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2311.08725
Rafael Frongillo
Adithya Bhaskara, Rafael Frongillo, Maneesha Papireddygari
A General Theory of Liquidity Provisioning for Automated Market Makers
null
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In decentralized finance, it is common for automated market makers to provision liquidity from external parties. The market maker rewards these liquidity providers with a cut of the trading fees, in exchange for the risk they take on. A handful of protocols for liquidity provisioning have been proposed, such as Unisw...
[ { "created": "Wed, 15 Nov 2023 06:35:50 GMT", "version": "v1" } ]
2023-11-16
[ [ "Bhaskara", "Adithya", "" ], [ "Frongillo", "Rafael", "" ], [ "Papireddygari", "Maneesha", "" ] ]
In decentralized finance, it is common for automated market makers to provision liquidity from external parties. The market maker rewards these liquidity providers with a cut of the trading fees, in exchange for the risk they take on. A handful of protocols for liquidity provisioning have been proposed, such as Uniswap...
1610.09428
Moontae Lee
Moontae Lee, Seok Hyun Jin, David Mimno
Beyond Exchangeability: The Chinese Voting Process
null
null
null
null
cs.LG cs.IR cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Many online communities present user-contributed responses such as reviews of products and answers to questions. User-provided helpfulness votes can highlight the most useful responses, but voting is a social process that can gain momentum based on the popularity of responses and the polarity of existing votes. We pr...
[ { "created": "Fri, 28 Oct 2016 23:38:22 GMT", "version": "v1" } ]
2016-11-03
[ [ "Lee", "Moontae", "" ], [ "Jin", "Seok Hyun", "" ], [ "Mimno", "David", "" ] ]
Many online communities present user-contributed responses such as reviews of products and answers to questions. User-provided helpfulness votes can highlight the most useful responses, but voting is a social process that can gain momentum based on the popularity of responses and the polarity of existing votes. We prop...
1802.10403
Daniel Vaz
Parinya Chalermsook, Syamantak Das, Guy Even, Bundit Laekhanukit, Daniel Vaz
Survivable Network Design for Group Connectivity in Low-Treewidth Graphs
28 pages, 2 figures
null
null
null
cs.DS cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the Group Steiner Tree problem (GST), we are given a (vertex or edge)-weighted graph $G=(V,E)$ on $n$ vertices, a root vertex $r$ and a collection of groups $\{S_i\}_{i\in[h]}: S_i\subseteq V(G)$. The goal is to find a min-cost subgraph $H$ that connects the root to every group. We consider a fault-tolerant varian...
[ { "created": "Wed, 28 Feb 2018 13:38:40 GMT", "version": "v1" } ]
2018-03-01
[ [ "Chalermsook", "Parinya", "" ], [ "Das", "Syamantak", "" ], [ "Even", "Guy", "" ], [ "Laekhanukit", "Bundit", "" ], [ "Vaz", "Daniel", "" ] ]
In the Group Steiner Tree problem (GST), we are given a (vertex or edge)-weighted graph $G=(V,E)$ on $n$ vertices, a root vertex $r$ and a collection of groups $\{S_i\}_{i\in[h]}: S_i\subseteq V(G)$. The goal is to find a min-cost subgraph $H$ that connects the root to every group. We consider a fault-tolerant variant ...
2107.04061
Jacob Gardner
Misha Padidar, Xinran Zhu, Leo Huang, Jacob R. Gardner, David Bindel
Scaling Gaussian Processes with Derivative Information Using Variational Inference
null
null
null
null
cs.LG cs.AI stat.ML
http://creativecommons.org/licenses/by-sa/4.0/
Gaussian processes with derivative information are useful in many settings where derivative information is available, including numerous Bayesian optimization and regression tasks that arise in the natural sciences. Incorporating derivative observations, however, comes with a dominating $O(N^3D^3)$ computational cost...
[ { "created": "Thu, 8 Jul 2021 18:23:59 GMT", "version": "v1" } ]
2021-07-12
[ [ "Padidar", "Misha", "" ], [ "Zhu", "Xinran", "" ], [ "Huang", "Leo", "" ], [ "Gardner", "Jacob R.", "" ], [ "Bindel", "David", "" ] ]
Gaussian processes with derivative information are useful in many settings where derivative information is available, including numerous Bayesian optimization and regression tasks that arise in the natural sciences. Incorporating derivative observations, however, comes with a dominating $O(N^3D^3)$ computational cost w...
1909.09702
Karan Aggarwal
Swaraj Khadanga, Karan Aggarwal, Shafiq Joty, Jaideep Srivastava
Using Clinical Notes with Time Series Data for ICU Management
Accepted at EMNLP 2019
null
null
null
cs.CL cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Monitoring patients in ICU is a challenging and high-cost task. Hence, predicting the condition of patients during their ICU stay can help provide better acute care and plan the hospital's resources. There has been continuous progress in machine learning research for ICU management, and most of this work has focused ...
[ { "created": "Thu, 12 Sep 2019 04:27:32 GMT", "version": "v1" }, { "created": "Thu, 2 Jan 2020 18:21:02 GMT", "version": "v2" } ]
2020-01-03
[ [ "Khadanga", "Swaraj", "" ], [ "Aggarwal", "Karan", "" ], [ "Joty", "Shafiq", "" ], [ "Srivastava", "Jaideep", "" ] ]
Monitoring patients in ICU is a challenging and high-cost task. Hence, predicting the condition of patients during their ICU stay can help provide better acute care and plan the hospital's resources. There has been continuous progress in machine learning research for ICU management, and most of this work has focused on...
2101.07237
Matthew Ferland
Kyle Burke, Matthew Ferland, and Shanghua Teng
Transverse Wave: an impartial color-propagation game inspired by Social Influence and Quantum Nim
29 Pages
null
null
null
cs.CC math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we study a colorful, impartial combinatorial game played on a two-dimensional grid, Transverse Wave. We are drawn to this game because of its apparent simplicity, contrasting intractability, and intrinsic connection to two other combinatorial games, one inspired by social influence and another inspired...
[ { "created": "Mon, 18 Jan 2021 18:45:03 GMT", "version": "v1" }, { "created": "Tue, 19 Jan 2021 20:29:33 GMT", "version": "v2" } ]
2021-01-21
[ [ "Burke", "Kyle", "" ], [ "Ferland", "Matthew", "" ], [ "Teng", "Shanghua", "" ] ]
In this paper, we study a colorful, impartial combinatorial game played on a two-dimensional grid, Transverse Wave. We are drawn to this game because of its apparent simplicity, contrasting intractability, and intrinsic connection to two other combinatorial games, one inspired by social influence and another inspired b...
2408.06248
Andrew Freeman
Andrew Freeman
Rethinking Video with a Universal Event-Based Representation
137 pages. PhD dissertation at the University of North Carolina, Chapel Hill
null
null
null
cs.MM cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Traditionally, video is structured as a sequence of discrete image frames. Recently, however, a novel video sensing paradigm has emerged which eschews video frames entirely. These "event" sensors aim to mimic the human vision system with asynchronous sensing, where each pixel has an independent, sparse data stream. W...
[ { "created": "Mon, 12 Aug 2024 16:00:17 GMT", "version": "v1" } ]
2024-08-13
[ [ "Freeman", "Andrew", "" ] ]
Traditionally, video is structured as a sequence of discrete image frames. Recently, however, a novel video sensing paradigm has emerged which eschews video frames entirely. These "event" sensors aim to mimic the human vision system with asynchronous sensing, where each pixel has an independent, sparse data stream. Whi...
2109.12756
Md Tahmid Hossain
Md Tahmid Hossain, Shyh Wei Teng, Guojun Lu, Ferdous Sohel
A novel network training approach for open set image recognition
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Convolutional Neural Networks (CNNs) are commonly designed for closed set arrangements, where test instances only belong to some "Known Known" (KK) classes used in training. As such, they predict a class label for a test sample based on the distribution of the KK classes. However, when used under the Open Set Recogni...
[ { "created": "Mon, 27 Sep 2021 01:47:21 GMT", "version": "v1" } ]
2021-10-04
[ [ "Hossain", "Md Tahmid", "" ], [ "Teng", "Shyh Wei", "" ], [ "Lu", "Guojun", "" ], [ "Sohel", "Ferdous", "" ] ]
Convolutional Neural Networks (CNNs) are commonly designed for closed set arrangements, where test instances only belong to some "Known Known" (KK) classes used in training. As such, they predict a class label for a test sample based on the distribution of the KK classes. However, when used under the Open Set Recogniti...
2304.01603
Yongxin Zhu
Yongxin Zhu, Zhen Liu, Yukang Liang, Xin Li, Hao Liu, Changcun Bao, Linli Xu
Locate Then Generate: Bridging Vision and Language with Bounding Box for Scene-Text VQA
accepted in AAAI 2023
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by/4.0/
In this paper, we propose a novel multi-modal framework for Scene Text Visual Question Answering (STVQA), which requires models to read scene text in images for question answering. Apart from text or visual objects, which could exist independently, scene text naturally links text and visual modalities together by con...
[ { "created": "Tue, 4 Apr 2023 07:46:40 GMT", "version": "v1" } ]
2023-04-05
[ [ "Zhu", "Yongxin", "" ], [ "Liu", "Zhen", "" ], [ "Liang", "Yukang", "" ], [ "Li", "Xin", "" ], [ "Liu", "Hao", "" ], [ "Bao", "Changcun", "" ], [ "Xu", "Linli", "" ] ]
In this paper, we propose a novel multi-modal framework for Scene Text Visual Question Answering (STVQA), which requires models to read scene text in images for question answering. Apart from text or visual objects, which could exist independently, scene text naturally links text and visual modalities together by conve...
1612.02606
Abel Gawel
Abel Gawel, Mina Kamel, Tonci Novkovic, Jakob Widauer, Dominik Schindler, Benjamin Pfyffer von Altishofen, Roland Siegwart, Juan Nieto
Aerial Picking and Delivery of Magnetic Objects with MAVs
under review for the IEEE International Conference on Robotics and Automation (ICRA) 2017
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Autonomous delivery of goods using a MAV is a difficult problem, as it poses high demand on the MAV's control, perception and manipulation capabilities. This problem is especially challenging if the exact shape, location and configuration of the objects are unknown. In this paper, we report our findings during the de...
[ { "created": "Thu, 8 Dec 2016 11:54:51 GMT", "version": "v1" } ]
2016-12-09
[ [ "Gawel", "Abel", "" ], [ "Kamel", "Mina", "" ], [ "Novkovic", "Tonci", "" ], [ "Widauer", "Jakob", "" ], [ "Schindler", "Dominik", "" ], [ "von Altishofen", "Benjamin Pfyffer", "" ], [ "Siegwart", "Roland", ...
Autonomous delivery of goods using a MAV is a difficult problem, as it poses high demand on the MAV's control, perception and manipulation capabilities. This problem is especially challenging if the exact shape, location and configuration of the objects are unknown. In this paper, we report our findings during the deve...
2007.06993
Kathrin Grosse
Nico D\"ottling, Kathrin Grosse, Michael Backes, Ian Molloy
Adversarial Examples and Metrics
25 pages, 1 figure, under submission, fixe typos from previous version
null
null
null
cs.CR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Adversarial examples are a type of attack on machine learning (ML) systems which cause misclassification of inputs. Achieving robustness against adversarial examples is crucial to apply ML in the real world. While most prior work on adversarial examples is empirical, a recent line of work establishes fundamental limi...
[ { "created": "Tue, 14 Jul 2020 12:20:53 GMT", "version": "v1" }, { "created": "Wed, 15 Jul 2020 11:50:21 GMT", "version": "v2" } ]
2020-07-16
[ [ "Döttling", "Nico", "" ], [ "Grosse", "Kathrin", "" ], [ "Backes", "Michael", "" ], [ "Molloy", "Ian", "" ] ]
Adversarial examples are a type of attack on machine learning (ML) systems which cause misclassification of inputs. Achieving robustness against adversarial examples is crucial to apply ML in the real world. While most prior work on adversarial examples is empirical, a recent line of work establishes fundamental limita...
2406.03684
Xiang Xu
Xiang Xu, Tianchen Zhao, Zheng Zhang, Zhihua Li, Jon Wu, Alessandro Achille, Mani Srivastava
Principles of Designing Robust Remote Face Anti-Spoofing Systems
Under review
null
null
null
cs.CV cs.CR
http://creativecommons.org/licenses/by/4.0/
Protecting digital identities of human face from various attack vectors is paramount, and face anti-spoofing plays a crucial role in this endeavor. Current approaches primarily focus on detecting spoofing attempts within individual frames to detect presentation attacks. However, the emergence of hyper-realistic gener...
[ { "created": "Thu, 6 Jun 2024 02:05:35 GMT", "version": "v1" } ]
2024-06-07
[ [ "Xu", "Xiang", "" ], [ "Zhao", "Tianchen", "" ], [ "Zhang", "Zheng", "" ], [ "Li", "Zhihua", "" ], [ "Wu", "Jon", "" ], [ "Achille", "Alessandro", "" ], [ "Srivastava", "Mani", "" ] ]
Protecting digital identities of human face from various attack vectors is paramount, and face anti-spoofing plays a crucial role in this endeavor. Current approaches primarily focus on detecting spoofing attempts within individual frames to detect presentation attacks. However, the emergence of hyper-realistic generat...
2108.00521
Juhani Risku
Juhani Risku
Improving the performance of early-stage software startups: Design and creativity viewpoints
dissertation, 148 pages + original articles, 37 figures, 8 tables, Appendix
null
null
399
cs.SE
http://creativecommons.org/licenses/by-nc-nd/4.0/
Over the last 20 years, a very large number of startups have been launched, ranging from mobile application and game providers to enormous corporations that have started as tiny startups. Startups are an important topic for research and development. The fundamentals of success are the characteristics of individuals a...
[ { "created": "Sun, 1 Aug 2021 18:46:25 GMT", "version": "v1" } ]
2021-08-21
[ [ "Risku", "Juhani", "" ] ]
Over the last 20 years, a very large number of startups have been launched, ranging from mobile application and game providers to enormous corporations that have started as tiny startups. Startups are an important topic for research and development. The fundamentals of success are the characteristics of individuals and...
1206.2307
Sugata Sanyal
Manoj Rameshchandra Thakur, Sugata Sanyal
A PAXOS based State Machine Replication System for Anomaly Detection
9 pages, 4 figures
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A number of systems in recent times suffer from attacks like DDoS and Ping of Death. Such attacks result in loss of critical system resources and CPU cycles, as these compromised systems behave in an abnormal manner. The effect of such abnormalities is worse in case of compromised systems handling financial transacti...
[ { "created": "Mon, 11 Jun 2012 18:28:21 GMT", "version": "v1" } ]
2012-06-12
[ [ "Thakur", "Manoj Rameshchandra", "" ], [ "Sanyal", "Sugata", "" ] ]
A number of systems in recent times suffer from attacks like DDoS and Ping of Death. Such attacks result in loss of critical system resources and CPU cycles, as these compromised systems behave in an abnormal manner. The effect of such abnormalities is worse in case of compromised systems handling financial transaction...
2406.15268
Lynn Vonderhaar
Lynn Vonderhaar, Timothy Elvira, Tyler Procko, Omar Ochoa
Towards Robust Training Datasets for Machine Learning with Ontologies: A Case Study for Emergency Road Vehicle Detection
null
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Countless domains rely on Machine Learning (ML) models, including safety-critical domains, such as autonomous driving, which this paper focuses on. While the black box nature of ML is simply a nuisance in some domains, in safety-critical domains, this makes ML models difficult to trust. To fully utilize ML models in ...
[ { "created": "Fri, 21 Jun 2024 16:03:38 GMT", "version": "v1" } ]
2024-06-24
[ [ "Vonderhaar", "Lynn", "" ], [ "Elvira", "Timothy", "" ], [ "Procko", "Tyler", "" ], [ "Ochoa", "Omar", "" ] ]
Countless domains rely on Machine Learning (ML) models, including safety-critical domains, such as autonomous driving, which this paper focuses on. While the black box nature of ML is simply a nuisance in some domains, in safety-critical domains, this makes ML models difficult to trust. To fully utilize ML models in sa...
1203.3269
B.Sundar Rajan
Vishnu Namboodiri and B. Sundar Rajan
Physical Layer Network Coding for Two-Way Relaying with QAM and Latin Squares
12 Figures and 3 Tables
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The design of modulation schemes for the physical layer network-coded two way relaying scenario has been extensively studied recently with the protocol which employs two phases: Multiple access (MA) Phase and Broadcast (BC) Phase. It was observed by Koike-Akino et al. that adaptively changing the network coding map u...
[ { "created": "Thu, 15 Mar 2012 05:09:44 GMT", "version": "v1" } ]
2012-03-16
[ [ "Namboodiri", "Vishnu", "" ], [ "Rajan", "B. Sundar", "" ] ]
The design of modulation schemes for the physical layer network-coded two way relaying scenario has been extensively studied recently with the protocol which employs two phases: Multiple access (MA) Phase and Broadcast (BC) Phase. It was observed by Koike-Akino et al. that adaptively changing the network coding map use...
1105.2621
Galen Reeves
Galen Reeves, Naveen Goela, Nebojsa Milosavljevic, and Michael Gastpar
A Compressed Sensing Wire-Tap Channel
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A multiplicative Gaussian wire-tap channel inspired by compressed sensing is studied. Lower and upper bounds on the secrecy capacity are derived, and shown to be relatively tight in the large system limit for a large class of compressed sensing matrices. Surprisingly, it is shown that the secrecy capacity of this cha...
[ { "created": "Fri, 13 May 2011 06:17:33 GMT", "version": "v1" } ]
2015-03-19
[ [ "Reeves", "Galen", "" ], [ "Goela", "Naveen", "" ], [ "Milosavljevic", "Nebojsa", "" ], [ "Gastpar", "Michael", "" ] ]
A multiplicative Gaussian wire-tap channel inspired by compressed sensing is studied. Lower and upper bounds on the secrecy capacity are derived, and shown to be relatively tight in the large system limit for a large class of compressed sensing matrices. Surprisingly, it is shown that the secrecy capacity of this chann...
2310.11777
Jie Zhou
Jie Zhou, Qian Yu
DCRNN: A Deep Cross approach based on RNN for Partial Parameter Sharing in Multi-task Learning
Work done while the first author was an algorithm engineer at Xiaomi Inc
null
null
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In recent years, DL has developed rapidly, and personalized services are exploring using DL algorithms to improve the performance of the recommendation system. For personalized services, a successful recommendation consists of two parts: attracting users to click the item and users being willing to consume the item. ...
[ { "created": "Wed, 18 Oct 2023 08:16:27 GMT", "version": "v1" } ]
2023-10-19
[ [ "Zhou", "Jie", "" ], [ "Yu", "Qian", "" ] ]
In recent years, DL has developed rapidly, and personalized services are exploring using DL algorithms to improve the performance of the recommendation system. For personalized services, a successful recommendation consists of two parts: attracting users to click the item and users being willing to consume the item. If...
2209.00250
Jiatong Li
Jiatong Li, Bin He, Fei Mi
Exploring Effective Information Utilization in Multi-Turn Topic-Driven Conversations
Exploring Chinese Dialogue Systems with external information
null
null
null
cs.CL
http://creativecommons.org/licenses/by-nc-nd/4.0/
Conversations are always related to certain topics. However, it is challenging to fuse dialogue history and topic information from various sources at the same time in current dialogue generation models because of the input length limit of pre-trained language models (PLMs). In order to expand the information that PLM...
[ { "created": "Thu, 1 Sep 2022 06:20:39 GMT", "version": "v1" }, { "created": "Mon, 12 Sep 2022 12:09:25 GMT", "version": "v2" } ]
2022-09-13
[ [ "Li", "Jiatong", "" ], [ "He", "Bin", "" ], [ "Mi", "Fei", "" ] ]
Conversations are always related to certain topics. However, it is challenging to fuse dialogue history and topic information from various sources at the same time in current dialogue generation models because of the input length limit of pre-trained language models (PLMs). In order to expand the information that PLMs ...
1004.1830
Maurice Margenstern
Maurice Margenstern
About the embedding of one dimensional cellular automata into hyperbolic cellular automata
19 pages, 9 figures
null
null
null
cs.FL nlin.CG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we look at two ways to implement determinisitic one dimensional cellular automata into hyperbolic cellular automata in three contexts: the pentagrid, the heptagrid and the dodecagrid, these tilings being classically denoted by $\{5,4\}$, $\{7,3\}$ and $\{5,3,4\}$ respectively.
[ { "created": "Sun, 11 Apr 2010 18:35:11 GMT", "version": "v1" } ]
2010-04-13
[ [ "Margenstern", "Maurice", "" ] ]
In this paper, we look at two ways to implement determinisitic one dimensional cellular automata into hyperbolic cellular automata in three contexts: the pentagrid, the heptagrid and the dodecagrid, these tilings being classically denoted by $\{5,4\}$, $\{7,3\}$ and $\{5,3,4\}$ respectively.
2302.11984
Hui Tang
Hui Tang, Yaowei Wang, and Kui Jia
Unsupervised Domain Adaptation via Distilled Discriminative Clustering
A journal paper published by Pattern Recognition in 2022
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Unsupervised domain adaptation addresses the problem of classifying data in an unlabeled target domain, given labeled source domain data that share a common label space but follow a different distribution. Most of the recent methods take the approach of explicitly aligning feature distributions between the two domain...
[ { "created": "Thu, 23 Feb 2023 13:03:48 GMT", "version": "v1" } ]
2023-02-24
[ [ "Tang", "Hui", "" ], [ "Wang", "Yaowei", "" ], [ "Jia", "Kui", "" ] ]
Unsupervised domain adaptation addresses the problem of classifying data in an unlabeled target domain, given labeled source domain data that share a common label space but follow a different distribution. Most of the recent methods take the approach of explicitly aligning feature distributions between the two domains....
2303.08239
Tomas Kulvicius
Tomas Kulvicius, Sigrun Lang, Claudius AA Widmann, Nina Hansmann, Daniel Holzinger, Luise Poustka, Dajie Zhang and Peter B Marschik
Facilitating deep acoustic phenotyping: A basic coding scheme of infant vocalisations preluding computational analysis, machine learning and clinical reasoning
This paper is in German
null
null
null
cs.SD eess.AS
http://creativecommons.org/licenses/by/4.0/
Theoretical background: early verbal development is not yet fully understood, especially in its formative phase. Research question: can a reliable, easy-to-use coding scheme for the classification of early infant vocalizations be defined that is applicable as a basis for further analysis of language development? Meth...
[ { "created": "Tue, 14 Mar 2023 21:10:48 GMT", "version": "v1" } ]
2023-03-16
[ [ "Kulvicius", "Tomas", "" ], [ "Lang", "Sigrun", "" ], [ "Widmann", "Claudius AA", "" ], [ "Hansmann", "Nina", "" ], [ "Holzinger", "Daniel", "" ], [ "Poustka", "Luise", "" ], [ "Zhang", "Dajie", "" ], [...
Theoretical background: early verbal development is not yet fully understood, especially in its formative phase. Research question: can a reliable, easy-to-use coding scheme for the classification of early infant vocalizations be defined that is applicable as a basis for further analysis of language development? Method...
2401.05566
Evan Hubinger
Evan Hubinger, Carson Denison, Jesse Mu, Mike Lambert, Meg Tong, Monte MacDiarmid, Tamera Lanham, Daniel M. Ziegler, Tim Maxwell, Newton Cheng, Adam Jermyn, Amanda Askell, Ansh Radhakrishnan, Cem Anil, David Duvenaud, Deep Ganguli, Fazl Barez, Jack Clark, Kamal Ndousse, Kshitij Sachan, Michael Sellitto, Mrinank...
Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
updated to add missing acknowledgements
null
null
null
cs.CR cs.AI cs.CL cs.LG cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Humans are capable of strategically deceptive behavior: behaving helpfully in most situations, but then behaving very differently in order to pursue alternative objectives when given the opportunity. If an AI system learned such a deceptive strategy, could we detect it and remove it using current state-of-the-art saf...
[ { "created": "Wed, 10 Jan 2024 22:14:35 GMT", "version": "v1" }, { "created": "Fri, 12 Jan 2024 02:34:39 GMT", "version": "v2" }, { "created": "Wed, 17 Jan 2024 20:26:01 GMT", "version": "v3" } ]
2024-01-19
[ [ "Hubinger", "Evan", "" ], [ "Denison", "Carson", "" ], [ "Mu", "Jesse", "" ], [ "Lambert", "Mike", "" ], [ "Tong", "Meg", "" ], [ "MacDiarmid", "Monte", "" ], [ "Lanham", "Tamera", "" ], [ "Ziegler"...
Humans are capable of strategically deceptive behavior: behaving helpfully in most situations, but then behaving very differently in order to pursue alternative objectives when given the opportunity. If an AI system learned such a deceptive strategy, could we detect it and remove it using current state-of-the-art safet...
1805.06521
Siamak Barzegar
Siamak Barzegar, Andre Freitas, Siegfried Handschuh and Brian Davis
Composite Semantic Relation Classification
12 pages, 3 figures, conference
null
10.1007/978-3-319-59569-6_49
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Different semantic interpretation tasks such as text entailment and question answering require the classification of semantic relations between terms or entities within text. However, in most cases it is not possible to assign a direct semantic relation between entities/terms. This paper proposes an approach for comp...
[ { "created": "Wed, 16 May 2018 20:41:33 GMT", "version": "v1" } ]
2018-05-18
[ [ "Barzegar", "Siamak", "" ], [ "Freitas", "Andre", "" ], [ "Handschuh", "Siegfried", "" ], [ "Davis", "Brian", "" ] ]
Different semantic interpretation tasks such as text entailment and question answering require the classification of semantic relations between terms or entities within text. However, in most cases it is not possible to assign a direct semantic relation between entities/terms. This paper proposes an approach for compos...
1609.04552
Felix Weinrank
Felix Weinrank, Irene R\"ungeler, Michael T\"uxen, Erwin Rathgeb
SCTP User Message Interleaving Integration and Validation
Published in: A. Foerster, V. Vesely, A. Virdis, M. Kirsche (Eds.), Proc. of the 3rd OMNeT++ Community Summit, Brno University of Technology - Czech Republic - September 15-16, 2016
null
null
OMNET/2016/01
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Stream Control Transmission Protocol (SCTP) is a connection and message oriented transport protocol. It supports multiple uni-directional streams in each direction allowing user message sequence preservation within each stream. This minimizes the re-sequencing delay at the receiver side in case of message loss. T...
[ { "created": "Thu, 15 Sep 2016 09:44:28 GMT", "version": "v1" } ]
2016-09-16
[ [ "Weinrank", "Felix", "" ], [ "Rüngeler", "Irene", "" ], [ "Tüxen", "Michael", "" ], [ "Rathgeb", "Erwin", "" ] ]
The Stream Control Transmission Protocol (SCTP) is a connection and message oriented transport protocol. It supports multiple uni-directional streams in each direction allowing user message sequence preservation within each stream. This minimizes the re-sequencing delay at the receiver side in case of message loss. The...
2208.07704
Chaoyun Zhang
Chaoyun Zhang, Kai Wang, Hao Chen, Ge Fan, Yingjie Li, Lifang Wu, Bingchao Zheng
QuickSkill: Novice Skill Estimation in Online Multiplayer Games
Accepted by CIKM 2022 Applied Research Track
null
10.1145/3511808.3557070
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Matchmaking systems are vital for creating fair matches in online multiplayer games, which directly affects players' satisfactions and game experience. Most of the matchmaking systems largely rely on precise estimation of players' game skills to construct equitable games. However, the skill rating of a novice is usua...
[ { "created": "Mon, 15 Aug 2022 11:59:05 GMT", "version": "v1" } ]
2022-08-17
[ [ "Zhang", "Chaoyun", "" ], [ "Wang", "Kai", "" ], [ "Chen", "Hao", "" ], [ "Fan", "Ge", "" ], [ "Li", "Yingjie", "" ], [ "Wu", "Lifang", "" ], [ "Zheng", "Bingchao", "" ] ]
Matchmaking systems are vital for creating fair matches in online multiplayer games, which directly affects players' satisfactions and game experience. Most of the matchmaking systems largely rely on precise estimation of players' game skills to construct equitable games. However, the skill rating of a novice is usuall...
1610.01303
Doo-Hyun Cho
Doo-Hyun Cho, Jung-Su Ha, Sujin Lee, Sunghyun Moon, and Han-Lim Choi
Informative Path Planning and Mapping with Multiple UAVs in Wind Fields
14 pages, accepted in the DARS 2016
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Informative path planning (IPP) is used to design paths for robotic sensor platforms to extract the best/maximum possible information about a quantity of interest while operating under a set of constraints, such as the dynamic feasibility of vehicles. The key challenges of IPP are the strong coupling in multiple laye...
[ { "created": "Wed, 5 Oct 2016 08:06:51 GMT", "version": "v1" } ]
2016-10-06
[ [ "Cho", "Doo-Hyun", "" ], [ "Ha", "Jung-Su", "" ], [ "Lee", "Sujin", "" ], [ "Moon", "Sunghyun", "" ], [ "Choi", "Han-Lim", "" ] ]
Informative path planning (IPP) is used to design paths for robotic sensor platforms to extract the best/maximum possible information about a quantity of interest while operating under a set of constraints, such as the dynamic feasibility of vehicles. The key challenges of IPP are the strong coupling in multiple layers...
1910.01635
Greg Ongie
Greg Ongie, Rebecca Willett, Daniel Soudry, Nathan Srebro
A Function Space View of Bounded Norm Infinite Width ReLU Nets: The Multivariate Case
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A key element of understanding the efficacy of overparameterized neural networks is characterizing how they represent functions as the number of weights in the network approaches infinity. In this paper, we characterize the norm required to realize a function $f:\mathbb{R}^d\rightarrow\mathbb{R}$ as a single hidden-l...
[ { "created": "Thu, 3 Oct 2019 17:56:10 GMT", "version": "v1" } ]
2019-10-04
[ [ "Ongie", "Greg", "" ], [ "Willett", "Rebecca", "" ], [ "Soudry", "Daniel", "" ], [ "Srebro", "Nathan", "" ] ]
A key element of understanding the efficacy of overparameterized neural networks is characterizing how they represent functions as the number of weights in the network approaches infinity. In this paper, we characterize the norm required to realize a function $f:\mathbb{R}^d\rightarrow\mathbb{R}$ as a single hidden-lay...
2306.10161
Petr Mokrov
Nikita Gushchin, Alexander Kolesov, Petr Mokrov, Polina Karpikova, Andrey Spiridonov, Evgeny Burnaev, Alexander Korotin
Building the Bridge of Schr\"odinger: A Continuous Entropic Optimal Transport Benchmark
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Over the last several years, there has been significant progress in developing neural solvers for the Schr\"odinger Bridge (SB) problem and applying them to generative modelling. This new research field is justifiably fruitful as it is interconnected with the practically well-performing diffusion models and theoretic...
[ { "created": "Fri, 16 Jun 2023 20:03:36 GMT", "version": "v1" }, { "created": "Wed, 1 Nov 2023 10:26:59 GMT", "version": "v2" } ]
2023-11-02
[ [ "Gushchin", "Nikita", "" ], [ "Kolesov", "Alexander", "" ], [ "Mokrov", "Petr", "" ], [ "Karpikova", "Polina", "" ], [ "Spiridonov", "Andrey", "" ], [ "Burnaev", "Evgeny", "" ], [ "Korotin", "Alexander", ""...
Over the last several years, there has been significant progress in developing neural solvers for the Schr\"odinger Bridge (SB) problem and applying them to generative modelling. This new research field is justifiably fruitful as it is interconnected with the practically well-performing diffusion models and theoretical...
2401.05501
Lynnette Hui Xian Ng
Lynnette Hui Xian Ng, Kathleen M. Carley
Deflating the Chinese Balloon: Types of Twitter Bots in US-China balloon incident
null
EPJ Data Sci. 12, 63 (2023)
10.1140/epjds/s13688-023-00440-3
null
cs.SI
http://creativecommons.org/licenses/by-nc-nd/4.0/
As digitalization increases, countries employ digital diplomacy, harnessing digital resources to project their desired image. Digital diplomacy also encompasses the interactivity of digital platforms, providing a trove of public opinion that diplomatic agents can collect. Social media bots actively participate in pol...
[ { "created": "Wed, 10 Jan 2024 19:00:55 GMT", "version": "v1" } ]
2024-01-12
[ [ "Ng", "Lynnette Hui Xian", "" ], [ "Carley", "Kathleen M.", "" ] ]
As digitalization increases, countries employ digital diplomacy, harnessing digital resources to project their desired image. Digital diplomacy also encompasses the interactivity of digital platforms, providing a trove of public opinion that diplomatic agents can collect. Social media bots actively participate in polit...
2102.01826
Zhewei Sun
Zhewei Sun, Richard Zemel, Yang Xu
A Computational Framework for Slang Generation
Accepted for publication in TACL 2021. Author's final version
Transactions of the Association for Computational Linguistics 2021; 9 462-478
10.1162/tacl_a_00378
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Slang is a common type of informal language, but its flexible nature and paucity of data resources present challenges for existing natural language systems. We take an initial step toward machine generation of slang by developing a framework that models the speaker's word choice in slang context. Our framework encode...
[ { "created": "Wed, 3 Feb 2021 01:19:07 GMT", "version": "v1" }, { "created": "Sat, 22 May 2021 04:46:48 GMT", "version": "v2" } ]
2021-05-25
[ [ "Sun", "Zhewei", "" ], [ "Zemel", "Richard", "" ], [ "Xu", "Yang", "" ] ]
Slang is a common type of informal language, but its flexible nature and paucity of data resources present challenges for existing natural language systems. We take an initial step toward machine generation of slang by developing a framework that models the speaker's word choice in slang context. Our framework encodes ...
2010.08713
Linchen Qian
Linchen Qian, Jiasong Chen, Timur Urakov, Weiyong Gu, Liang Liang
CQ-VAE: Coordinate Quantized VAE for Uncertainty Estimation with Application to Disk Shape Analysis from Lumbar Spine MRI Images
This paper is accepted by 19th IEEE International Conference on Machine Learning and Applications (ICMLA2020)
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Ambiguity is inevitable in medical images, which often results in different image interpretations (e.g. object boundaries or segmentation maps) from different human experts. Thus, a model that learns the ambiguity and outputs a probability distribution of the target, would be valuable for medical applications to asse...
[ { "created": "Sat, 17 Oct 2020 04:25:32 GMT", "version": "v1" }, { "created": "Tue, 20 Oct 2020 20:23:40 GMT", "version": "v2" } ]
2020-10-22
[ [ "Qian", "Linchen", "" ], [ "Chen", "Jiasong", "" ], [ "Urakov", "Timur", "" ], [ "Gu", "Weiyong", "" ], [ "Liang", "Liang", "" ] ]
Ambiguity is inevitable in medical images, which often results in different image interpretations (e.g. object boundaries or segmentation maps) from different human experts. Thus, a model that learns the ambiguity and outputs a probability distribution of the target, would be valuable for medical applications to assess...
2004.08523
Kuo Chun Tsai
Kuo Chun Tsai and Zhu Han
Achieving Correlated Equilibrium by Studying Opponent's Behavior Through Policy-Based Deep Reinforcement Learning
null
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Game theory is a very profound study on distributed decision-making behavior and has been extensively developed by many scholars. However, many existing works rely on certain strict assumptions such as knowing the opponent's private behaviors, which might not be practical. In this work, we focused on two Nobel winnin...
[ { "created": "Sat, 18 Apr 2020 05:00:17 GMT", "version": "v1" } ]
2020-04-21
[ [ "Tsai", "Kuo Chun", "" ], [ "Han", "Zhu", "" ] ]
Game theory is a very profound study on distributed decision-making behavior and has been extensively developed by many scholars. However, many existing works rely on certain strict assumptions such as knowing the opponent's private behaviors, which might not be practical. In this work, we focused on two Nobel winning ...
1810.13349
Ciriaco Andrea D'Angelo
Giovanni Abramo, Ciriaco Andrea D'Angelo
The spin-off of elite universities in non-competitive, undifferentiated higher education systems: an empirical simulation in Italy
null
Abramo, G., D'Angelo, C.A., (2014). The spin-off of elite universities in non-competitive, undifferentiated higher education systems: an empirical simulation in Italy. Studies in Higher Education, 39(7), 1270-1289
10.1080/03075079.2013.801426
null
cs.DL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Higher education systems featuring intense competition have developed world-class universities, capable of attracting top professors and students and considerable public-private funding. This does not occur in non-competitive systems, where highly-talented faculty and students are dispersed across all institutions. I...
[ { "created": "Wed, 31 Oct 2018 15:40:06 GMT", "version": "v1" } ]
2018-11-01
[ [ "Abramo", "Giovanni", "" ], [ "D'Angelo", "Ciriaco Andrea", "" ] ]
Higher education systems featuring intense competition have developed world-class universities, capable of attracting top professors and students and considerable public-private funding. This does not occur in non-competitive systems, where highly-talented faculty and students are dispersed across all institutions. In ...
2303.09522
Andrey Voynov
Andrey Voynov, Qinghao Chu, Daniel Cohen-Or, Kfir Aberman
P+: Extended Textual Conditioning in Text-to-Image Generation
null
null
null
null
cs.CV cs.CL cs.GR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce an Extended Textual Conditioning space in text-to-image models, referred to as $P+$. This space consists of multiple textual conditions, derived from per-layer prompts, each corresponding to a layer of the denoising U-net of the diffusion model. We show that the extended space provides greater disentan...
[ { "created": "Thu, 16 Mar 2023 17:38:15 GMT", "version": "v1" }, { "created": "Mon, 27 Mar 2023 14:22:28 GMT", "version": "v2" }, { "created": "Sat, 15 Jul 2023 15:48:48 GMT", "version": "v3" } ]
2023-07-18
[ [ "Voynov", "Andrey", "" ], [ "Chu", "Qinghao", "" ], [ "Cohen-Or", "Daniel", "" ], [ "Aberman", "Kfir", "" ] ]
We introduce an Extended Textual Conditioning space in text-to-image models, referred to as $P+$. This space consists of multiple textual conditions, derived from per-layer prompts, each corresponding to a layer of the denoising U-net of the diffusion model. We show that the extended space provides greater disentanglin...
2109.14152
Hongkai Dai
Hongkai Dai and Benoit Landry and Lujie Yang and Marco Pavone and Russ Tedrake
Lyapunov-stable neural-network control
Published at Robotics: Science and Systems (RSS) in July, 2021
null
null
null
cs.RO cs.SY eess.SY
http://creativecommons.org/licenses/by/4.0/
Deep learning has had a far reaching impact in robotics. Specifically, deep reinforcement learning algorithms have been highly effective in synthesizing neural-network controllers for a wide range of tasks. However, despite this empirical success, these controllers still lack theoretical guarantees on their performan...
[ { "created": "Wed, 29 Sep 2021 02:40:32 GMT", "version": "v1" } ]
2021-09-30
[ [ "Dai", "Hongkai", "" ], [ "Landry", "Benoit", "" ], [ "Yang", "Lujie", "" ], [ "Pavone", "Marco", "" ], [ "Tedrake", "Russ", "" ] ]
Deep learning has had a far reaching impact in robotics. Specifically, deep reinforcement learning algorithms have been highly effective in synthesizing neural-network controllers for a wide range of tasks. However, despite this empirical success, these controllers still lack theoretical guarantees on their performance...
1406.2775
Jian Zhao
Jian Zhao, Hengzhu Liu, Xucan Chen and Zhengfa Liang
Realization and design of a pilot assist decision-making system based on speech recognition
10 pages, 8 figures
null
10.5121/csit.2014.4526
null
cs.HC cs.SD
http://creativecommons.org/licenses/by/3.0/
A system based on speech recognition is proposed for pilot assist decision-making. It is based on a HIL aircraft simulation platform and uses the microcontroller SPCE061A as the central processor to achieve better reliability and higher cost-effect performance. Technologies of LPCC (linear predictive cepstral coding)...
[ { "created": "Wed, 11 Jun 2014 04:46:27 GMT", "version": "v1" } ]
2014-06-12
[ [ "Zhao", "Jian", "" ], [ "Liu", "Hengzhu", "" ], [ "Chen", "Xucan", "" ], [ "Liang", "Zhengfa", "" ] ]
A system based on speech recognition is proposed for pilot assist decision-making. It is based on a HIL aircraft simulation platform and uses the microcontroller SPCE061A as the central processor to achieve better reliability and higher cost-effect performance. Technologies of LPCC (linear predictive cepstral coding) a...
2203.15102
Tianfei Zhou
Tianfei Zhou, Wenguan Wang, Ender Konukoglu, Luc Van Gool
Rethinking Semantic Segmentation: A Prototype View
Accepted to CVPR 2022 (Oral); Code: https://github.com/tfzhou/ProtoSeg
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Prevalent semantic segmentation solutions, despite their different network designs (FCN based or attention based) and mask decoding strategies (parametric softmax based or pixel-query based), can be placed in one category, by considering the softmax weights or query vectors as learnable class prototypes. In light of ...
[ { "created": "Mon, 28 Mar 2022 21:15:32 GMT", "version": "v1" }, { "created": "Mon, 4 Apr 2022 08:34:40 GMT", "version": "v2" } ]
2022-04-05
[ [ "Zhou", "Tianfei", "" ], [ "Wang", "Wenguan", "" ], [ "Konukoglu", "Ender", "" ], [ "Van Gool", "Luc", "" ] ]
Prevalent semantic segmentation solutions, despite their different network designs (FCN based or attention based) and mask decoding strategies (parametric softmax based or pixel-query based), can be placed in one category, by considering the softmax weights or query vectors as learnable class prototypes. In light of th...
1505.07184
Danushka Bollegala
Danushka Bollegala and Takanori Maehara and Ken-ichi Kawarabayashi
Unsupervised Cross-Domain Word Representation Learning
53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conferences on Natural Language Processing of the Asian Federation of Natural Language Processing
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Meaning of a word varies from one domain to another. Despite this important domain dependence in word semantics, existing word representation learning methods are bound to a single domain. Given a pair of \emph{source}-\emph{target} domains, we propose an unsupervised method for learning domain-specific word represen...
[ { "created": "Wed, 27 May 2015 04:02:56 GMT", "version": "v1" } ]
2015-05-28
[ [ "Bollegala", "Danushka", "" ], [ "Maehara", "Takanori", "" ], [ "Kawarabayashi", "Ken-ichi", "" ] ]
Meaning of a word varies from one domain to another. Despite this important domain dependence in word semantics, existing word representation learning methods are bound to a single domain. Given a pair of \emph{source}-\emph{target} domains, we propose an unsupervised method for learning domain-specific word representa...
2209.04418
Zhanpeng Yang
Zhanpeng Yang, Yuanming Shi, Yong Zhou, Zixin Wang, Kai Yang
Trustworthy Federated Learning via Blockchain
This work has been submitted to the IEEE Internet of Things Journal for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible
null
null
null
cs.LG cs.CR cs.NI eess.SP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The safety-critical scenarios of artificial intelligence (AI), such as autonomous driving, Internet of Things, smart healthcare, etc., have raised critical requirements of trustworthy AI to guarantee the privacy and security with reliable decisions. As a nascent branch for trustworthy AI, federated learning (FL) has ...
[ { "created": "Sat, 13 Aug 2022 03:43:10 GMT", "version": "v1" } ]
2022-09-12
[ [ "Yang", "Zhanpeng", "" ], [ "Shi", "Yuanming", "" ], [ "Zhou", "Yong", "" ], [ "Wang", "Zixin", "" ], [ "Yang", "Kai", "" ] ]
The safety-critical scenarios of artificial intelligence (AI), such as autonomous driving, Internet of Things, smart healthcare, etc., have raised critical requirements of trustworthy AI to guarantee the privacy and security with reliable decisions. As a nascent branch for trustworthy AI, federated learning (FL) has be...
1811.01806
Naeemul Hassan
Md Mahfuzul Haque, Mohammad Yousuf, Zahedur Arman, Md Main Uddin Rony, Ahmed Shatil Alam, Kazi Mehedi Hasan, Md Khadimul Islam, Naeemul Hassan
Fact-checking Initiatives in Bangladesh, India, and Nepal: A Study of User Engagement and Challenges
null
null
null
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Fake news and misinformation spread in developing countries as fast as they do in developed countries with increasing penetration of the internet and social media. However, fighting misinformation is more difficult in developing countries where resources and necessary technologies are scarce. This study provides an u...
[ { "created": "Mon, 5 Nov 2018 15:43:45 GMT", "version": "v1" } ]
2018-11-06
[ [ "Haque", "Md Mahfuzul", "" ], [ "Yousuf", "Mohammad", "" ], [ "Arman", "Zahedur", "" ], [ "Rony", "Md Main Uddin", "" ], [ "Alam", "Ahmed Shatil", "" ], [ "Hasan", "Kazi Mehedi", "" ], [ "Islam", "Md Khadimul",...
Fake news and misinformation spread in developing countries as fast as they do in developed countries with increasing penetration of the internet and social media. However, fighting misinformation is more difficult in developing countries where resources and necessary technologies are scarce. This study provides an und...
1912.13382
Jose Del Aguila Ferrandis Mr
Jos\'e del \'Aguila Ferrandis, Michael Triantafyllou, Chryssostomos Chryssostomidis, George Karniadakis
Learning functionals via LSTM neural networks for predicting vessel dynamics in extreme sea states
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Predicting motions of vessels in extreme sea states represents one of the most challenging problems in naval hydrodynamics. It involves computing complex nonlinear wave-body interactions, hence taxing heavily computational resources. Here, we put forward a new simulation paradigm by training recurrent type neural net...
[ { "created": "Mon, 23 Dec 2019 18:39:12 GMT", "version": "v1" } ]
2020-01-01
[ [ "Ferrandis", "José del Águila", "" ], [ "Triantafyllou", "Michael", "" ], [ "Chryssostomidis", "Chryssostomos", "" ], [ "Karniadakis", "George", "" ] ]
Predicting motions of vessels in extreme sea states represents one of the most challenging problems in naval hydrodynamics. It involves computing complex nonlinear wave-body interactions, hence taxing heavily computational resources. Here, we put forward a new simulation paradigm by training recurrent type neural netwo...
2407.14797
Lorenzo Montano
Lorenzo Montano-Oliv\'an, Julio A. Placed, Luis Montano, and Mar\'ia T. L\'azaro
From Underground Mines to Offices: A Versatile and Robust Framework for Range-Inertial SLAM
8 pages, 8 figures, 3 tables
null
null
null
cs.RO
http://creativecommons.org/licenses/by-nc-nd/4.0/
Simultaneous Localization and Mapping (SLAM) is an essential component of autonomous robotic applications and self-driving vehicles, enabling them to understand and operate in their environment. Many SLAM systems have been proposed in the last decade, but they are often complex to adapt to different settings or senso...
[ { "created": "Sat, 20 Jul 2024 07:56:24 GMT", "version": "v1" } ]
2024-07-23
[ [ "Montano-Oliván", "Lorenzo", "" ], [ "Placed", "Julio A.", "" ], [ "Montano", "Luis", "" ], [ "Lázaro", "María T.", "" ] ]
Simultaneous Localization and Mapping (SLAM) is an essential component of autonomous robotic applications and self-driving vehicles, enabling them to understand and operate in their environment. Many SLAM systems have been proposed in the last decade, but they are often complex to adapt to different settings or sensor ...
2007.12346
Bum Chul Kwon
Bum Chul Kwon
User-driven Analysis of Longitudinal Health Data with Hidden Markov Models for Clinical Insights
Demo presented in KDD 2020 Workshop on Applied Data Science for Healthcare
null
null
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A goal of clinical researchers is to understand the progression of a disease through a set of biomarkers. Researchers often conduct observational studies, where they collect numerous samples from selected subjects throughout multiple years. Hidden Markov Models (HMMs) can be applied to discover latent states and thei...
[ { "created": "Fri, 24 Jul 2020 04:36:08 GMT", "version": "v1" } ]
2020-07-27
[ [ "Kwon", "Bum Chul", "" ] ]
A goal of clinical researchers is to understand the progression of a disease through a set of biomarkers. Researchers often conduct observational studies, where they collect numerous samples from selected subjects throughout multiple years. Hidden Markov Models (HMMs) can be applied to discover latent states and their ...
1505.04617
Liping Wang
Liping Wang and Songcan Chen
Joint Representation Classification for Collective Face Recognition
20 pages, 5 figures, 3 tables; 4 algorithms, 2 lemmas and 2 theorems
null
null
null
cs.CV math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sparse representation based classification (SRC) is popularly used in many applications such as face recognition, and implemented in two steps: representation coding and classification. For a given set of testing images, SRC codes every image over the base images as a sparse representation then classifies it to the c...
[ { "created": "Mon, 18 May 2015 13:04:04 GMT", "version": "v1" } ]
2015-05-19
[ [ "Wang", "Liping", "" ], [ "Chen", "Songcan", "" ] ]
Sparse representation based classification (SRC) is popularly used in many applications such as face recognition, and implemented in two steps: representation coding and classification. For a given set of testing images, SRC codes every image over the base images as a sparse representation then classifies it to the cla...
1907.09636
Woojay Jeon
Woojay Jeon, Maxwell Jordan, Mahesh Krishnamoorthy
On Modeling ASR Word Confidence
Presented at IEEE ICASSP 2020, May 2020
null
null
null
cs.CL cs.SD eess.AS stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a new method for computing ASR word confidences that effectively mitigates the effect of ASR errors for diverse downstream applications, improves the word error rate of the 1-best result, and allows better comparison of scores across different models. We propose 1) a new method for modeling word confidence...
[ { "created": "Mon, 22 Jul 2019 23:53:41 GMT", "version": "v1" }, { "created": "Sat, 5 Oct 2019 00:43:25 GMT", "version": "v2" }, { "created": "Fri, 14 Feb 2020 01:48:54 GMT", "version": "v3" }, { "created": "Tue, 2 Jun 2020 04:59:37 GMT", "version": "v4" } ]
2020-06-03
[ [ "Jeon", "Woojay", "" ], [ "Jordan", "Maxwell", "" ], [ "Krishnamoorthy", "Mahesh", "" ] ]
We present a new method for computing ASR word confidences that effectively mitigates the effect of ASR errors for diverse downstream applications, improves the word error rate of the 1-best result, and allows better comparison of scores across different models. We propose 1) a new method for modeling word confidence u...
1606.09206
Anastasios Giovanidis
Apostolos Avranas and Anastasios Giovanidis
Performance of spatial Multi-LRU caching under traffic with temporal locality
6 pages, double column, invited paper in 5G Workshop, part of ISTC'16, Brest, France
2016 9th International Symposium on Turbo Codes and Iterative Information Processing (ISTC)
10.1109/ISTC.2016.7593134
null
cs.NI cs.IT cs.PF math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work a novel family of decentralised caching policies for wireless networks is introduced, referred to as spatial multi-LRU. These improve cache-hit probability by exploiting multi-coverage. Two variations are proposed, the multi-LRU-One and -All, which differ in the number of replicas inserted in the coverin...
[ { "created": "Wed, 29 Jun 2016 18:11:21 GMT", "version": "v1" } ]
2016-11-09
[ [ "Avranas", "Apostolos", "" ], [ "Giovanidis", "Anastasios", "" ] ]
In this work a novel family of decentralised caching policies for wireless networks is introduced, referred to as spatial multi-LRU. These improve cache-hit probability by exploiting multi-coverage. Two variations are proposed, the multi-LRU-One and -All, which differ in the number of replicas inserted in the covering ...
2404.05726
Bo He
Bo He, Hengduo Li, Young Kyun Jang, Menglin Jia, Xuefei Cao, Ashish Shah, Abhinav Shrivastava, Ser-Nam Lim
MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding
Accepted at CVPR 2024. Project Page https://boheumd.github.io/MA-LMM/
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the success of large language models (LLMs), integrating the vision model into LLMs to build vision-language foundation models has gained much more interest recently. However, existing LLM-based large multimodal models (e.g., Video-LLaMA, VideoChat) can only take in a limited number of frames for short video und...
[ { "created": "Mon, 8 Apr 2024 17:59:24 GMT", "version": "v1" }, { "created": "Wed, 24 Apr 2024 15:38:48 GMT", "version": "v2" } ]
2024-04-25
[ [ "He", "Bo", "" ], [ "Li", "Hengduo", "" ], [ "Jang", "Young Kyun", "" ], [ "Jia", "Menglin", "" ], [ "Cao", "Xuefei", "" ], [ "Shah", "Ashish", "" ], [ "Shrivastava", "Abhinav", "" ], [ "Lim", "...
With the success of large language models (LLMs), integrating the vision model into LLMs to build vision-language foundation models has gained much more interest recently. However, existing LLM-based large multimodal models (e.g., Video-LLaMA, VideoChat) can only take in a limited number of frames for short video under...
1907.07175
Alessandra Urbinati
Alessandra Urbinati, Edoardo Galimberti, Giancarlo Ruffo
Measuring Scientific Brain Drain with Hubs and Authorities: a Dual Perspective
Paper published on Online Social Networks and Media, doi: https://doi.org/10.1016/j.osnem.2021.100176
null
10.1016/j.osnem.2021.100176
null
cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work we study international migrations of researchers, scientists, and academics from a complex-network perspective to identify the central countries involved in the migration phenomenon. We define the scientific migration network (SMN) as temporal directed weighted network where nodes are world countries, li...
[ { "created": "Tue, 16 Jul 2019 17:57:05 GMT", "version": "v1" }, { "created": "Thu, 7 Oct 2021 12:16:28 GMT", "version": "v2" } ]
2021-10-08
[ [ "Urbinati", "Alessandra", "" ], [ "Galimberti", "Edoardo", "" ], [ "Ruffo", "Giancarlo", "" ] ]
In this work we study international migrations of researchers, scientists, and academics from a complex-network perspective to identify the central countries involved in the migration phenomenon. We define the scientific migration network (SMN) as temporal directed weighted network where nodes are world countries, link...
2309.02162
Younes Ouargani
Younes Ouargani, Noussaima El Khattabi
Advancing Text-to-GLOSS Neural Translation Using a Novel Hyper-parameter Optimization Technique
8 pages, 5 figures
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
In this paper, we investigate the use of transformers for Neural Machine Translation of text-to-GLOSS for Deaf and Hard-of-Hearing communication. Due to the scarcity of available data and limited resources for text-to-GLOSS translation, we treat the problem as a low-resource language task. We use our novel hyper-para...
[ { "created": "Tue, 5 Sep 2023 11:59:31 GMT", "version": "v1" } ]
2023-09-06
[ [ "Ouargani", "Younes", "" ], [ "Khattabi", "Noussaima El", "" ] ]
In this paper, we investigate the use of transformers for Neural Machine Translation of text-to-GLOSS for Deaf and Hard-of-Hearing communication. Due to the scarcity of available data and limited resources for text-to-GLOSS translation, we treat the problem as a low-resource language task. We use our novel hyper-parame...
2105.05371
David Eppstein
David Eppstein
A Stronger Lower Bound on Parametric Minimum Spanning Trees
14 pages, 6 figures. To appear at WADS 2021
null
null
null
cs.DM
http://creativecommons.org/licenses/by/4.0/
We prove that, for an undirected graph with $n$ vertices and $m$ edges, each labeled with a linear function of a parameter $\lambda$, the number of different minimum spanning trees obtained as the parameter varies can be $\Omega(m\log n)$.
[ { "created": "Tue, 11 May 2021 23:57:38 GMT", "version": "v1" } ]
2021-05-13
[ [ "Eppstein", "David", "" ] ]
We prove that, for an undirected graph with $n$ vertices and $m$ edges, each labeled with a linear function of a parameter $\lambda$, the number of different minimum spanning trees obtained as the parameter varies can be $\Omega(m\log n)$.
1804.01489
Timothy Hughes
Timothy H. Hughes
On the internal signature and minimal electric network realizations of reciprocal behaviors
null
null
null
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In a recent paper, it was shown that (i) any reciprocal system with a proper transfer function possesses a signature-symmetric realization in which each state has either even or odd parity; and (ii) any reciprocal and passive behavior can be realized as the driving-point behavior of an electric network comprising res...
[ { "created": "Wed, 4 Apr 2018 16:11:59 GMT", "version": "v1" } ]
2018-04-05
[ [ "Hughes", "Timothy H.", "" ] ]
In a recent paper, it was shown that (i) any reciprocal system with a proper transfer function possesses a signature-symmetric realization in which each state has either even or odd parity; and (ii) any reciprocal and passive behavior can be realized as the driving-point behavior of an electric network comprising resis...
2101.05225
Rohan Alexander
Ke-Li Chiu and Rohan Alexander
On consistency scores in text data with an implementation in R
13 pages, 0 figures
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
In this paper, we introduce a reproducible cleaning process for the text extracted from PDFs using n-gram models. Our approach compares the originally extracted text with the text generated from, or expected by, these models using earlier text as stimulus. To guide this process, we introduce the notion of a consisten...
[ { "created": "Wed, 13 Jan 2021 17:37:07 GMT", "version": "v1" } ]
2021-01-14
[ [ "Chiu", "Ke-Li", "" ], [ "Alexander", "Rohan", "" ] ]
In this paper, we introduce a reproducible cleaning process for the text extracted from PDFs using n-gram models. Our approach compares the originally extracted text with the text generated from, or expected by, these models using earlier text as stimulus. To guide this process, we introduce the notion of a consistency...
2005.06822
Pierre Escamilla
Pierre Escamilla and Abdellatif Zaidi and Mich\`ele Wigger
Some Results on the Vector Gaussian Hypothesis Testing Problem
To appear in 2020 IEEE International Symposium on Information Theory, ISIT'20
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper studies the problem of discriminating two multivariate Gaussian distributions in a distributed manner. Specifically, it characterizes in a special case the optimal typeII error exponent as a function of the available communication rate. As a side-result, the paper also presents the optimal type-II error ex...
[ { "created": "Thu, 14 May 2020 09:05:42 GMT", "version": "v1" } ]
2020-05-15
[ [ "Escamilla", "Pierre", "" ], [ "Zaidi", "Abdellatif", "" ], [ "Wigger", "Michèle", "" ] ]
This paper studies the problem of discriminating two multivariate Gaussian distributions in a distributed manner. Specifically, it characterizes in a special case the optimal typeII error exponent as a function of the available communication rate. As a side-result, the paper also presents the optimal type-II error expo...
2304.08860
Ramiro Mart\'inez
Ramiro Mart\'inez and Paz Morillo
Revisiting Fast Fourier multiplication algorithms on quotient rings
null
null
null
null
cs.DM
http://creativecommons.org/licenses/by/4.0/
This work formalizes efficient Fast Fourier-based multiplication algorithms for polynomials in quotient rings such as $\mathbb{Z}_{m}[x]/\left<x^{n}-a\right>$, with $n$ a power of 2 and $m$ a non necessarily prime integer. We also present a meticulous study on the necessary and/or sufficient conditions required for t...
[ { "created": "Tue, 18 Apr 2023 09:50:09 GMT", "version": "v1" } ]
2023-04-19
[ [ "Martínez", "Ramiro", "" ], [ "Morillo", "Paz", "" ] ]
This work formalizes efficient Fast Fourier-based multiplication algorithms for polynomials in quotient rings such as $\mathbb{Z}_{m}[x]/\left<x^{n}-a\right>$, with $n$ a power of 2 and $m$ a non necessarily prime integer. We also present a meticulous study on the necessary and/or sufficient conditions required for the...
1606.04884
Hugh Perkins
Hugh Perkins (ASAPP)
cltorch: a Hardware-Agnostic Backend for the Torch Deep Neural Network Library, Based on OpenCL
9 pages
null
null
null
cs.NE cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents cltorch, a hardware-agnostic backend for the Torch neural network framework. cltorch enables training of deep neural networks on GPUs from diverse hardware vendors, including AMD, NVIDIA, and Intel. cltorch contains sufficient implementation to run models such as AlexNet, VGG, Overfeat, and Google...
[ { "created": "Wed, 15 Jun 2016 17:59:31 GMT", "version": "v1" } ]
2016-06-16
[ [ "Perkins", "Hugh", "", "ASAPP" ] ]
This paper presents cltorch, a hardware-agnostic backend for the Torch neural network framework. cltorch enables training of deep neural networks on GPUs from diverse hardware vendors, including AMD, NVIDIA, and Intel. cltorch contains sufficient implementation to run models such as AlexNet, VGG, Overfeat, and GoogleNe...
1703.02162
A. S. M. Kayes
A. S. M. Kayes, Jun Han, Wenny Rahayu, Md. Saiful Islam and Alan Colman
A Policy Model and Framework for Context-Aware Access Control to Information Resources
26 pages
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In today's dynamic ICT environments, the ability to control users' access to resources becomes ever important. On the one hand, it should adapt to the users' changing needs; on the other hand, it should not be compromised. Therefore, it is essential to have a flexible access control model, incorporating dynamically c...
[ { "created": "Tue, 7 Mar 2017 00:49:44 GMT", "version": "v1" } ]
2017-03-08
[ [ "Kayes", "A. S. M.", "" ], [ "Han", "Jun", "" ], [ "Rahayu", "Wenny", "" ], [ "Islam", "Md. Saiful", "" ], [ "Colman", "Alan", "" ] ]
In today's dynamic ICT environments, the ability to control users' access to resources becomes ever important. On the one hand, it should adapt to the users' changing needs; on the other hand, it should not be compromised. Therefore, it is essential to have a flexible access control model, incorporating dynamically cha...
2008.10062
Roie Levin
Roie Levin and David Wajc
Streaming Submodular Matching Meets the Primal-Dual Method
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study streaming submodular maximization subject to matching/$b$-matching constraints (MSM/MSbM), and present improved upper and lower bounds for these problems. On the upper bounds front, we give primal-dual algorithms achieving the following approximation ratios. $\bullet$ $3+2\sqrt{2}\approx 5.828$ for monoton...
[ { "created": "Sun, 23 Aug 2020 15:58:26 GMT", "version": "v1" }, { "created": "Sat, 2 Jan 2021 22:11:45 GMT", "version": "v2" } ]
2021-01-05
[ [ "Levin", "Roie", "" ], [ "Wajc", "David", "" ] ]
We study streaming submodular maximization subject to matching/$b$-matching constraints (MSM/MSbM), and present improved upper and lower bounds for these problems. On the upper bounds front, we give primal-dual algorithms achieving the following approximation ratios. $\bullet$ $3+2\sqrt{2}\approx 5.828$ for monotone MS...
2205.12587
Yong Xu
Yong Xu, Zhihua Xia, Zichi Wang, Xinpeng Zhang, and Jian Weng
Deniable Steganography
null
null
null
null
cs.CR cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Steganography conceals the secret message into the cover media, generating a stego media which can be transmitted on public channels without drawing suspicion. As its countermeasure, steganalysis mainly aims to detect whether the secret message is hidden in a given media. Although the steganography techniques are imp...
[ { "created": "Wed, 25 May 2022 09:00:30 GMT", "version": "v1" } ]
2022-05-26
[ [ "Xu", "Yong", "" ], [ "Xia", "Zhihua", "" ], [ "Wang", "Zichi", "" ], [ "Zhang", "Xinpeng", "" ], [ "Weng", "Jian", "" ] ]
Steganography conceals the secret message into the cover media, generating a stego media which can be transmitted on public channels without drawing suspicion. As its countermeasure, steganalysis mainly aims to detect whether the secret message is hidden in a given media. Although the steganography techniques are impro...
1802.10185
Kenny Daniel
A. Besir Kurtulmus and Kenny Daniel
Trustless Machine Learning Contracts; Evaluating and Exchanging Machine Learning Models on the Ethereum Blockchain
null
null
null
null
cs.CR
http://creativecommons.org/licenses/by/4.0/
Using blockchain technology, it is possible to create contracts that offer a reward in exchange for a trained machine learning model for a particular data set. This would allow users to train machine learning models for a reward in a trustless manner. The smart contract will use the blockchain to automatically valida...
[ { "created": "Tue, 27 Feb 2018 22:03:56 GMT", "version": "v1" } ]
2018-03-01
[ [ "Kurtulmus", "A. Besir", "" ], [ "Daniel", "Kenny", "" ] ]
Using blockchain technology, it is possible to create contracts that offer a reward in exchange for a trained machine learning model for a particular data set. This would allow users to train machine learning models for a reward in a trustless manner. The smart contract will use the blockchain to automatically validate...
2307.07864
James Young
James C. Young, Rudy Arthur, Hywel T.P. Williams
CIDER: Context sensitive sentiment analysis for short-form text
20 pages, 6 figures, 3 tables
null
10.1371/journal.pone.0299490
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Researchers commonly perform sentiment analysis on large collections of short texts like tweets, Reddit posts or newspaper headlines that are all focused on a specific topic, theme or event. Usually, general-purpose sentiment analysis methods are used. These perform well on average but miss the variation in meaning t...
[ { "created": "Sat, 15 Jul 2023 18:25:56 GMT", "version": "v1" }, { "created": "Thu, 12 Oct 2023 16:06:19 GMT", "version": "v2" }, { "created": "Wed, 10 Jul 2024 10:39:12 GMT", "version": "v3" } ]
2024-07-11
[ [ "Young", "James C.", "" ], [ "Arthur", "Rudy", "" ], [ "Williams", "Hywel T. P.", "" ] ]
Researchers commonly perform sentiment analysis on large collections of short texts like tweets, Reddit posts or newspaper headlines that are all focused on a specific topic, theme or event. Usually, general-purpose sentiment analysis methods are used. These perform well on average but miss the variation in meaning tha...
2206.14802
Colin Kohler
Colin Kohler, Robert Platt
Visual Foresight With a Local Dynamics Model
null
null
null
null
cs.RO cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
Model-free policy learning has been shown to be capable of learning manipulation policies which can solve long-time horizon tasks using single-step manipulation primitives. However, training these policies is a time-consuming process requiring large amounts of data. We propose the Local Dynamics Model (LDM) which eff...
[ { "created": "Wed, 29 Jun 2022 17:58:14 GMT", "version": "v1" } ]
2022-06-30
[ [ "Kohler", "Colin", "" ], [ "Platt", "Robert", "" ] ]
Model-free policy learning has been shown to be capable of learning manipulation policies which can solve long-time horizon tasks using single-step manipulation primitives. However, training these policies is a time-consuming process requiring large amounts of data. We propose the Local Dynamics Model (LDM) which effic...
1603.01772
Pavel Dourbal
Pavel Dourbal and Mikhail Pekker
Fast calculation of correlations in recognition systems
7 pages
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Computationally efficient classification system architecture is proposed. It utilizes fast tensor-vector multiplication algorithm to apply linear operators upon input signals . The approach is applicable to wide variety of recognition system architectures ranging from single stage matched filter bank classifiers to c...
[ { "created": "Sun, 6 Mar 2016 00:30:34 GMT", "version": "v1" } ]
2016-03-08
[ [ "Dourbal", "Pavel", "" ], [ "Pekker", "Mikhail", "" ] ]
Computationally efficient classification system architecture is proposed. It utilizes fast tensor-vector multiplication algorithm to apply linear operators upon input signals . The approach is applicable to wide variety of recognition system architectures ranging from single stage matched filter bank classifiers to com...
2201.06500
Ruilin Tong
Ruilin Tong
Growing Neural Network with Shared Parameter
null
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a general method for growing neural network with shared parameter by matching trained network to new input. By leveraging Hoeffding's inequality, we provide a theoretical base for improving performance by adding subnetwork to existing network. With the theoretical base of adding new subnetwork, we implemen...
[ { "created": "Mon, 17 Jan 2022 16:24:17 GMT", "version": "v1" } ]
2022-01-19
[ [ "Tong", "Ruilin", "" ] ]
We propose a general method for growing neural network with shared parameter by matching trained network to new input. By leveraging Hoeffding's inequality, we provide a theoretical base for improving performance by adding subnetwork to existing network. With the theoretical base of adding new subnetwork, we implement ...
1905.10360
Roy Frostig
Vitaly Feldman, Roy Frostig, Moritz Hardt
The advantages of multiple classes for reducing overfitting from test set reuse
null
null
null
null
cs.LG cs.DS stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Excessive reuse of holdout data can lead to overfitting. However, there is little concrete evidence of significant overfitting due to holdout reuse in popular multiclass benchmarks today. Known results show that, in the worst-case, revealing the accuracy of $k$ adaptively chosen classifiers on a data set of size $n$ ...
[ { "created": "Fri, 24 May 2019 17:59:32 GMT", "version": "v1" } ]
2019-05-27
[ [ "Feldman", "Vitaly", "" ], [ "Frostig", "Roy", "" ], [ "Hardt", "Moritz", "" ] ]
Excessive reuse of holdout data can lead to overfitting. However, there is little concrete evidence of significant overfitting due to holdout reuse in popular multiclass benchmarks today. Known results show that, in the worst-case, revealing the accuracy of $k$ adaptively chosen classifiers on a data set of size $n$ al...
2302.08808
Mahnoor Shahid
Mahnoor Shahid, Mark Koch, and Niklas Schneider
Paint it Black: Generating paintings from text descriptions
null
null
null
null
cs.CV cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Two distinct tasks - generating photorealistic pictures from given text prompts and transferring the style of a painting to a real image to make it appear as though it were done by an artist, have been addressed many times, and several approaches have been proposed to accomplish them. However, the intersection of the...
[ { "created": "Fri, 17 Feb 2023 11:07:53 GMT", "version": "v1" } ]
2023-02-20
[ [ "Shahid", "Mahnoor", "" ], [ "Koch", "Mark", "" ], [ "Schneider", "Niklas", "" ] ]
Two distinct tasks - generating photorealistic pictures from given text prompts and transferring the style of a painting to a real image to make it appear as though it were done by an artist, have been addressed many times, and several approaches have been proposed to accomplish them. However, the intersection of these...
1504.00427
Li Ning Dr.
T.-H. Hubert Chan and Li Ning
Influence Maximization under The Non-progressive Linear Threshold Model
null
null
null
null
cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the problem of influence maximization in information networks, the objective is to choose a set of initially active nodes subject to some budget constraints such that the expected number of active nodes over time is maximized. The linear threshold model has been introduced to study the opinion cascading behavior, ...
[ { "created": "Thu, 2 Apr 2015 01:49:25 GMT", "version": "v1" } ]
2016-11-06
[ [ "Chan", "T. -H. Hubert", "" ], [ "Ning", "Li", "" ] ]
In the problem of influence maximization in information networks, the objective is to choose a set of initially active nodes subject to some budget constraints such that the expected number of active nodes over time is maximized. The linear threshold model has been introduced to study the opinion cascading behavior, fo...
2012.00682
Minyoung Kim
Minyoung Kim, Ricardo Guerrero, Vladimir Pavlovic
Learning Disentangled Latent Factors from Paired Data in Cross-Modal Retrieval: An Implicit Identifiable VAE Approach
null
null
null
null
cs.LG cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We deal with the problem of learning the underlying disentangled latent factors that are shared between the paired bi-modal data in cross-modal retrieval. Our assumption is that the data in both modalities are complex, structured, and high dimensional (e.g., image and text), for which the conventional deep auto-encod...
[ { "created": "Tue, 1 Dec 2020 17:47:50 GMT", "version": "v1" } ]
2020-12-02
[ [ "Kim", "Minyoung", "" ], [ "Guerrero", "Ricardo", "" ], [ "Pavlovic", "Vladimir", "" ] ]
We deal with the problem of learning the underlying disentangled latent factors that are shared between the paired bi-modal data in cross-modal retrieval. Our assumption is that the data in both modalities are complex, structured, and high dimensional (e.g., image and text), for which the conventional deep auto-encodin...
2109.10209
Tin Lai
Tin Lai and Fabio Ramos
Rapid Replanning in Consecutive Pick-and-Place Tasks with Lazy Experience Graph
null
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In an environment where a manipulator needs to execute multiple consecutive tasks, the act of object manoeuvre will change the underlying configuration space, affecting all subsequent tasks. Previously free configurations might now be occupied by the manoeuvred objects, and previously occupied space might now open up...
[ { "created": "Tue, 21 Sep 2021 14:38:58 GMT", "version": "v1" }, { "created": "Sun, 17 Jul 2022 10:51:38 GMT", "version": "v2" }, { "created": "Sat, 3 Sep 2022 14:14:53 GMT", "version": "v3" } ]
2022-09-07
[ [ "Lai", "Tin", "" ], [ "Ramos", "Fabio", "" ] ]
In an environment where a manipulator needs to execute multiple consecutive tasks, the act of object manoeuvre will change the underlying configuration space, affecting all subsequent tasks. Previously free configurations might now be occupied by the manoeuvred objects, and previously occupied space might now open up n...
2012.07910
Li-Cheng Lan
Li-Cheng Lan, Meng-Yu Tsai, Ti-Rong Wu, I-Chen Wu, Cho-Jui Hsieh
Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21)
null
null
null
cs.AI cs.LG
http://creativecommons.org/licenses/by-sa/4.0/
Monte Carlo tree search (MCTS) has achieved state-of-the-art results in many domains such as Go and Atari games when combining with deep neural networks (DNNs). When more simulations are executed, MCTS can achieve higher performance but also requires enormous amounts of CPU and GPU resources. However, not all states ...
[ { "created": "Mon, 14 Dec 2020 19:49:25 GMT", "version": "v1" } ]
2020-12-16
[ [ "Lan", "Li-Cheng", "" ], [ "Tsai", "Meng-Yu", "" ], [ "Wu", "Ti-Rong", "" ], [ "Wu", "I-Chen", "" ], [ "Hsieh", "Cho-Jui", "" ] ]
Monte Carlo tree search (MCTS) has achieved state-of-the-art results in many domains such as Go and Atari games when combining with deep neural networks (DNNs). When more simulations are executed, MCTS can achieve higher performance but also requires enormous amounts of CPU and GPU resources. However, not all states re...
2311.15685
Bar Genossar
Bar Genossar (1), Avigdor Gal (1) and Roee Shraga (2) ((1) Technion - Israel Institute of Technology, (2) Worcester Polytechnic Institute)
The Battleship Approach to the Low Resource Entity Matching Problem
null
null
10.1145/3626711
null
cs.DB cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Entity matching, a core data integration problem, is the task of deciding whether two data tuples refer to the same real-world entity. Recent advances in deep learning methods, using pre-trained language models, were proposed for resolving entity matching. Although demonstrating unprecedented results, these solutions...
[ { "created": "Mon, 27 Nov 2023 10:18:17 GMT", "version": "v1" } ]
2023-11-28
[ [ "Genossar", "Bar", "" ], [ "Gal", "Avigdor", "" ], [ "Shraga", "Roee", "" ] ]
Entity matching, a core data integration problem, is the task of deciding whether two data tuples refer to the same real-world entity. Recent advances in deep learning methods, using pre-trained language models, were proposed for resolving entity matching. Although demonstrating unprecedented results, these solutions s...
2006.12057
Hiroharu Kato
Hiroharu Kato, Deniz Beker, Mihai Morariu, Takahiro Ando, Toru Matsuoka, Wadim Kehl, Adrien Gaidon
Differentiable Rendering: A Survey
null
null
null
null
cs.CV cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep neural networks (DNNs) have shown remarkable performance improvements on vision-related tasks such as object detection or image segmentation. Despite their success, they generally lack the understanding of 3D objects which form the image, as it is not always possible to collect 3D information about the scene or ...
[ { "created": "Mon, 22 Jun 2020 08:14:52 GMT", "version": "v1" }, { "created": "Fri, 31 Jul 2020 00:01:27 GMT", "version": "v2" } ]
2020-08-03
[ [ "Kato", "Hiroharu", "" ], [ "Beker", "Deniz", "" ], [ "Morariu", "Mihai", "" ], [ "Ando", "Takahiro", "" ], [ "Matsuoka", "Toru", "" ], [ "Kehl", "Wadim", "" ], [ "Gaidon", "Adrien", "" ] ]
Deep neural networks (DNNs) have shown remarkable performance improvements on vision-related tasks such as object detection or image segmentation. Despite their success, they generally lack the understanding of 3D objects which form the image, as it is not always possible to collect 3D information about the scene or to...
1802.06893
Edouard Grave
Edouard Grave, Piotr Bojanowski, Prakhar Gupta, Armand Joulin, Tomas Mikolov
Learning Word Vectors for 157 Languages
Accepted to LREC
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Distributed word representations, or word vectors, have recently been applied to many tasks in natural language processing, leading to state-of-the-art performance. A key ingredient to the successful application of these representations is to train them on very large corpora, and use these pre-trained models in downs...
[ { "created": "Mon, 19 Feb 2018 22:32:47 GMT", "version": "v1" }, { "created": "Wed, 28 Mar 2018 18:00:30 GMT", "version": "v2" } ]
2018-03-30
[ [ "Grave", "Edouard", "" ], [ "Bojanowski", "Piotr", "" ], [ "Gupta", "Prakhar", "" ], [ "Joulin", "Armand", "" ], [ "Mikolov", "Tomas", "" ] ]
Distributed word representations, or word vectors, have recently been applied to many tasks in natural language processing, leading to state-of-the-art performance. A key ingredient to the successful application of these representations is to train them on very large corpora, and use these pre-trained models in downstr...
2210.09809
Mahalakshmi Sabanayagam
Mahalakshmi Sabanayagam, Pascal Esser, Debarghya Ghoshdastidar
Analysis of Convolutions, Non-linearity and Depth in Graph Neural Networks using Neural Tangent Kernel
39 pages, 24 figures. Code available at https://github.com/mahalakshmi-sabanayagam/NTK_GCN
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The fundamental principle of Graph Neural Networks (GNNs) is to exploit the structural information of the data by aggregating the neighboring nodes using a `graph convolution' in conjunction with a suitable choice for the network architecture, such as depth and activation functions. Therefore, understanding the influ...
[ { "created": "Tue, 18 Oct 2022 12:28:37 GMT", "version": "v1" }, { "created": "Mon, 10 Jul 2023 09:54:27 GMT", "version": "v2" }, { "created": "Wed, 11 Oct 2023 09:34:21 GMT", "version": "v3" }, { "created": "Tue, 31 Oct 2023 14:25:42 GMT", "version": "v4" } ]
2023-11-01
[ [ "Sabanayagam", "Mahalakshmi", "" ], [ "Esser", "Pascal", "" ], [ "Ghoshdastidar", "Debarghya", "" ] ]
The fundamental principle of Graph Neural Networks (GNNs) is to exploit the structural information of the data by aggregating the neighboring nodes using a `graph convolution' in conjunction with a suitable choice for the network architecture, such as depth and activation functions. Therefore, understanding the influen...
1904.09059
Tzofi Klinghoffer
Peter Morales, Tzofi Klinghoffer, Seung Jae Lee
Feature Forwarding for Efficient Single Image Dehazing
Accepted to the NTIRE 2019 CVPR Workshop. Paper number 77. 8 Pages
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Haze degrades content and obscures information of images, which can negatively impact vision-based decision-making in real-time systems. In this paper, we propose an efficient fully convolutional neural network (CNN) image dehazing method designed to run on edge graphical processing units (GPUs). We utilize three var...
[ { "created": "Fri, 19 Apr 2019 03:20:52 GMT", "version": "v1" }, { "created": "Fri, 3 May 2019 14:45:50 GMT", "version": "v2" } ]
2019-05-06
[ [ "Morales", "Peter", "" ], [ "Klinghoffer", "Tzofi", "" ], [ "Lee", "Seung Jae", "" ] ]
Haze degrades content and obscures information of images, which can negatively impact vision-based decision-making in real-time systems. In this paper, we propose an efficient fully convolutional neural network (CNN) image dehazing method designed to run on edge graphical processing units (GPUs). We utilize three varia...
1602.00386
Alexander Wong
Parthipan Siva, Mohammad Javad Shafiee, Mike Jamieson, and Alexander Wong
Scene Invariant Crowd Segmentation and Counting Using Scale-Normalized Histogram of Moving Gradients (HoMG)
9 pages
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The problem of automated crowd segmentation and counting has garnered significant interest in the field of video surveillance. This paper proposes a novel scene invariant crowd segmentation and counting algorithm designed with high accuracy yet low computational complexity in mind, which is key for widespread industr...
[ { "created": "Mon, 1 Feb 2016 04:07:32 GMT", "version": "v1" } ]
2016-02-02
[ [ "Siva", "Parthipan", "" ], [ "Shafiee", "Mohammad Javad", "" ], [ "Jamieson", "Mike", "" ], [ "Wong", "Alexander", "" ] ]
The problem of automated crowd segmentation and counting has garnered significant interest in the field of video surveillance. This paper proposes a novel scene invariant crowd segmentation and counting algorithm designed with high accuracy yet low computational complexity in mind, which is key for widespread industria...
1306.3062
Matthew England Dr
Matthew England
An implementation of CAD in Maple utilising problem formulation, equational constraints and truth-table invariance
12 pages; University of Bath, Dept. Computer Science Technical Report Series, 2013-02, 2013
null
null
null
cs.SC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cylindrical algebraic decomposition (CAD) is an important tool for the investigation of semi-algebraic sets, with applications within algebraic geometry and beyond. We recently reported on a new implementation of CAD in Maple which implemented the original algorithm of Collins and the subsequent improvement to projec...
[ { "created": "Thu, 13 Jun 2013 09:35:05 GMT", "version": "v1" } ]
2013-06-14
[ [ "England", "Matthew", "" ] ]
Cylindrical algebraic decomposition (CAD) is an important tool for the investigation of semi-algebraic sets, with applications within algebraic geometry and beyond. We recently reported on a new implementation of CAD in Maple which implemented the original algorithm of Collins and the subsequent improvement to projecti...
2009.03523
Thyagharajan K K
L. Balaji, K.K. Thyagharajan, C. Raja, A. Dhanalakshmi
An optimal mode selection algorithm for scalable video coding
14 pages, 1 figure
International Journal of Computational Vision and Robotics (IJCVR), Vol. 10, No. 2, 2020
10.1504/IJCVR.2020.105685
null
cs.MM eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Scalable video coding (SVC) is extended from its predecessor advanced video coding (AVC) because of its flexible transmission to all type of gadgets. However, SVC is more flexible and scalable than AVC, but it is more complex in determining the computations than AVC. The traditional full search method in the standard...
[ { "created": "Tue, 8 Sep 2020 05:26:16 GMT", "version": "v1" } ]
2020-09-09
[ [ "Balaji", "L.", "" ], [ "Thyagharajan", "K. K.", "" ], [ "Raja", "C.", "" ], [ "Dhanalakshmi", "A.", "" ] ]
Scalable video coding (SVC) is extended from its predecessor advanced video coding (AVC) because of its flexible transmission to all type of gadgets. However, SVC is more flexible and scalable than AVC, but it is more complex in determining the computations than AVC. The traditional full search method in the standard H...
2003.04073
Tobias Daudert
Tobias Daudert
A Multi-Source Entity-Level Sentiment Corpus for the Financial Domain: The FinLin Corpus
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce FinLin, a novel corpus containing investor reports, company reports, news articles, and microblogs from StockTwits, targeting multiple entities stemming from the automobile industry and covering a 3-month period. FinLin was annotated with a sentiment score and a relevance score in the range [-1.0, 1.0] a...
[ { "created": "Mon, 9 Mar 2020 12:34:48 GMT", "version": "v1" } ]
2020-03-10
[ [ "Daudert", "Tobias", "" ] ]
We introduce FinLin, a novel corpus containing investor reports, company reports, news articles, and microblogs from StockTwits, targeting multiple entities stemming from the automobile industry and covering a 3-month period. FinLin was annotated with a sentiment score and a relevance score in the range [-1.0, 1.0] and...
1603.01583
Przemys{\l}aw Uzna\'nski
Pawe{\l} Gawrychowski, Jukka Suomela, Przemys{\l}aw Uzna\'nski
Randomized algorithms for finding a majority element
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Given $n$ colored balls, we want to detect if more than $\lfloor n/2\rfloor$ of them have the same color, and if so find one ball with such majority color. We are only allowed to choose two balls and compare their colors, and the goal is to minimize the total number of such operations. A well-known exercise is to sho...
[ { "created": "Fri, 4 Mar 2016 19:29:56 GMT", "version": "v1" }, { "created": "Sun, 17 Apr 2016 13:41:50 GMT", "version": "v2" }, { "created": "Thu, 28 Apr 2016 22:05:49 GMT", "version": "v3" } ]
2016-05-02
[ [ "Gawrychowski", "Paweł", "" ], [ "Suomela", "Jukka", "" ], [ "Uznański", "Przemysław", "" ] ]
Given $n$ colored balls, we want to detect if more than $\lfloor n/2\rfloor$ of them have the same color, and if so find one ball with such majority color. We are only allowed to choose two balls and compare their colors, and the goal is to minimize the total number of such operations. A well-known exercise is to show ...
1706.06415
Yang Liu
Jiacheng Zhang, Yanzhuo Ding, Shiqi Shen, Yong Cheng, Maosong Sun, Huanbo Luan, Yang Liu
THUMT: An Open Source Toolkit for Neural Machine Translation
4 pages, 1 figure
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper introduces THUMT, an open-source toolkit for neural machine translation (NMT) developed by the Natural Language Processing Group at Tsinghua University. THUMT implements the standard attention-based encoder-decoder framework on top of Theano and supports three training criteria: maximum likelihood estimati...
[ { "created": "Tue, 20 Jun 2017 13:29:16 GMT", "version": "v1" } ]
2017-06-21
[ [ "Zhang", "Jiacheng", "" ], [ "Ding", "Yanzhuo", "" ], [ "Shen", "Shiqi", "" ], [ "Cheng", "Yong", "" ], [ "Sun", "Maosong", "" ], [ "Luan", "Huanbo", "" ], [ "Liu", "Yang", "" ] ]
This paper introduces THUMT, an open-source toolkit for neural machine translation (NMT) developed by the Natural Language Processing Group at Tsinghua University. THUMT implements the standard attention-based encoder-decoder framework on top of Theano and supports three training criteria: maximum likelihood estimation...
1505.05123
Santhosh Kumar
Santhosh Kumar and Henry D. Pfister
Reed-Muller Codes Achieve Capacity on Erasure Channels
(v2) Added Section V (titled 'Discussion') and a detailed discussion of primitive narrow-sense BCH codes (Section IV-C)
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper introduces a new approach to proving that a sequence of deterministic linear codes achieves capacity on an erasure channel under maximum a posteriori decoding. Rather than relying on the precise structure of the codes, this method requires only that the codes are highly symmetric. In particular, the techni...
[ { "created": "Tue, 19 May 2015 19:29:26 GMT", "version": "v1" }, { "created": "Mon, 15 Jun 2015 17:36:40 GMT", "version": "v2" } ]
2015-06-16
[ [ "Kumar", "Santhosh", "" ], [ "Pfister", "Henry D.", "" ] ]
This paper introduces a new approach to proving that a sequence of deterministic linear codes achieves capacity on an erasure channel under maximum a posteriori decoding. Rather than relying on the precise structure of the codes, this method requires only that the codes are highly symmetric. In particular, the techniqu...
2402.00787
Benjamin Patrick Evans
Benjamin Patrick Evans, Sumitra Ganesh
Learning and Calibrating Heterogeneous Bounded Rational Market Behaviour with Multi-Agent Reinforcement Learning
Accepted as a full paper at AAMAS 2024
null
null
null
cs.MA cs.CE cs.GT cs.LG econ.GN q-fin.EC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Agent-based models (ABMs) have shown promise for modelling various real world phenomena incompatible with traditional equilibrium analysis. However, a critical concern is the manual definition of behavioural rules in ABMs. Recent developments in multi-agent reinforcement learning (MARL) offer a way to address this is...
[ { "created": "Thu, 1 Feb 2024 17:21:45 GMT", "version": "v1" } ]
2024-02-02
[ [ "Evans", "Benjamin Patrick", "" ], [ "Ganesh", "Sumitra", "" ] ]
Agent-based models (ABMs) have shown promise for modelling various real world phenomena incompatible with traditional equilibrium analysis. However, a critical concern is the manual definition of behavioural rules in ABMs. Recent developments in multi-agent reinforcement learning (MARL) offer a way to address this issu...
2007.10937
Yu Xiong
Qingqiu Huang, Yu Xiong, Anyi Rao, Jiaze Wang, Dahua Lin
MovieNet: A Holistic Dataset for Movie Understanding
Accepted by ECCV2020 as spotlight presentation. Project page: http://movienet.site
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Recent years have seen remarkable advances in visual understanding. However, how to understand a story-based long video with artistic styles, e.g. movie, remains challenging. In this paper, we introduce MovieNet -- a holistic dataset for movie understanding. MovieNet contains 1,100 movies with a large amount of multi...
[ { "created": "Tue, 21 Jul 2020 16:54:33 GMT", "version": "v1" } ]
2020-07-22
[ [ "Huang", "Qingqiu", "" ], [ "Xiong", "Yu", "" ], [ "Rao", "Anyi", "" ], [ "Wang", "Jiaze", "" ], [ "Lin", "Dahua", "" ] ]
Recent years have seen remarkable advances in visual understanding. However, how to understand a story-based long video with artistic styles, e.g. movie, remains challenging. In this paper, we introduce MovieNet -- a holistic dataset for movie understanding. MovieNet contains 1,100 movies with a large amount of multi-m...
2202.03905
Markus Nemitz
Jovanna A. Tracz, Lukas Wille, Dylan Pathiraja, Savita V. Kendre, Ron Pfisterer, Ethan Turett, Gus T. Teran, Christoffer K. Abrahamsson, Samuel E. Root, Won-Kyu Lee, Daniel J. Preston, Haihui Joy Jiang, George M. Whitesides, and Markus P. Nemitz
Tube-Balloon Logic for the Exploration of Fluidic Control Elements
Accepted manuscript (journal): Robotics and Automation Letter, 2022
null
null
null
cs.RO
http://creativecommons.org/licenses/by-nc-nd/4.0/
The control of pneumatically driven soft robots typically requires electronics. Microcontrollers are connected to power electronics that switch valves and pumps on and off. As a recent alternative, fluidic control methods have been introduced, in which soft digital logic gates permit multiple actuation states to be a...
[ { "created": "Tue, 8 Feb 2022 14:51:03 GMT", "version": "v1" } ]
2022-02-09
[ [ "Tracz", "Jovanna A.", "" ], [ "Wille", "Lukas", "" ], [ "Pathiraja", "Dylan", "" ], [ "Kendre", "Savita V.", "" ], [ "Pfisterer", "Ron", "" ], [ "Turett", "Ethan", "" ], [ "Teran", "Gus T.", "" ], [ ...
The control of pneumatically driven soft robots typically requires electronics. Microcontrollers are connected to power electronics that switch valves and pumps on and off. As a recent alternative, fluidic control methods have been introduced, in which soft digital logic gates permit multiple actuation states to be ach...
2310.09147
Sheng Zhou
Sheng Zhou, Dan Guo, Jia Li, Xun Yang, Meng Wang
Exploring Sparse Spatial Relation in Graph Inference for Text-Based VQA
Accepted by TIP 2023
null
10.1109/TIP.2023.3310332
null
cs.MM cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Text-based visual question answering (TextVQA) faces the significant challenge of avoiding redundant relational inference. To be specific, a large number of detected objects and optical character recognition (OCR) tokens result in rich visual relationships. Existing works take all visual relationships into account fo...
[ { "created": "Fri, 13 Oct 2023 14:39:34 GMT", "version": "v1" } ]
2023-10-16
[ [ "Zhou", "Sheng", "" ], [ "Guo", "Dan", "" ], [ "Li", "Jia", "" ], [ "Yang", "Xun", "" ], [ "Wang", "Meng", "" ] ]
Text-based visual question answering (TextVQA) faces the significant challenge of avoiding redundant relational inference. To be specific, a large number of detected objects and optical character recognition (OCR) tokens result in rich visual relationships. Existing works take all visual relationships into account for ...
2307.12793
Jiacheng Yao
Jiacheng Yao, Zhaohui Yang, Wei Xu, Dusit Niyato, and Xiaohu You
Imperfect CSI: A Key Factor of Uncertainty to Over-the-Air Federated Learning
Submitted to IEEE for possible publication
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Over-the-air computation (AirComp) has recently been identified as a prominent technique to enhance communication efficiency of wireless federated learning (FL). This letter investigates the impact of channel state information (CSI) uncertainty at the transmitter on an AirComp enabled FL (AirFL) system with the trunc...
[ { "created": "Mon, 24 Jul 2023 13:43:38 GMT", "version": "v1" } ]
2023-07-25
[ [ "Yao", "Jiacheng", "" ], [ "Yang", "Zhaohui", "" ], [ "Xu", "Wei", "" ], [ "Niyato", "Dusit", "" ], [ "You", "Xiaohu", "" ] ]
Over-the-air computation (AirComp) has recently been identified as a prominent technique to enhance communication efficiency of wireless federated learning (FL). This letter investigates the impact of channel state information (CSI) uncertainty at the transmitter on an AirComp enabled FL (AirFL) system with the truncat...
2401.10845
Mia Mohammad Imran
Mia Mohammad Imran
Emotion Classification In Software Engineering Texts: A Comparative Analysis of Pre-trained Transformers Language Models
null
null
null
null
cs.SE
http://creativecommons.org/licenses/by/4.0/
Emotion recognition in software engineering texts is critical for understanding developer expressions and improving collaboration. This paper presents a comparative analysis of state-of-the-art Pre-trained Language Models (PTMs) for fine-grained emotion classification on two benchmark datasets from GitHub and Stack O...
[ { "created": "Fri, 19 Jan 2024 17:43:38 GMT", "version": "v1" }, { "created": "Mon, 22 Jan 2024 11:05:56 GMT", "version": "v2" }, { "created": "Sat, 3 Feb 2024 06:54:12 GMT", "version": "v3" } ]
2024-02-06
[ [ "Imran", "Mia Mohammad", "" ] ]
Emotion recognition in software engineering texts is critical for understanding developer expressions and improving collaboration. This paper presents a comparative analysis of state-of-the-art Pre-trained Language Models (PTMs) for fine-grained emotion classification on two benchmark datasets from GitHub and Stack Ove...
2404.17663
Juan Pablo Alperin
Juan Pablo Alperin, Jason Portenoy, Kyle Demes, Vincent Larivi\`ere and Stefanie Haustein
An analysis of the suitability of OpenAlex for bibliometric analyses
null
null
null
null
cs.DL
http://creativecommons.org/licenses/by/4.0/
Scopus and the Web of Science have been the foundation for research in the science of science even though these traditional databases systematically underrepresent certain disciplines and world regions. In response, new inclusive databases, notably OpenAlex, have emerged. While many studies have begun using OpenAlex ...
[ { "created": "Fri, 26 Apr 2024 19:08:55 GMT", "version": "v1" } ]
2024-04-30
[ [ "Alperin", "Juan Pablo", "" ], [ "Portenoy", "Jason", "" ], [ "Demes", "Kyle", "" ], [ "Larivière", "Vincent", "" ], [ "Haustein", "Stefanie", "" ] ]
Scopus and the Web of Science have been the foundation for research in the science of science even though these traditional databases systematically underrepresent certain disciplines and world regions. In response, new inclusive databases, notably OpenAlex, have emerged. While many studies have begun using OpenAlex as...
2402.02807
Johann-Mattis List
Luise H\"auser and Gerhard J\"ager and Taraka Rama and Johann-Mattis List and Alexandros Stamatakis
Are Sounds Sound for Phylogenetic Reconstruction?
Paper accepted for SIGTYP (2024): H\"auser, Luise; J\"ager, Gerhard; List, Johann-Mattis; Rama, Taraka; and Stamatakis, Alexandros (2024): Are sounds sound for phylogenetic reconstruction? In: Proceedings of the 6th Workshop on Research in Computational Linguistic Typology and Multilingual NLP (SIGTYP 2024)
null
null
null
cs.CL cs.SD eess.AS
http://creativecommons.org/licenses/by/4.0/
In traditional studies on language evolution, scholars often emphasize the importance of sound laws and sound correspondences for phylogenetic inference of language family trees. However, to date, computational approaches have typically not taken this potential into account. Most computational studies still rely on l...
[ { "created": "Mon, 5 Feb 2024 08:35:33 GMT", "version": "v1" }, { "created": "Mon, 13 May 2024 12:49:35 GMT", "version": "v2" }, { "created": "Tue, 14 May 2024 07:38:26 GMT", "version": "v3" } ]
2024-05-15
[ [ "Häuser", "Luise", "" ], [ "Jäger", "Gerhard", "" ], [ "Rama", "Taraka", "" ], [ "List", "Johann-Mattis", "" ], [ "Stamatakis", "Alexandros", "" ] ]
In traditional studies on language evolution, scholars often emphasize the importance of sound laws and sound correspondences for phylogenetic inference of language family trees. However, to date, computational approaches have typically not taken this potential into account. Most computational studies still rely on lex...
2310.00711
Wei Ni
Wei Ni, Xiaoye Miao, Xiangyu Zhao, Yangyang Wu, Jianwei Yin
Automatic Data Repair: Are We Ready to Deploy?
14 pages, 51 figures
null
null
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Data quality is paramount in today's data-driven world, especially in the era of generative AI. Dirty data with errors and inconsistencies usually leads to flawed insights, unreliable decision-making, and biased or low-quality outputs from generative models. The study of repairing erroneous data has gained significan...
[ { "created": "Sun, 1 Oct 2023 16:03:29 GMT", "version": "v1" } ]
2023-10-03
[ [ "Ni", "Wei", "" ], [ "Miao", "Xiaoye", "" ], [ "Zhao", "Xiangyu", "" ], [ "Wu", "Yangyang", "" ], [ "Yin", "Jianwei", "" ] ]
Data quality is paramount in today's data-driven world, especially in the era of generative AI. Dirty data with errors and inconsistencies usually leads to flawed insights, unreliable decision-making, and biased or low-quality outputs from generative models. The study of repairing erroneous data has gained significant ...
2212.06519
Valerio Brunacci
Valerio Brunacci, Alessio De Angelis, Gabriele Costante
Development of a Cooperative Localization System using a UWB Network and BLE Technology
6 pages, 12 figures, 2022 IEEE International Symposium on Measurements & Networking (M&N)
null
10.1109/MN55117.2022.9887703
null
cs.RO cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents the development of a system able to estimate the 2D relative position of nodes in a wireless network, based on distance measurements between the nodes. The system uses ultra wide band ranging technology and the Bluetooth Low Energy protocol to acquire data. Furthermore, a nonlinear least squares p...
[ { "created": "Tue, 13 Dec 2022 12:07:17 GMT", "version": "v1" } ]
2022-12-14
[ [ "Brunacci", "Valerio", "" ], [ "De Angelis", "Alessio", "" ], [ "Costante", "Gabriele", "" ] ]
This paper presents the development of a system able to estimate the 2D relative position of nodes in a wireless network, based on distance measurements between the nodes. The system uses ultra wide band ranging technology and the Bluetooth Low Energy protocol to acquire data. Furthermore, a nonlinear least squares pro...
1402.1925
Priyadharshini
Priyadharshini.V and Malathi.A
Survey on software testing techniques in cloud computing
5 pages, 2 figures. volume 4 issue 8 august 2013
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cloud computing is the next stage of the internet evolution. It relies on sharing of resources to achieve coherence on a network. It is emerged as new computing standard that impacts several different research fields, including software testing. There are various software techniques used for testing application. It n...
[ { "created": "Sun, 9 Feb 2014 07:59:32 GMT", "version": "v1" } ]
2014-02-11
[ [ "V", "Priyadharshini.", "" ], [ "A", "Malathi.", "" ] ]
Cloud computing is the next stage of the internet evolution. It relies on sharing of resources to achieve coherence on a network. It is emerged as new computing standard that impacts several different research fields, including software testing. There are various software techniques used for testing application. It not...
2104.09942
Yevgeny Tsodikovich
Galit Ashkenazi-Golan, Yevgeny Tsodikovich, Yannick Viossat
I Want to Tell You? Maximizing Revenue in First-Price Two-Stage Auctions
null
null
null
null
cs.GT econ.TH math.OC
http://creativecommons.org/licenses/by/4.0/
A common practice in many auctions is to offer bidders an opportunity to improve their bids, known as a Best and Final Offer (BAFO) stage. This final bid can depend on new information provided about either the asset or the competitors. This paper examines the effects of new information regarding competitors, seeking ...
[ { "created": "Tue, 20 Apr 2021 13:06:59 GMT", "version": "v1" } ]
2021-04-21
[ [ "Ashkenazi-Golan", "Galit", "" ], [ "Tsodikovich", "Yevgeny", "" ], [ "Viossat", "Yannick", "" ] ]
A common practice in many auctions is to offer bidders an opportunity to improve their bids, known as a Best and Final Offer (BAFO) stage. This final bid can depend on new information provided about either the asset or the competitors. This paper examines the effects of new information regarding competitors, seeking to...
2407.12671
Emmanouil Karystinaios
Emmanouil Karystinaios and Gerhard Widmer
GraphMuse: A Library for Symbolic Music Graph Processing
Accepted at the 25th International Society for Music Information Retrieval Conference (ISMIR 2024)
null
null
null
cs.SD cs.AI cs.DL eess.AS
http://creativecommons.org/licenses/by/4.0/
Graph Neural Networks (GNNs) have recently gained traction in symbolic music tasks, yet a lack of a unified framework impedes progress. Addressing this gap, we present GraphMuse, a graph processing framework and library that facilitates efficient music graph processing and GNN training for symbolic music tasks. Centr...
[ { "created": "Wed, 17 Jul 2024 15:54:09 GMT", "version": "v1" } ]
2024-07-18
[ [ "Karystinaios", "Emmanouil", "" ], [ "Widmer", "Gerhard", "" ] ]
Graph Neural Networks (GNNs) have recently gained traction in symbolic music tasks, yet a lack of a unified framework impedes progress. Addressing this gap, we present GraphMuse, a graph processing framework and library that facilitates efficient music graph processing and GNN training for symbolic music tasks. Central...
2405.06065
Charles Delahunt
Charles B. Delahunt, Courosh Mehanian, and Matthew P. Horning
Driving down Poisson error can offset classification error in clinical tasks
8 pages + appendix, 4 figures
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Medical machine learning algorithms are typically evaluated based on accuracy vs. a clinician-defined ground truth, a reasonable initial choice since trained clinicians are usually better classifiers than ML models. However, this metric does not fully capture the actual clinical task: it neglects the fact that humans...
[ { "created": "Thu, 9 May 2024 19:23:35 GMT", "version": "v1" }, { "created": "Sat, 18 May 2024 18:19:23 GMT", "version": "v2" } ]
2024-05-21
[ [ "Delahunt", "Charles B.", "" ], [ "Mehanian", "Courosh", "" ], [ "Horning", "Matthew P.", "" ] ]
Medical machine learning algorithms are typically evaluated based on accuracy vs. a clinician-defined ground truth, a reasonable initial choice since trained clinicians are usually better classifiers than ML models. However, this metric does not fully capture the actual clinical task: it neglects the fact that humans, ...
2401.05824
Chang Xiong Phang
Kenji Phang, Siddharth Saarathi Pradhan, Chino Ikwuegbu, Gonzalo Ramos, Denae Ford, Ebele Okoli, Salman Muin Kayser Chishti, Jina Suh
Youth WellTech: A Global Remote Co-Design Sprint for Youth Mental Health Technology
Case Study, 13 pages
null
null
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Mental health is a pressing concern in today's digital age, particularly among youth who are deeply intertwined with technology. Despite the influx of technology solutions addressing mental health issues, youth often remain sidelined during the design process. While co-design methods have been employed to improve par...
[ { "created": "Thu, 11 Jan 2024 10:43:37 GMT", "version": "v1" } ]
2024-01-12
[ [ "Phang", "Kenji", "" ], [ "Pradhan", "Siddharth Saarathi", "" ], [ "Ikwuegbu", "Chino", "" ], [ "Ramos", "Gonzalo", "" ], [ "Ford", "Denae", "" ], [ "Okoli", "Ebele", "" ], [ "Chishti", "Salman Muin Kayser", ...
Mental health is a pressing concern in today's digital age, particularly among youth who are deeply intertwined with technology. Despite the influx of technology solutions addressing mental health issues, youth often remain sidelined during the design process. While co-design methods have been employed to improve parti...
2012.14610
Xilun Chen
Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Schlichtkrull, Sonal Gupta, Yashar Mehdad, Scott Yih
UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering
NAACL-HLT 2022 Findings
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
We study open-domain question answering with structured, unstructured and semi-structured knowledge sources, including text, tables, lists and knowledge bases. Departing from prior work, we propose a unifying approach that homogenizes all sources by reducing them to text and applies the retriever-reader model which h...
[ { "created": "Tue, 29 Dec 2020 05:14:08 GMT", "version": "v1" }, { "created": "Tue, 20 Jul 2021 00:01:35 GMT", "version": "v2" }, { "created": "Tue, 3 May 2022 23:27:32 GMT", "version": "v3" } ]
2022-05-05
[ [ "Oguz", "Barlas", "" ], [ "Chen", "Xilun", "" ], [ "Karpukhin", "Vladimir", "" ], [ "Peshterliev", "Stan", "" ], [ "Okhonko", "Dmytro", "" ], [ "Schlichtkrull", "Michael", "" ], [ "Gupta", "Sonal", "" ], ...
We study open-domain question answering with structured, unstructured and semi-structured knowledge sources, including text, tables, lists and knowledge bases. Departing from prior work, we propose a unifying approach that homogenizes all sources by reducing them to text and applies the retriever-reader model which has...
2212.04497
Abdelrahman Shaker
Abdelrahman Shaker, Muhammad Maaz, Hanoona Rasheed, Salman Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan
UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation
Accepted at IEEE TMI-2024
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Owing to the success of transformer models, recent works study their applicability in 3D medical segmentation tasks. Within the transformer models, the self-attention mechanism is one of the main building blocks that strives to capture long-range dependencies. However, the self-attention operation has quadratic compl...
[ { "created": "Thu, 8 Dec 2022 18:59:57 GMT", "version": "v1" }, { "created": "Wed, 22 Mar 2023 20:30:10 GMT", "version": "v2" }, { "created": "Sat, 4 May 2024 09:48:32 GMT", "version": "v3" } ]
2024-05-07
[ [ "Shaker", "Abdelrahman", "" ], [ "Maaz", "Muhammad", "" ], [ "Rasheed", "Hanoona", "" ], [ "Khan", "Salman", "" ], [ "Yang", "Ming-Hsuan", "" ], [ "Khan", "Fahad Shahbaz", "" ] ]
Owing to the success of transformer models, recent works study their applicability in 3D medical segmentation tasks. Within the transformer models, the self-attention mechanism is one of the main building blocks that strives to capture long-range dependencies. However, the self-attention operation has quadratic complex...
1604.04164
Elena Botoeva
Elena Botoeva, Carsten Lutz, Vladislav Ryzhikov, Frank Wolter, Michael Zakharyaschev
Query-Based Entailment and Inseparability for ALC Ontologies (Full Version)
The full version of the paper accepted at IJCAI 2016
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We investigate the problem whether two ALC knowledge bases are indistinguishable by queries over a given vocabulary. We give model-theoretic criteria in terms of (partial) homomorphisms and products and prove that this problem is undecidable for conjunctive queries (CQs) but 2EXPTIME-complete for UCQs (unions of CQs)...
[ { "created": "Thu, 14 Apr 2016 14:16:39 GMT", "version": "v1" }, { "created": "Thu, 4 Aug 2016 21:34:19 GMT", "version": "v2" } ]
2016-08-08
[ [ "Botoeva", "Elena", "" ], [ "Lutz", "Carsten", "" ], [ "Ryzhikov", "Vladislav", "" ], [ "Wolter", "Frank", "" ], [ "Zakharyaschev", "Michael", "" ] ]
We investigate the problem whether two ALC knowledge bases are indistinguishable by queries over a given vocabulary. We give model-theoretic criteria in terms of (partial) homomorphisms and products and prove that this problem is undecidable for conjunctive queries (CQs) but 2EXPTIME-complete for UCQs (unions of CQs). ...