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2005.01807
Nitin Rathi
Nitin Rathi, Gopalakrishnan Srinivasan, Priyadarshini Panda, Kaushik Roy
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation
International Conference on Learning Representations (ICLR), 2020 https://openreview.net/forum?id=B1xSperKvH&noteId=B1xSperKvH
null
null
null
cs.LG cs.CV stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Spiking Neural Networks (SNNs) operate with asynchronous discrete events (or spikes) which can potentially lead to higher energy-efficiency in neuromorphic hardware implementations. Many works have shown that an SNN for inference can be formed by copying the weights from a trained Artificial Neural Network (ANN) and ...
[ { "created": "Mon, 4 May 2020 19:30:43 GMT", "version": "v1" } ]
2020-05-06
[ [ "Rathi", "Nitin", "" ], [ "Srinivasan", "Gopalakrishnan", "" ], [ "Panda", "Priyadarshini", "" ], [ "Roy", "Kaushik", "" ] ]
Spiking Neural Networks (SNNs) operate with asynchronous discrete events (or spikes) which can potentially lead to higher energy-efficiency in neuromorphic hardware implementations. Many works have shown that an SNN for inference can be formed by copying the weights from a trained Artificial Neural Network (ANN) and se...
2106.04399
Emmanuel Bengio
Emmanuel Bengio, Moksh Jain, Maksym Korablyov, Doina Precup, Yoshua Bengio
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation
Accepted at NeurIPS 2021
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
This paper is about the problem of learning a stochastic policy for generating an object (like a molecular graph) from a sequence of actions, such that the probability of generating an object is proportional to a given positive reward for that object. Whereas standard return maximization tends to converge to a single...
[ { "created": "Tue, 8 Jun 2021 14:21:10 GMT", "version": "v1" }, { "created": "Fri, 19 Nov 2021 14:50:32 GMT", "version": "v2" } ]
2021-11-22
[ [ "Bengio", "Emmanuel", "" ], [ "Jain", "Moksh", "" ], [ "Korablyov", "Maksym", "" ], [ "Precup", "Doina", "" ], [ "Bengio", "Yoshua", "" ] ]
This paper is about the problem of learning a stochastic policy for generating an object (like a molecular graph) from a sequence of actions, such that the probability of generating an object is proportional to a given positive reward for that object. Whereas standard return maximization tends to converge to a single r...
1711.10690
Yi Gu
Yi Gu and Huaiguang Jiang and Jun Jason Zhang and Yingchen Zhang and Eduard Muljadi and Francisco J.Solis
Load Forecasting Based Distribution System Network Reconfiguration-A Distributed Data-Driven Approach
5 pages, preprint for Asilomar Conference on Signals, Systems, and Computers 2017
null
null
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, a short-term load forecasting approach based network reconfiguration is proposed in a parallel manner. Specifically, a support vector regression (SVR) based short-term load forecasting approach is designed to provide an accurate load prediction and benefit the network reconfiguration. Because of the no...
[ { "created": "Wed, 29 Nov 2017 06:01:02 GMT", "version": "v1" } ]
2017-11-30
[ [ "Gu", "Yi", "" ], [ "Jiang", "Huaiguang", "" ], [ "Zhang", "Jun Jason", "" ], [ "Zhang", "Yingchen", "" ], [ "Muljadi", "Eduard", "" ], [ "Solis", "Francisco J.", "" ] ]
In this paper, a short-term load forecasting approach based network reconfiguration is proposed in a parallel manner. Specifically, a support vector regression (SVR) based short-term load forecasting approach is designed to provide an accurate load prediction and benefit the network reconfiguration. Because of the nonc...
1908.11298
Tao Wen
Tao Wen and Yong Deng
Identification of influencers in complex networks by local information dimensionality
null
Information Sciences 2019
10.1016/j.ins.2019.10.003
null
cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The identification of influential spreaders in complex networks is a popular topic in studies of network characteristics. Many centrality measures have been proposed to address this problem, but most have limitations. In this paper, a method for identifying influencers in complex networks via the local information di...
[ { "created": "Thu, 29 Aug 2019 15:33:05 GMT", "version": "v1" }, { "created": "Sun, 6 Oct 2019 03:40:09 GMT", "version": "v2" } ]
2019-10-08
[ [ "Wen", "Tao", "" ], [ "Deng", "Yong", "" ] ]
The identification of influential spreaders in complex networks is a popular topic in studies of network characteristics. Many centrality measures have been proposed to address this problem, but most have limitations. In this paper, a method for identifying influencers in complex networks via the local information dime...
2009.06573
Runze Su
Runze Su, Fei Tao, Xudong Liu, Haoran Wei, Xiaorong Mei, Zhiyao Duan, Lei Yuan, Ji Liu, Yuying Xie
Themes Informed Audio-visual Correspondence Learning
Submitting to ICASSP 2021
null
null
null
cs.AI cs.MM stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The applications of short-term user-generated video (UGV), such as Snapchat, and Youtube short-term videos, booms recently, raising lots of multimodal machine learning tasks. Among them, learning the correspondence between audio and visual information from videos is a challenging one. Most previous work of the audio-...
[ { "created": "Mon, 14 Sep 2020 17:03:04 GMT", "version": "v1" }, { "created": "Mon, 19 Oct 2020 06:40:40 GMT", "version": "v2" } ]
2020-10-20
[ [ "Su", "Runze", "" ], [ "Tao", "Fei", "" ], [ "Liu", "Xudong", "" ], [ "Wei", "Haoran", "" ], [ "Mei", "Xiaorong", "" ], [ "Duan", "Zhiyao", "" ], [ "Yuan", "Lei", "" ], [ "Liu", "Ji", "" ]...
The applications of short-term user-generated video (UGV), such as Snapchat, and Youtube short-term videos, booms recently, raising lots of multimodal machine learning tasks. Among them, learning the correspondence between audio and visual information from videos is a challenging one. Most previous work of the audio-vi...
2104.11230
Jiajie Wu
Jiajie Wu
Literature review on vulnerability detection using NLP technology
null
null
null
null
cs.CR cs.AI cs.SE
http://creativecommons.org/licenses/by/4.0/
Vulnerability detection has always been the most important task in the field of software security. With the development of technology, in the face of massive source code, automated analysis and detection of vulnerabilities has become a current research hotspot. For special text files such as source code, using some o...
[ { "created": "Fri, 23 Apr 2021 03:16:51 GMT", "version": "v1" } ]
2021-04-26
[ [ "Wu", "Jiajie", "" ] ]
Vulnerability detection has always been the most important task in the field of software security. With the development of technology, in the face of massive source code, automated analysis and detection of vulnerabilities has become a current research hotspot. For special text files such as source code, using some of ...
1904.03540
Rokas Volkovas
Rokas Volkovas, Michael Fairbank, John Woodward, Simon Lucas
Mek: Mechanics Prototyping Tool for 2D Tile-Based Turn-Based Deterministic Games
null
null
null
null
cs.PL cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
There are few digital tools to help designers create game mechanics. A general language to express game mechanics is necessary for rapid game design iteration. The first iteration of a mechanics-focused language, together with its interfacing tool, are introduced in this paper. The language is restricted to two-dimen...
[ { "created": "Sat, 6 Apr 2019 22:09:53 GMT", "version": "v1" } ]
2019-04-09
[ [ "Volkovas", "Rokas", "" ], [ "Fairbank", "Michael", "" ], [ "Woodward", "John", "" ], [ "Lucas", "Simon", "" ] ]
There are few digital tools to help designers create game mechanics. A general language to express game mechanics is necessary for rapid game design iteration. The first iteration of a mechanics-focused language, together with its interfacing tool, are introduced in this paper. The language is restricted to two-dimensi...
2102.11822
Navid Reyhanian
Navid Reyhanian, Jarvis Haupt
Online Stochastic Gradient Descent Learns Linear Dynamical Systems from A Single Trajectory
null
null
null
null
cs.LG cs.SY eess.SP eess.SY
http://creativecommons.org/licenses/by/4.0/
This work investigates the problem of estimating the weight matrices of a stable time-invariant linear dynamical system from a single sequence of noisy measurements. We show that if the unknown weight matrices describing the system are in Brunovsky canonical form, we can efficiently estimate the ground truth unknown ...
[ { "created": "Tue, 23 Feb 2021 17:48:39 GMT", "version": "v1" } ]
2021-02-24
[ [ "Reyhanian", "Navid", "" ], [ "Haupt", "Jarvis", "" ] ]
This work investigates the problem of estimating the weight matrices of a stable time-invariant linear dynamical system from a single sequence of noisy measurements. We show that if the unknown weight matrices describing the system are in Brunovsky canonical form, we can efficiently estimate the ground truth unknown ma...
2403.17479
Morteza Zakeri-Nasrabadi
Morteza Zakeri-Nasrabadi and Saeed Parsa
Natural Language Requirements Testability Measurement Based on Requirement Smells
45 pages, 16 figures, and 13 tables; submitted as a journal paper
null
null
null
cs.SE cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
Requirements form the basis for defining software systems' obligations and tasks. Testable requirements help prevent failures, reduce maintenance costs, and make it easier to perform acceptance tests. However, despite the importance of measuring and quantifying requirements testability, no automatic approach for meas...
[ { "created": "Tue, 26 Mar 2024 08:19:29 GMT", "version": "v1" } ]
2024-03-27
[ [ "Zakeri-Nasrabadi", "Morteza", "" ], [ "Parsa", "Saeed", "" ] ]
Requirements form the basis for defining software systems' obligations and tasks. Testable requirements help prevent failures, reduce maintenance costs, and make it easier to perform acceptance tests. However, despite the importance of measuring and quantifying requirements testability, no automatic approach for measur...
2308.02558
Vasant Dhar
Vasant Dhar
The Paradigm Shifts in Artificial Intelligence
14 pages, 1 figure, 1 table
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
Kuhn's framework of scientific progress (Kuhn, 1962) provides a useful framing of the paradigm shifts that have occurred in Artificial Intelligence over the last 60 years. The framework is also useful in understanding what is arguably a new paradigm shift in AI, signaled by the emergence of large pre-trained systems ...
[ { "created": "Wed, 2 Aug 2023 19:38:24 GMT", "version": "v1" } ]
2023-08-08
[ [ "Dhar", "Vasant", "" ] ]
Kuhn's framework of scientific progress (Kuhn, 1962) provides a useful framing of the paradigm shifts that have occurred in Artificial Intelligence over the last 60 years. The framework is also useful in understanding what is arguably a new paradigm shift in AI, signaled by the emergence of large pre-trained systems su...
2107.11978
Yuqian Fu
Yuqian Fu, Yanwei Fu, Yu-Gang Jiang
Meta-FDMixup: Cross-Domain Few-Shot Learning Guided by Labeled Target Data
Accepted by ACM Multimedia 2021
null
10.1109/TIP.2022.3219237
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A recent study finds that existing few-shot learning methods, trained on the source domain, fail to generalize to the novel target domain when a domain gap is observed. This motivates the task of Cross-Domain Few-Shot Learning (CD-FSL). In this paper, we realize that the labeled target data in CD-FSL has not been lev...
[ { "created": "Mon, 26 Jul 2021 06:15:45 GMT", "version": "v1" } ]
2022-11-30
[ [ "Fu", "Yuqian", "" ], [ "Fu", "Yanwei", "" ], [ "Jiang", "Yu-Gang", "" ] ]
A recent study finds that existing few-shot learning methods, trained on the source domain, fail to generalize to the novel target domain when a domain gap is observed. This motivates the task of Cross-Domain Few-Shot Learning (CD-FSL). In this paper, we realize that the labeled target data in CD-FSL has not been lever...
2211.09761
Piotr Nawrot
Piotr Nawrot, Jan Chorowski, Adrian {\L}a\'ncucki, Edoardo M. Ponti
Efficient Transformers with Dynamic Token Pooling
null
Proceedings of the 61st (Toronto 2023) Annual Meeting of the Association for Computational Linguistics (Volume 1 Long Papers) Pages 6403 to 6417
10.18653/v1/2023.acl-long.353
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Transformers achieve unrivalled performance in modelling language, but remain inefficient in terms of memory and time complexity. A possible remedy is to reduce the sequence length in the intermediate layers by pooling fixed-length segments of tokens. Nevertheless, natural units of meaning, such as words or phrases, ...
[ { "created": "Thu, 17 Nov 2022 18:39:23 GMT", "version": "v1" }, { "created": "Wed, 24 May 2023 17:32:56 GMT", "version": "v2" } ]
2023-10-25
[ [ "Nawrot", "Piotr", "" ], [ "Chorowski", "Jan", "" ], [ "Łańcucki", "Adrian", "" ], [ "Ponti", "Edoardo M.", "" ] ]
Transformers achieve unrivalled performance in modelling language, but remain inefficient in terms of memory and time complexity. A possible remedy is to reduce the sequence length in the intermediate layers by pooling fixed-length segments of tokens. Nevertheless, natural units of meaning, such as words or phrases, di...
2104.08157
Robin Tu
Robin Tu, Alexander H. Foss, Sihai D. Zhao
Capturing patterns of variation unique to a specific dataset
null
null
null
null
cs.LG stat.ME
http://creativecommons.org/licenses/by/4.0/
Capturing patterns of variation present in a dataset is important in exploratory data analysis and unsupervised learning. Contrastive dimension reduction methods, such as contrastive principal component analysis (cPCA), find patterns unique to a target dataset of interest by contrasting with a carefully chosen backgr...
[ { "created": "Fri, 16 Apr 2021 15:07:32 GMT", "version": "v1" } ]
2021-04-19
[ [ "Tu", "Robin", "" ], [ "Foss", "Alexander H.", "" ], [ "Zhao", "Sihai D.", "" ] ]
Capturing patterns of variation present in a dataset is important in exploratory data analysis and unsupervised learning. Contrastive dimension reduction methods, such as contrastive principal component analysis (cPCA), find patterns unique to a target dataset of interest by contrasting with a carefully chosen backgrou...
1912.10634
EPTCS
Julien Brunel (ONERA DTIS and Universit\'e f\'ed\'erale de Toulouse, France), David Chemouil (ONERA DTIS and Universit\'e f\'ed\'erale de Toulouse, France), Alcino Cunha (INESC TEC and Universidade do Minho, Portugal), Nuno Macedo (INESC TEC and Universidade do Minho, Portugal)
Simulation under Arbitrary Temporal Logic Constraints
In Proceedings F-IDE 2019, arXiv:1912.09611
EPTCS 310, 2019, pp. 63-69
10.4204/EPTCS.310.7
null
cs.SE cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Most model checkers provide a useful simulation mode, that allows users to explore the set of possible behaviours by interactively picking at each state which event to execute next. Traditionally this simulation mode cannot take into consideration additional temporal logic constraints, such as arbitrary fairness rest...
[ { "created": "Mon, 23 Dec 2019 05:41:51 GMT", "version": "v1" } ]
2019-12-24
[ [ "Brunel", "Julien", "", "ONERA DTIS and Université fédérale de Toulouse,\n France" ], [ "Chemouil", "David", "", "ONERA DTIS and Université fédérale de\n Toulouse, France" ], [ "Cunha", "Alcino", "", "INESC TEC and Universidade do Minho,\n Portugal" ], ...
Most model checkers provide a useful simulation mode, that allows users to explore the set of possible behaviours by interactively picking at each state which event to execute next. Traditionally this simulation mode cannot take into consideration additional temporal logic constraints, such as arbitrary fairness restri...
2305.10661
Yitong Li
Yitong Li, Chang Liu, Jie Ma
Scribble-Supervised Target Extraction Method Based on Inner Structure-Constraint for Remote Sensing Images
5 pages, 4 figures, 1 table
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Weakly supervised learning based on scribble annotations in target extraction of remote sensing images has drawn much interest due to scribbles' flexibility in denoting winding objects and low cost of manually labeling. However, scribbles are too sparse to identify object structure and detailed information, bringing ...
[ { "created": "Thu, 18 May 2023 02:49:07 GMT", "version": "v1" } ]
2023-05-19
[ [ "Li", "Yitong", "" ], [ "Liu", "Chang", "" ], [ "Ma", "Jie", "" ] ]
Weakly supervised learning based on scribble annotations in target extraction of remote sensing images has drawn much interest due to scribbles' flexibility in denoting winding objects and low cost of manually labeling. However, scribbles are too sparse to identify object structure and detailed information, bringing gr...
2003.04427
Yan Zhang
Yan Zhang and Michael M. Zavlanos
Transfer Reinforcement Learning under Unobserved Contextual Information
null
null
null
null
cs.LG cs.AI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we study a transfer reinforcement learning problem where the state transitions and rewards are affected by the environmental context. Specifically, we consider a demonstrator agent that has access to a context-aware policy and can generate transition and reward data based on that policy. These data con...
[ { "created": "Mon, 9 Mar 2020 22:00:04 GMT", "version": "v1" } ]
2020-03-11
[ [ "Zhang", "Yan", "" ], [ "Zavlanos", "Michael M.", "" ] ]
In this paper, we study a transfer reinforcement learning problem where the state transitions and rewards are affected by the environmental context. Specifically, we consider a demonstrator agent that has access to a context-aware policy and can generate transition and reward data based on that policy. These data const...
1301.6231
Alexander Zeh
Alexander Zeh and Antonia Wachter-Zeh and Maximilien Gadouleau and Sergey Bezzateev
Generalizing Bounds on the Minimum Distance of Cyclic Codes Using Cyclic Product Codes
5 pages, no figure, accepted for ISIT2013
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Two generalizations of the Hartmann--Tzeng (HT) bound on the minimum distance of q-ary cyclic codes are proposed. The first one is proven by embedding the given cyclic code into a cyclic product code. Furthermore, we show that unique decoding up to this bound is always possible and outline a quadratic-time syndrome-b...
[ { "created": "Sat, 26 Jan 2013 10:47:19 GMT", "version": "v1" }, { "created": "Thu, 27 Jun 2013 06:09:51 GMT", "version": "v2" } ]
2013-06-28
[ [ "Zeh", "Alexander", "" ], [ "Wachter-Zeh", "Antonia", "" ], [ "Gadouleau", "Maximilien", "" ], [ "Bezzateev", "Sergey", "" ] ]
Two generalizations of the Hartmann--Tzeng (HT) bound on the minimum distance of q-ary cyclic codes are proposed. The first one is proven by embedding the given cyclic code into a cyclic product code. Furthermore, we show that unique decoding up to this bound is always possible and outline a quadratic-time syndrome-bas...
2204.01915
Peter Washington
Peter Washington, Cezmi Mutlu, Aaron Kline, Cathy Hou, Kaitlyn Dunlap, Jack Kent, Arman Husic, Nate Stockham, Brianna Chrisman, Kelley Paskov, Jae-Yoon Jung, Dennis P. Wall
An Exploration of Active Learning for Affective Digital Phenotyping
null
null
null
null
cs.LG cs.CV
http://creativecommons.org/licenses/by/4.0/
Some of the most severe bottlenecks preventing widespread development of machine learning models for human behavior include a dearth of labeled training data and difficulty of acquiring high quality labels. Active learning is a paradigm for using algorithms to computationally select a useful subset of data points to ...
[ { "created": "Tue, 5 Apr 2022 01:01:32 GMT", "version": "v1" }, { "created": "Wed, 6 Apr 2022 18:23:44 GMT", "version": "v2" } ]
2022-04-08
[ [ "Washington", "Peter", "" ], [ "Mutlu", "Cezmi", "" ], [ "Kline", "Aaron", "" ], [ "Hou", "Cathy", "" ], [ "Dunlap", "Kaitlyn", "" ], [ "Kent", "Jack", "" ], [ "Husic", "Arman", "" ], [ "Stockham", ...
Some of the most severe bottlenecks preventing widespread development of machine learning models for human behavior include a dearth of labeled training data and difficulty of acquiring high quality labels. Active learning is a paradigm for using algorithms to computationally select a useful subset of data points to la...
2207.10941
Li Shen
Li Shen, Yuning Wei and Yangzhu Wang
Respecting Time Series Properties Makes Deep Time Series Forecasting Perfect
null
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
How to handle time features shall be the core question of any time series forecasting model. Ironically, it is often ignored or misunderstood by deep-learning based models, even those baselines which are state-of-the-art. This behavior makes their inefficient, untenable and unstable. In this paper, we rigorously anal...
[ { "created": "Fri, 22 Jul 2022 08:34:31 GMT", "version": "v1" } ]
2022-07-25
[ [ "Shen", "Li", "" ], [ "Wei", "Yuning", "" ], [ "Wang", "Yangzhu", "" ] ]
How to handle time features shall be the core question of any time series forecasting model. Ironically, it is often ignored or misunderstood by deep-learning based models, even those baselines which are state-of-the-art. This behavior makes their inefficient, untenable and unstable. In this paper, we rigorously analyz...
2211.16200
Mustafa Chasmai Ebrahim
Britty Baby, Daksh Thapar, Mustafa Chasmai, Tamajit Banerjee, Kunal Dargan, Ashish Suri, Subhashis Banerjee, Chetan Arora
From Forks to Forceps: A New Framework for Instance Segmentation of Surgical Instruments
WACV 2023
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by-nc-sa/4.0/
Minimally invasive surgeries and related applications demand surgical tool classification and segmentation at the instance level. Surgical tools are similar in appearance and are long, thin, and handled at an angle. The fine-tuning of state-of-the-art (SOTA) instance segmentation models trained on natural images for ...
[ { "created": "Sat, 26 Nov 2022 21:26:42 GMT", "version": "v1" }, { "created": "Sat, 11 Mar 2023 07:23:49 GMT", "version": "v2" } ]
2023-03-14
[ [ "Baby", "Britty", "" ], [ "Thapar", "Daksh", "" ], [ "Chasmai", "Mustafa", "" ], [ "Banerjee", "Tamajit", "" ], [ "Dargan", "Kunal", "" ], [ "Suri", "Ashish", "" ], [ "Banerjee", "Subhashis", "" ], [ ...
Minimally invasive surgeries and related applications demand surgical tool classification and segmentation at the instance level. Surgical tools are similar in appearance and are long, thin, and handled at an angle. The fine-tuning of state-of-the-art (SOTA) instance segmentation models trained on natural images for in...
1305.4580
Manish Gupta
Krishna Gopal Benerjee and Manish K. Gupta and Nikhil Agrawal
Reconstruction and Repair Degree of Fractional Repetition Codes
A one page abstract of this paper appears as a poster in IEEE Netcod 2013
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Given a Fractional Repetition code, finding the reconstruction and repair degree in a distributed storage system is an important problem. In this work, we present algorithms for computing the reconstruction and repair degree of fractional repetition codes.
[ { "created": "Mon, 20 May 2013 17:21:30 GMT", "version": "v1" } ]
2013-05-21
[ [ "Benerjee", "Krishna Gopal", "" ], [ "Gupta", "Manish K.", "" ], [ "Agrawal", "Nikhil", "" ] ]
Given a Fractional Repetition code, finding the reconstruction and repair degree in a distributed storage system is an important problem. In this work, we present algorithms for computing the reconstruction and repair degree of fractional repetition codes.
2212.12309
Amrut Kajave
Amrut Kajave and Shazny Ahmed Hussain Nismy
How Cyber Criminal Use Social Engineering To Target Organizations
null
null
null
null
cs.CR
http://creativecommons.org/licenses/by-nc-nd/4.0/
Social engineering is described as the art of manipulation. Cybercriminal use manipulation to victims their targets using psychological principles to change their behavior to make unconscious decisions. This study identifies the attack and techniques used by cybercriminal to conduct social engineering attacks within ...
[ { "created": "Wed, 7 Dec 2022 22:03:58 GMT", "version": "v1" } ]
2022-12-26
[ [ "Kajave", "Amrut", "" ], [ "Nismy", "Shazny Ahmed Hussain", "" ] ]
Social engineering is described as the art of manipulation. Cybercriminal use manipulation to victims their targets using psychological principles to change their behavior to make unconscious decisions. This study identifies the attack and techniques used by cybercriminal to conduct social engineering attacks within an...
2112.03386
Michael McDonald
Michael James McDonald and Dylan Hadfield-Menell
Guided Imitation of Task and Motion Planning
16 pages, 6 figures, 2 tables, submitted to Conference on Robot Learning 2021, to be published in Proceedings of Machine Learning Research
null
null
null
cs.RO cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
While modern policy optimization methods can do complex manipulation from sensory data, they struggle on problems with extended time horizons and multiple sub-goals. On the other hand, task and motion planning (TAMP) methods scale to long horizons but they are computationally expensive and need to precisely track wor...
[ { "created": "Mon, 6 Dec 2021 22:22:37 GMT", "version": "v1" } ]
2021-12-08
[ [ "McDonald", "Michael James", "" ], [ "Hadfield-Menell", "Dylan", "" ] ]
While modern policy optimization methods can do complex manipulation from sensory data, they struggle on problems with extended time horizons and multiple sub-goals. On the other hand, task and motion planning (TAMP) methods scale to long horizons but they are computationally expensive and need to precisely track world...
1908.07324
Bharath Sudharsan Mr
Bharath Sudharsan and Manigandan Chockalingam
A Microphone Array and Voice Algorithm based Smart Hearing Aid
null
null
10.5120/ijca2019919295
null
cs.SD eess.AS
http://creativecommons.org/licenses/by/4.0/
Approximately 6.2% of the world's population (466 million people) suffer from disabling hearing impairment [1]. Hearing impairment impacts negatively on one's education, financial success [2][3], cognitive development in childhood [4], including increased risk of dementia in older adulthood [5]. Lack of or reduced so...
[ { "created": "Tue, 20 Aug 2019 13:17:09 GMT", "version": "v1" }, { "created": "Mon, 4 Nov 2019 21:41:06 GMT", "version": "v2" }, { "created": "Thu, 2 Jan 2020 09:42:40 GMT", "version": "v3" }, { "created": "Fri, 5 Jun 2020 21:55:22 GMT", "version": "v4" } ]
2020-06-09
[ [ "Sudharsan", "Bharath", "" ], [ "Chockalingam", "Manigandan", "" ] ]
Approximately 6.2% of the world's population (466 million people) suffer from disabling hearing impairment [1]. Hearing impairment impacts negatively on one's education, financial success [2][3], cognitive development in childhood [4], including increased risk of dementia in older adulthood [5]. Lack of or reduced soci...
1910.07394
Thassilo Gadermaier
Thassilo Gadermaier and Gerhard Widmer
A Study of Annotation and Alignment Accuracy for Performance Comparison in Complex Orchestral Music
null
Proceedings of the 20th International Society for Music Information Retrieval Conference, (ISMIR) 2019, Delft, The Netherlands, November 4-8, 2019, pages: 769--775
null
null
cs.MM cs.DL cs.IR
http://creativecommons.org/licenses/by/4.0/
Quantitative analysis of commonalities and differences between recorded music performances is an increasingly common task in computational musicology. A typical scenario involves manual annotation of different recordings of the same piece along the time dimension, for comparative analysis of, e.g., the musical tempo,...
[ { "created": "Wed, 16 Oct 2019 14:59:59 GMT", "version": "v1" } ]
2020-09-28
[ [ "Gadermaier", "Thassilo", "" ], [ "Widmer", "Gerhard", "" ] ]
Quantitative analysis of commonalities and differences between recorded music performances is an increasingly common task in computational musicology. A typical scenario involves manual annotation of different recordings of the same piece along the time dimension, for comparative analysis of, e.g., the musical tempo, o...
1604.05577
Nadeem Akhtar
Nadeem Akhtar, Malik M. Saad Missen
Contribution to the Formal Specification and Verification of a Multi-Agent Robotic System
arXiv admin note: text overlap with arXiv:1501.05120
European Journal of Scientific Research, ISSN 1450-216X / 1450-202X Vol.117 No.1 January, 2014, pp. 35-55
null
null
cs.SE cs.AI cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
It is important to have multi-agent robotic system specifications that ensure correctness properties of safety and liveness. As these systems have concurrency, and often have dynamic environment, the formal specification and verification of these systems along with step-wise refinement from abstract to concrete conce...
[ { "created": "Fri, 2 Oct 2015 13:53:35 GMT", "version": "v1" } ]
2016-04-20
[ [ "Akhtar", "Nadeem", "" ], [ "Missen", "Malik M. Saad", "" ] ]
It is important to have multi-agent robotic system specifications that ensure correctness properties of safety and liveness. As these systems have concurrency, and often have dynamic environment, the formal specification and verification of these systems along with step-wise refinement from abstract to concrete concept...
2401.15767
Fabian Fernando Jurado Lasso Dr.
F. Fernando Jurado-Lasso, J. F. Jurado, and Xenofon Fafoutis
A Centralized Reinforcement Learning Framework for Adaptive Clustering with Low Control Overhead in IoT Networks
13 pages, 13 figures, 3 tables, journal
null
null
null
cs.NI cs.LG
http://creativecommons.org/licenses/by/4.0/
Wireless Sensor Networks (WSNs) play a pivotal role in enabling Internet of Things (IoT) devices with sensing and actuation capabilities. Operating in remote and resource-constrained environments, these IoT devices face challenges related to energy consumption, crucial for network longevity. Clustering protocols have...
[ { "created": "Sun, 28 Jan 2024 21:08:45 GMT", "version": "v1" } ]
2024-01-30
[ [ "Jurado-Lasso", "F. Fernando", "" ], [ "Jurado", "J. F.", "" ], [ "Fafoutis", "Xenofon", "" ] ]
Wireless Sensor Networks (WSNs) play a pivotal role in enabling Internet of Things (IoT) devices with sensing and actuation capabilities. Operating in remote and resource-constrained environments, these IoT devices face challenges related to energy consumption, crucial for network longevity. Clustering protocols have e...
2407.16354
Jinpeng Chen
Jinpeng Chen, Runmin Cong, Yuxuan Luo, Horace Ho Shing Ip, and Sam Kwong
Strike a Balance in Continual Panoptic Segmentation
null
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This study explores the emerging area of continual panoptic segmentation, highlighting three key balances. First, we introduce past-class backtrace distillation to balance the stability of existing knowledge with the adaptability to new information. This technique retraces the features associated with past classes ba...
[ { "created": "Tue, 23 Jul 2024 09:58:20 GMT", "version": "v1" } ]
2024-07-24
[ [ "Chen", "Jinpeng", "" ], [ "Cong", "Runmin", "" ], [ "Luo", "Yuxuan", "" ], [ "Ip", "Horace Ho Shing", "" ], [ "Kwong", "Sam", "" ] ]
This study explores the emerging area of continual panoptic segmentation, highlighting three key balances. First, we introduce past-class backtrace distillation to balance the stability of existing knowledge with the adaptability to new information. This technique retraces the features associated with past classes base...
2310.09360
Hongchao Zhang
Hongchao Zhang, Junlin Wu, Yevgeniy Vorobeychik, Andrew Clark
Exact Verification of ReLU Neural Control Barrier Functions
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Control Barrier Functions (CBFs) are a popular approach for safe control of nonlinear systems. In CBF-based control, the desired safety properties of the system are mapped to nonnegativity of a CBF, and the control input is chosen to ensure that the CBF remains nonnegative for all time. Recently, machine learning met...
[ { "created": "Fri, 13 Oct 2023 18:59:04 GMT", "version": "v1" } ]
2023-10-17
[ [ "Zhang", "Hongchao", "" ], [ "Wu", "Junlin", "" ], [ "Vorobeychik", "Yevgeniy", "" ], [ "Clark", "Andrew", "" ] ]
Control Barrier Functions (CBFs) are a popular approach for safe control of nonlinear systems. In CBF-based control, the desired safety properties of the system are mapped to nonnegativity of a CBF, and the control input is chosen to ensure that the CBF remains nonnegative for all time. Recently, machine learning metho...
1808.00878
Hazrat Ali
Hazrat Ali, Adnan Ali Awan, Sanaullah Khan, Omer Shafique, Atiq ur Rahman, Shahid Khan
Supervised classification for object identification in urban areas using satellite imagery
2018 International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)
H. Ali et al., 2018 International Conference on Computing, Mathematics and Engineering Technologies (iCoMET), Sukkur, 2018, pp. 1-4
10.1109/ICOMET.2018.8346383
null
cs.LG cs.CV eess.SP stat.ML
http://creativecommons.org/licenses/by-nc-sa/4.0/
This paper presents a useful method to achieve classification in satellite imagery. The approach is based on pixel level study employing various features such as correlation, homogeneity, energy and contrast. In this study gray-scale images are used for training the classification model. For supervised classification...
[ { "created": "Thu, 2 Aug 2018 16:00:32 GMT", "version": "v1" } ]
2018-08-03
[ [ "Ali", "Hazrat", "" ], [ "Awan", "Adnan Ali", "" ], [ "Khan", "Sanaullah", "" ], [ "Shafique", "Omer", "" ], [ "Rahman", "Atiq ur", "" ], [ "Khan", "Shahid", "" ] ]
This paper presents a useful method to achieve classification in satellite imagery. The approach is based on pixel level study employing various features such as correlation, homogeneity, energy and contrast. In this study gray-scale images are used for training the classification model. For supervised classification, ...
1408.4703
Amelia Carolina Sparavigna
Amelia Carolina Sparavigna
GIMP and Wavelets for Medical Image Processing: Enhancing Images of the Fundus of the Eye
Keywords: Image processing, Retina, Retina Vessels, GIMP, AstroFracTool, Iris, Wavelets
ijSciences, 2014, Volume 3, Issue 8, pages 35-47
10.18483/ijSci.556
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The visual analysis of retina and of its vascular characteristics is important in the diagnosis and monitoring of diseases of visual perception. In the related medical diagnoses, the digital processing of the fundus images is used to obtain the segmentation of retinal vessels. However, an image segmentation is often ...
[ { "created": "Wed, 20 Aug 2014 15:49:17 GMT", "version": "v1" } ]
2015-08-06
[ [ "Sparavigna", "Amelia Carolina", "" ] ]
The visual analysis of retina and of its vascular characteristics is important in the diagnosis and monitoring of diseases of visual perception. In the related medical diagnoses, the digital processing of the fundus images is used to obtain the segmentation of retinal vessels. However, an image segmentation is often re...
1505.03105
Hossam Ibrahim
Hossam S. Ibrahim, Sherif M. Abdou, Mervat Gheith
Sentiment Analysis For Modern Standard Arabic And Colloquial
International Journal on Natural Language Computing (IJNLC) Vol. 4, No.2,April 2015
null
10.5121/ijnlc.2015.4207
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The rise of social media such as blogs and social networks has fueled interest in sentiment analysis. With the proliferation of reviews, ratings, recommendations and other forms of online expression, online opinion has turned into a kind of virtual currency for businesses looking to market their products, identify ne...
[ { "created": "Tue, 12 May 2015 18:10:53 GMT", "version": "v1" } ]
2015-05-13
[ [ "Ibrahim", "Hossam S.", "" ], [ "Abdou", "Sherif M.", "" ], [ "Gheith", "Mervat", "" ] ]
The rise of social media such as blogs and social networks has fueled interest in sentiment analysis. With the proliferation of reviews, ratings, recommendations and other forms of online expression, online opinion has turned into a kind of virtual currency for businesses looking to market their products, identify new ...
2209.07702
Xinlin Leng
Xinlin Leng, Chenxu Li, Weifeng Xu, Yuyan Sun, Hongtao Wang
Federated Coordinate Descent for Privacy-Preserving Multiparty Linear Regression
14 pages, 19 figures (Under review)
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Distributed privacy-preserving regression schemes have been developed and extended in various fields, where multiparty collaboratively and privately run optimization algorithms, e.g., Gradient Descent, to learn a set of optimal parameters. However, traditional Gradient-Descent based methods fail to solve problems whi...
[ { "created": "Fri, 16 Sep 2022 03:53:46 GMT", "version": "v1" }, { "created": "Mon, 19 Sep 2022 08:28:36 GMT", "version": "v2" }, { "created": "Sun, 16 Oct 2022 10:53:11 GMT", "version": "v3" } ]
2022-10-18
[ [ "Leng", "Xinlin", "" ], [ "Li", "Chenxu", "" ], [ "Xu", "Weifeng", "" ], [ "Sun", "Yuyan", "" ], [ "Wang", "Hongtao", "" ] ]
Distributed privacy-preserving regression schemes have been developed and extended in various fields, where multiparty collaboratively and privately run optimization algorithms, e.g., Gradient Descent, to learn a set of optimal parameters. However, traditional Gradient-Descent based methods fail to solve problems which...
2312.01680
Deepika Tiwari
Deepika Tiwari, Tim Toady, Martin Monperrus, Benoit Baudry
With Great Humor Comes Great Developer Engagement
null
Proceedings of International Conference on Software Engineering, 2024
10.1145/3639475.3640099
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The worldwide collaborative effort for the creation of software is technically and socially demanding. The more engaged developers are, the more value they impart to the software they create. Engaged developers, such as Margaret Hamilton programming Apollo 11, can succeed in tackling the most difficult engineering ta...
[ { "created": "Mon, 4 Dec 2023 07:06:02 GMT", "version": "v1" }, { "created": "Tue, 16 Jan 2024 12:51:47 GMT", "version": "v2" } ]
2024-01-17
[ [ "Tiwari", "Deepika", "" ], [ "Toady", "Tim", "" ], [ "Monperrus", "Martin", "" ], [ "Baudry", "Benoit", "" ] ]
The worldwide collaborative effort for the creation of software is technically and socially demanding. The more engaged developers are, the more value they impart to the software they create. Engaged developers, such as Margaret Hamilton programming Apollo 11, can succeed in tackling the most difficult engineering task...
1902.03222
Thirupathi Guggulothu
Thirupathi Guggulothu
Code Smell Detection using Multilabel Classification Approach
16 pages,2 figures
null
null
null
cs.SE
http://creativecommons.org/licenses/by/4.0/
Code smells are characteristics of the software that indicates a code or design problem which can make software hard to understand, evolve, and maintain. The code smell detection tools proposed in the literature produce different results, as smells are informally defined or are subjective in nature. To address the is...
[ { "created": "Fri, 8 Feb 2019 18:30:33 GMT", "version": "v1" } ]
2019-02-11
[ [ "Guggulothu", "Thirupathi", "" ] ]
Code smells are characteristics of the software that indicates a code or design problem which can make software hard to understand, evolve, and maintain. The code smell detection tools proposed in the literature produce different results, as smells are informally defined or are subjective in nature. To address the issu...
2306.09841
Fangzhi Xu
Fangzhi Xu, Qika Lin, Jiawei Han, Tianzhe Zhao, Jun Liu, Erik Cambria
Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond
14 pages, 11 figures
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
Logical reasoning consistently plays a fundamental and significant role in the domains of knowledge engineering and artificial intelligence. Recently, Large Language Models (LLMs) have emerged as a noteworthy innovation in natural language processing (NLP), exhibiting impressive achievements across various classic NL...
[ { "created": "Fri, 16 Jun 2023 13:39:35 GMT", "version": "v1" }, { "created": "Tue, 11 Jul 2023 13:41:20 GMT", "version": "v2" }, { "created": "Tue, 8 Aug 2023 12:57:18 GMT", "version": "v3" } ]
2023-08-09
[ [ "Xu", "Fangzhi", "" ], [ "Lin", "Qika", "" ], [ "Han", "Jiawei", "" ], [ "Zhao", "Tianzhe", "" ], [ "Liu", "Jun", "" ], [ "Cambria", "Erik", "" ] ]
Logical reasoning consistently plays a fundamental and significant role in the domains of knowledge engineering and artificial intelligence. Recently, Large Language Models (LLMs) have emerged as a noteworthy innovation in natural language processing (NLP), exhibiting impressive achievements across various classic NLP ...
1606.05023
Christopher Rose
Christopher Rose and Ismat Saira Mian
Inscribed Matter Communication: Part I
20 pages, 6 figures, 1 Table in revision at IEEE Journal on Molecular, Biological and Multiscale Communication
null
10.1109/TMBMC.2017.2655025
null
cs.ET cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We provide a fundamental treatment of the molecular communication channel wherein "inscribed matter" is transmitted across a spatial gap to provide reliable signaling between a sender and receiver. Inscribed matter is defined as an ensemble of "tokens" (molecules, objects, and so on) and is inspired, at least partial...
[ { "created": "Thu, 16 Jun 2016 01:36:05 GMT", "version": "v1" }, { "created": "Sun, 19 Jun 2016 19:08:35 GMT", "version": "v2" }, { "created": "Mon, 29 Aug 2016 18:31:39 GMT", "version": "v3" }, { "created": "Tue, 22 Nov 2016 17:16:33 GMT", "version": "v4" }, { "c...
2020-09-22
[ [ "Rose", "Christopher", "" ], [ "Mian", "Ismat Saira", "" ] ]
We provide a fundamental treatment of the molecular communication channel wherein "inscribed matter" is transmitted across a spatial gap to provide reliable signaling between a sender and receiver. Inscribed matter is defined as an ensemble of "tokens" (molecules, objects, and so on) and is inspired, at least partially...
1801.02930
Yoshinari Takeishi
Yoshinari Takeishi and Jun'ichi Takeuchi
An Improved Analysis of Least Squares Superposition Codes with Bernoulli Dictionary
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
For the additive white Gaussian noise channel with average power constraint, sparse superposition codes, proposed by Barron and Joseph in 2010, achieve the capacity. While the codewords of the original sparse superposition codes are made with a dictionary matrix drawn from a Gaussian distribution, we consider the cas...
[ { "created": "Tue, 9 Jan 2018 13:42:18 GMT", "version": "v1" } ]
2018-01-10
[ [ "Takeishi", "Yoshinari", "" ], [ "Takeuchi", "Jun'ichi", "" ] ]
For the additive white Gaussian noise channel with average power constraint, sparse superposition codes, proposed by Barron and Joseph in 2010, achieve the capacity. While the codewords of the original sparse superposition codes are made with a dictionary matrix drawn from a Gaussian distribution, we consider the case ...
2102.06245
Kaushik Roy
Kaushik Roy, Qi Zhang, Manas Gaur, and Amit Sheth
Knowledge Infused Policy Gradients for Adaptive Pandemic Control
Accepted at AAAI-MAKE 2021
null
null
null
cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
COVID-19 has impacted nations differently based on their policy implementations. The effective policy requires taking into account public information and adaptability to new knowledge. Epidemiological models built to understand COVID-19 seldom provide the policymaker with the capability for adaptive pandemic control ...
[ { "created": "Thu, 11 Feb 2021 20:13:00 GMT", "version": "v1" } ]
2021-02-15
[ [ "Roy", "Kaushik", "" ], [ "Zhang", "Qi", "" ], [ "Gaur", "Manas", "" ], [ "Sheth", "Amit", "" ] ]
COVID-19 has impacted nations differently based on their policy implementations. The effective policy requires taking into account public information and adaptability to new knowledge. Epidemiological models built to understand COVID-19 seldom provide the policymaker with the capability for adaptive pandemic control (A...
1311.6718
Diego Perea Mr.
Diego Perea-Vega, Jean-Fran\c{c}ois Frigon, Andr\'e Girard
Efficient Heuristic for Resource Allocation in Zero-forcing OFDMA-SDMA Systems with Minimum Rate Constraints
8 figures
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
4G wireless access systems require high spectral efficiency to support the ever increasing number of users and data rates for real time applications. Multi-antenna OFDM-SDMA systems can provide the required high spectral efficiency and dynamic usage of the channel, but the resource allocation process becomes extremel...
[ { "created": "Tue, 26 Nov 2013 15:59:11 GMT", "version": "v1" }, { "created": "Wed, 8 Jan 2014 12:45:16 GMT", "version": "v2" } ]
2014-01-09
[ [ "Perea-Vega", "Diego", "" ], [ "Frigon", "Jean-François", "" ], [ "Girard", "André", "" ] ]
4G wireless access systems require high spectral efficiency to support the ever increasing number of users and data rates for real time applications. Multi-antenna OFDM-SDMA systems can provide the required high spectral efficiency and dynamic usage of the channel, but the resource allocation process becomes extremely ...
1502.03874
Zhengbang Zha
Zhengbang Zha, Lei Hu, Siwei Sun, Jinyong Shan
Further results on differentially 4-uniform permutations over $\F_{2^{2m}}$
15 pages. This paper has been accepted for publication in SCIENCE CHINA Mathematics
null
10.1007/s11425-015-4996-2
null
cs.IT math.IT
http://creativecommons.org/licenses/by/3.0/
In this paper, we present several new constructions of differentially 4-uniform permutations over $\F_{2^{2m}}$ by modifying the values of the inverse function on some subsets of $\F_{2^{2m}}$. The resulted differentially 4-uniform permutations have high nonlinearities and algebraic degrees, which provide more choice...
[ { "created": "Fri, 13 Feb 2015 02:50:59 GMT", "version": "v1" } ]
2023-07-19
[ [ "Zha", "Zhengbang", "" ], [ "Hu", "Lei", "" ], [ "Sun", "Siwei", "" ], [ "Shan", "Jinyong", "" ] ]
In this paper, we present several new constructions of differentially 4-uniform permutations over $\F_{2^{2m}}$ by modifying the values of the inverse function on some subsets of $\F_{2^{2m}}$. The resulted differentially 4-uniform permutations have high nonlinearities and algebraic degrees, which provide more choices ...
2109.05658
Abigail Jacobs
Abigail Z. Jacobs
Measurement as governance in and for responsible AI
5 pages, 1 figure; KDD Workshop on Responsible AI 2021
null
null
null
cs.CY
http://creativecommons.org/licenses/by/4.0/
Measurement of social phenomena is everywhere, unavoidably, in sociotechnical systems. This is not (only) an academic point: Fairness-related harms emerge when there is a mismatch in the measurement process between the thing we purport to be measuring and the thing we actually measure. However, the measurement proces...
[ { "created": "Mon, 13 Sep 2021 01:04:22 GMT", "version": "v1" } ]
2021-09-14
[ [ "Jacobs", "Abigail Z.", "" ] ]
Measurement of social phenomena is everywhere, unavoidably, in sociotechnical systems. This is not (only) an academic point: Fairness-related harms emerge when there is a mismatch in the measurement process between the thing we purport to be measuring and the thing we actually measure. However, the measurement process ...
1903.10140
Chunyang Feng
Chunyang Feng, Yufeng Sun, Xin Li
Iris R-CNN: Accurate Iris Segmentation in Non-cooperative Environment
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Despite the significant advances in iris segmentation, accomplishing accurate iris segmentation in non-cooperative environment remains a grand challenge. In this paper, we present a deep learning framework, referred to as Iris R-CNN, to offer superior accuracy for iris segmentation. The proposed framework is derived ...
[ { "created": "Mon, 25 Mar 2019 05:33:06 GMT", "version": "v1" } ]
2019-03-26
[ [ "Feng", "Chunyang", "" ], [ "Sun", "Yufeng", "" ], [ "Li", "Xin", "" ] ]
Despite the significant advances in iris segmentation, accomplishing accurate iris segmentation in non-cooperative environment remains a grand challenge. In this paper, we present a deep learning framework, referred to as Iris R-CNN, to offer superior accuracy for iris segmentation. The proposed framework is derived fr...
1904.09163
David Sigtermans
David Sigtermans
Transfer Entropy: where Shannon meets Turing
4 pages, 1 figure
null
null
null
cs.IT cs.LG math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Transfer entropy is capable of capturing nonlinear source-destination relations between multi-variate time series. It is a measure of association between source data that are transformed into destination data via a set of linear transformations between their probability mass functions. The resulting tensor formalism ...
[ { "created": "Fri, 19 Apr 2019 12:24:44 GMT", "version": "v1" }, { "created": "Fri, 17 May 2019 17:56:03 GMT", "version": "v2" }, { "created": "Sat, 25 May 2019 14:11:24 GMT", "version": "v3" } ]
2019-05-28
[ [ "Sigtermans", "David", "" ] ]
Transfer entropy is capable of capturing nonlinear source-destination relations between multi-variate time series. It is a measure of association between source data that are transformed into destination data via a set of linear transformations between their probability mass functions. The resulting tensor formalism is...
1312.5548
Juergen Schmidhuber
J\"urgen Schmidhuber
My First Deep Learning System of 1991 + Deep Learning Timeline 1962-2013
11 pages. As a machine learning researcher I am obsessed with proper credit assignment. This draft is the result of an experiment in rapid massive open online peer review. Since 20 September 2013, subsequent revisions published under http://www.deeplearning.me have absorbed many suggestions for improvements by ...
null
null
null
cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep Learning has attracted significant attention in recent years. Here I present a brief overview of my first Deep Learner of 1991, and its historic context, with a timeline of Deep Learning highlights.
[ { "created": "Thu, 19 Dec 2013 13:45:45 GMT", "version": "v1" } ]
2013-12-20
[ [ "Schmidhuber", "Jürgen", "" ] ]
Deep Learning has attracted significant attention in recent years. Here I present a brief overview of my first Deep Learner of 1991, and its historic context, with a timeline of Deep Learning highlights.
2204.00645
Young-Ho Kim
Christian DeBuy, Florin Ghesu, Reza Langari, Young-Ho Kim
Design and validation of zero-slack separable manipulator for Intracardiac Echocardiography
null
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Clinicians require substantial training and experience to become comfortable with steering Intracardiac echocardiography (ICE) catheter to localize and measure the area of treatment to watch for complications while device catheters are deployed in another access. Thus, it is reasonable that a robotic-assist system to...
[ { "created": "Fri, 1 Apr 2022 18:17:21 GMT", "version": "v1" } ]
2022-04-05
[ [ "DeBuy", "Christian", "" ], [ "Ghesu", "Florin", "" ], [ "Langari", "Reza", "" ], [ "Kim", "Young-Ho", "" ] ]
Clinicians require substantial training and experience to become comfortable with steering Intracardiac echocardiography (ICE) catheter to localize and measure the area of treatment to watch for complications while device catheters are deployed in another access. Thus, it is reasonable that a robotic-assist system to h...
2110.04452
Huimin Dong
Huimin Dong, R\'eka Markovich and Leendert van der Torre
Towards AI Logic for Social Reasoning
null
Journal of Zhejiang University, Vol. 5, No. 50 (2020): 31-50
null
null
cs.AI cs.LO
http://creativecommons.org/licenses/by-nc-nd/4.0/
Artificial Intelligence (AI) logic formalizes the reasoning of intelligent agents. In this paper, we discuss how an argumentation-based AI logic could be used also to formalize important aspects of social reasoning. Besides reasoning about the knowledge and actions of individual agents, social AI logic can reason als...
[ { "created": "Sat, 9 Oct 2021 04:35:23 GMT", "version": "v1" } ]
2021-10-12
[ [ "Dong", "Huimin", "" ], [ "Markovich", "Réka", "" ], [ "van der Torre", "Leendert", "" ] ]
Artificial Intelligence (AI) logic formalizes the reasoning of intelligent agents. In this paper, we discuss how an argumentation-based AI logic could be used also to formalize important aspects of social reasoning. Besides reasoning about the knowledge and actions of individual agents, social AI logic can reason also ...
1904.01691
Sangkug Lym
Sangkug Lym, Donghyuk Lee, Mike O'Connor, Niladrish Chatterjee, Mattan Erez
DeLTA: GPU Performance Model for Deep Learning Applications with In-depth Memory System Traffic Analysis
null
null
10.1109/ISPASS.2019.00041
null
cs.DC cs.LG
http://creativecommons.org/licenses/by-sa/4.0/
Training convolutional neural networks (CNNs) requires intense compute throughput and high memory bandwidth. Especially, convolution layers account for the majority of the execution time of CNN training, and GPUs are commonly used to accelerate these layer workloads. GPU design optimization for efficient CNN training...
[ { "created": "Tue, 2 Apr 2019 22:30:06 GMT", "version": "v1" } ]
2020-04-28
[ [ "Lym", "Sangkug", "" ], [ "Lee", "Donghyuk", "" ], [ "O'Connor", "Mike", "" ], [ "Chatterjee", "Niladrish", "" ], [ "Erez", "Mattan", "" ] ]
Training convolutional neural networks (CNNs) requires intense compute throughput and high memory bandwidth. Especially, convolution layers account for the majority of the execution time of CNN training, and GPUs are commonly used to accelerate these layer workloads. GPU design optimization for efficient CNN training a...
2303.09001
Alan Chan
Alan Chan, Herbie Bradley, Nitarshan Rajkumar
Reclaiming the Digital Commons: A Public Data Trust for Training Data
Accepted at AIES 2023
null
null
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Democratization of AI means not only that people can freely use AI, but also that people can collectively decide how AI is to be used. In particular, collective decision-making power is required to redress the negative externalities from the development of increasingly advanced AI systems, including degradation of th...
[ { "created": "Thu, 16 Mar 2023 00:12:43 GMT", "version": "v1" }, { "created": "Sun, 21 May 2023 23:17:19 GMT", "version": "v2" } ]
2023-05-23
[ [ "Chan", "Alan", "" ], [ "Bradley", "Herbie", "" ], [ "Rajkumar", "Nitarshan", "" ] ]
Democratization of AI means not only that people can freely use AI, but also that people can collectively decide how AI is to be used. In particular, collective decision-making power is required to redress the negative externalities from the development of increasingly advanced AI systems, including degradation of the ...
1603.09601
Reuben Stephen
Reuben George Stephen, Rui Zhang
Joint Millimeter-Wave Fronthaul and OFDMA Resource Allocation in Ultra-Dense CRAN
Accepted for publication in IEEE Transactions on Communications
null
10.1109/TCOMM.2017.2649519
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Ultra-dense (UD) wireless networks and cloud radio access networks (CRAN) are two promising network architectures for the emerging fifth-generation (5G) wireless communication systems. By jointly employing them, a new appealing network solution is proposed in this paper, termed UD-CRAN. In a UD-CRAN, millimeter-wave ...
[ { "created": "Thu, 31 Mar 2016 14:25:24 GMT", "version": "v1" }, { "created": "Fri, 17 Jun 2016 15:17:25 GMT", "version": "v2" }, { "created": "Fri, 20 Jan 2017 07:53:07 GMT", "version": "v3" }, { "created": "Wed, 8 Feb 2017 10:11:11 GMT", "version": "v4" } ]
2017-02-09
[ [ "Stephen", "Reuben George", "" ], [ "Zhang", "Rui", "" ] ]
Ultra-dense (UD) wireless networks and cloud radio access networks (CRAN) are two promising network architectures for the emerging fifth-generation (5G) wireless communication systems. By jointly employing them, a new appealing network solution is proposed in this paper, termed UD-CRAN. In a UD-CRAN, millimeter-wave (m...
1307.1943
EPTCS
Carst Tankink (Institute for Computing and Information Science, Radboud University Nijmegen)
Proof in Context -- Web Editing with Rich, Modeless Contextual Feedback
In Proceedings UITP 2012, arXiv:1307.1528
EPTCS 118, 2013, pp. 42-56
10.4204/EPTCS.118.3
null
cs.HC cs.LO cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Agora system is a prototypical Wiki for formal mathematics: a web-based system for collaborating on formal mathematics, intended to support informal documentation of formal developments. This system requires a reusable proof editor component, both for collaborative editing of documents, and for embedding in the r...
[ { "created": "Mon, 8 Jul 2013 04:41:39 GMT", "version": "v1" } ]
2013-07-09
[ [ "Tankink", "Carst", "", "Institute for Computing and Information Science,\n Radboud University Nijmegen" ] ]
The Agora system is a prototypical Wiki for formal mathematics: a web-based system for collaborating on formal mathematics, intended to support informal documentation of formal developments. This system requires a reusable proof editor component, both for collaborative editing of documents, and for embedding in the res...
1806.11269
Jun Chen
Yang Xiao, Jun Chen, Yancheng Wang, Zhiguo Cao, Joey Tianyi Zhou, Xiang Bai
Action Recognition for Depth Video using Multi-view Dynamic Images
accepted by Information Sciences
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Dynamic imaging is a recently proposed action description paradigm for simultaneously capturing motion and temporal evolution information, particularly in the context of deep convolutional neural networks (CNNs). Compared with optical flow for motion characterization, dynamic imaging exhibits superior efficiency and ...
[ { "created": "Fri, 29 Jun 2018 05:27:26 GMT", "version": "v1" }, { "created": "Sat, 4 Aug 2018 10:40:40 GMT", "version": "v2" }, { "created": "Thu, 27 Dec 2018 16:21:49 GMT", "version": "v3" } ]
2018-12-31
[ [ "Xiao", "Yang", "" ], [ "Chen", "Jun", "" ], [ "Wang", "Yancheng", "" ], [ "Cao", "Zhiguo", "" ], [ "Zhou", "Joey Tianyi", "" ], [ "Bai", "Xiang", "" ] ]
Dynamic imaging is a recently proposed action description paradigm for simultaneously capturing motion and temporal evolution information, particularly in the context of deep convolutional neural networks (CNNs). Compared with optical flow for motion characterization, dynamic imaging exhibits superior efficiency and co...
2004.08861
Jie Fu
Jie Fu, Xue Geng, Zhijian Duan, Bohan Zhuang, Xingdi Yuan, Adam Trischler, Jie Lin, Chris Pal, Hao Dong
Role-Wise Data Augmentation for Knowledge Distillation
null
null
null
null
cs.LG cs.NE stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Knowledge Distillation (KD) is a common method for transferring the ``knowledge'' learned by one machine learning model (the \textit{teacher}) into another model (the \textit{student}), where typically, the teacher has a greater capacity (e.g., more parameters or higher bit-widths). To our knowledge, existing methods...
[ { "created": "Sun, 19 Apr 2020 14:22:17 GMT", "version": "v1" } ]
2020-04-21
[ [ "Fu", "Jie", "" ], [ "Geng", "Xue", "" ], [ "Duan", "Zhijian", "" ], [ "Zhuang", "Bohan", "" ], [ "Yuan", "Xingdi", "" ], [ "Trischler", "Adam", "" ], [ "Lin", "Jie", "" ], [ "Pal", "Chris", ...
Knowledge Distillation (KD) is a common method for transferring the ``knowledge'' learned by one machine learning model (the \textit{teacher}) into another model (the \textit{student}), where typically, the teacher has a greater capacity (e.g., more parameters or higher bit-widths). To our knowledge, existing methods o...
1908.04812
Taesun Whang
Taesun Whang, Dongyub Lee, Chanhee Lee, Kisu Yang, Dongsuk Oh, HeuiSeok Lim
An Effective Domain Adaptive Post-Training Method for BERT in Response Selection
INTERSPEECH 2020
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We focus on multi-turn response selection in a retrieval-based dialog system. In this paper, we utilize the powerful pre-trained language model Bi-directional Encoder Representations from Transformer (BERT) for a multi-turn dialog system and propose a highly effective post-training method on domain-specific corpus. A...
[ { "created": "Tue, 13 Aug 2019 18:24:29 GMT", "version": "v1" }, { "created": "Mon, 27 Jul 2020 02:37:49 GMT", "version": "v2" } ]
2020-07-28
[ [ "Whang", "Taesun", "" ], [ "Lee", "Dongyub", "" ], [ "Lee", "Chanhee", "" ], [ "Yang", "Kisu", "" ], [ "Oh", "Dongsuk", "" ], [ "Lim", "HeuiSeok", "" ] ]
We focus on multi-turn response selection in a retrieval-based dialog system. In this paper, we utilize the powerful pre-trained language model Bi-directional Encoder Representations from Transformer (BERT) for a multi-turn dialog system and propose a highly effective post-training method on domain-specific corpus. Alt...
1412.3579
Jan Bergstra
Jan A. Bergstra
Personal Multi-threading
null
null
null
null
cs.OH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multi-threading allows agents to pursue a heterogeneous collection of tasks in an orderly manner. The view of multi-threading that emerges from thread algebra is applied to the case where a single agent, who may be human, maintains a hierarchical multithread as an architecture of its own activities.
[ { "created": "Thu, 11 Dec 2014 09:06:40 GMT", "version": "v1" } ]
2014-12-12
[ [ "Bergstra", "Jan A.", "" ] ]
Multi-threading allows agents to pursue a heterogeneous collection of tasks in an orderly manner. The view of multi-threading that emerges from thread algebra is applied to the case where a single agent, who may be human, maintains a hierarchical multithread as an architecture of its own activities.
2112.12182
Duo Wang
Duo Wang, Salah Karout
Fine-grained Multi-Modal Self-Supervised Learning
Accepted at BMVC 2021
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multi-Modal Self-Supervised Learning from videos has been shown to improve model's performance on various downstream tasks. However, such Self-Supervised pre-training requires large batch sizes and a large amount of computation resources due to the noise present in the uncurated data. This is partly due to the fact t...
[ { "created": "Wed, 22 Dec 2021 19:17:45 GMT", "version": "v1" } ]
2021-12-24
[ [ "Wang", "Duo", "" ], [ "Karout", "Salah", "" ] ]
Multi-Modal Self-Supervised Learning from videos has been shown to improve model's performance on various downstream tasks. However, such Self-Supervised pre-training requires large batch sizes and a large amount of computation resources due to the noise present in the uncurated data. This is partly due to the fact tha...
2203.11795
Rob Bisseling
Thomas Koopman and Rob H. Bisseling
Minimizing communication in the multidimensional FFT
23 pages, 3 figures. The new version has mainly added results in section 4.2 for the package heFFT, following referee comments. Furthermore, small linguistic changes have been made to render the arXiv version identical in text to the final published journal version
SIAM Journal on Scientific Computing, Volume 45, Number 6, pp. C330-C347 (2023)
10.1137/22M1487242
null
cs.DC cs.NA math.NA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a parallel algorithm for the fast Fourier transform (FFT) in higher dimensions. This algorithm generalizes the cyclic-to-cyclic one-dimensional parallel algorithm to a cyclic-to-cyclic multidimensional parallel algorithm while retaining the property of needing only a single all-to-all communication step. T...
[ { "created": "Tue, 22 Mar 2022 15:01:35 GMT", "version": "v1" }, { "created": "Mon, 11 Dec 2023 09:36:58 GMT", "version": "v2" } ]
2023-12-12
[ [ "Koopman", "Thomas", "" ], [ "Bisseling", "Rob H.", "" ] ]
We present a parallel algorithm for the fast Fourier transform (FFT) in higher dimensions. This algorithm generalizes the cyclic-to-cyclic one-dimensional parallel algorithm to a cyclic-to-cyclic multidimensional parallel algorithm while retaining the property of needing only a single all-to-all communication step. Thi...
2210.04230
Victor Croisfelt MSc
Victor Croisfelt and Fabio Saggese and Israel Leyva-Mayorga and Rados{\l}aw Kotaba and Gabriele Gradoni and Petar Popovski
Random Access Protocol with Channel Oracle Enabled by a Reconfigurable Intelligent Surface
14 pages, 7 figures, journal paper
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The widespread adoption of Reconfigurable Intelligent Surfaces (RISs) in future practical wireless systems is critically dependent on the integration of the RIS into higher-layer protocols beyond the physical (PHY) one, an issue that has received minimal attention in the research literature. In light of this, we cons...
[ { "created": "Sun, 9 Oct 2022 11:23:27 GMT", "version": "v1" }, { "created": "Mon, 17 Apr 2023 14:41:39 GMT", "version": "v2" } ]
2023-04-18
[ [ "Croisfelt", "Victor", "" ], [ "Saggese", "Fabio", "" ], [ "Leyva-Mayorga", "Israel", "" ], [ "Kotaba", "Radosław", "" ], [ "Gradoni", "Gabriele", "" ], [ "Popovski", "Petar", "" ] ]
The widespread adoption of Reconfigurable Intelligent Surfaces (RISs) in future practical wireless systems is critically dependent on the integration of the RIS into higher-layer protocols beyond the physical (PHY) one, an issue that has received minimal attention in the research literature. In light of this, we consid...
2309.01237
Alexander Kolpakov
Alexander Kolpakov, A. Alistair Rocke
The Information Geometry of UMAP
12 pages, 2 figures, 3 tables ; Github repo (https://github.com/sashakolpakov/info-geometry-umap) ; to appear in Le Matematiche
null
null
null
cs.CG cs.DM cs.IT math.GT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this note we highlight some connections of UMAP to the basic principles of Information Geometry. Originally, UMAP was derived from Category Theory observations. However, we posit that it also has a natural geometric interpretation.
[ { "created": "Sun, 3 Sep 2023 18:10:00 GMT", "version": "v1" }, { "created": "Sat, 9 Sep 2023 09:31:41 GMT", "version": "v2" }, { "created": "Fri, 15 Mar 2024 09:55:54 GMT", "version": "v3" }, { "created": "Tue, 30 Apr 2024 19:35:10 GMT", "version": "v4" }, { "cre...
2024-07-23
[ [ "Kolpakov", "Alexander", "" ], [ "Rocke", "A. Alistair", "" ] ]
In this note we highlight some connections of UMAP to the basic principles of Information Geometry. Originally, UMAP was derived from Category Theory observations. However, we posit that it also has a natural geometric interpretation.
2311.06840
Bijan Mazaheri
Bijan Mazaheri, Siddharth Jain, Matthew Cook, Jehoshua Bruck
Omitted Labels in Causality: A Study of Paradoxes
null
null
null
null
cs.LG cs.AI cs.IT cs.SI math.IT stat.ME
http://creativecommons.org/licenses/by/4.0/
We explore what we call ``omitted label contexts,'' in which training data is limited to a subset of the possible labels. This setting is common among specialized human experts or specific focused studies. We lean on well-studied paradoxes (Simpson's and Condorcet) to illustrate the more general difficulties of causa...
[ { "created": "Sun, 12 Nov 2023 13:31:53 GMT", "version": "v1" }, { "created": "Tue, 13 Feb 2024 18:53:58 GMT", "version": "v2" }, { "created": "Thu, 23 May 2024 12:58:14 GMT", "version": "v3" } ]
2024-05-24
[ [ "Mazaheri", "Bijan", "" ], [ "Jain", "Siddharth", "" ], [ "Cook", "Matthew", "" ], [ "Bruck", "Jehoshua", "" ] ]
We explore what we call ``omitted label contexts,'' in which training data is limited to a subset of the possible labels. This setting is common among specialized human experts or specific focused studies. We lean on well-studied paradoxes (Simpson's and Condorcet) to illustrate the more general difficulties of causal ...
2407.19160
Stephan Saalfeld
C\'edric Allier, Magdalena C. Schneider, Michael Innerberger, Larissa Heinrich, John A. Bogovic, Stephan Saalfeld
Decomposing heterogeneous dynamical systems with graph neural networks
11 pages, 4 figures, 2 pages appendix, 2 supplementary tables, 18 supplementary figures, 13 videos linked to youtube
null
null
null
cs.LG cs.AI math.DS
http://creativecommons.org/licenses/by/4.0/
Natural physical, chemical, and biological dynamical systems are often complex, with heterogeneous components interacting in diverse ways. We show that graph neural networks can be designed to jointly learn the interaction rules and the structure of the heterogeneity from data alone. The learned latent structure and ...
[ { "created": "Sat, 27 Jul 2024 04:03:12 GMT", "version": "v1" } ]
2024-07-30
[ [ "Allier", "Cédric", "" ], [ "Schneider", "Magdalena C.", "" ], [ "Innerberger", "Michael", "" ], [ "Heinrich", "Larissa", "" ], [ "Bogovic", "John A.", "" ], [ "Saalfeld", "Stephan", "" ] ]
Natural physical, chemical, and biological dynamical systems are often complex, with heterogeneous components interacting in diverse ways. We show that graph neural networks can be designed to jointly learn the interaction rules and the structure of the heterogeneity from data alone. The learned latent structure and dy...
1711.10467
Cong Ma
Cong Ma, Kaizheng Wang, Yuejie Chi, Yuxin Chen
Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind Deconvolution
accepted to Foundations of Computational Mathematics (FOCM)
Foundations of Computational Mathematics, vol. 20, no. 3, pp. 451-632, June 2020
10.1007/s10208-019-09429-9
null
cs.LG cs.IT math.IT math.OC math.ST stat.ML stat.TH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent years have seen a flurry of activities in designing provably efficient nonconvex procedures for solving statistical estimation problems. Due to the highly nonconvex nature of the empirical loss, state-of-the-art procedures often require proper regularization (e.g. trimming, regularized cost, projection) in ord...
[ { "created": "Tue, 28 Nov 2017 18:53:38 GMT", "version": "v1" }, { "created": "Thu, 14 Dec 2017 10:47:03 GMT", "version": "v2" }, { "created": "Tue, 30 Jul 2019 02:14:54 GMT", "version": "v3" } ]
2020-06-09
[ [ "Ma", "Cong", "" ], [ "Wang", "Kaizheng", "" ], [ "Chi", "Yuejie", "" ], [ "Chen", "Yuxin", "" ] ]
Recent years have seen a flurry of activities in designing provably efficient nonconvex procedures for solving statistical estimation problems. Due to the highly nonconvex nature of the empirical loss, state-of-the-art procedures often require proper regularization (e.g. trimming, regularized cost, projection) in order...
2105.09613
Aditi Singh
Aditi Singh, Suhas Jayaram Subramanya, Ravishankar Krishnaswamy, Harsha Vardhan Simhadri
FreshDiskANN: A Fast and Accurate Graph-Based ANN Index for Streaming Similarity Search
19 pages, 22 figures
null
null
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Approximate nearest neighbor search (ANNS) is a fundamental building block in information retrieval with graph-based indices being the current state-of-the-art and widely used in the industry. Recent advances in graph-based indices have made it possible to index and search billion-point datasets with high recall and ...
[ { "created": "Thu, 20 May 2021 09:17:13 GMT", "version": "v1" } ]
2021-05-21
[ [ "Singh", "Aditi", "" ], [ "Subramanya", "Suhas Jayaram", "" ], [ "Krishnaswamy", "Ravishankar", "" ], [ "Simhadri", "Harsha Vardhan", "" ] ]
Approximate nearest neighbor search (ANNS) is a fundamental building block in information retrieval with graph-based indices being the current state-of-the-art and widely used in the industry. Recent advances in graph-based indices have made it possible to index and search billion-point datasets with high recall and mi...
1610.02136
Dan Hendrycks
Dan Hendrycks and Kevin Gimpel
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
Published as a conference paper at ICLR 2017. 1 Figure in 1 Appendix. Minor changes from the previous version
International Conference on Learning Representations 2017
null
null
cs.NE cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the two related problems of detecting if an example is misclassified or out-of-distribution. We present a simple baseline that utilizes probabilities from softmax distributions. Correctly classified examples tend to have greater maximum softmax probabilities than erroneously classified and out-of-distribu...
[ { "created": "Fri, 7 Oct 2016 04:06:01 GMT", "version": "v1" }, { "created": "Thu, 23 Mar 2017 18:11:25 GMT", "version": "v2" }, { "created": "Wed, 3 Oct 2018 07:32:57 GMT", "version": "v3" } ]
2018-10-04
[ [ "Hendrycks", "Dan", "" ], [ "Gimpel", "Kevin", "" ] ]
We consider the two related problems of detecting if an example is misclassified or out-of-distribution. We present a simple baseline that utilizes probabilities from softmax distributions. Correctly classified examples tend to have greater maximum softmax probabilities than erroneously classified and out-of-distributi...
2202.00893
Jaeyeon Ahn
Jaeyeon Ahn, Taehyeon Kim, Seyoung Yun
Mold into a Graph: Efficient Bayesian Optimization over Mixed-Spaces
14 pages, 10 figures
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Real-world optimization problems are generally not just black-box problems, but also involve mixed types of inputs in which discrete and continuous variables coexist. Such mixed-space optimization possesses the primary challenge of modeling complex interactions between the inputs. In this work, we propose a novel yet...
[ { "created": "Wed, 2 Feb 2022 07:12:18 GMT", "version": "v1" }, { "created": "Tue, 8 Feb 2022 06:44:25 GMT", "version": "v2" } ]
2022-02-09
[ [ "Ahn", "Jaeyeon", "" ], [ "Kim", "Taehyeon", "" ], [ "Yun", "Seyoung", "" ] ]
Real-world optimization problems are generally not just black-box problems, but also involve mixed types of inputs in which discrete and continuous variables coexist. Such mixed-space optimization possesses the primary challenge of modeling complex interactions between the inputs. In this work, we propose a novel yet s...
cs/0604082
Farhad Meshkati
Farhad Meshkati, H. Vincent Poor, Stuart C. Schwartz and Radu V. Balan
Energy-Efficient Power and Rate Control with QoS Constraints: A Game-Theoretic Approach
To appear in the proceedings of the 2006 International Wireless Communications and Mobile Computing Conference (IWCMC'06), Vancouver, BC, Canada, July 2006
null
null
null
cs.IT math.IT
null
A game-theoretic model is proposed to study the cross-layer problem of joint power and rate control with quality of service (QoS) constraints in multiple-access networks. In the proposed game, each user seeks to choose its transmit power and rate in a distributed manner in order to maximize its own utility and at the...
[ { "created": "Fri, 21 Apr 2006 14:46:14 GMT", "version": "v1" }, { "created": "Fri, 5 May 2006 19:37:13 GMT", "version": "v2" } ]
2007-07-16
[ [ "Meshkati", "Farhad", "" ], [ "Poor", "H. Vincent", "" ], [ "Schwartz", "Stuart C.", "" ], [ "Balan", "Radu V.", "" ] ]
A game-theoretic model is proposed to study the cross-layer problem of joint power and rate control with quality of service (QoS) constraints in multiple-access networks. In the proposed game, each user seeks to choose its transmit power and rate in a distributed manner in order to maximize its own utility and at the s...
2106.11394
Felix Biessmann
Felix Biessmann and Viktor Treu
A Turing Test for Transparency
Published in Proceedings of the ICML Workshop on Theoretical Foundations, Criticism, and Application Trends of Explainable AI held in conjunction with the 38th International Conference on Machine Learning (ICML)
null
null
null
cs.AI cs.HC
http://creativecommons.org/licenses/by-nc-sa/4.0/
A central goal of explainable artificial intelligence (XAI) is to improve the trust relationship in human-AI interaction. One assumption underlying research in transparent AI systems is that explanations help to better assess predictions of machine learning (ML) models, for instance by enabling humans to identify wro...
[ { "created": "Mon, 21 Jun 2021 20:09:40 GMT", "version": "v1" } ]
2021-06-23
[ [ "Biessmann", "Felix", "" ], [ "Treu", "Viktor", "" ] ]
A central goal of explainable artificial intelligence (XAI) is to improve the trust relationship in human-AI interaction. One assumption underlying research in transparent AI systems is that explanations help to better assess predictions of machine learning (ML) models, for instance by enabling humans to identify wrong...
2112.02129
Marco Carpentiero
Marco Carpentiero, Vincenzo Matta, Ali H. Sayed
Distributed Adaptive Learning Under Communication Constraints
Submitted for publication
null
null
null
cs.LG cs.IT cs.MA math.IT math.OC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This work examines adaptive distributed learning strategies designed to operate under communication constraints. We consider a network of agents that must solve an online optimization problem from continual observation of streaming data. The agents implement a distributed cooperative strategy where each agent is allo...
[ { "created": "Fri, 3 Dec 2021 19:23:48 GMT", "version": "v1" } ]
2021-12-07
[ [ "Carpentiero", "Marco", "" ], [ "Matta", "Vincenzo", "" ], [ "Sayed", "Ali H.", "" ] ]
This work examines adaptive distributed learning strategies designed to operate under communication constraints. We consider a network of agents that must solve an online optimization problem from continual observation of streaming data. The agents implement a distributed cooperative strategy where each agent is allowe...
2404.01184
Mingxin Yu
Mingxin Yu, Chenning Yu, M-Mahdi Naddaf-Sh, Devesh Upadhyay, Sicun Gao, and Chuchu Fan
Efficient Motion Planning for Manipulators with Control Barrier Function-Induced Neural Controller
Accepted by IEEE International Conference on Robotics and Automation (ICRA2024)
null
null
null
cs.RO cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sampling-based motion planning methods for manipulators in crowded environments often suffer from expensive collision checking and high sampling complexity, which make them difficult to use in real time. To address this issue, we propose a new generalizable control barrier function (CBF)-based steering controller to ...
[ { "created": "Mon, 1 Apr 2024 15:36:39 GMT", "version": "v1" } ]
2024-04-02
[ [ "Yu", "Mingxin", "" ], [ "Yu", "Chenning", "" ], [ "Naddaf-Sh", "M-Mahdi", "" ], [ "Upadhyay", "Devesh", "" ], [ "Gao", "Sicun", "" ], [ "Fan", "Chuchu", "" ] ]
Sampling-based motion planning methods for manipulators in crowded environments often suffer from expensive collision checking and high sampling complexity, which make them difficult to use in real time. To address this issue, we propose a new generalizable control barrier function (CBF)-based steering controller to re...
0805.1787
Michael Hilker
Michael Hilker and Christoph Schommer
A Network Protection Framework through Artificial Immunity
24 pages, 2 figures
null
null
null
cs.MA cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Current network protection systems use a collection of intelligent components - e.g. classifiers or rule-based firewall systems to detect intrusions and anomalies and to secure a network against viruses, worms, or trojans. However, these network systems rely on individuality and support an architecture with less coll...
[ { "created": "Tue, 13 May 2008 06:51:35 GMT", "version": "v1" } ]
2008-05-14
[ [ "Hilker", "Michael", "" ], [ "Schommer", "Christoph", "" ] ]
Current network protection systems use a collection of intelligent components - e.g. classifiers or rule-based firewall systems to detect intrusions and anomalies and to secure a network against viruses, worms, or trojans. However, these network systems rely on individuality and support an architecture with less collab...
1108.2893
Xuebin Wu
Xuebin Wu and Zhiyuan Yan
Reduced-Complexity Decoder of Long Reed-Solomon Codes Based on Composite Cyclotomic Fourier Transforms
7 pages, 1 figure
null
10.1109/TSP.2012.2192435
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Long Reed-Solomon (RS) codes are desirable for digital communication and storage systems due to their improved error performance, but the high computational complexity of their decoders is a key obstacle to their adoption in practice. As discrete Fourier transforms (DFTs) can evaluate a polynomial at multiple points,...
[ { "created": "Sun, 14 Aug 2011 17:41:44 GMT", "version": "v1" } ]
2015-05-30
[ [ "Wu", "Xuebin", "" ], [ "Yan", "Zhiyuan", "" ] ]
Long Reed-Solomon (RS) codes are desirable for digital communication and storage systems due to their improved error performance, but the high computational complexity of their decoders is a key obstacle to their adoption in practice. As discrete Fourier transforms (DFTs) can evaluate a polynomial at multiple points, e...
1506.07688
Snikdho Sworov Haque
Snikdho Sworov Haque, Md. Munjure Mowla
Performance Improvement for Papr Reduction in Lte Downlink System with Elliptic Filtering
10 pages, 11 figures, Published in IJCNC. in International Journal of Computer Networks & Communications (IJCNC) Vol.7, No.1, January 2015
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper is concerned with the performance improvement of PAPR reduction of orthogonal frequency division multiplexing (OFDM) signal using amplitude clipping & filtering based design. Note that OFDM is one of the well adept multi-carrier multiplexing transmission scheme which has been implemented in long term evolu...
[ { "created": "Thu, 25 Jun 2015 10:17:43 GMT", "version": "v1" } ]
2015-06-26
[ [ "Haque", "Snikdho Sworov", "" ], [ "Mowla", "Md. Munjure", "" ] ]
This paper is concerned with the performance improvement of PAPR reduction of orthogonal frequency division multiplexing (OFDM) signal using amplitude clipping & filtering based design. Note that OFDM is one of the well adept multi-carrier multiplexing transmission scheme which has been implemented in long term evoluti...
2309.07103
William Godoy
Pedro Valero-Lara, Alexis Huante, Mustafa Al Lail, William F. Godoy, Keita Teranishi, Prasanna Balaprakash, Jeffrey S. Vetter
Comparing Llama-2 and GPT-3 LLMs for HPC kernels generation
Accepted at LCPC 2023, The 36th International Workshop on Languages and Compilers for Parallel Computing http://www.lcpcworkshop.org/LCPC23/ . 13 pages, 5 figures, 1 table
null
null
null
cs.SE cs.AI cs.DC cs.PL
http://creativecommons.org/licenses/by/4.0/
We evaluate the use of the open-source Llama-2 model for generating well-known, high-performance computing kernels (e.g., AXPY, GEMV, GEMM) on different parallel programming models and languages (e.g., C++: OpenMP, OpenMP Offload, OpenACC, CUDA, HIP; Fortran: OpenMP, OpenMP Offload, OpenACC; Python: numpy, Numba, pyC...
[ { "created": "Tue, 12 Sep 2023 01:19:54 GMT", "version": "v1" } ]
2023-09-14
[ [ "Valero-Lara", "Pedro", "" ], [ "Huante", "Alexis", "" ], [ "Lail", "Mustafa Al", "" ], [ "Godoy", "William F.", "" ], [ "Teranishi", "Keita", "" ], [ "Balaprakash", "Prasanna", "" ], [ "Vetter", "Jeffrey S.", ...
We evaluate the use of the open-source Llama-2 model for generating well-known, high-performance computing kernels (e.g., AXPY, GEMV, GEMM) on different parallel programming models and languages (e.g., C++: OpenMP, OpenMP Offload, OpenACC, CUDA, HIP; Fortran: OpenMP, OpenMP Offload, OpenACC; Python: numpy, Numba, pyCUD...
2204.00762
Lan Wang
Lan Wang and Vishnu Naresh Boddeti
Do learned representations respect causal relationships?
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Data often has many semantic attributes that are causally associated with each other. But do attribute-specific learned representations of data also respect the same causal relations? We answer this question in three steps. First, we introduce NCINet, an approach for observational causal discovery from high-dimension...
[ { "created": "Sat, 2 Apr 2022 04:53:10 GMT", "version": "v1" }, { "created": "Thu, 7 Apr 2022 13:07:41 GMT", "version": "v2" } ]
2022-04-08
[ [ "Wang", "Lan", "" ], [ "Boddeti", "Vishnu Naresh", "" ] ]
Data often has many semantic attributes that are causally associated with each other. But do attribute-specific learned representations of data also respect the same causal relations? We answer this question in three steps. First, we introduce NCINet, an approach for observational causal discovery from high-dimensional...
1605.09551
Vincent Tan
Vincent Y. F. Tan, Masahito Hayashi
Analysis of Remaining Uncertainties and Exponents under Various Conditional R\'{e}nyi Entropies
26 pages; 7 figures; To be presented in part at the 2016 International Symposium on Information Theory (ISIT) in Barcelona, Spain
null
null
null
cs.IT cs.CR math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we analyze the asymptotics of the normalized remaining uncertainty of a source when a compressed or hashed version of it and correlated side-information is observed. For this system, commonly known as Slepian-Wolf source coding, we establish the optimal (minimum) rate of compression of the source to en...
[ { "created": "Tue, 31 May 2016 10:01:17 GMT", "version": "v1" } ]
2016-06-01
[ [ "Tan", "Vincent Y. F.", "" ], [ "Hayashi", "Masahito", "" ] ]
In this paper, we analyze the asymptotics of the normalized remaining uncertainty of a source when a compressed or hashed version of it and correlated side-information is observed. For this system, commonly known as Slepian-Wolf source coding, we establish the optimal (minimum) rate of compression of the source to ensu...
2402.09182
Benjamin Lee
Xingyao Yu and Benjamin Lee and Michael Sedlmair
Design Space of Visual Feedforward And Corrective Feedback in XR-Based Motion Guidance Systems
To appear in ACM CHI 2024
null
10.1145/3613904.3642143
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Extended reality (XR) technologies are highly suited in assisting individuals in learning motor skills and movements -- referred to as motion guidance. In motion guidance, the "feedforward" provides instructional cues of the motions that are to be performed, whereas the "feedback" provides cues which help correct mis...
[ { "created": "Wed, 14 Feb 2024 13:54:34 GMT", "version": "v1" }, { "created": "Fri, 16 Feb 2024 12:52:39 GMT", "version": "v2" } ]
2024-02-19
[ [ "Yu", "Xingyao", "" ], [ "Lee", "Benjamin", "" ], [ "Sedlmair", "Michael", "" ] ]
Extended reality (XR) technologies are highly suited in assisting individuals in learning motor skills and movements -- referred to as motion guidance. In motion guidance, the "feedforward" provides instructional cues of the motions that are to be performed, whereas the "feedback" provides cues which help correct mista...
2012.01403
Minke Xiu
Minke Xiu, Ellis E. Eghan, Zhen Ming (Jack) Jiang, Bram Adams
Empirical Study on the Software Engineering Practices in Open Source ML Package Repositories
null
null
null
null
cs.SE cs.AI
http://creativecommons.org/licenses/by-nc-sa/4.0/
Recent advances in Artificial Intelligence (AI), especially in Machine Learning (ML), have introduced various practical applications (e.g., virtual personal assistants and autonomous cars) that enhance the experience of everyday users. However, modern ML technologies like Deep Learning require considerable technical ...
[ { "created": "Wed, 2 Dec 2020 18:52:56 GMT", "version": "v1" }, { "created": "Tue, 8 Dec 2020 16:02:00 GMT", "version": "v2" } ]
2020-12-09
[ [ "Xiu", "Minke", "", "Jack" ], [ "Eghan", "Ellis E.", "", "Jack" ], [ "Ming", "Zhen", "", "Jack" ], [ "Jiang", "", "" ], [ "Adams", "Bram", "" ] ]
Recent advances in Artificial Intelligence (AI), especially in Machine Learning (ML), have introduced various practical applications (e.g., virtual personal assistants and autonomous cars) that enhance the experience of everyday users. However, modern ML technologies like Deep Learning require considerable technical ex...
1708.05095
Rodrigo Lobos
Rodrigo A. Lobos, Tae Hyung Kim, W. Scott Hoge, Justin P. Haldar
Navigator-free EPI Ghost Correction with Structured Low-Rank Matrix Models: New Theory and Methods
13 pages, 9 figures ; Submitted to IEEE Transactions on Medical Imaging
null
10.1109/TMI.2018.2822053
null
cs.CV cs.IT math.IT physics.med-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Structured low-rank matrix models have previously been introduced to enable calibrationless MR image reconstruction from sub-Nyquist data, and such ideas have recently been extended to enable navigator-free echo-planar imaging (EPI) ghost correction. This paper presents novel theoretical analysis which shows that, be...
[ { "created": "Wed, 16 Aug 2017 22:11:50 GMT", "version": "v1" }, { "created": "Mon, 20 Nov 2017 02:57:45 GMT", "version": "v2" }, { "created": "Tue, 6 Mar 2018 01:41:59 GMT", "version": "v3" } ]
2019-02-11
[ [ "Lobos", "Rodrigo A.", "" ], [ "Kim", "Tae Hyung", "" ], [ "Hoge", "W. Scott", "" ], [ "Haldar", "Justin P.", "" ] ]
Structured low-rank matrix models have previously been introduced to enable calibrationless MR image reconstruction from sub-Nyquist data, and such ideas have recently been extended to enable navigator-free echo-planar imaging (EPI) ghost correction. This paper presents novel theoretical analysis which shows that, beca...
2302.02754
Shuche Wang
Shuche Wang, Van Khu Vu, Vincent Y. F. Tan
Codes for Correcting $t$ Limited-Magnitude Sticky Deletions
arXiv admin note: substantial text overlap with arXiv:2301.11680
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Codes for correcting sticky insertions/deletions and limited-magnitude errors have attracted significant attention due to their applications of flash memories, racetrack memories, and DNA data storage systems. In this paper, we first consider the error type of $t$-sticky deletions with $\ell$-limited-magnitude and pr...
[ { "created": "Mon, 6 Feb 2023 13:01:51 GMT", "version": "v1" } ]
2023-02-07
[ [ "Wang", "Shuche", "" ], [ "Vu", "Van Khu", "" ], [ "Tan", "Vincent Y. F.", "" ] ]
Codes for correcting sticky insertions/deletions and limited-magnitude errors have attracted significant attention due to their applications of flash memories, racetrack memories, and DNA data storage systems. In this paper, we first consider the error type of $t$-sticky deletions with $\ell$-limited-magnitude and prop...
2309.05845
Mengjia Niu
Mengjia Niu, Yuchen Zhao, Hamed Haddadi
Effective Abnormal Activity Detection on Multivariate Time Series Healthcare Data
Poster accepted by the 29th Annual International Conference On Mobile Computing And Networking (ACM MobiCom 2023)
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multivariate time series (MTS) data collected from multiple sensors provide the potential for accurate abnormal activity detection in smart healthcare scenarios. However, anomalies exhibit diverse patterns and become unnoticeable in MTS data. Consequently, achieving accurate anomaly detection is challenging since we ...
[ { "created": "Mon, 11 Sep 2023 22:08:09 GMT", "version": "v1" } ]
2023-09-13
[ [ "Niu", "Mengjia", "" ], [ "Zhao", "Yuchen", "" ], [ "Haddadi", "Hamed", "" ] ]
Multivariate time series (MTS) data collected from multiple sensors provide the potential for accurate abnormal activity detection in smart healthcare scenarios. However, anomalies exhibit diverse patterns and become unnoticeable in MTS data. Consequently, achieving accurate anomaly detection is challenging since we ha...
1802.05176
Paulo Ferreira
Paulo Ferreira
Sampling Superquadric Point Clouds with Normals
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Superquadrics provide a compact representation of common shapes and have been used both for object/surface modelling in computer graphics and as object-part representation in computer vision and robotics. Superquadrics refer to a family of shapes: here we deal with the superellipsoids and superparaboloids. Due to the...
[ { "created": "Wed, 14 Feb 2018 16:04:27 GMT", "version": "v1" } ]
2018-02-15
[ [ "Ferreira", "Paulo", "" ] ]
Superquadrics provide a compact representation of common shapes and have been used both for object/surface modelling in computer graphics and as object-part representation in computer vision and robotics. Superquadrics refer to a family of shapes: here we deal with the superellipsoids and superparaboloids. Due to the s...
2107.02826
Shohin Mukherjee
Shohin Mukherjee, Sandip Aine, Maxim Likhachev
MPLP: Massively Parallelized Lazy Planning
IEEE Robotics and Automation Letters (RA-L) 2022
in IEEE Robotics and Automation Letters, vol. 7, no. 3, pp. 6067-6074, July 2022
10.1109/LRA.2022.3157544
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Lazy search algorithms have been developed to efficiently solve planning problems in domains where the computational effort is dominated by the cost of edge evaluation. The existing algorithms operate by intelligently balancing computational effort between searching the graph and evaluating edges. However, they are d...
[ { "created": "Tue, 6 Jul 2021 18:17:02 GMT", "version": "v1" }, { "created": "Thu, 2 Sep 2021 20:44:26 GMT", "version": "v2" }, { "created": "Mon, 28 Feb 2022 21:17:45 GMT", "version": "v3" }, { "created": "Fri, 13 Jan 2023 02:06:23 GMT", "version": "v4" } ]
2023-01-16
[ [ "Mukherjee", "Shohin", "" ], [ "Aine", "Sandip", "" ], [ "Likhachev", "Maxim", "" ] ]
Lazy search algorithms have been developed to efficiently solve planning problems in domains where the computational effort is dominated by the cost of edge evaluation. The existing algorithms operate by intelligently balancing computational effort between searching the graph and evaluating edges. However, they are des...
1601.00846
Mohammad Khodaei
Mohammad Khodaei, Hongyu Jin, and Panos Papadimitratos
Towards Deploying a Scalable & Robust Vehicular Identity and Credential Management Infrastructure
8 pages, 13 figures, IEEE Vehicular Networking Conference (VNC). IEEE VNC, Dec. 2014, pp. 33-40
null
10.1109/VNC.2014.7013306
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Several years of academic and industrial research efforts have converged to a common understanding on fundamental security building blocks for the upcoming Vehicular Communication (VC) systems. There is a growing consensus towards deploying a Vehicular Public-Key Infrastructure (VPKI) enables pseudonymous authenticat...
[ { "created": "Tue, 5 Jan 2016 14:35:24 GMT", "version": "v1" } ]
2016-01-06
[ [ "Khodaei", "Mohammad", "" ], [ "Jin", "Hongyu", "" ], [ "Papadimitratos", "Panos", "" ] ]
Several years of academic and industrial research efforts have converged to a common understanding on fundamental security building blocks for the upcoming Vehicular Communication (VC) systems. There is a growing consensus towards deploying a Vehicular Public-Key Infrastructure (VPKI) enables pseudonymous authenticatio...
1905.07339
Hang Zou
Hang Zou, Chao Zhang, Samson Lasaulce, Lucas Saludjian and Patrick Panciatici
Decision-Oriented Communications: Application to Energy-Efficient Resource Allocation
null
WINCOM2018
10.1109/WINCOM.2018.8629632
null
cs.LG cs.NI stat.ML
http://creativecommons.org/licenses/by-sa/4.0/
In this paper, we introduce the problem of decision-oriented communications, that is, the goal of the source is to send the right amount of information in order for the intended destination to execute a task. More specifically, we restrict our attention to how the source should quantize information so that the destin...
[ { "created": "Fri, 17 May 2019 15:55:07 GMT", "version": "v1" } ]
2019-05-20
[ [ "Zou", "Hang", "" ], [ "Zhang", "Chao", "" ], [ "Lasaulce", "Samson", "" ], [ "Saludjian", "Lucas", "" ], [ "Panciatici", "Patrick", "" ] ]
In this paper, we introduce the problem of decision-oriented communications, that is, the goal of the source is to send the right amount of information in order for the intended destination to execute a task. More specifically, we restrict our attention to how the source should quantize information so that the destinat...
2403.17826
Marcel Steinmetz
Gregor Behnke, Marcel Steinmetz
On the Computational Complexity of Stackelberg Planning and Meta-Operator Verification: Technical Report
Presented at ICAPS24
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
Stackelberg planning is a recently introduced single-turn two-player adversarial planning model, where two players are acting in a joint classical planning task, the objective of the first player being hampering the second player from achieving its goal. This places the Stackelberg planning problem somewhere between ...
[ { "created": "Tue, 26 Mar 2024 16:06:33 GMT", "version": "v1" } ]
2024-03-27
[ [ "Behnke", "Gregor", "" ], [ "Steinmetz", "Marcel", "" ] ]
Stackelberg planning is a recently introduced single-turn two-player adversarial planning model, where two players are acting in a joint classical planning task, the objective of the first player being hampering the second player from achieving its goal. This places the Stackelberg planning problem somewhere between cl...
2201.02304
Yan Shipeng
Shipeng Yan, Songyang Zhang, Xuming He
Budget-aware Few-shot Learning via Graph Convolutional Network
null
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
This paper tackles the problem of few-shot learning, which aims to learn new visual concepts from a few examples. A common problem setting in few-shot classification assumes random sampling strategy in acquiring data labels, which is inefficient in practical applications. In this work, we introduce a new budget-aware...
[ { "created": "Fri, 7 Jan 2022 02:46:35 GMT", "version": "v1" } ]
2022-01-10
[ [ "Yan", "Shipeng", "" ], [ "Zhang", "Songyang", "" ], [ "He", "Xuming", "" ] ]
This paper tackles the problem of few-shot learning, which aims to learn new visual concepts from a few examples. A common problem setting in few-shot classification assumes random sampling strategy in acquiring data labels, which is inefficient in practical applications. In this work, we introduce a new budget-aware f...
2209.09493
Marek Gagolewski
Marek Gagolewski
A framework for benchmarking clustering algorithms
This preprint includes some minor corrections
SoftwareX 20 (2022) 101270
10.1016/j.softx.2022.101270
null
cs.LG stat.ML
http://creativecommons.org/licenses/by/4.0/
The evaluation of clustering algorithms can involve running them on a variety of benchmark problems, and comparing their outputs to the reference, ground-truth groupings provided by experts. Unfortunately, many research papers and graduate theses consider only a small number of datasets. Also, the fact that there can...
[ { "created": "Tue, 20 Sep 2022 06:10:41 GMT", "version": "v1" }, { "created": "Mon, 12 Dec 2022 22:53:54 GMT", "version": "v2" }, { "created": "Wed, 25 Oct 2023 22:32:18 GMT", "version": "v3" } ]
2023-10-27
[ [ "Gagolewski", "Marek", "" ] ]
The evaluation of clustering algorithms can involve running them on a variety of benchmark problems, and comparing their outputs to the reference, ground-truth groupings provided by experts. Unfortunately, many research papers and graduate theses consider only a small number of datasets. Also, the fact that there can b...
0903.0548
Li Chia Choo
Li-Chia Choo and Kai-Kit Wong
On the 3-Receiver Broadcast Channel with Degraded Message Sets and Confidential Messages
Revised version submiitted to IEEE Transactions on Information Theory
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, bounds to the rate-equivocation region for the general 3-receiver broadcast channel (BC) with degraded message sets, are presented for confidential messages to be kept secret from one of the receivers. This model is more general than the 2-receiver BCs with confidential messages with an external wireta...
[ { "created": "Tue, 3 Mar 2009 14:53:11 GMT", "version": "v1" }, { "created": "Tue, 27 Oct 2009 16:10:28 GMT", "version": "v2" } ]
2009-10-27
[ [ "Choo", "Li-Chia", "" ], [ "Wong", "Kai-Kit", "" ] ]
In this paper, bounds to the rate-equivocation region for the general 3-receiver broadcast channel (BC) with degraded message sets, are presented for confidential messages to be kept secret from one of the receivers. This model is more general than the 2-receiver BCs with confidential messages with an external wiretapp...
2304.09677
Ashkan Mirzaei
Ashkan Mirzaei, Tristan Aumentado-Armstrong, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski
Reference-guided Controllable Inpainting of Neural Radiance Fields
Project Page: https://ashmrz.github.io/reference-guided-3d
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The popularity of Neural Radiance Fields (NeRFs) for view synthesis has led to a desire for NeRF editing tools. Here, we focus on inpainting regions in a view-consistent and controllable manner. In addition to the typical NeRF inputs and masks delineating the unwanted region in each view, we require only a single inp...
[ { "created": "Wed, 19 Apr 2023 14:11:21 GMT", "version": "v1" }, { "created": "Thu, 20 Apr 2023 15:19:12 GMT", "version": "v2" } ]
2023-04-21
[ [ "Mirzaei", "Ashkan", "" ], [ "Aumentado-Armstrong", "Tristan", "" ], [ "Brubaker", "Marcus A.", "" ], [ "Kelly", "Jonathan", "" ], [ "Levinshtein", "Alex", "" ], [ "Derpanis", "Konstantinos G.", "" ], [ "Gilitschen...
The popularity of Neural Radiance Fields (NeRFs) for view synthesis has led to a desire for NeRF editing tools. Here, we focus on inpainting regions in a view-consistent and controllable manner. In addition to the typical NeRF inputs and masks delineating the unwanted region in each view, we require only a single inpai...
2103.07246
Beomyoung Kim
Beomyoung Kim, Sangeun Han, Junmo Kim
Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation
AAAI 2021, Accepted
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Weakly-supervised semantic segmentation (WSSS) using image-level labels has recently attracted much attention for reducing annotation costs. Existing WSSS methods utilize localization maps from the classification network to generate pseudo segmentation labels. However, since localization maps obtained from the classi...
[ { "created": "Fri, 12 Mar 2021 12:56:06 GMT", "version": "v1" }, { "created": "Mon, 5 Apr 2021 09:09:41 GMT", "version": "v2" } ]
2021-04-06
[ [ "Kim", "Beomyoung", "" ], [ "Han", "Sangeun", "" ], [ "Kim", "Junmo", "" ] ]
Weakly-supervised semantic segmentation (WSSS) using image-level labels has recently attracted much attention for reducing annotation costs. Existing WSSS methods utilize localization maps from the classification network to generate pseudo segmentation labels. However, since localization maps obtained from the classifi...
0808.4156
Shirin Jalali
Shirin Jalali, Tsachy Weissman
Rate-Distortion via Markov Chain Monte Carlo
35 pages, 16 figures, Submitted to IEEE Transactions on Information Theory
null
10.1109/ISIT.2008.4595107
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose an approach to lossy source coding, utilizing ideas from Gibbs sampling, simulated annealing, and Markov Chain Monte Carlo (MCMC). The idea is to sample a reconstruction sequence from a Boltzmann distribution associated with an energy function that incorporates the distortion between the source and reconst...
[ { "created": "Fri, 29 Aug 2008 19:23:16 GMT", "version": "v1" }, { "created": "Fri, 7 May 2010 18:02:18 GMT", "version": "v2" } ]
2016-11-17
[ [ "Jalali", "Shirin", "" ], [ "Weissman", "Tsachy", "" ] ]
We propose an approach to lossy source coding, utilizing ideas from Gibbs sampling, simulated annealing, and Markov Chain Monte Carlo (MCMC). The idea is to sample a reconstruction sequence from a Boltzmann distribution associated with an energy function that incorporates the distortion between the source and reconstru...
2310.01088
Kentaro Mitsui
Kentaro Mitsui, Yukiya Hono, Kei Sawada
Towards human-like spoken dialogue generation between AI agents from written dialogue
18 pages, 8 figures, 9 tables, audio samples: https://rinnakk.github.io/research/publications/CHATS/
null
null
null
cs.CL cs.LG cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The advent of large language models (LLMs) has made it possible to generate natural written dialogues between two agents. However, generating human-like spoken dialogues from these written dialogues remains challenging. Spoken dialogues have several unique characteristics: they frequently include backchannels and lau...
[ { "created": "Mon, 2 Oct 2023 11:03:20 GMT", "version": "v1" } ]
2023-10-03
[ [ "Mitsui", "Kentaro", "" ], [ "Hono", "Yukiya", "" ], [ "Sawada", "Kei", "" ] ]
The advent of large language models (LLMs) has made it possible to generate natural written dialogues between two agents. However, generating human-like spoken dialogues from these written dialogues remains challenging. Spoken dialogues have several unique characteristics: they frequently include backchannels and laugh...
2106.00477
Antti Koskela
Antti Koskela, Mikko A. Heikkil\"a, Antti Honkela
Tight Accounting in the Shuffle Model of Differential Privacy
21 pages, 5 figures
null
null
null
cs.CR cs.LG stat.ML
http://creativecommons.org/licenses/by/4.0/
Shuffle model of differential privacy is a novel distributed privacy model based on a combination of local privacy mechanisms and a secure shuffler. It has been shown that the additional randomisation provided by the shuffler improves privacy bounds compared to the purely local mechanisms. Accounting tight bounds, ho...
[ { "created": "Tue, 1 Jun 2021 13:30:32 GMT", "version": "v1" }, { "created": "Wed, 3 Nov 2021 14:47:36 GMT", "version": "v2" }, { "created": "Mon, 31 Jan 2022 21:38:37 GMT", "version": "v3" } ]
2022-02-02
[ [ "Koskela", "Antti", "" ], [ "Heikkilä", "Mikko A.", "" ], [ "Honkela", "Antti", "" ] ]
Shuffle model of differential privacy is a novel distributed privacy model based on a combination of local privacy mechanisms and a secure shuffler. It has been shown that the additional randomisation provided by the shuffler improves privacy bounds compared to the purely local mechanisms. Accounting tight bounds, howe...
2005.11040
Yuki Ueda
Yuki Ueda, Takashi Ishio, Akinori Ihara, Kenichi Matsumoto
DevReplay: Automatic Repair with Editable Fix Pattern
null
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Static analysis tools, or linters, detect violation of source code conventions to maintain project readability. Those tools automatically fix specific violations while developers edit the source code. However, existing tools are designed for the general conventions of programming languages. These tools do not check t...
[ { "created": "Fri, 22 May 2020 07:36:08 GMT", "version": "v1" } ]
2020-05-25
[ [ "Ueda", "Yuki", "" ], [ "Ishio", "Takashi", "" ], [ "Ihara", "Akinori", "" ], [ "Matsumoto", "Kenichi", "" ] ]
Static analysis tools, or linters, detect violation of source code conventions to maintain project readability. Those tools automatically fix specific violations while developers edit the source code. However, existing tools are designed for the general conventions of programming languages. These tools do not check the...
1609.00833
Nan Liu
Tianyu Yang, Nan Liu, Wei Kang, Shlomo Shamai
An Upper Bound on the Sum Capacity of the Downlink Multicell Processing with Finite Backhaul Capacity
23 pages, 4 figures
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we study upper bounds on the sum capacity of the downlink multicell processing model with finite backhaul capacity for the simple case of 2 base stations and 2 mobile users. It is modelled as a two-user multiple access diamond channel. It consists of a first hop from the central processor to the base s...
[ { "created": "Sat, 3 Sep 2016 14:52:21 GMT", "version": "v1" } ]
2016-09-06
[ [ "Yang", "Tianyu", "" ], [ "Liu", "Nan", "" ], [ "Kang", "Wei", "" ], [ "Shamai", "Shlomo", "" ] ]
In this paper, we study upper bounds on the sum capacity of the downlink multicell processing model with finite backhaul capacity for the simple case of 2 base stations and 2 mobile users. It is modelled as a two-user multiple access diamond channel. It consists of a first hop from the central processor to the base sta...
2406.20085
Yicheng Chen
Yicheng Chen, Xiangtai Li, Yining Li, Yanhong Zeng, Jianzong Wu, Xiangyu Zhao, Kai Chen
Auto Cherry-Picker: Learning from High-quality Generative Data Driven by Language
19 pages, 7 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Diffusion-based models have shown great potential in generating high-quality images with various layouts, which can benefit downstream perception tasks. However, a fully automatic layout generation driven only by language and a suitable metric for measuring multiple generated instances has not been well explored. In ...
[ { "created": "Fri, 28 Jun 2024 17:53:18 GMT", "version": "v1" } ]
2024-07-01
[ [ "Chen", "Yicheng", "" ], [ "Li", "Xiangtai", "" ], [ "Li", "Yining", "" ], [ "Zeng", "Yanhong", "" ], [ "Wu", "Jianzong", "" ], [ "Zhao", "Xiangyu", "" ], [ "Chen", "Kai", "" ] ]
Diffusion-based models have shown great potential in generating high-quality images with various layouts, which can benefit downstream perception tasks. However, a fully automatic layout generation driven only by language and a suitable metric for measuring multiple generated instances has not been well explored. In th...
2211.11682
Xiangyang Zhu
Xiangyang Zhu, Renrui Zhang, Bowei He, Ziyu Guo, Ziyao Zeng, Zipeng Qin, Shanghang Zhang, Peng Gao
PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning
Code is available at https://github.com/yangyangyang127/PointCLIP_V2
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large-scale pre-trained models have shown promising open-world performance for both vision and language tasks. However, their transferred capacity on 3D point clouds is still limited and only constrained to the classification task. In this paper, we first collaborate CLIP and GPT to be a unified 3D open-world learner...
[ { "created": "Mon, 21 Nov 2022 17:52:43 GMT", "version": "v1" }, { "created": "Sat, 26 Aug 2023 16:14:09 GMT", "version": "v2" } ]
2023-08-29
[ [ "Zhu", "Xiangyang", "" ], [ "Zhang", "Renrui", "" ], [ "He", "Bowei", "" ], [ "Guo", "Ziyu", "" ], [ "Zeng", "Ziyao", "" ], [ "Qin", "Zipeng", "" ], [ "Zhang", "Shanghang", "" ], [ "Gao", "Peng"...
Large-scale pre-trained models have shown promising open-world performance for both vision and language tasks. However, their transferred capacity on 3D point clouds is still limited and only constrained to the classification task. In this paper, we first collaborate CLIP and GPT to be a unified 3D open-world learner, ...
2007.02370
Adel Nabli
Adel Nabli, Margarida Carvalho, Pierre Hosteins
Complexity of the Multilevel Critical Node Problem
null
null
null
null
cs.CC cs.DM cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work, we analyze a sequential game played in a graph called the Multilevel Critical Node problem (MCN). A defender and an attacker are the players of this game. The defender starts by preventively interdicting vertices (vaccination) from being attacked. Then, the attacker infects a subset of non-vaccinated ve...
[ { "created": "Sun, 5 Jul 2020 15:54:53 GMT", "version": "v1" }, { "created": "Fri, 2 Oct 2020 14:22:48 GMT", "version": "v2" } ]
2020-10-05
[ [ "Nabli", "Adel", "" ], [ "Carvalho", "Margarida", "" ], [ "Hosteins", "Pierre", "" ] ]
In this work, we analyze a sequential game played in a graph called the Multilevel Critical Node problem (MCN). A defender and an attacker are the players of this game. The defender starts by preventively interdicting vertices (vaccination) from being attacked. Then, the attacker infects a subset of non-vaccinated vert...
1605.03079
Wassim Jerbi
Wassim Jerbi, Abderrahmen Guermazi, Hafedh Trabelsi
A novel clustering algorithm for coverage a large scale in WSN
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The applications require coverage of the whole monitored area for long periods of time. Clustering is a way to reduce communications, minimize energy consumption and organize messages among the cluster head and their members. The message exchange of communication and data transmission between the different sensor nod...
[ { "created": "Tue, 10 May 2016 16:16:13 GMT", "version": "v1" } ]
2016-05-11
[ [ "Jerbi", "Wassim", "" ], [ "Guermazi", "Abderrahmen", "" ], [ "Trabelsi", "Hafedh", "" ] ]
The applications require coverage of the whole monitored area for long periods of time. Clustering is a way to reduce communications, minimize energy consumption and organize messages among the cluster head and their members. The message exchange of communication and data transmission between the different sensor nodes...
2011.13200
Sourav Dutta
Silviu Oprea and Sourav Dutta and Haytham Assem
Unsupervised Word Translation Pairing using Refinement based Point Set Registration
null
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
Cross-lingual alignment of word embeddings play an important role in knowledge transfer across languages, for improving machine translation and other multi-lingual applications. Current unsupervised approaches rely on similarities in geometric structure of word embedding spaces across languages, to learn structure-pr...
[ { "created": "Thu, 26 Nov 2020 09:51:29 GMT", "version": "v1" } ]
2020-11-30
[ [ "Oprea", "Silviu", "" ], [ "Dutta", "Sourav", "" ], [ "Assem", "Haytham", "" ] ]
Cross-lingual alignment of word embeddings play an important role in knowledge transfer across languages, for improving machine translation and other multi-lingual applications. Current unsupervised approaches rely on similarities in geometric structure of word embedding spaces across languages, to learn structure-pres...