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2208.12960
Wansen Wang
Wansen Wang, Wenchao Huang, Zhaoyi Meng, Yan Xiong, Fuyou Miao, Xianjin Fang, Caichang Tu, Renjie Ji
An Automated Analyzer for Financial Security of Ethereum Smart Contracts
null
In 32nd USENIX Security Symposium (USENIX Security 2023) (pp. 3367-3383)
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
At present, millions of Ethereum smart contracts are created per year and attract financially motivated attackers. However, existing analyzers do not meet the need to precisely analyze the financial security of large numbers of contracts. In this paper, we propose and implement FASVERIF, an automated analyzer for fin...
[ { "created": "Sat, 27 Aug 2022 08:46:52 GMT", "version": "v1" }, { "created": "Thu, 1 Sep 2022 02:26:54 GMT", "version": "v2" }, { "created": "Fri, 24 Mar 2023 02:12:57 GMT", "version": "v3" } ]
2024-03-06
[ [ "Wang", "Wansen", "" ], [ "Huang", "Wenchao", "" ], [ "Meng", "Zhaoyi", "" ], [ "Xiong", "Yan", "" ], [ "Miao", "Fuyou", "" ], [ "Fang", "Xianjin", "" ], [ "Tu", "Caichang", "" ], [ "Ji", "Renji...
At present, millions of Ethereum smart contracts are created per year and attract financially motivated attackers. However, existing analyzers do not meet the need to precisely analyze the financial security of large numbers of contracts. In this paper, we propose and implement FASVERIF, an automated analyzer for fine-...
2004.00668
Ian Covert
Ian Covert, Scott Lundberg, Su-In Lee
Understanding Global Feature Contributions With Additive Importance Measures
NeurIPS 2020 Camera Ready
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Understanding the inner workings of complex machine learning models is a long-standing problem and most recent research has focused on local interpretability. To assess the role of individual input features in a global sense, we explore the perspective of defining feature importance through the predictive power assoc...
[ { "created": "Wed, 1 Apr 2020 19:17:58 GMT", "version": "v1" }, { "created": "Tue, 27 Oct 2020 06:46:04 GMT", "version": "v2" } ]
2020-10-28
[ [ "Covert", "Ian", "" ], [ "Lundberg", "Scott", "" ], [ "Lee", "Su-In", "" ] ]
Understanding the inner workings of complex machine learning models is a long-standing problem and most recent research has focused on local interpretability. To assess the role of individual input features in a global sense, we explore the perspective of defining feature importance through the predictive power associa...
2107.04281
Felix Juefei-Xu
Qing Guo and Xiaoguang Li and Felix Juefei-Xu and Hongkai Yu and Yang Liu and Song wang
JPGNet: Joint Predictive Filtering and Generative Network for Image Inpainting
This work has been accepted to ACM-MM 2021
null
10.1145/3474085.3475170
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Image inpainting aims to restore the missing regions of corrupted images and make the recovery result identical to the originally complete image, which is different from the common generative task emphasizing the naturalness or realism of generated images. Nevertheless, existing works usually regard it as a pure gene...
[ { "created": "Fri, 9 Jul 2021 07:49:52 GMT", "version": "v1" }, { "created": "Sat, 24 Jul 2021 04:12:35 GMT", "version": "v2" }, { "created": "Mon, 18 Oct 2021 07:27:03 GMT", "version": "v3" } ]
2021-10-19
[ [ "Guo", "Qing", "" ], [ "Li", "Xiaoguang", "" ], [ "Juefei-Xu", "Felix", "" ], [ "Yu", "Hongkai", "" ], [ "Liu", "Yang", "" ], [ "wang", "Song", "" ] ]
Image inpainting aims to restore the missing regions of corrupted images and make the recovery result identical to the originally complete image, which is different from the common generative task emphasizing the naturalness or realism of generated images. Nevertheless, existing works usually regard it as a pure genera...
1904.01054
Juan M. Dur\'an
Juan M. Dur\'an
Varying the explanatory span: scientific explanation for computer simulations
null
null
10.1080/02698595.2017.1370929
null
cs.OH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This article aims to develop a new account of scientific explanation for computer simulations. To this end, two questions are answered: what is the explanatory relation for computer simulations? and what kind of epistemic gain should be expected? For several reasons tailored to the benefits and needs of computer simu...
[ { "created": "Sat, 9 Mar 2019 09:23:10 GMT", "version": "v1" } ]
2019-04-03
[ [ "Durán", "Juan M.", "" ] ]
This article aims to develop a new account of scientific explanation for computer simulations. To this end, two questions are answered: what is the explanatory relation for computer simulations? and what kind of epistemic gain should be expected? For several reasons tailored to the benefits and needs of computer simula...
2403.17220
Lydia Nishimwe
Lydia Nishimwe, Beno\^it Sagot, Rachel Bawden
Making Sentence Embeddings Robust to User-Generated Content
Accepted at LREC-COLING 2024
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
NLP models have been known to perform poorly on user-generated content (UGC), mainly because it presents a lot of lexical variations and deviates from the standard texts on which most of these models were trained. In this work, we focus on the robustness of LASER, a sentence embedding model, to UGC data. We evaluate ...
[ { "created": "Mon, 25 Mar 2024 21:48:36 GMT", "version": "v1" } ]
2024-03-27
[ [ "Nishimwe", "Lydia", "" ], [ "Sagot", "Benoît", "" ], [ "Bawden", "Rachel", "" ] ]
NLP models have been known to perform poorly on user-generated content (UGC), mainly because it presents a lot of lexical variations and deviates from the standard texts on which most of these models were trained. In this work, we focus on the robustness of LASER, a sentence embedding model, to UGC data. We evaluate th...
2211.06121
Keita Yokoyama
Yijia Chen and Moritz M\"uller and Keita Yokoyama
A parameterized halting problem, $\Delta_0$ truth and the MRDP theorem
25 pages
null
null
null
cs.CC math.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the parameterized complexity of the problem to decide whether a given natural number $n$ satisfies a given $\Delta_0$-formula $\varphi(x)$; the parameter is the size of $\varphi$. This parameterization focusses attention on instances where $n$ is large compared to the size of $\varphi$. We show unconditional...
[ { "created": "Fri, 11 Nov 2022 11:06:58 GMT", "version": "v1" } ]
2022-11-14
[ [ "Chen", "Yijia", "" ], [ "Müller", "Moritz", "" ], [ "Yokoyama", "Keita", "" ] ]
We study the parameterized complexity of the problem to decide whether a given natural number $n$ satisfies a given $\Delta_0$-formula $\varphi(x)$; the parameter is the size of $\varphi$. This parameterization focusses attention on instances where $n$ is large compared to the size of $\varphi$. We show unconditionally...
2106.15287
Arthur Douillard
Arthur Douillard, Yifu Chen, Arnaud Dapogny, Matthieu Cord
Tackling Catastrophic Forgetting and Background Shift in Continual Semantic Segmentation
Under review at IEEE TPAMI, journal extension of arXiv:2011.11390
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Deep learning approaches are nowadays ubiquitously used to tackle computer vision tasks such as semantic segmentation, requiring large datasets and substantial computational power. Continual learning for semantic segmentation (CSS) is an emerging trend that consists in updating an old model by sequentially adding new...
[ { "created": "Tue, 29 Jun 2021 11:57:21 GMT", "version": "v1" } ]
2021-06-30
[ [ "Douillard", "Arthur", "" ], [ "Chen", "Yifu", "" ], [ "Dapogny", "Arnaud", "" ], [ "Cord", "Matthieu", "" ] ]
Deep learning approaches are nowadays ubiquitously used to tackle computer vision tasks such as semantic segmentation, requiring large datasets and substantial computational power. Continual learning for semantic segmentation (CSS) is an emerging trend that consists in updating an old model by sequentially adding new c...
1809.08208
Syed Yusha Kareem
Syed Yusha Kareem, Luca Buoncompagni, Fulvio Mastrogiovanni
Arianna+: Scalable Human Activity Recognition by Reasoning with a Network of Ontologies
13 pages, 5 figures
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Aging population ratios are rising significantly. Meanwhile, smart home based health monitoring services are evolving rapidly to become a viable alternative to traditional healthcare solutions. Such services can augment qualitative analyses done by gerontologists with quantitative data. Hence, the recognition of Acti...
[ { "created": "Fri, 21 Sep 2018 17:00:56 GMT", "version": "v1" } ]
2018-09-24
[ [ "Kareem", "Syed Yusha", "" ], [ "Buoncompagni", "Luca", "" ], [ "Mastrogiovanni", "Fulvio", "" ] ]
Aging population ratios are rising significantly. Meanwhile, smart home based health monitoring services are evolving rapidly to become a viable alternative to traditional healthcare solutions. Such services can augment qualitative analyses done by gerontologists with quantitative data. Hence, the recognition of Activi...
2309.08173
Linan Yue
Linan Yue, Qi Liu, Yichao Du, Weibo Gao, Ye Liu, Fangzhou Yao
FedJudge: Federated Legal Large Language Model
Accepted to DASFAA 2024
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Large Language Models (LLMs) have gained prominence in the field of Legal Intelligence, offering potential applications in assisting legal professionals and laymen. However, the centralized training of these Legal LLMs raises data privacy concerns, as legal data is distributed among various institutions containing se...
[ { "created": "Fri, 15 Sep 2023 05:45:44 GMT", "version": "v1" }, { "created": "Thu, 21 Dec 2023 08:47:33 GMT", "version": "v2" }, { "created": "Wed, 10 Apr 2024 13:24:55 GMT", "version": "v3" } ]
2024-04-11
[ [ "Yue", "Linan", "" ], [ "Liu", "Qi", "" ], [ "Du", "Yichao", "" ], [ "Gao", "Weibo", "" ], [ "Liu", "Ye", "" ], [ "Yao", "Fangzhou", "" ] ]
Large Language Models (LLMs) have gained prominence in the field of Legal Intelligence, offering potential applications in assisting legal professionals and laymen. However, the centralized training of these Legal LLMs raises data privacy concerns, as legal data is distributed among various institutions containing sens...
2210.05765
Alex Lecavalier
Alex Lecavalier, Jeff Denis, Jean-S\'ebastien Plante, Alexandre Girard
A Bimodal Hydrostatic Actuator for Robotic Legs with Compliant Fast Motion and High Lifting Force
7 pages, 15 figures
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Robotic legs have bimodal operations: swing phases when the leg needs to move quickly in the air (high-speed, low-force) and stance phases when the leg bears the weight of the system (low-speed, high-force). Sizing a traditional single-ratio actuation system for such extremum operations leads to oversized heavy elect...
[ { "created": "Tue, 11 Oct 2022 20:17:26 GMT", "version": "v1" } ]
2022-10-13
[ [ "Lecavalier", "Alex", "" ], [ "Denis", "Jeff", "" ], [ "Plante", "Jean-Sébastien", "" ], [ "Girard", "Alexandre", "" ] ]
Robotic legs have bimodal operations: swing phases when the leg needs to move quickly in the air (high-speed, low-force) and stance phases when the leg bears the weight of the system (low-speed, high-force). Sizing a traditional single-ratio actuation system for such extremum operations leads to oversized heavy electri...
2201.10777
Kenneth Stewart
Kenneth Stewart, Emre Neftci
Meta-learning Spiking Neural Networks with Surrogate Gradient Descent
Submitted to IOP Neuromorphic Computing and Engineering for peer review
null
null
null
cs.NE cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Adaptive "life-long" learning at the edge and during online task performance is an aspirational goal of AI research. Neuromorphic hardware implementing Spiking Neural Networks (SNNs) are particularly attractive in this regard, as their real-time, event-based, local computing paradigm makes them suitable for edge impl...
[ { "created": "Wed, 26 Jan 2022 06:53:46 GMT", "version": "v1" } ]
2022-01-27
[ [ "Stewart", "Kenneth", "" ], [ "Neftci", "Emre", "" ] ]
Adaptive "life-long" learning at the edge and during online task performance is an aspirational goal of AI research. Neuromorphic hardware implementing Spiking Neural Networks (SNNs) are particularly attractive in this regard, as their real-time, event-based, local computing paradigm makes them suitable for edge implem...
1404.2514
Arnob Ghosh
Arnob Ghosh and Saswati Sarkar
Quality Sensitive Price Competition in Spectrum Oligopoly:Part 1
Accepted for publication in IEEE/ACM Transactions on Networking. 41 pages single column format.Conference version is available at arXiv:1305.3351
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We investigate a spectrum oligopoly market where primaries lease their channels to secondaries in lieu of financial remuneration. Transmission quality of a channel evolves randomly. Each primary has to select the price it would quote without knowing the transmission qualities of its competitors' channels. Each second...
[ { "created": "Sun, 6 Apr 2014 04:14:03 GMT", "version": "v1" }, { "created": "Fri, 14 Nov 2014 04:41:16 GMT", "version": "v2" }, { "created": "Sat, 18 Apr 2015 07:59:17 GMT", "version": "v3" }, { "created": "Thu, 21 May 2015 07:39:43 GMT", "version": "v4" } ]
2015-05-22
[ [ "Ghosh", "Arnob", "" ], [ "Sarkar", "Saswati", "" ] ]
We investigate a spectrum oligopoly market where primaries lease their channels to secondaries in lieu of financial remuneration. Transmission quality of a channel evolves randomly. Each primary has to select the price it would quote without knowing the transmission qualities of its competitors' channels. Each secondar...
2401.13850
Nayoung Kim
Nayoung Kim, Myke C. Cohen, Yang Ba, Anna Pan, Shawaiz Bhatti, Pouria Salehi, James Sung, Erik Blasch, Michelle V. Mancenido, Erin K. Chiou
PADTHAI-MM: A Principled Approach for Designing Trustable, Human-centered AI systems using the MAST Methodology
null
null
null
null
cs.CY
http://creativecommons.org/licenses/by/4.0/
Designing for AI trustworthiness is challenging, with a lack of practical guidance despite extensive literature on trust. The Multisource AI Scorecard Table (MAST), a checklist rating system, addresses this gap in designing and evaluating AI-enabled decision support systems. We propose the Principled Approach for Des...
[ { "created": "Wed, 24 Jan 2024 23:15:44 GMT", "version": "v1" } ]
2024-01-26
[ [ "Kim", "Nayoung", "" ], [ "Cohen", "Myke C.", "" ], [ "Ba", "Yang", "" ], [ "Pan", "Anna", "" ], [ "Bhatti", "Shawaiz", "" ], [ "Salehi", "Pouria", "" ], [ "Sung", "James", "" ], [ "Blasch", "Er...
Designing for AI trustworthiness is challenging, with a lack of practical guidance despite extensive literature on trust. The Multisource AI Scorecard Table (MAST), a checklist rating system, addresses this gap in designing and evaluating AI-enabled decision support systems. We propose the Principled Approach for Desig...
2111.07274
Auriol Degbelo
Viktor Gorte, Auriol Degbelo
Choriented Maps: Visualizing SDG Data on Mobile Devices
Accepted for publication in the Cartographic Journal
null
10.1080/00087041.2021.1986616
null
cs.HC
http://creativecommons.org/licenses/by/4.0/
Choropleth maps and graduated symbol maps are often used to visualize quantitative geographic data. However, as the number of classes grows, distinguishing between adjacent classes increasingly becomes challenging. To mitigate this issue, this work introduces two new visualization types: choriented maps (maps that us...
[ { "created": "Sun, 14 Nov 2021 08:19:20 GMT", "version": "v1" }, { "created": "Wed, 4 May 2022 15:37:07 GMT", "version": "v2" } ]
2022-05-05
[ [ "Gorte", "Viktor", "" ], [ "Degbelo", "Auriol", "" ] ]
Choropleth maps and graduated symbol maps are often used to visualize quantitative geographic data. However, as the number of classes grows, distinguishing between adjacent classes increasingly becomes challenging. To mitigate this issue, this work introduces two new visualization types: choriented maps (maps that use ...
2207.12646
Ashima Garg
Ashima Garg, Depanshu Sani, Saket Anand
Learning Hierarchy Aware Features for Reducing Mistake Severity
21 pages, 7 figures, Accepted in ECCV 2022
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Label hierarchies are often available apriori as part of biological taxonomy or language datasets WordNet. Several works exploit these to learn hierarchy aware features in order to improve the classifier to make semantically meaningful mistakes while maintaining or reducing the overall error. In this paper, we propos...
[ { "created": "Tue, 26 Jul 2022 04:24:47 GMT", "version": "v1" } ]
2022-07-27
[ [ "Garg", "Ashima", "" ], [ "Sani", "Depanshu", "" ], [ "Anand", "Saket", "" ] ]
Label hierarchies are often available apriori as part of biological taxonomy or language datasets WordNet. Several works exploit these to learn hierarchy aware features in order to improve the classifier to make semantically meaningful mistakes while maintaining or reducing the overall error. In this paper, we propose ...
1312.4826
Elena Zattoni
Elena Zattoni
Geometric Methods for Invariant-Zero Cancellation in Linear Multivariable Systems: Illustrative Examples
With respect to version 1, cross references to [1] have been revised
null
null
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This note presents some numerical examples worked out in order to show the reader how to implement, within a widely accessible computational setting, the methodology for achieving zero cancellation in linear multivariable systems discussed in [1]. The results are evaluated in the light of applicability and performanc...
[ { "created": "Tue, 17 Dec 2013 15:39:00 GMT", "version": "v1" }, { "created": "Wed, 25 Dec 2013 10:50:33 GMT", "version": "v2" } ]
2013-12-30
[ [ "Zattoni", "Elena", "" ] ]
This note presents some numerical examples worked out in order to show the reader how to implement, within a widely accessible computational setting, the methodology for achieving zero cancellation in linear multivariable systems discussed in [1]. The results are evaluated in the light of applicability and performance ...
1910.02521
Thorsten Wissmann
G. Michele Pinna
Representing Dependencies in Event Structures
null
Logical Methods in Computer Science, Volume 16, Issue 2 (May 13, 2020) lmcs:5816
10.23638/LMCS-16(2:3)2020
null
cs.LO
http://creativecommons.org/licenses/by/4.0/
Event structures where the causality may explicitly change during a computation have recently gained the stage. In this kind of event structures the changes in the set of the causes of an event are triggered by modifiers that may add or remove dependencies, thus making the happening of an event contextual. Still the ...
[ { "created": "Sun, 6 Oct 2019 20:39:58 GMT", "version": "v1" }, { "created": "Mon, 17 Feb 2020 14:49:33 GMT", "version": "v2" }, { "created": "Mon, 11 May 2020 14:40:12 GMT", "version": "v3" }, { "created": "Tue, 12 May 2020 06:49:58 GMT", "version": "v4" } ]
2023-06-22
[ [ "Pinna", "G. Michele", "" ] ]
Event structures where the causality may explicitly change during a computation have recently gained the stage. In this kind of event structures the changes in the set of the causes of an event are triggered by modifiers that may add or remove dependencies, thus making the happening of an event contextual. Still the fo...
1703.00900
Manuela Fischer
Manuela Fischer
Improved Deterministic Distributed Matching via Rounding
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present improved deterministic distributed algorithms for a number of well-studied matching problems, which are simpler, faster, more accurate, and/or more general than their known counterparts. The common denominator of these results is a deterministic distributed rounding method for certain linear programs, whic...
[ { "created": "Thu, 2 Mar 2017 18:55:52 GMT", "version": "v1" }, { "created": "Mon, 7 Aug 2017 17:37:55 GMT", "version": "v2" } ]
2017-08-08
[ [ "Fischer", "Manuela", "" ] ]
We present improved deterministic distributed algorithms for a number of well-studied matching problems, which are simpler, faster, more accurate, and/or more general than their known counterparts. The common denominator of these results is a deterministic distributed rounding method for certain linear programs, which ...
1408.3458
Bo Zhou
Bo Zhou, Ying Cui, Meixia Tao
Stochastic Throughput Optimization for Two-hop Systems with Finite Relay Buffers
15 pages, double-column, 9 figures, 3 tables. Accepted by IEEE Transaction on Signal Processing
null
10.1109/TSP.2015.2452225
null
cs.IT cs.NI math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Optimal queueing control of multi-hop networks remains a challenging problem even in the simplest scenarios. In this paper, we consider a two-hop half-duplex relaying system with random channel connectivity. The relay is equipped with a finite buffer. We focus on stochastic link selection and transmission rate contro...
[ { "created": "Fri, 15 Aug 2014 02:38:37 GMT", "version": "v1" }, { "created": "Fri, 13 Mar 2015 05:50:01 GMT", "version": "v2" }, { "created": "Sat, 29 Aug 2015 11:53:02 GMT", "version": "v3" } ]
2015-10-28
[ [ "Zhou", "Bo", "" ], [ "Cui", "Ying", "" ], [ "Tao", "Meixia", "" ] ]
Optimal queueing control of multi-hop networks remains a challenging problem even in the simplest scenarios. In this paper, we consider a two-hop half-duplex relaying system with random channel connectivity. The relay is equipped with a finite buffer. We focus on stochastic link selection and transmission rate control ...
1901.10757
Nicolas Gillis
Nicolas Gillis, Le Thi Khanh Hien, Valentin Leplat, Vincent Y. F. Tan
Distributionally Robust and Multi-Objective Nonnegative Matrix Factorization
Accepted in IEEE Trans. on Pattern Analysis and Machine Intelligence
null
null
null
cs.LG math.OC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Nonnegative matrix factorization (NMF) is a linear dimensionality reduction technique for analyzing nonnegative data. A key aspect of NMF is the choice of the objective function that depends on the noise model (or statistics of the noise) assumed on the data. In many applications, the noise model is unknown and diffi...
[ { "created": "Wed, 30 Jan 2019 10:41:21 GMT", "version": "v1" }, { "created": "Thu, 31 Jan 2019 08:21:00 GMT", "version": "v2" }, { "created": "Tue, 9 Feb 2021 07:51:30 GMT", "version": "v3" } ]
2021-02-10
[ [ "Gillis", "Nicolas", "" ], [ "Hien", "Le Thi Khanh", "" ], [ "Leplat", "Valentin", "" ], [ "Tan", "Vincent Y. F.", "" ] ]
Nonnegative matrix factorization (NMF) is a linear dimensionality reduction technique for analyzing nonnegative data. A key aspect of NMF is the choice of the objective function that depends on the noise model (or statistics of the noise) assumed on the data. In many applications, the noise model is unknown and difficu...
2102.13156
Naoya Takeishi
Naoya Takeishi and Alexandros Kalousis
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling
null
null
null
null
cs.LG stat.ML
http://creativecommons.org/licenses/by/4.0/
Integrating physics models within machine learning models holds considerable promise toward learning robust models with improved interpretability and abilities to extrapolate. In this work, we focus on the integration of incomplete physics models into deep generative models. In particular, we introduce an architectur...
[ { "created": "Thu, 25 Feb 2021 20:28:52 GMT", "version": "v1" }, { "created": "Tue, 8 Jun 2021 08:03:42 GMT", "version": "v2" }, { "created": "Tue, 26 Oct 2021 19:14:57 GMT", "version": "v3" } ]
2021-10-28
[ [ "Takeishi", "Naoya", "" ], [ "Kalousis", "Alexandros", "" ] ]
Integrating physics models within machine learning models holds considerable promise toward learning robust models with improved interpretability and abilities to extrapolate. In this work, we focus on the integration of incomplete physics models into deep generative models. In particular, we introduce an architecture ...
2007.08284
Saeideh Nabipour
Saeideh Nabipour, Gholamreza Zare Fatin, Javad Javidan
Area- Efficient VLSI Implementation of Serial-In Parallel-Out Multiplier Using Polynomial Representation in Finite Field GF(2m)
The simulation results needs to be to verified
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Finite field multiplier is mainly used in error-correcting codes and signal processing. Finite field multiplier is regarded as the bottleneck arithmetic unit for such applications and it is the most complicated operation over finite field GF(2m) which requires a huge amount of logic resources. In this paper, a new mo...
[ { "created": "Thu, 16 Jul 2020 12:20:30 GMT", "version": "v1" }, { "created": "Tue, 13 Sep 2022 17:48:17 GMT", "version": "v2" }, { "created": "Thu, 17 Nov 2022 14:35:13 GMT", "version": "v3" }, { "created": "Tue, 12 Sep 2023 15:38:31 GMT", "version": "v4" }, { "c...
2023-09-15
[ [ "Nabipour", "Saeideh", "" ], [ "Fatin", "Gholamreza Zare", "" ], [ "Javidan", "Javad", "" ] ]
Finite field multiplier is mainly used in error-correcting codes and signal processing. Finite field multiplier is regarded as the bottleneck arithmetic unit for such applications and it is the most complicated operation over finite field GF(2m) which requires a huge amount of logic resources. In this paper, a new modi...
2301.01894
Anthony Vanky
Anthony Vanky and Ri Le
Urban-Semantic Computer Vision: A Framework for Contextual Understanding of People in Urban Spaces
21 pages, 3 figures
null
null
null
cs.CY
http://creativecommons.org/licenses/by/4.0/
Increasing computational power and improving deep learning methods have made computer vision technologies pervasively common in urban environments. Their applications in policing, traffic management, and documenting public spaces are increasingly common. Despite the often-discussed biases in the algorithms' training ...
[ { "created": "Thu, 5 Jan 2023 03:44:03 GMT", "version": "v1" } ]
2023-01-06
[ [ "Vanky", "Anthony", "" ], [ "Le", "Ri", "" ] ]
Increasing computational power and improving deep learning methods have made computer vision technologies pervasively common in urban environments. Their applications in policing, traffic management, and documenting public spaces are increasingly common. Despite the often-discussed biases in the algorithms' training an...
2208.10483
Shivakanth Sujit
Shivakanth Sujit, Somjit Nath, Pedro H. M. Braga, Samira Ebrahimi Kahou
Prioritizing Samples in Reinforcement Learning with Reducible Loss
NeurIPS 2023
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
Most reinforcement learning algorithms take advantage of an experience replay buffer to repeatedly train on samples the agent has observed in the past. Not all samples carry the same amount of significance and simply assigning equal importance to each of the samples is a na\"ive strategy. In this paper, we propose a ...
[ { "created": "Mon, 22 Aug 2022 17:55:43 GMT", "version": "v1" }, { "created": "Tue, 31 Jan 2023 17:58:55 GMT", "version": "v2" }, { "created": "Wed, 1 Nov 2023 15:06:08 GMT", "version": "v3" } ]
2023-11-02
[ [ "Sujit", "Shivakanth", "" ], [ "Nath", "Somjit", "" ], [ "Braga", "Pedro H. M.", "" ], [ "Kahou", "Samira Ebrahimi", "" ] ]
Most reinforcement learning algorithms take advantage of an experience replay buffer to repeatedly train on samples the agent has observed in the past. Not all samples carry the same amount of significance and simply assigning equal importance to each of the samples is a na\"ive strategy. In this paper, we propose a me...
2105.12810
Md Hasib Zunair
Hasib Zunair, Aimon Rahman, and Nabeel Mohammed
ViPTT-Net: Video pretraining of spatio-temporal model for tuberculosis type classification from chest CT scans
Under review at CLEF 2021. 10 pages
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
Pretraining has sparked groundswell of interest in deep learning workflows to learn from limited data and improve generalization. While this is common for 2D image classification tasks, its application to 3D medical imaging tasks like chest CT interpretation is limited. We explore the idea of whether pretraining a mo...
[ { "created": "Wed, 26 May 2021 20:00:31 GMT", "version": "v1" } ]
2021-05-28
[ [ "Zunair", "Hasib", "" ], [ "Rahman", "Aimon", "" ], [ "Mohammed", "Nabeel", "" ] ]
Pretraining has sparked groundswell of interest in deep learning workflows to learn from limited data and improve generalization. While this is common for 2D image classification tasks, its application to 3D medical imaging tasks like chest CT interpretation is limited. We explore the idea of whether pretraining a mode...
2301.13082
Yingfang Yuan
Zuhao Yang, Huajun Bai, Zhang Luo, Yang Xu, Wei Pang, Yue Wang, Yisheng Yuan, Yingfang Yuan
PaCaNet: A Study on CycleGAN with Transfer Learning for Diversifying Fused Chinese Painting and Calligraphy
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
AI-Generated Content (AIGC) has recently gained a surge in popularity, powered by its high efficiency and consistency in production, and its capability of being customized and diversified. The cross-modality nature of the representation learning mechanism in most AIGC technology allows for more freedom and flexibilit...
[ { "created": "Mon, 30 Jan 2023 17:22:10 GMT", "version": "v1" }, { "created": "Tue, 31 Jan 2023 03:50:44 GMT", "version": "v2" }, { "created": "Wed, 1 Feb 2023 12:19:42 GMT", "version": "v3" }, { "created": "Thu, 4 May 2023 14:33:51 GMT", "version": "v4" }, { "cre...
2023-05-23
[ [ "Yang", "Zuhao", "" ], [ "Bai", "Huajun", "" ], [ "Luo", "Zhang", "" ], [ "Xu", "Yang", "" ], [ "Pang", "Wei", "" ], [ "Wang", "Yue", "" ], [ "Yuan", "Yisheng", "" ], [ "Yuan", "Yingfang", "...
AI-Generated Content (AIGC) has recently gained a surge in popularity, powered by its high efficiency and consistency in production, and its capability of being customized and diversified. The cross-modality nature of the representation learning mechanism in most AIGC technology allows for more freedom and flexibility ...
2009.11806
Adrian Jackson
Adrian Jackson, Mich\`ele Weiland, Nick Brown, Andrew Turner, Mark Parsons
Investigating Applications on the A64FX
null
null
null
null
cs.PF
http://creativecommons.org/licenses/by-nc-sa/4.0/
The A64FX processor from Fujitsu, being designed for computational simulation and machine learning applications, has the potential for unprecedented performance in HPC systems. In this paper, we evaluate the A64FX by benchmarking against a range of production HPC platforms that cover a number of processor technologie...
[ { "created": "Thu, 24 Sep 2020 16:49:24 GMT", "version": "v1" } ]
2020-09-25
[ [ "Jackson", "Adrian", "" ], [ "Weiland", "Michèle", "" ], [ "Brown", "Nick", "" ], [ "Turner", "Andrew", "" ], [ "Parsons", "Mark", "" ] ]
The A64FX processor from Fujitsu, being designed for computational simulation and machine learning applications, has the potential for unprecedented performance in HPC systems. In this paper, we evaluate the A64FX by benchmarking against a range of production HPC platforms that cover a number of processor technologies....
2310.16919
Fei Jianwei Dr
Jianwei Fei, Zhihua Xia, Benedetta Tondi, Mauro Barni
Wide Flat Minimum Watermarking for Robust Ownership Verification of GANs
null
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a novel multi-bit box-free watermarking method for the protection of Intellectual Property Rights (IPR) of GANs with improved robustness against white-box attacks like fine-tuning, pruning, quantization, and surrogate model attacks. The watermark is embedded by adding an extra watermarking loss term during...
[ { "created": "Wed, 25 Oct 2023 18:38:10 GMT", "version": "v1" } ]
2023-10-27
[ [ "Fei", "Jianwei", "" ], [ "Xia", "Zhihua", "" ], [ "Tondi", "Benedetta", "" ], [ "Barni", "Mauro", "" ] ]
We propose a novel multi-bit box-free watermarking method for the protection of Intellectual Property Rights (IPR) of GANs with improved robustness against white-box attacks like fine-tuning, pruning, quantization, and surrogate model attacks. The watermark is embedded by adding an extra watermarking loss term during G...
1901.02283
Thach V. Bui
Thach V. Bui, Minoru Kuribayashi, Mahdi Cheraghchi, Isao Echizen
Improved encoding and decoding for non-adaptive threshold group testing
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The goal of threshold group testing is to identify up to $d$ defective items among a population of $n$ items, where $d$ is usually much smaller than $n$. A test is positive if it has at least $u$ defective items and negative otherwise. Our objective is to identify defective items in sublinear time the number of items...
[ { "created": "Tue, 8 Jan 2019 12:34:31 GMT", "version": "v1" } ]
2019-01-09
[ [ "Bui", "Thach V.", "" ], [ "Kuribayashi", "Minoru", "" ], [ "Cheraghchi", "Mahdi", "" ], [ "Echizen", "Isao", "" ] ]
The goal of threshold group testing is to identify up to $d$ defective items among a population of $n$ items, where $d$ is usually much smaller than $n$. A test is positive if it has at least $u$ defective items and negative otherwise. Our objective is to identify defective items in sublinear time the number of items, ...
2103.09174
Meher Shashwat Nigam
Meher Shashwat Nigam, Avinash Prabhu, Anurag Sahu, Puru Gupta, Tanvi Karandikar, N. Sai Shankar, Ravi Kiran Sarvadevabhatla, K. Madhava Krishna
Monocular Multi-Layer Layout Estimation for Warehouse Racks
Visit our project repository at https://github.com/Avinash2468/RackLay
null
10.1145/3490035.3490263
null
cs.CV cs.RO
http://creativecommons.org/licenses/by/4.0/
Given a monocular colour image of a warehouse rack, we aim to predict the bird's-eye view layout for each shelf in the rack, which we term as multi-layer layout prediction. To this end, we present RackLay, a deep neural network for real-time shelf layout estimation from a single image. Unlike previous layout estimati...
[ { "created": "Tue, 16 Mar 2021 16:22:31 GMT", "version": "v1" }, { "created": "Wed, 17 Mar 2021 10:58:36 GMT", "version": "v2" }, { "created": "Thu, 28 Oct 2021 17:00:21 GMT", "version": "v3" } ]
2021-10-29
[ [ "Nigam", "Meher Shashwat", "" ], [ "Prabhu", "Avinash", "" ], [ "Sahu", "Anurag", "" ], [ "Gupta", "Puru", "" ], [ "Karandikar", "Tanvi", "" ], [ "Shankar", "N. Sai", "" ], [ "Sarvadevabhatla", "Ravi Kiran", ...
Given a monocular colour image of a warehouse rack, we aim to predict the bird's-eye view layout for each shelf in the rack, which we term as multi-layer layout prediction. To this end, we present RackLay, a deep neural network for real-time shelf layout estimation from a single image. Unlike previous layout estimation...
2402.04598
Sarah Sch\"ombs
Sarah Sch\"ombs, Jorge Goncalves, Wafa Johal
Exploring Data Agency and Autonomous Agents as Embodied Data Visualizations
2 pages, 1 figure, Presented as poster at 2023 IEEE Visualization Conference (VIS)
null
null
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the light of recent advances in embodied data visualizations, we aim to shed light on agency in the context of data visualization. To do so, we introduce Data Agency and Data-Agent Interplay as potential terms and research focus. Furthermore, we exemplify the former in the context of human-robot interaction, and i...
[ { "created": "Wed, 7 Feb 2024 05:45:34 GMT", "version": "v1" } ]
2024-02-08
[ [ "Schömbs", "Sarah", "" ], [ "Goncalves", "Jorge", "" ], [ "Johal", "Wafa", "" ] ]
In the light of recent advances in embodied data visualizations, we aim to shed light on agency in the context of data visualization. To do so, we introduce Data Agency and Data-Agent Interplay as potential terms and research focus. Furthermore, we exemplify the former in the context of human-robot interaction, and ide...
2103.11429
Md Abdullah Al Alamin
Md Abdullah Al Alamin, Sanjay Malakar, Gias Uddin, Sadia Afroz, Tameem Bin Haider, Anindya Iqbal
An Empirical Study of Developer Discussions on Low-Code Software Development Challenges
null
2021 IEEE/ACM 18th International Conference on Mining Software Repositories (MSR)
10.1109/MSR52588.2021.00018
null
cs.SE
http://creativecommons.org/licenses/by/4.0/
Low-code software development (LCSD) is an emerging paradigm that combines minimal source code with interactive graphical interfaces to promote rapid application development. LCSD aims to democratize application development to software practitioners with diverse backgrounds. Given that LCSD is relatively a new paradi...
[ { "created": "Sun, 21 Mar 2021 16:24:43 GMT", "version": "v1" } ]
2022-01-05
[ [ "Alamin", "Md Abdullah Al", "" ], [ "Malakar", "Sanjay", "" ], [ "Uddin", "Gias", "" ], [ "Afroz", "Sadia", "" ], [ "Haider", "Tameem Bin", "" ], [ "Iqbal", "Anindya", "" ] ]
Low-code software development (LCSD) is an emerging paradigm that combines minimal source code with interactive graphical interfaces to promote rapid application development. LCSD aims to democratize application development to software practitioners with diverse backgrounds. Given that LCSD is relatively a new paradigm...
2305.00195
Zachary Izzo
Zachary Izzo, Ruishan Liu, James Zou
Data-Driven Subgroup Identification for Linear Regression
Accepted at ICML 2023
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Medical studies frequently require to extract the relationship between each covariate and the outcome with statistical confidence measures. To do this, simple parametric models are frequently used (e.g. coefficients of linear regression) but usually fitted on the whole dataset. However, it is common that the covariat...
[ { "created": "Sat, 29 Apr 2023 08:32:09 GMT", "version": "v1" } ]
2023-05-02
[ [ "Izzo", "Zachary", "" ], [ "Liu", "Ruishan", "" ], [ "Zou", "James", "" ] ]
Medical studies frequently require to extract the relationship between each covariate and the outcome with statistical confidence measures. To do this, simple parametric models are frequently used (e.g. coefficients of linear regression) but usually fitted on the whole dataset. However, it is common that the covariates...
2010.03232
Mohamed-Lamine Messai
Mohamed-Lamine Messai and Hamida Seba
Short Paper: Privacy Comparison of Contact Tracing Mobile Applications for COVID-19
null
null
null
null
cs.CR
http://creativecommons.org/licenses/by/4.0/
With the COVID-19 pandemic, quarantines took place across the globe. In the aim of stopping or slowing the progression of the COVID-19 contamination, many countries have deployed a contact tracing system to notify persons that be in contact with a COVID-positive person. The contact tracing system is implemented in a ...
[ { "created": "Wed, 7 Oct 2020 07:27:39 GMT", "version": "v1" } ]
2020-10-09
[ [ "Messai", "Mohamed-Lamine", "" ], [ "Seba", "Hamida", "" ] ]
With the COVID-19 pandemic, quarantines took place across the globe. In the aim of stopping or slowing the progression of the COVID-19 contamination, many countries have deployed a contact tracing system to notify persons that be in contact with a COVID-positive person. The contact tracing system is implemented in a mo...
2310.10765
Yu Gu
Yu Gu, Jianwei Yang, Naoto Usuyama, Chunyuan Li, Sheng Zhang, Matthew P. Lungren, Jianfeng Gao, Hoifung Poon
BiomedJourney: Counterfactual Biomedical Image Generation by Instruction-Learning from Multimodal Patient Journeys
Project page & demo: https://aka.ms/biomedjourney
null
null
null
cs.CV cs.AI cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Rapid progress has been made in instruction-learning for image editing with natural-language instruction, as exemplified by InstructPix2Pix. In biomedicine, such methods can be applied to counterfactual image generation, which helps differentiate causal structure from spurious correlation and facilitate robust image ...
[ { "created": "Mon, 16 Oct 2023 18:59:31 GMT", "version": "v1" }, { "created": "Wed, 18 Oct 2023 23:26:21 GMT", "version": "v2" }, { "created": "Sat, 21 Oct 2023 02:59:47 GMT", "version": "v3" } ]
2023-10-24
[ [ "Gu", "Yu", "" ], [ "Yang", "Jianwei", "" ], [ "Usuyama", "Naoto", "" ], [ "Li", "Chunyuan", "" ], [ "Zhang", "Sheng", "" ], [ "Lungren", "Matthew P.", "" ], [ "Gao", "Jianfeng", "" ], [ "Poon", ...
Rapid progress has been made in instruction-learning for image editing with natural-language instruction, as exemplified by InstructPix2Pix. In biomedicine, such methods can be applied to counterfactual image generation, which helps differentiate causal structure from spurious correlation and facilitate robust image in...
2407.16129
Yusi Zhang
Weiying Xie and Yusi Zhang and Tianlin Hui and Jiaqing Zhang and Jie Lei and Yunsong Li
FoRA: Low-Rank Adaptation Model beyond Multimodal Siamese Network
null
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multimodal object detection offers a promising prospect to facilitate robust detection in various visual conditions. However, existing two-stream backbone networks are challenged by complex fusion and substantial parameter increments. This is primarily due to large data distribution biases of multimodal homogeneous i...
[ { "created": "Tue, 23 Jul 2024 02:27:52 GMT", "version": "v1" } ]
2024-07-24
[ [ "Xie", "Weiying", "" ], [ "Zhang", "Yusi", "" ], [ "Hui", "Tianlin", "" ], [ "Zhang", "Jiaqing", "" ], [ "Lei", "Jie", "" ], [ "Li", "Yunsong", "" ] ]
Multimodal object detection offers a promising prospect to facilitate robust detection in various visual conditions. However, existing two-stream backbone networks are challenged by complex fusion and substantial parameter increments. This is primarily due to large data distribution biases of multimodal homogeneous inf...
1910.07604
Jacob Pfau
Jacob Pfau, Albert T. Young, Maria L. Wei, Michael J. Keiser
Global Saliency: Aggregating Saliency Maps to Assess Dataset Artefact Bias
Machine Learning for Health (ML4H) at NeurIPS 2019 - Extended Abstract
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In high-stakes applications of machine learning models, interpretability methods provide guarantees that models are right for the right reasons. In medical imaging, saliency maps have become the standard tool for determining whether a neural model has learned relevant robust features, rather than artefactual noise. H...
[ { "created": "Wed, 16 Oct 2019 20:45:19 GMT", "version": "v1" }, { "created": "Wed, 4 Dec 2019 00:14:28 GMT", "version": "v2" } ]
2019-12-05
[ [ "Pfau", "Jacob", "" ], [ "Young", "Albert T.", "" ], [ "Wei", "Maria L.", "" ], [ "Keiser", "Michael J.", "" ] ]
In high-stakes applications of machine learning models, interpretability methods provide guarantees that models are right for the right reasons. In medical imaging, saliency maps have become the standard tool for determining whether a neural model has learned relevant robust features, rather than artefactual noise. How...
2405.00718
Jianyi Zhang
Xu Ji, Jianyi Zhang, Ziyin Zhou, Zhangchi Zhao, Qianqian Qiao, Kaiying Han, Md Imran Hossen and Xiali Hei
Can't say cant? Measuring and Reasoning of Dark Jargons in Large Language Models
null
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Ensuring the resilience of Large Language Models (LLMs) against malicious exploitation is paramount, with recent focus on mitigating offensive responses. Yet, the understanding of cant or dark jargon remains unexplored. This paper introduces a domain-specific Cant dataset and CantCounter evaluation framework, employi...
[ { "created": "Thu, 25 Apr 2024 17:25:53 GMT", "version": "v1" } ]
2024-05-03
[ [ "Ji", "Xu", "" ], [ "Zhang", "Jianyi", "" ], [ "Zhou", "Ziyin", "" ], [ "Zhao", "Zhangchi", "" ], [ "Qiao", "Qianqian", "" ], [ "Han", "Kaiying", "" ], [ "Hossen", "Md Imran", "" ], [ "Hei", "Xi...
Ensuring the resilience of Large Language Models (LLMs) against malicious exploitation is paramount, with recent focus on mitigating offensive responses. Yet, the understanding of cant or dark jargon remains unexplored. This paper introduces a domain-specific Cant dataset and CantCounter evaluation framework, employing...
2301.10123
Henry Moss
Henry B. Moss, Sebastian W. Ober and Victor Picheny
Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation
null
null
null
null
cs.LG stat.ML
http://creativecommons.org/licenses/by/4.0/
Sparse Gaussian Processes are a key component of high-throughput Bayesian Optimisation (BO) loops; however, we show that existing methods for allocating their inducing points severely hamper optimisation performance. By exploiting the quality-diversity decomposition of Determinantal Point Processes, we propose the fi...
[ { "created": "Tue, 24 Jan 2023 16:43:29 GMT", "version": "v1" }, { "created": "Thu, 23 Feb 2023 16:07:36 GMT", "version": "v2" } ]
2023-02-24
[ [ "Moss", "Henry B.", "" ], [ "Ober", "Sebastian W.", "" ], [ "Picheny", "Victor", "" ] ]
Sparse Gaussian Processes are a key component of high-throughput Bayesian Optimisation (BO) loops; however, we show that existing methods for allocating their inducing points severely hamper optimisation performance. By exploiting the quality-diversity decomposition of Determinantal Point Processes, we propose the firs...
2106.10686
Liulei Li
Tianfei Zhou, Liulei Li, Gustav Bredell, Jianwu Li, Ender Konukoglu
Quality-Aware Memory Network for Interactive Volumetric Image Segmentation
MICCAI 2021. Code: https://github.com/0liliulei/Mem3D
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Despite recent progress of automatic medical image segmentation techniques, fully automatic results usually fail to meet the clinical use and typically require further refinement. In this work, we propose a quality-aware memory network for interactive segmentation of 3D medical images. Provided by user guidance on an...
[ { "created": "Sun, 20 Jun 2021 12:34:19 GMT", "version": "v1" }, { "created": "Mon, 5 Jul 2021 07:52:19 GMT", "version": "v2" } ]
2021-07-06
[ [ "Zhou", "Tianfei", "" ], [ "Li", "Liulei", "" ], [ "Bredell", "Gustav", "" ], [ "Li", "Jianwu", "" ], [ "Konukoglu", "Ender", "" ] ]
Despite recent progress of automatic medical image segmentation techniques, fully automatic results usually fail to meet the clinical use and typically require further refinement. In this work, we propose a quality-aware memory network for interactive segmentation of 3D medical images. Provided by user guidance on an a...
2112.08723
Zekun Wang
Zekun Wang, Wenhui Wang, Haichao Zhu, Ming Liu, Bing Qin, Furu Wei
Distilled Dual-Encoder Model for Vision-Language Understanding
EMNLP 2022
null
null
null
cs.CL cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a cross-modal attention distillation framework to train a dual-encoder model for vision-language understanding tasks, such as visual reasoning and visual question answering. Dual-encoder models have a faster inference speed than fusion-encoder models and enable the pre-computation of images and text during...
[ { "created": "Thu, 16 Dec 2021 09:21:18 GMT", "version": "v1" }, { "created": "Mon, 17 Oct 2022 16:27:09 GMT", "version": "v2" } ]
2022-10-18
[ [ "Wang", "Zekun", "" ], [ "Wang", "Wenhui", "" ], [ "Zhu", "Haichao", "" ], [ "Liu", "Ming", "" ], [ "Qin", "Bing", "" ], [ "Wei", "Furu", "" ] ]
We propose a cross-modal attention distillation framework to train a dual-encoder model for vision-language understanding tasks, such as visual reasoning and visual question answering. Dual-encoder models have a faster inference speed than fusion-encoder models and enable the pre-computation of images and text during i...
2203.15381
Shi Pu
Shi Pu and Kaili Zhao and Mao Zheng
Alignment-Uniformity aware Representation Learning for Zero-shot Video Classification
CVPR 2022
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Most methods tackle zero-shot video classification by aligning visual-semantic representations within seen classes, which limits generalization to unseen classes. To enhance model generalizability, this paper presents an end-to-end framework that preserves alignment and uniformity properties for representations on bo...
[ { "created": "Tue, 29 Mar 2022 09:21:22 GMT", "version": "v1" } ]
2022-03-30
[ [ "Pu", "Shi", "" ], [ "Zhao", "Kaili", "" ], [ "Zheng", "Mao", "" ] ]
Most methods tackle zero-shot video classification by aligning visual-semantic representations within seen classes, which limits generalization to unseen classes. To enhance model generalizability, this paper presents an end-to-end framework that preserves alignment and uniformity properties for representations on both...
0907.3016
Arash Rafiey
Arash Rafiey and Pavol Hell
Duality for Min-Max Orderings and Dichotomy for Min Cost Homomorphisms
null
null
null
null
cs.DM cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Min-Max orderings correspond to conservative lattice polymorphisms. Digraphs with Min-Max orderings have polynomial time solvable minimum cost homomorphism problems. They can also be viewed as digraph analogues of proper interval graphs and bigraphs. We give a forbidden structure characterization of digraphs with a...
[ { "created": "Fri, 17 Jul 2009 08:14:15 GMT", "version": "v1" } ]
2009-07-20
[ [ "Rafiey", "Arash", "" ], [ "Hell", "Pavol", "" ] ]
Min-Max orderings correspond to conservative lattice polymorphisms. Digraphs with Min-Max orderings have polynomial time solvable minimum cost homomorphism problems. They can also be viewed as digraph analogues of proper interval graphs and bigraphs. We give a forbidden structure characterization of digraphs with a Min...
1805.02994
Christine Markarian Dr
Christine Markarian
Online Connected Dominating Set Leasing
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce the \emph{Online Connected Dominating Set Leasing} problem (OCDSL) in which we are given an undirected connected graph $G = (V, E)$, a set $\mathcal{L}$ of lease types each characterized by a duration and cost, and a sequence of subsets of $V$ arriving over time. A node can be leased using lease type $l$...
[ { "created": "Mon, 7 May 2018 10:48:30 GMT", "version": "v1" } ]
2018-05-09
[ [ "Markarian", "Christine", "" ] ]
We introduce the \emph{Online Connected Dominating Set Leasing} problem (OCDSL) in which we are given an undirected connected graph $G = (V, E)$, a set $\mathcal{L}$ of lease types each characterized by a duration and cost, and a sequence of subsets of $V$ arriving over time. A node can be leased using lease type $l$ f...
2309.13498
Saraju Mohanty
Ahmad J. Alkhodair and Saraju P. Mohanty and Elias Kougianos
Consensus Algorithms of Distributed Ledger Technology -- A Comprehensive Analysis
50 pages, 20 figures
null
null
null
cs.DC cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The most essential component of every Distributed Ledger Technology (DLT) is the Consensus Algorithm (CA), which enables users to reach a consensus in a decentralized and distributed manner. Numerous CA exist, but their viability for particular applications varies, making their trade-offs a crucial factor to consider...
[ { "created": "Sat, 23 Sep 2023 23:32:11 GMT", "version": "v1" } ]
2023-09-26
[ [ "Alkhodair", "Ahmad J.", "" ], [ "Mohanty", "Saraju P.", "" ], [ "Kougianos", "Elias", "" ] ]
The most essential component of every Distributed Ledger Technology (DLT) is the Consensus Algorithm (CA), which enables users to reach a consensus in a decentralized and distributed manner. Numerous CA exist, but their viability for particular applications varies, making their trade-offs a crucial factor to consider w...
1905.04409
Bao Trung Chu
Bao Trung Chu, Kenji Hashimoto, and Hiroyuki Seki
On the Compositionality of Dynamic Leakage and Its Application to the Quantification Problem
preprint
null
null
null
cs.CR cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Quantitative information flow (QIF) is traditionally defined as the expected value of information leakage over all feasible program runs and it fails to identify vulnerable programs where only limited number of runs leak large amount of information. As discussed in Bielova (2016), a good notion for dynamic leakage an...
[ { "created": "Sat, 11 May 2019 00:06:43 GMT", "version": "v1" } ]
2019-05-14
[ [ "Chu", "Bao Trung", "" ], [ "Hashimoto", "Kenji", "" ], [ "Seki", "Hiroyuki", "" ] ]
Quantitative information flow (QIF) is traditionally defined as the expected value of information leakage over all feasible program runs and it fails to identify vulnerable programs where only limited number of runs leak large amount of information. As discussed in Bielova (2016), a good notion for dynamic leakage and ...
2211.05700
Thiago Felicissimo
Thiago Felicissimo, Fr\'ed\'eric Blanqui and Ashish Kumar Barnawal
Translating proofs from an impredicative type system to a predicative one
This is the long version of a paper accepted for publication at CSL 2023
null
null
null
cs.LO
http://creativecommons.org/licenses/by-nc-sa/4.0/
As the development of formal proofs is a time-consuming task, it is important to devise ways of sharing the already written proofs to prevent wasting time redoing them. One of the challenges in this domain is to translate proofs written in proof assistants based on impredicative logics, such as Coq, Matita and the HO...
[ { "created": "Thu, 10 Nov 2022 17:09:14 GMT", "version": "v1" } ]
2022-11-11
[ [ "Felicissimo", "Thiago", "" ], [ "Blanqui", "Frédéric", "" ], [ "Barnawal", "Ashish Kumar", "" ] ]
As the development of formal proofs is a time-consuming task, it is important to devise ways of sharing the already written proofs to prevent wasting time redoing them. One of the challenges in this domain is to translate proofs written in proof assistants based on impredicative logics, such as Coq, Matita and the HOL ...
1505.04891
Fei Tian
Fei Tian, Bin Gao, Enhong Chen, Tie-Yan Liu
Learning Better Word Embedding by Asymmetric Low-Rank Projection of Knowledge Graph
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Word embedding, which refers to low-dimensional dense vector representations of natural words, has demonstrated its power in many natural language processing tasks. However, it may suffer from the inaccurate and incomplete information contained in the free text corpus as training data. To tackle this challenge, there...
[ { "created": "Tue, 19 May 2015 07:08:10 GMT", "version": "v1" }, { "created": "Sun, 14 Jun 2015 08:21:24 GMT", "version": "v2" } ]
2015-06-16
[ [ "Tian", "Fei", "" ], [ "Gao", "Bin", "" ], [ "Chen", "Enhong", "" ], [ "Liu", "Tie-Yan", "" ] ]
Word embedding, which refers to low-dimensional dense vector representations of natural words, has demonstrated its power in many natural language processing tasks. However, it may suffer from the inaccurate and incomplete information contained in the free text corpus as training data. To tackle this challenge, there h...
1011.6590
Axel Boldt
Axel Boldt
Extending ArXiv.org to Achieve Open Peer Review and Publishing
6 pages. To be published in the Journal of Scholarly Publishing
null
null
null
cs.OH
http://creativecommons.org/licenses/by/3.0/
Today's peer review process for scientific articles is unnecessarily opaque and offers few incentives to referees. Likewise, the publishing process is unnecessarily inefficient and its results are only rarely made freely available to the public. Here we outline a comparatively simple extension of arXiv.org, an online...
[ { "created": "Tue, 23 Nov 2010 14:23:07 GMT", "version": "v1" } ]
2010-12-01
[ [ "Boldt", "Axel", "" ] ]
Today's peer review process for scientific articles is unnecessarily opaque and offers few incentives to referees. Likewise, the publishing process is unnecessarily inefficient and its results are only rarely made freely available to the public. Here we outline a comparatively simple extension of arXiv.org, an online p...
2102.01687
Ignacio Laguna
Hal Finkel, Ignacio Laguna
Report of the Workshop on Program Synthesis for Scientific Computing
29 pages, workshop website: https://prog-synth-science.github.io/2020/
null
null
null
cs.LG cs.AI cs.PL cs.SE
http://creativecommons.org/licenses/by/4.0/
Program synthesis is an active research field in academia, national labs, and industry. Yet, work directly applicable to scientific computing, while having some impressive successes, has been limited. This report reviews the relevant areas of program synthesis work for scientific computing, discusses successes to dat...
[ { "created": "Tue, 2 Feb 2021 18:55:23 GMT", "version": "v1" } ]
2021-02-03
[ [ "Finkel", "Hal", "" ], [ "Laguna", "Ignacio", "" ] ]
Program synthesis is an active research field in academia, national labs, and industry. Yet, work directly applicable to scientific computing, while having some impressive successes, has been limited. This report reviews the relevant areas of program synthesis work for scientific computing, discusses successes to date,...
2406.05332
Junghwan Lee
Junghwan Lee, Chen Xu, and Yao Xie
Transformer Conformal Prediction for Time Series
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
We present a conformal prediction method for time series using the Transformer architecture to capture long-memory and long-range dependencies. Specifically, we use the Transformer decoder as a conditional quantile estimator to predict the quantiles of prediction residuals, which are used to estimate the prediction i...
[ { "created": "Sat, 8 Jun 2024 03:17:48 GMT", "version": "v1" } ]
2024-06-11
[ [ "Lee", "Junghwan", "" ], [ "Xu", "Chen", "" ], [ "Xie", "Yao", "" ] ]
We present a conformal prediction method for time series using the Transformer architecture to capture long-memory and long-range dependencies. Specifically, we use the Transformer decoder as a conditional quantile estimator to predict the quantiles of prediction residuals, which are used to estimate the prediction int...
2405.14815
Tahiya Chowdhury
Raymond Wang, Nicholas R. Record, D. Whitney King, Tahiya Chowdhury
Designing A Sustainable Marine Debris Clean-up Framework without Human Labels
9 pages, 6 figures, 2 tables, In Proceedings of the 7th ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies
null
10.1145/3674829.3675076
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Marine debris poses a significant ecological threat to birds, fish, and other animal life. Traditional methods for assessing debris accumulation involve labor-intensive and costly manual surveys. This study introduces a framework that utilizes aerial imagery captured by drones to conduct remote trash surveys. Leverag...
[ { "created": "Thu, 23 May 2024 17:28:23 GMT", "version": "v1" }, { "created": "Sat, 20 Jul 2024 19:06:27 GMT", "version": "v2" } ]
2024-07-23
[ [ "Wang", "Raymond", "" ], [ "Record", "Nicholas R.", "" ], [ "King", "D. Whitney", "" ], [ "Chowdhury", "Tahiya", "" ] ]
Marine debris poses a significant ecological threat to birds, fish, and other animal life. Traditional methods for assessing debris accumulation involve labor-intensive and costly manual surveys. This study introduces a framework that utilizes aerial imagery captured by drones to conduct remote trash surveys. Leveragin...
1609.04439
Corwin Sinnamon
Janusz Brzozowski and Corwin Sinnamon
Unrestricted State Complexity of Binary Operations on Regular and Ideal Languages
30 pages, 15 figures. This paper is a revised and expanded version of the DCFS 2016 conference paper, also posted previously as arXiv:1602.01387v3. The expanded version has appeared in J. Autom. Lang. Comb. 22 (1-3), 29-59, 2017, the issue of selected papers from DCFS 2016. This version corrects the proof of di...
null
null
null
cs.FL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the state complexity of binary operations on regular languages over different alphabets. It is known that if $L'_m$ and $L_n$ are languages of state complexities $m$ and $n$, respectively, and restricted to the same alphabet, the state complexity of any binary boolean operation on $L'_m$ and $L_n$ is $mn$, a...
[ { "created": "Wed, 14 Sep 2016 20:39:47 GMT", "version": "v1" }, { "created": "Sat, 1 Oct 2016 19:57:28 GMT", "version": "v2" }, { "created": "Thu, 21 Dec 2017 02:48:23 GMT", "version": "v3" } ]
2017-12-22
[ [ "Brzozowski", "Janusz", "" ], [ "Sinnamon", "Corwin", "" ] ]
We study the state complexity of binary operations on regular languages over different alphabets. It is known that if $L'_m$ and $L_n$ are languages of state complexities $m$ and $n$, respectively, and restricted to the same alphabet, the state complexity of any binary boolean operation on $L'_m$ and $L_n$ is $mn$, and...
2204.06359
EPTCS
Andrzej Indrzejczak, Micha{\l} Zawidzki
Proceedings of the 10th International Conference on Non-Classical Logics. Theory and Applications
null
EPTCS 358, 2022
10.4204/EPTCS.358
null
cs.LO
http://creativecommons.org/licenses/by/4.0/
Non-Classical Logics. Theory and Applications (NCL) is an international conference aimed at presenting novel results and survey works in widely understood non-classical logics and their applications. This year's edition was also an opportunity to celebrate the 50th anniversary of the logic journal Bulletin of the Sec...
[ { "created": "Wed, 13 Apr 2022 13:15:04 GMT", "version": "v1" } ]
2022-04-14
[ [ "Indrzejczak", "Andrzej", "" ], [ "Zawidzki", "Michał", "" ] ]
Non-Classical Logics. Theory and Applications (NCL) is an international conference aimed at presenting novel results and survey works in widely understood non-classical logics and their applications. This year's edition was also an opportunity to celebrate the 50th anniversary of the logic journal Bulletin of the Secti...
2203.03668
Felix Friedrich
Felix Friedrich, Wolfgang Stammer, Patrick Schramowski, Kristian Kersting
A Typology for Exploring the Mitigation of Shortcut Behavior
null
null
null
null
cs.LG cs.AI cs.HC
http://creativecommons.org/licenses/by/4.0/
As machine learning models become increasingly larger, trained weakly supervised on large, possibly uncurated data sets, it becomes increasingly important to establish mechanisms for inspecting, interacting, and revising models to mitigate learning shortcuts and guarantee their learned knowledge is aligned with human...
[ { "created": "Fri, 4 Mar 2022 14:16:50 GMT", "version": "v1" }, { "created": "Tue, 1 Nov 2022 14:41:43 GMT", "version": "v2" }, { "created": "Fri, 17 Feb 2023 12:04:12 GMT", "version": "v3" }, { "created": "Fri, 24 Feb 2023 11:46:01 GMT", "version": "v4" }, { "cre...
2024-03-15
[ [ "Friedrich", "Felix", "" ], [ "Stammer", "Wolfgang", "" ], [ "Schramowski", "Patrick", "" ], [ "Kersting", "Kristian", "" ] ]
As machine learning models become increasingly larger, trained weakly supervised on large, possibly uncurated data sets, it becomes increasingly important to establish mechanisms for inspecting, interacting, and revising models to mitigate learning shortcuts and guarantee their learned knowledge is aligned with human k...
2102.10566
Milliam Maxime Zekeng Ndadji
Milliam Maxime Zekeng Ndadji, Maurice Tchoup\'e Tchendji, Cl\'ementin Tayou Djamegni, Didier Parigot
A Projection-Stable Grammatical Model for the Distributed Execution of Administrative Processes with Emphasis on Actors' Views
null
null
null
null
cs.SE cs.DC cs.FL
http://creativecommons.org/licenses/by/4.0/
During the last two decades, the decentralized execution of business processes has been one of the main research topics in Business Process Management. Several models (languages) for processes' specification in order to facilitate their distributed execution, have been proposed. LSAWfP is among the most recent in thi...
[ { "created": "Sun, 21 Feb 2021 09:33:31 GMT", "version": "v1" }, { "created": "Sat, 27 Mar 2021 20:40:53 GMT", "version": "v2" } ]
2021-03-30
[ [ "Ndadji", "Milliam Maxime Zekeng", "" ], [ "Tchendji", "Maurice Tchoupé", "" ], [ "Djamegni", "Clémentin Tayou", "" ], [ "Parigot", "Didier", "" ] ]
During the last two decades, the decentralized execution of business processes has been one of the main research topics in Business Process Management. Several models (languages) for processes' specification in order to facilitate their distributed execution, have been proposed. LSAWfP is among the most recent in this ...
1312.0938
Siddhartha Banerjee
Siddhartha Banerjee, Avhishek Chatterjee, Sanjay Shakkottai
Epidemic Thresholds with External Agents
12 pages, 2 figures (to appear in INFOCOM 2014)
null
null
null
cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the effect of external infection sources on phase transitions in epidemic processes. In particular, we consider an epidemic spreading on a network via the SIS/SIR dynamics, which in addition is aided by external agents - sources unconstrained by the graph, but possessing a limited infection rate or virulence...
[ { "created": "Tue, 3 Dec 2013 04:01:51 GMT", "version": "v1" } ]
2013-12-05
[ [ "Banerjee", "Siddhartha", "" ], [ "Chatterjee", "Avhishek", "" ], [ "Shakkottai", "Sanjay", "" ] ]
We study the effect of external infection sources on phase transitions in epidemic processes. In particular, we consider an epidemic spreading on a network via the SIS/SIR dynamics, which in addition is aided by external agents - sources unconstrained by the graph, but possessing a limited infection rate or virulence. ...
2405.10167
Sayantan Sen
Arijit Bishnu, Arijit Ghosh, Gopinath Mishra, Sayantan Sen
Near Uniform Triangle Sampling Over Adjacency List Graph Streams
26 pages
null
null
null
cs.DS
http://creativecommons.org/licenses/by/4.0/
Triangle counting and sampling are two fundamental problems for streaming algorithms. Arguably, designing sampling algorithms is more challenging than their counting variants. It may be noted that triangle counting has received far greater attention in the literature than the sampling variant. In this work, we consid...
[ { "created": "Thu, 16 May 2024 15:03:40 GMT", "version": "v1" } ]
2024-05-17
[ [ "Bishnu", "Arijit", "" ], [ "Ghosh", "Arijit", "" ], [ "Mishra", "Gopinath", "" ], [ "Sen", "Sayantan", "" ] ]
Triangle counting and sampling are two fundamental problems for streaming algorithms. Arguably, designing sampling algorithms is more challenging than their counting variants. It may be noted that triangle counting has received far greater attention in the literature than the sampling variant. In this work, we consider...
1307.7838
Sang Yeob Jung
Sang Yeob Jung, Seung Min Yu, and Seong-Lyun Kim
Asymmetric-valued Spectrum Auction and Competition in Wireless Broadband Services
null
null
null
null
cs.NI cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study bidding and pricing competition between two spiteful mobile network operators (MNOs) with considering their existing spectrum holdings. Given asymmetric-valued spectrum blocks are auctioned off to them via a first-price sealed-bid auction, we investigate the interactions between two spiteful MNOs and users a...
[ { "created": "Tue, 30 Jul 2013 06:51:02 GMT", "version": "v1" }, { "created": "Sat, 25 Jan 2014 13:10:14 GMT", "version": "v2" } ]
2014-01-28
[ [ "Jung", "Sang Yeob", "" ], [ "Yu", "Seung Min", "" ], [ "Kim", "Seong-Lyun", "" ] ]
We study bidding and pricing competition between two spiteful mobile network operators (MNOs) with considering their existing spectrum holdings. Given asymmetric-valued spectrum blocks are auctioned off to them via a first-price sealed-bid auction, we investigate the interactions between two spiteful MNOs and users as ...
2204.04727
Tao Qi
Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang
FUM: Fine-grained and Fast User Modeling for News Recommendation
SIGIR 2022
null
null
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
User modeling is important for news recommendation. Existing methods usually first encode user's clicked news into news embeddings independently and then aggregate them into user embedding. However, the word-level interactions across different clicked news from the same user, which contain rich detailed clues to infe...
[ { "created": "Sun, 10 Apr 2022 17:05:56 GMT", "version": "v1" } ]
2022-04-12
[ [ "Qi", "Tao", "" ], [ "Wu", "Fangzhao", "" ], [ "Wu", "Chuhan", "" ], [ "Huang", "Yongfeng", "" ] ]
User modeling is important for news recommendation. Existing methods usually first encode user's clicked news into news embeddings independently and then aggregate them into user embedding. However, the word-level interactions across different clicked news from the same user, which contain rich detailed clues to infer ...
2405.14341
Heer Patel
Melissa Lin, Heer Patel, Medina Lamkin, Tukey Tu, Hannah Bako, Soham Raut, Leilani Battle
How do Observable Users Decompose D3 Code? An Exploratory Study
null
null
null
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Users often struggle to program visualizations using complex toolkits like D3. Before we can design effective code assistants to support them, we must first understand how D3 users reason about their code. In this work, we explore users' understanding of D3 using an important gauge of code comprehension in CS educati...
[ { "created": "Thu, 23 May 2024 09:11:47 GMT", "version": "v1" } ]
2024-05-24
[ [ "Lin", "Melissa", "" ], [ "Patel", "Heer", "" ], [ "Lamkin", "Medina", "" ], [ "Tu", "Tukey", "" ], [ "Bako", "Hannah", "" ], [ "Raut", "Soham", "" ], [ "Battle", "Leilani", "" ] ]
Users often struggle to program visualizations using complex toolkits like D3. Before we can design effective code assistants to support them, we must first understand how D3 users reason about their code. In this work, we explore users' understanding of D3 using an important gauge of code comprehension in CS education...
2010.08691
Elizabeth Munch
Kayla Makela and Tim Ophelders and Michelle Quigley and Elizabeth Munch and Daniel Chitwood and Asia Dowtin
Automatic Tree Ring Detection using Jacobi Sets
null
null
null
null
cs.CV cs.CG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Tree ring widths are an important source of climatic and historical data, but measuring these widths typically requires extensive manual work. Computer vision techniques provide promising directions towards the automation of tree ring detection, but most automated methods still require a substantial amount of user in...
[ { "created": "Sat, 17 Oct 2020 01:28:16 GMT", "version": "v1" } ]
2020-10-20
[ [ "Makela", "Kayla", "" ], [ "Ophelders", "Tim", "" ], [ "Quigley", "Michelle", "" ], [ "Munch", "Elizabeth", "" ], [ "Chitwood", "Daniel", "" ], [ "Dowtin", "Asia", "" ] ]
Tree ring widths are an important source of climatic and historical data, but measuring these widths typically requires extensive manual work. Computer vision techniques provide promising directions towards the automation of tree ring detection, but most automated methods still require a substantial amount of user inte...
2004.05834
Yabo Xiao
Yabo Xiao, Dongdong Yu, Xiaojuan Wang, Tianqi Lv, Yiqi Fan, Lingrui Wu
SPCNet:Spatial Preserve and Content-aware Network for Human Pose Estimation
8 pages,6 figures, accepted for presentation at the 24th European Conference on Artificial Intelligence (ECAI 2020)
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Human pose estimation is a fundamental yet challenging task in computer vision. Although deep learning techniques have made great progress in this area, difficult scenarios (e.g., invisible keypoints, occlusions, complex multi-person scenarios, and abnormal poses) are still not well-handled. To alleviate these issues...
[ { "created": "Mon, 13 Apr 2020 09:14:00 GMT", "version": "v1" } ]
2020-04-14
[ [ "Xiao", "Yabo", "" ], [ "Yu", "Dongdong", "" ], [ "Wang", "Xiaojuan", "" ], [ "Lv", "Tianqi", "" ], [ "Fan", "Yiqi", "" ], [ "Wu", "Lingrui", "" ] ]
Human pose estimation is a fundamental yet challenging task in computer vision. Although deep learning techniques have made great progress in this area, difficult scenarios (e.g., invisible keypoints, occlusions, complex multi-person scenarios, and abnormal poses) are still not well-handled. To alleviate these issues, ...
2403.01560
Kun-Yu Lin
Kun-Yu Lin, Henghui Ding, Jiaming Zhou, Yu-Ming Tang, Yi-Xing Peng, Zhilin Zhao, Chen Change Loy, Wei-Shi Zheng
Rethinking CLIP-based Video Learners in Cross-Domain Open-Vocabulary Action Recognition
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Building upon the impressive success of CLIP (Contrastive Language-Image Pretraining), recent pioneer works have proposed to adapt the powerful CLIP to video data, leading to efficient and effective video learners for open-vocabulary action recognition. Inspired by that humans perform actions in diverse environments,...
[ { "created": "Sun, 3 Mar 2024 16:48:16 GMT", "version": "v1" }, { "created": "Fri, 24 May 2024 14:47:03 GMT", "version": "v2" } ]
2024-05-27
[ [ "Lin", "Kun-Yu", "" ], [ "Ding", "Henghui", "" ], [ "Zhou", "Jiaming", "" ], [ "Tang", "Yu-Ming", "" ], [ "Peng", "Yi-Xing", "" ], [ "Zhao", "Zhilin", "" ], [ "Loy", "Chen Change", "" ], [ "Zheng", ...
Building upon the impressive success of CLIP (Contrastive Language-Image Pretraining), recent pioneer works have proposed to adapt the powerful CLIP to video data, leading to efficient and effective video learners for open-vocabulary action recognition. Inspired by that humans perform actions in diverse environments, o...
2304.03754
Hung-Ting Su
Hung-Ting Su, Yulei Niu, Xudong Lin, Winston H. Hsu, Shih-Fu Chang
Language Models are Causal Knowledge Extractors for Zero-shot Video Question Answering
CVPR 2023 Workshop L3D-IVU
null
null
null
cs.CL cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Causal Video Question Answering (CVidQA) queries not only association or temporal relations but also causal relations in a video. Existing question synthesis methods pre-trained question generation (QG) systems on reading comprehension datasets with text descriptions as inputs. However, QG models only learn to ask as...
[ { "created": "Fri, 7 Apr 2023 17:45:49 GMT", "version": "v1" } ]
2023-04-10
[ [ "Su", "Hung-Ting", "" ], [ "Niu", "Yulei", "" ], [ "Lin", "Xudong", "" ], [ "Hsu", "Winston H.", "" ], [ "Chang", "Shih-Fu", "" ] ]
Causal Video Question Answering (CVidQA) queries not only association or temporal relations but also causal relations in a video. Existing question synthesis methods pre-trained question generation (QG) systems on reading comprehension datasets with text descriptions as inputs. However, QG models only learn to ask asso...
2403.20234
Francesco Linsalata
Antonio Coviello, Francesco Linsalata, Umberto Spagnolini, Maurizio Magarini
Artificial Neural Networks-based Real-time Classification of ENG Signals for Implanted Nerve Interfaces
null
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
Neuropathies are gaining higher relevance in clinical settings, as they risk permanently jeopardizing a person's life. To support the recovery of patients, the use of fully implanted devices is emerging as one of the most promising solutions. However, these devices, even if becoming an integral part of a fully comple...
[ { "created": "Fri, 29 Mar 2024 15:23:30 GMT", "version": "v1" }, { "created": "Tue, 2 Apr 2024 09:26:43 GMT", "version": "v2" } ]
2024-04-03
[ [ "Coviello", "Antonio", "" ], [ "Linsalata", "Francesco", "" ], [ "Spagnolini", "Umberto", "" ], [ "Magarini", "Maurizio", "" ] ]
Neuropathies are gaining higher relevance in clinical settings, as they risk permanently jeopardizing a person's life. To support the recovery of patients, the use of fully implanted devices is emerging as one of the most promising solutions. However, these devices, even if becoming an integral part of a fully complex ...
1508.00914
Jerry Pinheiro
Roberto Assis Machado, Jerry Anderson Pinheiro and Marcelo Firer
Characterization of metrics induced by hierarchical posets
Submitted to IEEE Transactions on Information Theory
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we consider metrics determined by hierarchical posets and give explicit formulae for the main parameters of a linear code: the minimum distance and the packing, covering and Chebyshev radii of a code. We also present ten characterizations of hierarchical poset metrics, including new characterizations an...
[ { "created": "Tue, 4 Aug 2015 20:28:04 GMT", "version": "v1" }, { "created": "Fri, 18 Mar 2016 16:59:45 GMT", "version": "v2" }, { "created": "Fri, 24 Mar 2017 03:01:36 GMT", "version": "v3" } ]
2017-03-27
[ [ "Machado", "Roberto Assis", "" ], [ "Pinheiro", "Jerry Anderson", "" ], [ "Firer", "Marcelo", "" ] ]
In this paper we consider metrics determined by hierarchical posets and give explicit formulae for the main parameters of a linear code: the minimum distance and the packing, covering and Chebyshev radii of a code. We also present ten characterizations of hierarchical poset metrics, including new characterizations and ...
2208.06676
Anna Gilbert
Yulan Zhang, Anna C. Gilbert, Stefan Steinerberger
May the force be with you
23 pages, 17 figures
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Modern methods in dimensionality reduction are dominated by nonlinear attraction-repulsion force-based methods (this includes t-SNE, UMAP, ForceAtlas2, LargeVis, and many more). The purpose of this paper is to demonstrate that all such methods, by design, come with an additional feature that is being automatically co...
[ { "created": "Sat, 13 Aug 2022 15:52:58 GMT", "version": "v1" } ]
2022-08-16
[ [ "Zhang", "Yulan", "" ], [ "Gilbert", "Anna C.", "" ], [ "Steinerberger", "Stefan", "" ] ]
Modern methods in dimensionality reduction are dominated by nonlinear attraction-repulsion force-based methods (this includes t-SNE, UMAP, ForceAtlas2, LargeVis, and many more). The purpose of this paper is to demonstrate that all such methods, by design, come with an additional feature that is being automatically comp...
1910.11133
Prem Seetharaman
Prem Seetharaman, Gordon Wichern, Jonathan Le Roux, Bryan Pardo
Bootstrapping deep music separation from primitive auditory grouping principles
null
null
null
null
cs.SD cs.LG eess.AS stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Separating an audio scene such as a cocktail party into constituent, meaningful components is a core task in computer audition. Deep networks are the state-of-the-art approach. They are trained on synthetic mixtures of audio made from isolated sound source recordings so that ground truth for the separation is known. ...
[ { "created": "Wed, 23 Oct 2019 17:44:13 GMT", "version": "v1" } ]
2019-10-25
[ [ "Seetharaman", "Prem", "" ], [ "Wichern", "Gordon", "" ], [ "Roux", "Jonathan Le", "" ], [ "Pardo", "Bryan", "" ] ]
Separating an audio scene such as a cocktail party into constituent, meaningful components is a core task in computer audition. Deep networks are the state-of-the-art approach. They are trained on synthetic mixtures of audio made from isolated sound source recordings so that ground truth for the separation is known. Ho...
2302.08680
Truong Son Hy
Nhat Khang Ngo, Truong Son Hy, Risi Kondor
Modeling Polypharmacy and Predicting Drug-Drug Interactions using Deep Generative Models on Multimodal Graphs
arXiv admin note: substantial text overlap with arXiv:2209.09941
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Latent representations of drugs and their targets produced by contemporary graph autoencoder models have proved useful in predicting many types of node-pair interactions on large networks, including drug-drug, drug-target, and target-target interactions. However, most existing approaches model either the node's laten...
[ { "created": "Fri, 17 Feb 2023 04:06:46 GMT", "version": "v1" } ]
2023-02-20
[ [ "Ngo", "Nhat Khang", "" ], [ "Hy", "Truong Son", "" ], [ "Kondor", "Risi", "" ] ]
Latent representations of drugs and their targets produced by contemporary graph autoencoder models have proved useful in predicting many types of node-pair interactions on large networks, including drug-drug, drug-target, and target-target interactions. However, most existing approaches model either the node's latent ...
0802.2476
Georg B\"ocherer
Georg B\"ocherer and Daniel Bielefeld
Theoretical Analysis of the Energy Capture in Strictly Bandlimited Ultra-Wideband Channels
5 pages. Changes from 2nd version: minor corrections. Essentially the paper to be presented at ISWCS 2008 in Reykjavik
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The frequency selectivity of wireless communication channels can be characterized by the delay spread Ds of the channel impulse response. If the delay spread is small compared to the bandwidth W of the input signal, that is, Ds*W approximately equal to 1, the channel appears to be flat fading. For Ds*W >> 1, the chan...
[ { "created": "Mon, 18 Feb 2008 13:34:44 GMT", "version": "v1" }, { "created": "Wed, 28 May 2008 09:59:39 GMT", "version": "v2" }, { "created": "Thu, 7 Aug 2008 14:03:44 GMT", "version": "v3" } ]
2008-08-07
[ [ "Böcherer", "Georg", "" ], [ "Bielefeld", "Daniel", "" ] ]
The frequency selectivity of wireless communication channels can be characterized by the delay spread Ds of the channel impulse response. If the delay spread is small compared to the bandwidth W of the input signal, that is, Ds*W approximately equal to 1, the channel appears to be flat fading. For Ds*W >> 1, the channe...
2003.00365
Semih Cayci
Semih Cayci, Atilla Eryilmaz, R. Srikant
Budget-Constrained Bandits over General Cost and Reward Distributions
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider a budget-constrained bandit problem where each arm pull incurs a random cost, and yields a random reward in return. The objective is to maximize the total expected reward under a budget constraint on the total cost. The model is general in the sense that it allows correlated and potentially heavy-tailed c...
[ { "created": "Sat, 29 Feb 2020 23:50:08 GMT", "version": "v1" } ]
2020-03-03
[ [ "Cayci", "Semih", "" ], [ "Eryilmaz", "Atilla", "" ], [ "Srikant", "R.", "" ] ]
We consider a budget-constrained bandit problem where each arm pull incurs a random cost, and yields a random reward in return. The objective is to maximize the total expected reward under a budget constraint on the total cost. The model is general in the sense that it allows correlated and potentially heavy-tailed cos...
2312.01238
Sandra E. Safo
Sarthak Jain and Sandra E. Safo
A deep learning pipeline for cross-sectional and longitudinal multiview data integration
null
null
null
null
cs.LG stat.AP stat.CO stat.ME stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Biomedical research now commonly integrates diverse data types or views from the same individuals to better understand the pathobiology of complex diseases, but the challenge lies in meaningfully integrating these diverse views. Existing methods often require the same type of data from all views (cross-sectional data...
[ { "created": "Sat, 2 Dec 2023 22:24:35 GMT", "version": "v1" } ]
2023-12-05
[ [ "Jain", "Sarthak", "" ], [ "Safo", "Sandra E.", "" ] ]
Biomedical research now commonly integrates diverse data types or views from the same individuals to better understand the pathobiology of complex diseases, but the challenge lies in meaningfully integrating these diverse views. Existing methods often require the same type of data from all views (cross-sectional data o...
1511.02326
Zhenyu Xiao
Zhenyu Xiao
Suboptimal Spatial Diversity Scheme for 60 GHz Millimeter-Wave WLAN
4 pages
IEEE Communications Letters, vol. 17, no. 9, pp. 1790-1793, Sep. 2013
10.1109/LCOMM.2013.071813.131181
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This letter revisits the equal-gain (EG) spatial diversity technique, which was proposed to combat the human-induced shadowing for 60 GHz wireless local area network, under a more practical frequency-selective multi-input multi-output channel. Subsequently, a suboptimal spatial diversity scheme called maximal selecti...
[ { "created": "Sat, 7 Nov 2015 09:03:51 GMT", "version": "v1" } ]
2016-11-15
[ [ "Xiao", "Zhenyu", "" ] ]
This letter revisits the equal-gain (EG) spatial diversity technique, which was proposed to combat the human-induced shadowing for 60 GHz wireless local area network, under a more practical frequency-selective multi-input multi-output channel. Subsequently, a suboptimal spatial diversity scheme called maximal selection...
2301.06060
Tomer Raviv
Tomer Raviv, Alon Goldman, Ofek Vayner, Yair Be'ery, Nir Shlezinger
CRC-Aided Learned Ensembles of Belief-Propagation Polar Decoders
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Polar codes have promising error-correction capabilities. Yet, decoding polar codes is often challenging, particularly with large blocks, with recently proposed decoders based on list-decoding or neural-decoding. The former applies multiple decoders or the same decoder multiple times with some redundancy, while the l...
[ { "created": "Sun, 15 Jan 2023 10:00:43 GMT", "version": "v1" }, { "created": "Sat, 11 Feb 2023 18:57:55 GMT", "version": "v2" } ]
2023-02-14
[ [ "Raviv", "Tomer", "" ], [ "Goldman", "Alon", "" ], [ "Vayner", "Ofek", "" ], [ "Be'ery", "Yair", "" ], [ "Shlezinger", "Nir", "" ] ]
Polar codes have promising error-correction capabilities. Yet, decoding polar codes is often challenging, particularly with large blocks, with recently proposed decoders based on list-decoding or neural-decoding. The former applies multiple decoders or the same decoder multiple times with some redundancy, while the lat...
1507.01719
Boris Bukh
Boris Bukh, Venkatesan Guruswami, Johan H{\aa}stad
An improved bound on the fraction of correctable deletions
19 pages, this version presents a code with better rate, improves exposition, and adds a new author
null
null
null
cs.IT cs.DM math.CO math.IT
http://creativecommons.org/licenses/by-nc-sa/4.0/
We consider codes over fixed alphabets against worst-case symbol deletions. For any fixed $k \ge 2$, we construct a family of codes over alphabet of size $k$ with positive rate, which allow efficient recovery from a worst-case deletion fraction approaching $1-\frac{2}{k+\sqrt k}$. In particular, for binary codes, we ...
[ { "created": "Tue, 7 Jul 2015 09:20:06 GMT", "version": "v1" }, { "created": "Tue, 1 Mar 2016 18:45:23 GMT", "version": "v2" } ]
2016-03-02
[ [ "Bukh", "Boris", "" ], [ "Guruswami", "Venkatesan", "" ], [ "Håstad", "Johan", "" ] ]
We consider codes over fixed alphabets against worst-case symbol deletions. For any fixed $k \ge 2$, we construct a family of codes over alphabet of size $k$ with positive rate, which allow efficient recovery from a worst-case deletion fraction approaching $1-\frac{2}{k+\sqrt k}$. In particular, for binary codes, we ar...
2310.13747
Amr Keleg
Amr Keleg, Sharon Goldwater, Walid Magdy
ALDi: Quantifying the Arabic Level of Dialectness of Text
Accepted to EMNLP 2023
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Transcribed speech and user-generated text in Arabic typically contain a mixture of Modern Standard Arabic (MSA), the standardized language taught in schools, and Dialectal Arabic (DA), used in daily communications. To handle this variation, previous work in Arabic NLP has focused on Dialect Identification (DI) on th...
[ { "created": "Fri, 20 Oct 2023 18:07:39 GMT", "version": "v1" } ]
2023-10-24
[ [ "Keleg", "Amr", "" ], [ "Goldwater", "Sharon", "" ], [ "Magdy", "Walid", "" ] ]
Transcribed speech and user-generated text in Arabic typically contain a mixture of Modern Standard Arabic (MSA), the standardized language taught in schools, and Dialectal Arabic (DA), used in daily communications. To handle this variation, previous work in Arabic NLP has focused on Dialect Identification (DI) on the ...
2308.10193
Shamik Sarkar
Shamik Sarkar, Dongning Guo, Danijela Cabric
ProSpire: Proactive Spatial Prediction of Radio Environment Using Deep Learning
9 pages
null
null
null
cs.NI cs.LG eess.SP
http://creativecommons.org/licenses/by/4.0/
Spatial prediction of the radio propagation environment of a transmitter can assist and improve various aspects of wireless networks. The majority of research in this domain can be categorized as 'reactive' spatial prediction, where the predictions are made based on a small set of measurements from an active transmit...
[ { "created": "Sun, 20 Aug 2023 07:48:34 GMT", "version": "v1" } ]
2023-08-22
[ [ "Sarkar", "Shamik", "" ], [ "Guo", "Dongning", "" ], [ "Cabric", "Danijela", "" ] ]
Spatial prediction of the radio propagation environment of a transmitter can assist and improve various aspects of wireless networks. The majority of research in this domain can be categorized as 'reactive' spatial prediction, where the predictions are made based on a small set of measurements from an active transmitte...
2210.12758
Banghuai Li
Zixuan Xu, Banghuai Li, Ye Yuan, Anhong Dang
Beta R-CNN: Looking into Pedestrian Detection from Another Perspective
NeurIPS 2020
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently significant progress has been made in pedestrian detection, but it remains challenging to achieve high performance in occluded and crowded scenes. It could be attributed mostly to the widely used representation of pedestrians, i.e., 2D axis-aligned bounding box, which just describes the approximate location ...
[ { "created": "Sun, 23 Oct 2022 15:56:54 GMT", "version": "v1" } ]
2022-10-25
[ [ "Xu", "Zixuan", "" ], [ "Li", "Banghuai", "" ], [ "Yuan", "Ye", "" ], [ "Dang", "Anhong", "" ] ]
Recently significant progress has been made in pedestrian detection, but it remains challenging to achieve high performance in occluded and crowded scenes. It could be attributed mostly to the widely used representation of pedestrians, i.e., 2D axis-aligned bounding box, which just describes the approximate location an...
1208.0615
Dimitris Fotakis
Foto N. Afrati, Dimitris Fotakis, Jeffrey D. Ullman
Enumerating Subgraph Instances Using Map-Reduce
37 pages
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The theme of this paper is how to find all instances of a given "sample" graph in a larger "data graph," using a single round of map-reduce. For the simplest sample graph, the triangle, we improve upon the best known such algorithm. We then examine the general case, considering both the communication cost between map...
[ { "created": "Thu, 2 Aug 2012 20:56:39 GMT", "version": "v1" }, { "created": "Wed, 21 Nov 2012 20:03:05 GMT", "version": "v2" } ]
2012-11-22
[ [ "Afrati", "Foto N.", "" ], [ "Fotakis", "Dimitris", "" ], [ "Ullman", "Jeffrey D.", "" ] ]
The theme of this paper is how to find all instances of a given "sample" graph in a larger "data graph," using a single round of map-reduce. For the simplest sample graph, the triangle, we improve upon the best known such algorithm. We then examine the general case, considering both the communication cost between mappe...
1403.6487
Christopher Brown
Christopher W. Brown
Model-based construction of Open Non-uniform Cylindrical Algebraic Decompositions
null
null
null
null
cs.SC
http://creativecommons.org/licenses/publicdomain/
In this paper we introduce the notion of an Open Non-uniform Cylindrical Algebraic Decomposition (NuCAD), and present an efficient model-based algorithm for constructing an Open NuCAD from an input formula. A NuCAD is a generalization of Cylindrical Algebraic Decomposition (CAD) as defined by Collins in his seminal w...
[ { "created": "Mon, 24 Mar 2014 02:10:31 GMT", "version": "v1" } ]
2014-03-27
[ [ "Brown", "Christopher W.", "" ] ]
In this paper we introduce the notion of an Open Non-uniform Cylindrical Algebraic Decomposition (NuCAD), and present an efficient model-based algorithm for constructing an Open NuCAD from an input formula. A NuCAD is a generalization of Cylindrical Algebraic Decomposition (CAD) as defined by Collins in his seminal wor...
2403.01489
Meiling Li
Meiling Li, Zhenxing Qian, Xinpeng Zhang
Regeneration Based Training-free Attribution of Fake Images Generated by Text-to-Image Generative Models
null
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Text-to-image generative models have recently garnered significant attention due to their ability to generate images based on prompt descriptions. While these models have shown promising performance, concerns have been raised regarding the potential misuse of the generated fake images. In response to this, we have pr...
[ { "created": "Sun, 3 Mar 2024 11:55:49 GMT", "version": "v1" } ]
2024-03-05
[ [ "Li", "Meiling", "" ], [ "Qian", "Zhenxing", "" ], [ "Zhang", "Xinpeng", "" ] ]
Text-to-image generative models have recently garnered significant attention due to their ability to generate images based on prompt descriptions. While these models have shown promising performance, concerns have been raised regarding the potential misuse of the generated fake images. In response to this, we have pres...
2003.08437
Siyao Peng
Siyao Peng, Yang Liu, Yilun Zhu, Austin Blodgett, Yushi Zhao, Nathan Schneider
A Corpus of Adpositional Supersenses for Mandarin Chinese
LREC 2020 camera-ready
null
null
null
cs.DL cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Adpositions are frequent markers of semantic relations, but they are highly ambiguous and vary significantly from language to language. Moreover, there is a dearth of annotated corpora for investigating the cross-linguistic variation of adposition semantics, or for building multilingual disambiguation systems. This p...
[ { "created": "Wed, 18 Mar 2020 18:59:55 GMT", "version": "v1" } ]
2020-03-20
[ [ "Peng", "Siyao", "" ], [ "Liu", "Yang", "" ], [ "Zhu", "Yilun", "" ], [ "Blodgett", "Austin", "" ], [ "Zhao", "Yushi", "" ], [ "Schneider", "Nathan", "" ] ]
Adpositions are frequent markers of semantic relations, but they are highly ambiguous and vary significantly from language to language. Moreover, there is a dearth of annotated corpora for investigating the cross-linguistic variation of adposition semantics, or for building multilingual disambiguation systems. This pap...
1810.05937
Ellis Solaiman
Awatif Alqahtani and Yinhao Li and Pankesh Patel and Ellis Solaiman and Rajiv Ranjan
End-to-End Service Level Agreement Specification for IoT Applications
null
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Internet of Things (IoT) promises to help solve a wide range of issues that relate to our wellbeing within application domains that include smart cities, healthcare monitoring, and environmental monitoring. IoT is bringing new wireless sensor use cases by taking advantage of the computing power and flexibility pr...
[ { "created": "Sat, 13 Oct 2018 22:49:40 GMT", "version": "v1" } ]
2018-10-16
[ [ "Alqahtani", "Awatif", "" ], [ "Li", "Yinhao", "" ], [ "Patel", "Pankesh", "" ], [ "Solaiman", "Ellis", "" ], [ "Ranjan", "Rajiv", "" ] ]
The Internet of Things (IoT) promises to help solve a wide range of issues that relate to our wellbeing within application domains that include smart cities, healthcare monitoring, and environmental monitoring. IoT is bringing new wireless sensor use cases by taking advantage of the computing power and flexibility prov...
2301.04582
Demin Yu
Demin Yu, Min Liu and Zhongjie Wang
A Personalized Utterance Style (PUS) based Dialogue Strategy for Efficient Service Requirement Elicitation
null
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by-nc-sa/4.0/
With the flourish of services on the Internet, a prerequisite for service providers to precisely deliver services to their customers is to capture user requirements comprehensively, accurately, and efficiently. This is called the ``Service Requirement Elicitation (SRE)'' task. Considering the amount of customers is h...
[ { "created": "Sat, 7 Jan 2023 04:10:33 GMT", "version": "v1" } ]
2023-01-12
[ [ "Yu", "Demin", "" ], [ "Liu", "Min", "" ], [ "Wang", "Zhongjie", "" ] ]
With the flourish of services on the Internet, a prerequisite for service providers to precisely deliver services to their customers is to capture user requirements comprehensively, accurately, and efficiently. This is called the ``Service Requirement Elicitation (SRE)'' task. Considering the amount of customers is hug...
1701.07579
Vitaly Skachek
Eldho K. Thomas and Vitaly Skachek
Explicit Constructions and Bounds for Batch Codes with Restricted Size of Reconstruction Sets
To appear in 5ICMCTA
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Linear batch codes and codes for private information retrieval (PIR) with a query size $t$ and a restricted size $r$ of the reconstruction sets are studied. New bounds on the parameters of such codes are derived for small values of $t$ or of $r$ by providing corresponding constructions. By building on the ideas of Ca...
[ { "created": "Thu, 26 Jan 2017 05:16:28 GMT", "version": "v1" }, { "created": "Tue, 4 Jul 2017 14:07:13 GMT", "version": "v2" } ]
2017-07-05
[ [ "Thomas", "Eldho K.", "" ], [ "Skachek", "Vitaly", "" ] ]
Linear batch codes and codes for private information retrieval (PIR) with a query size $t$ and a restricted size $r$ of the reconstruction sets are studied. New bounds on the parameters of such codes are derived for small values of $t$ or of $r$ by providing corresponding constructions. By building on the ideas of Cada...
0902.0920
Yassine Ariba
Yassine Ariba (LAAS), Yann Labit (LAAS), Fr\'ed\'eric Gouaisbaut (LAAS)
Design and performance evaluation of a state-space based AQM
null
International Conference on Communication Theory, Reliability, and Quality of Service, Bucharest : Roumanie (2008)
10.1109/CTRQ.2008.15
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent research has shown the link between congestion control in communication networks and feedback control system. In this paper, the design of an active queue management (AQM) which can be viewed as a controller, is considered. Based on a state space representation of a linearized fluid flow model of TCP, the AQM ...
[ { "created": "Thu, 5 Feb 2009 15:24:36 GMT", "version": "v1" } ]
2009-02-06
[ [ "Ariba", "Yassine", "", "LAAS" ], [ "Labit", "Yann", "", "LAAS" ], [ "Gouaisbaut", "Frédéric", "", "LAAS" ] ]
Recent research has shown the link between congestion control in communication networks and feedback control system. In this paper, the design of an active queue management (AQM) which can be viewed as a controller, is considered. Based on a state space representation of a linearized fluid flow model of TCP, the AQM de...
1608.00218
Ilija Ilievski
Ilija Ilievski and Jiashi Feng
Hyperparameter Transfer Learning through Surrogate Alignment for Efficient Deep Neural Network Training
null
null
null
null
cs.LG cs.CV cs.NE stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently, several optimization methods have been successfully applied to the hyperparameter optimization of deep neural networks (DNNs). The methods work by modeling the joint distribution of hyperparameter values and corresponding error. Those methods become less practical when applied to modern DNNs whose training ...
[ { "created": "Sun, 31 Jul 2016 14:09:17 GMT", "version": "v1" } ]
2016-08-02
[ [ "Ilievski", "Ilija", "" ], [ "Feng", "Jiashi", "" ] ]
Recently, several optimization methods have been successfully applied to the hyperparameter optimization of deep neural networks (DNNs). The methods work by modeling the joint distribution of hyperparameter values and corresponding error. Those methods become less practical when applied to modern DNNs whose training ma...
1912.01227
Tomohiro Tachi
Seri Nishimoto, Takashi Horiyama and Tomohiro Tachi
Geodesic Folding of Tetrahedron
null
Journal of the International Society for the Interdisciplinary Study of Symmetry, Symmetry: Art and Science, 2019, Special Issue: 11th Congress and Exhibition of SIS, Kanazawa, Japan, November 25-30, 2019
null
null
cs.CG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work, we show the geometric properties of a family of polyhedra obtained by folding a regular tetrahedron along regular triangular grids. Each polyhedron is identified by a pair of nonnegative integers. The polyhedron can be cut along a geodesic strip of triangles to be decomposed and unfolded into one or mul...
[ { "created": "Tue, 3 Dec 2019 07:39:11 GMT", "version": "v1" } ]
2019-12-04
[ [ "Nishimoto", "Seri", "" ], [ "Horiyama", "Takashi", "" ], [ "Tachi", "Tomohiro", "" ] ]
In this work, we show the geometric properties of a family of polyhedra obtained by folding a regular tetrahedron along regular triangular grids. Each polyhedron is identified by a pair of nonnegative integers. The polyhedron can be cut along a geodesic strip of triangles to be decomposed and unfolded into one or multi...
2212.08349
Junzhuo Li
Junzhuo Li, Xinwei Wu, Weilong Dong, Shuangzhi Wu, Chao Bian and Deyi Xiong
Swing Distillation: A Privacy-Preserving Knowledge Distillation Framework
null
null
null
null
cs.LG cs.AI cs.CL cs.CR
http://creativecommons.org/licenses/by/4.0/
Knowledge distillation (KD) has been widely used for model compression and knowledge transfer. Typically, a big teacher model trained on sufficient data transfers knowledge to a small student model. However, despite the success of KD, little effort has been made to study whether KD leaks the training data of the teac...
[ { "created": "Fri, 16 Dec 2022 08:57:18 GMT", "version": "v1" } ]
2022-12-20
[ [ "Li", "Junzhuo", "" ], [ "Wu", "Xinwei", "" ], [ "Dong", "Weilong", "" ], [ "Wu", "Shuangzhi", "" ], [ "Bian", "Chao", "" ], [ "Xiong", "Deyi", "" ] ]
Knowledge distillation (KD) has been widely used for model compression and knowledge transfer. Typically, a big teacher model trained on sufficient data transfers knowledge to a small student model. However, despite the success of KD, little effort has been made to study whether KD leaks the training data of the teache...
2210.08303
Jinpeng Hu
Jinpeng Hu, Zhihong Chen, Yang Liu, Xiang Wan, Tsung-Hui Chang
Improving Radiology Summarization with Radiograph and Anatomy Prompts
11 pages, ACL2023 Findings
null
null
null
cs.CV cs.AI cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The impression is crucial for the referring physicians to grasp key information since it is concluded from the findings and reasoning of radiologists. To alleviate the workload of radiologists and reduce repetitive human labor in impression writing, many researchers have focused on automatic impression generation. Ho...
[ { "created": "Sat, 15 Oct 2022 14:05:03 GMT", "version": "v1" }, { "created": "Wed, 27 Dec 2023 05:52:24 GMT", "version": "v2" } ]
2023-12-29
[ [ "Hu", "Jinpeng", "" ], [ "Chen", "Zhihong", "" ], [ "Liu", "Yang", "" ], [ "Wan", "Xiang", "" ], [ "Chang", "Tsung-Hui", "" ] ]
The impression is crucial for the referring physicians to grasp key information since it is concluded from the findings and reasoning of radiologists. To alleviate the workload of radiologists and reduce repetitive human labor in impression writing, many researchers have focused on automatic impression generation. Howe...
2403.07465
Marco Chilese
Marco Chilese, Richard Mitev, Meni Orenbach, Robert Thorburn, Ahmad Atamli, Ahmad-Reza Sadeghi
One for All and All for One: GNN-based Control-Flow Attestation for Embedded Devices
null
null
null
null
cs.CR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Control-Flow Attestation (CFA) is a security service that allows an entity (verifier) to verify the integrity of code execution on a remote computer system (prover). Existing CFA schemes suffer from impractical assumptions, such as requiring access to the prover's internal state (e.g., memory or code), the complete C...
[ { "created": "Tue, 12 Mar 2024 10:00:06 GMT", "version": "v1" } ]
2024-03-13
[ [ "Chilese", "Marco", "" ], [ "Mitev", "Richard", "" ], [ "Orenbach", "Meni", "" ], [ "Thorburn", "Robert", "" ], [ "Atamli", "Ahmad", "" ], [ "Sadeghi", "Ahmad-Reza", "" ] ]
Control-Flow Attestation (CFA) is a security service that allows an entity (verifier) to verify the integrity of code execution on a remote computer system (prover). Existing CFA schemes suffer from impractical assumptions, such as requiring access to the prover's internal state (e.g., memory or code), the complete Con...
1509.07659
Laura Rebollo-Neira
Laura Rebollo-Neira and Gagan Aggarwal
A dedicated greedy pursuit algorithm for sparse spectral representation of music sound
Routines for implementing the approach are available on http://www.nonlinear-approx.info/examples/node02.html
Journal of the Acoustical Society of America, Vol.140, No.4, 2933-2943 (2016)
10.1121/1.4964342
null
cs.SD cs.MS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A dedicated algorithm for sparse spectral representation of music sound is presented. The goal is to enable the representation of a piece of music signal, as a linear superposition of as few spectral components as possible. A representation of this nature is said to be sparse. In the present context sparsity is accom...
[ { "created": "Fri, 25 Sep 2015 10:03:17 GMT", "version": "v1" }, { "created": "Mon, 7 Nov 2016 13:48:34 GMT", "version": "v2" } ]
2016-11-08
[ [ "Rebollo-Neira", "Laura", "" ], [ "Aggarwal", "Gagan", "" ] ]
A dedicated algorithm for sparse spectral representation of music sound is presented. The goal is to enable the representation of a piece of music signal, as a linear superposition of as few spectral components as possible. A representation of this nature is said to be sparse. In the present context sparsity is accompl...
1411.7798
Ran He
Ran He and Man Zhang and Liang Wang and Ye Ji and Qiyue Yin
Cross-Modal Learning via Pairwise Constraints
12 pages, 5 figures, 70 references
null
10.1109/TIP.2015.2466106
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In multimedia applications, the text and image components in a web document form a pairwise constraint that potentially indicates the same semantic concept. This paper studies cross-modal learning via the pairwise constraint, and aims to find the common structure hidden in different modalities. We first propose a com...
[ { "created": "Fri, 28 Nov 2014 10:11:03 GMT", "version": "v1" } ]
2023-07-19
[ [ "He", "Ran", "" ], [ "Zhang", "Man", "" ], [ "Wang", "Liang", "" ], [ "Ji", "Ye", "" ], [ "Yin", "Qiyue", "" ] ]
In multimedia applications, the text and image components in a web document form a pairwise constraint that potentially indicates the same semantic concept. This paper studies cross-modal learning via the pairwise constraint, and aims to find the common structure hidden in different modalities. We first propose a compo...
1412.2341
Virendra Sule
Madhav Desai and Virendra Sule
Generalized cofactors and decomposition of Boolean satisfiability problems
13 pages
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose an approach for decomposing Boolean satisfiability problems while extending recent results of \cite{sul2} on solving Boolean systems of equations. Developments in \cite{sul2} were aimed at the expansion of functions $f$ in orthonormal (ON) sets of base functions as a generalization of the Boole-Shannon exp...
[ { "created": "Sun, 7 Dec 2014 10:53:38 GMT", "version": "v1" } ]
2014-12-09
[ [ "Desai", "Madhav", "" ], [ "Sule", "Virendra", "" ] ]
We propose an approach for decomposing Boolean satisfiability problems while extending recent results of \cite{sul2} on solving Boolean systems of equations. Developments in \cite{sul2} were aimed at the expansion of functions $f$ in orthonormal (ON) sets of base functions as a generalization of the Boole-Shannon expan...
1102.2479
Andreas Baldi
Rachit Mohan Garg, Yamini Sood, Balaji Kottana, Pallavi Totlani
A Framework Based Approach for the Development of Web Based Applications
4 pages
World of Computer Science and Information Technology Journal (WCSIT),ISSN: 2221-0741,Vol. 1, No. 1, 1-4, Feb. 2011
null
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The sole goal of E-Governance is to allow interaction of government with their citizens in a comfortable & transparent manner. Uniqueness of J2EE makes it a perfect technology for development of any online portal. These involve constancy, easy to replant, construct speedily etc. In this paper we present a procedural ...
[ { "created": "Sat, 12 Feb 2011 04:22:58 GMT", "version": "v1" } ]
2011-02-15
[ [ "Garg", "Rachit Mohan", "" ], [ "Sood", "Yamini", "" ], [ "Kottana", "Balaji", "" ], [ "Totlani", "Pallavi", "" ] ]
The sole goal of E-Governance is to allow interaction of government with their citizens in a comfortable & transparent manner. Uniqueness of J2EE makes it a perfect technology for development of any online portal. These involve constancy, easy to replant, construct speedily etc. In this paper we present a procedural ap...
0705.4654
Donald Sofge
Peter F. Lichtenwalner and Donald A. Sofge
Local Area Damage Detection in Composite Structures Using Piezoelectric Transducers
7 pages
P.F. Lichtenwalner and D. Sofge, "Local Area Damage Detection in Composite Structures Using Piezoelectric Transducers," In Proc. SPIE Sym. on Smart Structures and Materials, Vol. 3326, SPIE, pp. 509-515, 1998
10.1117/12.310667
null
cs.SD cs.CV
null
An integrated and automated smart structures approach for structural health monitoring is presented, utilizing an array of piezoelectric transducers attached to or embedded within the structure for both actuation and sensing. The system actively interrogates the structure via broadband excitation of multiple actuator...
[ { "created": "Thu, 31 May 2007 17:19:17 GMT", "version": "v1" } ]
2015-05-13
[ [ "Lichtenwalner", "Peter F.", "" ], [ "Sofge", "Donald A.", "" ] ]
An integrated and automated smart structures approach for structural health monitoring is presented, utilizing an array of piezoelectric transducers attached to or embedded within the structure for both actuation and sensing. The system actively interrogates the structure via broadband excitation of multiple actuators ...
1902.00812
Bj{\o}rn Kjos-Hanssen
Achilles A. Beros and Bj{\o}rn Kjos-Hanssen and Daylan Kaui Yogi
Planar digraphs for automatic complexity
Theory and Applications of Models of Computation (TAMC 2019), Lecture Notes in Computer Science 11436 (2019)
null
null
null
cs.FL math.CO math.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We show that the digraph of a nondeterministic finite automaton witnessing the automatic complexity of a word can always be taken to be planar. In the case of total transition functions studied by Shallit and Wang, planarity can fail. Let $s_q(n)$ be the number of binary words $x$ of length $n$ having nondeterminis...
[ { "created": "Sat, 2 Feb 2019 23:25:32 GMT", "version": "v1" } ]
2019-02-05
[ [ "Beros", "Achilles A.", "" ], [ "Kjos-Hanssen", "Bjørn", "" ], [ "Yogi", "Daylan Kaui", "" ] ]
We show that the digraph of a nondeterministic finite automaton witnessing the automatic complexity of a word can always be taken to be planar. In the case of total transition functions studied by Shallit and Wang, planarity can fail. Let $s_q(n)$ be the number of binary words $x$ of length $n$ having nondeterministic ...
2304.09649
Sondre Wold
Lucas Georges Gabriel Charpentier, Sondre Wold, David Samuel and Egil R{\o}nningstad
BRENT: Bidirectional Retrieval Enhanced Norwegian Transformer
Accepted for NoDaLiDa 2023, main conference
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Retrieval-based language models are increasingly employed in question-answering tasks. These models search in a corpus of documents for relevant information instead of having all factual knowledge stored in its parameters, thereby enhancing efficiency, transparency, and adaptability. We develop the first Norwegian re...
[ { "created": "Wed, 19 Apr 2023 13:40:47 GMT", "version": "v1" } ]
2023-04-20
[ [ "Charpentier", "Lucas Georges Gabriel", "" ], [ "Wold", "Sondre", "" ], [ "Samuel", "David", "" ], [ "Rønningstad", "Egil", "" ] ]
Retrieval-based language models are increasingly employed in question-answering tasks. These models search in a corpus of documents for relevant information instead of having all factual knowledge stored in its parameters, thereby enhancing efficiency, transparency, and adaptability. We develop the first Norwegian retr...
1408.2997
M. C Hanumantharaju Raju
Sreenivasa Setty, N. K Srinath, and M. C Hanumantharaju
An Improved Approach for Contrast Enhancement of Spinal Cord Images based on Multiscale Retinex Algorithm
13 pages, 6 figures, International Journal of Imaging and Robotics. arXiv admin note: text overlap with arXiv:1406.5710
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a new approach for contrast enhancement of spinal cord medical images based on multirate scheme incorporated into multiscale retinex algorithm. The proposed work here uses HSV color space, since HSV color space separates color details from intensity. The enhancement of medical image is achieved by...
[ { "created": "Wed, 13 Aug 2014 12:50:54 GMT", "version": "v1" } ]
2014-08-14
[ [ "Setty", "Sreenivasa", "" ], [ "Srinath", "N. K", "" ], [ "Hanumantharaju", "M. C", "" ] ]
This paper presents a new approach for contrast enhancement of spinal cord medical images based on multirate scheme incorporated into multiscale retinex algorithm. The proposed work here uses HSV color space, since HSV color space separates color details from intensity. The enhancement of medical image is achieved by d...