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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1705.09772 | Hazim Shakhatreh | Hazim Shakhatreh and Abdallah Khreishah | Maximizing Indoor Wireless Coverage Using UAVs Equipped with Directional
Antennas | 19 pages, 17 figures | null | null | null | cs.IT math.IT | http://creativecommons.org/licenses/by/4.0/ | Unmanned aerial vehicles (UAVs) can be used to provide wireless coverage
during emergency cases where each UAV serves as an aerial wireless base station
when the cellular network goes down. They can also be used to supplement the
ground base station in order to provide better coverage and higher data rates
for the us... | [
{
"created": "Sat, 27 May 2017 06:17:55 GMT",
"version": "v1"
}
] | 2017-05-30 | [
[
"Shakhatreh",
"Hazim",
""
],
[
"Khreishah",
"Abdallah",
""
]
] | Unmanned aerial vehicles (UAVs) can be used to provide wireless coverage during emergency cases where each UAV serves as an aerial wireless base station when the cellular network goes down. They can also be used to supplement the ground base station in order to provide better coverage and higher data rates for the user... |
2008.09775 | Qiang Liu | Zhaocheng Liu and Qiang Liu and Haoli Zhang and Yuntian Chen | DNN2LR: Interpretation-inspired Feature Crossing for Real-world Tabular
Data | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | For sake of reliability, it is necessary for models in real-world
applications to be both powerful and globally interpretable. Simple
classifiers, e.g., Logistic Regression (LR), are globally interpretable, but
not powerful enough to model complex nonlinear interactions among features in
tabular data. Meanwhile, Deep... | [
{
"created": "Sat, 22 Aug 2020 08:03:15 GMT",
"version": "v1"
},
{
"created": "Mon, 21 Sep 2020 08:28:48 GMT",
"version": "v2"
},
{
"created": "Tue, 10 Nov 2020 04:55:49 GMT",
"version": "v3"
},
{
"created": "Wed, 16 Dec 2020 10:30:34 GMT",
"version": "v4"
},
{
"c... | 2021-01-20 | [
[
"Liu",
"Zhaocheng",
""
],
[
"Liu",
"Qiang",
""
],
[
"Zhang",
"Haoli",
""
],
[
"Chen",
"Yuntian",
""
]
] | For sake of reliability, it is necessary for models in real-world applications to be both powerful and globally interpretable. Simple classifiers, e.g., Logistic Regression (LR), are globally interpretable, but not powerful enough to model complex nonlinear interactions among features in tabular data. Meanwhile, Deep N... |
2012.09092 | Chaochao Lu | Chaochao Lu, Biwei Huang, Ke Wang, Jos\'e Miguel Hern\'andez-Lobato,
Kun Zhang, Bernhard Sch\"olkopf | Sample-Efficient Reinforcement Learning via Counterfactual-Based Data
Augmentation | Neural Information Processing Systems Workshop on Offline
Reinforcement Learning | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Reinforcement learning (RL) algorithms usually require a substantial amount
of interaction data and perform well only for specific tasks in a fixed
environment. In some scenarios such as healthcare, however, usually only few
records are available for each patient, and patients may show different
responses to the same... | [
{
"created": "Wed, 16 Dec 2020 17:21:13 GMT",
"version": "v1"
}
] | 2020-12-17 | [
[
"Lu",
"Chaochao",
""
],
[
"Huang",
"Biwei",
""
],
[
"Wang",
"Ke",
""
],
[
"Hernández-Lobato",
"José Miguel",
""
],
[
"Zhang",
"Kun",
""
],
[
"Schölkopf",
"Bernhard",
""
]
] | Reinforcement learning (RL) algorithms usually require a substantial amount of interaction data and perform well only for specific tasks in a fixed environment. In some scenarios such as healthcare, however, usually only few records are available for each patient, and patients may show different responses to the same t... |
2003.01793 | Romain Lebreton | Eleonora Guerrini, Romain Lebreton, Ilaria Zappatore | Enhancing simultaneous rational function recovery: adaptive error
correction capability and new bounds for applications | null | null | null | null | cs.IT cs.SC math.IT | http://creativecommons.org/licenses/by-sa/4.0/ | In this work we present some results that allow to improve the decoding
radius in solving polynomial linear systems with errors in the scenario where
errors are additive and randomly distributed over a finite field. The decoding
radius depends on some bounds on the solution that we want to recover, so their
overestim... | [
{
"created": "Tue, 3 Mar 2020 21:01:51 GMT",
"version": "v1"
}
] | 2020-03-05 | [
[
"Guerrini",
"Eleonora",
""
],
[
"Lebreton",
"Romain",
""
],
[
"Zappatore",
"Ilaria",
""
]
] | In this work we present some results that allow to improve the decoding radius in solving polynomial linear systems with errors in the scenario where errors are additive and randomly distributed over a finite field. The decoding radius depends on some bounds on the solution that we want to recover, so their overestimat... |
1909.00557 | Ye Yu | Ye Yu, and Niraj K. Jha | SPRING: A Sparsity-Aware Reduced-Precision Monolithic 3D CNN Accelerator
Architecture for Training and Inference | null | null | 10.1109/TETC.2020.3003328 | null | cs.AR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | CNNs outperform traditional machine learning algorithms across a wide range
of applications. However, their computational complexity makes it necessary to
design efficient hardware accelerators. Most CNN accelerators focus on
exploring dataflow styles that exploit computational parallelism. However,
potential perform... | [
{
"created": "Mon, 2 Sep 2019 05:59:54 GMT",
"version": "v1"
},
{
"created": "Mon, 3 Feb 2020 01:29:13 GMT",
"version": "v2"
}
] | 2020-06-25 | [
[
"Yu",
"Ye",
""
],
[
"Jha",
"Niraj K.",
""
]
] | CNNs outperform traditional machine learning algorithms across a wide range of applications. However, their computational complexity makes it necessary to design efficient hardware accelerators. Most CNN accelerators focus on exploring dataflow styles that exploit computational parallelism. However, potential performan... |
2406.17576 | Cheng Wang | Cheng Wang, Christopher Redino, Ryan Clark, Abdul Rahman, Sal
Aguinaga, Sathvik Murli, Dhruv Nandakumar, Roland Rao, Lanxiao Huang, Daniel
Radke, Edward Bowen | Leveraging Reinforcement Learning in Red Teaming for Advanced Ransomware
Attack Simulations | null | null | null | null | cs.CR cs.AI cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Ransomware presents a significant and increasing threat to individuals and
organizations by encrypting their systems and not releasing them until a large
fee has been extracted. To bolster preparedness against potential attacks,
organizations commonly conduct red teaming exercises, which involve simulated
attacks to ... | [
{
"created": "Tue, 25 Jun 2024 14:16:40 GMT",
"version": "v1"
}
] | 2024-06-26 | [
[
"Wang",
"Cheng",
""
],
[
"Redino",
"Christopher",
""
],
[
"Clark",
"Ryan",
""
],
[
"Rahman",
"Abdul",
""
],
[
"Aguinaga",
"Sal",
""
],
[
"Murli",
"Sathvik",
""
],
[
"Nandakumar",
"Dhruv",
""
],
[
"R... | Ransomware presents a significant and increasing threat to individuals and organizations by encrypting their systems and not releasing them until a large fee has been extracted. To bolster preparedness against potential attacks, organizations commonly conduct red teaming exercises, which involve simulated attacks to as... |
1611.03006 | Emiliano De Cristofaro | Emiliano De Cristofaro and Kaitai Liang and Yuruo Zhang | Privacy-Preserving Genetic Relatedness Test | A preliminary version of this paper appears in the Proceedings of the
3rd International Workshop on Genome Privacy and Security (GenoPri'16) | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | An increasing number of individuals are turning to Direct-To-Consumer (DTC)
genetic testing to learn about their predisposition to diseases, traits, and/or
ancestry. DTC companies like 23andme and Ancestry.com have started to offer
popular and affordable ancestry and genealogy tests, with services allowing
users to f... | [
{
"created": "Wed, 9 Nov 2016 16:37:28 GMT",
"version": "v1"
},
{
"created": "Thu, 10 Nov 2016 02:09:48 GMT",
"version": "v2"
}
] | 2016-11-11 | [
[
"De Cristofaro",
"Emiliano",
""
],
[
"Liang",
"Kaitai",
""
],
[
"Zhang",
"Yuruo",
""
]
] | An increasing number of individuals are turning to Direct-To-Consumer (DTC) genetic testing to learn about their predisposition to diseases, traits, and/or ancestry. DTC companies like 23andme and Ancestry.com have started to offer popular and affordable ancestry and genealogy tests, with services allowing users to fin... |
2312.07144 | Iyad Kanj | Eduard Eiben, Robert Ganian, Iyad Kanj | The Parameterized Complexity of Coordinated Motion Planning | Short version appeared in SoCG 2023 | null | null | null | cs.DS cs.AI cs.CG | http://creativecommons.org/licenses/by/4.0/ | In Coordinated Motion Planning (CMP), we are given a rectangular-grid on
which $k$ robots occupy $k$ distinct starting gridpoints and need to reach $k$
distinct destination gridpoints. In each time step, any robot may move to a
neighboring gridpoint or stay in its current gridpoint, provided that it does
not collide ... | [
{
"created": "Tue, 12 Dec 2023 10:26:01 GMT",
"version": "v1"
},
{
"created": "Sat, 16 Dec 2023 22:16:55 GMT",
"version": "v2"
}
] | 2023-12-19 | [
[
"Eiben",
"Eduard",
""
],
[
"Ganian",
"Robert",
""
],
[
"Kanj",
"Iyad",
""
]
] | In Coordinated Motion Planning (CMP), we are given a rectangular-grid on which $k$ robots occupy $k$ distinct starting gridpoints and need to reach $k$ distinct destination gridpoints. In each time step, any robot may move to a neighboring gridpoint or stay in its current gridpoint, provided that it does not collide wi... |
1710.06146 | Kostadin Kratchanov | Kostadin Kratchanov | Cinnamons: A Computation Model Underlying Control Network Programming | 7th Intl Conf. on Computer Science, Engineering & Applications
(ICCSEA 2017) September 23~24, 2017, Copenhagen, Denmark | null | 10.5121/csit.2017.71101 | null | cs.PL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We give the easily recognizable name "cinnamon" and "cinnamon programming" to
a new computation model intended to form a theoretical foundation for Control
Network Programming (CNP). CNP has established itself as a programming paradigm
combining declarative and imperative features, built-in search engine, powerful
to... | [
{
"created": "Tue, 17 Oct 2017 08:13:10 GMT",
"version": "v1"
}
] | 2017-10-18 | [
[
"Kratchanov",
"Kostadin",
""
]
] | We give the easily recognizable name "cinnamon" and "cinnamon programming" to a new computation model intended to form a theoretical foundation for Control Network Programming (CNP). CNP has established itself as a programming paradigm combining declarative and imperative features, built-in search engine, powerful tool... |
cs/9301101 | null | Lawrence C. Paulson | Verifying the Unification Algorithm in LCF | null | Science of Computer Programming 5 (1985), 143-170 | null | null | cs.LO | null | Manna and Waldinger's theory of substitutions and unification has been
verified using the Cambridge LCF theorem prover. A proof of the monotonicity of
substitution is presented in detail, as an example of interaction with LCF.
Translating the theory into LCF's domain-theoretic logic is largely
straightforward. Well-f... | [
{
"created": "Fri, 29 Sep 2000 00:00:00 GMT",
"version": "v1"
}
] | 2008-02-03 | [
[
"Paulson",
"Lawrence C.",
""
]
] | Manna and Waldinger's theory of substitutions and unification has been verified using the Cambridge LCF theorem prover. A proof of the monotonicity of substitution is presented in detail, as an example of interaction with LCF. Translating the theory into LCF's domain-theoretic logic is largely straightforward. Well-fou... |
2301.03966 | Vishesh Mistry | Debayan Deb, Vishesh Mistry, Rahul Parthe | AdvBiom: Adversarial Attacks on Biometric Matchers | arXiv admin note: text overlap with arXiv:1908.05008 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With the advent of deep learning models, face recognition systems have
achieved impressive recognition rates. The workhorses behind this success are
Convolutional Neural Networks (CNNs) and the availability of large training
datasets. However, we show that small human-imperceptible changes to face
samples can evade m... | [
{
"created": "Tue, 10 Jan 2023 14:01:11 GMT",
"version": "v1"
}
] | 2023-01-11 | [
[
"Deb",
"Debayan",
""
],
[
"Mistry",
"Vishesh",
""
],
[
"Parthe",
"Rahul",
""
]
] | With the advent of deep learning models, face recognition systems have achieved impressive recognition rates. The workhorses behind this success are Convolutional Neural Networks (CNNs) and the availability of large training datasets. However, we show that small human-imperceptible changes to face samples can evade mos... |
2203.03201 | Salman Bari | Salman Bari, Volker Gabler and Dirk Wollherr | MS2MP: A Min-Sum Message Passing Algorithm for Motion Planning | null | null | 10.1109/ICRA48506.2021.9561533 | null | cs.RO | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Gaussian Process (GP) formulation of continuoustime trajectory offers a fast
solution to the motion planning problem via probabilistic inference on factor
graph. However, often the solution converges to in-feasible local minima and
the planned trajectory is not collision-free. We propose a message passing
algorithm t... | [
{
"created": "Mon, 7 Mar 2022 08:24:20 GMT",
"version": "v1"
}
] | 2022-03-08 | [
[
"Bari",
"Salman",
""
],
[
"Gabler",
"Volker",
""
],
[
"Wollherr",
"Dirk",
""
]
] | Gaussian Process (GP) formulation of continuoustime trajectory offers a fast solution to the motion planning problem via probabilistic inference on factor graph. However, often the solution converges to in-feasible local minima and the planned trajectory is not collision-free. We propose a message passing algorithm tha... |
2205.08989 | Ryan Feng | Ryan Feng, Somesh Jha, Atul Prakash | Constraining the Attack Space of Machine Learning Models with
Distribution Clamping Preprocessing | null | null | null | null | cs.LG cs.CR cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Preprocessing and outlier detection techniques have both been applied to
neural networks to increase robustness with varying degrees of success. In this
paper, we formalize the ideal preprocessor function as one that would take any
input and set it to the nearest in-distribution input. In other words, we
detect any a... | [
{
"created": "Wed, 18 May 2022 15:20:18 GMT",
"version": "v1"
}
] | 2022-05-19 | [
[
"Feng",
"Ryan",
""
],
[
"Jha",
"Somesh",
""
],
[
"Prakash",
"Atul",
""
]
] | Preprocessing and outlier detection techniques have both been applied to neural networks to increase robustness with varying degrees of success. In this paper, we formalize the ideal preprocessor function as one that would take any input and set it to the nearest in-distribution input. In other words, we detect any ano... |
2201.08896 | Izzeddin Gur | Izzeddin Gur, Natasha Jaques, Yingjie Miao, Jongwook Choi, Manoj
Tiwari, Honglak Lee, Aleksandra Faust | Environment Generation for Zero-Shot Compositional Reinforcement
Learning | Published in NeurIPS 2021 | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Many real-world problems are compositional - solving them requires completing
interdependent sub-tasks, either in series or in parallel, that can be
represented as a dependency graph. Deep reinforcement learning (RL) agents
often struggle to learn such complex tasks due to the long time horizons and
sparse rewards. T... | [
{
"created": "Fri, 21 Jan 2022 21:35:01 GMT",
"version": "v1"
}
] | 2022-01-25 | [
[
"Gur",
"Izzeddin",
""
],
[
"Jaques",
"Natasha",
""
],
[
"Miao",
"Yingjie",
""
],
[
"Choi",
"Jongwook",
""
],
[
"Tiwari",
"Manoj",
""
],
[
"Lee",
"Honglak",
""
],
[
"Faust",
"Aleksandra",
""
]
] | Many real-world problems are compositional - solving them requires completing interdependent sub-tasks, either in series or in parallel, that can be represented as a dependency graph. Deep reinforcement learning (RL) agents often struggle to learn such complex tasks due to the long time horizons and sparse rewards. To ... |
1911.12984 | Alessio Cardillo | Mariana Macedo, Laura Lotero, Alessio Cardillo, Hugo Barbosa, Ronaldo
Menezes | Gender Patterns of Human Mobility in Colombia: Reexamining Ravenstein's
Laws of Migration | 12 pages, 6 figures. Comments are welcome | Proceedings of the conference "Complex Networks XI", pp. 269-281,
Springer Proceedings in Complexity (2020) | 10.1007/978-3-030-40943-2_23 | null | cs.SI physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Public stakeholders implement several policies and regulations to tackle
gender gaps, fostering the change in the cultural constructs associated with
gender. One way to quantify if such changes elicit gender equality is by
studying mobility. In this work, we study the daily mobility patterns of women
and men occurrin... | [
{
"created": "Fri, 29 Nov 2019 07:26:22 GMT",
"version": "v1"
}
] | 2020-02-27 | [
[
"Macedo",
"Mariana",
""
],
[
"Lotero",
"Laura",
""
],
[
"Cardillo",
"Alessio",
""
],
[
"Barbosa",
"Hugo",
""
],
[
"Menezes",
"Ronaldo",
""
]
] | Public stakeholders implement several policies and regulations to tackle gender gaps, fostering the change in the cultural constructs associated with gender. One way to quantify if such changes elicit gender equality is by studying mobility. In this work, we study the daily mobility patterns of women and men occurring ... |
2405.03728 | Xiaobin Li | Xiaobin Li, Kai Wu, Yujian Betterest Li, Xiaoyu Zhang, Handing Wang,
Jing Liu | GLHF: General Learned Evolutionary Algorithm Via Hyper Functions | null | null | null | null | cs.NE cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Pretrained Optimization Models (POMs) leverage knowledge gained from
optimizing various tasks, providing efficient solutions for new optimization
challenges through direct usage or fine-tuning. Despite the inefficiencies and
limited generalization abilities observed in current POMs, our proposed model,
the general pr... | [
{
"created": "Mon, 6 May 2024 09:11:49 GMT",
"version": "v1"
}
] | 2024-05-08 | [
[
"Li",
"Xiaobin",
""
],
[
"Wu",
"Kai",
""
],
[
"Li",
"Yujian Betterest",
""
],
[
"Zhang",
"Xiaoyu",
""
],
[
"Wang",
"Handing",
""
],
[
"Liu",
"Jing",
""
]
] | Pretrained Optimization Models (POMs) leverage knowledge gained from optimizing various tasks, providing efficient solutions for new optimization challenges through direct usage or fine-tuning. Despite the inefficiencies and limited generalization abilities observed in current POMs, our proposed model, the general pre-... |
2306.13995 | Rohitash Chandra | Chaarvi Bansal, Rohitash Chandra, Vinti Agarwal, P. R. Deepa | A clustering and graph deep learning-based framework for COVID-19 drug
repurposing | null | null | null | null | cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | Drug repurposing (or repositioning) is the process of finding new therapeutic
uses for drugs already approved by drug regulatory authorities (e.g., the Food
and Drug Administration (FDA) and Therapeutic Goods Administration (TGA)) for
other diseases. This involves analyzing the interactions between different
biologic... | [
{
"created": "Sat, 24 Jun 2023 15:00:47 GMT",
"version": "v1"
}
] | 2023-06-27 | [
[
"Bansal",
"Chaarvi",
""
],
[
"Chandra",
"Rohitash",
""
],
[
"Agarwal",
"Vinti",
""
],
[
"Deepa",
"P. R.",
""
]
] | Drug repurposing (or repositioning) is the process of finding new therapeutic uses for drugs already approved by drug regulatory authorities (e.g., the Food and Drug Administration (FDA) and Therapeutic Goods Administration (TGA)) for other diseases. This involves analyzing the interactions between different biological... |
2208.00332 | Maleknaz Nayebi | Sk Golam Saroar, Waseefa Ahmed, Maleknaz Nayebi | GitHub Marketplace for Practitioners and Researchers to Date: A
Systematic Analysis of the Knowledge Mobilization Gap in Open Source Software
Automation | The paper is under review in a journal | null | null | null | cs.SE | http://creativecommons.org/licenses/by/4.0/ | Marketplaces for distributing software products and services have been
getting increasing popularity. GitHub, which is most known for its version
control functionality through Git, launched its own marketplace in 2017. GitHub
Marketplace hosts third party apps and actions to automate workflows in
software teams. Curr... | [
{
"created": "Sun, 31 Jul 2022 01:48:19 GMT",
"version": "v1"
}
] | 2022-08-02 | [
[
"Saroar",
"Sk Golam",
""
],
[
"Ahmed",
"Waseefa",
""
],
[
"Nayebi",
"Maleknaz",
""
]
] | Marketplaces for distributing software products and services have been getting increasing popularity. GitHub, which is most known for its version control functionality through Git, launched its own marketplace in 2017. GitHub Marketplace hosts third party apps and actions to automate workflows in software teams. Curren... |
2405.13755 | Nneka Okolo | Gergely Neu, Nneka Okolo | Offline RL via Feature-Occupancy Gradient Ascent | 26 pages | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study offline Reinforcement Learning in large infinite-horizon discounted
Markov Decision Processes (MDPs) when the reward and transition models are
linearly realizable under a known feature map. Starting from the classic
linear-program formulation of the optimal control problem in MDPs, we develop a
new algorithm... | [
{
"created": "Wed, 22 May 2024 15:39:05 GMT",
"version": "v1"
}
] | 2024-05-24 | [
[
"Neu",
"Gergely",
""
],
[
"Okolo",
"Nneka",
""
]
] | We study offline Reinforcement Learning in large infinite-horizon discounted Markov Decision Processes (MDPs) when the reward and transition models are linearly realizable under a known feature map. Starting from the classic linear-program formulation of the optimal control problem in MDPs, we develop a new algorithm t... |
2111.13171 | Tolga Birdal | Tolga Birdal, Aaron Lou, Leonidas Guibas, Umut \c{S}im\c{s}ekli | Intrinsic Dimension, Persistent Homology and Generalization in Neural
Networks | Appears at NeurIPS 2021 | null | null | null | cs.LG cs.AI cs.CV math.GN stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Disobeying the classical wisdom of statistical learning theory, modern deep
neural networks generalize well even though they typically contain millions of
parameters. Recently, it has been shown that the trajectories of iterative
optimization algorithms can possess fractal structures, and their
generalization error c... | [
{
"created": "Thu, 25 Nov 2021 17:06:15 GMT",
"version": "v1"
}
] | 2021-11-29 | [
[
"Birdal",
"Tolga",
""
],
[
"Lou",
"Aaron",
""
],
[
"Guibas",
"Leonidas",
""
],
[
"Şimşekli",
"Umut",
""
]
] | Disobeying the classical wisdom of statistical learning theory, modern deep neural networks generalize well even though they typically contain millions of parameters. Recently, it has been shown that the trajectories of iterative optimization algorithms can possess fractal structures, and their generalization error can... |
1811.08047 | Chunhui Guo | Chunhui Guo, Hao Wu, Xiayu Hua, Shangping Ren, Jerzy Nogiec | Optimizing System Quality of Service through Rejuvenation for
Long-Running Applications with Real-Time Constraints | null | null | null | null | cs.SE cs.DC cs.PF cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Reliability, longevity, availability, and deadline guarantees are the four
most important metrics to measure the QoS of long-running safety-critical
real-time applications. Software aging is one of the major factors that impact
the safety of long-running real-time applications as the degraded performance
and increase... | [
{
"created": "Tue, 20 Nov 2018 02:51:50 GMT",
"version": "v1"
}
] | 2018-11-21 | [
[
"Guo",
"Chunhui",
""
],
[
"Wu",
"Hao",
""
],
[
"Hua",
"Xiayu",
""
],
[
"Ren",
"Shangping",
""
],
[
"Nogiec",
"Jerzy",
""
]
] | Reliability, longevity, availability, and deadline guarantees are the four most important metrics to measure the QoS of long-running safety-critical real-time applications. Software aging is one of the major factors that impact the safety of long-running real-time applications as the degraded performance and increased ... |
2303.12224 | Noam Buckman | Noam Buckman, Shiva Sreeram, Mathias Lechner, Yutong Ban, Ramin
Hasani, Sertac Karaman, Daniela Rus | Infrastructure-based End-to-End Learning and Prevention of Driver
Failure | 8 pages. Accepted to ICRA 2023 | null | 10.1109/ICRA48891.2023.10161536 | null | cs.RO cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Intelligent intersection managers can improve safety by detecting dangerous
drivers or failure modes in autonomous vehicles, warning oncoming vehicles as
they approach an intersection. In this work, we present FailureNet, a recurrent
neural network trained end-to-end on trajectories of both nominal and reckless
drive... | [
{
"created": "Tue, 21 Mar 2023 22:55:51 GMT",
"version": "v1"
}
] | 2023-10-02 | [
[
"Buckman",
"Noam",
""
],
[
"Sreeram",
"Shiva",
""
],
[
"Lechner",
"Mathias",
""
],
[
"Ban",
"Yutong",
""
],
[
"Hasani",
"Ramin",
""
],
[
"Karaman",
"Sertac",
""
],
[
"Rus",
"Daniela",
""
]
] | Intelligent intersection managers can improve safety by detecting dangerous drivers or failure modes in autonomous vehicles, warning oncoming vehicles as they approach an intersection. In this work, we present FailureNet, a recurrent neural network trained end-to-end on trajectories of both nominal and reckless drivers... |
1704.08526 | Kiran Gupta A | Naveen S Naik, Kiran A Gupta | An Efficient Reconfigurable FIR Digital Filter Using Modified Distribute
Arithmetic Technique | 5 pages,4 figures, journal 2015 | null | null | null | cs.AR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper provides modified Distributed Arithmetic based technique to
compute sum of products saving appreciable number of Multiply And accumulation
blocks and this consecutively reduces circuit size. In this technique
multiplexer based structure is used to reuse the blocks so as to reduce the
required memory locati... | [
{
"created": "Thu, 27 Apr 2017 12:07:52 GMT",
"version": "v1"
}
] | 2017-04-28 | [
[
"Naik",
"Naveen S",
""
],
[
"Gupta",
"Kiran A",
""
]
] | This paper provides modified Distributed Arithmetic based technique to compute sum of products saving appreciable number of Multiply And accumulation blocks and this consecutively reduces circuit size. In this technique multiplexer based structure is used to reuse the blocks so as to reduce the required memory location... |
1907.06768 | Mohammad Hasanzadeh Mofrad | Mohammad Hasanzadeh Mofrad, Rami Melhem, Mohammad Hammoud | Partitioning Graphs for the Cloud using Reinforcement Learning | null | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we propose Revolver, a parallel graph partitioning algorithm
capable of partitioning large-scale graphs on a single shared-memory machine.
Revolver employs an asynchronous processing framework, which leverages
reinforcement learning and label propagation to adaptively partition a graph.
In addition, it... | [
{
"created": "Mon, 15 Jul 2019 21:50:56 GMT",
"version": "v1"
},
{
"created": "Wed, 17 Jul 2019 16:16:28 GMT",
"version": "v2"
}
] | 2019-07-18 | [
[
"Mofrad",
"Mohammad Hasanzadeh",
""
],
[
"Melhem",
"Rami",
""
],
[
"Hammoud",
"Mohammad",
""
]
] | In this paper, we propose Revolver, a parallel graph partitioning algorithm capable of partitioning large-scale graphs on a single shared-memory machine. Revolver employs an asynchronous processing framework, which leverages reinforcement learning and label propagation to adaptively partition a graph. In addition, it a... |
2207.03398 | Davis Wertheimer | Davis Wertheimer, Luming Tang, and Bharath Hariharan | Diagnosing and Remedying Shot Sensitivity with Cosine Few-Shot Learners | null | null | null | null | cs.CV cs.AI cs.LG | http://creativecommons.org/licenses/by-sa/4.0/ | Few-shot recognition involves training an image classifier to distinguish
novel concepts at test time using few examples (shot). Existing approaches
generally assume that the shot number at test time is known in advance. This is
not realistic, and the performance of a popular and foundational method has
been shown to... | [
{
"created": "Thu, 7 Jul 2022 16:05:28 GMT",
"version": "v1"
}
] | 2022-07-08 | [
[
"Wertheimer",
"Davis",
""
],
[
"Tang",
"Luming",
""
],
[
"Hariharan",
"Bharath",
""
]
] | Few-shot recognition involves training an image classifier to distinguish novel concepts at test time using few examples (shot). Existing approaches generally assume that the shot number at test time is known in advance. This is not realistic, and the performance of a popular and foundational method has been shown to s... |
2102.08707 | Mohammad Dehghani Soltani | Mohammad Dehghani Soltani, Elham Sarbazi, Nikolaos Bamiedakis,
Priyanka de Souza, Hossein Kazemi, Jaafar M. H. Elmirghani, Ian H. White,
Richard V. Penty, Harald Haas and Majid Safari | Safety Analysis for Laser-based Optical Wireless Communications: A
Tutorial | 54 pages, 24 figures Submitted to IEEE journal | null | null | null | cs.IT math.IT | http://creativecommons.org/licenses/by/4.0/ | Light amplification by stimulated emission of radiation (laser) sources have
many advantages for use in high data rate optical wireless communications. In
particular, the low cost and high-bandwidth properties of laser sources such as
vertical-cavity surface-emitting lasers (VCSELs) make them attractive for
future in... | [
{
"created": "Wed, 17 Feb 2021 11:44:30 GMT",
"version": "v1"
},
{
"created": "Tue, 20 Apr 2021 22:27:17 GMT",
"version": "v2"
},
{
"created": "Wed, 5 May 2021 14:40:43 GMT",
"version": "v3"
}
] | 2021-05-06 | [
[
"Soltani",
"Mohammad Dehghani",
""
],
[
"Sarbazi",
"Elham",
""
],
[
"Bamiedakis",
"Nikolaos",
""
],
[
"de Souza",
"Priyanka",
""
],
[
"Kazemi",
"Hossein",
""
],
[
"Elmirghani",
"Jaafar M. H.",
""
],
[
"White",
... | Light amplification by stimulated emission of radiation (laser) sources have many advantages for use in high data rate optical wireless communications. In particular, the low cost and high-bandwidth properties of laser sources such as vertical-cavity surface-emitting lasers (VCSELs) make them attractive for future indo... |
2406.00150 | Yilin Zheng | Yilin Zheng, Atilla Eryilmaz | Non-Federated Multi-Task Split Learning for Heterogeneous Sources | null | null | null | null | cs.LG cs.DC | http://creativecommons.org/licenses/by/4.0/ | With the development of edge networks and mobile computing, the need to serve
heterogeneous data sources at the network edge requires the design of new
distributed machine learning mechanisms. As a prevalent approach, Federated
Learning (FL) employs parameter-sharing and gradient-averaging between clients
and a serve... | [
{
"created": "Fri, 31 May 2024 19:27:03 GMT",
"version": "v1"
}
] | 2024-06-04 | [
[
"Zheng",
"Yilin",
""
],
[
"Eryilmaz",
"Atilla",
""
]
] | With the development of edge networks and mobile computing, the need to serve heterogeneous data sources at the network edge requires the design of new distributed machine learning mechanisms. As a prevalent approach, Federated Learning (FL) employs parameter-sharing and gradient-averaging between clients and a server.... |
1612.07548 | Wendelin B\"ohmer | Wendelin B\"ohmer and Rong Guo and Klaus Obermayer | Non-Deterministic Policy Improvement Stabilizes Approximated
Reinforcement Learning | This paper has been presented at the 13th European Workshop on
Reinforcement Learning (EWRL 2016) on the 3rd and 4th of December 2016 in
Barcelona, Spain | null | null | null | cs.AI cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper investigates a type of instability that is linked to the greedy
policy improvement in approximated reinforcement learning. We show empirically
that non-deterministic policy improvement can stabilize methods like LSPI by
controlling the improvements' stochasticity. Additionally we show that a
suitable repre... | [
{
"created": "Thu, 22 Dec 2016 11:30:35 GMT",
"version": "v1"
}
] | 2016-12-23 | [
[
"Böhmer",
"Wendelin",
""
],
[
"Guo",
"Rong",
""
],
[
"Obermayer",
"Klaus",
""
]
] | This paper investigates a type of instability that is linked to the greedy policy improvement in approximated reinforcement learning. We show empirically that non-deterministic policy improvement can stabilize methods like LSPI by controlling the improvements' stochasticity. Additionally we show that a suitable represe... |
2207.14545 | Yanchen Li | Yanchen Li, Qingzhong Ai and Fumihiko Ino | A One-Shot Reparameterization Method for Reducing the Loss of Tile
Pruning on DNNs | Presented at IJCNN 2022, oral | null | null | null | cs.CV cs.LG | http://creativecommons.org/licenses/by/4.0/ | Recently, tile pruning has been widely studied to accelerate the inference of
deep neural networks (DNNs). However, we found that the loss due to tile
pruning, which can eliminate important elements together with unimportant
elements, is large on trained DNNs. In this study, we propose a one-shot
reparameterization m... | [
{
"created": "Fri, 29 Jul 2022 08:27:15 GMT",
"version": "v1"
}
] | 2022-08-01 | [
[
"Li",
"Yanchen",
""
],
[
"Ai",
"Qingzhong",
""
],
[
"Ino",
"Fumihiko",
""
]
] | Recently, tile pruning has been widely studied to accelerate the inference of deep neural networks (DNNs). However, we found that the loss due to tile pruning, which can eliminate important elements together with unimportant elements, is large on trained DNNs. In this study, we propose a one-shot reparameterization met... |
2309.04656 | Jan Vondrak | Shahar Dobzinski, Wenzheng Li, Aviad Rubinstein and Jan Vondrak | A constant factor approximation for Nash social welfare with subadditive
valuations | null | null | null | null | cs.GT cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a constant-factor approximation algorithm for the Nash social
welfare maximization problem with subadditive valuations accessible via demand
queries. More generally, we propose a template for NSW optimization by solving
a configuration-type LP and using a rounding procedure for (utilitarian) social
welfare... | [
{
"created": "Sat, 9 Sep 2023 01:31:14 GMT",
"version": "v1"
}
] | 2023-09-12 | [
[
"Dobzinski",
"Shahar",
""
],
[
"Li",
"Wenzheng",
""
],
[
"Rubinstein",
"Aviad",
""
],
[
"Vondrak",
"Jan",
""
]
] | We present a constant-factor approximation algorithm for the Nash social welfare maximization problem with subadditive valuations accessible via demand queries. More generally, we propose a template for NSW optimization by solving a configuration-type LP and using a rounding procedure for (utilitarian) social welfare a... |
2106.06617 | Erik Nelson | Erik Nelson | Inexact Loops in Robotics Problems | Robotics: Science and Systems (RSS) 2021 | null | null | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | Loops are pervasive in robotics problems, appearing in mapping and
localization, where one is interested in finding loop closure constraints to
better approximate robot poses or other estimated quantities, as well as
planning and prediction, where one is interested in the homotopy classes of the
space through which a... | [
{
"created": "Fri, 11 Jun 2021 21:33:26 GMT",
"version": "v1"
}
] | 2021-06-15 | [
[
"Nelson",
"Erik",
""
]
] | Loops are pervasive in robotics problems, appearing in mapping and localization, where one is interested in finding loop closure constraints to better approximate robot poses or other estimated quantities, as well as planning and prediction, where one is interested in the homotopy classes of the space through which a r... |
2107.11792 | Haide Wang | Haide Wang, Ji Zhou, Jinlong Wei, Dong Guo, Yuanhua Feng, Weiping Liu,
Changyuan Yu, Dawei Wang, and Zhaohui Li | Multi-Rate Nyquist-SCM for C-Band 100Gbit/s Signal over 50km
Dispersion-Uncompensated Link | This paper has been accepted by Journal of Lightwave Techonlogy | null | 10.1109/JLT.2021.3131603 | null | cs.IT eess.SP math.IT | http://creativecommons.org/licenses/by/4.0/ | In this paper, to the best of our knowledge, we propose the first multi-rate
Nyquist-subcarriers modulation (SCM) for C-band 100Gbit/s signal transmission
over 50km dispersion-uncompensated link. Chromatic dispersion (CD) introduces
severe spectral nulls on optical double-sideband signal, which greatly degrades
the p... | [
{
"created": "Sun, 25 Jul 2021 12:22:09 GMT",
"version": "v1"
},
{
"created": "Sun, 28 Nov 2021 08:03:03 GMT",
"version": "v2"
}
] | 2022-04-06 | [
[
"Wang",
"Haide",
""
],
[
"Zhou",
"Ji",
""
],
[
"Wei",
"Jinlong",
""
],
[
"Guo",
"Dong",
""
],
[
"Feng",
"Yuanhua",
""
],
[
"Liu",
"Weiping",
""
],
[
"Yu",
"Changyuan",
""
],
[
"Wang",
"Dawei",
... | In this paper, to the best of our knowledge, we propose the first multi-rate Nyquist-subcarriers modulation (SCM) for C-band 100Gbit/s signal transmission over 50km dispersion-uncompensated link. Chromatic dispersion (CD) introduces severe spectral nulls on optical double-sideband signal, which greatly degrades the per... |
2005.01777 | Ngoc Thang Vu | Chia-Yu Li, Daniel Ortega, Dirk V\"ath, Florian Lux, Lindsey
Vanderlyn, Maximilian Schmidt, Michael Neumann, Moritz V\"olkel, Pavel
Denisov, Sabrina Jenne, Zorica Kacarevic and Ngoc Thang Vu | ADVISER: A Toolkit for Developing Multi-modal, Multi-domain and
Socially-engaged Conversational Agents | All authors contributed equally. Accepted to be presented at ACL -
System demonstrations - 2020 | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present ADVISER - an open-source, multi-domain dialog system toolkit that
enables the development of multi-modal (incorporating speech, text and vision),
socially-engaged (e.g. emotion recognition, engagement level prediction and
backchanneling) conversational agents. The final Python-based implementation of
our t... | [
{
"created": "Mon, 4 May 2020 18:27:58 GMT",
"version": "v1"
}
] | 2020-05-06 | [
[
"Li",
"Chia-Yu",
""
],
[
"Ortega",
"Daniel",
""
],
[
"Väth",
"Dirk",
""
],
[
"Lux",
"Florian",
""
],
[
"Vanderlyn",
"Lindsey",
""
],
[
"Schmidt",
"Maximilian",
""
],
[
"Neumann",
"Michael",
""
],
[
... | We present ADVISER - an open-source, multi-domain dialog system toolkit that enables the development of multi-modal (incorporating speech, text and vision), socially-engaged (e.g. emotion recognition, engagement level prediction and backchanneling) conversational agents. The final Python-based implementation of our too... |
2306.01891 | Abanob Soliman | Abanob Soliman, Fabien Bonardi, D\'esir\'e Sidib\'e, Samia Bouchafa | DH-PTAM: A Deep Hybrid Stereo Events-Frames Parallel Tracking And
Mapping System | Accepted for publication in the IEEE Transactions on Intelligent
Vehicles | Vol.0, 2024 | 10.1109/TIV.2024.3412595 | null | cs.CV cs.RO eess.IV eess.SP | http://creativecommons.org/licenses/by/4.0/ | This paper presents a robust approach for a visual parallel tracking and
mapping (PTAM) system that excels in challenging environments. Our proposed
method combines the strengths of heterogeneous multi-modal visual sensors,
including stereo event-based and frame-based sensors, in a unified reference
frame through a n... | [
{
"created": "Fri, 2 Jun 2023 19:52:13 GMT",
"version": "v1"
},
{
"created": "Wed, 23 Aug 2023 21:29:03 GMT",
"version": "v2"
},
{
"created": "Sun, 9 Jun 2024 13:56:51 GMT",
"version": "v3"
}
] | 2024-06-11 | [
[
"Soliman",
"Abanob",
""
],
[
"Bonardi",
"Fabien",
""
],
[
"Sidibé",
"Désiré",
""
],
[
"Bouchafa",
"Samia",
""
]
] | This paper presents a robust approach for a visual parallel tracking and mapping (PTAM) system that excels in challenging environments. Our proposed method combines the strengths of heterogeneous multi-modal visual sensors, including stereo event-based and frame-based sensors, in a unified reference frame through a nov... |
2101.07927 | Yuanhao Gong | Yuanhao Gong, Wenming Tang, Lebin Zhou, Lantao Yu, Guoping Qiu | A Discrete Scheme for Computing Image's Weighted Gaussian Curvature | null | null | null | null | cs.CV eess.IV eess.SP math.DG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Weighted Gaussian Curvature is an important measurement for images. However,
its conventional computation scheme has low performance, low accuracy and
requires that the input image must be second order differentiable. To tackle
these three issues, we propose a novel discrete computation scheme for the
weighted Gaussi... | [
{
"created": "Wed, 20 Jan 2021 02:15:51 GMT",
"version": "v1"
}
] | 2021-01-21 | [
[
"Gong",
"Yuanhao",
""
],
[
"Tang",
"Wenming",
""
],
[
"Zhou",
"Lebin",
""
],
[
"Yu",
"Lantao",
""
],
[
"Qiu",
"Guoping",
""
]
] | Weighted Gaussian Curvature is an important measurement for images. However, its conventional computation scheme has low performance, low accuracy and requires that the input image must be second order differentiable. To tackle these three issues, we propose a novel discrete computation scheme for the weighted Gaussian... |
2105.08597 | Mohammed Ibrahim | Mohammed Ibrahim, Susan Gauch, Tyler Gerth, Brandon Cox | WOVe: Incorporating Word Order in GloVe Word Embeddings | null | null | null | null | cs.CL cs.LG | http://creativecommons.org/licenses/by/4.0/ | Word vector representations open up new opportunities to extract useful
information from unstructured text. Defining a word as a vector made it easy
for the machine learning algorithms to understand a text and extract
information from. Word vector representations have been used in many
applications such word synonyms... | [
{
"created": "Tue, 18 May 2021 15:28:20 GMT",
"version": "v1"
}
] | 2021-05-19 | [
[
"Ibrahim",
"Mohammed",
""
],
[
"Gauch",
"Susan",
""
],
[
"Gerth",
"Tyler",
""
],
[
"Cox",
"Brandon",
""
]
] | Word vector representations open up new opportunities to extract useful information from unstructured text. Defining a word as a vector made it easy for the machine learning algorithms to understand a text and extract information from. Word vector representations have been used in many applications such word synonyms, ... |
1910.10176 | Rene Haberland | Ren\'e Haberland | Review of Recent Heap Specification and Verification Techniques | fully translated preprint (English); final journal paper 26 pages (in
Russian) | Computer Tools in Education Journal, ISSN 2071-2359, ISSN
2071-2340 | 10.32603/2071-2340-2019-2-5-30 | null | cs.LO cs.SC | http://creativecommons.org/licenses/by-nc-sa/4.0/ | The article provides an overview of the existing methods of dynamic memory
verification; a comparative analysis is carried out; the applicability for
solving problems of control, monitoring, and verification of dynamic memory is
evaluated. This article is divided into eight sections. The first section
introduces form... | [
{
"created": "Tue, 22 Oct 2019 18:01:33 GMT",
"version": "v1"
},
{
"created": "Thu, 24 Mar 2022 11:43:05 GMT",
"version": "v2"
}
] | 2022-03-25 | [
[
"Haberland",
"René",
""
]
] | The article provides an overview of the existing methods of dynamic memory verification; a comparative analysis is carried out; the applicability for solving problems of control, monitoring, and verification of dynamic memory is evaluated. This article is divided into eight sections. The first section introduces formal... |
1303.1517 | Pei Wang | Pei Wang | Belief Revision in Probability Theory | Appears in Proceedings of the Ninth Conference on Uncertainty in
Artificial Intelligence (UAI1993) | null | null | UAI-P-1993-PG-519-526 | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In a probability-based reasoning system, Bayes' theorem and its variations
are often used to revise the system's beliefs. However, if the explicit
conditions and the implicit conditions of probability assignments `me properly
distinguished, it follows that Bayes' theorem is not a generally applicable
revision rule. U... | [
{
"created": "Wed, 6 Mar 2013 14:24:24 GMT",
"version": "v1"
}
] | 2013-03-08 | [
[
"Wang",
"Pei",
""
]
] | In a probability-based reasoning system, Bayes' theorem and its variations are often used to revise the system's beliefs. However, if the explicit conditions and the implicit conditions of probability assignments `me properly distinguished, it follows that Bayes' theorem is not a generally applicable revision rule. Upo... |
1910.04493 | Kevin Gomez | Kevin Gomez, Matthias T\"aschner, M. Ali Rostami, Christopher Rost,
Erhard Rahm | Graph Sampling with Distributed In-Memory Dataflow Systems | null | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Given a large graph, a graph sample determines a subgraph with similar
characteristics for certain metrics of the original graph. The samples are much
smaller thereby accelerating and simplifying the analysis and visualization of
large graphs. We focus on the implementation of distributed graph sampling for
Big Data ... | [
{
"created": "Thu, 10 Oct 2019 11:44:59 GMT",
"version": "v1"
}
] | 2019-10-11 | [
[
"Gomez",
"Kevin",
""
],
[
"Täschner",
"Matthias",
""
],
[
"Rostami",
"M. Ali",
""
],
[
"Rost",
"Christopher",
""
],
[
"Rahm",
"Erhard",
""
]
] | Given a large graph, a graph sample determines a subgraph with similar characteristics for certain metrics of the original graph. The samples are much smaller thereby accelerating and simplifying the analysis and visualization of large graphs. We focus on the implementation of distributed graph sampling for Big Data fr... |
1909.11285 | Ze Wang | Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, and Qiang Qiu | A Dictionary Approach to Domain-Invariant Learning in Deep Networks | null | null | null | null | cs.LG cs.CV stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we consider domain-invariant deep learning by explicitly
modeling domain shifts with only a small amount of domain-specific parameters
in a Convolutional Neural Network (CNN). By exploiting the observation that a
convolutional filter can be well approximated as a linear combination of a
small set of di... | [
{
"created": "Wed, 25 Sep 2019 04:35:04 GMT",
"version": "v1"
},
{
"created": "Mon, 28 Sep 2020 23:31:44 GMT",
"version": "v2"
}
] | 2020-09-30 | [
[
"Wang",
"Ze",
""
],
[
"Cheng",
"Xiuyuan",
""
],
[
"Sapiro",
"Guillermo",
""
],
[
"Qiu",
"Qiang",
""
]
] | In this paper, we consider domain-invariant deep learning by explicitly modeling domain shifts with only a small amount of domain-specific parameters in a Convolutional Neural Network (CNN). By exploiting the observation that a convolutional filter can be well approximated as a linear combination of a small set of dict... |
2202.10824 | Yuyu Guo | Yuyu Guo, Jingkuan Song, Lianli Gao, Heng Tao Shen | One-shot Scene Graph Generation | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | As a structured representation of the image content, the visual scene graph
(visual relationship) acts as a bridge between computer vision and natural
language processing. Existing models on the scene graph generation task
notoriously require tens or hundreds of labeled samples. By contrast, human
beings can learn vi... | [
{
"created": "Tue, 22 Feb 2022 11:32:59 GMT",
"version": "v1"
},
{
"created": "Sat, 26 Feb 2022 03:01:37 GMT",
"version": "v2"
}
] | 2022-03-01 | [
[
"Guo",
"Yuyu",
""
],
[
"Song",
"Jingkuan",
""
],
[
"Gao",
"Lianli",
""
],
[
"Shen",
"Heng Tao",
""
]
] | As a structured representation of the image content, the visual scene graph (visual relationship) acts as a bridge between computer vision and natural language processing. Existing models on the scene graph generation task notoriously require tens or hundreds of labeled samples. By contrast, human beings can learn visu... |
2006.10241 | Aritra Guha | Aritra Guha, Rayleigh Lei, Jiacheng Zhu, XuanLong Nguyen and Ding Zhao | Robust Unsupervised Learning of Temporal Dynamic Interactions | null | null | null | null | cs.LG cs.MA cs.RO stat.AP stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Robust representation learning of temporal dynamic interactions is an
important problem in robotic learning in general and automated unsupervised
learning in particular. Temporal dynamic interactions can be described by
(multiple) geometric trajectories in a suitable space over which unsupervised
learning techniques ... | [
{
"created": "Thu, 18 Jun 2020 02:39:45 GMT",
"version": "v1"
}
] | 2020-06-19 | [
[
"Guha",
"Aritra",
""
],
[
"Lei",
"Rayleigh",
""
],
[
"Zhu",
"Jiacheng",
""
],
[
"Nguyen",
"XuanLong",
""
],
[
"Zhao",
"Ding",
""
]
] | Robust representation learning of temporal dynamic interactions is an important problem in robotic learning in general and automated unsupervised learning in particular. Temporal dynamic interactions can be described by (multiple) geometric trajectories in a suitable space over which unsupervised learning techniques ma... |
0912.1015 | Rdv Ijcsis | Mrs. J. P. Rothe, Dr. A. K. Wadhwani, Dr. Mrs. S. Wadhwani | Short Term Load Forecasting Using Multi Parameter Regression | 4 pages IEEE format, International Journal of Computer Science and
Information Security, IJCSIS November 2009, ISSN 1947 5500,
http://sites.google.com/site/ijcsis/ | International Journal of Computer Science and Information
Security, IJCSIS, Vol. 6, No. 2, pp. 303-306, November 2009, USA | null | ISSN 1947 5500 | cs.NE cs.CE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Short Term Load forecasting in this paper uses input data dependent on
parameters such as load for current hour and previous two hours, temperature
for current hour and previous two hours, wind for current hour and previous two
hours, cloud for current hour and previous two hours. Forecasting will be of
load demand f... | [
{
"created": "Sat, 5 Dec 2009 13:18:35 GMT",
"version": "v1"
}
] | 2009-12-08 | [
[
"Rothe",
"Mrs. J. P.",
""
],
[
"Wadhwani",
"Dr. A. K.",
""
],
[
"Wadhwani",
"Dr. Mrs. S.",
""
]
] | Short Term Load forecasting in this paper uses input data dependent on parameters such as load for current hour and previous two hours, temperature for current hour and previous two hours, wind for current hour and previous two hours, cloud for current hour and previous two hours. Forecasting will be of load demand for... |
0803.1908 | Massimiliano Laddomada Ph.D. | F. Daneshgaran, M. Laddomada, F. Mesiti, M. Mondin | On the Throughput Allocation for Proportional Fairness in Multirate IEEE
802.11 DCF under General Load Conditions | 5 pages, 2 figures, submitted to IEEE Globecom 2008, March 2008 | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents a modified proportional fairness (PF) criterion suitable
for mitigating the \textit{rate anomaly} problem of multirate IEEE 802.11
Wireless LANs employing the mandatory Distributed Coordination Function (DCF)
option. Compared to the widely adopted assumption of saturated network, the
proposed crit... | [
{
"created": "Thu, 13 Mar 2008 06:48:50 GMT",
"version": "v1"
}
] | 2008-12-18 | [
[
"Daneshgaran",
"F.",
""
],
[
"Laddomada",
"M.",
""
],
[
"Mesiti",
"F.",
""
],
[
"Mondin",
"M.",
""
]
] | This paper presents a modified proportional fairness (PF) criterion suitable for mitigating the \textit{rate anomaly} problem of multirate IEEE 802.11 Wireless LANs employing the mandatory Distributed Coordination Function (DCF) option. Compared to the widely adopted assumption of saturated network, the proposed criter... |
2004.06871 | Chien-Sheng Wu | Chien-Sheng Wu, Steven Hoi, Richard Socher, and Caiming Xiong | TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented
Dialogue | EMNLP 2020 camera-ready | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The underlying difference of linguistic patterns between general text and
task-oriented dialogue makes existing pre-trained language models less useful
in practice. In this work, we unify nine human-human and multi-turn
task-oriented dialogue datasets for language modeling. To better model dialogue
behavior during pr... | [
{
"created": "Wed, 15 Apr 2020 04:09:05 GMT",
"version": "v1"
},
{
"created": "Wed, 29 Apr 2020 18:10:32 GMT",
"version": "v2"
},
{
"created": "Thu, 1 Oct 2020 16:34:52 GMT",
"version": "v3"
}
] | 2020-10-02 | [
[
"Wu",
"Chien-Sheng",
""
],
[
"Hoi",
"Steven",
""
],
[
"Socher",
"Richard",
""
],
[
"Xiong",
"Caiming",
""
]
] | The underlying difference of linguistic patterns between general text and task-oriented dialogue makes existing pre-trained language models less useful in practice. In this work, we unify nine human-human and multi-turn task-oriented dialogue datasets for language modeling. To better model dialogue behavior during pre-... |
2404.04869 | Yiqun Duan | Yiqun Duan, Qiang Zhang, Renjing Xu | Prompting Multi-Modal Tokens to Enhance End-to-End Autonomous Driving
Imitation Learning with LLMs | null | Published as oral presentation paper atthe 2024 IEEE International
Conference on Robotics and Automation (ICRA2024), Yokohama, Japan | null | null | cs.RO cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The utilization of Large Language Models (LLMs) within the realm of
reinforcement learning, particularly as planners, has garnered a significant
degree of attention in recent scholarly literature. However, a substantial
proportion of existing research predominantly focuses on planning models for
robotics that transmu... | [
{
"created": "Sun, 7 Apr 2024 08:31:12 GMT",
"version": "v1"
},
{
"created": "Mon, 29 Jul 2024 11:43:31 GMT",
"version": "v2"
}
] | 2024-07-30 | [
[
"Duan",
"Yiqun",
""
],
[
"Zhang",
"Qiang",
""
],
[
"Xu",
"Renjing",
""
]
] | The utilization of Large Language Models (LLMs) within the realm of reinforcement learning, particularly as planners, has garnered a significant degree of attention in recent scholarly literature. However, a substantial proportion of existing research predominantly focuses on planning models for robotics that transmute... |
1806.01357 | Jian Ren | Jian Ren, Ilker Hacihaliloglu, Eric A. Singer, David J. Foran, Xin Qi | Adversarial Domain Adaptation for Classification of Prostate
Histopathology Whole-Slide Images | Accepted to MICCAI 2018 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Automatic and accurate Gleason grading of histopathology tissue slides is
crucial for prostate cancer diagnosis, treatment, and prognosis. Usually,
histopathology tissue slides from different institutions show heterogeneous
appearances because of different tissue preparation and staining procedures,
thus the predicta... | [
{
"created": "Mon, 4 Jun 2018 20:01:09 GMT",
"version": "v1"
},
{
"created": "Wed, 6 Jun 2018 23:49:17 GMT",
"version": "v2"
}
] | 2018-06-08 | [
[
"Ren",
"Jian",
""
],
[
"Hacihaliloglu",
"Ilker",
""
],
[
"Singer",
"Eric A.",
""
],
[
"Foran",
"David J.",
""
],
[
"Qi",
"Xin",
""
]
] | Automatic and accurate Gleason grading of histopathology tissue slides is crucial for prostate cancer diagnosis, treatment, and prognosis. Usually, histopathology tissue slides from different institutions show heterogeneous appearances because of different tissue preparation and staining procedures, thus the predictabl... |
2309.02672 | Hanshen Xiao | Hanshen Xiao, Jun Wan and Srinivas Devadas | Geometry of Sensitivity: Twice Sampling and Hybrid Clipping in
Differential Privacy with Optimal Gaussian Noise and Application to Deep
Learning | null | ACM CCS 2023 | null | null | cs.CR cs.IT math.IT | http://creativecommons.org/licenses/by/4.0/ | We study the fundamental problem of the construction of optimal randomization
in Differential Privacy. Depending on the clipping strategy or additional
properties of the processing function, the corresponding sensitivity set
theoretically determines the necessary randomization to produce the required
security paramet... | [
{
"created": "Wed, 6 Sep 2023 02:45:08 GMT",
"version": "v1"
},
{
"created": "Thu, 28 Sep 2023 12:49:24 GMT",
"version": "v2"
}
] | 2023-09-29 | [
[
"Xiao",
"Hanshen",
""
],
[
"Wan",
"Jun",
""
],
[
"Devadas",
"Srinivas",
""
]
] | We study the fundamental problem of the construction of optimal randomization in Differential Privacy. Depending on the clipping strategy or additional properties of the processing function, the corresponding sensitivity set theoretically determines the necessary randomization to produce the required security parameter... |
2306.12107 | Jose Ignacio Farran | Jos\'e Ignacio Farr\'an and David Cerezo | A new color image secret sharing protocol | 6 pages, 5 figures, preprint | null | null | null | cs.CR cs.IT math.IT | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Visual cryptography aims to protect images against their possible
illegitimate use. Thus, one can cipher, hash, or add watermarks for protecting
copyright, among others. In this paper we provide a new solution to the problem
of secret sharing for the case when the secret is an image. Our method combines
the Shamir sc... | [
{
"created": "Wed, 21 Jun 2023 08:47:31 GMT",
"version": "v1"
}
] | 2023-06-22 | [
[
"Farrán",
"José Ignacio",
""
],
[
"Cerezo",
"David",
""
]
] | Visual cryptography aims to protect images against their possible illegitimate use. Thus, one can cipher, hash, or add watermarks for protecting copyright, among others. In this paper we provide a new solution to the problem of secret sharing for the case when the secret is an image. Our method combines the Shamir sche... |
2402.05978 | Rocio Alaiz-Rodriguez | M. T. Garc\'ia-Ord\'as, E. Alegre-Guti\'errez, V. Gonz\'alez-Castro,
R. Alaiz-Rodr\'iguez | Combining shape and contour features to improve tool wear monitoring in
milling processes | null | null | null | null | cs.CV cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | In this paper, a new system based on combinations of a shape descriptor and a
contour descriptor has been proposed for classifying inserts in milling
processes according to their wear level following a computer vision based
approach. To describe the wear region shape we have proposed a new descriptor
called ShapeFeat... | [
{
"created": "Wed, 7 Feb 2024 22:27:16 GMT",
"version": "v1"
}
] | 2024-02-12 | [
[
"García-Ordás",
"M. T.",
""
],
[
"Alegre-Gutiérrez",
"E.",
""
],
[
"González-Castro",
"V.",
""
],
[
"Alaiz-Rodríguez",
"R.",
""
]
] | In this paper, a new system based on combinations of a shape descriptor and a contour descriptor has been proposed for classifying inserts in milling processes according to their wear level following a computer vision based approach. To describe the wear region shape we have proposed a new descriptor called ShapeFeat a... |
2202.03807 | Maximilian Geisslinger | Alexander Wischnewski, Maximilian Geisslinger, Johannes Betz, Tobias
Betz, Felix Fent, Alexander Heilmeier, Leonhard Hermansdorfer, Thomas
Herrmann, Sebastian Huch, Phillip Karle, Felix Nobis, Levent \"Ogretmen,
Matthias Rowold, Florian Sauerbeck, Tim Stahl, Rainer Trauth, Markus
Lienkamp, Boris Lohmann | Indy Autonomous Challenge -- Autonomous Race Cars at the Handling Limits | null | null | null | null | cs.RO cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Motorsport has always been an enabler for technological advancement, and the
same applies to the autonomous driving industry. The team TUM Auton-omous
Motorsports will participate in the Indy Autonomous Challenge in Octo-ber 2021
to benchmark its self-driving software-stack by racing one out of ten
autonomous Dallara... | [
{
"created": "Tue, 8 Feb 2022 11:55:05 GMT",
"version": "v1"
}
] | 2022-02-09 | [
[
"Wischnewski",
"Alexander",
""
],
[
"Geisslinger",
"Maximilian",
""
],
[
"Betz",
"Johannes",
""
],
[
"Betz",
"Tobias",
""
],
[
"Fent",
"Felix",
""
],
[
"Heilmeier",
"Alexander",
""
],
[
"Hermansdorfer",
"Leonha... | Motorsport has always been an enabler for technological advancement, and the same applies to the autonomous driving industry. The team TUM Auton-omous Motorsports will participate in the Indy Autonomous Challenge in Octo-ber 2021 to benchmark its self-driving software-stack by racing one out of ten autonomous Dallara A... |
2407.20856 | Sarthak Anand | Sarthak Anand, Yutong Jiang, Giorgi Kokaia | Learn by Selling: Equipping Large Language Models with Product Knowledge
for Context-Driven Recommendations | null | null | null | null | cs.IR cs.AI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | The rapid evolution of large language models (LLMs) has opened up new
possibilities for applications such as context-driven product recommendations.
However, the effectiveness of these models in this context is heavily reliant
on their comprehensive understanding of the product inventory. This paper
presents a novel ... | [
{
"created": "Tue, 30 Jul 2024 14:31:53 GMT",
"version": "v1"
}
] | 2024-07-31 | [
[
"Anand",
"Sarthak",
""
],
[
"Jiang",
"Yutong",
""
],
[
"Kokaia",
"Giorgi",
""
]
] | The rapid evolution of large language models (LLMs) has opened up new possibilities for applications such as context-driven product recommendations. However, the effectiveness of these models in this context is heavily reliant on their comprehensive understanding of the product inventory. This paper presents a novel ap... |
2407.15660 | Claudius Kienle | Claudius Kienle, Benjamin Alt, Onur Celik, Philipp Becker, Darko
Katic, Rainer J\"akel and Gerhard Neumann | MuTT: A Multimodal Trajectory Transformer for Robot Skills | null | null | null | null | cs.RO cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | High-level robot skills represent an increasingly popular paradigm in robot
programming. However, configuring the skills' parameters for a specific task
remains a manual and time-consuming endeavor. Existing approaches for learning
or optimizing these parameters often require numerous real-world executions or
do not ... | [
{
"created": "Mon, 22 Jul 2024 14:18:52 GMT",
"version": "v1"
}
] | 2024-07-23 | [
[
"Kienle",
"Claudius",
""
],
[
"Alt",
"Benjamin",
""
],
[
"Celik",
"Onur",
""
],
[
"Becker",
"Philipp",
""
],
[
"Katic",
"Darko",
""
],
[
"Jäkel",
"Rainer",
""
],
[
"Neumann",
"Gerhard",
""
]
] | High-level robot skills represent an increasingly popular paradigm in robot programming. However, configuring the skills' parameters for a specific task remains a manual and time-consuming endeavor. Existing approaches for learning or optimizing these parameters often require numerous real-world executions or do not wo... |
2306.12014 | Nigel Fernandez | Sneha Singhania, Nigel Fernandez, Shrisha Rao | 3HAN: A Deep Neural Network for Fake News Detection | Published as a conference paper at ICONIP 2017 | null | 10.1007/978-3-319-70096-0_59 | null | cs.LG cs.CL cs.SI | http://creativecommons.org/licenses/by/4.0/ | The rapid spread of fake news is a serious problem calling for AI solutions.
We employ a deep learning based automated detector through a three level
hierarchical attention network (3HAN) for fast, accurate detection of fake
news. 3HAN has three levels, one each for words, sentences, and the headline,
and constructs ... | [
{
"created": "Wed, 21 Jun 2023 04:34:27 GMT",
"version": "v1"
}
] | 2023-06-22 | [
[
"Singhania",
"Sneha",
""
],
[
"Fernandez",
"Nigel",
""
],
[
"Rao",
"Shrisha",
""
]
] | The rapid spread of fake news is a serious problem calling for AI solutions. We employ a deep learning based automated detector through a three level hierarchical attention network (3HAN) for fast, accurate detection of fake news. 3HAN has three levels, one each for words, sentences, and the headline, and constructs a ... |
2407.10775 | Marco Mussi | Alessandro Montenegro and Marco Mussi and Matteo Papini and Alberto
Maria Metelli | Last-Iterate Global Convergence of Policy Gradients for Constrained
Reinforcement Learning | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Constrained Reinforcement Learning (CRL) tackles sequential decision-making
problems where agents are required to achieve goals by maximizing the expected
return while meeting domain-specific constraints, which are often formulated as
expected costs. In this setting, policy-based methods are widely used since
they co... | [
{
"created": "Mon, 15 Jul 2024 14:54:57 GMT",
"version": "v1"
}
] | 2024-07-16 | [
[
"Montenegro",
"Alessandro",
""
],
[
"Mussi",
"Marco",
""
],
[
"Papini",
"Matteo",
""
],
[
"Metelli",
"Alberto Maria",
""
]
] | Constrained Reinforcement Learning (CRL) tackles sequential decision-making problems where agents are required to achieve goals by maximizing the expected return while meeting domain-specific constraints, which are often formulated as expected costs. In this setting, policy-based methods are widely used since they come... |
1806.10447 | Alexey Gruzdev | Sergey Zherzdev and Alexey Gruzdev | LPRNet: License Plate Recognition via Deep Neural Networks | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper proposes LPRNet - end-to-end method for Automatic License Plate
Recognition without preliminary character segmentation. Our approach is
inspired by recent breakthroughs in Deep Neural Networks, and works in
real-time with recognition accuracy up to 95% for Chinese license plates: 3
ms/plate on nVIDIA GeFor... | [
{
"created": "Wed, 27 Jun 2018 12:57:17 GMT",
"version": "v1"
}
] | 2018-06-28 | [
[
"Zherzdev",
"Sergey",
""
],
[
"Gruzdev",
"Alexey",
""
]
] | This paper proposes LPRNet - end-to-end method for Automatic License Plate Recognition without preliminary character segmentation. Our approach is inspired by recent breakthroughs in Deep Neural Networks, and works in real-time with recognition accuracy up to 95% for Chinese license plates: 3 ms/plate on nVIDIA GeForce... |
2211.14646 | Sriram Balasubramanian | Sriram Balasubramanian and Soheil Feizi | Towards Improved Input Masking for Convolutional Neural Networks | 29 pages, 19 figures. Accepted at ICCV 2023 | null | null | null | cs.CV cs.AI | http://creativecommons.org/licenses/by/4.0/ | The ability to remove features from the input of machine learning models is
very important to understand and interpret model predictions. However, this is
non-trivial for vision models since masking out parts of the input image
typically causes large distribution shifts. This is because the baseline color
used for ma... | [
{
"created": "Sat, 26 Nov 2022 19:31:49 GMT",
"version": "v1"
},
{
"created": "Sun, 16 Jul 2023 05:40:44 GMT",
"version": "v2"
},
{
"created": "Sun, 29 Oct 2023 22:11:33 GMT",
"version": "v3"
}
] | 2023-10-31 | [
[
"Balasubramanian",
"Sriram",
""
],
[
"Feizi",
"Soheil",
""
]
] | The ability to remove features from the input of machine learning models is very important to understand and interpret model predictions. However, this is non-trivial for vision models since masking out parts of the input image typically causes large distribution shifts. This is because the baseline color used for mask... |
2111.01364 | Juncheng Liu Dr | Liu Juncheng, McCane Brendan, Mills Steven | Learning to Explore by Reinforcement over High-Level Options | null | null | null | null | cs.AI | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Autonomous 3D environment exploration is a fundamental task for various
applications such as navigation. The goal of exploration is to investigate a
new environment and build its occupancy map efficiently. In this paper, we
propose a new method which grants an agent two intertwined options of
behaviors: "look-around"... | [
{
"created": "Tue, 2 Nov 2021 04:21:34 GMT",
"version": "v1"
}
] | 2021-11-03 | [
[
"Juncheng",
"Liu",
""
],
[
"Brendan",
"McCane",
""
],
[
"Steven",
"Mills",
""
]
] | Autonomous 3D environment exploration is a fundamental task for various applications such as navigation. The goal of exploration is to investigate a new environment and build its occupancy map efficiently. In this paper, we propose a new method which grants an agent two intertwined options of behaviors: "look-around" a... |
2210.03516 | Felix Chalumeau | Felix Chalumeau, Raphael Boige, Bryan Lim, Valentin Mac\'e, Maxime
Allard, Arthur Flajolet, Antoine Cully, Thomas Pierrot | Neuroevolution is a Competitive Alternative to Reinforcement Learning
for Skill Discovery | Camera ready version for ICLR2023 (spotlight) | null | null | null | cs.NE cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep Reinforcement Learning (RL) has emerged as a powerful paradigm for
training neural policies to solve complex control tasks. However, these
policies tend to be overfit to the exact specifications of the task and
environment they were trained on, and thus do not perform well when conditions
deviate slightly or whe... | [
{
"created": "Thu, 6 Oct 2022 11:06:39 GMT",
"version": "v1"
},
{
"created": "Fri, 31 Mar 2023 08:55:33 GMT",
"version": "v2"
},
{
"created": "Thu, 15 Jun 2023 12:08:19 GMT",
"version": "v3"
},
{
"created": "Fri, 8 Sep 2023 09:33:41 GMT",
"version": "v4"
}
] | 2023-09-11 | [
[
"Chalumeau",
"Felix",
""
],
[
"Boige",
"Raphael",
""
],
[
"Lim",
"Bryan",
""
],
[
"Macé",
"Valentin",
""
],
[
"Allard",
"Maxime",
""
],
[
"Flajolet",
"Arthur",
""
],
[
"Cully",
"Antoine",
""
],
[
"P... | Deep Reinforcement Learning (RL) has emerged as a powerful paradigm for training neural policies to solve complex control tasks. However, these policies tend to be overfit to the exact specifications of the task and environment they were trained on, and thus do not perform well when conditions deviate slightly or when ... |
2111.08794 | \.Inci M. Bayta\c{s} | Deniz Sezin Ayvaz and Inci M. Baytas | Investigating Conversion from Mild Cognitive Impairment to Alzheimer's
Disease using Latent Space Manipulation | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Alzheimer's disease is the most common cause of dementia that affects
millions of lives worldwide. Investigating the underlying causes and risk
factors of Alzheimer's disease is essential to prevent its progression. Mild
Cognitive Impairment (MCI) is considered an intermediate stage before
Alzheimer's disease. Early ... | [
{
"created": "Tue, 16 Nov 2021 21:48:09 GMT",
"version": "v1"
},
{
"created": "Sun, 20 Aug 2023 19:40:45 GMT",
"version": "v2"
}
] | 2023-08-22 | [
[
"Ayvaz",
"Deniz Sezin",
""
],
[
"Baytas",
"Inci M.",
""
]
] | Alzheimer's disease is the most common cause of dementia that affects millions of lives worldwide. Investigating the underlying causes and risk factors of Alzheimer's disease is essential to prevent its progression. Mild Cognitive Impairment (MCI) is considered an intermediate stage before Alzheimer's disease. Early pr... |
1605.06245 | Christophe Limbree LCh | Christophe Limbree and Quentin Cappart and Charles Pecheur and Stefano
Tonetta | Verification of railway interlocking - Compositional approach with OCRA | 16 pages | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the railway domain, an electronic interlocking is a computerised system
that controls the railway signalling components (e.g. switches or signals) in
order to allow a safe operation of the train traffic. Interlockings are
controlled by a software logic that relies on a generic software and a set of
application dat... | [
{
"created": "Fri, 20 May 2016 08:46:43 GMT",
"version": "v1"
}
] | 2016-05-23 | [
[
"Limbree",
"Christophe",
""
],
[
"Cappart",
"Quentin",
""
],
[
"Pecheur",
"Charles",
""
],
[
"Tonetta",
"Stefano",
""
]
] | In the railway domain, an electronic interlocking is a computerised system that controls the railway signalling components (e.g. switches or signals) in order to allow a safe operation of the train traffic. Interlockings are controlled by a software logic that relies on a generic software and a set of application data ... |
2211.13203 | Yuxin Zhang | Yuxin Zhang, Nisha Huang, Fan Tang, Haibin Huang, Chongyang Ma,
Weiming Dong, Changsheng Xu | Inversion-Based Style Transfer with Diffusion Models | accepted by CVPR 2023 | null | null | null | cs.CV cs.GR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The artistic style within a painting is the means of expression, which
includes not only the painting material, colors, and brushstrokes, but also the
high-level attributes including semantic elements, object shapes, etc. Previous
arbitrary example-guided artistic image generation methods often fail to
control shape ... | [
{
"created": "Wed, 23 Nov 2022 18:44:25 GMT",
"version": "v1"
},
{
"created": "Thu, 9 Mar 2023 13:44:11 GMT",
"version": "v2"
},
{
"created": "Mon, 20 Mar 2023 14:32:01 GMT",
"version": "v3"
}
] | 2023-03-21 | [
[
"Zhang",
"Yuxin",
""
],
[
"Huang",
"Nisha",
""
],
[
"Tang",
"Fan",
""
],
[
"Huang",
"Haibin",
""
],
[
"Ma",
"Chongyang",
""
],
[
"Dong",
"Weiming",
""
],
[
"Xu",
"Changsheng",
""
]
] | The artistic style within a painting is the means of expression, which includes not only the painting material, colors, and brushstrokes, but also the high-level attributes including semantic elements, object shapes, etc. Previous arbitrary example-guided artistic image generation methods often fail to control shape ch... |
2312.16415 | Matthew Ding | Matthew Ding and Jason Li | Deterministic Minimum Steiner Cut in Maximum Flow Time | 18 pages, 1 figure, to appear at ESA 2024 | null | null | null | cs.DS cs.DM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We devise a deterministic algorithm for minimum Steiner cut, which uses
$(\log n)^{O(1)}$ maximum flow calls and additional near-linear time. This
algorithm improves on Li and Panigrahi's (FOCS 2020) algorithm, which uses
$(\log n)^{O(1/\epsilon^4)}$ maximum flow calls and additional
$O(m^{1+\epsilon})$ time, for $\e... | [
{
"created": "Wed, 27 Dec 2023 05:27:22 GMT",
"version": "v1"
},
{
"created": "Mon, 1 Jul 2024 21:22:13 GMT",
"version": "v2"
}
] | 2024-07-03 | [
[
"Ding",
"Matthew",
""
],
[
"Li",
"Jason",
""
]
] | We devise a deterministic algorithm for minimum Steiner cut, which uses $(\log n)^{O(1)}$ maximum flow calls and additional near-linear time. This algorithm improves on Li and Panigrahi's (FOCS 2020) algorithm, which uses $(\log n)^{O(1/\epsilon^4)}$ maximum flow calls and additional $O(m^{1+\epsilon})$ time, for $\eps... |
2009.03260 | Tarun Kathuria | Tarun Kathuria | A Potential Reduction Inspired Algorithm for Exact Max Flow in Almost
$\widetilde{O}(m^{4/3})$ Time | null | null | null | null | cs.DS math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present an algorithm for computing $s$-$t$ maximum flows in directed
graphs in $\widetilde{O}(m^{4/3+o(1)}U^{1/3})$ time. Our algorithm is inspired
by potential reduction interior point methods for linear programming. Instead
of using scaled gradient/Newton steps of a potential function, we take the step
which max... | [
{
"created": "Mon, 7 Sep 2020 17:31:24 GMT",
"version": "v1"
}
] | 2020-09-08 | [
[
"Kathuria",
"Tarun",
""
]
] | We present an algorithm for computing $s$-$t$ maximum flows in directed graphs in $\widetilde{O}(m^{4/3+o(1)}U^{1/3})$ time. Our algorithm is inspired by potential reduction interior point methods for linear programming. Instead of using scaled gradient/Newton steps of a potential function, we take the step which maxim... |
2109.14133 | Sarkhan Badirli | Sarkhan Badirli, Zeynep Akata, George Mohler, Christine Picard, Murat
Dundar | Fine-Grained Zero-Shot Learning with DNA as Side Information | Accepted to NeurIPS 2021 | null | null | null | cs.CV cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Fine-grained zero-shot learning task requires some form of side-information
to transfer discriminative information from seen to unseen classes. As manually
annotated visual attributes are extremely costly and often impractical to
obtain for a large number of classes, in this study we use DNA as side
information for t... | [
{
"created": "Wed, 29 Sep 2021 01:45:22 GMT",
"version": "v1"
}
] | 2021-09-30 | [
[
"Badirli",
"Sarkhan",
""
],
[
"Akata",
"Zeynep",
""
],
[
"Mohler",
"George",
""
],
[
"Picard",
"Christine",
""
],
[
"Dundar",
"Murat",
""
]
] | Fine-grained zero-shot learning task requires some form of side-information to transfer discriminative information from seen to unseen classes. As manually annotated visual attributes are extremely costly and often impractical to obtain for a large number of classes, in this study we use DNA as side information for the... |
2306.01798 | David Woo | David James Woo, Kai Guo, Hengky Susanto | Exploring EFL students' prompt engineering in human-AI story writing: an
Activity Theory perspective | 44 pages, 9 figures | Interactive_Learning_Environments (2024) 1_20 | 10.1080/10494820.2024.2361381 | null | cs.CY cs.AI | http://creativecommons.org/licenses/by-nc-nd/4.0/ | This study applies Activity Theory to investigate how English as a foreign
language (EFL) students prompt generative artificial intelligence (AI) tools
during short story writing. Sixty-seven Hong Kong secondary school students
created generative-AI tools using open-source language models and wrote short
stories with... | [
{
"created": "Thu, 1 Jun 2023 14:52:28 GMT",
"version": "v1"
},
{
"created": "Sat, 10 Feb 2024 14:13:43 GMT",
"version": "v2"
}
] | 2024-07-03 | [
[
"Woo",
"David James",
""
],
[
"Guo",
"Kai",
""
],
[
"Susanto",
"Hengky",
""
]
] | This study applies Activity Theory to investigate how English as a foreign language (EFL) students prompt generative artificial intelligence (AI) tools during short story writing. Sixty-seven Hong Kong secondary school students created generative-AI tools using open-source language models and wrote short stories with t... |
cs/0404057 | Marcus Hutter | Jan Poland and Marcus Hutter | Convergence of Discrete MDL for Sequential Prediction | 17 pages | Proc. 17th Annual Conf. on Learning Theory (COLT-2004), pages
300--314 | null | IDSIA-03-04 | cs.LG cs.AI math.ST stat.TH | null | We study the properties of the Minimum Description Length principle for
sequence prediction, considering a two-part MDL estimator which is chosen from
a countable class of models. This applies in particular to the important case
of universal sequence prediction, where the model class corresponds to all
algorithms for... | [
{
"created": "Wed, 28 Apr 2004 15:58:35 GMT",
"version": "v1"
}
] | 2011-11-09 | [
[
"Poland",
"Jan",
""
],
[
"Hutter",
"Marcus",
""
]
] | We study the properties of the Minimum Description Length principle for sequence prediction, considering a two-part MDL estimator which is chosen from a countable class of models. This applies in particular to the important case of universal sequence prediction, where the model class corresponds to all algorithms for s... |
1209.4922 | Mazen Alamir Prof | Mazen Alamir | Monitoring Control Updating Period In Fast Gradient Based NMPC | 6 pages, 8 Figures | Proceedings of the European Control Conference, Zurich, 2013 | null | null | cs.SY cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, a method is proposed for on-line monitoring of the control
updating period in fast-gradient-based Model Predictive Control (MPC) schemes.
Such schemes are currently under intense investigation as a way to accommodate
for real-time requirements when dealing with systems showing fast dynamics. The
method... | [
{
"created": "Fri, 21 Sep 2012 21:22:56 GMT",
"version": "v1"
}
] | 2013-09-20 | [
[
"Alamir",
"Mazen",
""
]
] | In this paper, a method is proposed for on-line monitoring of the control updating period in fast-gradient-based Model Predictive Control (MPC) schemes. Such schemes are currently under intense investigation as a way to accommodate for real-time requirements when dealing with systems showing fast dynamics. The method n... |
2301.11569 | Dmitry Tanana | Dmitry Tanana | Vulnerablity analysis of Azure Blockchain Workbench key management
system | 4 pages, 2 figures, 1 table | null | null | null | cs.CR | http://creativecommons.org/licenses/by-nc-sa/4.0/ | With rise of blockchain popularity, more and more people seek to implement
blockchain technology into their projects. Most common way is to take existing
blockchain stack, such as Azure Blockchain Workbench or Oracle Blockchain
Platform. While the blockchain technology is well-protected by its algorithms
it is still ... | [
{
"created": "Fri, 27 Jan 2023 07:29:37 GMT",
"version": "v1"
}
] | 2023-01-30 | [
[
"Tanana",
"Dmitry",
""
]
] | With rise of blockchain popularity, more and more people seek to implement blockchain technology into their projects. Most common way is to take existing blockchain stack, such as Azure Blockchain Workbench or Oracle Blockchain Platform. While the blockchain technology is well-protected by its algorithms it is still vu... |
2303.02657 | Sicong Liu | Xiao Tang, Sicong Liu, Xiaojiang Du, Mohsen Guizani | Sparsity-Aware Intelligent Massive Random Access Control in Open RAN: A
Reinforcement Learning Based Approach | This paper has been submitted to IEEE Journal on Selected Areas in
Communications | null | null | null | cs.LG cs.AI cs.IT cs.NI eess.SP math.IT | http://creativecommons.org/licenses/by/4.0/ | Massive random access of devices in the emerging Open Radio Access Network
(O-RAN) brings great challenge to the access control and management. Exploiting
the bursting nature of the access requests, sparse active user detection (SAUD)
is an efficient enabler towards efficient access management, but the sparsity
might... | [
{
"created": "Sun, 5 Mar 2023 12:25:49 GMT",
"version": "v1"
}
] | 2023-03-07 | [
[
"Tang",
"Xiao",
""
],
[
"Liu",
"Sicong",
""
],
[
"Du",
"Xiaojiang",
""
],
[
"Guizani",
"Mohsen",
""
]
] | Massive random access of devices in the emerging Open Radio Access Network (O-RAN) brings great challenge to the access control and management. Exploiting the bursting nature of the access requests, sparse active user detection (SAUD) is an efficient enabler towards efficient access management, but the sparsity might b... |
2212.12669 | Ying Wen | Ying Wen, Ziyu Wan, Ming Zhou, Shufang Hou, Zhe Cao, Chenyang Le,
Jingxiao Chen, Zheng Tian, Weinan Zhang, Jun Wang | On Realization of Intelligent Decision-Making in the Real World: A
Foundation Decision Model Perspective | 26 pages, 4 figures | null | null | null | cs.AI cs.LG | http://creativecommons.org/licenses/by-sa/4.0/ | The pervasive uncertainty and dynamic nature of real-world environments
present significant challenges for the widespread implementation of
machine-driven Intelligent Decision-Making (IDM) systems. Consequently, IDM
should possess the ability to continuously acquire new skills and effectively
generalize across a broa... | [
{
"created": "Sat, 24 Dec 2022 06:16:45 GMT",
"version": "v1"
},
{
"created": "Tue, 16 May 2023 07:03:19 GMT",
"version": "v2"
}
] | 2023-05-17 | [
[
"Wen",
"Ying",
""
],
[
"Wan",
"Ziyu",
""
],
[
"Zhou",
"Ming",
""
],
[
"Hou",
"Shufang",
""
],
[
"Cao",
"Zhe",
""
],
[
"Le",
"Chenyang",
""
],
[
"Chen",
"Jingxiao",
""
],
[
"Tian",
"Zheng",
"... | The pervasive uncertainty and dynamic nature of real-world environments present significant challenges for the widespread implementation of machine-driven Intelligent Decision-Making (IDM) systems. Consequently, IDM should possess the ability to continuously acquire new skills and effectively generalize across a broad ... |
2109.03468 | Florian Holzinger | Florian Holzinger, Michael Kommenda | Preprocessing and Modeling of Radial Fan Data for Health State
Prediction | International Conference on Computer Aided Systems Theory, Eurocast
2019, pp 312-318 | In: Moreno-D\'iaz R. et al (eds) Computer Aided Systems Theory,
Eurocast 2019. Lecture Notes in Computer Science, vol 12013 (2020) | 10.1007/978-3-030-45093-9_38 | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Monitoring critical components of systems is a crucial step towards failure
safety. Affordable sensors are available and the industry is in the process of
introducing and extending monitoring solutions to improve product quality.
Often, no expertise of how much data is required for a certain task (e.g.
monitoring) ex... | [
{
"created": "Wed, 8 Sep 2021 07:37:18 GMT",
"version": "v1"
}
] | 2021-09-09 | [
[
"Holzinger",
"Florian",
""
],
[
"Kommenda",
"Michael",
""
]
] | Monitoring critical components of systems is a crucial step towards failure safety. Affordable sensors are available and the industry is in the process of introducing and extending monitoring solutions to improve product quality. Often, no expertise of how much data is required for a certain task (e.g. monitoring) exis... |
2106.15883 | Jack Parker-Holder | Jack Parker-Holder and Vu Nguyen and Shaan Desai and Stephen Roberts | Tuning Mixed Input Hyperparameters on the Fly for Efficient Population
Based AutoRL | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Despite a series of recent successes in reinforcement learning (RL), many RL
algorithms remain sensitive to hyperparameters. As such, there has recently
been interest in the field of AutoRL, which seeks to automate design decisions
to create more general algorithms. Recent work suggests that population based
approach... | [
{
"created": "Wed, 30 Jun 2021 08:15:59 GMT",
"version": "v1"
}
] | 2021-07-01 | [
[
"Parker-Holder",
"Jack",
""
],
[
"Nguyen",
"Vu",
""
],
[
"Desai",
"Shaan",
""
],
[
"Roberts",
"Stephen",
""
]
] | Despite a series of recent successes in reinforcement learning (RL), many RL algorithms remain sensitive to hyperparameters. As such, there has recently been interest in the field of AutoRL, which seeks to automate design decisions to create more general algorithms. Recent work suggests that population based approaches... |
2304.08085 | Xiao Wang | Xiao Wang, Weikang Zhou, Can Zu, Han Xia, Tianze Chen, Yuansen Zhang,
Rui Zheng, Junjie Ye, Qi Zhang, Tao Gui, Jihua Kang, Jingsheng Yang, Siyuan
Li, Chunsai Du | InstructUIE: Multi-task Instruction Tuning for Unified Information
Extraction | null | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large language models have unlocked strong multi-task capabilities from
reading instructive prompts. However, recent studies have shown that existing
large models still have difficulty with information extraction tasks. For
example, gpt-3.5-turbo achieved an F1 score of 18.22 on the Ontonotes dataset,
which is signif... | [
{
"created": "Mon, 17 Apr 2023 09:00:50 GMT",
"version": "v1"
}
] | 2023-04-18 | [
[
"Wang",
"Xiao",
""
],
[
"Zhou",
"Weikang",
""
],
[
"Zu",
"Can",
""
],
[
"Xia",
"Han",
""
],
[
"Chen",
"Tianze",
""
],
[
"Zhang",
"Yuansen",
""
],
[
"Zheng",
"Rui",
""
],
[
"Ye",
"Junjie",
""... | Large language models have unlocked strong multi-task capabilities from reading instructive prompts. However, recent studies have shown that existing large models still have difficulty with information extraction tasks. For example, gpt-3.5-turbo achieved an F1 score of 18.22 on the Ontonotes dataset, which is signific... |
2407.02648 | Yicheng Zeng | Yuhao Huang, Yicheng Zeng, Xiaobin Xiong | STRIDE: An Open-Source, Low-Cost, and Versatile Bipedal Robot Platform
for Research and Education | 8 pages, 8 figures | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we present STRIDE, a Simple, Terrestrial, Reconfigurable,
Intelligent, Dynamic, and Educational bipedal platform. STRIDE aims to propel
bipedal robotics research and education by providing a cost-effective
implementation with step-by-step instructions for building a bipedal robotic
platform while provi... | [
{
"created": "Tue, 2 Jul 2024 20:29:42 GMT",
"version": "v1"
}
] | 2024-07-04 | [
[
"Huang",
"Yuhao",
""
],
[
"Zeng",
"Yicheng",
""
],
[
"Xiong",
"Xiaobin",
""
]
] | In this paper, we present STRIDE, a Simple, Terrestrial, Reconfigurable, Intelligent, Dynamic, and Educational bipedal platform. STRIDE aims to propel bipedal robotics research and education by providing a cost-effective implementation with step-by-step instructions for building a bipedal robotic platform while providi... |
2208.09910 | Lihe Yang | Lihe Yang, Lei Qi, Litong Feng, Wayne Zhang, Yinghuan Shi | Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic
Segmentation | Accepted by CVPR 2023. Code and logs:
https://github.com/LiheYoung/UniMatch | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work, we revisit the weak-to-strong consistency framework,
popularized by FixMatch from semi-supervised classification, where the
prediction of a weakly perturbed image serves as supervision for its strongly
perturbed version. Intriguingly, we observe that such a simple pipeline already
achieves competitive r... | [
{
"created": "Sun, 21 Aug 2022 15:32:43 GMT",
"version": "v1"
},
{
"created": "Sun, 26 Mar 2023 07:10:13 GMT",
"version": "v2"
}
] | 2023-03-28 | [
[
"Yang",
"Lihe",
""
],
[
"Qi",
"Lei",
""
],
[
"Feng",
"Litong",
""
],
[
"Zhang",
"Wayne",
""
],
[
"Shi",
"Yinghuan",
""
]
] | In this work, we revisit the weak-to-strong consistency framework, popularized by FixMatch from semi-supervised classification, where the prediction of a weakly perturbed image serves as supervision for its strongly perturbed version. Intriguingly, we observe that such a simple pipeline already achieves competitive res... |
1910.14520 | Mo Yu | Haoyu Wang, Mo Yu, Xiaoxiao Guo, Rajarshi Das, Wenhan Xiong, Tian Gao | Do Multi-hop Readers Dream of Reasoning Chains? | Accepted by MRQA Workshop 2019 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | General Question Answering (QA) systems over texts require the multi-hop
reasoning capability, i.e. the ability to reason with information collected
from multiple passages to derive the answer. In this paper we conduct a
systematic analysis to assess such an ability of various existing models
proposed for multi-hop Q... | [
{
"created": "Thu, 31 Oct 2019 15:02:49 GMT",
"version": "v1"
}
] | 2019-11-01 | [
[
"Wang",
"Haoyu",
""
],
[
"Yu",
"Mo",
""
],
[
"Guo",
"Xiaoxiao",
""
],
[
"Das",
"Rajarshi",
""
],
[
"Xiong",
"Wenhan",
""
],
[
"Gao",
"Tian",
""
]
] | General Question Answering (QA) systems over texts require the multi-hop reasoning capability, i.e. the ability to reason with information collected from multiple passages to derive the answer. In this paper we conduct a systematic analysis to assess such an ability of various existing models proposed for multi-hop QA ... |
2107.14039 | Joost Visser | Olivier Koster and Ruud Kosman and Joost Visser | A Checklist for Explainable AI in the Insurance Domain | Preprint of short paper for QUATIC 2021 conference | null | null | null | cs.CY | http://creativecommons.org/licenses/by/4.0/ | Artificial intelligence (AI) is a powerful tool to accomplish a great many
tasks. This exciting branch of technology is being adopted increasingly across
varying sectors, including the insurance domain. With that power arise several
complications. One of which is a lack of transparency and explainability of an
algori... | [
{
"created": "Sun, 18 Jul 2021 10:19:04 GMT",
"version": "v1"
}
] | 2021-07-30 | [
[
"Koster",
"Olivier",
""
],
[
"Kosman",
"Ruud",
""
],
[
"Visser",
"Joost",
""
]
] | Artificial intelligence (AI) is a powerful tool to accomplish a great many tasks. This exciting branch of technology is being adopted increasingly across varying sectors, including the insurance domain. With that power arise several complications. One of which is a lack of transparency and explainability of an algorith... |
2203.09227 | Furong Ye | Furong Ye and Diederick L. Vermetten and Carola Doerr and Thomas
B\"ack | Non-Elitist Selection Can Improve the Performance of Irace | PPSN 2022 | null | null | null | cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Modern optimization strategies such as evolutionary algorithms, ant colony
algorithms, Bayesian optimization techniques, etc. come with several parameters
that steer their behavior during the optimization process. To obtain
high-performing algorithm instances, automated algorithm configuration
techniques have been de... | [
{
"created": "Thu, 17 Mar 2022 10:34:30 GMT",
"version": "v1"
},
{
"created": "Sun, 17 Apr 2022 20:29:41 GMT",
"version": "v2"
},
{
"created": "Sat, 25 Jun 2022 23:45:24 GMT",
"version": "v3"
}
] | 2022-06-28 | [
[
"Ye",
"Furong",
""
],
[
"Vermetten",
"Diederick L.",
""
],
[
"Doerr",
"Carola",
""
],
[
"Bäck",
"Thomas",
""
]
] | Modern optimization strategies such as evolutionary algorithms, ant colony algorithms, Bayesian optimization techniques, etc. come with several parameters that steer their behavior during the optimization process. To obtain high-performing algorithm instances, automated algorithm configuration techniques have been deve... |
2107.14283 | Kristina Sojakova | Kristina Sojakova | Syllepsis in Homotopy Type Theory | null | null | null | null | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | It is well-known that in homotopy type theory (HoTT), one can prove the
Eckmann-Hilton theorem: given two 2-loops p, q : 1 = 1 on the reflexivity path
at an arbitrary point a : A, we have pq = qp. If we go one dimension higher,
i.e., if p and q are 3-loops, we show that a property classically known as
syllepsis also ... | [
{
"created": "Thu, 29 Jul 2021 19:03:02 GMT",
"version": "v1"
}
] | 2021-08-02 | [
[
"Sojakova",
"Kristina",
""
]
] | It is well-known that in homotopy type theory (HoTT), one can prove the Eckmann-Hilton theorem: given two 2-loops p, q : 1 = 1 on the reflexivity path at an arbitrary point a : A, we have pq = qp. If we go one dimension higher, i.e., if p and q are 3-loops, we show that a property classically known as syllepsis also ho... |
2211.07491 | Yigit Baran Can | Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool | Piecewise Planar Hulls for Semi-Supervised Learning of 3D Shape and Pose
from 2D Images | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the problem of estimating 3D shape and pose of an object in terms of
keypoints, from a single 2D image.
The shape and pose are learned directly from images collected by categories
and their partial 2D keypoint annotations.. In this work, we first propose an
end-to-end training framework for intermediate 2D... | [
{
"created": "Mon, 14 Nov 2022 16:18:11 GMT",
"version": "v1"
}
] | 2022-11-15 | [
[
"Can",
"Yigit Baran",
""
],
[
"Liniger",
"Alexander",
""
],
[
"Paudel",
"Danda Pani",
""
],
[
"Van Gool",
"Luc",
""
]
] | We study the problem of estimating 3D shape and pose of an object in terms of keypoints, from a single 2D image. The shape and pose are learned directly from images collected by categories and their partial 2D keypoint annotations.. In this work, we first propose an end-to-end training framework for intermediate 2D key... |
2312.08200 | Yunchen Li | Yunchen Li, Zhou Yu, Gaoqi He, Yunhang Shen, Ke Li, Xing Sun, Shaohui
Lin | SPD-DDPM: Denoising Diffusion Probabilistic Models in the Symmetric
Positive Definite Space | AAAI2024 | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Symmetric positive definite~(SPD) matrices have shown important value and
applications in statistics and machine learning, such as FMRI analysis and
traffic prediction. Previous works on SPD matrices mostly focus on
discriminative models, where predictions are made directly on $E(X|y)$, where
$y$ is a vector and $X$ ... | [
{
"created": "Wed, 13 Dec 2023 15:08:54 GMT",
"version": "v1"
}
] | 2023-12-14 | [
[
"Li",
"Yunchen",
""
],
[
"Yu",
"Zhou",
""
],
[
"He",
"Gaoqi",
""
],
[
"Shen",
"Yunhang",
""
],
[
"Li",
"Ke",
""
],
[
"Sun",
"Xing",
""
],
[
"Lin",
"Shaohui",
""
]
] | Symmetric positive definite~(SPD) matrices have shown important value and applications in statistics and machine learning, such as FMRI analysis and traffic prediction. Previous works on SPD matrices mostly focus on discriminative models, where predictions are made directly on $E(X|y)$, where $y$ is a vector and $X$ is... |
2103.08469 | Alexander Barbie | Alexander Barbie, Niklas Pech, Wilhelm Hasselbring, Sascha Fl\"ogel,
Frank Wenzh\"ofer, Michael Walter, Elena Shchekinova, Marc Busse, Matthias
T\"urk, Michael Hofbauer, Stefan Sommer | Developing an Underwater Network of Ocean Observation Systems with
Digital Twin Prototypes -- A Field Report from the Baltic Sea | 8 pages, 5 figures, to be published in IEEE Internet Computing | null | 10.1109/MIC.2021.3065245 | null | cs.SE cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | During the research cruise AL547 with RV ALKOR (October 20-31, 2020), a
collaborative underwater network of ocean observation systems was deployed in
Boknis Eck (SW Baltic Sea, German exclusive economic zone (EEZ)) in the context
of the project ARCHES (Autonomous Robotic Networks to Help Modern Societies).
This netwo... | [
{
"created": "Mon, 15 Mar 2021 15:45:49 GMT",
"version": "v1"
}
] | 2021-03-16 | [
[
"Barbie",
"Alexander",
""
],
[
"Pech",
"Niklas",
""
],
[
"Hasselbring",
"Wilhelm",
""
],
[
"Flögel",
"Sascha",
""
],
[
"Wenzhöfer",
"Frank",
""
],
[
"Walter",
"Michael",
""
],
[
"Shchekinova",
"Elena",
""
... | During the research cruise AL547 with RV ALKOR (October 20-31, 2020), a collaborative underwater network of ocean observation systems was deployed in Boknis Eck (SW Baltic Sea, German exclusive economic zone (EEZ)) in the context of the project ARCHES (Autonomous Robotic Networks to Help Modern Societies). This network... |
2010.00866 | Wolfgang Fuhl | Wolfgang Fuhl, Enkelejda Kasneci | Weight and Gradient Centralization in Deep Neural Networks | null | null | null | null | cs.CV cs.LG eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Batch normalization is currently the most widely used variant of internal
normalization for deep neural networks. Additional work has shown that the
normalization of weights and additional conditioning as well as the
normalization of gradients further improve the generalization. In this work, we
combine several of th... | [
{
"created": "Fri, 2 Oct 2020 08:50:04 GMT",
"version": "v1"
},
{
"created": "Fri, 30 Oct 2020 14:13:39 GMT",
"version": "v2"
},
{
"created": "Sun, 17 Jan 2021 12:05:14 GMT",
"version": "v3"
}
] | 2021-01-19 | [
[
"Fuhl",
"Wolfgang",
""
],
[
"Kasneci",
"Enkelejda",
""
]
] | Batch normalization is currently the most widely used variant of internal normalization for deep neural networks. Additional work has shown that the normalization of weights and additional conditioning as well as the normalization of gradients further improve the generalization. In this work, we combine several of thes... |
2008.01701 | Aupendu Kar | Aupendu Kar, Sobhan Kanti Dhara, Debashis Sen, Prabir Kumar Biswas | Progressive Update Guided Interdependent Networks for Single Image
Dehazing | First two authors contributed equally. This work has been submitted
to the IEEE for possible publication. Copyright may be transferred without
notice, after which this version may no longer be accessible. Project
Website: https://aupendu.github.io/progressive-dehaze | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Images with haze of different varieties often pose a significant challenge to
dehazing. Therefore, guidance by estimates of haze parameters related to the
variety would be beneficial, and their progressive update jointly with haze
reduction will allow effective dehazing. To this end, we propose a
multi-network dehazi... | [
{
"created": "Tue, 4 Aug 2020 17:05:48 GMT",
"version": "v1"
},
{
"created": "Tue, 8 Feb 2022 17:42:12 GMT",
"version": "v2"
},
{
"created": "Tue, 27 Dec 2022 09:09:33 GMT",
"version": "v3"
},
{
"created": "Wed, 7 Jun 2023 17:28:39 GMT",
"version": "v4"
}
] | 2023-06-08 | [
[
"Kar",
"Aupendu",
""
],
[
"Dhara",
"Sobhan Kanti",
""
],
[
"Sen",
"Debashis",
""
],
[
"Biswas",
"Prabir Kumar",
""
]
] | Images with haze of different varieties often pose a significant challenge to dehazing. Therefore, guidance by estimates of haze parameters related to the variety would be beneficial, and their progressive update jointly with haze reduction will allow effective dehazing. To this end, we propose a multi-network dehazing... |
2206.09106 | Zhengyi Luo | Zhengyi Luo, Shun Iwase, Ye Yuan, Kris Kitani | Embodied Scene-aware Human Pose Estimation | NeurIPS 2022. Project website:
https://zhengyiluo.github.io/projects/embodied_pose/. Zhengyi Luo and Shun
Iwase contributed equally | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | We propose embodied scene-aware human pose estimation where we estimate 3D
poses based on a simulated agent's proprioception and scene awareness, along
with external third-person observations. Unlike prior methods that often resort
to multistage optimization, non-causal inference, and complex contact modeling
to esti... | [
{
"created": "Sat, 18 Jun 2022 03:50:19 GMT",
"version": "v1"
},
{
"created": "Thu, 14 Jul 2022 20:13:26 GMT",
"version": "v2"
},
{
"created": "Thu, 13 Oct 2022 20:31:36 GMT",
"version": "v3"
}
] | 2022-10-17 | [
[
"Luo",
"Zhengyi",
""
],
[
"Iwase",
"Shun",
""
],
[
"Yuan",
"Ye",
""
],
[
"Kitani",
"Kris",
""
]
] | We propose embodied scene-aware human pose estimation where we estimate 3D poses based on a simulated agent's proprioception and scene awareness, along with external third-person observations. Unlike prior methods that often resort to multistage optimization, non-causal inference, and complex contact modeling to estima... |
2402.18792 | Fangyuan Zhang | Fangyuan Zhang, Huichi Zhou, Shuangjiao Li, Hongtao Wang | MPAT: Building Robust Deep Neural Networks against Textual Adversarial
Attacks | null | null | null | null | cs.LG cs.CL cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep neural networks have been proven to be vulnerable to adversarial
examples and various methods have been proposed to defend against adversarial
attacks for natural language processing tasks. However, previous defense
methods have limitations in maintaining effective defense while ensuring the
performance of the o... | [
{
"created": "Thu, 29 Feb 2024 01:49:18 GMT",
"version": "v1"
}
] | 2024-03-01 | [
[
"Zhang",
"Fangyuan",
""
],
[
"Zhou",
"Huichi",
""
],
[
"Li",
"Shuangjiao",
""
],
[
"Wang",
"Hongtao",
""
]
] | Deep neural networks have been proven to be vulnerable to adversarial examples and various methods have been proposed to defend against adversarial attacks for natural language processing tasks. However, previous defense methods have limitations in maintaining effective defense while ensuring the performance of the ori... |
1507.08600 | Alexey Sorokin | Alexey Sorokin | Normal forms for linear displacement context-free grammars | 5 pages, just for educational and referential purposes, therefore no
references | null | null | null | cs.FL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we prove several results on normal forms for linear
displacement context-free grammars. The results themselves are rather simple
and use well-known techniques, but they are extensively used in more complex
constructions. Therefore this article mostly serves educational and referential
purposes.
| [
{
"created": "Thu, 30 Jul 2015 17:54:59 GMT",
"version": "v1"
}
] | 2015-07-31 | [
[
"Sorokin",
"Alexey",
""
]
] | In this paper we prove several results on normal forms for linear displacement context-free grammars. The results themselves are rather simple and use well-known techniques, but they are extensively used in more complex constructions. Therefore this article mostly serves educational and referential purposes. |
2407.16680 | Adrian Remonda | Adrian Remonda, Nicklas Hansen, Ayoub Raji, Nicola Musiu, Marko
Bertogna, Eduardo Veas, Xiaolong Wang | A Simulation Benchmark for Autonomous Racing with Large-Scale Human Data | Project page and code can be found at:
\url{https://assetto-corsa-gym.github.io/} | null | null | null | cs.RO cs.LG | http://creativecommons.org/licenses/by/4.0/ | Despite the availability of international prize-money competitions, scaled
vehicles, and simulation environments, research on autonomous racing and the
control of sports cars operating close to the limit of handling has been
limited by the high costs of vehicle acquisition and management, as well as the
limited physi... | [
{
"created": "Tue, 23 Jul 2024 17:45:16 GMT",
"version": "v1"
},
{
"created": "Wed, 24 Jul 2024 10:58:48 GMT",
"version": "v2"
}
] | 2024-07-25 | [
[
"Remonda",
"Adrian",
""
],
[
"Hansen",
"Nicklas",
""
],
[
"Raji",
"Ayoub",
""
],
[
"Musiu",
"Nicola",
""
],
[
"Bertogna",
"Marko",
""
],
[
"Veas",
"Eduardo",
""
],
[
"Wang",
"Xiaolong",
""
]
] | Despite the availability of international prize-money competitions, scaled vehicles, and simulation environments, research on autonomous racing and the control of sports cars operating close to the limit of handling has been limited by the high costs of vehicle acquisition and management, as well as the limited physics... |
cs/0307054 | Mihai V. Putz | Viorel Putz and Mihai V. Putz | Contributions to the Development and Improvement of a Regulatory and
Pre-Regulatory Digitally System for the Tools within Flexible Fabrication
Systems | 5 pages, 3 figures | null | null | null | cs.CE cs.SE | null | The paper reports the obtained results for the projection and realization of
a digitally system aiming to assist the equipment for a regulatory and
pre-regulatory tools and holding tools within the flexible fabrication systems
(FFS). Moreover, based on the present results, the same methodology can be
applied for assi... | [
{
"created": "Thu, 24 Jul 2003 14:01:16 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Putz",
"Viorel",
""
],
[
"Putz",
"Mihai V.",
""
]
] | The paper reports the obtained results for the projection and realization of a digitally system aiming to assist the equipment for a regulatory and pre-regulatory tools and holding tools within the flexible fabrication systems (FFS). Moreover, based on the present results, the same methodology can be applied for assist... |
1611.06314 | Georgios Giasemidis Dr | Georgios Giasemidis, Colin Singleton, Ioannis Agrafiotis, Jason R.C.
Nurse, Alan Pilgrim, Chris Willis, Danica Vukadinovic Greetham | Determining the Veracity of Rumours on Twitter | 21 pages, 6 figures, 2 tables | SocInfo 2016, Part I, LNCS 10046, pp. 185-205, 2016 | 10.1007/978-3-319-47880-7_12 | null | cs.SI stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | While social networks can provide an ideal platform for up-to-date
information from individuals across the world, it has also proved to be a place
where rumours fester and accidental or deliberate misinformation often emerges.
In this article, we aim to support the task of making sense from social media
data, and spe... | [
{
"created": "Sat, 19 Nov 2016 06:22:50 GMT",
"version": "v1"
}
] | 2016-11-22 | [
[
"Giasemidis",
"Georgios",
""
],
[
"Singleton",
"Colin",
""
],
[
"Agrafiotis",
"Ioannis",
""
],
[
"Nurse",
"Jason R. C.",
""
],
[
"Pilgrim",
"Alan",
""
],
[
"Willis",
"Chris",
""
],
[
"Greetham",
"Danica Vukadin... | While social networks can provide an ideal platform for up-to-date information from individuals across the world, it has also proved to be a place where rumours fester and accidental or deliberate misinformation often emerges. In this article, we aim to support the task of making sense from social media data, and speci... |
1504.01928 | EPTCS | Nikolay Pakulin (Institute for System Programming Russian Academy of
Sciences), Alexander K. Petrenko (Institute for System Programming Russian
Academy of Sciences), Bernd-Holger Schlingloff (Humboldt-Universit\"at zu
Berlin, Institut f\"ur Informatik) | Proceedings Tenth Workshop on Model Based Testing | null | EPTCS 180, 2015 | 10.4204/EPTCS.180 | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The workshop is devoted to model-based testing of both software and hardware.
Model-based testing uses models describing the required behavior of the system
under consideration to guide such efforts as test selection and test results
evaluation. Testing validates the real system behavior against models and
checks tha... | [
{
"created": "Wed, 8 Apr 2015 12:05:03 GMT",
"version": "v1"
}
] | 2015-04-09 | [
[
"Pakulin",
"Nikolay",
"",
"Institute for System Programming Russian Academy of\n Sciences"
],
[
"Petrenko",
"Alexander K.",
"",
"Institute for System Programming Russian\n Academy of Sciences"
],
[
"Schlingloff",
"Bernd-Holger",
"",
"Humboldt-Universität z... | The workshop is devoted to model-based testing of both software and hardware. Model-based testing uses models describing the required behavior of the system under consideration to guide such efforts as test selection and test results evaluation. Testing validates the real system behavior against models and checks that ... |
1807.00637 | Shaked Perek | Shaked Perek, Alon Hazan, Ella Barkan, Ayelet Akselrod-Ballin | Mammography Dual View Mass Correspondence | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Standard breast cancer screening involves the acquisition of two mammography
X-ray projections for each breast. Typically, a comparison of both views
supports the challenging task of tumor detection and localization. We introduce
a deep learning, patch-based Siamese network for lesion matching in dual-view
mammograph... | [
{
"created": "Mon, 2 Jul 2018 12:52:24 GMT",
"version": "v1"
}
] | 2018-07-03 | [
[
"Perek",
"Shaked",
""
],
[
"Hazan",
"Alon",
""
],
[
"Barkan",
"Ella",
""
],
[
"Akselrod-Ballin",
"Ayelet",
""
]
] | Standard breast cancer screening involves the acquisition of two mammography X-ray projections for each breast. Typically, a comparison of both views supports the challenging task of tumor detection and localization. We introduce a deep learning, patch-based Siamese network for lesion matching in dual-view mammography.... |
1308.0090 | Alex James Dr | A. P. James and L.R.V.J. Francis and D. Kumar | Resistive Threshold Logic | Memristors, Brain inspired logic circuits. IEEE Transactions on Very
Large Scale Integration (VLSI) Systems, 2013 | null | 10.1109/TVLSI.2012.2232946 | null | cs.ET cs.AR | http://creativecommons.org/licenses/by/3.0/ | We report a resistance based threshold logic family useful for mimicking
brain like large variable logic functions in VLSI. A universal Boolean logic
cell based on an analog resistive divider and threshold logic circuit is
presented. The resistive divider is implemented using memristors and provides
output voltage as... | [
{
"created": "Thu, 1 Aug 2013 04:17:30 GMT",
"version": "v1"
}
] | 2013-08-03 | [
[
"James",
"A. P.",
""
],
[
"Francis",
"L. R. V. J.",
""
],
[
"Kumar",
"D.",
""
]
] | We report a resistance based threshold logic family useful for mimicking brain like large variable logic functions in VLSI. A universal Boolean logic cell based on an analog resistive divider and threshold logic circuit is presented. The resistive divider is implemented using memristors and provides output voltage as a... |
2405.06761 | Aida Manzano Kharman | Aida Manzano Kharman, Pietro Ferraro, Homayoun Hamedmoghadam, Robert
Shorten | Tree Proof-of-Position Algorithms | null | null | null | null | cs.DS | http://creativecommons.org/licenses/by-nc-sa/4.0/ | We present a novel class of proof-of-position algorithms:
Tree-Proof-of-Position (T-PoP). This algorithm is decentralised, collaborative
and can be computed in a privacy preserving manner, such that agents do not
need to reveal their position publicly. We make no assumptions of honest
behaviour in the system, and con... | [
{
"created": "Fri, 10 May 2024 18:26:01 GMT",
"version": "v1"
},
{
"created": "Tue, 4 Jun 2024 15:13:08 GMT",
"version": "v2"
}
] | 2024-06-05 | [
[
"Kharman",
"Aida Manzano",
""
],
[
"Ferraro",
"Pietro",
""
],
[
"Hamedmoghadam",
"Homayoun",
""
],
[
"Shorten",
"Robert",
""
]
] | We present a novel class of proof-of-position algorithms: Tree-Proof-of-Position (T-PoP). This algorithm is decentralised, collaborative and can be computed in a privacy preserving manner, such that agents do not need to reveal their position publicly. We make no assumptions of honest behaviour in the system, and consi... |
2112.14055 | EPTCS | Samuel Mimram (Ecole polytechnique), Aly-Bora Ulusoy (Ecole
polytechnique) | Syntactic Regions for Concurrent Programs | In Proceedings MFPS 2021, arXiv:2112.13746 | EPTCS 351, 2021, pp. 184-199 | 10.4204/EPTCS.351.12 | null | cs.LO | http://creativecommons.org/licenses/by/4.0/ | In order to gain a better understanding of the state space of programs, with
the aim of making their verification more tractable, models based on directed
topological spaces have been introduced, allowing to take in account
equivalence between execution traces, as well as translate features of the
execution (such as ... | [
{
"created": "Tue, 28 Dec 2021 09:09:02 GMT",
"version": "v1"
}
] | 2021-12-30 | [
[
"Mimram",
"Samuel",
"",
"Ecole polytechnique"
],
[
"Ulusoy",
"Aly-Bora",
"",
"Ecole\n polytechnique"
]
] | In order to gain a better understanding of the state space of programs, with the aim of making their verification more tractable, models based on directed topological spaces have been introduced, allowing to take in account equivalence between execution traces, as well as translate features of the execution (such as th... |
2308.05948 | Yiyang Cai | Yiyang Cai, Jiaming Lu, Jiewen Wang, Shuang Liang | Uncertainty-Aware Cross-Modal Transfer Network for Sketch-Based 3D Shape
Retrieval | 6 pages, 7 figures; To be published in IEEE International Conference
on Multimedia and Expo 2023 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In recent years, sketch-based 3D shape retrieval has attracted growing
attention. While many previous studies have focused on cross-modal matching
between hand-drawn sketches and 3D shapes, the critical issue of how to handle
low-quality and noisy samples in sketch data has been largely neglected. This
paper presents... | [
{
"created": "Fri, 11 Aug 2023 05:46:52 GMT",
"version": "v1"
}
] | 2023-08-14 | [
[
"Cai",
"Yiyang",
""
],
[
"Lu",
"Jiaming",
""
],
[
"Wang",
"Jiewen",
""
],
[
"Liang",
"Shuang",
""
]
] | In recent years, sketch-based 3D shape retrieval has attracted growing attention. While many previous studies have focused on cross-modal matching between hand-drawn sketches and 3D shapes, the critical issue of how to handle low-quality and noisy samples in sketch data has been largely neglected. This paper presents a... |
2202.06268 | Nannan Li | Nannan Li, Yaran Chen, Weifan Li, Zixiang Ding, Dongbin Zhao | BViT: Broad Attention based Vision Transformer | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent works have demonstrated that transformer can achieve promising
performance in computer vision, by exploiting the relationship among image
patches with self-attention. While they only consider the attention in a single
feature layer, but ignore the complementarity of attention in different levels.
In this paper... | [
{
"created": "Sun, 13 Feb 2022 09:23:29 GMT",
"version": "v1"
},
{
"created": "Fri, 9 Jun 2023 06:08:37 GMT",
"version": "v2"
}
] | 2023-06-12 | [
[
"Li",
"Nannan",
""
],
[
"Chen",
"Yaran",
""
],
[
"Li",
"Weifan",
""
],
[
"Ding",
"Zixiang",
""
],
[
"Zhao",
"Dongbin",
""
]
] | Recent works have demonstrated that transformer can achieve promising performance in computer vision, by exploiting the relationship among image patches with self-attention. While they only consider the attention in a single feature layer, but ignore the complementarity of attention in different levels. In this paper, ... |
2404.01268 | Weixin Liang | Weixin Liang, Yaohui Zhang, Zhengxuan Wu, Haley Lepp, Wenlong Ji,
Xuandong Zhao, Hancheng Cao, Sheng Liu, Siyu He, Zhi Huang, Diyi Yang,
Christopher Potts, Christopher D Manning, James Y. Zou | Mapping the Increasing Use of LLMs in Scientific Papers | null | null | null | null | cs.CL cs.AI cs.DL cs.LG cs.SI | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Scientific publishing lays the foundation of science by disseminating
research findings, fostering collaboration, encouraging reproducibility, and
ensuring that scientific knowledge is accessible, verifiable, and built upon
over time. Recently, there has been immense speculation about how many people
are using large ... | [
{
"created": "Mon, 1 Apr 2024 17:45:15 GMT",
"version": "v1"
}
] | 2024-04-02 | [
[
"Liang",
"Weixin",
""
],
[
"Zhang",
"Yaohui",
""
],
[
"Wu",
"Zhengxuan",
""
],
[
"Lepp",
"Haley",
""
],
[
"Ji",
"Wenlong",
""
],
[
"Zhao",
"Xuandong",
""
],
[
"Cao",
"Hancheng",
""
],
[
"Liu",
"... | Scientific publishing lays the foundation of science by disseminating research findings, fostering collaboration, encouraging reproducibility, and ensuring that scientific knowledge is accessible, verifiable, and built upon over time. Recently, there has been immense speculation about how many people are using large la... |
1604.03763 | Shun Zheng | Shun Zheng, Jialei Wang, Fen Xia, Wei Xu, Tong Zhang | A General Distributed Dual Coordinate Optimization Framework for
Regularized Loss Minimization | null | null | null | null | cs.LG cs.DC math.OC stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In modern large-scale machine learning applications, the training data are
often partitioned and stored on multiple machines. It is customary to employ
the "data parallelism" approach, where the aggregated training loss is
minimized without moving data across machines. In this paper, we introduce a
novel distributed ... | [
{
"created": "Wed, 13 Apr 2016 13:33:32 GMT",
"version": "v1"
},
{
"created": "Wed, 19 Apr 2017 15:00:24 GMT",
"version": "v2"
},
{
"created": "Fri, 25 Aug 2017 02:42:32 GMT",
"version": "v3"
}
] | 2017-08-28 | [
[
"Zheng",
"Shun",
""
],
[
"Wang",
"Jialei",
""
],
[
"Xia",
"Fen",
""
],
[
"Xu",
"Wei",
""
],
[
"Zhang",
"Tong",
""
]
] | In modern large-scale machine learning applications, the training data are often partitioned and stored on multiple machines. It is customary to employ the "data parallelism" approach, where the aggregated training loss is minimized without moving data across machines. In this paper, we introduce a novel distributed du... |
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