru", "" ], [ "Ma", "Shuming", "" ], [ "Sui", "Zhifang", "" ], [ "Wei", "Furu", "" ] ]
Large pretrained language models have shown surprising in-context learning (ICL) ability. With a few demonstration input-label pairs, they can predict the label for an unseen input without parameter updates. Despite the great success in performance, its working mechanism still remains an open question. In this paper, w...
2207.03899
Yulai Cong
Yulai Cong, Miaoyun Zhao
Big Learning
null
null
null
null
cs.LG cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent advances in big/foundation models reveal a promising path for deep learning, where the roadmap steadily moves from big data to big models to (the newly-introduced) big learning. Specifically, the big learning exhaustively exploits the information inherent in its large-scale complete/incomplete training data, b...
[ { "created": "Fri, 8 Jul 2022 13:35:21 GMT", "version": "v1" }, { "created": "Wed, 14 Sep 2022 10:47:30 GMT", "version": "v2" }, { "created": "Tue, 27 Sep 2022 13:36:19 GMT", "version": "v3" }, { "created": "Sun, 21 May 2023 04:05:46 GMT", "version": "v4" } ]
2023-05-23
[ [ "Cong", "Yulai", "" ], [ "Zhao", "Miaoyun", "" ] ]
Recent advances in big/foundation models reveal a promising path for deep learning, where the roadmap steadily moves from big data to big models to (the newly-introduced) big learning. Specifically, the big learning exhaustively exploits the information inherent in its large-scale complete/incomplete training data, by ...
2110.01757
Imtiaj Khan
Imtiaj Khan, Virgilio Centeno
Detecting Timing Attack on PMU Data utilizing Unwrapped Phase Angle and Low-Rank Henkel Matrix Properties
7 pages
null
null
null
cs.CR cs.SY eess.SY
http://creativecommons.org/licenses/by/4.0/
Introduction of PMUs to cyber-physical system pro-vides accurate data acquisition, while posing additional risk of being the victim of cyber attack. Both False Data Injection Attack (FDIA) and GPS-spoofing or timing attack can provide malicious data to the cyber system, though these two attacks require different post...
[ { "created": "Tue, 5 Oct 2021 00:20:29 GMT", "version": "v1" }, { "created": "Thu, 7 Oct 2021 17:03:52 GMT", "version": "v2" } ]
2021-10-08
[ [ "Khan", "Imtiaj", "" ], [ "Centeno", "Virgilio", "" ] ]
Introduction of PMUs to cyber-physical system pro-vides accurate data acquisition, while posing additional risk of being the victim of cyber attack. Both False Data Injection Attack (FDIA) and GPS-spoofing or timing attack can provide malicious data to the cyber system, though these two attacks require different post-a...
1609.05563
George Mathew
Tim Menzies, Ye Yang, George Mathew, Barry Boehm, Jairus Hihn
Negative Results for Software Effort Estimation
22 pages, EMSE 2016 accepted submission. Affiliated to "Jet Propulsion Laboratory, California Institute of Technology"
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Context:More than half the literature on software effort estimation (SEE) focuses on comparisons of new estimation methods. Surprisingly, there are no studies comparing state of the art latest methods with decades-old approaches. Objective:To check if new SEE methods generated better estimates than older methods. Met...
[ { "created": "Sun, 18 Sep 2016 23:03:30 GMT", "version": "v1" }, { "created": "Thu, 22 Sep 2016 15:35:57 GMT", "version": "v2" }, { "created": "Thu, 29 Sep 2016 12:08:08 GMT", "version": "v3" } ]
2016-09-30
[ [ "Menzies", "Tim", "" ], [ "Yang", "Ye", "" ], [ "Mathew", "George", "" ], [ "Boehm", "Barry", "" ], [ "Hihn", "Jairus", "" ] ]
Context:More than half the literature on software effort estimation (SEE) focuses on comparisons of new estimation methods. Surprisingly, there are no studies comparing state of the art latest methods with decades-old approaches. Objective:To check if new SEE methods generated better estimates than older methods. Metho...
1906.10075
Ilias Diakonikolas
Ilias Diakonikolas and Themis Gouleakis and Christos Tzamos
Distribution-Independent PAC Learning of Halfspaces with Massart Noise
null
null
null
null
cs.LG cs.DS math.ST stat.ML stat.TH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the problem of {\em distribution-independent} PAC learning of halfspaces in the presence of Massart noise. Specifically, we are given a set of labeled examples $(\mathbf{x}, y)$ drawn from a distribution $\mathcal{D}$ on $\mathbb{R}^{d+1}$ such that the marginal distribution on the unlabeled points $\mathbf{...
[ { "created": "Mon, 24 Jun 2019 16:54:46 GMT", "version": "v1" }, { "created": "Tue, 10 Dec 2019 16:46:00 GMT", "version": "v2" } ]
2019-12-11
[ [ "Diakonikolas", "Ilias", "" ], [ "Gouleakis", "Themis", "" ], [ "Tzamos", "Christos", "" ] ]
We study the problem of {\em distribution-independent} PAC learning of halfspaces in the presence of Massart noise. Specifically, we are given a set of labeled examples $(\mathbf{x}, y)$ drawn from a distribution $\mathcal{D}$ on $\mathbb{R}^{d+1}$ such that the marginal distribution on the unlabeled points $\mathbf{x}...
2202.11508
Nam Chu
Nam H. Chu, Diep N. Nguyen, Dinh Thai Hoang, Quoc-Viet Pham, Khoa T. Phan, Won-Joo Hwang, and Eryk Dutkiewicz
AI-enabled mm-Waveform Configuration for Autonomous Vehicles with Integrated Communication and Sensing
Typos, channel model updates
null
null
null
cs.NI eess.SP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Integrated Communications and Sensing (ICS) has recently emerged as an enabling technology for ubiquitous sensing and IoT applications. For ICS application to Autonomous Vehicles (AVs), optimizing the waveform structure is one of the most challenging tasks due to strong influences between sensing and data communicati...
[ { "created": "Wed, 23 Feb 2022 13:45:07 GMT", "version": "v1" }, { "created": "Wed, 6 Jul 2022 23:35:11 GMT", "version": "v2" }, { "created": "Mon, 31 Oct 2022 05:03:03 GMT", "version": "v3" } ]
2022-11-01
[ [ "Chu", "Nam H.", "" ], [ "Nguyen", "Diep N.", "" ], [ "Hoang", "Dinh Thai", "" ], [ "Pham", "Quoc-Viet", "" ], [ "Phan", "Khoa T.", "" ], [ "Hwang", "Won-Joo", "" ], [ "Dutkiewicz", "Eryk", "" ] ]
Integrated Communications and Sensing (ICS) has recently emerged as an enabling technology for ubiquitous sensing and IoT applications. For ICS application to Autonomous Vehicles (AVs), optimizing the waveform structure is one of the most challenging tasks due to strong influences between sensing and data communication...
2003.09644
Peiyuan Ni
Peiyuan Ni, Wenguang Zhang, Xiaoxiao Zhu, Qixin Cao
PointNet++ Grasping: Learning An End-to-end Spatial Grasp Generation Algorithm from Sparse Point Clouds
Accepted at the International Conference on Robotics and Automation (ICRA) 2020
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Grasping for novel objects is important for robot manipulation in unstructured environments. Most of current works require a grasp sampling process to obtain grasp candidates, combined with local feature extractor using deep learning. This pipeline is time-costly, expecially when grasp points are sparse such as at th...
[ { "created": "Sat, 21 Mar 2020 12:25:11 GMT", "version": "v1" } ]
2020-03-24
[ [ "Ni", "Peiyuan", "" ], [ "Zhang", "Wenguang", "" ], [ "Zhu", "Xiaoxiao", "" ], [ "Cao", "Qixin", "" ] ]
Grasping for novel objects is important for robot manipulation in unstructured environments. Most of current works require a grasp sampling process to obtain grasp candidates, combined with local feature extractor using deep learning. This pipeline is time-costly, expecially when grasp points are sparse such as at the ...
1410.6609
Dominik Bartuschat
Dominik Bartuschat, Ulrich R\"ude
Parallel Multiphysics Simulations of Charged Particles in Microfluidic Flows
Submitted to Journal of Computational Science (Elsevier)
null
null
null
cs.CE physics.comp-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The article describes parallel multiphysics simulations of charged particles in microfluidic flows with the waLBerla framework. To this end, three physical effects are coupled: rigid body dynamics, fluid flow modelled by a lattice Boltzmann algorithm, and electric potentials represented by a finite volume discretisat...
[ { "created": "Fri, 24 Oct 2014 08:10:13 GMT", "version": "v1" } ]
2014-10-27
[ [ "Bartuschat", "Dominik", "" ], [ "Rüde", "Ulrich", "" ] ]
The article describes parallel multiphysics simulations of charged particles in microfluidic flows with the waLBerla framework. To this end, three physical effects are coupled: rigid body dynamics, fluid flow modelled by a lattice Boltzmann algorithm, and electric potentials represented by a finite volume discretisatio...
1906.08189
Riley Simmons-Edler
Riley Simmons-Edler, Ben Eisner, Daniel Yang, Anthony Bisulco, Eric Mitchell, Sebastian Seung, Daniel Lee
Reward Prediction Error as an Exploration Objective in Deep RL
Published at IJCAI 2020, camera-ready version
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A major challenge in reinforcement learning is exploration, when local dithering methods such as epsilon-greedy sampling are insufficient to solve a given task. Many recent methods have proposed to intrinsically motivate an agent to seek novel states, driving the agent to discover improved reward. However, while stat...
[ { "created": "Wed, 19 Jun 2019 16:06:36 GMT", "version": "v1" }, { "created": "Wed, 16 Oct 2019 21:11:45 GMT", "version": "v2" }, { "created": "Mon, 9 Dec 2019 18:51:51 GMT", "version": "v3" }, { "created": "Wed, 29 Apr 2020 00:30:52 GMT", "version": "v4" }, { "cr...
2021-01-15
[ [ "Simmons-Edler", "Riley", "" ], [ "Eisner", "Ben", "" ], [ "Yang", "Daniel", "" ], [ "Bisulco", "Anthony", "" ], [ "Mitchell", "Eric", "" ], [ "Seung", "Sebastian", "" ], [ "Lee", "Daniel", "" ] ]
A major challenge in reinforcement learning is exploration, when local dithering methods such as epsilon-greedy sampling are insufficient to solve a given task. Many recent methods have proposed to intrinsically motivate an agent to seek novel states, driving the agent to discover improved reward. However, while state-...
2008.05157
Di Qiu
Di Qiu, Jin Zeng, Zhanghan Ke, Wenxiu Sun, Chengxi Yang
Towards Geometry Guided Neural Relighting with Flash Photography
null
null
null
null
cs.CV cs.GR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Previous image based relighting methods require capturing multiple images to acquire high frequency lighting effect under different lighting conditions, which needs nontrivial effort and may be unrealistic in certain practical use scenarios. While such approaches rely entirely on cleverly sampling the color images un...
[ { "created": "Wed, 12 Aug 2020 08:03:28 GMT", "version": "v1" } ]
2020-08-13
[ [ "Qiu", "Di", "" ], [ "Zeng", "Jin", "" ], [ "Ke", "Zhanghan", "" ], [ "Sun", "Wenxiu", "" ], [ "Yang", "Chengxi", "" ] ]
Previous image based relighting methods require capturing multiple images to acquire high frequency lighting effect under different lighting conditions, which needs nontrivial effort and may be unrealistic in certain practical use scenarios. While such approaches rely entirely on cleverly sampling the color images unde...
2405.16384
Nikolai Kudasov
Nikolai Kudasov, Renata Shakirova, Egor Shalagin, Karina Tyulebaeva
Free Foil: Generating Efficient and Scope-Safe Abstract Syntax
null
null
null
null
cs.PL
http://creativecommons.org/licenses/by/4.0/
Handling bound identifiers correctly and efficiently is critical in implementations of compilers, proof assistants, and theorem provers. When choosing a representation for abstract syntax with binders, implementors face a trade-off between type safety with intrinsic scoping, efficiency, and generality. The "foil" b...
[ { "created": "Sun, 26 May 2024 00:14:35 GMT", "version": "v1" } ]
2024-05-28
[ [ "Kudasov", "Nikolai", "" ], [ "Shakirova", "Renata", "" ], [ "Shalagin", "Egor", "" ], [ "Tyulebaeva", "Karina", "" ] ]
Handling bound identifiers correctly and efficiently is critical in implementations of compilers, proof assistants, and theorem provers. When choosing a representation for abstract syntax with binders, implementors face a trade-off between type safety with intrinsic scoping, efficiency, and generality. The "foil" by Ma...
1605.06976
Saber Jafarizadeh
Saber Jafarizadeh
Continuous Time Quantum Consensus & Quantum Synchronisation
17 pages, 4 figures. arXiv admin note: text overlap with arXiv:1509.05823
null
null
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Distributed consensus algorithm over networks of quantum systems has been the focus of recent studies in the context of quantum computing and distributed control. Most of the progress in this category have been on the convergence conditions and optimizing the convergence rate of the algorithm, for quantum networks wi...
[ { "created": "Mon, 23 May 2016 11:16:55 GMT", "version": "v1" } ]
2016-05-24
[ [ "Jafarizadeh", "Saber", "" ] ]
Distributed consensus algorithm over networks of quantum systems has been the focus of recent studies in the context of quantum computing and distributed control. Most of the progress in this category have been on the convergence conditions and optimizing the convergence rate of the algorithm, for quantum networks with...
1407.8339
Wei Chen
Wei Chen, Yajun Wang, Yang Yuan, Qinshi Wang
Combinatorial Multi-Armed Bandit and Its Extension to Probabilistically Triggered Arms
A preliminary version of the paper is published in ICML'2013
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We define a general framework for a large class of combinatorial multi-armed bandit (CMAB) problems, where subsets of base arms with unknown distributions form super arms. In each round, a super arm is played and the base arms contained in the super arm are played and their outcomes are observed. We further consider ...
[ { "created": "Thu, 31 Jul 2014 10:09:11 GMT", "version": "v1" }, { "created": "Wed, 10 Sep 2014 01:33:08 GMT", "version": "v2" }, { "created": "Tue, 3 Mar 2015 06:26:10 GMT", "version": "v3" }, { "created": "Sun, 15 Nov 2015 06:02:45 GMT", "version": "v4" }, { "cr...
2016-03-30
[ [ "Chen", "Wei", "" ], [ "Wang", "Yajun", "" ], [ "Yuan", "Yang", "" ], [ "Wang", "Qinshi", "" ] ]
We define a general framework for a large class of combinatorial multi-armed bandit (CMAB) problems, where subsets of base arms with unknown distributions form super arms. In each round, a super arm is played and the base arms contained in the super arm are played and their outcomes are observed. We further consider th...
1805.02094
Robert Lim
Robert Lim, Kenneth Heafield, Hieu Hoang, Mark Briers and Allen Malony
Exploring Hyper-Parameter Optimization for Neural Machine Translation on GPU Architectures
2018 2nd Naval Applications for Machine Learning
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Neural machine translation (NMT) has been accelerated by deep learning neural networks over statistical-based approaches, due to the plethora and programmability of commodity heterogeneous computing architectures such as FPGAs and GPUs and the massive amount of training corpuses generated from news outlets, governmen...
[ { "created": "Sat, 5 May 2018 18:13:41 GMT", "version": "v1" }, { "created": "Mon, 13 Sep 2021 19:34:32 GMT", "version": "v2" } ]
2021-09-15
[ [ "Lim", "Robert", "" ], [ "Heafield", "Kenneth", "" ], [ "Hoang", "Hieu", "" ], [ "Briers", "Mark", "" ], [ "Malony", "Allen", "" ] ]
Neural machine translation (NMT) has been accelerated by deep learning neural networks over statistical-based approaches, due to the plethora and programmability of commodity heterogeneous computing architectures such as FPGAs and GPUs and the massive amount of training corpuses generated from news outlets, government ...
2312.05464
Atoosa Malemir Chegini
Atoosa Chegini, Soheil Feizi
Identifying and Mitigating Model Failures through Few-shot CLIP-aided Diffusion Generation
null
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
Deep learning models can encounter unexpected failures, especially when dealing with challenging sub-populations. One common reason for these failures is the occurrence of objects in backgrounds that are rarely seen during training. To gain a better understanding of these failure modes, human-interpretable descriptio...
[ { "created": "Sat, 9 Dec 2023 04:43:49 GMT", "version": "v1" } ]
2023-12-12
[ [ "Chegini", "Atoosa", "" ], [ "Feizi", "Soheil", "" ] ]
Deep learning models can encounter unexpected failures, especially when dealing with challenging sub-populations. One common reason for these failures is the occurrence of objects in backgrounds that are rarely seen during training. To gain a better understanding of these failure modes, human-interpretable descriptions...
1404.0002
Albert Heinle
Mark Giesbrecht, Albert Heinle, Viktor Levandovskyy
Factoring Differential Operators in n Variables
null
null
null
null
cs.SC math.AC math.RA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we present a new algorithm and an experimental implementation for factoring elements in the polynomial n'th Weyl algebra, the polynomial n'th shift algebra, and ZZ^n-graded polynomials in the n'th q-Weyl algebra. The most unexpected result is that this noncommutative problem of factoring partial diff...
[ { "created": "Mon, 31 Mar 2014 13:34:19 GMT", "version": "v1" } ]
2014-04-02
[ [ "Giesbrecht", "Mark", "" ], [ "Heinle", "Albert", "" ], [ "Levandovskyy", "Viktor", "" ] ]
In this paper, we present a new algorithm and an experimental implementation for factoring elements in the polynomial n'th Weyl algebra, the polynomial n'th shift algebra, and ZZ^n-graded polynomials in the n'th q-Weyl algebra. The most unexpected result is that this noncommutative problem of factoring partial differen...
2201.03806
Gaurav Mahajan
Robi Bhattacharjee and Gaurav Mahajan
Learning what to remember
null
ALT 2022
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider a lifelong learning scenario in which a learner faces a neverending and arbitrary stream of facts and has to decide which ones to retain in its limited memory. We introduce a mathematical model based on the online learning framework, in which the learner measures itself against a collection of experts tha...
[ { "created": "Tue, 11 Jan 2022 06:42:50 GMT", "version": "v1" } ]
2022-01-13
[ [ "Bhattacharjee", "Robi", "" ], [ "Mahajan", "Gaurav", "" ] ]
We consider a lifelong learning scenario in which a learner faces a neverending and arbitrary stream of facts and has to decide which ones to retain in its limited memory. We introduce a mathematical model based on the online learning framework, in which the learner measures itself against a collection of experts that ...
2110.11316
Andreas F\"urst
Andreas F\"urst, Elisabeth Rumetshofer, Johannes Lehner, Viet Tran, Fei Tang, Hubert Ramsauer, David Kreil, Michael Kopp, G\"unter Klambauer, Angela Bitto-Nemling, Sepp Hochreiter
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP
Published at NeurIPS 2022; Blog: https://ml-jku.github.io/cloob; GitHub: https://github.com/ml-jku/cloob
null
null
null
cs.LG cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
CLIP yielded impressive results on zero-shot transfer learning tasks and is considered as a foundation model like BERT or GPT3. CLIP vision models that have a rich representation are pre-trained using the InfoNCE objective and natural language supervision before they are fine-tuned on particular tasks. Though CLIP ex...
[ { "created": "Thu, 21 Oct 2021 17:50:48 GMT", "version": "v1" }, { "created": "Fri, 11 Feb 2022 09:49:52 GMT", "version": "v2" }, { "created": "Mon, 13 Jun 2022 06:54:47 GMT", "version": "v3" }, { "created": "Mon, 7 Nov 2022 13:57:43 GMT", "version": "v4" } ]
2022-11-08
[ [ "Fürst", "Andreas", "" ], [ "Rumetshofer", "Elisabeth", "" ], [ "Lehner", "Johannes", "" ], [ "Tran", "Viet", "" ], [ "Tang", "Fei", "" ], [ "Ramsauer", "Hubert", "" ], [ "Kreil", "David", "" ], [ "...
CLIP yielded impressive results on zero-shot transfer learning tasks and is considered as a foundation model like BERT or GPT3. CLIP vision models that have a rich representation are pre-trained using the InfoNCE objective and natural language supervision before they are fine-tuned on particular tasks. Though CLIP exce...
2307.15427
Dimitri Korsch
Dimitri Korsch, Paul Bodesheim, Joachim Denzler
Deep Learning Pipeline for Automated Visual Moth Monitoring: Insect Localization and Species Classification
null
null
10.18420/informatik2021-036
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Biodiversity monitoring is crucial for tracking and counteracting adverse trends in population fluctuations. However, automatic recognition systems are rarely applied so far, and experts evaluate the generated data masses manually. Especially the support of deep learning methods for visual monitoring is not yet estab...
[ { "created": "Fri, 28 Jul 2023 09:22:09 GMT", "version": "v1" } ]
2023-07-31
[ [ "Korsch", "Dimitri", "" ], [ "Bodesheim", "Paul", "" ], [ "Denzler", "Joachim", "" ] ]
Biodiversity monitoring is crucial for tracking and counteracting adverse trends in population fluctuations. However, automatic recognition systems are rarely applied so far, and experts evaluate the generated data masses manually. Especially the support of deep learning methods for visual monitoring is not yet establi...
2210.00674
Weihua Zhou
Chen Zhao, Joyce H Keyak, Xuewei Cao, Qiuying Sha, Li Wu, Zhe Luo, Lanjuan Zhao, Qing Tian, Chuan Qiu, Ray Su, Hui Shen, Hong-Wen Deng, Weihua Zhou
Multi-view information fusion using multi-view variational autoencoders to predict proximal femoral strength
16 pages, 3 figures
null
10.3389/fendo.2023.1261088
null
cs.LG q-bio.GN q-bio.QM
http://creativecommons.org/licenses/by/4.0/
The aim of this paper is to design a deep learning-based model to predict proximal femoral strength using multi-view information fusion. Method: We developed new models using multi-view variational autoencoder (MVAE) for feature representation learning and a product of expert (PoE) model for multi-view information fu...
[ { "created": "Mon, 3 Oct 2022 01:31:34 GMT", "version": "v1" }, { "created": "Tue, 28 Mar 2023 00:19:48 GMT", "version": "v2" } ]
2023-12-22
[ [ "Zhao", "Chen", "" ], [ "Keyak", "Joyce H", "" ], [ "Cao", "Xuewei", "" ], [ "Sha", "Qiuying", "" ], [ "Wu", "Li", "" ], [ "Luo", "Zhe", "" ], [ "Zhao", "Lanjuan", "" ], [ "Tian", "Qing", ""...
The aim of this paper is to design a deep learning-based model to predict proximal femoral strength using multi-view information fusion. Method: We developed new models using multi-view variational autoencoder (MVAE) for feature representation learning and a product of expert (PoE) model for multi-view information fusi...
2306.15106
Suman Rath
Suman Rath, Tapadhir Das, Shamik Sengupta
Improvise, Adapt, Overcome: Dynamic Resiliency Against Unknown Attack Vectors in Microgrid Cybersecurity Games
null
null
null
null
cs.CR cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cyber-physical microgrids are vulnerable to rootkit attacks that manipulate system dynamics to create instabilities in the network. Rootkits tend to hide their access level within microgrid system components to launch sudden attacks that prey on the slow response time of defenders to manipulate system trajectory. Thi...
[ { "created": "Mon, 26 Jun 2023 22:57:27 GMT", "version": "v1" } ]
2023-06-28
[ [ "Rath", "Suman", "" ], [ "Das", "Tapadhir", "" ], [ "Sengupta", "Shamik", "" ] ]
Cyber-physical microgrids are vulnerable to rootkit attacks that manipulate system dynamics to create instabilities in the network. Rootkits tend to hide their access level within microgrid system components to launch sudden attacks that prey on the slow response time of defenders to manipulate system trajectory. This ...
2110.03872
Inna K. Shingareva Dr. Prof.
A.D. Polyanin, I.K. Shingareva
The similarity index of mathematical and other scientific publications with equations and formulas and the problem of self-plagiarism identification
20 pages, 4 figures, 2 photos, Russian language
null
null
null
cs.DL
http://creativecommons.org/licenses/by/4.0/
The problems of estimating the similarity index of inhomogeneous scientific publications containing equations and formulas are discussed for the first time. It is shown that the presence of equations and formulas (as well as figures, drawings, and tables) is a complicating factor that significantly complicates the st...
[ { "created": "Fri, 8 Oct 2021 03:03:57 GMT", "version": "v1" } ]
2021-10-11
[ [ "Polyanin", "A. D.", "" ], [ "Shingareva", "I. K.", "" ] ]
The problems of estimating the similarity index of inhomogeneous scientific publications containing equations and formulas are discussed for the first time. It is shown that the presence of equations and formulas (as well as figures, drawings, and tables) is a complicating factor that significantly complicates the stud...
1111.6713
Mohammed Elmogy Dr.
Ahmed Tolba and Nabila Eladawi and Mohammed Elmogy
An Enhanced Indexing And Ranking Technique On The Semantic Web
8 pages, 7 figures
IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 5, No 3, 2011, 118-125
null
null
cs.AI
http://creativecommons.org/licenses/by/3.0/
With the fast growth of the Internet, more and more information is available on the Web. The Semantic Web has many features which cannot be handled by using the traditional search engines. It extracts metadata for each discovered Web documents in RDF or OWL formats, and computes relations between documents. We propos...
[ { "created": "Tue, 29 Nov 2011 07:24:27 GMT", "version": "v1" } ]
2011-11-30
[ [ "Tolba", "Ahmed", "" ], [ "Eladawi", "Nabila", "" ], [ "Elmogy", "Mohammed", "" ] ]
With the fast growth of the Internet, more and more information is available on the Web. The Semantic Web has many features which cannot be handled by using the traditional search engines. It extracts metadata for each discovered Web documents in RDF or OWL formats, and computes relations between documents. We proposed...
2102.01458
Marco Guerzoni
Luigi Riso and Marco Guerzoni
Drift Estimation with Graphical Models
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper deals with the issue of concept drift in supervised machine learn-ing. We make use of graphical models to elicit the visible structure of the dataand we infer from there changes in the hidden context. Differently from previous concept-drift detection methods, this application does not depend on the supervi...
[ { "created": "Tue, 2 Feb 2021 12:24:34 GMT", "version": "v1" } ]
2021-02-03
[ [ "Riso", "Luigi", "" ], [ "Guerzoni", "Marco", "" ] ]
This paper deals with the issue of concept drift in supervised machine learn-ing. We make use of graphical models to elicit the visible structure of the dataand we infer from there changes in the hidden context. Differently from previous concept-drift detection methods, this application does not depend on the supervise...
2009.06226
Yukuan Lou
Chunlai Chai, Yukuan Lou, Shijin Zhang
Prior Knowledge about Attributes: Learning a More Effective Potential Space for Zero-Shot Recognition
7 pages, 4 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Zero-shot learning (ZSL) aims to recognize unseen classes accurately by learning seen classes and known attributes, but correlations in attributes were ignored by previous study which lead to classification results confused. To solve this problem, we build an Attribute Correlation Potential Space Generation (ACPSG) m...
[ { "created": "Mon, 14 Sep 2020 06:57:23 GMT", "version": "v1" } ]
2020-09-15
[ [ "Chai", "Chunlai", "" ], [ "Lou", "Yukuan", "" ], [ "Zhang", "Shijin", "" ] ]
Zero-shot learning (ZSL) aims to recognize unseen classes accurately by learning seen classes and known attributes, but correlations in attributes were ignored by previous study which lead to classification results confused. To solve this problem, we build an Attribute Correlation Potential Space Generation (ACPSG) mod...
1311.6821
Subhash Kak
Subhash Kak
A Class of Orthogonal Sequences
8 pages, 2 figures
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a class of random orthogonal sequences associated with the number theoretic Hilbert transform. We present a constructive procedure for finding the random sequences for different modulus values. These random sequences have autocorrelation function that is zero everywhere excepting at the origin. Th...
[ { "created": "Tue, 26 Nov 2013 21:13:59 GMT", "version": "v1" } ]
2013-11-28
[ [ "Kak", "Subhash", "" ] ]
This paper presents a class of random orthogonal sequences associated with the number theoretic Hilbert transform. We present a constructive procedure for finding the random sequences for different modulus values. These random sequences have autocorrelation function that is zero everywhere excepting at the origin. Thes...
2312.15420
Ming Cheung
Ming Cheung
FedDMF: Privacy-Preserving User Attribute Prediction using Deep Matrix Factorization
null
null
null
null
cs.LG cs.CR
http://creativecommons.org/licenses/by/4.0/
User attribute prediction is a crucial task in various industries. However, sharing user data across different organizations faces challenges due to privacy concerns and legal requirements regarding personally identifiable information. Regulations such as the General Data Protection Regulation (GDPR) in the European ...
[ { "created": "Sun, 24 Dec 2023 06:49:00 GMT", "version": "v1" } ]
2023-12-27
[ [ "Cheung", "Ming", "" ] ]
User attribute prediction is a crucial task in various industries. However, sharing user data across different organizations faces challenges due to privacy concerns and legal requirements regarding personally identifiable information. Regulations such as the General Data Protection Regulation (GDPR) in the European Un...
2211.06701
Xipeng Chen
Xipeng Chen, Guangrun Wang, Dizhong Zhu, Xiaodan Liang, Philip H. S. Torr and Liang Lin
Structure-Preserving 3D Garment Modeling with Neural Sewing Machines
NeurIPS 2022
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
3D Garment modeling is a critical and challenging topic in the area of computer vision and graphics, with increasing attention focused on garment representation learning, garment reconstruction, and controllable garment manipulation, whereas existing methods were constrained to model garments under specific categorie...
[ { "created": "Sat, 12 Nov 2022 16:43:29 GMT", "version": "v1" } ]
2022-11-15
[ [ "Chen", "Xipeng", "" ], [ "Wang", "Guangrun", "" ], [ "Zhu", "Dizhong", "" ], [ "Liang", "Xiaodan", "" ], [ "Torr", "Philip H. S.", "" ], [ "Lin", "Liang", "" ] ]
3D Garment modeling is a critical and challenging topic in the area of computer vision and graphics, with increasing attention focused on garment representation learning, garment reconstruction, and controllable garment manipulation, whereas existing methods were constrained to model garments under specific categories ...
2311.10995
Yaman Kumar Singla
Varun Khurana, Yaman K Singla, Jayakumar Subramanian, Rajiv Ratn Shah, Changyou Chen, Zhiqiang Xu, Balaji Krishnamurthy
Behavior Optimized Image Generation
null
null
null
null
cs.CV cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The last few years have witnessed great success on image generation, which has crossed the acceptance thresholds of aesthetics, making it directly applicable to personal and commercial applications. However, images, especially in marketing and advertising applications, are often created as a means to an end as oppose...
[ { "created": "Sat, 18 Nov 2023 07:07:38 GMT", "version": "v1" } ]
2023-11-21
[ [ "Khurana", "Varun", "" ], [ "Singla", "Yaman K", "" ], [ "Subramanian", "Jayakumar", "" ], [ "Shah", "Rajiv Ratn", "" ], [ "Chen", "Changyou", "" ], [ "Xu", "Zhiqiang", "" ], [ "Krishnamurthy", "Balaji", ""...
The last few years have witnessed great success on image generation, which has crossed the acceptance thresholds of aesthetics, making it directly applicable to personal and commercial applications. However, images, especially in marketing and advertising applications, are often created as a means to an end as opposed ...
2303.10131
Hideaki Hata
Christoph Treude, Hideaki Hata
She Elicits Requirements and He Tests: Software Engineering Gender Bias in Large Language Models
6 pages, MSR 2023
null
null
null
cs.SE cs.AI cs.CY cs.LG
http://creativecommons.org/publicdomain/zero/1.0/
Implicit gender bias in software development is a well-documented issue, such as the association of technical roles with men. To address this bias, it is important to understand it in more detail. This study uses data mining techniques to investigate the extent to which 56 tasks related to software development, such ...
[ { "created": "Fri, 17 Mar 2023 17:16:53 GMT", "version": "v1" } ]
2023-03-20
[ [ "Treude", "Christoph", "" ], [ "Hata", "Hideaki", "" ] ]
Implicit gender bias in software development is a well-documented issue, such as the association of technical roles with men. To address this bias, it is important to understand it in more detail. This study uses data mining techniques to investigate the extent to which 56 tasks related to software development, such as...
2301.01449
Enci Liu
Enci Liu, Chenlin Meng, Matthew Kolodner, Eun Jee Sung, Sihang Chen, Marshall Burke, David Lobell, Stefano Ermon
Building Coverage Estimation with Low-resolution Remote Sensing Imagery
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Building coverage statistics provide crucial insights into the urbanization, infrastructure, and poverty level of a region, facilitating efforts towards alleviating poverty, building sustainable cities, and allocating infrastructure investments and public service provision. Global mapping of buildings has been made m...
[ { "created": "Wed, 4 Jan 2023 05:19:33 GMT", "version": "v1" }, { "created": "Thu, 5 Jan 2023 04:39:49 GMT", "version": "v2" } ]
2023-01-06
[ [ "Liu", "Enci", "" ], [ "Meng", "Chenlin", "" ], [ "Kolodner", "Matthew", "" ], [ "Sung", "Eun Jee", "" ], [ "Chen", "Sihang", "" ], [ "Burke", "Marshall", "" ], [ "Lobell", "David", "" ], [ "Ermon",...
Building coverage statistics provide crucial insights into the urbanization, infrastructure, and poverty level of a region, facilitating efforts towards alleviating poverty, building sustainable cities, and allocating infrastructure investments and public service provision. Global mapping of buildings has been made mor...
2211.11944
Yuetong Wang
Pengyuan Shi, Yuetong Wang, Saad Abbasi, Alexander Wong
COVID-Net Assistant: A Deep Learning-Driven Virtual Assistant for COVID-19 Symptom Prediction and Recommendation
null
null
null
null
cs.LG cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As the COVID-19 pandemic continues to put a significant burden on healthcare systems worldwide, there has been growing interest in finding inexpensive symptom pre-screening and recommendation methods to assist in efficiently using available medical resources such as PCR tests. In this study, we introduce the design o...
[ { "created": "Tue, 22 Nov 2022 01:41:48 GMT", "version": "v1" } ]
2022-11-23
[ [ "Shi", "Pengyuan", "" ], [ "Wang", "Yuetong", "" ], [ "Abbasi", "Saad", "" ], [ "Wong", "Alexander", "" ] ]
As the COVID-19 pandemic continues to put a significant burden on healthcare systems worldwide, there has been growing interest in finding inexpensive symptom pre-screening and recommendation methods to assist in efficiently using available medical resources such as PCR tests. In this study, we introduce the design of ...
1404.3945
Ahmed Douik
Ahmed Douik, Sameh Sorour, Hamidou Tembine, Mohamed-Slim Alouini, and Tareq Y. Al-Naffouri
A Game Theoretic Approach to Minimize the Completion Time of Network Coded Cooperative Data Exchange
conference version of arXiv:1404.3637
null
null
null
cs.IT cs.GT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we introduce a game theoretic framework for studying the problem of minimizing the completion time of instantly decodable network coding (IDNC) for cooperative data exchange (CDE) in decentralized wireless network. In this configuration, clients cooperate with each other to recover the erased packets w...
[ { "created": "Mon, 14 Apr 2014 09:08:25 GMT", "version": "v1" } ]
2014-04-16
[ [ "Douik", "Ahmed", "" ], [ "Sorour", "Sameh", "" ], [ "Tembine", "Hamidou", "" ], [ "Alouini", "Mohamed-Slim", "" ], [ "Al-Naffouri", "Tareq Y.", "" ] ]
In this paper, we introduce a game theoretic framework for studying the problem of minimizing the completion time of instantly decodable network coding (IDNC) for cooperative data exchange (CDE) in decentralized wireless network. In this configuration, clients cooperate with each other to recover the erased packets wit...
2102.13009
Stefan Steinerberger
Yulan Zhang, Stefan Steinerberger
t-SNE, Forceful Colorings and Mean Field Limits
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
t-SNE is one of the most commonly used force-based nonlinear dimensionality reduction methods. This paper has two contributions: the first is forceful colorings, an idea that is also applicable to other force-based methods (UMAP, ForceAtlas2,...). In every equilibrium, the attractive and repulsive forces acting on a ...
[ { "created": "Thu, 25 Feb 2021 17:14:07 GMT", "version": "v1" } ]
2021-02-26
[ [ "Zhang", "Yulan", "" ], [ "Steinerberger", "Stefan", "" ] ]
t-SNE is one of the most commonly used force-based nonlinear dimensionality reduction methods. This paper has two contributions: the first is forceful colorings, an idea that is also applicable to other force-based methods (UMAP, ForceAtlas2,...). In every equilibrium, the attractive and repulsive forces acting on a pa...
1401.0781
Zizhan Zheng
Zizhan Zheng, Zhixue Lu, Prasun Sinha, Santosh Kumar
Ensuring Predictable Contact Opportunity for Scalable Vehicular Internet Access On the Go
Technical report - this work was submitted to IEEE/ACM Transactions on Networking, June 2013
null
10.1109/TNET.2014.2309991
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With increasing popularity of media enabled hand-helds and their integration with the in-vehicle entertainment systems, the need for high data-rate services for mobile users on the go is evident. This ever-increasing demand of data is constantly surpassing what cellular networks can economically support. Large-scale ...
[ { "created": "Sat, 4 Jan 2014 06:22:05 GMT", "version": "v1" } ]
2016-11-15
[ [ "Zheng", "Zizhan", "" ], [ "Lu", "Zhixue", "" ], [ "Sinha", "Prasun", "" ], [ "Kumar", "Santosh", "" ] ]
With increasing popularity of media enabled hand-helds and their integration with the in-vehicle entertainment systems, the need for high data-rate services for mobile users on the go is evident. This ever-increasing demand of data is constantly surpassing what cellular networks can economically support. Large-scale Wi...
2211.07268
Jelena Vuleti\'c
Dario Stuhne and Jelena Vuletic and Marsela Car and Matko Orsag
Serial Chain Hinge Support for Soft, Robust and Effective Grasp
null
null
null
null
cs.RO
http://creativecommons.org/licenses/by/4.0/
This paper presents a serial chain hinge support, a rigid but flexible structure that improves the mechanical performance and robustness of soft-fingered grippers. Gravity can reduce the integrity of soft fingers in horizontal approach, resulting in lower maximum payload caused by a large deflection of fingers. To su...
[ { "created": "Mon, 14 Nov 2022 10:53:44 GMT", "version": "v1" } ]
2022-11-15
[ [ "Stuhne", "Dario", "" ], [ "Vuletic", "Jelena", "" ], [ "Car", "Marsela", "" ], [ "Orsag", "Matko", "" ] ]
This paper presents a serial chain hinge support, a rigid but flexible structure that improves the mechanical performance and robustness of soft-fingered grippers. Gravity can reduce the integrity of soft fingers in horizontal approach, resulting in lower maximum payload caused by a large deflection of fingers. To subs...
1410.5053
Yuichi Yoshida
Yuichi Yoshida
Gowers Norm, Function Limits, and Parameter Estimation
arXiv admin note: text overlap with arXiv:1212.3849, arXiv:1308.4108 by other authors
null
null
null
cs.CC cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Let $\{f_i:\mathbb{F}_p^i \to \{0,1\}\}$ be a sequence of functions, where $p$ is a fixed prime and $\mathbb{F}_p$ is the finite field of order $p$. The limit of the sequence can be syntactically defined using the notion of ultralimit. Inspired by the Gowers norm, we introduce a metric over limits of function sequenc...
[ { "created": "Sun, 19 Oct 2014 09:50:04 GMT", "version": "v1" }, { "created": "Thu, 26 Mar 2015 05:28:07 GMT", "version": "v2" } ]
2015-03-27
[ [ "Yoshida", "Yuichi", "" ] ]
Let $\{f_i:\mathbb{F}_p^i \to \{0,1\}\}$ be a sequence of functions, where $p$ is a fixed prime and $\mathbb{F}_p$ is the finite field of order $p$. The limit of the sequence can be syntactically defined using the notion of ultralimit. Inspired by the Gowers norm, we introduce a metric over limits of function sequences...
2112.14612
Vaibhav Bajpai
Vaibhav Bajpai, Radek Krej\v{c}\'i and Leonidas Poulopoulos
Managing Home Routers with NETCONF over TLS and NETCONF Call Home
null
null
null
null
cs.NI
http://creativecommons.org/licenses/by/4.0/
The Network Configuration (NETCONF) protocol and the associated YANG data modeling language are the foundations of contemporary network management frameworks evolving within the Internet Engineering Task Force (IETF). netopeer (a NETCONF server) and ncclient (a NETCONF client) are popular open-source projects that su...
[ { "created": "Wed, 29 Dec 2021 15:49:42 GMT", "version": "v1" } ]
2021-12-30
[ [ "Bajpai", "Vaibhav", "" ], [ "Krejčí", "Radek", "" ], [ "Poulopoulos", "Leonidas", "" ] ]
The Network Configuration (NETCONF) protocol and the associated YANG data modeling language are the foundations of contemporary network management frameworks evolving within the Internet Engineering Task Force (IETF). netopeer (a NETCONF server) and ncclient (a NETCONF client) are popular open-source projects that supp...
1709.01570
Jeffrey Uhlmann
Jeffrey Uhlmann
Entropy Control Architectures for Next-Generation Supercomputers
null
null
null
null
cs.ET
http://creativecommons.org/licenses/by/4.0/
Position paper for US strategic computing initiative.
[ { "created": "Tue, 5 Sep 2017 19:49:11 GMT", "version": "v1" } ]
2017-09-07
[ [ "Uhlmann", "Jeffrey", "" ] ]
Position paper for US strategic computing initiative.
2210.05557
Wenzhao Zheng
Chengkun Wang, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu
OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions
Source code available at: https://github.com/wangck20/OPERA
null
null
null
cs.CV cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The pretrain-finetune paradigm in modern computer vision facilitates the success of self-supervised learning, which tends to achieve better transferability than supervised learning. However, with the availability of massive labeled data, a natural question emerges: how to train a better model with both self and full ...
[ { "created": "Tue, 11 Oct 2022 15:51:31 GMT", "version": "v1" }, { "created": "Tue, 29 Nov 2022 16:13:12 GMT", "version": "v2" } ]
2022-11-30
[ [ "Wang", "Chengkun", "" ], [ "Zheng", "Wenzhao", "" ], [ "Zhu", "Zheng", "" ], [ "Zhou", "Jie", "" ], [ "Lu", "Jiwen", "" ] ]
The pretrain-finetune paradigm in modern computer vision facilitates the success of self-supervised learning, which tends to achieve better transferability than supervised learning. However, with the availability of massive labeled data, a natural question emerges: how to train a better model with both self and full su...
1010.5642
Hu Xiong
Hu Xiong, Zhong Chen
Privacy-Preserving English Auction Protocol with Round Efficiency
null
null
null
null
cs.GT cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A privacy-preserving English auction protocol with round efficiency based on a modified ring signature has been proposed in this paper. The proposed protocol has three appealing characteristic: First, it offers conditional privacy-preservation: on the one hand, the bidder is anonymous to the public, on the other hand...
[ { "created": "Wed, 27 Oct 2010 10:54:06 GMT", "version": "v1" } ]
2010-10-28
[ [ "Xiong", "Hu", "" ], [ "Chen", "Zhong", "" ] ]
A privacy-preserving English auction protocol with round efficiency based on a modified ring signature has been proposed in this paper. The proposed protocol has three appealing characteristic: First, it offers conditional privacy-preservation: on the one hand, the bidder is anonymous to the public, on the other hand, ...
0802.0483
Bernardo Huberman
Fang Wu and Bernardo A. Huberman
Popularity, Novelty and Attention
null
null
null
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We analyze the role that popularity and novelty play in attracting the attention of users to dynamic websites. We do so by determining the performance of three different strategies that can be utilized to maximize attention. The first one prioritizes novelty while the second emphasizes popularity. A third strategy lo...
[ { "created": "Mon, 4 Feb 2008 19:46:09 GMT", "version": "v1" } ]
2008-02-05
[ [ "Wu", "Fang", "" ], [ "Huberman", "Bernardo A.", "" ] ]
We analyze the role that popularity and novelty play in attracting the attention of users to dynamic websites. We do so by determining the performance of three different strategies that can be utilized to maximize attention. The first one prioritizes novelty while the second emphasizes popularity. A third strategy look...
1803.11247
Rafael Rodrigues da Silva
Rafael Rodrigues da Silva and Hai Lin
Scalable Integrated Task and Motion Planning from Signal Temporal Logic Specifications
13 pages, report
null
null
null
cs.RO cs.SY
http://creativecommons.org/licenses/by-nc-sa/4.0/
Many safety-critical systems must achieve high-level task specifications with guaranteed safety and correctness. Much recent progress towards this goal has been made through controller synthesis from signal temporal logic (STL) specifications. Existing approaches, however, either consider some a priori discretization...
[ { "created": "Thu, 29 Mar 2018 20:44:55 GMT", "version": "v1" }, { "created": "Sat, 20 Oct 2018 13:24:31 GMT", "version": "v2" } ]
2018-10-23
[ [ "da Silva", "Rafael Rodrigues", "" ], [ "Lin", "Hai", "" ] ]
Many safety-critical systems must achieve high-level task specifications with guaranteed safety and correctness. Much recent progress towards this goal has been made through controller synthesis from signal temporal logic (STL) specifications. Existing approaches, however, either consider some a priori discretization o...
2202.07138
Kebing Jin
Kebing Jin, Hankz Hankui Zhuo
Integrating AI Planning with Natural Language Processing: A Combination of Explicit and Tacit Knowledge
null
null
null
null
cs.AI cs.CL
http://creativecommons.org/licenses/by-nc-sa/4.0/
Natural language processing (NLP) aims at investigating the interactions between agents and humans, processing and analyzing large amounts of natural language data. Large-scale language models play an important role in current natural language processing. However, the challenges of explainability and complexity come ...
[ { "created": "Tue, 15 Feb 2022 02:19:09 GMT", "version": "v1" }, { "created": "Thu, 13 Apr 2023 07:05:22 GMT", "version": "v2" } ]
2023-04-14
[ [ "Jin", "Kebing", "" ], [ "Zhuo", "Hankz Hankui", "" ] ]
Natural language processing (NLP) aims at investigating the interactions between agents and humans, processing and analyzing large amounts of natural language data. Large-scale language models play an important role in current natural language processing. However, the challenges of explainability and complexity come al...
2006.15179
Nils Clausen
Nils Clausen
An Analysis of Academic Performance of University Students in Namibia
null
null
null
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Based on observations it seems that a considerable proportion of university students in Namibia need to enhance their academic performance in regard to be fully competitive in a globalised working environment. This specifically includes thorough understanding of mathematics, as it forms an integral part of modern kno...
[ { "created": "Fri, 26 Jun 2020 19:11:08 GMT", "version": "v1" } ]
2020-06-30
[ [ "Clausen", "Nils", "" ] ]
Based on observations it seems that a considerable proportion of university students in Namibia need to enhance their academic performance in regard to be fully competitive in a globalised working environment. This specifically includes thorough understanding of mathematics, as it forms an integral part of modern knowl...
1508.00023
Lav Varshney
Avhishek Chatterjee, Lav R. Varshney, and Sriram Vishwanath
Work Capacity of Freelance Markets: Fundamental Limits and Decentralized Schemes
null
null
null
null
cs.MA cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Crowdsourcing of jobs to online freelance markets is rapidly gaining popularity. Most crowdsourcing platforms are uncontrolled and offer freedom to customers and freelancers to choose each other. This works well for unskilled jobs (e.g., image classification) with no specific quality requirement since freelancers are...
[ { "created": "Fri, 31 Jul 2015 20:26:51 GMT", "version": "v1" }, { "created": "Fri, 15 Jan 2016 23:11:59 GMT", "version": "v2" } ]
2016-01-19
[ [ "Chatterjee", "Avhishek", "" ], [ "Varshney", "Lav R.", "" ], [ "Vishwanath", "Sriram", "" ] ]
Crowdsourcing of jobs to online freelance markets is rapidly gaining popularity. Most crowdsourcing platforms are uncontrolled and offer freedom to customers and freelancers to choose each other. This works well for unskilled jobs (e.g., image classification) with no specific quality requirement since freelancers are f...
1708.05133
Fan Jiang
Fan Jiang, Zhihui Hao, Xinran Liu
Deep Scene Text Detection with Connected Component Proposals
10 pages, 5 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A growing demand for natural-scene text detection has been witnessed by the computer vision community since text information plays a significant role in scene understanding and image indexing. Deep neural networks are being used due to their strong capabilities of pixel-wise classification or word localization, simil...
[ { "created": "Thu, 17 Aug 2017 04:44:03 GMT", "version": "v1" } ]
2017-08-18
[ [ "Jiang", "Fan", "" ], [ "Hao", "Zhihui", "" ], [ "Liu", "Xinran", "" ] ]
A growing demand for natural-scene text detection has been witnessed by the computer vision community since text information plays a significant role in scene understanding and image indexing. Deep neural networks are being used due to their strong capabilities of pixel-wise classification or word localization, similar...
1711.01327
Sarah Cannon
Sarah Cannon, Joshua J. Daymude, William Savoie, Ross Warkentin, Shengkai Li, Daniel I. Goldman, Dana Randall, Andrea W. Richa
Phototactic Supersmarticles
null
Artificial Life and Robotics 23:4 (2018) 459-468
10.1007/s10015-018-0473-7
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Smarticles, or smart active particles, are small robots equipped with only basic movement and sensing abilities that are incapable of rotating or displacing individually. We study the ensemble behavior of smarticles, i.e., the behavior a collective of these very simple computational elements can achieve, and how such...
[ { "created": "Fri, 3 Nov 2017 20:48:22 GMT", "version": "v1" } ]
2018-12-04
[ [ "Cannon", "Sarah", "" ], [ "Daymude", "Joshua J.", "" ], [ "Savoie", "William", "" ], [ "Warkentin", "Ross", "" ], [ "Li", "Shengkai", "" ], [ "Goldman", "Daniel I.", "" ], [ "Randall", "Dana", "" ], [ ...
Smarticles, or smart active particles, are small robots equipped with only basic movement and sensing abilities that are incapable of rotating or displacing individually. We study the ensemble behavior of smarticles, i.e., the behavior a collective of these very simple computational elements can achieve, and how such b...
2108.13980
Kimberly Ferguson-Walter
Erich Walter, Kimberly Ferguson-Walter, Ahmad Ridley
Incorporating Deception into CyberBattleSim for Autonomous Defense
Presented at 1st International Workshop on Adaptive Cyber Defense, 2021 (arXiv:2108.08476)
null
null
IJCAI-ACD/2021/108
cs.CR cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deceptive elements, including honeypots and decoys, were incorporated into the Microsoft CyberBattleSim experimentation and research platform. The defensive capabilities of the deceptive elements were tested using reinforcement learning based attackers in the provided capture the flag environment. The attacker's prog...
[ { "created": "Tue, 31 Aug 2021 17:05:02 GMT", "version": "v1" } ]
2021-09-01
[ [ "Walter", "Erich", "" ], [ "Ferguson-Walter", "Kimberly", "" ], [ "Ridley", "Ahmad", "" ] ]
Deceptive elements, including honeypots and decoys, were incorporated into the Microsoft CyberBattleSim experimentation and research platform. The defensive capabilities of the deceptive elements were tested using reinforcement learning based attackers in the provided capture the flag environment. The attacker's progre...
cs/0504061
Stergos Afantenos
Stergos D. Afantenos, Vangelis Karkaletsis, Panagiotis Stamatopoulos
Summarization from Medical Documents: A Survey
21 pages, 4 tables
Artificial Intelligence in Medicine, Volume 33, Issue 2, February 2005, Pages 157-177
10.1016/j.artmed.2004.07.017
null
cs.CL cs.IR
null
Objective: The aim of this paper is to survey the recent work in medical documents summarization. Background: During the last decade, documents summarization got increasing attention by the AI research community. More recently it also attracted the interest of the medical research community as well, due to the ...
[ { "created": "Wed, 13 Apr 2005 20:02:25 GMT", "version": "v1" } ]
2007-05-23
[ [ "Afantenos", "Stergos D.", "" ], [ "Karkaletsis", "Vangelis", "" ], [ "Stamatopoulos", "Panagiotis", "" ] ]
Objective: The aim of this paper is to survey the recent work in medical documents summarization. Background: During the last decade, documents summarization got increasing attention by the AI research community. More recently it also attracted the interest of the medical research community as well, due to the enormous...
2001.09308
Zhenfang Chen
Zhenfang Chen, Lin Ma, Wenhan Luo, Peng Tang, Kwan-Yee K. Wong
Look Closer to Ground Better: Weakly-Supervised Temporal Grounding of Sentence in Video
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we study the problem of weakly-supervised temporal grounding of sentence in video. Specifically, given an untrimmed video and a query sentence, our goal is to localize a temporal segment in the video that semantically corresponds to the query sentence, with no reliance on any temporal annotation during...
[ { "created": "Sat, 25 Jan 2020 13:07:43 GMT", "version": "v1" } ]
2020-01-28
[ [ "Chen", "Zhenfang", "" ], [ "Ma", "Lin", "" ], [ "Luo", "Wenhan", "" ], [ "Tang", "Peng", "" ], [ "Wong", "Kwan-Yee K.", "" ] ]
In this paper, we study the problem of weakly-supervised temporal grounding of sentence in video. Specifically, given an untrimmed video and a query sentence, our goal is to localize a temporal segment in the video that semantically corresponds to the query sentence, with no reliance on any temporal annotation during t...
1008.2069
Lubomir Kostal
Lubomir Kostal
Information capacity in the weak-signal approximation
11 pages, 4 figures; accepted for publication in Physical Review E
null
10.1103/PhysRevE.82.026115
null
cs.IT math.IT q-bio.NC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We derive an approximate expression for mutual information in a broad class of discrete-time stationary channels with continuous input, under the constraint of vanishing input amplitude or power. The approximation describes the input by its covariance matrix, while the channel properties are described by the Fisher i...
[ { "created": "Thu, 12 Aug 2010 08:46:13 GMT", "version": "v1" } ]
2015-05-19
[ [ "Kostal", "Lubomir", "" ] ]
We derive an approximate expression for mutual information in a broad class of discrete-time stationary channels with continuous input, under the constraint of vanishing input amplitude or power. The approximation describes the input by its covariance matrix, while the channel properties are described by the Fisher inf...
2111.09771
Liyang Chen
Liyang Chen, Zhiyong Wu, Jun Ling, Runnan Li, Xu Tan, Sheng Zhao
Transformer-S2A: Robust and Efficient Speech-to-Animation
Accepted by ICASSP 2022
null
null
null
cs.MM cs.GR cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a novel robust and efficient Speech-to-Animation (S2A) approach for synchronized facial animation generation in human-computer interaction. Compared with conventional approaches, the proposed approach utilizes phonetic posteriorgrams (PPGs) of spoken phonemes as input to ensure the cross-language and cross...
[ { "created": "Thu, 18 Nov 2021 16:09:39 GMT", "version": "v1" }, { "created": "Sat, 12 Mar 2022 11:38:05 GMT", "version": "v2" }, { "created": "Wed, 6 Apr 2022 07:22:37 GMT", "version": "v3" } ]
2022-04-07
[ [ "Chen", "Liyang", "" ], [ "Wu", "Zhiyong", "" ], [ "Ling", "Jun", "" ], [ "Li", "Runnan", "" ], [ "Tan", "Xu", "" ], [ "Zhao", "Sheng", "" ] ]
We propose a novel robust and efficient Speech-to-Animation (S2A) approach for synchronized facial animation generation in human-computer interaction. Compared with conventional approaches, the proposed approach utilizes phonetic posteriorgrams (PPGs) of spoken phonemes as input to ensure the cross-language and cross-s...
0706.1063
Matthias Brust R.
Matthias R. Brust, Steffen Rothkugel
Small Worlds: Strong Clustering in Wireless Networks
To appear in: 1st International Workshop on Localized Algorithms and Protocols for Wireless Sensor Networks (LOCALGOS 2007), 2007, IEEE Compuster Society Press
null
null
null
cs.NI cs.DC cs.DS
null
Small-worlds represent efficient communication networks that obey two distinguishing characteristics: a high clustering coefficient together with a small characteristic path length. This paper focuses on an interesting paradox, that removing links in a network can increase the overall clustering coefficient. Reckful ...
[ { "created": "Thu, 7 Jun 2007 19:42:51 GMT", "version": "v1" }, { "created": "Mon, 11 Jun 2007 05:36:04 GMT", "version": "v2" } ]
2007-06-11
[ [ "Brust", "Matthias R.", "" ], [ "Rothkugel", "Steffen", "" ] ]
Small-worlds represent efficient communication networks that obey two distinguishing characteristics: a high clustering coefficient together with a small characteristic path length. This paper focuses on an interesting paradox, that removing links in a network can increase the overall clustering coefficient. Reckful Ro...
2311.09032
Wanqi Yang
Wanqi Yang, Pengfei Chen, Kai Liu, Huxing Zhang
Nahida: In-Band Distributed Tracing with eBPF
null
null
null
null
cs.OS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Microservices are commonly used in modern cloud-native applications to achieve agility. However, the complexity of service dependencies in large-scale microservices systems can lead to anomaly propagation, making fault troubleshooting a challenge. To address this issue, distributed tracing systems have been proposed ...
[ { "created": "Wed, 15 Nov 2023 15:25:08 GMT", "version": "v1" } ]
2023-11-16
[ [ "Yang", "Wanqi", "" ], [ "Chen", "Pengfei", "" ], [ "Liu", "Kai", "" ], [ "Zhang", "Huxing", "" ] ]
Microservices are commonly used in modern cloud-native applications to achieve agility. However, the complexity of service dependencies in large-scale microservices systems can lead to anomaly propagation, making fault troubleshooting a challenge. To address this issue, distributed tracing systems have been proposed to...
1711.08659
Tao Hu
Tao Hu, Julong Lan, Jianhui Zhang, Wei Zhao
EASM: Efficiency-Aware Switch Migration for Balancing Controller Loads in Software-Defined Networking
16 pages
null
null
null
cs.NI cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Distributed multi-controller deployment is a promising method to achieve a scalable and reliable control plane of Software-Defined Networking (SDN). However, it brings a new challenge for balancing loads on the distributed controllers as the network traffic dynamically changes. The unbalanced load distribution on the...
[ { "created": "Thu, 23 Nov 2017 11:36:21 GMT", "version": "v1" }, { "created": "Fri, 26 Jan 2018 15:23:31 GMT", "version": "v2" } ]
2018-01-29
[ [ "Hu", "Tao", "" ], [ "Lan", "Julong", "" ], [ "Zhang", "Jianhui", "" ], [ "Zhao", "Wei", "" ] ]
Distributed multi-controller deployment is a promising method to achieve a scalable and reliable control plane of Software-Defined Networking (SDN). However, it brings a new challenge for balancing loads on the distributed controllers as the network traffic dynamically changes. The unbalanced load distribution on the c...
2210.04484
Felix Schuhknecht
Felix Schuhknecht and Simon J\"orz
The Easiest Way of Turning your Relational Database into a Blockchain -- and the Cost of Doing So
null
null
null
null
cs.DB
http://creativecommons.org/licenses/by-sa/4.0/
Blockchain systems essentially consist of two levels: The network level has the responsibility of distributing an ordered stream of transactions to all nodes of the network in exactly the same way, even in the presence of a certain amount of malicious parties (byzantine fault tolerance). On the node level, each node ...
[ { "created": "Mon, 10 Oct 2022 08:16:33 GMT", "version": "v1" } ]
2022-10-11
[ [ "Schuhknecht", "Felix", "" ], [ "Jörz", "Simon", "" ] ]
Blockchain systems essentially consist of two levels: The network level has the responsibility of distributing an ordered stream of transactions to all nodes of the network in exactly the same way, even in the presence of a certain amount of malicious parties (byzantine fault tolerance). On the node level, each node th...
1007.1473
Xinyu Xing
Xinyu Xing, Jianxun Dang, Richard Han, Xue Liu, Shivakant Mishra
Intrusions into Privacy in Video Chat Environments: Attacks and Countermeasures
8 pages, submitted to WPES
null
null
Technical Report CU-CS 1069-10
cs.CR cs.NI
http://creativecommons.org/licenses/by/3.0/
Video chat systems such as Chatroulette have become increasingly popular as a way to meet and converse one-on-one via video and audio with other users online in an open and interactive manner. At the same time, security and privacy concerns inherent in such communication have been little explored. This paper presents...
[ { "created": "Thu, 8 Jul 2010 21:38:54 GMT", "version": "v1" } ]
2010-07-12
[ [ "Xing", "Xinyu", "" ], [ "Dang", "Jianxun", "" ], [ "Han", "Richard", "" ], [ "Liu", "Xue", "" ], [ "Mishra", "Shivakant", "" ] ]
Video chat systems such as Chatroulette have become increasingly popular as a way to meet and converse one-on-one via video and audio with other users online in an open and interactive manner. At the same time, security and privacy concerns inherent in such communication have been little explored. This paper presents o...
1808.08316
Tu Nguyen
Tu Nguyen, Tuan Tran and Wolfgang Nejdl
A Trio Neural Model for Dynamic Entity Relatedness Ranking
In Proceedings of CoNLL 2018
null
null
null
cs.IR cs.CL cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Measuring entity relatedness is a fundamental task for many natural language processing and information retrieval applications. Prior work often studies entity relatedness in static settings and an unsupervised manner. However, entities in real-world are often involved in many different relationships, consequently en...
[ { "created": "Fri, 24 Aug 2018 21:29:53 GMT", "version": "v1" }, { "created": "Wed, 29 Aug 2018 22:00:03 GMT", "version": "v2" }, { "created": "Fri, 7 Sep 2018 00:38:54 GMT", "version": "v3" }, { "created": "Mon, 12 Jun 2023 20:49:49 GMT", "version": "v4" } ]
2023-06-14
[ [ "Nguyen", "Tu", "" ], [ "Tran", "Tuan", "" ], [ "Nejdl", "Wolfgang", "" ] ]
Measuring entity relatedness is a fundamental task for many natural language processing and information retrieval applications. Prior work often studies entity relatedness in static settings and an unsupervised manner. However, entities in real-world are often involved in many different relationships, consequently enti...
1003.4068
William Jackson
Pratima Gautam, K. R. Pardasani
A Novel Approach For Discovery Multi Level Fuzzy Association Rule Mining
null
Journal of Computing, Volume 2, Issue 3, March 2010, https://sites.google.com/site/journalofcomputing/
null
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Finding multilevel association rules in transaction databases is most commonly seen in is widely used in data mining. In this paper, we present a model of mining multilevel association rules which satisfies the different minimum support at each level, we have employed fuzzy set concepts, multi-level taxonomy and diff...
[ { "created": "Mon, 22 Mar 2010 05:38:24 GMT", "version": "v1" } ]
2010-03-23
[ [ "Gautam", "Pratima", "" ], [ "Pardasani", "K. R.", "" ] ]
Finding multilevel association rules in transaction databases is most commonly seen in is widely used in data mining. In this paper, we present a model of mining multilevel association rules which satisfies the different minimum support at each level, we have employed fuzzy set concepts, multi-level taxonomy and differ...
1904.05644
Ning Tan
Yun Jiang, Ning Tan, Tingting Peng, Hai Zhang
Retinal Vessels Segmentation Based on Dilated Multi-Scale Convolutional Neural Network
null
null
null
null
cs.CV eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Accurate segmentation of retinal vessels is a basic step in Diabetic retinopathy(DR) detection. Most methods based on deep convolutional neural network (DCNN) have small receptive fields, and hence they are unable to capture global context information of larger regions, with difficult to identify lesions. The final s...
[ { "created": "Thu, 11 Apr 2019 11:47:58 GMT", "version": "v1" } ]
2019-04-12
[ [ "Jiang", "Yun", "" ], [ "Tan", "Ning", "" ], [ "Peng", "Tingting", "" ], [ "Zhang", "Hai", "" ] ]
Accurate segmentation of retinal vessels is a basic step in Diabetic retinopathy(DR) detection. Most methods based on deep convolutional neural network (DCNN) have small receptive fields, and hence they are unable to capture global context information of larger regions, with difficult to identify lesions. The final seg...
2303.06424
Jiahui Zhang
Jiahui Zhang, Fangneng Zhan, Christian Theobalt, Shijian Lu
Regularized Vector Quantization for Tokenized Image Synthesis
Accepted to CVPR 2023
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Quantizing images into discrete representations has been a fundamental problem in unified generative modeling. Predominant approaches learn the discrete representation either in a deterministic manner by selecting the best-matching token or in a stochastic manner by sampling from a predicted distribution. However, de...
[ { "created": "Sat, 11 Mar 2023 15:20:54 GMT", "version": "v1" }, { "created": "Sat, 14 Oct 2023 06:17:12 GMT", "version": "v2" } ]
2023-10-17
[ [ "Zhang", "Jiahui", "" ], [ "Zhan", "Fangneng", "" ], [ "Theobalt", "Christian", "" ], [ "Lu", "Shijian", "" ] ]
Quantizing images into discrete representations has been a fundamental problem in unified generative modeling. Predominant approaches learn the discrete representation either in a deterministic manner by selecting the best-matching token or in a stochastic manner by sampling from a predicted distribution. However, dete...
2304.04827
Tom Hanika
Johannes Hirth and Viktoria Horn and Gerd Stumme and Tom Hanika
Ordinal Motifs in Lattices
null
null
10.1016/j.ins.2023.120009
null
cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Lattices are a commonly used structure for the representation and analysis of relational and ontological knowledge. In particular, the analysis of these requires a decomposition of a large and high-dimensional lattice into a set of understandably large parts. With the present work we propose /ordinal motifs/ as analy...
[ { "created": "Mon, 10 Apr 2023 19:25:36 GMT", "version": "v1" } ]
2023-12-29
[ [ "Hirth", "Johannes", "" ], [ "Horn", "Viktoria", "" ], [ "Stumme", "Gerd", "" ], [ "Hanika", "Tom", "" ] ]
Lattices are a commonly used structure for the representation and analysis of relational and ontological knowledge. In particular, the analysis of these requires a decomposition of a large and high-dimensional lattice into a set of understandably large parts. With the present work we propose /ordinal motifs/ as analyti...
2306.14087
Cole Wyeth
Cole Wyeth and Carl Sturtivant
A Circuit Complexity Formulation of Algorithmic Information Theory
8 pages, no figures
null
null
null
cs.LG cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Inspired by Solomonoffs theory of inductive inference, we propose a prior based on circuit complexity. There are several advantages to this approach. First, it relies on a complexity measure that does not depend on the choice of UTM. There is one universal definition for Boolean circuits involving an universal operat...
[ { "created": "Sun, 25 Jun 2023 01:30:37 GMT", "version": "v1" } ]
2023-06-27
[ [ "Wyeth", "Cole", "" ], [ "Sturtivant", "Carl", "" ] ]
Inspired by Solomonoffs theory of inductive inference, we propose a prior based on circuit complexity. There are several advantages to this approach. First, it relies on a complexity measure that does not depend on the choice of UTM. There is one universal definition for Boolean circuits involving an universal operatio...
2201.08095
Stanislav Abaimov
Iuliia Ganskaia and Stanislav Abaimov
Before and After: Machine learning for perioperative patient care
null
null
null
null
cs.CY cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
For centuries nursing has been known as a job that requires complex manual operations, that cannot be automated or replaced by any machinery. All the devices and techniques have been invented only to support, but never fully replace, a person with knowledge and expert intuition. With the rise of Artificial Intelligen...
[ { "created": "Thu, 20 Jan 2022 09:55:12 GMT", "version": "v1" } ]
2022-01-21
[ [ "Ganskaia", "Iuliia", "" ], [ "Abaimov", "Stanislav", "" ] ]
For centuries nursing has been known as a job that requires complex manual operations, that cannot be automated or replaced by any machinery. All the devices and techniques have been invented only to support, but never fully replace, a person with knowledge and expert intuition. With the rise of Artificial Intelligence...
1206.1430
Yogita Khatri
Yogita Khatri
Distance Based Asynchronous Recovery Approach in Mobile Computing Environment
7 pages, 1figure
null
null
null
cs.DB cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A mobile computing system is a distributed system in which at least one of the processes is mobile. They are constrained by lack of stable storage, low network bandwidth, mobility, frequent disconnection and limited battery life. Checkpointing is one of the commonly used techniques to provide fault tolerance in mobil...
[ { "created": "Thu, 7 Jun 2012 09:44:13 GMT", "version": "v1" } ]
2012-06-08
[ [ "Khatri", "Yogita", "" ] ]
A mobile computing system is a distributed system in which at least one of the processes is mobile. They are constrained by lack of stable storage, low network bandwidth, mobility, frequent disconnection and limited battery life. Checkpointing is one of the commonly used techniques to provide fault tolerance in mobile ...
2402.11957
Yutian Chen
Yutian Chen, Shi Guo, Fangzheng Yu, Feng Zhang, Jinwei Gu and Tianfan Xue
Event-Based Motion Magnification
Accepted to ECCV 2024
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Detecting and magnifying imperceptible high-frequency motions in real-world scenarios has substantial implications for industrial and medical applications. These motions are characterized by small amplitudes and high frequencies. Traditional motion magnification methods rely on costly high-speed cameras or active lig...
[ { "created": "Mon, 19 Feb 2024 08:59:58 GMT", "version": "v1" }, { "created": "Tue, 23 Jul 2024 13:22:58 GMT", "version": "v2" } ]
2024-07-24
[ [ "Chen", "Yutian", "" ], [ "Guo", "Shi", "" ], [ "Yu", "Fangzheng", "" ], [ "Zhang", "Feng", "" ], [ "Gu", "Jinwei", "" ], [ "Xue", "Tianfan", "" ] ]
Detecting and magnifying imperceptible high-frequency motions in real-world scenarios has substantial implications for industrial and medical applications. These motions are characterized by small amplitudes and high frequencies. Traditional motion magnification methods rely on costly high-speed cameras or active light...
2302.14827
Carl Pearson
Carl Pearson
Interconnect Bandwidth Heterogeneity on AMD MI250x and Infinity Fabric
4 pages
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Demand for low-latency and high-bandwidth data transfer between GPUs has driven the development of multi-GPU nodes. Physical constraints on the manufacture and integration of such systems has yielded heterogeneous intra-node interconnects, where not all devices are connected equally. The next generation of supercompu...
[ { "created": "Tue, 28 Feb 2023 18:21:56 GMT", "version": "v1" } ]
2023-03-01
[ [ "Pearson", "Carl", "" ] ]
Demand for low-latency and high-bandwidth data transfer between GPUs has driven the development of multi-GPU nodes. Physical constraints on the manufacture and integration of such systems has yielded heterogeneous intra-node interconnects, where not all devices are connected equally. The next generation of supercomputi...
2210.10956
Zefan Yang
Zefan Yang, Di Lin, Dong Ni, and Yi Wang
Non-Iterative Scribble-Supervised Learning with Pacing Pseudo-Masks for Medical Image Segmentation
12 pages, 8 figures
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Scribble-supervised medical image segmentation tackles the limitation of sparse masks. Conventional approaches alternate between: labeling pseudo-masks and optimizing network parameters. However, such iterative two-stage paradigm is unwieldy and could be trapped in poor local optima since the networks undesirably reg...
[ { "created": "Thu, 20 Oct 2022 01:57:44 GMT", "version": "v1" }, { "created": "Thu, 28 Sep 2023 20:09:59 GMT", "version": "v2" } ]
2023-10-02
[ [ "Yang", "Zefan", "" ], [ "Lin", "Di", "" ], [ "Ni", "Dong", "" ], [ "Wang", "Yi", "" ] ]
Scribble-supervised medical image segmentation tackles the limitation of sparse masks. Conventional approaches alternate between: labeling pseudo-masks and optimizing network parameters. However, such iterative two-stage paradigm is unwieldy and could be trapped in poor local optima since the networks undesirably regre...
2401.10042
Zhong Sun
Lunshuai Pan, Pushen Zuo, Yubiao Luo, Zhong Sun, Ru Huang
BlockAMC: Scalable In-Memory Analog Matrix Computing for Solving Linear Systems
This paper has been accepted to the conference DATE 2024
null
null
null
cs.AR cs.DC
http://creativecommons.org/licenses/by-nc-sa/4.0/
Recently, in-memory analog matrix computing (AMC) with nonvolatile resistive memory has been developed for solving matrix problems in one step, e.g., matrix inversion of solving linear systems. However, the analog nature sets up a barrier to the scalability of AMC, due to the limits on the manufacturability and yield...
[ { "created": "Thu, 18 Jan 2024 15:07:50 GMT", "version": "v1" } ]
2024-01-19
[ [ "Pan", "Lunshuai", "" ], [ "Zuo", "Pushen", "" ], [ "Luo", "Yubiao", "" ], [ "Sun", "Zhong", "" ], [ "Huang", "Ru", "" ] ]
Recently, in-memory analog matrix computing (AMC) with nonvolatile resistive memory has been developed for solving matrix problems in one step, e.g., matrix inversion of solving linear systems. However, the analog nature sets up a barrier to the scalability of AMC, due to the limits on the manufacturability and yield o...
1409.2329
Wojciech Zaremba
Wojciech Zaremba, Ilya Sutskever, Oriol Vinyals
Recurrent Neural Network Regularization
null
null
null
null
cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a simple regularization technique for Recurrent Neural Networks (RNNs) with Long Short-Term Memory (LSTM) units. Dropout, the most successful technique for regularizing neural networks, does not work well with RNNs and LSTMs. In this paper, we show how to correctly apply dropout to LSTMs, and show that it ...
[ { "created": "Mon, 8 Sep 2014 13:08:00 GMT", "version": "v1" }, { "created": "Thu, 11 Sep 2014 17:08:13 GMT", "version": "v2" }, { "created": "Mon, 3 Nov 2014 05:19:23 GMT", "version": "v3" }, { "created": "Sun, 21 Dec 2014 03:13:05 GMT", "version": "v4" }, { "cre...
2015-02-20
[ [ "Zaremba", "Wojciech", "" ], [ "Sutskever", "Ilya", "" ], [ "Vinyals", "Oriol", "" ] ]
We present a simple regularization technique for Recurrent Neural Networks (RNNs) with Long Short-Term Memory (LSTM) units. Dropout, the most successful technique for regularizing neural networks, does not work well with RNNs and LSTMs. In this paper, we show how to correctly apply dropout to LSTMs, and show that it su...
1909.03360
Yunlong Yu
Yunlong Yu, Zhong Ji, Zhongfei Zhang, Jungong Han
Episode-based Prototype Generating Network for Zero-Shot Learning
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce a simple yet effective episode-based training framework for zero-shot learning (ZSL), where the learning system requires to recognize unseen classes given only the corresponding class semantics. During training, the model is trained within a collection of episodes, each of which is designed to simulate a...
[ { "created": "Sun, 8 Sep 2019 01:06:15 GMT", "version": "v1" }, { "created": "Thu, 2 Apr 2020 03:21:04 GMT", "version": "v2" } ]
2020-04-03
[ [ "Yu", "Yunlong", "" ], [ "Ji", "Zhong", "" ], [ "Zhang", "Zhongfei", "" ], [ "Han", "Jungong", "" ] ]
We introduce a simple yet effective episode-based training framework for zero-shot learning (ZSL), where the learning system requires to recognize unseen classes given only the corresponding class semantics. During training, the model is trained within a collection of episodes, each of which is designed to simulate a z...
1807.10268
Andrzej Kucik
Andrzej Stanis{\l}aw Kucik, Konstantin Korovin
Premise selection with neural networks and distributed representation of features
null
null
null
null
cs.AI cs.LG cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present the problem of selecting relevant premises for a proof of a given statement. When stated as a binary classification task for pairs (conjecture, axiom), it can be efficiently solved using artificial neural networks. The key difference between our advance to solve this problem and previous approaches is the ...
[ { "created": "Thu, 26 Jul 2018 17:54:58 GMT", "version": "v1" } ]
2018-07-27
[ [ "Kucik", "Andrzej Stanisław", "" ], [ "Korovin", "Konstantin", "" ] ]
We present the problem of selecting relevant premises for a proof of a given statement. When stated as a binary classification task for pairs (conjecture, axiom), it can be efficiently solved using artificial neural networks. The key difference between our advance to solve this problem and previous approaches is the us...
1709.09014
Reza Yazdanpanah Abdolmalaki
Reza Yazdanpanah Abdolmalaki
Implementation of Fuzzy Inference Engine for equilibrium and roll-angle tracking of riderless bicycle
Accepted (To be Published) in 5th IEEE International Conference on Robotics and Mechatronics
null
null
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, a Fuzzy Inference System (FIS) is fabricated on a riderless bicycle. The Fuzzy Inference System is based on a rule base inherited from human experience of bicycle riding. The steady turning motion and roll-angle tracking controls for the riderless bicycle were achieved by using fuzzy concept. Collectio...
[ { "created": "Tue, 26 Sep 2017 13:47:46 GMT", "version": "v1" } ]
2017-09-27
[ [ "Abdolmalaki", "Reza Yazdanpanah", "" ] ]
In this paper, a Fuzzy Inference System (FIS) is fabricated on a riderless bicycle. The Fuzzy Inference System is based on a rule base inherited from human experience of bicycle riding. The steady turning motion and roll-angle tracking controls for the riderless bicycle were achieved by using fuzzy concept. Collection ...
2403.02630
Hongyu Zhang
Hongyu Zhang, Dongyi Zheng, Lin Zhong, Xu Yang, Jiyuan Feng, Yunqing Feng, Qing Liao
FedHCDR: Federated Cross-Domain Recommendation with Hypergraph Signal Decoupling
16 pages, 5 figures
null
null
null
cs.LG cs.IR cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In recent years, Cross-Domain Recommendation (CDR) has drawn significant attention, which utilizes user data from multiple domains to enhance the recommendation performance. However, current CDR methods require sharing user data across domains, thereby violating the General Data Protection Regulation (GDPR). Conseque...
[ { "created": "Tue, 5 Mar 2024 03:40:39 GMT", "version": "v1" }, { "created": "Wed, 6 Mar 2024 06:46:52 GMT", "version": "v2" }, { "created": "Sat, 1 Jun 2024 03:57:41 GMT", "version": "v3" }, { "created": "Mon, 10 Jun 2024 14:57:11 GMT", "version": "v4" } ]
2024-06-11
[ [ "Zhang", "Hongyu", "" ], [ "Zheng", "Dongyi", "" ], [ "Zhong", "Lin", "" ], [ "Yang", "Xu", "" ], [ "Feng", "Jiyuan", "" ], [ "Feng", "Yunqing", "" ], [ "Liao", "Qing", "" ] ]
In recent years, Cross-Domain Recommendation (CDR) has drawn significant attention, which utilizes user data from multiple domains to enhance the recommendation performance. However, current CDR methods require sharing user data across domains, thereby violating the General Data Protection Regulation (GDPR). Consequent...