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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2107.09698 | Rahul Krishna | Anup Kalia, Jin Xiao, Rahul Krishna, Saurabh Sinha, Maja Vukovic,
Debasish Banerjee | Mono2Micro: A Practical and Effective Tool for Decomposing Monolithic
Java Applications to Microservices | null | null | 10.1145/3468264.3473915 | null | cs.SE | http://creativecommons.org/publicdomain/zero/1.0/ | In migrating production workloads to cloud, enterprises often face the
daunting task of evolving monolithic applications toward a microservice
architecture. At IBM, we developed a tool called Mono2Micro to assist with this
challenging task. Mono2Micro performs spatio-temporal decomposition, leveraging
well-defined bu... | [
{
"created": "Tue, 20 Jul 2021 18:05:14 GMT",
"version": "v1"
},
{
"created": "Tue, 14 Sep 2021 18:37:21 GMT",
"version": "v2"
}
] | 2021-09-16 | [
[
"Kalia",
"Anup",
""
],
[
"Xiao",
"Jin",
""
],
[
"Krishna",
"Rahul",
""
],
[
"Sinha",
"Saurabh",
""
],
[
"Vukovic",
"Maja",
""
],
[
"Banerjee",
"Debasish",
""
]
] | In migrating production workloads to cloud, enterprises often face the daunting task of evolving monolithic applications toward a microservice architecture. At IBM, we developed a tool called Mono2Micro to assist with this challenging task. Mono2Micro performs spatio-temporal decomposition, leveraging well-defined busi... |
2110.06407 | Mohammed Al Mahfoudh | Mohammed S. Al-Mahfoudh and Ryan Stutsman and Ganesh Gopalakrishnan | Efficient Linearizability Checking for Actor-based Systems | This article was submitted around Feb 2021 to the journal of
"Software Practice and Experience" and not yet finished the review process.
So they allow us to submit it to one more personal archival service e.g. this
one. That is, this is unpublished work yet. The updated version is accepted
in Software Practice ... | null | null | null | cs.DC cs.MA cs.SE | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Recent demand for distributed software had led to a surge in popularity in
actor-based frameworks. However, even with the stylized message passing model
of actors, writing correct distributed software is still difficult. We present
our work on linearizability checking in DS2, an integrated framework for
specifying, s... | [
{
"created": "Wed, 13 Oct 2021 00:09:48 GMT",
"version": "v1"
},
{
"created": "Wed, 19 Jul 2023 17:15:45 GMT",
"version": "v2"
}
] | 2023-07-20 | [
[
"Al-Mahfoudh",
"Mohammed S.",
""
],
[
"Stutsman",
"Ryan",
""
],
[
"Gopalakrishnan",
"Ganesh",
""
]
] | Recent demand for distributed software had led to a surge in popularity in actor-based frameworks. However, even with the stylized message passing model of actors, writing correct distributed software is still difficult. We present our work on linearizability checking in DS2, an integrated framework for specifying, syn... |
2311.11815 | Chong Li | Chong Li, Zhun Fan, Ying Chen, Huibiao Lin, Laura Moretti, Giuseppe
Loprencipe, Weihua Sheng, Kelvin C. P. Wang | CrackCLF: Automatic Pavement Crack Detection based on Closed-Loop
Feedback | null | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2023 | 10.1109/TITS.2023.3332995 | null | cs.CV eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Automatic pavement crack detection is an important task to ensure the
functional performances of pavements during their service life. Inspired by
deep learning (DL), the encoder-decoder framework is a powerful tool for crack
detection. However, these models are usually open-loop (OL) systems that tend
to treat thin c... | [
{
"created": "Mon, 20 Nov 2023 14:52:48 GMT",
"version": "v1"
}
] | 2023-11-21 | [
[
"Li",
"Chong",
""
],
[
"Fan",
"Zhun",
""
],
[
"Chen",
"Ying",
""
],
[
"Lin",
"Huibiao",
""
],
[
"Moretti",
"Laura",
""
],
[
"Loprencipe",
"Giuseppe",
""
],
[
"Sheng",
"Weihua",
""
],
[
"Wang",
"... | Automatic pavement crack detection is an important task to ensure the functional performances of pavements during their service life. Inspired by deep learning (DL), the encoder-decoder framework is a powerful tool for crack detection. However, these models are usually open-loop (OL) systems that tend to treat thin cra... |
2203.00971 | Ke Zhang | Fan Jin, Ke Zhang, Yipan Huang, Yifei Zhu, Baiping Chen | Parallel Spatio-Temporal Attention-Based TCN for Multivariate Time
Series Prediction | null | null | 10.1007/S00521-021-05958-Z | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | As industrial systems become more complex and monitoring sensors for
everything from surveillance to our health become more ubiquitous, multivariate
time series prediction is taking an important place in the smooth-running of
our society. A recurrent neural network with attention to help extend the
prediction windows... | [
{
"created": "Wed, 2 Mar 2022 09:27:56 GMT",
"version": "v1"
}
] | 2022-03-03 | [
[
"Jin",
"Fan",
""
],
[
"Zhang",
"Ke",
""
],
[
"Huang",
"Yipan",
""
],
[
"Zhu",
"Yifei",
""
],
[
"Chen",
"Baiping",
""
]
] | As industrial systems become more complex and monitoring sensors for everything from surveillance to our health become more ubiquitous, multivariate time series prediction is taking an important place in the smooth-running of our society. A recurrent neural network with attention to help extend the prediction windows i... |
1804.00126 | Bo Xiong | Bo Xiong and Kristen Grauman | Snap Angle Prediction for 360$^{\circ}$ Panoramas | ECCV 2018 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | 360$^{\circ}$ panoramas are a rich medium, yet notoriously difficult to
visualize in the 2D image plane. We explore how intelligent rotations of a
spherical image may enable content-aware projection with fewer perceptible
distortions. Whereas existing approaches assume the viewpoint is fixed,
intuitively some viewing... | [
{
"created": "Sat, 31 Mar 2018 06:09:30 GMT",
"version": "v1"
},
{
"created": "Sun, 12 Aug 2018 01:00:39 GMT",
"version": "v2"
}
] | 2018-08-14 | [
[
"Xiong",
"Bo",
""
],
[
"Grauman",
"Kristen",
""
]
] | 360$^{\circ}$ panoramas are a rich medium, yet notoriously difficult to visualize in the 2D image plane. We explore how intelligent rotations of a spherical image may enable content-aware projection with fewer perceptible distortions. Whereas existing approaches assume the viewpoint is fixed, intuitively some viewing a... |
2107.03216 | Shunning He | Haiwei Pan, Shuning He, Kejia Zhang, Bo Qu, Chunling Chen, and Kun Shi | MuVAM: A Multi-View Attention-based Model for Medical Visual Question
Answering | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Medical Visual Question Answering (VQA) is a multi-modal challenging task
widely considered by research communities of the computer vision and natural
language processing. Since most current medical VQA models focus on visual
content, ignoring the importance of text, this paper proposes a multi-view
attention-based m... | [
{
"created": "Wed, 7 Jul 2021 13:40:25 GMT",
"version": "v1"
}
] | 2021-07-08 | [
[
"Pan",
"Haiwei",
""
],
[
"He",
"Shuning",
""
],
[
"Zhang",
"Kejia",
""
],
[
"Qu",
"Bo",
""
],
[
"Chen",
"Chunling",
""
],
[
"Shi",
"Kun",
""
]
] | Medical Visual Question Answering (VQA) is a multi-modal challenging task widely considered by research communities of the computer vision and natural language processing. Since most current medical VQA models focus on visual content, ignoring the importance of text, this paper proposes a multi-view attention-based mod... |
1807.02903 | Nikola Ljube\v{s}i\'c | Nikola Ljube\v{s}i\'c, Darja Fi\v{s}er, Anita Peti-Stanti\'c | Predicting Concreteness and Imageability of Words Within and Across
Languages via Word Embeddings | null | null | 10.18653/v1/W18-3028 | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The notions of concreteness and imageability, traditionally important in
psycholinguistics, are gaining significance in semantic-oriented natural
language processing tasks. In this paper we investigate the predictability of
these two concepts via supervised learning, using word embeddings as
explanatory variables. We... | [
{
"created": "Mon, 9 Jul 2018 00:44:47 GMT",
"version": "v1"
}
] | 2022-09-15 | [
[
"Ljubešić",
"Nikola",
""
],
[
"Fišer",
"Darja",
""
],
[
"Peti-Stantić",
"Anita",
""
]
] | The notions of concreteness and imageability, traditionally important in psycholinguistics, are gaining significance in semantic-oriented natural language processing tasks. In this paper we investigate the predictability of these two concepts via supervised learning, using word embeddings as explanatory variables. We p... |
2405.02631 | Tom F. Hansen | T. F. Hansen, A. Aarset | Unsupervised machine learning for data-driven classification of rock
mass using drilling data: How can a data-driven system handle limitations in
existing rock mass classification systems? | 38 pages, 11 figures. Includes ancillary interactive versions of some
figures | null | null | null | cs.LG cs.ET cs.SY eess.SY | http://creativecommons.org/licenses/by/4.0/ | Rock mass classification systems are crucial for assessing stability and risk
in underground construction globally and guiding support and excavation design.
However, systems developed primarily in the 1970s lack access to modern
high-resolution data and advanced statistical techniques, limiting their
effectiveness a... | [
{
"created": "Sat, 4 May 2024 10:54:07 GMT",
"version": "v1"
}
] | 2024-05-07 | [
[
"Hansen",
"T. F.",
""
],
[
"Aarset",
"A.",
""
]
] | Rock mass classification systems are crucial for assessing stability and risk in underground construction globally and guiding support and excavation design. However, systems developed primarily in the 1970s lack access to modern high-resolution data and advanced statistical techniques, limiting their effectiveness as ... |
2312.06522 | Shijing Si | Yijie Gao, Shijing Si, Hua Luo, Haixia Sun, Yugui Zhang | Revisiting the Role of Label Smoothing in Enhanced Text Sentiment
Classification | Technical Report | null | null | null | cs.CL cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Label smoothing is a widely used technique in various domains, such as text
classification, image classification and speech recognition, known for
effectively combating model overfitting. However, there is little fine-grained
analysis on how label smoothing enhances text sentiment classification. To fill
in the gap, ... | [
{
"created": "Mon, 11 Dec 2023 17:00:35 GMT",
"version": "v1"
},
{
"created": "Fri, 23 Feb 2024 02:36:50 GMT",
"version": "v2"
}
] | 2024-02-26 | [
[
"Gao",
"Yijie",
""
],
[
"Si",
"Shijing",
""
],
[
"Luo",
"Hua",
""
],
[
"Sun",
"Haixia",
""
],
[
"Zhang",
"Yugui",
""
]
] | Label smoothing is a widely used technique in various domains, such as text classification, image classification and speech recognition, known for effectively combating model overfitting. However, there is little fine-grained analysis on how label smoothing enhances text sentiment classification. To fill in the gap, th... |
1509.03810 | Faouzi Bellili | Faouzi Bellili, Achref Methenni, Souheib Ben Amor, Sofi\`ene Affes,
and Alex St\'ephenne | Time Synchronization of Turbo-Coded Square-QAM-Modulated Transmissions:
Code-Aided ML Estimator and Closed-Form Cram\'er-Rao Lower Bounds | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper introduces a new maximum likelihood (ML) solution for the
code-aided (CA) timing recovery problem in square-QAM transmissions and
derives, for the very first time, its CA Cram\'er-Rao lower bounds (CRLBs) in
closed-form expressions. By exploiting the full symmetry of square-QAM
constellations and further s... | [
{
"created": "Sun, 13 Sep 2015 05:18:08 GMT",
"version": "v1"
}
] | 2015-09-15 | [
[
"Bellili",
"Faouzi",
""
],
[
"Methenni",
"Achref",
""
],
[
"Amor",
"Souheib Ben",
""
],
[
"Affes",
"Sofiène",
""
],
[
"Stéphenne",
"Alex",
""
]
] | This paper introduces a new maximum likelihood (ML) solution for the code-aided (CA) timing recovery problem in square-QAM transmissions and derives, for the very first time, its CA Cram\'er-Rao lower bounds (CRLBs) in closed-form expressions. By exploiting the full symmetry of square-QAM constellations and further scr... |
1812.02393 | Yingbin Zheng | Xingjiao Wu and Yingbin Zheng and Hao Ye and Wenxin Hu and Jing Yang
and Liang He | Adaptive Scenario Discovery for Crowd Counting | null | IEEE ICASSP 2019 | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Crowd counting, i.e., estimation number of the pedestrian in crowd images, is
emerging as an important research problem with the public security
applications. A key component for the crowd counting systems is the
construction of counting models which are robust to various scenarios under
facts such as camera perspect... | [
{
"created": "Thu, 6 Dec 2018 07:51:06 GMT",
"version": "v1"
},
{
"created": "Sat, 9 Feb 2019 12:01:16 GMT",
"version": "v2"
}
] | 2019-02-13 | [
[
"Wu",
"Xingjiao",
""
],
[
"Zheng",
"Yingbin",
""
],
[
"Ye",
"Hao",
""
],
[
"Hu",
"Wenxin",
""
],
[
"Yang",
"Jing",
""
],
[
"He",
"Liang",
""
]
] | Crowd counting, i.e., estimation number of the pedestrian in crowd images, is emerging as an important research problem with the public security applications. A key component for the crowd counting systems is the construction of counting models which are robust to various scenarios under facts such as camera perspectiv... |
2102.01639 | Xiao Lu | Xiao Lu, Dusit Niyato, Hai Jiang, Ekram Hossain and Ping Wang | Ambient Backscatter-Assisted Wireless-Powered Relaying | 32 Pages, 11 Figs | null | null | null | cs.IT cs.NI math.IT | http://creativecommons.org/publicdomain/zero/1.0/ | Internet-of-Things (IoT) is featured with low-power communications among a
massive number of ubiquitously-deployed and energy-constrained electronics,
e.g., sensors and actuators. To cope with the demand, wireless-powered
cooperative relaying emerges as a promising communication paradigm to extend
data transmission c... | [
{
"created": "Tue, 2 Feb 2021 17:48:09 GMT",
"version": "v1"
}
] | 2021-02-03 | [
[
"Lu",
"Xiao",
""
],
[
"Niyato",
"Dusit",
""
],
[
"Jiang",
"Hai",
""
],
[
"Hossain",
"Ekram",
""
],
[
"Wang",
"Ping",
""
]
] | Internet-of-Things (IoT) is featured with low-power communications among a massive number of ubiquitously-deployed and energy-constrained electronics, e.g., sensors and actuators. To cope with the demand, wireless-powered cooperative relaying emerges as a promising communication paradigm to extend data transmission cov... |
1610.00366 | Ruben Martinez-Cantin | Ruben Martinez-Cantin | Funneled Bayesian Optimization for Design, Tuning and Control of
Autonomous Systems | null | null | null | null | cs.AI cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Bayesian optimization has become a fundamental global optimization algorithm
in many problems where sample efficiency is of paramount importance. Recently,
there has been proposed a large number of new applications in fields such as
robotics, machine learning, experimental design, simulation, etc. In this
paper, we f... | [
{
"created": "Sun, 2 Oct 2016 23:13:45 GMT",
"version": "v1"
},
{
"created": "Tue, 5 Feb 2019 15:48:07 GMT",
"version": "v2"
}
] | 2019-02-06 | [
[
"Martinez-Cantin",
"Ruben",
""
]
] | Bayesian optimization has become a fundamental global optimization algorithm in many problems where sample efficiency is of paramount importance. Recently, there has been proposed a large number of new applications in fields such as robotics, machine learning, experimental design, simulation, etc. In this paper, we foc... |
2206.05139 | Dominik Klein | Dominik K. Klein, Rogelio Ortigosa, Jes\'us Mart\'inez-Frutos and
Oliver Weeger | Finite electro-elasticity with physics-augmented neural networks | null | null | 10.1016/j.cma.2022.115501 | null | cs.CE | http://creativecommons.org/licenses/by-nc-nd/4.0/ | In the present work, a machine learning based constitutive model for
electro-mechanically coupled material behavior at finite deformations is
proposed. Using different sets of invariants as inputs, an internal energy
density is formulated as a convex neural network. In this way, the model
fulfills the polyconvexity c... | [
{
"created": "Fri, 10 Jun 2022 14:25:04 GMT",
"version": "v1"
},
{
"created": "Sat, 27 Aug 2022 13:23:39 GMT",
"version": "v2"
}
] | 2022-08-30 | [
[
"Klein",
"Dominik K.",
""
],
[
"Ortigosa",
"Rogelio",
""
],
[
"Martínez-Frutos",
"Jesús",
""
],
[
"Weeger",
"Oliver",
""
]
] | In the present work, a machine learning based constitutive model for electro-mechanically coupled material behavior at finite deformations is proposed. Using different sets of invariants as inputs, an internal energy density is formulated as a convex neural network. In this way, the model fulfills the polyconvexity con... |
2101.05467 | Qizhou Wang | Qizhou Wang, Bo Han, Tongliang Liu, Gang Niu, Jian Yang, Chen Gong | Tackling Instance-Dependent Label Noise via a Universal Probabilistic
Model | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The drastic increase of data quantity often brings the severe decrease of
data quality, such as incorrect label annotations, which poses a great
challenge for robustly training Deep Neural Networks (DNNs). Existing learning
\mbox{methods} with label noise either employ ad-hoc heuristics or restrict to
specific noise ... | [
{
"created": "Thu, 14 Jan 2021 05:43:51 GMT",
"version": "v1"
},
{
"created": "Wed, 16 Mar 2022 06:14:28 GMT",
"version": "v2"
},
{
"created": "Thu, 17 Mar 2022 13:26:02 GMT",
"version": "v3"
}
] | 2022-03-18 | [
[
"Wang",
"Qizhou",
""
],
[
"Han",
"Bo",
""
],
[
"Liu",
"Tongliang",
""
],
[
"Niu",
"Gang",
""
],
[
"Yang",
"Jian",
""
],
[
"Gong",
"Chen",
""
]
] | The drastic increase of data quantity often brings the severe decrease of data quality, such as incorrect label annotations, which poses a great challenge for robustly training Deep Neural Networks (DNNs). Existing learning \mbox{methods} with label noise either employ ad-hoc heuristics or restrict to specific noise as... |
2301.05849 | Zhi Yuan Wu | Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Xuefeng Jiang, Runhan Li,
Bo Gao | Knowledge Distillation in Federated Edge Learning: A Survey | 13 pages, 1 figure, 2 tables | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The increasing demand for intelligent services and privacy protection of
mobile and Internet of Things (IoT) devices motivates the wide application of
Federated Edge Learning (FEL), in which devices collaboratively train on-device
Machine Learning (ML) models without sharing their private data. Limited by
device hard... | [
{
"created": "Sat, 14 Jan 2023 08:08:29 GMT",
"version": "v1"
},
{
"created": "Thu, 2 Feb 2023 15:27:48 GMT",
"version": "v2"
},
{
"created": "Tue, 5 Mar 2024 13:57:22 GMT",
"version": "v3"
}
] | 2024-03-06 | [
[
"Wu",
"Zhiyuan",
""
],
[
"Sun",
"Sheng",
""
],
[
"Wang",
"Yuwei",
""
],
[
"Liu",
"Min",
""
],
[
"Jiang",
"Xuefeng",
""
],
[
"Li",
"Runhan",
""
],
[
"Gao",
"Bo",
""
]
] | The increasing demand for intelligent services and privacy protection of mobile and Internet of Things (IoT) devices motivates the wide application of Federated Edge Learning (FEL), in which devices collaboratively train on-device Machine Learning (ML) models without sharing their private data. Limited by device hardwa... |
1812.05173 | George Chen | Wei Ma, Kendall Nowocin, Niraj Marathe, George H. Chen | An Interpretable Produce Price Forecasting System for Small and Marginal
Farmers in India using Collaborative Filtering and Adaptive Nearest Neighbors | International Conference on Information and Communication
Technologies and Development 2019 | null | null | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Small and marginal farmers, who account for over 80% of India's agricultural
population, often sell their harvest at low, unfavorable prices before
spoilage. These farmers often lack access to either cold storage or market
forecasts. In particular, by having access to cold storage, farmers can store
their produce for... | [
{
"created": "Wed, 12 Dec 2018 22:00:32 GMT",
"version": "v1"
}
] | 2018-12-14 | [
[
"Ma",
"Wei",
""
],
[
"Nowocin",
"Kendall",
""
],
[
"Marathe",
"Niraj",
""
],
[
"Chen",
"George H.",
""
]
] | Small and marginal farmers, who account for over 80% of India's agricultural population, often sell their harvest at low, unfavorable prices before spoilage. These farmers often lack access to either cold storage or market forecasts. In particular, by having access to cold storage, farmers can store their produce for l... |
1211.5740 | Alexandr Klimchik | Yier Wu (EMN, IRCCyN), Alexandr Klimchik (EMN, IRCCyN), Anatol
Pashkevich (EMN, IRCCyN), St\'ephane Caro (IRCCyN), Beno\^it Furet (IRCCyN) | Industry-oriented Performance Measures for Design of Robot Calibration
Experiment | null | New Trends in Mechanism and Machine Science, F. Viadero and M.
Ceccarelli ( (Ed.) (2012) 519-527 | 10.1007/978-94-007-4902-3 55 | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The paper focuses on the accuracy improvement of geometric and elasto-static
calibration of industrial robots. It proposes industry-oriented performance
measures for the calibration experiment design. They are based on the concept
of manipulator test-pose and referred to the end-effector location accuracy
after appli... | [
{
"created": "Sun, 25 Nov 2012 08:05:19 GMT",
"version": "v1"
}
] | 2012-11-27 | [
[
"Wu",
"Yier",
"",
"EMN, IRCCyN"
],
[
"Klimchik",
"Alexandr",
"",
"EMN, IRCCyN"
],
[
"Pashkevich",
"Anatol",
"",
"EMN, IRCCyN"
],
[
"Caro",
"Stéphane",
"",
"IRCCyN"
],
[
"Furet",
"Benoît",
"",
"IRCCyN"
]
] | The paper focuses on the accuracy improvement of geometric and elasto-static calibration of industrial robots. It proposes industry-oriented performance measures for the calibration experiment design. They are based on the concept of manipulator test-pose and referred to the end-effector location accuracy after applica... |
2404.00150 | Melissa Dutz | Avrim Blum and Melissa Dutz | Winning Without Observing Payoffs: Exploiting Behavioral Biases to Win
Nearly Every Round | null | null | 10.4230/LIPIcs.ITCS.2024.18 | null | cs.GT | http://creativecommons.org/licenses/by/4.0/ | Gameplay under various forms of uncertainty has been widely studied. Feldman
et al. (2010) studied a particularly low-information setting in which one
observes the opponent's actions but no payoffs, not even one's own, and
introduced an algorithm which guarantees one's payoff nonetheless approaches
the minimax optima... | [
{
"created": "Fri, 29 Mar 2024 20:46:37 GMT",
"version": "v1"
}
] | 2024-04-02 | [
[
"Blum",
"Avrim",
""
],
[
"Dutz",
"Melissa",
""
]
] | Gameplay under various forms of uncertainty has been widely studied. Feldman et al. (2010) studied a particularly low-information setting in which one observes the opponent's actions but no payoffs, not even one's own, and introduced an algorithm which guarantees one's payoff nonetheless approaches the minimax optimal ... |
2106.13411 | Subhajit Das | Florina Dutt and Subhajit Das | Fine-grained Geolocation Prediction of Tweets with Human Machine
Collaboration | 7 pages | null | null | null | cs.LG cs.CL cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Twitter is a useful resource to analyze peoples' opinions on various topics.
Often these topics are correlated or associated with locations from where these
Tweet posts are made. For example, restaurant owners may need to know where
their target customers eat with respect to the sentiment of the posts made
related to... | [
{
"created": "Fri, 25 Jun 2021 03:51:02 GMT",
"version": "v1"
}
] | 2021-06-28 | [
[
"Dutt",
"Florina",
""
],
[
"Das",
"Subhajit",
""
]
] | Twitter is a useful resource to analyze peoples' opinions on various topics. Often these topics are correlated or associated with locations from where these Tweet posts are made. For example, restaurant owners may need to know where their target customers eat with respect to the sentiment of the posts made related to f... |
1506.05164 | Jiawei Zhang | Jiawei Zhang, Weixiang Shao, Senzhang Wang, Xiangnan Kong, Philip S.
Yu | Partial Network Alignment with Anchor Meta Path and Truncated Generic
Stable Matching | 12 pages, 7 figures, short version is the invited paper of IEEE IRI
'15 | null | null | null | cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | To enjoy more social network services, users nowadays are usually involved in
multiple online social networks simultaneously. The shared users between
different networks are called anchor users, while the remaining unshared users
are named as non-anchor users. Connections between accounts of anchor users in
different... | [
{
"created": "Tue, 16 Jun 2015 22:34:17 GMT",
"version": "v1"
}
] | 2015-06-18 | [
[
"Zhang",
"Jiawei",
""
],
[
"Shao",
"Weixiang",
""
],
[
"Wang",
"Senzhang",
""
],
[
"Kong",
"Xiangnan",
""
],
[
"Yu",
"Philip S.",
""
]
] | To enjoy more social network services, users nowadays are usually involved in multiple online social networks simultaneously. The shared users between different networks are called anchor users, while the remaining unshared users are named as non-anchor users. Connections between accounts of anchor users in different n... |
1302.5150 | Shigeki Matsutani | Shigeki Matsutani and Yoshiyuki Shimosako | Measuring Agglomeration of Agglomerated Particles Pictures | agglomeration, digital image processing procedure, Euler number | null | null | null | cs.CE math-ph math.AT math.MP math.NA math.PR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this article, we introduce a novel geometrical index $\delta_{agg}$, which
is associated with the Euler number and is obtained by an image processing
procedure for a given digital picture of aggregated particles such that
$\delta_{agg}$ exhibits the degree of the agglomerations of the particles. In
the previous wo... | [
{
"created": "Wed, 20 Feb 2013 23:57:10 GMT",
"version": "v1"
},
{
"created": "Wed, 27 Mar 2013 04:03:27 GMT",
"version": "v2"
},
{
"created": "Thu, 6 Jun 2013 08:00:36 GMT",
"version": "v3"
},
{
"created": "Sun, 30 Jun 2013 23:25:53 GMT",
"version": "v4"
}
] | 2013-07-05 | [
[
"Matsutani",
"Shigeki",
""
],
[
"Shimosako",
"Yoshiyuki",
""
]
] | In this article, we introduce a novel geometrical index $\delta_{agg}$, which is associated with the Euler number and is obtained by an image processing procedure for a given digital picture of aggregated particles such that $\delta_{agg}$ exhibits the degree of the agglomerations of the particles. In the previous work... |
1606.01965 | Sabur Hassan Baidya | Sabur Baidya and Marco Levorato | Content-based Cognitive Interference Control for City Monitoring
Applications in the Urban IoT | Submitted to IEEE Globecom 2016 | null | 10.1109/GLOCOM.2016.7841693 | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the Urban Internet of Things devices and systems are interconnected at the
city scale to provide innovative services to the citizens.However, the traffic
generated by the sensing and processing systems may overload local access
networks. A coexistence problem arises where concurrent applications mutually
interfere... | [
{
"created": "Mon, 6 Jun 2016 22:26:28 GMT",
"version": "v1"
}
] | 2018-05-02 | [
[
"Baidya",
"Sabur",
""
],
[
"Levorato",
"Marco",
""
]
] | In the Urban Internet of Things devices and systems are interconnected at the city scale to provide innovative services to the citizens.However, the traffic generated by the sensing and processing systems may overload local access networks. A coexistence problem arises where concurrent applications mutually interfere a... |
2202.02015 | Woo-Seok Choi | Joonghyun Song, Jiwon Shin, Hanseok Kim, Woo-Seok Choi | Energy-Efficient High-Accuracy Spiking Neural Network Inference Using
Time-Domain Neurons | Accepted in AICAS 2022 | null | null | null | cs.NE eess.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Due to the limitations of realizing artificial neural networks on prevalent
von Neumann architectures, recent studies have presented neuromorphic systems
based on spiking neural networks (SNNs) to reduce power and computational cost.
However, conventional analog voltage-domain integrate-and-fire (I&F) neuron
circuits... | [
{
"created": "Fri, 4 Feb 2022 08:24:03 GMT",
"version": "v1"
},
{
"created": "Sun, 10 Apr 2022 02:13:34 GMT",
"version": "v2"
}
] | 2022-04-12 | [
[
"Song",
"Joonghyun",
""
],
[
"Shin",
"Jiwon",
""
],
[
"Kim",
"Hanseok",
""
],
[
"Choi",
"Woo-Seok",
""
]
] | Due to the limitations of realizing artificial neural networks on prevalent von Neumann architectures, recent studies have presented neuromorphic systems based on spiking neural networks (SNNs) to reduce power and computational cost. However, conventional analog voltage-domain integrate-and-fire (I&F) neuron circuits, ... |
2111.08748 | Junhong Xu | Junhong Xu, Kai Yin, Zheng Chen, Jason M. Gregory, Ethan A. Stump,
Lantao Liu | Kernel-based diffusion approximated Markov decision processes for
autonomous navigation and control on unstructured terrains | Accepted by International Journal of Robotics Research. arXiv admin
note: text overlap with arXiv:2006.02008 | null | 10.1177/02783649231225977 | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | We propose a diffusion approximation method to the continuous-state Markov
Decision Processes (MDPs) that can be utilized to address autonomous navigation
and control in unstructured off-road environments. In contrast to most
decision-theoretic planning frameworks that assume fully known state transition
models, we d... | [
{
"created": "Tue, 16 Nov 2021 19:34:19 GMT",
"version": "v1"
},
{
"created": "Tue, 6 Feb 2024 07:37:36 GMT",
"version": "v2"
},
{
"created": "Wed, 7 Feb 2024 05:36:41 GMT",
"version": "v3"
}
] | 2024-02-08 | [
[
"Xu",
"Junhong",
""
],
[
"Yin",
"Kai",
""
],
[
"Chen",
"Zheng",
""
],
[
"Gregory",
"Jason M.",
""
],
[
"Stump",
"Ethan A.",
""
],
[
"Liu",
"Lantao",
""
]
] | We propose a diffusion approximation method to the continuous-state Markov Decision Processes (MDPs) that can be utilized to address autonomous navigation and control in unstructured off-road environments. In contrast to most decision-theoretic planning frameworks that assume fully known state transition models, we des... |
2309.01466 | Ran Cohen | Erica Blum and Elette Boyle and Ran Cohen and Chen-Da Liu-Zhang | Communication Lower Bounds for Cryptographic Broadcast Protocols | A preliminary version of this work appeared in DISC 2023 | null | null | null | cs.CR cs.DC | http://creativecommons.org/licenses/by/4.0/ | Broadcast protocols enable a set of $n$ parties to agree on the input of a
designated sender, even facing attacks by malicious parties. In the
honest-majority setting, randomization and cryptography were harnessed to
achieve low-communication broadcast with sub-quadratic total communication and
balanced sub-linear co... | [
{
"created": "Mon, 4 Sep 2023 09:24:39 GMT",
"version": "v1"
}
] | 2023-09-06 | [
[
"Blum",
"Erica",
""
],
[
"Boyle",
"Elette",
""
],
[
"Cohen",
"Ran",
""
],
[
"Liu-Zhang",
"Chen-Da",
""
]
] | Broadcast protocols enable a set of $n$ parties to agree on the input of a designated sender, even facing attacks by malicious parties. In the honest-majority setting, randomization and cryptography were harnessed to achieve low-communication broadcast with sub-quadratic total communication and balanced sub-linear cost... |
2407.19184 | Jinda Zhang | Jinda Zhang | Enhancing Tree Type Detection in Forest Fire Risk Assessment:
Multi-Stage Approach and Color Encoding with Forest Fire Risk Evaluation
Framework for UAV Imagery | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Forest fires pose a significant threat to ecosystems, economies, and human
health worldwide. Early detection and assessment of forest fires are crucial
for effective management and conservation efforts. Unmanned Aerial Vehicles
(UAVs) equipped with advanced computer vision algorithms offer a promising
solution for fo... | [
{
"created": "Sat, 27 Jul 2024 05:52:31 GMT",
"version": "v1"
},
{
"created": "Tue, 6 Aug 2024 22:36:04 GMT",
"version": "v2"
}
] | 2024-08-08 | [
[
"Zhang",
"Jinda",
""
]
] | Forest fires pose a significant threat to ecosystems, economies, and human health worldwide. Early detection and assessment of forest fires are crucial for effective management and conservation efforts. Unmanned Aerial Vehicles (UAVs) equipped with advanced computer vision algorithms offer a promising solution for fore... |
2203.08731 | Eva Fluck | Eva Fluck | Tangles and Hierarchical Clustering | An extended abstract that contains some of the results has appeared
at MFCS 2019 | null | null | null | cs.DM cs.CV cs.LG math.CO | http://creativecommons.org/licenses/by/4.0/ | We establish a connection between tangles, a concept from structural graph
theory that plays a central role in Robertson and Seymour's graph minor
project, and hierarchical clustering. Tangles cannot only be defined for
graphs, but in fact for arbitrary connectivity functions, which are functions
defined on the subse... | [
{
"created": "Wed, 16 Mar 2022 16:23:48 GMT",
"version": "v1"
}
] | 2022-03-17 | [
[
"Fluck",
"Eva",
""
]
] | We establish a connection between tangles, a concept from structural graph theory that plays a central role in Robertson and Seymour's graph minor project, and hierarchical clustering. Tangles cannot only be defined for graphs, but in fact for arbitrary connectivity functions, which are functions defined on the subsets... |
1901.05372 | Antonino Leonardis | Antonino Leonardis, Gianfranco D'Atri, Fabio Caldarola | The notion of "Unimaginable Numbers" in computational number theory | 15 pages, 5 figures. Related to the conference "The First Symposium
of the International Pythagorean School -- da Pitagora a Sch\"utzenberger:
numeri inimmaginabil\^i\^i\^i" | null | null | null | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Literature considers under the name \emph{unimaginable numbers} any positive
integer going beyond any physical application, with this being more of a vague
description of what we are talking about rather than an actual mathematical
definition. This simply means that research in this topic must always consider
shorten... | [
{
"created": "Wed, 16 Jan 2019 16:26:37 GMT",
"version": "v1"
},
{
"created": "Tue, 12 Mar 2019 13:54:38 GMT",
"version": "v2"
}
] | 2019-03-13 | [
[
"Leonardis",
"Antonino",
""
],
[
"D'Atri",
"Gianfranco",
""
],
[
"Caldarola",
"Fabio",
""
]
] | Literature considers under the name \emph{unimaginable numbers} any positive integer going beyond any physical application, with this being more of a vague description of what we are talking about rather than an actual mathematical definition. This simply means that research in this topic must always consider shortened... |
2401.05642 | Zheng Shi | Zheng Shi, Umang Mathur, Andreas Pavlogiannis | Optimistic Prediction of Synchronization-Reversal Data Races | ICSE'24 | null | null | null | cs.SE | http://creativecommons.org/licenses/by/4.0/ | Dynamic data race detection has emerged as a key technique for ensuring
reliability of concurrent software in practice. However, dynamic approaches can
often miss data races owing to nondeterminism in the thread scheduler.
Predictive race detection techniques cater to this shortcoming by inferring
alternate execution... | [
{
"created": "Thu, 11 Jan 2024 03:34:21 GMT",
"version": "v1"
}
] | 2024-01-12 | [
[
"Shi",
"Zheng",
""
],
[
"Mathur",
"Umang",
""
],
[
"Pavlogiannis",
"Andreas",
""
]
] | Dynamic data race detection has emerged as a key technique for ensuring reliability of concurrent software in practice. However, dynamic approaches can often miss data races owing to nondeterminism in the thread scheduler. Predictive race detection techniques cater to this shortcoming by inferring alternate executions ... |
1005.4025 | William Jackson | Siddharths Sankar Biswas | A Soft Computing Model for Physicians' Decision Process | http://www.journalofcomputing.org | Journal of Computing, Volume 2, Issue 5, May 2010 | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper the author presents a kind of Soft Computing Technique, mainly
an application of fuzzy set theory of Prof. Zadeh [16], on a problem of Medical
Experts Systems. The choosen problem is on design of a physician's decision
model which can take crisp as well as fuzzy data as input, unlike the
traditional mod... | [
{
"created": "Fri, 21 May 2010 17:40:38 GMT",
"version": "v1"
}
] | 2010-05-24 | [
[
"Biswas",
"Siddharths Sankar",
""
]
] | In this paper the author presents a kind of Soft Computing Technique, mainly an application of fuzzy set theory of Prof. Zadeh [16], on a problem of Medical Experts Systems. The choosen problem is on design of a physician's decision model which can take crisp as well as fuzzy data as input, unlike the traditional model... |
2112.06502 | Yuesong Tian | Yuesong Tian, Li Shen, Xiang Tian, Dacheng Tao, Zhifeng Li, Wei Liu,
Yaowu Chen | DGL-GAN: Discriminator Guided Learning for GAN Compression | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Generative Adversarial Networks (GANs) with high computation costs, e.g.,
BigGAN and StyleGAN2, have achieved remarkable results in synthesizing
high-resolution images from random noise. Reducing the computation cost of GANs
while keeping generating photo-realistic images is a challenging field. In this
work, we prop... | [
{
"created": "Mon, 13 Dec 2021 09:24:45 GMT",
"version": "v1"
},
{
"created": "Sun, 24 Mar 2024 15:12:20 GMT",
"version": "v2"
}
] | 2024-03-26 | [
[
"Tian",
"Yuesong",
""
],
[
"Shen",
"Li",
""
],
[
"Tian",
"Xiang",
""
],
[
"Tao",
"Dacheng",
""
],
[
"Li",
"Zhifeng",
""
],
[
"Liu",
"Wei",
""
],
[
"Chen",
"Yaowu",
""
]
] | Generative Adversarial Networks (GANs) with high computation costs, e.g., BigGAN and StyleGAN2, have achieved remarkable results in synthesizing high-resolution images from random noise. Reducing the computation cost of GANs while keeping generating photo-realistic images is a challenging field. In this work, we propos... |
2202.13469 | Jiacheng Li | Jiacheng Li, Jingbo Shang, Julian McAuley | UCTopic: Unsupervised Contrastive Learning for Phrase Representations
and Topic Mining | Accepted as ACL 2022 main conference paper | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | High-quality phrase representations are essential to finding topics and
related terms in documents (a.k.a. topic mining). Existing phrase
representation learning methods either simply combine unigram representations
in a context-free manner or rely on extensive annotations to learn
context-aware knowledge. In this pa... | [
{
"created": "Sun, 27 Feb 2022 22:43:06 GMT",
"version": "v1"
}
] | 2022-03-01 | [
[
"Li",
"Jiacheng",
""
],
[
"Shang",
"Jingbo",
""
],
[
"McAuley",
"Julian",
""
]
] | High-quality phrase representations are essential to finding topics and related terms in documents (a.k.a. topic mining). Existing phrase representation learning methods either simply combine unigram representations in a context-free manner or rely on extensive annotations to learn context-aware knowledge. In this pape... |
2403.01860 | Lilas Alrahis | Lilas Alrahis, Hassan Nassar, Jonas Krautter, Dennis Gnad, Lars Bauer,
Jorg Henkel, and Mehdi Tahoori | MaliGNNoma: GNN-Based Malicious Circuit Classifier for Secure Cloud
FPGAs | Will appear in the 2024 IEEE International Symposium on Hardware
Oriented Security and Trust (HOST) | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The security of cloud field-programmable gate arrays (FPGAs) faces challenges
from untrusted users attempting fault and side-channel attacks through
malicious circuit configurations. Fault injection attacks can result in denial
of service, disrupting functionality or leaking secret information. This threat
is further... | [
{
"created": "Mon, 4 Mar 2024 09:16:12 GMT",
"version": "v1"
}
] | 2024-03-05 | [
[
"Alrahis",
"Lilas",
""
],
[
"Nassar",
"Hassan",
""
],
[
"Krautter",
"Jonas",
""
],
[
"Gnad",
"Dennis",
""
],
[
"Bauer",
"Lars",
""
],
[
"Henkel",
"Jorg",
""
],
[
"Tahoori",
"Mehdi",
""
]
] | The security of cloud field-programmable gate arrays (FPGAs) faces challenges from untrusted users attempting fault and side-channel attacks through malicious circuit configurations. Fault injection attacks can result in denial of service, disrupting functionality or leaking secret information. This threat is further a... |
2406.06248 | Shikai Qiu | Shikai Qiu, Andres Potapczynski, Marc Finzi, Micah Goldblum, Andrew
Gordon Wilson | Compute Better Spent: Replacing Dense Layers with Structured Matrices | ICML 24. Code available at
https://github.com/shikaiqiu/compute-better-spent | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Dense linear layers are the dominant computational bottleneck in foundation
models. Identifying more efficient alternatives to dense matrices has enormous
potential for building more compute-efficient models, as exemplified by the
success of convolutional networks in the image domain. In this work, we
systematically ... | [
{
"created": "Mon, 10 Jun 2024 13:25:43 GMT",
"version": "v1"
}
] | 2024-06-11 | [
[
"Qiu",
"Shikai",
""
],
[
"Potapczynski",
"Andres",
""
],
[
"Finzi",
"Marc",
""
],
[
"Goldblum",
"Micah",
""
],
[
"Wilson",
"Andrew Gordon",
""
]
] | Dense linear layers are the dominant computational bottleneck in foundation models. Identifying more efficient alternatives to dense matrices has enormous potential for building more compute-efficient models, as exemplified by the success of convolutional networks in the image domain. In this work, we systematically ex... |
2107.06661 | Ingmar Schubert | Ingmar Schubert and Ozgur S. Oguz and Marc Toussaint | Plan-Based Relaxed Reward Shaping for Goal-Directed Tasks | Published as a conference paper at ICLR 2021 | ICLR 2021 - 9th International Conference on Learning
Representations | null | null | cs.AI cs.LG cs.RO | http://creativecommons.org/licenses/by/4.0/ | In high-dimensional state spaces, the usefulness of Reinforcement Learning
(RL) is limited by the problem of exploration. This issue has been addressed
using potential-based reward shaping (PB-RS) previously. In the present work,
we introduce Final-Volume-Preserving Reward Shaping (FV-RS). FV-RS relaxes the
strict op... | [
{
"created": "Wed, 14 Jul 2021 12:55:41 GMT",
"version": "v1"
}
] | 2021-07-15 | [
[
"Schubert",
"Ingmar",
""
],
[
"Oguz",
"Ozgur S.",
""
],
[
"Toussaint",
"Marc",
""
]
] | In high-dimensional state spaces, the usefulness of Reinforcement Learning (RL) is limited by the problem of exploration. This issue has been addressed using potential-based reward shaping (PB-RS) previously. In the present work, we introduce Final-Volume-Preserving Reward Shaping (FV-RS). FV-RS relaxes the strict opti... |
1708.04028 | Lucas Carvalho Cordeiro | Rodrigo F. Ara\'ujo, Alexandre Ribeiro, Iury V. Bessa, Lucas C.
Cordeiro, Jo\~ao E. C. Filho | Counterexample Guided Inductive Optimization Applied to Mobile Robots
Path Planning (Extended Version) | 7 pages, 14rd Latin American Robotics Symposium (LARS'2017) | null | null | null | cs.RO cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We describe and evaluate a novel optimization-based off-line path planning
algorithm for mobile robots based on the Counterexample-Guided Inductive
Optimization (CEGIO) technique. CEGIO iteratively employs counterexamples
generated from Boolean Satisfiability (SAT) and Satisfiability Modulo Theories
(SMT) solvers, in... | [
{
"created": "Mon, 14 Aug 2017 08:04:43 GMT",
"version": "v1"
}
] | 2017-08-15 | [
[
"Araújo",
"Rodrigo F.",
""
],
[
"Ribeiro",
"Alexandre",
""
],
[
"Bessa",
"Iury V.",
""
],
[
"Cordeiro",
"Lucas C.",
""
],
[
"Filho",
"João E. C.",
""
]
] | We describe and evaluate a novel optimization-based off-line path planning algorithm for mobile robots based on the Counterexample-Guided Inductive Optimization (CEGIO) technique. CEGIO iteratively employs counterexamples generated from Boolean Satisfiability (SAT) and Satisfiability Modulo Theories (SMT) solvers, in o... |
1610.02509 | Kareem Ahmed | I. M. El-Henawy, Kareem Ahmed | Content-Based Image Retrieval Using Multiresolution Analysis Of
Shape-Based Classified Images | null | Global Journal of Computers & Technology 1, no. 1 (2014) | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Content-Based Image Retrieval (CBIR) systems have been widely used for a wide
range of applications such as Art collections, Crime prevention and
Intellectual property. In this paper, a novel CBIR system, which utilizes
visual contents (color, texture and shape) of an image to retrieve images, is
proposed. The propos... | [
{
"created": "Sat, 8 Oct 2016 10:27:58 GMT",
"version": "v1"
}
] | 2017-03-23 | [
[
"El-Henawy",
"I. M.",
""
],
[
"Ahmed",
"Kareem",
""
]
] | Content-Based Image Retrieval (CBIR) systems have been widely used for a wide range of applications such as Art collections, Crime prevention and Intellectual property. In this paper, a novel CBIR system, which utilizes visual contents (color, texture and shape) of an image to retrieve images, is proposed. The proposed... |
2005.05080 | Honglin Li | Honglin Li, Payam Barnaghi, Shirin Enshaeifar, Frieder Ganz | Continual Learning Using Multi-view Task Conditional Neural Networks | 10 pages | null | null | null | cs.LG stat.ML | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Conventional deep learning models have limited capacity in learning multiple
tasks sequentially. The issue of forgetting the previously learned tasks in
continual learning is known as catastrophic forgetting or interference. When
the input data or the goal of learning change, a continual model will learn and
adapt to... | [
{
"created": "Fri, 8 May 2020 01:03:30 GMT",
"version": "v1"
},
{
"created": "Thu, 9 Jul 2020 04:58:37 GMT",
"version": "v2"
},
{
"created": "Mon, 13 Jul 2020 09:19:07 GMT",
"version": "v3"
}
] | 2020-07-14 | [
[
"Li",
"Honglin",
""
],
[
"Barnaghi",
"Payam",
""
],
[
"Enshaeifar",
"Shirin",
""
],
[
"Ganz",
"Frieder",
""
]
] | Conventional deep learning models have limited capacity in learning multiple tasks sequentially. The issue of forgetting the previously learned tasks in continual learning is known as catastrophic forgetting or interference. When the input data or the goal of learning change, a continual model will learn and adapt to t... |
1703.06660 | Edward Cartwright | Julio Hernandez-Castro, Edward Cartwright and Anna Stepanova | Economic Analysis of Ransomware | null | null | null | null | cs.CR cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present in this work an economic analysis of ransomware, with relevant
data from Cryptolocker, CryptoWall, TeslaCrypt and other major strands. We
include a detailed study of the impact that different price discrimination
strategies can have on the success of a ransomware family, examining uniform
pricing, optimal ... | [
{
"created": "Mon, 20 Mar 2017 10:40:46 GMT",
"version": "v1"
}
] | 2017-03-21 | [
[
"Hernandez-Castro",
"Julio",
""
],
[
"Cartwright",
"Edward",
""
],
[
"Stepanova",
"Anna",
""
]
] | We present in this work an economic analysis of ransomware, with relevant data from Cryptolocker, CryptoWall, TeslaCrypt and other major strands. We include a detailed study of the impact that different price discrimination strategies can have on the success of a ransomware family, examining uniform pricing, optimal pr... |
2311.12802 | Absalom Ezugwu | Absalom E. Ezugwu | A general Framework for Utilizing Metaheuristic Optimization for
Sustainable Unrelated Parallel Machine Scheduling: A concise overview | null | null | null | null | cs.NE cs.AI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Sustainable development has emerged as a global priority, and industries are
increasingly striving to align their operations with sustainable practices.
Parallel machine scheduling (PMS) is a critical aspect of production planning
that directly impacts resource utilization and operational efficiency. In this
paper, w... | [
{
"created": "Thu, 14 Sep 2023 17:30:26 GMT",
"version": "v1"
}
] | 2023-11-23 | [
[
"Ezugwu",
"Absalom E.",
""
]
] | Sustainable development has emerged as a global priority, and industries are increasingly striving to align their operations with sustainable practices. Parallel machine scheduling (PMS) is a critical aspect of production planning that directly impacts resource utilization and operational efficiency. In this paper, we ... |
2309.02604 | Stephen Lu | Stephen Z. Lu | Screening of Pneumonia and Urinary Tract Infection at Triage using
TriNet | Index Terms: Downstream testing, Machine Learning, Medical
directives, Modelling, Modular network, Pneumonia, Positive predictive value,
Screening, Triage, Urinary tract infection | null | null | null | cs.LG cs.CY | http://creativecommons.org/licenses/by/4.0/ | Due to the steady rise in population demographics and longevity, emergency
department visits are increasing across North America. As more patients visit
the emergency department, traditional clinical workflows become overloaded and
inefficient, leading to prolonged wait-times and reduced healthcare quality.
One of su... | [
{
"created": "Tue, 5 Sep 2023 22:25:30 GMT",
"version": "v1"
}
] | 2023-09-07 | [
[
"Lu",
"Stephen Z.",
""
]
] | Due to the steady rise in population demographics and longevity, emergency department visits are increasing across North America. As more patients visit the emergency department, traditional clinical workflows become overloaded and inefficient, leading to prolonged wait-times and reduced healthcare quality. One of such... |
2307.10732 | Shuhao Zhang | Zhonghao Yang, Shuhao Zhang, Binbin Chen | TransNFV: Integrating Transactional Semantics for Efficient State
Management in Virtual Network Functions | null | null | null | null | cs.NI cs.DC | http://creativecommons.org/licenses/by/4.0/ | Managing shared mutable states in high concurrency state access operations is
a persistent challenge in Network Functions Virtualization (NFV). This is
particularly true when striving to meet chain output equivalence (COE)
requirements. This paper presents TransNFV, an innovative NFV framework that
incorporates trans... | [
{
"created": "Thu, 20 Jul 2023 09:45:15 GMT",
"version": "v1"
}
] | 2023-07-21 | [
[
"Yang",
"Zhonghao",
""
],
[
"Zhang",
"Shuhao",
""
],
[
"Chen",
"Binbin",
""
]
] | Managing shared mutable states in high concurrency state access operations is a persistent challenge in Network Functions Virtualization (NFV). This is particularly true when striving to meet chain output equivalence (COE) requirements. This paper presents TransNFV, an innovative NFV framework that incorporates transac... |
1412.5676 | Ali Heydari | Ali Heydari | Optimal Triggering of Networked Control Systems | null | null | null | null | cs.SY math.OC stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The problem of resource allocation of nonlinear networked control systems is
investigated, where, unlike the well discussed case of triggering for
stability, the objective is optimal triggering. An approximate dynamic
programming approach is developed for solving problems with fixed final times
initially and then it ... | [
{
"created": "Wed, 17 Dec 2014 23:36:21 GMT",
"version": "v1"
}
] | 2014-12-19 | [
[
"Heydari",
"Ali",
""
]
] | The problem of resource allocation of nonlinear networked control systems is investigated, where, unlike the well discussed case of triggering for stability, the objective is optimal triggering. An approximate dynamic programming approach is developed for solving problems with fixed final times initially and then it is... |
0712.1759 | Sebastien George | Madeth May (LIESP), S\'ebastien George (LIESP), Patrick Pr\'ev\^ot
(LIESP) | A Web-based System for Observing and Analyzing Computer Mediated
Communications | null | Dans Proceedings of the IEEE/WIC/ACM International Conference on
Web Intelligence (WI 2006) - IEEE/WIC/ACM International Conference on Web
Intelligence (WI 2006, Hong Kong : Chine (2006) | null | null | cs.HC | null | Tracking data of user's activities resulting from Computer Mediated
Communication (CMC) tools (forum, chat, etc.) is often carried out in an ad-hoc
manner, which either confines the reusability of data in different purposes or
makes data exploitation difficult. Our research works are biased toward
methodological chal... | [
{
"created": "Tue, 11 Dec 2007 16:47:54 GMT",
"version": "v1"
}
] | 2007-12-12 | [
[
"May",
"Madeth",
"",
"LIESP"
],
[
"George",
"Sébastien",
"",
"LIESP"
],
[
"Prévôt",
"Patrick",
"",
"LIESP"
]
] | Tracking data of user's activities resulting from Computer Mediated Communication (CMC) tools (forum, chat, etc.) is often carried out in an ad-hoc manner, which either confines the reusability of data in different purposes or makes data exploitation difficult. Our research works are biased toward methodological challe... |
1801.07549 | Johannes Bund | Johannes Bund and Christoph Lenzen and Moti Medina | Optimal Metastability-Containing Sorting Networks | The paper will be published during DATE 2018 | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | When setup/hold times of bistable elements are violated, they may become
metastable, i.e., enter a transient state that is neither digital 0 nor 1. In
general, metastability cannot be avoided, a problem that manifests whenever
taking discrete measurements of analog values. Metastability of the output then
reflects un... | [
{
"created": "Mon, 22 Jan 2018 10:29:02 GMT",
"version": "v1"
}
] | 2018-01-24 | [
[
"Bund",
"Johannes",
""
],
[
"Lenzen",
"Christoph",
""
],
[
"Medina",
"Moti",
""
]
] | When setup/hold times of bistable elements are violated, they may become metastable, i.e., enter a transient state that is neither digital 0 nor 1. In general, metastability cannot be avoided, a problem that manifests whenever taking discrete measurements of analog values. Metastability of the output then reflects unce... |
1811.04480 | Vahid Noroozi | Vahid Noroozi, Sara Bahaadini, Lei Zheng, Sihong Xie, Weixiang Shao,
Philip S. Yu | Semi-supervised Deep Representation Learning for Multi-View Problems | Accepted to IEEE Big Data 2018. 9 Pages | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | While neural networks for learning representation of multi-view data have
been previously proposed as one of the state-of-the-art multi-view dimension
reduction techniques, how to make the representation discriminative with only a
small amount of labeled data is not well-studied. We introduce a
semi-supervised neural... | [
{
"created": "Sun, 11 Nov 2018 20:53:50 GMT",
"version": "v1"
}
] | 2018-11-13 | [
[
"Noroozi",
"Vahid",
""
],
[
"Bahaadini",
"Sara",
""
],
[
"Zheng",
"Lei",
""
],
[
"Xie",
"Sihong",
""
],
[
"Shao",
"Weixiang",
""
],
[
"Yu",
"Philip S.",
""
]
] | While neural networks for learning representation of multi-view data have been previously proposed as one of the state-of-the-art multi-view dimension reduction techniques, how to make the representation discriminative with only a small amount of labeled data is not well-studied. We introduce a semi-supervised neural n... |
2012.10052 | Ayush Kaushal | Ayush Kaushal and Tejas Vaidhya | Leveraging Event Specific and Chunk Span features to Extract COVID
Events from tweets | EMNLP 2020 Workshop, Oral, 8 pages | null | 10.18653/v1/2020.wnut-1.79 | null | cs.CL cs.SI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Twitter has acted as an important source of information during disasters and
pandemic, especially during the times of COVID-19. In this paper, we describe
our system entry for WNUT 2020 Shared Task-3. The task was aimed at automating
the extraction of a variety of COVID-19 related events from Twitter, such as
individ... | [
{
"created": "Fri, 18 Dec 2020 04:49:32 GMT",
"version": "v1"
}
] | 2020-12-21 | [
[
"Kaushal",
"Ayush",
""
],
[
"Vaidhya",
"Tejas",
""
]
] | Twitter has acted as an important source of information during disasters and pandemic, especially during the times of COVID-19. In this paper, we describe our system entry for WNUT 2020 Shared Task-3. The task was aimed at automating the extraction of a variety of COVID-19 related events from Twitter, such as individua... |
2407.06153 | Shihan Dou | Shihan Dou, Haoxiang Jia, Shenxi Wu, Huiyuan Zheng, Weikang Zhou,
Muling Wu, Mingxu Chai, Jessica Fan, Caishuang Huang, Yunbo Tao, Yan Liu,
Enyu Zhou, Ming Zhang, Yuhao Zhou, Yueming Wu, Rui Zheng, Ming Wen, Rongxiang
Weng, Jingang Wang, Xunliang Cai, Tao Gui, Xipeng Qiu, Qi Zhang, Xuanjing
Huang | What's Wrong with Your Code Generated by Large Language Models? An
Extensive Study | 17 pages, 7 figures | null | null | null | cs.SE cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The increasing development of large language models (LLMs) in code generation
has drawn significant attention among researchers. To enhance LLM-based code
generation ability, current efforts are predominantly directed towards
collecting high-quality datasets and leveraging diverse training technologies.
However, ther... | [
{
"created": "Mon, 8 Jul 2024 17:27:17 GMT",
"version": "v1"
}
] | 2024-07-09 | [
[
"Dou",
"Shihan",
""
],
[
"Jia",
"Haoxiang",
""
],
[
"Wu",
"Shenxi",
""
],
[
"Zheng",
"Huiyuan",
""
],
[
"Zhou",
"Weikang",
""
],
[
"Wu",
"Muling",
""
],
[
"Chai",
"Mingxu",
""
],
[
"Fan",
"Jessi... | The increasing development of large language models (LLMs) in code generation has drawn significant attention among researchers. To enhance LLM-based code generation ability, current efforts are predominantly directed towards collecting high-quality datasets and leveraging diverse training technologies. However, there ... |
2405.18884 | Zhiyuan Wang | Shengcai Liu, Zhiyuan Wang, Yew-Soon Ong, Xin Yao, Ke Tang | Learning Mixture-of-Experts for General-Purpose Black-Box Discrete
Optimization | 34 pages, 6 figures | null | null | null | cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Real-world applications involve various discrete optimization problems.
Designing a specialized optimizer for each of these problems is challenging,
typically requiring significant domain knowledge and human efforts. Hence,
developing general-purpose optimizers as an off-the-shelf tool for a wide range
of problems ha... | [
{
"created": "Wed, 29 May 2024 08:41:08 GMT",
"version": "v1"
}
] | 2024-05-30 | [
[
"Liu",
"Shengcai",
""
],
[
"Wang",
"Zhiyuan",
""
],
[
"Ong",
"Yew-Soon",
""
],
[
"Yao",
"Xin",
""
],
[
"Tang",
"Ke",
""
]
] | Real-world applications involve various discrete optimization problems. Designing a specialized optimizer for each of these problems is challenging, typically requiring significant domain knowledge and human efforts. Hence, developing general-purpose optimizers as an off-the-shelf tool for a wide range of problems has ... |
1911.05177 | Jozef Bucko | Jozef Bucko, Yulia Sandamirskaya and Jean-Jacques Slotine | Numerical and experimental realization of analytical SLAM | Due to the misunderstanding paper had been submitted before all
authors agreed on the final version | null | null | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | Analytical approach to SLAM problem was introduced in the recent years. In
our work we investigate the method numerically with the motivation of using the
algorithm in a real hardware experiments. We perform a robustness test of the
algorithm and apply it to the robotic hardware in two different setups. In one
we try... | [
{
"created": "Tue, 12 Nov 2019 22:46:15 GMT",
"version": "v1"
},
{
"created": "Fri, 15 Nov 2019 21:13:22 GMT",
"version": "v2"
}
] | 2019-11-19 | [
[
"Bucko",
"Jozef",
""
],
[
"Sandamirskaya",
"Yulia",
""
],
[
"Slotine",
"Jean-Jacques",
""
]
] | Analytical approach to SLAM problem was introduced in the recent years. In our work we investigate the method numerically with the motivation of using the algorithm in a real hardware experiments. We perform a robustness test of the algorithm and apply it to the robotic hardware in two different setups. In one we try t... |
2305.09018 | Cyril Picard | Cyril Picard, J\"urg Schiffmann and Faez Ahmed | DATED: Guidelines for Creating Synthetic Datasets for Engineering Design
Applications | Submitted to the International Design Engineering Technical
Conferences 2023 (Boston, Aug. 2023) | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Exploiting the recent advancements in artificial intelligence, showcased by
ChatGPT and DALL-E, in real-world applications necessitates vast,
domain-specific, and publicly accessible datasets. Unfortunately, the scarcity
of such datasets poses a significant challenge for researchers aiming to apply
these breakthrough... | [
{
"created": "Mon, 15 May 2023 21:00:09 GMT",
"version": "v1"
}
] | 2023-05-17 | [
[
"Picard",
"Cyril",
""
],
[
"Schiffmann",
"Jürg",
""
],
[
"Ahmed",
"Faez",
""
]
] | Exploiting the recent advancements in artificial intelligence, showcased by ChatGPT and DALL-E, in real-world applications necessitates vast, domain-specific, and publicly accessible datasets. Unfortunately, the scarcity of such datasets poses a significant challenge for researchers aiming to apply these breakthroughs ... |
1606.02492 | Shreyas Saxena | Shreyas Saxena and Jakob Verbeek | Convolutional Neural Fabrics | Corrected typos (In proceedings of NIPS16 ) | null | null | null | cs.CV cs.LG cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Despite the success of CNNs, selecting the optimal architecture for a given
task remains an open problem. Instead of aiming to select a single optimal
architecture, we propose a "fabric" that embeds an exponentially large number
of architectures. The fabric consists of a 3D trellis that connects response
maps at diff... | [
{
"created": "Wed, 8 Jun 2016 10:17:51 GMT",
"version": "v1"
},
{
"created": "Thu, 9 Jun 2016 16:21:57 GMT",
"version": "v2"
},
{
"created": "Fri, 28 Oct 2016 13:10:05 GMT",
"version": "v3"
},
{
"created": "Mon, 30 Jan 2017 12:28:29 GMT",
"version": "v4"
}
] | 2017-01-31 | [
[
"Saxena",
"Shreyas",
""
],
[
"Verbeek",
"Jakob",
""
]
] | Despite the success of CNNs, selecting the optimal architecture for a given task remains an open problem. Instead of aiming to select a single optimal architecture, we propose a "fabric" that embeds an exponentially large number of architectures. The fabric consists of a 3D trellis that connects response maps at differ... |
1806.05893 | Antonino Sabetta | Serena E. Ponta and Henrik Plate and Antonino Sabetta | Beyond Metadata: Code-centric and Usage-based Analysis of Known
Vulnerabilities in Open-source Software | To appear in the Proc. of the 2018 IEEE International Conference on
Software Maintenance and Evolution (ICSME) Added: - acknowledgements -
citation to Dashevskyi et al. (TSE 2018), DOI: 10.1109/TSE.2018.2816033 | null | null | null | cs.CR cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The use of open-source software (OSS) is ever-increasing, and so is the
number of open-source vulnerabilities being discovered and publicly disclosed.
The gains obtained from the reuse of community-developed libraries may be
offset by the cost of detecting, assessing, and mitigating their
vulnerabilities in a timely ... | [
{
"created": "Fri, 15 Jun 2018 10:33:48 GMT",
"version": "v1"
},
{
"created": "Tue, 3 Jul 2018 13:02:04 GMT",
"version": "v2"
},
{
"created": "Thu, 12 Jul 2018 09:01:50 GMT",
"version": "v3"
}
] | 2018-07-13 | [
[
"Ponta",
"Serena E.",
""
],
[
"Plate",
"Henrik",
""
],
[
"Sabetta",
"Antonino",
""
]
] | The use of open-source software (OSS) is ever-increasing, and so is the number of open-source vulnerabilities being discovered and publicly disclosed. The gains obtained from the reuse of community-developed libraries may be offset by the cost of detecting, assessing, and mitigating their vulnerabilities in a timely fa... |
2307.10897 | Merle Reimann | Merle M. Reimann, Florian A. Kunneman, Catharine Oertel, Koen V.
Hindriks | A Survey on Dialogue Management in Human-Robot Interaction | null | null | null | null | cs.RO cs.HC | http://creativecommons.org/licenses/by/4.0/ | As social robots see increasing deployment within the general public,
improving the interaction with those robots is essential. Spoken language
offers an intuitive interface for the human-robot interaction (HRI), with
dialogue management (DM) being a key component in those interactive systems.
Yet, to overcome curren... | [
{
"created": "Thu, 20 Jul 2023 14:19:27 GMT",
"version": "v1"
}
] | 2023-07-21 | [
[
"Reimann",
"Merle M.",
""
],
[
"Kunneman",
"Florian A.",
""
],
[
"Oertel",
"Catharine",
""
],
[
"Hindriks",
"Koen V.",
""
]
] | As social robots see increasing deployment within the general public, improving the interaction with those robots is essential. Spoken language offers an intuitive interface for the human-robot interaction (HRI), with dialogue management (DM) being a key component in those interactive systems. Yet, to overcome current ... |
2207.07971 | Xiuxian Li | Xiuxian Li, Min Meng, Yiguang Hong, and Jie Chen | A Survey of Decision Making in Adversarial Games | null | null | null | null | cs.GT cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Game theory has by now found numerous applications in various fields,
including economics, industry, jurisprudence, and artificial intelligence,
where each player only cares about its own interest in a noncooperative or
cooperative manner, but without obvious malice to other players. However, in
many practical applic... | [
{
"created": "Sat, 16 Jul 2022 16:04:01 GMT",
"version": "v1"
}
] | 2022-07-19 | [
[
"Li",
"Xiuxian",
""
],
[
"Meng",
"Min",
""
],
[
"Hong",
"Yiguang",
""
],
[
"Chen",
"Jie",
""
]
] | Game theory has by now found numerous applications in various fields, including economics, industry, jurisprudence, and artificial intelligence, where each player only cares about its own interest in a noncooperative or cooperative manner, but without obvious malice to other players. However, in many practical applicat... |
2304.01811 | Quanshi Zhang | Lu Chen, Siyu Lou, Keyan Zhang, Jin Huang, Quanshi Zhang | HarsanyiNet: Computing Accurate Shapley Values in a Single Forward
Propagation | null | null | null | null | cs.LG cs.AI cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Shapley value is widely regarded as a trustworthy attribution metric.
However, when people use Shapley values to explain the attribution of input
variables of a deep neural network (DNN), it usually requires a very high
computational cost to approximate relatively accurate Shapley values in
real-world application... | [
{
"created": "Tue, 4 Apr 2023 14:08:42 GMT",
"version": "v1"
},
{
"created": "Fri, 1 Dec 2023 12:27:10 GMT",
"version": "v2"
}
] | 2023-12-04 | [
[
"Chen",
"Lu",
""
],
[
"Lou",
"Siyu",
""
],
[
"Zhang",
"Keyan",
""
],
[
"Huang",
"Jin",
""
],
[
"Zhang",
"Quanshi",
""
]
] | The Shapley value is widely regarded as a trustworthy attribution metric. However, when people use Shapley values to explain the attribution of input variables of a deep neural network (DNN), it usually requires a very high computational cost to approximate relatively accurate Shapley values in real-world applications.... |
1209.3694 | Yifei Ma | Yifei Ma, Roman Garnett, Jeff Schneider | Submodularity in Batch Active Learning and Survey Problems on Gaussian
Random Fields | null | null | null | null | cs.LG cs.AI cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Many real-world datasets can be represented in the form of a graph whose edge
weights designate similarities between instances. A discrete Gaussian random
field (GRF) model is a finite-dimensional Gaussian process (GP) whose prior
covariance is the inverse of a graph Laplacian. Minimizing the trace of the
predictive ... | [
{
"created": "Mon, 17 Sep 2012 15:43:11 GMT",
"version": "v1"
}
] | 2012-09-18 | [
[
"Ma",
"Yifei",
""
],
[
"Garnett",
"Roman",
""
],
[
"Schneider",
"Jeff",
""
]
] | Many real-world datasets can be represented in the form of a graph whose edge weights designate similarities between instances. A discrete Gaussian random field (GRF) model is a finite-dimensional Gaussian process (GP) whose prior covariance is the inverse of a graph Laplacian. Minimizing the trace of the predictive co... |
2004.13888 | Andrew Vardy | Andrew Vardy, Dalia S. Ibrahim | A Swarm of Simple Robots Constructing Planar Shapes | Submitted to IROS 2020 | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a new version of our previously proposed algorithm enabling a
swarm of robots to construct a desired shape from objects in the plane. We also
describe a hardware realization for this system which makes use of simple and
readily sourced components. We refer to the task as planar construction which
is the ga... | [
{
"created": "Tue, 28 Apr 2020 23:24:10 GMT",
"version": "v1"
}
] | 2020-04-30 | [
[
"Vardy",
"Andrew",
""
],
[
"Ibrahim",
"Dalia S.",
""
]
] | We present a new version of our previously proposed algorithm enabling a swarm of robots to construct a desired shape from objects in the plane. We also describe a hardware realization for this system which makes use of simple and readily sourced components. We refer to the task as planar construction which is the gath... |
1202.3367 | Richard Peng | Jonathan A. Kelner, Gary Miller, Richard Peng | Faster Approximate Multicommodity Flow Using Quadratically Coupled Flows | null | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The maximum multicommodity flow problem is a natural generalization of the
maximum flow problem to route multiple distinct flows. Obtaining a $1-\epsilon$
approximation to the multicommodity flow problem on graphs is a well-studied
problem. In this paper we present an adaptation of recent advances in
single-commodity... | [
{
"created": "Wed, 15 Feb 2012 17:01:35 GMT",
"version": "v1"
},
{
"created": "Thu, 16 Feb 2012 13:49:52 GMT",
"version": "v2"
},
{
"created": "Tue, 8 May 2012 03:59:37 GMT",
"version": "v3"
}
] | 2012-05-09 | [
[
"Kelner",
"Jonathan A.",
""
],
[
"Miller",
"Gary",
""
],
[
"Peng",
"Richard",
""
]
] | The maximum multicommodity flow problem is a natural generalization of the maximum flow problem to route multiple distinct flows. Obtaining a $1-\epsilon$ approximation to the multicommodity flow problem on graphs is a well-studied problem. In this paper we present an adaptation of recent advances in single-commodity f... |
2301.11116 | Ruyang Liu | Ruyang Liu and Jingjia Huang and Ge Li and Jiashi Feng and Xinglong Wu
and Thomas H. Li | Revisiting Temporal Modeling for CLIP-based Image-to-Video Knowledge
Transferring | null | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Image-text pretrained models, e.g., CLIP, have shown impressive general
multi-modal knowledge learned from large-scale image-text data pairs, thus
attracting increasing attention for their potential to improve visual
representation learning in the video domain. In this paper, based on the CLIP
model, we revisit tempo... | [
{
"created": "Thu, 26 Jan 2023 14:12:02 GMT",
"version": "v1"
}
] | 2023-01-27 | [
[
"Liu",
"Ruyang",
""
],
[
"Huang",
"Jingjia",
""
],
[
"Li",
"Ge",
""
],
[
"Feng",
"Jiashi",
""
],
[
"Wu",
"Xinglong",
""
],
[
"Li",
"Thomas H.",
""
]
] | Image-text pretrained models, e.g., CLIP, have shown impressive general multi-modal knowledge learned from large-scale image-text data pairs, thus attracting increasing attention for their potential to improve visual representation learning in the video domain. In this paper, based on the CLIP model, we revisit tempora... |
2205.01651 | Vladislav Ryzhikov Dr | Marie Fortin, Boris Konev, Vladislav Ryzhikov, Yury Savateev, Frank
Wolter and Michael Zakharyaschev | Unique Characterisability and Learnability of Temporal Instance Queries | accepted for KR2022 | null | null | null | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We aim to determine which temporal instance queries can be uniquely
characterised by a (polynomial-size) set of positive and negative temporal data
examples. We start by considering queries formulated in fragments of
propositional linear temporal logic LTL that correspond to conjunctive queries
(CQs) or extensions th... | [
{
"created": "Tue, 3 May 2022 17:25:42 GMT",
"version": "v1"
}
] | 2022-05-04 | [
[
"Fortin",
"Marie",
""
],
[
"Konev",
"Boris",
""
],
[
"Ryzhikov",
"Vladislav",
""
],
[
"Savateev",
"Yury",
""
],
[
"Wolter",
"Frank",
""
],
[
"Zakharyaschev",
"Michael",
""
]
] | We aim to determine which temporal instance queries can be uniquely characterised by a (polynomial-size) set of positive and negative temporal data examples. We start by considering queries formulated in fragments of propositional linear temporal logic LTL that correspond to conjunctive queries (CQs) or extensions ther... |
2001.03541 | Amir Shaikhha | Amir Shaikhha, Maximilian Schleich, Alexandru Ghita, Dan Olteanu | Multi-layer Optimizations for End-to-End Data Analytics | null | null | null | null | cs.PL cs.DB cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the problem of training machine learning models over
multi-relational data. The mainstream approach is to first construct the
training dataset using a feature extraction query over input database and then
use a statistical software package of choice to train the model. In this paper
we introduce Iterative... | [
{
"created": "Fri, 10 Jan 2020 16:14:44 GMT",
"version": "v1"
}
] | 2020-01-13 | [
[
"Shaikhha",
"Amir",
""
],
[
"Schleich",
"Maximilian",
""
],
[
"Ghita",
"Alexandru",
""
],
[
"Olteanu",
"Dan",
""
]
] | We consider the problem of training machine learning models over multi-relational data. The mainstream approach is to first construct the training dataset using a feature extraction query over input database and then use a statistical software package of choice to train the model. In this paper we introduce Iterative F... |
2211.09728 | Sajad Movahedi | Sajad Movahedi, Azadeh Shakery | Generative Adversarial Training Can Improve Neural Language Models | An extended abstract selected for poster presentation at the Eastern
European Machine Learning Summer School 2019 | null | null | null | cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | While deep learning in the form of recurrent neural networks (RNNs) has
caused a significant improvement in neural language modeling, the fact that
they are extremely prone to overfitting is still a mainly unresolved issue. In
this paper we propose a regularization method based on generative adversarial
networks (GAN... | [
{
"created": "Wed, 2 Nov 2022 17:56:33 GMT",
"version": "v1"
}
] | 2022-11-18 | [
[
"Movahedi",
"Sajad",
""
],
[
"Shakery",
"Azadeh",
""
]
] | While deep learning in the form of recurrent neural networks (RNNs) has caused a significant improvement in neural language modeling, the fact that they are extremely prone to overfitting is still a mainly unresolved issue. In this paper we propose a regularization method based on generative adversarial networks (GANs)... |
2307.00990 | Zhiguo Ding | Zhiguo Ding and Robert Schober and Bayan Sharif and and H. Vincent
Poor | NOMA-Assisted Grant-Free Transmission: How to Design Pre-Configured SNR
Levels? | null | null | null | null | cs.IT eess.SP math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | An effective way to realize non-orthogonal multiple access (NOMA) assisted
grant-free transmission is to first create multiple receive signal-to-noise
ratio (SNR) levels and then serve multiple grant-free users by employing these
SNR levels as bandwidth resources. These SNR levels need to be pre-configured
prior to t... | [
{
"created": "Mon, 3 Jul 2023 13:16:08 GMT",
"version": "v1"
}
] | 2023-07-04 | [
[
"Ding",
"Zhiguo",
""
],
[
"Schober",
"Robert",
""
],
[
"Sharif",
"Bayan",
""
],
[
"Poor",
"and H. Vincent",
""
]
] | An effective way to realize non-orthogonal multiple access (NOMA) assisted grant-free transmission is to first create multiple receive signal-to-noise ratio (SNR) levels and then serve multiple grant-free users by employing these SNR levels as bandwidth resources. These SNR levels need to be pre-configured prior to the... |
2302.08759 | Nieves Montes | Nieves Montes, Nardine Osman, Carles Sierra, Marija Slavkovik | Value Engineering for Autonomous Agents | null | null | null | null | cs.AI cs.MA | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Machine Ethics (ME) is concerned with the design of Artificial Moral Agents
(AMAs), i.e. autonomous agents capable of reasoning and behaving according to
moral values. Previous approaches have treated values as labels associated with
some actions or states of the world, rather than as integral components of
agent rea... | [
{
"created": "Fri, 17 Feb 2023 08:52:15 GMT",
"version": "v1"
}
] | 2023-02-20 | [
[
"Montes",
"Nieves",
""
],
[
"Osman",
"Nardine",
""
],
[
"Sierra",
"Carles",
""
],
[
"Slavkovik",
"Marija",
""
]
] | Machine Ethics (ME) is concerned with the design of Artificial Moral Agents (AMAs), i.e. autonomous agents capable of reasoning and behaving according to moral values. Previous approaches have treated values as labels associated with some actions or states of the world, rather than as integral components of agent reaso... |
1102.5087 | Hironori Uchikawa | Hironori Uchikawa, Kenta Kasai and Kohichi Sakaniwa | Spatially Coupled LDPC Codes for Decode-and-Forward in Erasure Relay
Channel | 7 pages, extended version of ISIT2011 | null | 10.1587/transfun.E94.A.2127 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider spatially-coupled protograph-based LDPC codes for the three
terminal erasure relay channel. It is observed that BP threshold value, the
maximal erasure probability of the channel for which decoding error probability
converges to zero, of spatially-coupled codes, in particular spatially-coupled
MacKay-Neal... | [
{
"created": "Thu, 24 Feb 2011 20:58:43 GMT",
"version": "v1"
},
{
"created": "Sun, 19 Jun 2011 05:56:59 GMT",
"version": "v2"
}
] | 2015-05-27 | [
[
"Uchikawa",
"Hironori",
""
],
[
"Kasai",
"Kenta",
""
],
[
"Sakaniwa",
"Kohichi",
""
]
] | We consider spatially-coupled protograph-based LDPC codes for the three terminal erasure relay channel. It is observed that BP threshold value, the maximal erasure probability of the channel for which decoding error probability converges to zero, of spatially-coupled codes, in particular spatially-coupled MacKay-Neal c... |
2203.09825 | Xin Yuan | Xin Yuan, Yongbing Feng, Mingming Ye, Cheng Tuo, Minghang Zhang | AdaVocoder: Adaptive Vocoder for Custom Voice | Accepted by INTERSPEECH 2022 | null | 10.21437/Interspeech.2022-288 | null | cs.SD cs.CL eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Custom voice is to construct a personal speech synthesis system by adapting
the source speech synthesis model to the target model through the target few
recordings. The solution to constructing a custom voice is to combine an
adaptive acoustic model with a robust vocoder. However, training a robust
vocoder usually re... | [
{
"created": "Fri, 18 Mar 2022 10:03:37 GMT",
"version": "v1"
},
{
"created": "Wed, 4 Jan 2023 09:09:54 GMT",
"version": "v2"
},
{
"created": "Thu, 5 Jan 2023 08:58:18 GMT",
"version": "v3"
}
] | 2023-01-06 | [
[
"Yuan",
"Xin",
""
],
[
"Feng",
"Yongbing",
""
],
[
"Ye",
"Mingming",
""
],
[
"Tuo",
"Cheng",
""
],
[
"Zhang",
"Minghang",
""
]
] | Custom voice is to construct a personal speech synthesis system by adapting the source speech synthesis model to the target model through the target few recordings. The solution to constructing a custom voice is to combine an adaptive acoustic model with a robust vocoder. However, training a robust vocoder usually requ... |
2005.04356 | Yunzhong He | Yunzhong He, Wenyuan Li, Liang-Wei Chen, Gabriel Forgues, Xunlong Gui,
Sui Liang, Bo Hou | A Social Search Model for Large Scale Social Networks | 8 pages, 8 figures | null | null | null | cs.IR cs.LG cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With the rise of social networks, information on the internet is no longer
solely organized by web pages. Rather, content is generated and shared among
users and organized around their social relations on social networks. This
presents new challenges to information retrieval systems. On a social network
search system... | [
{
"created": "Sat, 9 May 2020 02:59:02 GMT",
"version": "v1"
}
] | 2020-05-12 | [
[
"He",
"Yunzhong",
""
],
[
"Li",
"Wenyuan",
""
],
[
"Chen",
"Liang-Wei",
""
],
[
"Forgues",
"Gabriel",
""
],
[
"Gui",
"Xunlong",
""
],
[
"Liang",
"Sui",
""
],
[
"Hou",
"Bo",
""
]
] | With the rise of social networks, information on the internet is no longer solely organized by web pages. Rather, content is generated and shared among users and organized around their social relations on social networks. This presents new challenges to information retrieval systems. On a social network search system, ... |
2306.09546 | Ali Abedi | Ali Abedi, Mobin Malmirian, and Shehroz S. Khan | Cross-Modal Video to Body-joints Augmentation for Rehabilitation
Exercise Quality Assessment | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Exercise-based rehabilitation programs have been shown to enhance quality of
life and reduce mortality and rehospitalizations. AI-driven virtual
rehabilitation programs enable patients to complete exercises independently at
home while AI algorithms can analyze exercise data to provide feedback to
patients and report ... | [
{
"created": "Thu, 15 Jun 2023 23:23:35 GMT",
"version": "v1"
}
] | 2023-06-19 | [
[
"Abedi",
"Ali",
""
],
[
"Malmirian",
"Mobin",
""
],
[
"Khan",
"Shehroz S.",
""
]
] | Exercise-based rehabilitation programs have been shown to enhance quality of life and reduce mortality and rehospitalizations. AI-driven virtual rehabilitation programs enable patients to complete exercises independently at home while AI algorithms can analyze exercise data to provide feedback to patients and report th... |
1802.05027 | Patrick Schwab | Patrick Schwab, Emanuela Keller, Carl Muroi, David J. Mack, Christian
Str\"assle, Walter Karlen | Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical
Care | null | Proceedings of the 35th International Conference on Machine
Learning, PMLR 80:4518-4527, 2018 | null | null | cs.LG cs.AI stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Patients in the intensive care unit (ICU) require constant and close
supervision. To assist clinical staff in this task, hospitals use monitoring
systems that trigger audiovisual alarms if their algorithms indicate that a
patient's condition may be worsening. However, current monitoring systems are
extremely sensitiv... | [
{
"created": "Wed, 14 Feb 2018 10:35:08 GMT",
"version": "v1"
},
{
"created": "Thu, 7 Jun 2018 23:31:24 GMT",
"version": "v2"
}
] | 2020-07-15 | [
[
"Schwab",
"Patrick",
""
],
[
"Keller",
"Emanuela",
""
],
[
"Muroi",
"Carl",
""
],
[
"Mack",
"David J.",
""
],
[
"Strässle",
"Christian",
""
],
[
"Karlen",
"Walter",
""
]
] | Patients in the intensive care unit (ICU) require constant and close supervision. To assist clinical staff in this task, hospitals use monitoring systems that trigger audiovisual alarms if their algorithms indicate that a patient's condition may be worsening. However, current monitoring systems are extremely sensitive ... |
1903.11728 | Jiahui Yu | Jiahui Yu, Thomas Huang | AutoSlim: Towards One-Shot Architecture Search for Channel Numbers | tech report | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study how to set channel numbers in a neural network to achieve better
accuracy under constrained resources (e.g., FLOPs, latency, memory footprint or
model size). A simple and one-shot solution, named AutoSlim, is presented.
Instead of training many network samples and searching with reinforcement
learning, we tr... | [
{
"created": "Wed, 27 Mar 2019 23:17:28 GMT",
"version": "v1"
},
{
"created": "Sat, 1 Jun 2019 03:19:54 GMT",
"version": "v2"
}
] | 2019-06-04 | [
[
"Yu",
"Jiahui",
""
],
[
"Huang",
"Thomas",
""
]
] | We study how to set channel numbers in a neural network to achieve better accuracy under constrained resources (e.g., FLOPs, latency, memory footprint or model size). A simple and one-shot solution, named AutoSlim, is presented. Instead of training many network samples and searching with reinforcement learning, we trai... |
2210.15107 | Xiaoyang Huang | Xiaoyang Huang, Yi Zhang, Bingbing Ni, Teng Li, Kai Chen, Wenjun Zhang | Boosting Point Clouds Rendering via Radiance Mapping | Accepted by Thirty-Seventh AAAI Conference on Artificial Intelligence
(AAAI 2023) | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Recent years we have witnessed rapid development in NeRF-based image
rendering due to its high quality. However, point clouds rendering is somehow
less explored. Compared to NeRF-based rendering which suffers from dense
spatial sampling, point clouds rendering is naturally less computation
intensive, which enables it... | [
{
"created": "Thu, 27 Oct 2022 01:25:57 GMT",
"version": "v1"
},
{
"created": "Thu, 8 Dec 2022 01:52:34 GMT",
"version": "v2"
}
] | 2022-12-09 | [
[
"Huang",
"Xiaoyang",
""
],
[
"Zhang",
"Yi",
""
],
[
"Ni",
"Bingbing",
""
],
[
"Li",
"Teng",
""
],
[
"Chen",
"Kai",
""
],
[
"Zhang",
"Wenjun",
""
]
] | Recent years we have witnessed rapid development in NeRF-based image rendering due to its high quality. However, point clouds rendering is somehow less explored. Compared to NeRF-based rendering which suffers from dense spatial sampling, point clouds rendering is naturally less computation intensive, which enables its ... |
1605.02424 | Hailin Shi | Hailin Shi, Xiangyu Zhu, Zhen Lei, Shengcai Liao, Stan Z. Li | Learning Discriminative Features with Class Encoder | Accepted by CVPR2016 Workshop of Robust Features for Computer Vision | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep neural networks usually benefit from unsupervised pre-training, e.g.
auto-encoders. However, the classifier further needs supervised fine-tuning
methods for good discrimination. Besides, due to the limits of full-connection,
the application of auto-encoders is usually limited to small, well aligned
images. In th... | [
{
"created": "Mon, 9 May 2016 06:04:14 GMT",
"version": "v1"
}
] | 2016-05-10 | [
[
"Shi",
"Hailin",
""
],
[
"Zhu",
"Xiangyu",
""
],
[
"Lei",
"Zhen",
""
],
[
"Liao",
"Shengcai",
""
],
[
"Li",
"Stan Z.",
""
]
] | Deep neural networks usually benefit from unsupervised pre-training, e.g. auto-encoders. However, the classifier further needs supervised fine-tuning methods for good discrimination. Besides, due to the limits of full-connection, the application of auto-encoders is usually limited to small, well aligned images. In this... |
1311.4033 | Omprakash Patel | Omprakash Patel, Yogendra P. S. Maravi and Sanjeev Sharma | A Comparative Study of Histogram Equalization Based Image Enhancement
Techniques for Brightness Preservation and Contrast Enhancement | 15 pages, 5 figures, 4 tables, Signal & Image Processing : An
International Journal (SIPIJ) | Signal & Image Processing : An International Journal (SIPIJ)
Vol.4, No.5, October 2013 | 10.5121/sipij.2013.4502 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Histogram Equalization is a contrast enhancement technique in the image
processing which uses the histogram of image. However histogram equalization is
not the best method for contrast enhancement because the mean brightness of the
output image is significantly different from the input image. There are several
extens... | [
{
"created": "Sat, 16 Nov 2013 08:10:56 GMT",
"version": "v1"
}
] | 2013-11-19 | [
[
"Patel",
"Omprakash",
""
],
[
"Maravi",
"Yogendra P. S.",
""
],
[
"Sharma",
"Sanjeev",
""
]
] | Histogram Equalization is a contrast enhancement technique in the image processing which uses the histogram of image. However histogram equalization is not the best method for contrast enhancement because the mean brightness of the output image is significantly different from the input image. There are several extensio... |
2110.11709 | Jose Emilio Labra Gayo | Jose Emilio Labra Gayo | Creating Knowledge Graphs Subsets using Shape Expressions | null | null | null | null | cs.DB cs.AI | http://creativecommons.org/licenses/by/4.0/ | The initial adoption of knowledge graphs by Google and later by big companies
has increased their adoption and popularity. In this paper we present a formal
model for three different types of knowledge graphs which we call RDF-based
graphs, property graphs and wikibase graphs. In order to increase the quality
of Know... | [
{
"created": "Fri, 22 Oct 2021 11:10:12 GMT",
"version": "v1"
},
{
"created": "Mon, 25 Oct 2021 11:17:52 GMT",
"version": "v2"
},
{
"created": "Tue, 26 Oct 2021 11:03:25 GMT",
"version": "v3"
}
] | 2021-10-27 | [
[
"Gayo",
"Jose Emilio Labra",
""
]
] | The initial adoption of knowledge graphs by Google and later by big companies has increased their adoption and popularity. In this paper we present a formal model for three different types of knowledge graphs which we call RDF-based graphs, property graphs and wikibase graphs. In order to increase the quality of Knowle... |
2212.06376 | Gabin An | Gabin An, Jingun Hong, Naryeong Kim, Shin Yoo | Fonte: Finding Bug Inducing Commits from Failures | 13 pages, 10 figures, 5 tables (to be published in ICSE'23) | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A Bug Inducing Commit (BIC) is a commit that introduces a software bug into
the codebase. Knowing the relevant BIC for a given bug can provide valuable
information for debugging as well as bug triaging. However, existing BIC
identification techniques are either too expensive (because they require the
failing tests to... | [
{
"created": "Tue, 13 Dec 2022 05:20:24 GMT",
"version": "v1"
},
{
"created": "Tue, 7 Feb 2023 08:53:48 GMT",
"version": "v2"
},
{
"created": "Wed, 15 Feb 2023 02:14:17 GMT",
"version": "v3"
}
] | 2023-02-16 | [
[
"An",
"Gabin",
""
],
[
"Hong",
"Jingun",
""
],
[
"Kim",
"Naryeong",
""
],
[
"Yoo",
"Shin",
""
]
] | A Bug Inducing Commit (BIC) is a commit that introduces a software bug into the codebase. Knowing the relevant BIC for a given bug can provide valuable information for debugging as well as bug triaging. However, existing BIC identification techniques are either too expensive (because they require the failing tests to b... |
1312.6214 | Elad Hazan | Elad Hazan and Zohar Karnin and Raghu Mehka | Volumetric Spanners: an Efficient Exploration Basis for Learning | null | null | null | null | cs.LG cs.AI cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Numerous machine learning problems require an exploration basis - a mechanism
to explore the action space. We define a novel geometric notion of exploration
basis with low variance, called volumetric spanners, and give efficient
algorithms to construct such a basis.
We show how efficient volumetric spanners give ri... | [
{
"created": "Sat, 21 Dec 2013 06:51:50 GMT",
"version": "v1"
},
{
"created": "Sun, 26 Jan 2014 12:16:59 GMT",
"version": "v2"
},
{
"created": "Sun, 25 May 2014 11:57:08 GMT",
"version": "v3"
}
] | 2014-05-27 | [
[
"Hazan",
"Elad",
""
],
[
"Karnin",
"Zohar",
""
],
[
"Mehka",
"Raghu",
""
]
] | Numerous machine learning problems require an exploration basis - a mechanism to explore the action space. We define a novel geometric notion of exploration basis with low variance, called volumetric spanners, and give efficient algorithms to construct such a basis. We show how efficient volumetric spanners give rise t... |
2211.12824 | Tsu-Jui Fu | Tsu-Jui Fu, Licheng Yu, Ning Zhang, Cheng-Yang Fu, Jong-Chyi Su,
William Yang Wang, Sean Bell | Tell Me What Happened: Unifying Text-guided Video Completion via
Multimodal Masked Video Generation | CVPR'23 | null | null | null | cs.CV cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Generating a video given the first several static frames is challenging as it
anticipates reasonable future frames with temporal coherence. Besides video
prediction, the ability to rewind from the last frame or infilling between the
head and tail is also crucial, but they have rarely been explored for video
completio... | [
{
"created": "Wed, 23 Nov 2022 10:14:12 GMT",
"version": "v1"
},
{
"created": "Wed, 22 Mar 2023 07:20:06 GMT",
"version": "v2"
}
] | 2023-03-23 | [
[
"Fu",
"Tsu-Jui",
""
],
[
"Yu",
"Licheng",
""
],
[
"Zhang",
"Ning",
""
],
[
"Fu",
"Cheng-Yang",
""
],
[
"Su",
"Jong-Chyi",
""
],
[
"Wang",
"William Yang",
""
],
[
"Bell",
"Sean",
""
]
] | Generating a video given the first several static frames is challenging as it anticipates reasonable future frames with temporal coherence. Besides video prediction, the ability to rewind from the last frame or infilling between the head and tail is also crucial, but they have rarely been explored for video completion.... |
2007.15801 | Jaehoon Lee | Jaehoon Lee, Samuel S. Schoenholz, Jeffrey Pennington, Ben Adlam,
Lechao Xiao, Roman Novak, Jascha Sohl-Dickstein | Finite Versus Infinite Neural Networks: an Empirical Study | 17+11 pages; v2 references added, minor improvements | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We perform a careful, thorough, and large scale empirical study of the
correspondence between wide neural networks and kernel methods. By doing so, we
resolve a variety of open questions related to the study of infinitely wide
neural networks. Our experimental results include: kernel methods outperform
fully-connecte... | [
{
"created": "Fri, 31 Jul 2020 01:57:47 GMT",
"version": "v1"
},
{
"created": "Tue, 8 Sep 2020 06:25:57 GMT",
"version": "v2"
}
] | 2020-09-09 | [
[
"Lee",
"Jaehoon",
""
],
[
"Schoenholz",
"Samuel S.",
""
],
[
"Pennington",
"Jeffrey",
""
],
[
"Adlam",
"Ben",
""
],
[
"Xiao",
"Lechao",
""
],
[
"Novak",
"Roman",
""
],
[
"Sohl-Dickstein",
"Jascha",
""
]
] | We perform a careful, thorough, and large scale empirical study of the correspondence between wide neural networks and kernel methods. By doing so, we resolve a variety of open questions related to the study of infinitely wide neural networks. Our experimental results include: kernel methods outperform fully-connected ... |
1609.09224 | Chenhao Qu | Chenhao Qu, Rodrigo N. Calheiros, Rajkumar Buyya | Auto-scaling Web Applications in Clouds: A Taxonomy and Survey | null | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Web application providers have been migrating their applications to cloud
data centers, attracted by the emerging cloud computing paradigm. One of the
appealing features of the cloud is elasticity. It allows cloud users to acquire
or release computing resources on-demand, which enables web application
providers to au... | [
{
"created": "Thu, 29 Sep 2016 06:59:03 GMT",
"version": "v1"
},
{
"created": "Thu, 13 Oct 2016 03:57:05 GMT",
"version": "v2"
},
{
"created": "Sun, 27 Nov 2016 02:27:34 GMT",
"version": "v3"
},
{
"created": "Mon, 12 Dec 2016 01:06:32 GMT",
"version": "v4"
},
{
"c... | 2017-09-15 | [
[
"Qu",
"Chenhao",
""
],
[
"Calheiros",
"Rodrigo N.",
""
],
[
"Buyya",
"Rajkumar",
""
]
] | Web application providers have been migrating their applications to cloud data centers, attracted by the emerging cloud computing paradigm. One of the appealing features of the cloud is elasticity. It allows cloud users to acquire or release computing resources on-demand, which enables web application providers to auto... |
1411.1446 | Wei Wang | Wei Wang | Electrocardiography Separation of Mother and Baby | null | null | null | null | cs.CV cs.LG | http://creativecommons.org/licenses/by/3.0/ | Extraction of Electrocardiography (ECG or EKG) signals of mother and baby is
a challenging task, because one single device is used and it receives a mixture
of multiple heart beats. In this paper, we would like to design a filter to
separate the signals from each other.
| [
{
"created": "Wed, 5 Nov 2014 23:14:10 GMT",
"version": "v1"
}
] | 2014-11-07 | [
[
"Wang",
"Wei",
""
]
] | Extraction of Electrocardiography (ECG or EKG) signals of mother and baby is a challenging task, because one single device is used and it receives a mixture of multiple heart beats. In this paper, we would like to design a filter to separate the signals from each other. |
1910.13689 | Laurent Besacier | Ha Nguyen and Natalia Tomashenko and Marcely Zanon Boito and Antoine
Caubriere and Fethi Bougares and Mickael Rouvier and Laurent Besacier and
Yannick Esteve | ON-TRAC Consortium End-to-End Speech Translation Systems for the IWSLT
2019 Shared Task | IWSLT 2019 - First two authors contributed equally to this work | null | null | null | cs.CL cs.SD eess.AS | http://creativecommons.org/licenses/by-nc-sa/4.0/ | This paper describes the ON-TRAC Consortium translation systems developed for
the end-to-end model task of IWSLT Evaluation 2019 for the
English-to-Portuguese language pair. ON-TRAC Consortium is composed of
researchers from three French academic laboratories: LIA (Avignon
Universit\'e), LIG (Universit\'e Grenoble Al... | [
{
"created": "Wed, 30 Oct 2019 06:11:15 GMT",
"version": "v1"
}
] | 2019-10-31 | [
[
"Nguyen",
"Ha",
""
],
[
"Tomashenko",
"Natalia",
""
],
[
"Boito",
"Marcely Zanon",
""
],
[
"Caubriere",
"Antoine",
""
],
[
"Bougares",
"Fethi",
""
],
[
"Rouvier",
"Mickael",
""
],
[
"Besacier",
"Laurent",
"... | This paper describes the ON-TRAC Consortium translation systems developed for the end-to-end model task of IWSLT Evaluation 2019 for the English-to-Portuguese language pair. ON-TRAC Consortium is composed of researchers from three French academic laboratories: LIA (Avignon Universit\'e), LIG (Universit\'e Grenoble Alpe... |
2305.00618 | Carl Brando | Carl Brando, Minseong Park, Sayma Nowshin Chowdhury, Matthew Chen,
Kyusang Lee, Sahil Shah | Modeling and Analysis of Analog Non-Volatile Devices for
Compute-In-Memory Applications | Submitted to MWSCAS 2023. 5 pages, 4 figures, 1 table | null | null | null | cs.AR | http://creativecommons.org/licenses/by/4.0/ | This paper introduces a novel simulation tool for analyzing and training
neural network models tailored for compute-in-memory hardware. The tool
leverages physics-based device models to enable the design of neural network
models and their parameters that are more hardware-accurate. The initial study
focused on modeli... | [
{
"created": "Mon, 1 May 2023 01:25:50 GMT",
"version": "v1"
}
] | 2023-05-02 | [
[
"Brando",
"Carl",
""
],
[
"Park",
"Minseong",
""
],
[
"Chowdhury",
"Sayma Nowshin",
""
],
[
"Chen",
"Matthew",
""
],
[
"Lee",
"Kyusang",
""
],
[
"Shah",
"Sahil",
""
]
] | This paper introduces a novel simulation tool for analyzing and training neural network models tailored for compute-in-memory hardware. The tool leverages physics-based device models to enable the design of neural network models and their parameters that are more hardware-accurate. The initial study focused on modeling... |
1605.06560 | Lei Shi | Lei Shi and Shikun Feng and Zhifan Zhu | Functional Hashing for Compressing Neural Networks | submitted to NIPS 2016 | null | null | null | cs.LG cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | As the complexity of deep neural networks (DNNs) trend to grow to absorb the
increasing sizes of data, memory and energy consumption has been receiving more
and more attentions for industrial applications, especially on mobile devices.
This paper presents a novel structure based on functional hashing to compress
DNNs... | [
{
"created": "Fri, 20 May 2016 23:44:19 GMT",
"version": "v1"
}
] | 2019-12-19 | [
[
"Shi",
"Lei",
""
],
[
"Feng",
"Shikun",
""
],
[
"Zhu",
"Zhifan",
""
]
] | As the complexity of deep neural networks (DNNs) trend to grow to absorb the increasing sizes of data, memory and energy consumption has been receiving more and more attentions for industrial applications, especially on mobile devices. This paper presents a novel structure based on functional hashing to compress DNNs, ... |
1906.06430 | Abdullah-Al-Zubaer Imran | Abdullah-Al-Zubaer Imran and Demetri Terzopoulos | Multi-Adversarial Variational Autoencoder Networks | null | null | null | null | cs.LG cs.CV stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The unsupervised training of GANs and VAEs has enabled them to generate
realistic images mimicking real-world distributions and perform image-based
unsupervised clustering or semi-supervised classification. Combining the power
of these two generative models, we introduce Multi-Adversarial Variational
autoEncoder Netw... | [
{
"created": "Fri, 14 Jun 2019 23:04:44 GMT",
"version": "v1"
}
] | 2019-06-18 | [
[
"Imran",
"Abdullah-Al-Zubaer",
""
],
[
"Terzopoulos",
"Demetri",
""
]
] | The unsupervised training of GANs and VAEs has enabled them to generate realistic images mimicking real-world distributions and perform image-based unsupervised clustering or semi-supervised classification. Combining the power of these two generative models, we introduce Multi-Adversarial Variational autoEncoder Networ... |
1212.1002 | Yuri Monakhov | Konstantin Abramov, Yuri Monakhov | Stochastic Models of Misinformation Distribution in Online Social
Networks | 4 pages, 1 figure, 1 table | null | null | null | cs.SI physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This report contains results of an experimental study of the distribution of
misinformation in online social networks (OSNs). We consider the classification
of the topologies of OSNs and analyze the parameters identified in order to
relate the topology of a real network with one of the classes. We propose an
algorith... | [
{
"created": "Wed, 5 Dec 2012 12:07:05 GMT",
"version": "v1"
}
] | 2012-12-06 | [
[
"Abramov",
"Konstantin",
""
],
[
"Monakhov",
"Yuri",
""
]
] | This report contains results of an experimental study of the distribution of misinformation in online social networks (OSNs). We consider the classification of the topologies of OSNs and analyze the parameters identified in order to relate the topology of a real network with one of the classes. We propose an algorithm ... |
2006.15968 | Moritz Vinzent Seiler | Moritz Seiler and Janina Pohl and Jakob Bossek and Pascal Kerschke and
Heike Trautmann | Deep Learning as a Competitive Feature-Free Approach for Automated
Algorithm Selection on the Traveling Salesperson Problem | This version has been accepted for publication at the Parallel
Problem Solving from Nature (PPSN) 2020 | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work we focus on the well-known Euclidean Traveling Salesperson
Problem (TSP) and two highly competitive inexact heuristic TSP solvers, EAX and
LKH, in the context of per-instance algorithm selection (AS). We evolve
instances with 1,000 nodes where the solvers show strongly different
performance profiles. The... | [
{
"created": "Mon, 29 Jun 2020 12:15:35 GMT",
"version": "v1"
}
] | 2020-06-30 | [
[
"Seiler",
"Moritz",
""
],
[
"Pohl",
"Janina",
""
],
[
"Bossek",
"Jakob",
""
],
[
"Kerschke",
"Pascal",
""
],
[
"Trautmann",
"Heike",
""
]
] | In this work we focus on the well-known Euclidean Traveling Salesperson Problem (TSP) and two highly competitive inexact heuristic TSP solvers, EAX and LKH, in the context of per-instance algorithm selection (AS). We evolve instances with 1,000 nodes where the solvers show strongly different performance profiles. These... |
2309.15367 | Xinran Li | Xinran Li, Shuaikang Zheng, Pengcheng Zheng, Haifeng Zhang, Zhitian
Li, Xudong Zou | Analysis on Multi-robot Relative 6-DOF Pose Estimation Error Based on
UWB Range | 7 pages, 9 figures | null | null | null | cs.RO cs.SY eess.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Relative pose estimation is the foundational requirement for multi-robot
system, while it is a challenging research topic in infrastructure-free scenes.
In this study, we analyze the relative 6-DOF pose estimation error of
multi-robot system in GNSS-denied and anchor-free environment. An analytical
lower bound of pos... | [
{
"created": "Wed, 27 Sep 2023 02:40:46 GMT",
"version": "v1"
}
] | 2023-09-28 | [
[
"Li",
"Xinran",
""
],
[
"Zheng",
"Shuaikang",
""
],
[
"Zheng",
"Pengcheng",
""
],
[
"Zhang",
"Haifeng",
""
],
[
"Li",
"Zhitian",
""
],
[
"Zou",
"Xudong",
""
]
] | Relative pose estimation is the foundational requirement for multi-robot system, while it is a challenging research topic in infrastructure-free scenes. In this study, we analyze the relative 6-DOF pose estimation error of multi-robot system in GNSS-denied and anchor-free environment. An analytical lower bound of posit... |
2206.04453 | Jasper Uijlings | Jasper Uijlings, Thomas Mensink, Vittorio Ferrari | The Missing Link: Finding label relations across datasets | ECCV 2022 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Computer vision is driven by the many datasets available for training or
evaluating novel methods. However, each dataset has a different set of class
labels, visual definition of classes, images following a specific distribution,
annotation protocols, etc. In this paper we explore the automatic discovery of
visual-se... | [
{
"created": "Thu, 9 Jun 2022 12:25:25 GMT",
"version": "v1"
},
{
"created": "Tue, 9 Aug 2022 13:30:40 GMT",
"version": "v2"
}
] | 2022-08-10 | [
[
"Uijlings",
"Jasper",
""
],
[
"Mensink",
"Thomas",
""
],
[
"Ferrari",
"Vittorio",
""
]
] | Computer vision is driven by the many datasets available for training or evaluating novel methods. However, each dataset has a different set of class labels, visual definition of classes, images following a specific distribution, annotation protocols, etc. In this paper we explore the automatic discovery of visual-sema... |
2311.09641 | Jiongxiao Wang | Jiongxiao Wang, Junlin Wu, Muhao Chen, Yevgeniy Vorobeychik, Chaowei
Xiao | RLHFPoison: Reward Poisoning Attack for Reinforcement Learning with
Human Feedback in Large Language Models | null | null | null | null | cs.AI cs.CL cs.CR cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Reinforcement Learning with Human Feedback (RLHF) is a methodology designed
to align Large Language Models (LLMs) with human preferences, playing an
important role in LLMs alignment. Despite its advantages, RLHF relies on human
annotators to rank the text, which can introduce potential security
vulnerabilities if any... | [
{
"created": "Thu, 16 Nov 2023 07:48:45 GMT",
"version": "v1"
},
{
"created": "Wed, 19 Jun 2024 22:40:07 GMT",
"version": "v2"
}
] | 2024-06-21 | [
[
"Wang",
"Jiongxiao",
""
],
[
"Wu",
"Junlin",
""
],
[
"Chen",
"Muhao",
""
],
[
"Vorobeychik",
"Yevgeniy",
""
],
[
"Xiao",
"Chaowei",
""
]
] | Reinforcement Learning with Human Feedback (RLHF) is a methodology designed to align Large Language Models (LLMs) with human preferences, playing an important role in LLMs alignment. Despite its advantages, RLHF relies on human annotators to rank the text, which can introduce potential security vulnerabilities if any a... |
1111.0595 | Shurui Huang | Shurui Huang and Aditya Ramamoorthy | An achievable region for the double unicast problem based on a minimum
cut analysis | ITW, 2011 | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the multiple unicast problem under network coding over directed
acyclic networks when there are two source-terminal pairs, $s_1-t_1$ and
$s_2-t_2$. Current characterizations of the multiple unicast capacity region in
this setting have a large number of inequalities, which makes them hard to
explicitly eva... | [
{
"created": "Wed, 2 Nov 2011 18:22:44 GMT",
"version": "v1"
}
] | 2011-11-03 | [
[
"Huang",
"Shurui",
""
],
[
"Ramamoorthy",
"Aditya",
""
]
] | We consider the multiple unicast problem under network coding over directed acyclic networks when there are two source-terminal pairs, $s_1-t_1$ and $s_2-t_2$. Current characterizations of the multiple unicast capacity region in this setting have a large number of inequalities, which makes them hard to explicitly evalu... |
1604.04706 | Parameswaran Raman | Parameswaran Raman, Sriram Srinivasan, Shin Matsushima, Xinhua Zhang,
Hyokun Yun, S.V.N. Vishwanathan | DS-MLR: Exploiting Double Separability for Scaling up Distributed
Multinomial Logistic Regression | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Scaling multinomial logistic regression to datasets with very large number of
data points and classes is challenging. This is primarily because one needs to
compute the log-partition function on every data point. This makes distributing
the computation hard. In this paper, we present a distributed stochastic
gradient... | [
{
"created": "Sat, 16 Apr 2016 07:26:58 GMT",
"version": "v1"
},
{
"created": "Fri, 31 Mar 2017 18:45:59 GMT",
"version": "v2"
},
{
"created": "Tue, 23 May 2017 08:06:02 GMT",
"version": "v3"
},
{
"created": "Thu, 15 Feb 2018 01:02:54 GMT",
"version": "v4"
},
{
"c... | 2018-08-07 | [
[
"Raman",
"Parameswaran",
""
],
[
"Srinivasan",
"Sriram",
""
],
[
"Matsushima",
"Shin",
""
],
[
"Zhang",
"Xinhua",
""
],
[
"Yun",
"Hyokun",
""
],
[
"Vishwanathan",
"S. V. N.",
""
]
] | Scaling multinomial logistic regression to datasets with very large number of data points and classes is challenging. This is primarily because one needs to compute the log-partition function on every data point. This makes distributing the computation hard. In this paper, we present a distributed stochastic gradient d... |
1305.1221 | Mario Blaum | Mario Blaum and James S. Plank | Construction of two SD Codes | 8 pages. arXiv admin note: text overlap with arXiv:1305.0032 | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | SD codes are erasure codes that address the mixed failure mode of current
RAID systems. Rather than dedicate entire disks to erasure coding, as done in
RAID-5, RAID-6 and Reed-Solomon coding, an SD code dedicates entire disks, plus
individual sectors to erasure coding. The code then tolerates combinations of
disk and... | [
{
"created": "Mon, 6 May 2013 15:30:31 GMT",
"version": "v1"
}
] | 2013-05-07 | [
[
"Blaum",
"Mario",
""
],
[
"Plank",
"James S.",
""
]
] | SD codes are erasure codes that address the mixed failure mode of current RAID systems. Rather than dedicate entire disks to erasure coding, as done in RAID-5, RAID-6 and Reed-Solomon coding, an SD code dedicates entire disks, plus individual sectors to erasure coding. The code then tolerates combinations of disk and s... |
2305.15263 | Michael Hahsler | Michael Hahsler | ARULESPY: Exploring Association Rules and Frequent Itemsets in Python | null | null | null | null | cs.DB | http://creativecommons.org/licenses/by-sa/4.0/ | The R arules package implements a comprehensive infrastructure for
representing, manipulating, and analyzing transaction data and patterns using
frequent itemsets and association rules. The package also provides a wide range
of interest measures and mining algorithms, including the code of Christian
Borgelt's popular... | [
{
"created": "Wed, 24 May 2023 15:52:01 GMT",
"version": "v1"
}
] | 2023-05-25 | [
[
"Hahsler",
"Michael",
""
]
] | The R arules package implements a comprehensive infrastructure for representing, manipulating, and analyzing transaction data and patterns using frequent itemsets and association rules. The package also provides a wide range of interest measures and mining algorithms, including the code of Christian Borgelt's popular a... |
2403.02140 | Nathan Sheffield | Anna Brandenberger, Byron Chin, Nathan S. Sheffield and Divya Shyamal | Matching Algorithms in the Sparse Stochastic Block Model | 28 pages | null | null | null | cs.DS cs.DM | http://creativecommons.org/licenses/by/4.0/ | The stochastic block model (SBM) is a generalization of the
Erd\H{o}s--R\'enyi model of random graphs that describes the interaction of a
finite number of distinct communities. In sparse Erd\H{o}s--R\'enyi graphs, it
is known that a linear-time algorithm of Karp and Sipser achieves near-optimal
matching sizes asympto... | [
{
"created": "Mon, 4 Mar 2024 15:50:17 GMT",
"version": "v1"
}
] | 2024-03-05 | [
[
"Brandenberger",
"Anna",
""
],
[
"Chin",
"Byron",
""
],
[
"Sheffield",
"Nathan S.",
""
],
[
"Shyamal",
"Divya",
""
]
] | The stochastic block model (SBM) is a generalization of the Erd\H{o}s--R\'enyi model of random graphs that describes the interaction of a finite number of distinct communities. In sparse Erd\H{o}s--R\'enyi graphs, it is known that a linear-time algorithm of Karp and Sipser achieves near-optimal matching sizes asymptoti... |
1606.00202 | Nicola Bui | Nicola Bui and Joerg Widmer | OWL: a Reliable Online Watcher for LTE Control Channel Measurements | 6 pages, 4 figures, to appear in all things cellular 2016 | null | null | null | cs.NI cs.PF | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Reliable network measurements are a fundamental component of networking
research as they enable network analysis, system debugging, performance
evaluation and optimization. In particular, decoding the LTE control channel
would give access to the full base station traffic at a 1 ms granularity, thus
allowing for traff... | [
{
"created": "Wed, 1 Jun 2016 10:03:13 GMT",
"version": "v1"
},
{
"created": "Fri, 5 Aug 2016 09:05:34 GMT",
"version": "v2"
}
] | 2016-08-08 | [
[
"Bui",
"Nicola",
""
],
[
"Widmer",
"Joerg",
""
]
] | Reliable network measurements are a fundamental component of networking research as they enable network analysis, system debugging, performance evaluation and optimization. In particular, decoding the LTE control channel would give access to the full base station traffic at a 1 ms granularity, thus allowing for traffic... |
1911.09554 | Pedro Henrique da Costa Avelar | Pedro H. C. Avelar, Anderson R. Tavares, Marco Gori, Luis C. Lamb | Discrete and Continuous Deep Residual Learning Over Graphs | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we propose the use of continuous residual modules for graph
kernels in Graph Neural Networks. We show how both discrete and continuous
residual layers allow for more robust training, being that continuous residual
layers are those which are applied by integrating through an Ordinary
Differential Equatio... | [
{
"created": "Thu, 21 Nov 2019 15:48:15 GMT",
"version": "v1"
},
{
"created": "Tue, 26 Nov 2019 11:15:03 GMT",
"version": "v2"
}
] | 2019-11-27 | [
[
"Avelar",
"Pedro H. C.",
""
],
[
"Tavares",
"Anderson R.",
""
],
[
"Gori",
"Marco",
""
],
[
"Lamb",
"Luis C.",
""
]
] | In this paper we propose the use of continuous residual modules for graph kernels in Graph Neural Networks. We show how both discrete and continuous residual layers allow for more robust training, being that continuous residual layers are those which are applied by integrating through an Ordinary Differential Equation ... |
2306.03436 | Sen Peng | Sen Peng, Yufei Chen, Cong Wang, Xiaohua Jia | Intellectual Property Protection of Diffusion Models via the Watermark
Diffusion Process | null | null | null | null | cs.CR cs.LG | http://creativecommons.org/licenses/by/4.0/ | Diffusion models have rapidly become a vital part of deep generative
architectures, given today's increasing demands. Obtaining large,
high-performance diffusion models demands significant resources, highlighting
their importance as intellectual property worth protecting. However, existing
watermarking techniques for... | [
{
"created": "Tue, 6 Jun 2023 06:31:07 GMT",
"version": "v1"
},
{
"created": "Wed, 29 Nov 2023 14:10:59 GMT",
"version": "v2"
}
] | 2023-11-30 | [
[
"Peng",
"Sen",
""
],
[
"Chen",
"Yufei",
""
],
[
"Wang",
"Cong",
""
],
[
"Jia",
"Xiaohua",
""
]
] | Diffusion models have rapidly become a vital part of deep generative architectures, given today's increasing demands. Obtaining large, high-performance diffusion models demands significant resources, highlighting their importance as intellectual property worth protecting. However, existing watermarking techniques for o... |
2110.00857 | Yahya H. Ezzeldin | Yahya H. Ezzeldin, Shen Yan, Chaoyang He, Emilio Ferrara, Salman
Avestimehr | FairFed: Enabling Group Fairness in Federated Learning | Accepted to appeat at AAAI 2023 | null | null | null | cs.LG cs.CY | http://creativecommons.org/licenses/by/4.0/ | Training ML models which are fair across different demographic groups is of
critical importance due to the increased integration of ML in crucial
decision-making scenarios such as healthcare and recruitment. Federated
learning has been viewed as a promising solution for collaboratively training
machine learning model... | [
{
"created": "Sat, 2 Oct 2021 17:55:20 GMT",
"version": "v1"
},
{
"created": "Mon, 18 Apr 2022 16:41:50 GMT",
"version": "v2"
},
{
"created": "Wed, 23 Nov 2022 22:44:39 GMT",
"version": "v3"
}
] | 2022-11-28 | [
[
"Ezzeldin",
"Yahya H.",
""
],
[
"Yan",
"Shen",
""
],
[
"He",
"Chaoyang",
""
],
[
"Ferrara",
"Emilio",
""
],
[
"Avestimehr",
"Salman",
""
]
] | Training ML models which are fair across different demographic groups is of critical importance due to the increased integration of ML in crucial decision-making scenarios such as healthcare and recruitment. Federated learning has been viewed as a promising solution for collaboratively training machine learning models ... |
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