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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1711.02860 | Kasper Green Larsen | Kasper Green Larsen | Constructive Discrepancy Minimization with Hereditary L2 Guarantees | null | null | null | null | cs.DS cs.DM math.CO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In discrepancy minimization problems, we are given a family of sets
$\mathcal{S} = \{S_1,\dots,S_m\}$, with each $S_i \in \mathcal{S}$ a subset of
some universe $U = \{u_1,\dots,u_n\}$ of $n$ elements. The goal is to find a
coloring $\chi : U \to \{-1,+1\}$ of the elements of $U$ such that each set $S
\in \mathcal{S}... | [
{
"created": "Wed, 8 Nov 2017 08:05:42 GMT",
"version": "v1"
},
{
"created": "Tue, 28 Nov 2017 13:48:15 GMT",
"version": "v2"
},
{
"created": "Tue, 19 Jun 2018 09:21:00 GMT",
"version": "v3"
},
{
"created": "Thu, 13 Dec 2018 09:06:01 GMT",
"version": "v4"
}
] | 2018-12-14 | [
[
"Larsen",
"Kasper Green",
""
]
] | In discrepancy minimization problems, we are given a family of sets $\mathcal{S} = \{S_1,\dots,S_m\}$, with each $S_i \in \mathcal{S}$ a subset of some universe $U = \{u_1,\dots,u_n\}$ of $n$ elements. The goal is to find a coloring $\chi : U \to \{-1,+1\}$ of the elements of $U$ such that each set $S \in \mathcal{S}$ ... |
2103.08590 | Adrianna Janik | Adrianna Janik, Jonathan Dodd, Georgiana Ifrim, Kris Sankaran,
Kathleen Curran | Interpretability of a Deep Learning Model in the Application of Cardiac
MRI Segmentation with an ACDC Challenge Dataset | null | null | 10.1117/12.2582227 | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Cardiac Magnetic Resonance (CMR) is the most effective tool for the
assessment and diagnosis of a heart condition, which malfunction is the world's
leading cause of death. Software tools leveraging Artificial Intelligence
already enhance radiologists and cardiologists in heart condition assessment
but their lack of t... | [
{
"created": "Mon, 15 Mar 2021 17:57:40 GMT",
"version": "v1"
}
] | 2021-03-16 | [
[
"Janik",
"Adrianna",
""
],
[
"Dodd",
"Jonathan",
""
],
[
"Ifrim",
"Georgiana",
""
],
[
"Sankaran",
"Kris",
""
],
[
"Curran",
"Kathleen",
""
]
] | Cardiac Magnetic Resonance (CMR) is the most effective tool for the assessment and diagnosis of a heart condition, which malfunction is the world's leading cause of death. Software tools leveraging Artificial Intelligence already enhance radiologists and cardiologists in heart condition assessment but their lack of tra... |
1201.1363 | Anisur Molla Rahaman | Atish Das Sarma, Anisur Rahaman Molla and Gopal Pandurangan | Near-Optimal Random Walk Sampling in Distributed Networks | null | null | null | null | cs.DC cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Performing random walks in networks is a fundamental primitive that has found
numerous applications in communication networks such as token management, load
balancing, network topology discovery and construction, search, and
peer-to-peer membership management. While several such algorithms are
ubiquitous, and use num... | [
{
"created": "Fri, 6 Jan 2012 08:16:45 GMT",
"version": "v1"
},
{
"created": "Wed, 11 Jan 2012 16:32:42 GMT",
"version": "v2"
}
] | 2012-01-12 | [
[
"Sarma",
"Atish Das",
""
],
[
"Molla",
"Anisur Rahaman",
""
],
[
"Pandurangan",
"Gopal",
""
]
] | Performing random walks in networks is a fundamental primitive that has found numerous applications in communication networks such as token management, load balancing, network topology discovery and construction, search, and peer-to-peer membership management. While several such algorithms are ubiquitous, and use numer... |
cs/0305007 | Chris Johnson | C. A. Johnson | Computing only minimal answers in disjunctive deductive databases | 48 pages | null | null | null | cs.LO | null | A method is presented for computing minimal answers in disjunctive deductive
databases under the disjunctive stable model semantics. Such answers are
constructed by repeatedly extending partial answers. Our method is complete (in
that every minimal answer can be computed) and does not admit redundancy (in
the sense t... | [
{
"created": "Tue, 13 May 2003 08:27:45 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Johnson",
"C. A.",
""
]
] | A method is presented for computing minimal answers in disjunctive deductive databases under the disjunctive stable model semantics. Such answers are constructed by repeatedly extending partial answers. Our method is complete (in that every minimal answer can be computed) and does not admit redundancy (in the sense tha... |
2406.19087 | Florian Mahner | Florian P. Mahner, Lukas Muttenthaler, Umut G\"u\c{c}l\"u, Martin N.
Hebart | Dimensions underlying the representational alignment of deep neural
networks with humans | null | null | null | null | cs.CV cs.AI cs.LG q-bio.QM | http://creativecommons.org/publicdomain/zero/1.0/ | Determining the similarities and differences between humans and artificial
intelligence is an important goal both in machine learning and cognitive
neuroscience. However, similarities in representations only inform us about the
degree of alignment, not the factors that determine it. Drawing upon recent
developments i... | [
{
"created": "Thu, 27 Jun 2024 11:14:14 GMT",
"version": "v1"
}
] | 2024-06-28 | [
[
"Mahner",
"Florian P.",
""
],
[
"Muttenthaler",
"Lukas",
""
],
[
"Güçlü",
"Umut",
""
],
[
"Hebart",
"Martin N.",
""
]
] | Determining the similarities and differences between humans and artificial intelligence is an important goal both in machine learning and cognitive neuroscience. However, similarities in representations only inform us about the degree of alignment, not the factors that determine it. Drawing upon recent developments in ... |
1703.05260 | Ashutosh Modi | Ashutosh Modi and Tatjana Anikina and Simon Ostermann and Manfred
Pinkal | InScript: Narrative texts annotated with script information | Paper accepted at LREC 2016, 9 pages, The corpus can be downloaded
at: http://www.sfb1102.uni-saarland.de/?page_id=2582 | LREC 2016 | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents the InScript corpus (Narrative Texts Instantiating Script
structure). InScript is a corpus of 1,000 stories centered around 10 different
scenarios. Verbs and noun phrases are annotated with event and participant
types, respectively. Additionally, the text is annotated with coreference
information.... | [
{
"created": "Wed, 15 Mar 2017 17:01:20 GMT",
"version": "v1"
}
] | 2017-03-16 | [
[
"Modi",
"Ashutosh",
""
],
[
"Anikina",
"Tatjana",
""
],
[
"Ostermann",
"Simon",
""
],
[
"Pinkal",
"Manfred",
""
]
] | This paper presents the InScript corpus (Narrative Texts Instantiating Script structure). InScript is a corpus of 1,000 stories centered around 10 different scenarios. Verbs and noun phrases are annotated with event and participant types, respectively. Additionally, the text is annotated with coreference information. T... |
1007.1717 | Petros Petrosyan | R.R. Kamalian, P.A. Petrosyan | A note on interval edge-colorings of graphs | 4 pages, minor changes | null | null | null | cs.DM | http://creativecommons.org/licenses/by/3.0/ | An edge-coloring of a graph $G$ with colors $1,2,\ldots,t$ is called an
interval $t$-coloring if for each $i\in \{1,2,\ldots,t\}$ there is at least one
edge of $G$ colored by $i$, and the colors of edges incident to any vertex of
$G$ are distinct and form an interval of integers. In this paper we prove that
if a conn... | [
{
"created": "Sat, 10 Jul 2010 12:25:17 GMT",
"version": "v1"
},
{
"created": "Thu, 12 Aug 2010 06:25:51 GMT",
"version": "v2"
}
] | 2010-08-13 | [
[
"Kamalian",
"R. R.",
""
],
[
"Petrosyan",
"P. A.",
""
]
] | An edge-coloring of a graph $G$ with colors $1,2,\ldots,t$ is called an interval $t$-coloring if for each $i\in \{1,2,\ldots,t\}$ there is at least one edge of $G$ colored by $i$, and the colors of edges incident to any vertex of $G$ are distinct and form an interval of integers. In this paper we prove that if a connec... |
2406.09984 | Simone Lionetti | Adrian Willi, Pascal Baumann, Sophie Erb, Fabian Gr\"oger, Yanick
Zeder, Simone Lionetti | Self-Supervised and Few-Shot Learning for Robust Bioaerosol Monitoring | Short communication, 8 pages, 2 figures, 1 table | null | null | null | cs.LG | http://creativecommons.org/licenses/by-sa/4.0/ | Real-time bioaerosol monitoring is improving the quality of life for people
affected by allergies, but it often relies on deep-learning models which pose
challenges for widespread adoption. These models are typically trained in a
supervised fashion and require considerable effort to produce large amounts of
annotated... | [
{
"created": "Fri, 14 Jun 2024 12:48:26 GMT",
"version": "v1"
}
] | 2024-06-17 | [
[
"Willi",
"Adrian",
""
],
[
"Baumann",
"Pascal",
""
],
[
"Erb",
"Sophie",
""
],
[
"Gröger",
"Fabian",
""
],
[
"Zeder",
"Yanick",
""
],
[
"Lionetti",
"Simone",
""
]
] | Real-time bioaerosol monitoring is improving the quality of life for people affected by allergies, but it often relies on deep-learning models which pose challenges for widespread adoption. These models are typically trained in a supervised fashion and require considerable effort to produce large amounts of annotated d... |
1910.08283 | Muhammad Irfan Yousuf Dr. | Muhammad Irfan Yousuf, Raheel Anwar | Weighted Edge Sampling for Static Graphs | 9 pages, 3 figures, Pre-print | null | null | null | cs.DS cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Graph Sampling provides an efficient yet inexpensive solution for analyzing
large graphs. While extracting small representative subgraphs from large
graphs, the challenge is to capture the properties of the original graph.
Several sampling algorithms have been proposed in previous studies, but they
lack in extracting... | [
{
"created": "Fri, 18 Oct 2019 06:51:46 GMT",
"version": "v1"
}
] | 2019-10-21 | [
[
"Yousuf",
"Muhammad Irfan",
""
],
[
"Anwar",
"Raheel",
""
]
] | Graph Sampling provides an efficient yet inexpensive solution for analyzing large graphs. While extracting small representative subgraphs from large graphs, the challenge is to capture the properties of the original graph. Several sampling algorithms have been proposed in previous studies, but they lack in extracting g... |
2010.03190 | Yijun Zhou | Yijun Zhou, Yuki Koyama, Masataka Goto, Takeo Igarashi | Generative Melody Composition with Human-in-the-Loop Bayesian
Optimization | 10 pages, 2 figures, Proceedings of the 2020 Joint Conference on AI
Music Creativity (CSMC-MuMe 2020) | null | null | null | cs.SD cs.HC eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep generative models allow even novice composers to generate various
melodies by sampling latent vectors. However, finding the desired melody is
challenging since the latent space is unintuitive and high-dimensional. In this
work, we present an interactive system that supports generative melody
composition with hum... | [
{
"created": "Wed, 7 Oct 2020 05:54:20 GMT",
"version": "v1"
}
] | 2020-10-08 | [
[
"Zhou",
"Yijun",
""
],
[
"Koyama",
"Yuki",
""
],
[
"Goto",
"Masataka",
""
],
[
"Igarashi",
"Takeo",
""
]
] | Deep generative models allow even novice composers to generate various melodies by sampling latent vectors. However, finding the desired melody is challenging since the latent space is unintuitive and high-dimensional. In this work, we present an interactive system that supports generative melody composition with human... |
2311.08473 | Matteo Torzoni | Gabriel Garayalde, Matteo Torzoni, Matteo Bruggi, Alberto Corigliano | Real-time topology optimization via learnable mappings | null | null | 10.1002/nme.7502 | null | cs.CE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In traditional topology optimization, the computing time required to
iteratively update the material distribution within a design domain strongly
depends on the complexity or size of the problem, limiting its application in
real engineering contexts. This work proposes a multi-stage machine learning
strategy that aim... | [
{
"created": "Tue, 14 Nov 2023 19:04:16 GMT",
"version": "v1"
},
{
"created": "Mon, 13 May 2024 12:12:51 GMT",
"version": "v2"
}
] | 2024-05-14 | [
[
"Garayalde",
"Gabriel",
""
],
[
"Torzoni",
"Matteo",
""
],
[
"Bruggi",
"Matteo",
""
],
[
"Corigliano",
"Alberto",
""
]
] | In traditional topology optimization, the computing time required to iteratively update the material distribution within a design domain strongly depends on the complexity or size of the problem, limiting its application in real engineering contexts. This work proposes a multi-stage machine learning strategy that aims ... |
1304.6000 | Jin Tan | Jin Tan, Dror Baron, and Liyi Dai | Mixture Gaussian Signal Estimation with L_infty Error Metric | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the problem of estimating an input signal from noisy measurements
in both parallel scalar Gaussian channels and linear mixing systems. The
performance of the estimation process is quantified by the $\ell_\infty$ norm
error metric. We first study the minimum mean $\ell_\infty$ error estimator in
parallel s... | [
{
"created": "Mon, 22 Apr 2013 16:09:33 GMT",
"version": "v1"
}
] | 2013-04-23 | [
[
"Tan",
"Jin",
""
],
[
"Baron",
"Dror",
""
],
[
"Dai",
"Liyi",
""
]
] | We consider the problem of estimating an input signal from noisy measurements in both parallel scalar Gaussian channels and linear mixing systems. The performance of the estimation process is quantified by the $\ell_\infty$ norm error metric. We first study the minimum mean $\ell_\infty$ error estimator in parallel sca... |
2110.12091 | Junwen Bai | Junwen Bai, Weiran Wang, Carla Gomes | Contrastively Disentangled Sequential Variational Autoencoder | Accepted by NeurIPS 2021 | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Self-supervised disentangled representation learning is a critical task in
sequence modeling. The learnt representations contribute to better model
interpretability as well as the data generation, and improve the sample
efficiency for downstream tasks. We propose a novel sequence representation
learning method, named... | [
{
"created": "Fri, 22 Oct 2021 23:00:32 GMT",
"version": "v1"
}
] | 2021-10-26 | [
[
"Bai",
"Junwen",
""
],
[
"Wang",
"Weiran",
""
],
[
"Gomes",
"Carla",
""
]
] | Self-supervised disentangled representation learning is a critical task in sequence modeling. The learnt representations contribute to better model interpretability as well as the data generation, and improve the sample efficiency for downstream tasks. We propose a novel sequence representation learning method, named C... |
1707.01603 | Fahad Alsifiany | Fahad Alsifiany, Aissa Ikhlef, Jonathon Chambers | On Differential Modulation in Downlink Multiuser MIMO Systems | 5 pages, 4 figures | null | null | null | cs.IT math.IT math.NA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we consider a space time block coded multiuser multiple-input
multiple-output (MU-MIMO) system with downlink transmission. Specifically, we
propose to use downlink precoding combined with differential modulation (DM) to
shift the complexity from the receivers to the transmitter. The block
diagonalizati... | [
{
"created": "Thu, 6 Jul 2017 01:04:25 GMT",
"version": "v1"
}
] | 2017-07-07 | [
[
"Alsifiany",
"Fahad",
""
],
[
"Ikhlef",
"Aissa",
""
],
[
"Chambers",
"Jonathon",
""
]
] | In this paper, we consider a space time block coded multiuser multiple-input multiple-output (MU-MIMO) system with downlink transmission. Specifically, we propose to use downlink precoding combined with differential modulation (DM) to shift the complexity from the receivers to the transmitter. The block diagonalization... |
2401.07120 | Minrui Xu | Minrui Xu, Dusit Niyato, Jiawen Kang, Zehui Xiong, Yuan Cao, Yulan
Gao, Chao Ren, Han Yu | Generative AI-enabled Quantum Computing Networks and Intelligent
Resource Allocation | null | null | null | null | cs.NI eess.SP quant-ph | http://creativecommons.org/licenses/by/4.0/ | Quantum computing networks enable scalable collaboration and secure
information exchange among multiple classical and quantum computing nodes while
executing large-scale generative AI computation tasks and advanced quantum
algorithms. Quantum computing networks overcome limitations such as the number
of qubits and co... | [
{
"created": "Sat, 13 Jan 2024 17:16:38 GMT",
"version": "v1"
}
] | 2024-01-17 | [
[
"Xu",
"Minrui",
""
],
[
"Niyato",
"Dusit",
""
],
[
"Kang",
"Jiawen",
""
],
[
"Xiong",
"Zehui",
""
],
[
"Cao",
"Yuan",
""
],
[
"Gao",
"Yulan",
""
],
[
"Ren",
"Chao",
""
],
[
"Yu",
"Han",
""
... | Quantum computing networks enable scalable collaboration and secure information exchange among multiple classical and quantum computing nodes while executing large-scale generative AI computation tasks and advanced quantum algorithms. Quantum computing networks overcome limitations such as the number of qubits and cohe... |
1911.12884 | Graham Campbell | Graham Campbell and Detlef Plump | Efficient Recognition of Graph Languages | Project Report, Department of Computer Science, University of York,
83 pages, 2019. arXiv admin note: substantial text overlap with
arXiv:1906.05170 | null | null | null | cs.LO cs.CC cs.SC | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Graph transformation is the rule-based modification of graphs, and is a
discipline dating back to the 1970s. In general, to match the left-hand graph
of a fixed rule within a host graph requires polynomial time, but to improve
matching performance, D\"orr proposed to equip rules and host graphs with
distinguished roo... | [
{
"created": "Thu, 28 Nov 2019 22:32:41 GMT",
"version": "v1"
},
{
"created": "Wed, 11 Dec 2019 20:42:37 GMT",
"version": "v2"
},
{
"created": "Fri, 1 Jan 2021 12:34:22 GMT",
"version": "v3"
}
] | 2021-01-05 | [
[
"Campbell",
"Graham",
""
],
[
"Plump",
"Detlef",
""
]
] | Graph transformation is the rule-based modification of graphs, and is a discipline dating back to the 1970s. In general, to match the left-hand graph of a fixed rule within a host graph requires polynomial time, but to improve matching performance, D\"orr proposed to equip rules and host graphs with distinguished root ... |
2205.00165 | Zhijie Deng | Zhijie Deng, Jiaxin Shi, Jun Zhu | NeuralEF: Deconstructing Kernels by Deep Neural Networks | International Conference on Machine Learning (ICML), 2022 | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Learning the principal eigenfunctions of an integral operator defined by a
kernel and a data distribution is at the core of many machine learning
problems. Traditional nonparametric solutions based on the Nystr{\"o}m formula
suffer from scalability issues. Recent work has resorted to a parametric
approach, i.e., trai... | [
{
"created": "Sat, 30 Apr 2022 05:31:07 GMT",
"version": "v1"
},
{
"created": "Mon, 13 Jun 2022 03:03:16 GMT",
"version": "v2"
},
{
"created": "Fri, 17 Jun 2022 12:26:42 GMT",
"version": "v3"
},
{
"created": "Sun, 23 Oct 2022 07:23:14 GMT",
"version": "v4"
}
] | 2022-10-25 | [
[
"Deng",
"Zhijie",
""
],
[
"Shi",
"Jiaxin",
""
],
[
"Zhu",
"Jun",
""
]
] | Learning the principal eigenfunctions of an integral operator defined by a kernel and a data distribution is at the core of many machine learning problems. Traditional nonparametric solutions based on the Nystr{\"o}m formula suffer from scalability issues. Recent work has resorted to a parametric approach, i.e., traini... |
2302.11793 | Callum Rhys Tilbury | Callum Rhys Tilbury, Filippos Christianos, Stefano V. Albrecht | Revisiting the Gumbel-Softmax in MADDPG | Presented at AAMAS Workshop on Adaptive and Learning Agents, 2023 | null | null | null | cs.LG cs.AI cs.MA stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | MADDPG is an algorithm in multi-agent reinforcement learning (MARL) that
extends the popular single-agent method, DDPG, to multi-agent scenarios.
Importantly, DDPG is an algorithm designed for continuous action spaces, where
the gradient of the state-action value function exists. For this algorithm to
work in discret... | [
{
"created": "Thu, 23 Feb 2023 06:13:51 GMT",
"version": "v1"
},
{
"created": "Wed, 14 Jun 2023 13:43:44 GMT",
"version": "v2"
}
] | 2023-06-16 | [
[
"Tilbury",
"Callum Rhys",
""
],
[
"Christianos",
"Filippos",
""
],
[
"Albrecht",
"Stefano V.",
""
]
] | MADDPG is an algorithm in multi-agent reinforcement learning (MARL) that extends the popular single-agent method, DDPG, to multi-agent scenarios. Importantly, DDPG is an algorithm designed for continuous action spaces, where the gradient of the state-action value function exists. For this algorithm to work in discrete ... |
2102.00266 | Joanna Grzyb | Joanna Grzyb, Jakub Klikowski, Micha{\l} Wo\'zniak | Hellinger Distance Weighted Ensemble for Imbalanced Data Stream
Classification | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | The imbalanced data classification remains a vital problem. The key is to
find such methods that classify both the minority and majority class correctly.
The paper presents the classifier ensemble for classifying binary,
non-stationary and imbalanced data streams where the Hellinger Distance is used
to prune the ense... | [
{
"created": "Sat, 30 Jan 2021 16:38:42 GMT",
"version": "v1"
}
] | 2021-02-02 | [
[
"Grzyb",
"Joanna",
""
],
[
"Klikowski",
"Jakub",
""
],
[
"Woźniak",
"Michał",
""
]
] | The imbalanced data classification remains a vital problem. The key is to find such methods that classify both the minority and majority class correctly. The paper presents the classifier ensemble for classifying binary, non-stationary and imbalanced data streams where the Hellinger Distance is used to prune the ensemb... |
2406.02222 | Ran Wei PhD | Ran Wei, Ruizhe Yang, Shijun Liu, Chongsheng Fan, Rong Zhou, Zekun Wu,
Haochi Wang, Yifan Cai, Zhe Jiang | Towards an Extensible Model-Based Digital Twin Framework for Space
Launch Vehicles | null | null | null | null | cs.SE | http://creativecommons.org/licenses/by/4.0/ | The concept of Digital Twin (DT) is increasingly applied to systems on
different levels of abstraction across domains, to support monitoring,
analysis, diagnosis, decision making and automated control. Whilst the interest
in applying DT is growing, the definition of DT is unclear, neither is there a
clear pathway to ... | [
{
"created": "Tue, 4 Jun 2024 11:31:00 GMT",
"version": "v1"
}
] | 2024-06-05 | [
[
"Wei",
"Ran",
""
],
[
"Yang",
"Ruizhe",
""
],
[
"Liu",
"Shijun",
""
],
[
"Fan",
"Chongsheng",
""
],
[
"Zhou",
"Rong",
""
],
[
"Wu",
"Zekun",
""
],
[
"Wang",
"Haochi",
""
],
[
"Cai",
"Yifan",
... | The concept of Digital Twin (DT) is increasingly applied to systems on different levels of abstraction across domains, to support monitoring, analysis, diagnosis, decision making and automated control. Whilst the interest in applying DT is growing, the definition of DT is unclear, neither is there a clear pathway to de... |
2203.11014 | Xi Liu | Buyun Zhang, Liang Luo, Xi Liu, Jay Li, Zeliang Chen, Weilin Zhang,
Xiaohan Wei, Yuchen Hao, Michael Tsang, Wenjun Wang, Yang Liu, Huayu Li,
Yasmine Badr, Jongsoo Park, Jiyan Yang, Dheevatsa Mudigere, Ellie Wen | DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale
Click-Through Rate Prediction | null | null | null | null | cs.IR cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Learning feature interactions is important to the model performance of online
advertising services. As a result, extensive efforts have been devoted to
designing effective architectures to learn feature interactions. However, we
observe that the practical performance of those designs can vary from dataset
to dataset,... | [
{
"created": "Fri, 11 Mar 2022 21:19:31 GMT",
"version": "v1"
}
] | 2022-03-22 | [
[
"Zhang",
"Buyun",
""
],
[
"Luo",
"Liang",
""
],
[
"Liu",
"Xi",
""
],
[
"Li",
"Jay",
""
],
[
"Chen",
"Zeliang",
""
],
[
"Zhang",
"Weilin",
""
],
[
"Wei",
"Xiaohan",
""
],
[
"Hao",
"Yuchen",
"... | Learning feature interactions is important to the model performance of online advertising services. As a result, extensive efforts have been devoted to designing effective architectures to learn feature interactions. However, we observe that the practical performance of those designs can vary from dataset to dataset, e... |
1909.03325 | James Davenport | James H. Davenport | Formal Methods and CyberSecurity | To appear in "Short Papers FROM 2019" | null | null | null | cs.CR cs.SE | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Formal methods have been largely thought of in the context of safety-critical
systems, where they have achieved major acceptance. Tens of millions of people
trust their lives every day to such systems, based on formal proofs rather than
``we haven't found a bug'' (yet!). Why is ``we haven't found a bug'' an
acceptabl... | [
{
"created": "Sat, 7 Sep 2019 19:49:19 GMT",
"version": "v1"
}
] | 2019-09-10 | [
[
"Davenport",
"James H.",
""
]
] | Formal methods have been largely thought of in the context of safety-critical systems, where they have achieved major acceptance. Tens of millions of people trust their lives every day to such systems, based on formal proofs rather than ``we haven't found a bug'' (yet!). Why is ``we haven't found a bug'' an acceptable ... |
2207.04075 | Sara Fridovich-Keil | Sara Fridovich-Keil, Brian R. Bartoldson, James Diffenderfer, Bhavya
Kailkhura, Peer-Timo Bremer | Models Out of Line: A Fourier Lens on Distribution Shift Robustness | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Improving the accuracy of deep neural networks (DNNs) on out-of-distribution
(OOD) data is critical to an acceptance of deep learning (DL) in real world
applications. It has been observed that accuracies on in-distribution (ID)
versus OOD data follow a linear trend and models that outperform this baseline
are excepti... | [
{
"created": "Fri, 8 Jul 2022 18:05:58 GMT",
"version": "v1"
}
] | 2022-07-12 | [
[
"Fridovich-Keil",
"Sara",
""
],
[
"Bartoldson",
"Brian R.",
""
],
[
"Diffenderfer",
"James",
""
],
[
"Kailkhura",
"Bhavya",
""
],
[
"Bremer",
"Peer-Timo",
""
]
] | Improving the accuracy of deep neural networks (DNNs) on out-of-distribution (OOD) data is critical to an acceptance of deep learning (DL) in real world applications. It has been observed that accuracies on in-distribution (ID) versus OOD data follow a linear trend and models that outperform this baseline are exception... |
2403.11572 | Chia-Ming Lee | Chih-Chung Hsu and Chia-Ming Lee and Ming-Shyen Wu | Augment Before Copy-Paste: Data and Memory Efficiency-Oriented Instance
Segmentation Framework for Sport-scenes | null | null | null | null | cs.CV cs.MM | http://creativecommons.org/licenses/by/4.0/ | Instance segmentation is a fundamental task in computer vision with broad
applications across various industries. In recent years, with the proliferation
of deep learning and artificial intelligence applications, how to train
effective models with limited data has become a pressing issue for both
academia and industr... | [
{
"created": "Mon, 18 Mar 2024 08:44:40 GMT",
"version": "v1"
}
] | 2024-03-19 | [
[
"Hsu",
"Chih-Chung",
""
],
[
"Lee",
"Chia-Ming",
""
],
[
"Wu",
"Ming-Shyen",
""
]
] | Instance segmentation is a fundamental task in computer vision with broad applications across various industries. In recent years, with the proliferation of deep learning and artificial intelligence applications, how to train effective models with limited data has become a pressing issue for both academia and industry.... |
1412.3701 | Thorsten Wissmann | Felix Klein (1) and Martin Zimmermann (1) ((1) Reactive Systems Group,
Saarland University, Germany) | How Much Lookahead is Needed to Win Infinite Games? | null | Logical Methods in Computer Science, Volume 12, Issue 3 (April 27,
2017) lmcs:2011 | 10.2168/LMCS-12(3:4)2016 | null | cs.GT cs.FL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Delay games are two-player games of infinite duration in which one player may
delay her moves to obtain a lookahead on her opponent's moves. For
$\omega$-regular winning conditions it is known that such games can be solved
in doubly-exponential time and that doubly-exponential lookahead is sufficient.
We improve up... | [
{
"created": "Thu, 11 Dec 2014 16:13:12 GMT",
"version": "v1"
},
{
"created": "Thu, 29 Oct 2015 10:44:14 GMT",
"version": "v2"
},
{
"created": "Thu, 19 May 2016 20:28:42 GMT",
"version": "v3"
},
{
"created": "Thu, 25 Aug 2016 12:29:45 GMT",
"version": "v4"
},
{
"c... | 2018-03-30 | [
[
"Klein",
"Felix",
""
],
[
"Zimmermann",
"Martin",
""
]
] | Delay games are two-player games of infinite duration in which one player may delay her moves to obtain a lookahead on her opponent's moves. For $\omega$-regular winning conditions it is known that such games can be solved in doubly-exponential time and that doubly-exponential lookahead is sufficient. We improve upon b... |
1003.5196 | Christoph Lange | Christoph Lange | SWiM -- A Semantic Wiki for Mathematical Knowledge Management | null | S. Bechhofer, M. Hauswirth, J. Hoffmann, M. Koubarakis. The
Semantic Web: Research and Applications. ESWC 2008. LNCS 5021, Springer 2008 | 10.1007/978-3-540-68234-9_68 | null | cs.DL cs.MS math.HO | http://creativecommons.org/licenses/by/3.0/ | SWiM is a semantic wiki for collaboratively building, editing and browsing
mathematical knowledge represented in the domain-specific structural semantic
markup language OMDoc. It motivates users to contribute to collections of
mathematical knowledge by instantly sharing the benefits of knowledge-powered
services with... | [
{
"created": "Fri, 26 Mar 2010 18:17:01 GMT",
"version": "v1"
}
] | 2010-03-29 | [
[
"Lange",
"Christoph",
""
]
] | SWiM is a semantic wiki for collaboratively building, editing and browsing mathematical knowledge represented in the domain-specific structural semantic markup language OMDoc. It motivates users to contribute to collections of mathematical knowledge by instantly sharing the benefits of knowledge-powered services with t... |
2302.09149 | Niklas K\"uhl | Niklas K\"uhl, Hendrik Fischer, Michael Hinze, Thomas Rung | An Incremental Singular Value Decomposition Approach for Large-Scale
Spatially Parallel & Distributed but Temporally Serial Data -- Applied to
Technical Flows | null | null | null | null | cs.MS cs.DC physics.comp-ph physics.flu-dyn | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The paper presents a strategy to construct an incremental Singular Value
Decomposition (SVD) for time-evolving, spatially 3D discrete data sets. A low
memory access procedure for reducing and deploying the snapshot data is
presented. Considered examples refer to Computational Fluid Dynamic (CFD)
results extracted fro... | [
{
"created": "Fri, 17 Feb 2023 21:19:54 GMT",
"version": "v1"
}
] | 2023-02-21 | [
[
"Kühl",
"Niklas",
""
],
[
"Fischer",
"Hendrik",
""
],
[
"Hinze",
"Michael",
""
],
[
"Rung",
"Thomas",
""
]
] | The paper presents a strategy to construct an incremental Singular Value Decomposition (SVD) for time-evolving, spatially 3D discrete data sets. A low memory access procedure for reducing and deploying the snapshot data is presented. Considered examples refer to Computational Fluid Dynamic (CFD) results extracted from ... |
2108.04230 | Songyang Zhang | Songyang Zhang and Lin Song and Songtao Liu and Zheng Ge and Zeming Li
and Xuming He and Jian Sun | Workshop on Autonomous Driving at CVPR 2021: Technical Report for
Streaming Perception Challenge | Report of the 1st Place of Streaming Perception Challenge(Workshop on
Autonomous Driving at CVPR 2021) | null | null | null | cs.CV cs.AI | http://creativecommons.org/licenses/by/4.0/ | In this report, we introduce our real-time 2D object detection system for the
realistic autonomous driving scenario. Our detector is built on a newly
designed YOLO model, called YOLOX. On the Argoverse-HD dataset, our system
achieves 41.0 streaming AP, which surpassed second place by 7.8/6.1 on
detection-only track/f... | [
{
"created": "Tue, 27 Jul 2021 06:36:06 GMT",
"version": "v1"
}
] | 2021-08-10 | [
[
"Zhang",
"Songyang",
""
],
[
"Song",
"Lin",
""
],
[
"Liu",
"Songtao",
""
],
[
"Ge",
"Zheng",
""
],
[
"Li",
"Zeming",
""
],
[
"He",
"Xuming",
""
],
[
"Sun",
"Jian",
""
]
] | In this report, we introduce our real-time 2D object detection system for the realistic autonomous driving scenario. Our detector is built on a newly designed YOLO model, called YOLOX. On the Argoverse-HD dataset, our system achieves 41.0 streaming AP, which surpassed second place by 7.8/6.1 on detection-only track/ful... |
cs/0211041 | Lyubov Vassilevskaya | A.V. Averin (NSI, Moscow), L.A. Vassilevskaya (DESY, Hamburg) | An Approach to Automatic Indexing of Scientific Publications in High
Energy Physics for Database SPIRES HEP | 23 pages, 4 figures | null | null | DESY L-02-02 (November 2002) | cs.IR cs.DL | null | We introduce an approach to automatic indexing of e-prints based on a
pattern-matching technique making extensive use of an Associative Patterns
Dictionary (APD), developed by us. Entries in the APD consist of natural
language phrases with the same semantic interpretation as a set of keywords
from a controlled vocabu... | [
{
"created": "Thu, 28 Nov 2002 17:33:19 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Averin",
"A. V.",
"",
"NSI, Moscow"
],
[
"Vassilevskaya",
"L. A.",
"",
"DESY, Hamburg"
]
] | We introduce an approach to automatic indexing of e-prints based on a pattern-matching technique making extensive use of an Associative Patterns Dictionary (APD), developed by us. Entries in the APD consist of natural language phrases with the same semantic interpretation as a set of keywords from a controlled vocabula... |
2007.06559 | Jiaxuan You | Jiaxuan You, Jure Leskovec, Kaiming He, Saining Xie | Graph Structure of Neural Networks | ICML 2020, with open-source code | null | null | null | cs.LG cs.CV cs.SI stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Neural networks are often represented as graphs of connections between
neurons. However, despite their wide use, there is currently little
understanding of the relationship between the graph structure of the neural
network and its predictive performance. Here we systematically investigate how
does the graph structure... | [
{
"created": "Mon, 13 Jul 2020 17:59:31 GMT",
"version": "v1"
},
{
"created": "Thu, 27 Aug 2020 17:58:07 GMT",
"version": "v2"
}
] | 2020-08-28 | [
[
"You",
"Jiaxuan",
""
],
[
"Leskovec",
"Jure",
""
],
[
"He",
"Kaiming",
""
],
[
"Xie",
"Saining",
""
]
] | Neural networks are often represented as graphs of connections between neurons. However, despite their wide use, there is currently little understanding of the relationship between the graph structure of the neural network and its predictive performance. Here we systematically investigate how does the graph structure o... |
1102.1139 | Zoltan Esik | Zoltan Esik | Residuated Park Theories | null | null | null | null | cs.LO math.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | When $L$ is a complete lattice, the collection $\Mon_L$ of all monotone
functions $L^p \to L^n$, $n,p \geq 0$, forms a Lawvere theory. We enrich this
Lawvere theory with the binary supremum operation $\vee$, an operation of
(left) residuation $\res$ and the parameterized least fixed point operation
$^\dagger$. We exh... | [
{
"created": "Sun, 6 Feb 2011 11:08:57 GMT",
"version": "v1"
}
] | 2015-03-18 | [
[
"Esik",
"Zoltan",
""
]
] | When $L$ is a complete lattice, the collection $\Mon_L$ of all monotone functions $L^p \to L^n$, $n,p \geq 0$, forms a Lawvere theory. We enrich this Lawvere theory with the binary supremum operation $\vee$, an operation of (left) residuation $\res$ and the parameterized least fixed point operation $^\dagger$. We exhib... |
2206.06658 | Xiaoyuan Zhang | Yukun Bao, Liang Shen, Xiaoyuan Zhang, Yanmei Huang and Changrui Deng | A novel MDPSO-SVR hybrid model for feature selection in electricity
consumption forecasting | null | null | null | null | cs.NE | http://creativecommons.org/licenses/by/4.0/ | Electricity consumption forecasting has vital importance for the energy
planning of a country. Of the enabling machine learning models, support vector
regression (SVR) has been widely used to set up forecasting models due to its
superior generalization for unseen data. However, one key procedure for the
predictive mo... | [
{
"created": "Tue, 14 Jun 2022 07:50:04 GMT",
"version": "v1"
},
{
"created": "Thu, 15 Sep 2022 07:35:16 GMT",
"version": "v2"
}
] | 2022-09-16 | [
[
"Bao",
"Yukun",
""
],
[
"Shen",
"Liang",
""
],
[
"Zhang",
"Xiaoyuan",
""
],
[
"Huang",
"Yanmei",
""
],
[
"Deng",
"Changrui",
""
]
] | Electricity consumption forecasting has vital importance for the energy planning of a country. Of the enabling machine learning models, support vector regression (SVR) has been widely used to set up forecasting models due to its superior generalization for unseen data. However, one key procedure for the predictive mode... |
2212.06921 | Dylan Sam | Dylan Sam, J. Zico Kolter | Losses over Labels: Weakly Supervised Learning via Direct Loss
Construction | 13 pages, 3 figures, AAAI 2023 | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Owing to the prohibitive costs of generating large amounts of labeled data,
programmatic weak supervision is a growing paradigm within machine learning. In
this setting, users design heuristics that provide noisy labels for subsets of
the data. These weak labels are combined (typically via a graphical model) to
form ... | [
{
"created": "Tue, 13 Dec 2022 22:29:14 GMT",
"version": "v1"
},
{
"created": "Wed, 4 Oct 2023 23:32:44 GMT",
"version": "v2"
}
] | 2023-10-06 | [
[
"Sam",
"Dylan",
""
],
[
"Kolter",
"J. Zico",
""
]
] | Owing to the prohibitive costs of generating large amounts of labeled data, programmatic weak supervision is a growing paradigm within machine learning. In this setting, users design heuristics that provide noisy labels for subsets of the data. These weak labels are combined (typically via a graphical model) to form ps... |
1701.03360 | Jaeyoung Kim | Jaeyoung Kim, Mostafa El-Khamy, and Jungwon Lee | Residual LSTM: Design of a Deep Recurrent Architecture for Distant
Speech Recognition | null | null | null | null | cs.LG cs.AI cs.SD | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, a novel architecture for a deep recurrent neural network,
residual LSTM is introduced. A plain LSTM has an internal memory cell that can
learn long term dependencies of sequential data. It also provides a temporal
shortcut path to avoid vanishing or exploding gradients in the temporal domain.
The resid... | [
{
"created": "Tue, 10 Jan 2017 20:03:37 GMT",
"version": "v1"
},
{
"created": "Wed, 15 Mar 2017 00:23:45 GMT",
"version": "v2"
},
{
"created": "Mon, 5 Jun 2017 18:51:08 GMT",
"version": "v3"
}
] | 2017-06-07 | [
[
"Kim",
"Jaeyoung",
""
],
[
"El-Khamy",
"Mostafa",
""
],
[
"Lee",
"Jungwon",
""
]
] | In this paper, a novel architecture for a deep recurrent neural network, residual LSTM is introduced. A plain LSTM has an internal memory cell that can learn long term dependencies of sequential data. It also provides a temporal shortcut path to avoid vanishing or exploding gradients in the temporal domain. The residua... |
2307.15164 | Vivek Kumar Dr. | Vivek Kumar, Sushmita Singh and Prayag Tiwari | VISU at WASSA 2023 Shared Task: Detecting Emotions in Reaction to News
Stories Leveraging BERT and Stacked Embeddings | null | null | null | null | cs.CL cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | Our system, VISU, participated in the WASSA 2023 Shared Task (3) of Emotion
Classification from essays written in reaction to news articles. Emotion
detection from complex dialogues is challenging and often requires
context/domain understanding. Therefore in this research, we have focused on
developing deep learning ... | [
{
"created": "Thu, 27 Jul 2023 19:42:22 GMT",
"version": "v1"
}
] | 2023-07-31 | [
[
"Kumar",
"Vivek",
""
],
[
"Singh",
"Sushmita",
""
],
[
"Tiwari",
"Prayag",
""
]
] | Our system, VISU, participated in the WASSA 2023 Shared Task (3) of Emotion Classification from essays written in reaction to news articles. Emotion detection from complex dialogues is challenging and often requires context/domain understanding. Therefore in this research, we have focused on developing deep learning (D... |
2305.08183 | Wei Yuan | Wei Yuan, Shilong Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Hongzhi
Yin | Manipulating Visually-aware Federated Recommender Systems and Its
Countermeasures | null | null | null | null | cs.IR | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Federated recommender systems (FedRecs) have been widely explored recently
due to their ability to protect user data privacy. In FedRecs, a central server
collaboratively learns recommendation models by sharing model public parameters
with clients, thereby offering a privacy-preserving solution. Unfortunately,
the ex... | [
{
"created": "Sun, 14 May 2023 15:22:52 GMT",
"version": "v1"
},
{
"created": "Tue, 16 May 2023 22:26:01 GMT",
"version": "v2"
}
] | 2023-05-18 | [
[
"Yuan",
"Wei",
""
],
[
"Yuan",
"Shilong",
""
],
[
"Yang",
"Chaoqun",
""
],
[
"Nguyen",
"Quoc Viet Hung",
""
],
[
"Yin",
"Hongzhi",
""
]
] | Federated recommender systems (FedRecs) have been widely explored recently due to their ability to protect user data privacy. In FedRecs, a central server collaboratively learns recommendation models by sharing model public parameters with clients, thereby offering a privacy-preserving solution. Unfortunately, the expo... |
1906.04526 | Lukas Lindenroth | Lukas Lindenroth, Richard James Housden, Shuangyi Wang, Junghwan Back,
Kawal Rhode and Hongbin Liu | Design and integration of a parallel, soft robotic end-effector for
extracorporeal ultrasound | null | IEEE Transactions on Biomedical Engineering, vol. 67, no. 8, pp.
2215-2229, Aug. 2020 | 10.1109/TBME.2019.2957609 | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Objective: In this work we address limitations in state-of-the-art ultrasound
robots by designing and integrating a novel soft robotic system for ultrasound
imaging. It employs the inherent qualities of soft fluidic actuators to
establish safe, adaptable interaction between ultrasound probe and patient.
Methods: We a... | [
{
"created": "Tue, 11 Jun 2019 12:26:53 GMT",
"version": "v1"
},
{
"created": "Mon, 20 Jul 2020 22:31:59 GMT",
"version": "v2"
},
{
"created": "Wed, 22 Jul 2020 20:32:48 GMT",
"version": "v3"
}
] | 2020-07-24 | [
[
"Lindenroth",
"Lukas",
""
],
[
"Housden",
"Richard James",
""
],
[
"Wang",
"Shuangyi",
""
],
[
"Back",
"Junghwan",
""
],
[
"Rhode",
"Kawal",
""
],
[
"Liu",
"Hongbin",
""
]
] | Objective: In this work we address limitations in state-of-the-art ultrasound robots by designing and integrating a novel soft robotic system for ultrasound imaging. It employs the inherent qualities of soft fluidic actuators to establish safe, adaptable interaction between ultrasound probe and patient. Methods: We acq... |
2106.02968 | Rafid Mahmood | Rafid Mahmood, Sanja Fidler, Marc T. Law | Low Budget Active Learning via Wasserstein Distance: An Integer
Programming Approach | null | null | null | null | cs.LG math.OC | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Active learning is the process of training a model with limited labeled data
by selecting a core subset of an unlabeled data pool to label. The large scale
of data sets used in deep learning forces most sample selection strategies to
employ efficient heuristics. This paper introduces an integer optimization
problem f... | [
{
"created": "Sat, 5 Jun 2021 21:25:03 GMT",
"version": "v1"
},
{
"created": "Sat, 12 Jun 2021 23:04:04 GMT",
"version": "v2"
},
{
"created": "Sat, 5 Mar 2022 20:43:26 GMT",
"version": "v3"
},
{
"created": "Tue, 7 Mar 2023 00:09:11 GMT",
"version": "v4"
}
] | 2023-03-08 | [
[
"Mahmood",
"Rafid",
""
],
[
"Fidler",
"Sanja",
""
],
[
"Law",
"Marc T.",
""
]
] | Active learning is the process of training a model with limited labeled data by selecting a core subset of an unlabeled data pool to label. The large scale of data sets used in deep learning forces most sample selection strategies to employ efficient heuristics. This paper introduces an integer optimization problem for... |
2212.07206 | Cem Suulker | Cem Suulker, Sophie Skach, Kaspar Althoefer | A Fabric Soft Robotic Exoskeleton with Novel Elastic Band Integrated
Actuators for Hand Rehabilitation | 2 pages, 4 figures, conference | Conference on New Technologies for Computer and Robot Assisted
Surgery (CRAS 2022) | null | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | Common disabilities like stroke and spinal cord injuries may cause loss of
motor function in hands. They can be treated with robot assisted rehabilitation
techniques, like continuously opening and closing the hand with help of a
robot, in a cheaper, and less time consuming manner than traditional methods.
Hand exoske... | [
{
"created": "Wed, 14 Dec 2022 13:08:19 GMT",
"version": "v1"
}
] | 2022-12-15 | [
[
"Suulker",
"Cem",
""
],
[
"Skach",
"Sophie",
""
],
[
"Althoefer",
"Kaspar",
""
]
] | Common disabilities like stroke and spinal cord injuries may cause loss of motor function in hands. They can be treated with robot assisted rehabilitation techniques, like continuously opening and closing the hand with help of a robot, in a cheaper, and less time consuming manner than traditional methods. Hand exoskele... |
2407.14249 | Martin Menabue | Martin Menabue, Emanuele Frascaroli, Matteo Boschini, Lorenzo
Bonicelli, Angelo Porrello, Simone Calderara | An Attention-based Representation Distillation Baseline for Multi-Label
Continual Learning | Accepted at LOD 2024 | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The field of Continual Learning (CL) has inspired numerous researchers over
the years, leading to increasingly advanced countermeasures to the issue of
catastrophic forgetting. Most studies have focused on the single-class
scenario, where each example comes with a single label. The recent literature
has successfully ... | [
{
"created": "Fri, 19 Jul 2024 12:30:03 GMT",
"version": "v1"
}
] | 2024-07-22 | [
[
"Menabue",
"Martin",
""
],
[
"Frascaroli",
"Emanuele",
""
],
[
"Boschini",
"Matteo",
""
],
[
"Bonicelli",
"Lorenzo",
""
],
[
"Porrello",
"Angelo",
""
],
[
"Calderara",
"Simone",
""
]
] | The field of Continual Learning (CL) has inspired numerous researchers over the years, leading to increasingly advanced countermeasures to the issue of catastrophic forgetting. Most studies have focused on the single-class scenario, where each example comes with a single label. The recent literature has successfully ta... |
2207.07522 | Wencan Cheng | Wencan Cheng and Jong Hwan Ko | Bi-PointFlowNet: Bidirectional Learning for Point Cloud Based Scene Flow
Estimation | Accepted as a conference paper at European Conference on Computer
Vision (ECCV) 2022 | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Scene flow estimation, which extracts point-wise motion between scenes, is
becoming a crucial task in many computer vision tasks. However, all of the
existing estimation methods utilize only the unidirectional features,
restricting the accuracy and generality. This paper presents a novel scene flow
estimation archite... | [
{
"created": "Fri, 15 Jul 2022 15:14:53 GMT",
"version": "v1"
}
] | 2022-07-18 | [
[
"Cheng",
"Wencan",
""
],
[
"Ko",
"Jong Hwan",
""
]
] | Scene flow estimation, which extracts point-wise motion between scenes, is becoming a crucial task in many computer vision tasks. However, all of the existing estimation methods utilize only the unidirectional features, restricting the accuracy and generality. This paper presents a novel scene flow estimation architect... |
2201.08368 | Lloyd Montgomery | Lloyd Montgomery, Clara L\"uders, Walid Maalej | An Alternative Issue Tracking Dataset of Public Jira Repositories | 5 pages | null | 10.1145/3524842.3528486 | null | cs.SE | http://creativecommons.org/licenses/by/4.0/ | Organisations use issue tracking systems (ITSs) to track and document their
projects' work in units called issues. This style of documentation encourages
evolutionary refinement, as each issue can be independently improved, commented
on, linked to other issues, and progressed through the organisational workflow.
Comm... | [
{
"created": "Thu, 20 Jan 2022 18:52:36 GMT",
"version": "v1"
},
{
"created": "Mon, 31 Jan 2022 16:09:20 GMT",
"version": "v2"
},
{
"created": "Fri, 25 Mar 2022 16:17:18 GMT",
"version": "v3"
}
] | 2022-03-28 | [
[
"Montgomery",
"Lloyd",
""
],
[
"Lüders",
"Clara",
""
],
[
"Maalej",
"Walid",
""
]
] | Organisations use issue tracking systems (ITSs) to track and document their projects' work in units called issues. This style of documentation encourages evolutionary refinement, as each issue can be independently improved, commented on, linked to other issues, and progressed through the organisational workflow. Common... |
2003.07907 | Ozan Tonguz K. | Keith Shannon, Elias Towe, and Ozan K. Tonguz | On the Use of Quantum Entanglement in Secure Communications: A Survey | null | null | null | null | cs.CR quant-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Quantum computing and quantum communications are exciting new frontiers in
computing and communications. Indeed, the massive investments made by the
governments of the US, China, and EU in these new technologies are not a secret
and are based on the expected potential of these technologies to revolutionize
communicat... | [
{
"created": "Tue, 17 Mar 2020 19:32:40 GMT",
"version": "v1"
}
] | 2020-03-20 | [
[
"Shannon",
"Keith",
""
],
[
"Towe",
"Elias",
""
],
[
"Tonguz",
"Ozan K.",
""
]
] | Quantum computing and quantum communications are exciting new frontiers in computing and communications. Indeed, the massive investments made by the governments of the US, China, and EU in these new technologies are not a secret and are based on the expected potential of these technologies to revolutionize communicatio... |
2011.08366 | Hiroto Yasumi | Hiroto Yasumi, Fukuhito Ooshita, Michiko Inoue, S\'ebastien Tixeuil | Uniform Bipartition in the Population Protocol Model with Arbitrary
Communication Graphs | null | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we focus on the uniform bipartition problem in the population
protocol model. This problem aims to divide a population into two groups of
equal size. In particular, we consider the problem in the context of
\emph{arbitrary} communication graphs. As a result, we clarify the solvability
of the uniform bi... | [
{
"created": "Tue, 17 Nov 2020 02:06:21 GMT",
"version": "v1"
},
{
"created": "Wed, 18 Nov 2020 02:18:22 GMT",
"version": "v2"
}
] | 2020-11-19 | [
[
"Yasumi",
"Hiroto",
""
],
[
"Ooshita",
"Fukuhito",
""
],
[
"Inoue",
"Michiko",
""
],
[
"Tixeuil",
"Sébastien",
""
]
] | In this paper, we focus on the uniform bipartition problem in the population protocol model. This problem aims to divide a population into two groups of equal size. In particular, we consider the problem in the context of \emph{arbitrary} communication graphs. As a result, we clarify the solvability of the uniform bipa... |
2310.17752 | Ligeng Zhu | Ligeng Zhu, Lanxiang Hu, Ji Lin, Wei-Chen Wang, Wei-Ming Chen, Chuang
Gan, Song Han | PockEngine: Sparse and Efficient Fine-tuning in a Pocket | null | 56th IEEE/ACM International Symposium on Microarchitecture (MICRO
2023) | 10.1145/3613424.3614307 | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | On-device learning and efficient fine-tuning enable continuous and
privacy-preserving customization (e.g., locally fine-tuning large language
models on personalized data). However, existing training frameworks are
designed for cloud servers with powerful accelerators (e.g., GPUs, TPUs) and
lack the optimizations for ... | [
{
"created": "Thu, 26 Oct 2023 19:46:11 GMT",
"version": "v1"
}
] | 2023-10-30 | [
[
"Zhu",
"Ligeng",
""
],
[
"Hu",
"Lanxiang",
""
],
[
"Lin",
"Ji",
""
],
[
"Wang",
"Wei-Chen",
""
],
[
"Chen",
"Wei-Ming",
""
],
[
"Gan",
"Chuang",
""
],
[
"Han",
"Song",
""
]
] | On-device learning and efficient fine-tuning enable continuous and privacy-preserving customization (e.g., locally fine-tuning large language models on personalized data). However, existing training frameworks are designed for cloud servers with powerful accelerators (e.g., GPUs, TPUs) and lack the optimizations for le... |
1810.10801 | Yulia Sandamirskaya | Sebastian Glatz, Julien N.P. Martel, Raphaela Kreiser, Ning Qiao, and
Yulia Sandamirskaya | Adaptive motor control and learning in a spiking neural network realised
on a mixed-signal neuromorphic processor | 6+1 pages, 4 figures, will appear in one of the Robotics conferences | IEEE International Conference on Robotics and Automation (ICRA)
2019 | null | null | cs.ET cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Neuromorphic computing is a new paradigm for design of both the computing
hardware and algorithms inspired by biological neural networks. The event-based
nature and the inherent parallelism make neuromorphic computing a promising
paradigm for building efficient neural network based architectures for control
of fast a... | [
{
"created": "Thu, 25 Oct 2018 09:22:17 GMT",
"version": "v1"
}
] | 2019-07-10 | [
[
"Glatz",
"Sebastian",
""
],
[
"Martel",
"Julien N. P.",
""
],
[
"Kreiser",
"Raphaela",
""
],
[
"Qiao",
"Ning",
""
],
[
"Sandamirskaya",
"Yulia",
""
]
] | Neuromorphic computing is a new paradigm for design of both the computing hardware and algorithms inspired by biological neural networks. The event-based nature and the inherent parallelism make neuromorphic computing a promising paradigm for building efficient neural network based architectures for control of fast and... |
2106.11051 | Omar Alolayan | Omar S. Alolayan, Samuel J. Raymond, Justin B. Montgomery and John R.
Williams | Towards Better Shale Gas Production Forecasting Using Transfer Learning | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep neural networks can generate more accurate shale gas production
forecasts in counties with a limited number of sample wells by utilizing
transfer learning. This paper provides a way of transferring the knowledge
gained from other deep neural network models trained on adjacent counties into
the county of interest... | [
{
"created": "Mon, 21 Jun 2021 12:37:44 GMT",
"version": "v1"
}
] | 2021-06-22 | [
[
"Alolayan",
"Omar S.",
""
],
[
"Raymond",
"Samuel J.",
""
],
[
"Montgomery",
"Justin B.",
""
],
[
"Williams",
"John R.",
""
]
] | Deep neural networks can generate more accurate shale gas production forecasts in counties with a limited number of sample wells by utilizing transfer learning. This paper provides a way of transferring the knowledge gained from other deep neural network models trained on adjacent counties into the county of interest. ... |
2106.04812 | Kshitij Tayal | Kshitij Tayal, Raunak Manekar, Zhong Zhuang, David Yang, Vipin Kumar,
Felix Hofmann, Ju Sun | Phase Retrieval using Single-Instance Deep Generative Prior | null | null | null | null | cs.LG eess.IV | http://creativecommons.org/licenses/by/4.0/ | Several deep learning methods for phase retrieval exist, but most of them
fail on realistic data without precise support information. We propose a novel
method based on single-instance deep generative prior that works well on
complex-valued crystal data.
| [
{
"created": "Wed, 9 Jun 2021 05:11:33 GMT",
"version": "v1"
},
{
"created": "Tue, 22 Jun 2021 19:59:54 GMT",
"version": "v2"
}
] | 2021-06-24 | [
[
"Tayal",
"Kshitij",
""
],
[
"Manekar",
"Raunak",
""
],
[
"Zhuang",
"Zhong",
""
],
[
"Yang",
"David",
""
],
[
"Kumar",
"Vipin",
""
],
[
"Hofmann",
"Felix",
""
],
[
"Sun",
"Ju",
""
]
] | Several deep learning methods for phase retrieval exist, but most of them fail on realistic data without precise support information. We propose a novel method based on single-instance deep generative prior that works well on complex-valued crystal data. |
2112.01379 | Joseph Tien | Matthew T. Osborne, Samuel S. Malloy, Erik C. Nisbet, Robert M. Bond,
Joseph H. Tien | Sentinel node approach to monitoring online COVID-19 misinformation | null | null | null | null | cs.SI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Understanding how different online communities engage with COVID-19
misinformation is critical for public health response, as misinformation
confined to a small, isolated community of users poses a different public
health risk than misinformation being consumed by a large population spanning
many diverse communities.... | [
{
"created": "Thu, 2 Dec 2021 16:12:38 GMT",
"version": "v1"
}
] | 2021-12-03 | [
[
"Osborne",
"Matthew T.",
""
],
[
"Malloy",
"Samuel S.",
""
],
[
"Nisbet",
"Erik C.",
""
],
[
"Bond",
"Robert M.",
""
],
[
"Tien",
"Joseph H.",
""
]
] | Understanding how different online communities engage with COVID-19 misinformation is critical for public health response, as misinformation confined to a small, isolated community of users poses a different public health risk than misinformation being consumed by a large population spanning many diverse communities. H... |
1408.6228 | M. Rizwan Jameel Qureshi Dr. | M. Rizwan Jameel Qureshi | Estimation of the new agile XP process model for medium-scale projects
using industrial case studies | 3 pages, 1 figure | International Journal of Machine Learning and Computing, online
October 2013; Vol. 3, No. 5, 2013, pp. 393-395 | 10.7763/IJMLC.2013.V3.346 | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Agile is one of the terms with which software professionals are quite
familiar. Agile models promote fast development to develop high quality
software. XP process model is one of the most widely used and most documented
agile models. XP model is meant for small-scale projects. Since XP model is a
good model, therefor... | [
{
"created": "Tue, 26 Aug 2014 14:07:34 GMT",
"version": "v1"
}
] | 2014-08-28 | [
[
"Qureshi",
"M. Rizwan Jameel",
""
]
] | Agile is one of the terms with which software professionals are quite familiar. Agile models promote fast development to develop high quality software. XP process model is one of the most widely used and most documented agile models. XP model is meant for small-scale projects. Since XP model is a good model, therefore ... |
2012.08408 | Zhuonan Liang | Zhuonan Liang, Ziheng Liu, Huaze Shi, Yunlong Chen, Yanbin Cai, Yating
Liang, Yafan Feng, Yuqing Yang, Jing Zhang, Peng Fu | SPOC learner's final grade prediction based on a novel sampling batch
normalization embedded neural network method | 11 pages, 5 figures, ICAIS 2021 | Multimed Tools Appl (2022) | 10.1007/s11042-022-13628-y | null | cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Recent years have witnessed the rapid growth of Small Private Online Courses
(SPOC) which is able to highly customized and personalized to adapt variable
educational requests, in which machine learning techniques are explored to
summarize and predict the learner's performance, mostly focus on the final
grade. However... | [
{
"created": "Tue, 15 Dec 2020 16:36:42 GMT",
"version": "v1"
},
{
"created": "Fri, 11 Nov 2022 07:29:44 GMT",
"version": "v2"
}
] | 2022-11-14 | [
[
"Liang",
"Zhuonan",
""
],
[
"Liu",
"Ziheng",
""
],
[
"Shi",
"Huaze",
""
],
[
"Chen",
"Yunlong",
""
],
[
"Cai",
"Yanbin",
""
],
[
"Liang",
"Yating",
""
],
[
"Feng",
"Yafan",
""
],
[
"Yang",
"Yuqi... | Recent years have witnessed the rapid growth of Small Private Online Courses (SPOC) which is able to highly customized and personalized to adapt variable educational requests, in which machine learning techniques are explored to summarize and predict the learner's performance, mostly focus on the final grade. However, ... |
2312.17532 | Yuncheng Huang | Yuncheng Huang, Qianyu He, Jiaqing Liang, Sihang Jiang, Yanghua Xiao
and Yunwen Chen | Enhancing Quantitative Reasoning Skills of Large Language Models through
Dimension Perception | Accepted in the 40th IEEE International Conference on Data
Engineering (ICDE 2024) | null | null | null | cs.CL cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Quantities are distinct and critical components of texts that characterize
the magnitude properties of entities, providing a precise perspective for the
understanding of natural language, especially for reasoning tasks. In recent
years, there has been a flurry of research on reasoning tasks based on large
language mo... | [
{
"created": "Fri, 29 Dec 2023 09:29:37 GMT",
"version": "v1"
}
] | 2024-01-01 | [
[
"Huang",
"Yuncheng",
""
],
[
"He",
"Qianyu",
""
],
[
"Liang",
"Jiaqing",
""
],
[
"Jiang",
"Sihang",
""
],
[
"Xiao",
"Yanghua",
""
],
[
"Chen",
"Yunwen",
""
]
] | Quantities are distinct and critical components of texts that characterize the magnitude properties of entities, providing a precise perspective for the understanding of natural language, especially for reasoning tasks. In recent years, there has been a flurry of research on reasoning tasks based on large language mode... |
2206.00510 | Zuowu Zheng | Zuowu Zheng, Changwang Zhang, Xiaofeng Gao, Guihai Chen | HIEN: Hierarchical Intention Embedding Network for Click-Through Rate
Prediction | Accepted by SIGIR 2022 | null | 10.1145/3477495.3531988 | null | cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Click-through rate (CTR) prediction plays an important role in online
advertising and recommendation systems, which aims at estimating the
probability of a user clicking on a specific item. Feature interaction modeling
and user interest modeling methods are two popular domains in CTR prediction,
and they have been st... | [
{
"created": "Wed, 1 Jun 2022 14:14:14 GMT",
"version": "v1"
}
] | 2022-06-02 | [
[
"Zheng",
"Zuowu",
""
],
[
"Zhang",
"Changwang",
""
],
[
"Gao",
"Xiaofeng",
""
],
[
"Chen",
"Guihai",
""
]
] | Click-through rate (CTR) prediction plays an important role in online advertising and recommendation systems, which aims at estimating the probability of a user clicking on a specific item. Feature interaction modeling and user interest modeling methods are two popular domains in CTR prediction, and they have been stud... |
2003.04421 | Roman Sokolovskii | Roman Sokolovskii and Alexandre Graell i Amat and Fredrik
Br\"annstr\"om | Finite-Length Scaling of Spatially Coupled LDPC Codes Under Window
Decoding Over the BEC | Published in IEEE Transactions on Communications (Early Access). This
paper was presented in part at the IEEE Information Theory Workshop (ITW),
Visby, Sweden, August 2019 (arXiv:1904.10410) | null | 10.1109/TCOMM.2020.3010958 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We analyze the finite-length performance of spatially coupled low-density
parity-check (SC-LDPC) codes under window decoding over the binary erasure
channel. In particular, we propose a refinement of the scaling law by Olmos and
Urbanke for the frame error rate (FER) of terminated SC-LDPC ensembles under
full belief ... | [
{
"created": "Mon, 9 Mar 2020 21:33:09 GMT",
"version": "v1"
},
{
"created": "Tue, 25 Aug 2020 14:41:51 GMT",
"version": "v2"
}
] | 2020-08-26 | [
[
"Sokolovskii",
"Roman",
""
],
[
"Amat",
"Alexandre Graell i",
""
],
[
"Brännström",
"Fredrik",
""
]
] | We analyze the finite-length performance of spatially coupled low-density parity-check (SC-LDPC) codes under window decoding over the binary erasure channel. In particular, we propose a refinement of the scaling law by Olmos and Urbanke for the frame error rate (FER) of terminated SC-LDPC ensembles under full belief pr... |
2406.14167 | Andrey Kutuzov | Mariia Fedorova, Andrey Kutuzov, Yves Scherrer | Definition generation for lexical semantic change detection | Findings of ACL 2024 | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | We use contextualized word definitions generated by large language models as
semantic representations in the task of diachronic lexical semantic change
detection (LSCD). In short, generated definitions are used as `senses', and the
change score of a target word is retrieved by comparing their distributions in
two tim... | [
{
"created": "Thu, 20 Jun 2024 10:13:08 GMT",
"version": "v1"
},
{
"created": "Wed, 31 Jul 2024 16:20:45 GMT",
"version": "v2"
}
] | 2024-08-01 | [
[
"Fedorova",
"Mariia",
""
],
[
"Kutuzov",
"Andrey",
""
],
[
"Scherrer",
"Yves",
""
]
] | We use contextualized word definitions generated by large language models as semantic representations in the task of diachronic lexical semantic change detection (LSCD). In short, generated definitions are used as `senses', and the change score of a target word is retrieved by comparing their distributions in two time ... |
1906.09567 | Mohsen Ghodrat | Mohsen Ghodrat and Horacio J Marquez | On the Local Input-Output Stability of Event-Triggered Control Systems | 37 pages, 6 figures | IEEE Trans. Autom. Control 64(1), 2019, 174-189 | 10.1109/TAC.2018.2809594 | null | cs.SY eess.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper studies performance preserving event design in nonlinear
event-based control systems based on a local L2-type performance criterion.
Considering a finite gain local L2-stable disturbance driven continuous-time
system, we propose a triggering mechanism so that the resulting sampled-data
system preserves sim... | [
{
"created": "Sun, 23 Jun 2019 09:15:43 GMT",
"version": "v1"
},
{
"created": "Sun, 21 Jul 2019 06:44:34 GMT",
"version": "v2"
}
] | 2019-07-23 | [
[
"Ghodrat",
"Mohsen",
""
],
[
"Marquez",
"Horacio J",
""
]
] | This paper studies performance preserving event design in nonlinear event-based control systems based on a local L2-type performance criterion. Considering a finite gain local L2-stable disturbance driven continuous-time system, we propose a triggering mechanism so that the resulting sampled-data system preserves simil... |
2101.05605 | Rui Liu | Rui Liu and Sen Liu and Xiaoli Zhang | A Physics-Informed Machine Learning Model for Porosity Analysis in Laser
Powder Bed Fusion Additive Manufacturing | 14 pages | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | To control part quality, it is critical to analyze pore generation
mechanisms, laying theoretical foundation for future porosity control. Current
porosity analysis models use machine setting parameters, such as laser angle
and part pose. However, these setting-based models are machine dependent, hence
they often do n... | [
{
"created": "Wed, 13 Jan 2021 01:29:01 GMT",
"version": "v1"
}
] | 2021-01-15 | [
[
"Liu",
"Rui",
""
],
[
"Liu",
"Sen",
""
],
[
"Zhang",
"Xiaoli",
""
]
] | To control part quality, it is critical to analyze pore generation mechanisms, laying theoretical foundation for future porosity control. Current porosity analysis models use machine setting parameters, such as laser angle and part pose. However, these setting-based models are machine dependent, hence they often do not... |
2009.12216 | Jon McCormack | Jon McCormack and Andy Lomas | Deep Learning of Individual Aesthetics | Author preprint of article for Neural Computing and Applications.
arXiv admin note: substantial text overlap with arXiv:2004.06874 | null | null | null | cs.NE cs.GR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Accurate evaluation of human aesthetic preferences represents a major
challenge for creative evolutionary and generative systems research. Prior work
has tended to focus on feature measures of the artefact, such as symmetry,
complexity and coherence. However, research models from Psychology suggest that
human aesthet... | [
{
"created": "Thu, 24 Sep 2020 03:04:28 GMT",
"version": "v1"
}
] | 2020-09-28 | [
[
"McCormack",
"Jon",
""
],
[
"Lomas",
"Andy",
""
]
] | Accurate evaluation of human aesthetic preferences represents a major challenge for creative evolutionary and generative systems research. Prior work has tended to focus on feature measures of the artefact, such as symmetry, complexity and coherence. However, research models from Psychology suggest that human aesthetic... |
1410.5782 | Sean Sedwards | Axel Legay, Sean Sedwards and Louis-Marie Traonouez | Lightweight Monte Carlo Verification of Markov Decision Processes with
Rewards | 16 pages, 4 figures, 1 table | null | null | null | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Markov decision processes are useful models of concurrency optimisation
problems, but are often intractable for exhaustive verification methods. Recent
work has introduced lightweight approximative techniques that sample directly
from scheduler space, bringing the prospect of scalable alternatives to
standard numeric... | [
{
"created": "Mon, 20 Oct 2014 05:56:26 GMT",
"version": "v1"
},
{
"created": "Sun, 15 Feb 2015 10:25:43 GMT",
"version": "v2"
},
{
"created": "Mon, 23 Mar 2015 11:54:05 GMT",
"version": "v3"
}
] | 2015-03-24 | [
[
"Legay",
"Axel",
""
],
[
"Sedwards",
"Sean",
""
],
[
"Traonouez",
"Louis-Marie",
""
]
] | Markov decision processes are useful models of concurrency optimisation problems, but are often intractable for exhaustive verification methods. Recent work has introduced lightweight approximative techniques that sample directly from scheduler space, bringing the prospect of scalable alternatives to standard numerical... |
1107.5478 | Santosh Vempala | Daniel Dadush and Santosh Vempala | Deterministic Construction of an Approximate M-Ellipsoid and its
Application to Derandomizing Lattice Algorithms | null | null | null | null | cs.CC math.FA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We give a deterministic O(log n)^n algorithm for the {\em Shortest Vector
Problem (SVP)} of a lattice under {\em any} norm, improving on the previous
best deterministic bound of n^O(n) for general norms and nearly matching the
bound of 2^O(n) for the standard Euclidean norm established by Micciancio and
Voulgaris (ST... | [
{
"created": "Wed, 27 Jul 2011 14:05:55 GMT",
"version": "v1"
}
] | 2011-07-28 | [
[
"Dadush",
"Daniel",
""
],
[
"Vempala",
"Santosh",
""
]
] | We give a deterministic O(log n)^n algorithm for the {\em Shortest Vector Problem (SVP)} of a lattice under {\em any} norm, improving on the previous best deterministic bound of n^O(n) for general norms and nearly matching the bound of 2^O(n) for the standard Euclidean norm established by Micciancio and Voulgaris (STOC... |
1002.0139 | Kadirvelu SivaKumar | P.S Hiremath, Siddu P. Algur | Extraction of Flat and Nested Data Records from Web Pages | 10 Pages IEEE format, International Journal on Computer Science and
Engineering, IJCSE 2010, ISSN 0975-3397, Impact Factor 0.583 | International Journal on Computer Science and Engineering, IJCSE,
Vol. 2, No. 1 January 2010 | null | IJEST10-02-01-07 | cs.DB | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper studies the problem of identification and extraction of flat and
nested data records from a given web page. With the explosive growth of
information sources available on the World Wide Web, it has become increasingly
difficult to identify the relevant pieces of information, since web pages are
often clutte... | [
{
"created": "Sun, 31 Jan 2010 16:39:26 GMT",
"version": "v1"
}
] | 2010-02-02 | [
[
"Hiremath",
"P. S",
""
],
[
"Algur",
"Siddu P.",
""
]
] | This paper studies the problem of identification and extraction of flat and nested data records from a given web page. With the explosive growth of information sources available on the World Wide Web, it has become increasingly difficult to identify the relevant pieces of information, since web pages are often cluttere... |
2205.04114 | Wei Zhu | Wei Zhu, Le Lu, Jing Xiao, Mei Han, Jiebo Luo, Adam P. Harrison | Localized Adversarial Domain Generalization | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Deep learning methods can struggle to handle domain shifts not seen in
training data, which can cause them to not generalize well to unseen domains.
This has led to research attention on domain generalization (DG), which aims to
the model's generalization ability to out-of-distribution. Adversarial domain
generalizat... | [
{
"created": "Mon, 9 May 2022 08:30:31 GMT",
"version": "v1"
}
] | 2022-05-10 | [
[
"Zhu",
"Wei",
""
],
[
"Lu",
"Le",
""
],
[
"Xiao",
"Jing",
""
],
[
"Han",
"Mei",
""
],
[
"Luo",
"Jiebo",
""
],
[
"Harrison",
"Adam P.",
""
]
] | Deep learning methods can struggle to handle domain shifts not seen in training data, which can cause them to not generalize well to unseen domains. This has led to research attention on domain generalization (DG), which aims to the model's generalization ability to out-of-distribution. Adversarial domain generalizatio... |
2103.05961 | Jian Zhang | Chong Mou, Jian Zhang, Xiaopeng Fan, Hangfan Liu, Ronggang Wang | COLA-Net: Collaborative Attention Network for Image Restoration | 11 pages, 6 tables, 9 figures, to be published in IEEE Transactions
on Multimedia | null | 10.1109/TMM.2021.3063916 | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Local and non-local attention-based methods have been well studied in various
image restoration tasks while leading to promising performance. However, most
of the existing methods solely focus on one type of attention mechanism (local
or non-local). Furthermore, by exploiting the self-similarity of natural
images, ex... | [
{
"created": "Wed, 10 Mar 2021 09:33:17 GMT",
"version": "v1"
}
] | 2021-03-11 | [
[
"Mou",
"Chong",
""
],
[
"Zhang",
"Jian",
""
],
[
"Fan",
"Xiaopeng",
""
],
[
"Liu",
"Hangfan",
""
],
[
"Wang",
"Ronggang",
""
]
] | Local and non-local attention-based methods have been well studied in various image restoration tasks while leading to promising performance. However, most of the existing methods solely focus on one type of attention mechanism (local or non-local). Furthermore, by exploiting the self-similarity of natural images, exis... |
2407.11798 | Branden Butler | Branden Butler, Sixing Yu, Arya Mazaheri, and Ali Jannesari | PipeInfer: Accelerating LLM Inference using Asynchronous Pipelined
Speculation | 11 pages, submitted to SC24 conference | null | null | null | cs.CL cs.DC cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Inference of Large Language Models (LLMs) across computer clusters has become
a focal point of research in recent times, with many acceleration techniques
taking inspiration from CPU speculative execution. These techniques reduce
bottlenecks associated with memory bandwidth, but also increase end-to-end
latency per i... | [
{
"created": "Tue, 16 Jul 2024 14:52:02 GMT",
"version": "v1"
}
] | 2024-07-17 | [
[
"Butler",
"Branden",
""
],
[
"Yu",
"Sixing",
""
],
[
"Mazaheri",
"Arya",
""
],
[
"Jannesari",
"Ali",
""
]
] | Inference of Large Language Models (LLMs) across computer clusters has become a focal point of research in recent times, with many acceleration techniques taking inspiration from CPU speculative execution. These techniques reduce bottlenecks associated with memory bandwidth, but also increase end-to-end latency per inf... |
1812.06081 | Sendong Zhao | Sendong Zhao, Ting Liu, Sicheng Zhao, Fei Wang | A Neural Multi-Task Learning Framework to Jointly Model Medical Named
Entity Recognition and Normalization | AAAI-2019 | null | null | null | cs.CL cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | State-of-the-art studies have demonstrated the superiority of joint modelling
over pipeline implementation for medical named entity recognition and
normalization due to the mutual benefits between the two processes. To exploit
these benefits in a more sophisticated way, we propose a novel deep neural
multi-task learn... | [
{
"created": "Fri, 14 Dec 2018 18:59:41 GMT",
"version": "v1"
}
] | 2018-12-17 | [
[
"Zhao",
"Sendong",
""
],
[
"Liu",
"Ting",
""
],
[
"Zhao",
"Sicheng",
""
],
[
"Wang",
"Fei",
""
]
] | State-of-the-art studies have demonstrated the superiority of joint modelling over pipeline implementation for medical named entity recognition and normalization due to the mutual benefits between the two processes. To exploit these benefits in a more sophisticated way, we propose a novel deep neural multi-task learnin... |
2205.09445 | Jiahui Wang Mr | Jiahui Wang, Zhenyou Wang, Shanna Zhuang, Hui Wang | Cross-Enhancement Transformer for Action Segmentation | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Temporal convolutions have been the paradigm of choice in action
segmentation, which enhances long-term receptive fields by increasing
convolution layers. However, high layers cause the loss of local information
necessary for frame recognition. To solve the above problem, a novel
encoder-decoder structure is proposed... | [
{
"created": "Thu, 19 May 2022 10:06:30 GMT",
"version": "v1"
}
] | 2022-05-20 | [
[
"Wang",
"Jiahui",
""
],
[
"Wang",
"Zhenyou",
""
],
[
"Zhuang",
"Shanna",
""
],
[
"Wang",
"Hui",
""
]
] | Temporal convolutions have been the paradigm of choice in action segmentation, which enhances long-term receptive fields by increasing convolution layers. However, high layers cause the loss of local information necessary for frame recognition. To solve the above problem, a novel encoder-decoder structure is proposed i... |
1903.10636 | Annalisa Massini | Novella Bartolini, Ting He, Viviana Arrigoni, Annalisa Massini, Hana
Khamfroush | On Fundamental Bounds of Failure Identifiability by Boolean Network
Tomography | null | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Boolean network tomography is a powerful tool to infer the state
(working/failed) of individual nodes from path-level measurements obtained by
egde-nodes. We consider the problem of optimizing the capability of identifying
network failures through the design of monitoring schemes. Finding an optimal
solution is NP-ha... | [
{
"created": "Tue, 26 Mar 2019 00:03:10 GMT",
"version": "v1"
}
] | 2019-03-27 | [
[
"Bartolini",
"Novella",
""
],
[
"He",
"Ting",
""
],
[
"Arrigoni",
"Viviana",
""
],
[
"Massini",
"Annalisa",
""
],
[
"Khamfroush",
"Hana",
""
]
] | Boolean network tomography is a powerful tool to infer the state (working/failed) of individual nodes from path-level measurements obtained by egde-nodes. We consider the problem of optimizing the capability of identifying network failures through the design of monitoring schemes. Finding an optimal solution is NP-hard... |
1804.09113 | Benjamin Planche | Sergey Zakharov, Benjamin Planche, Ziyan Wu, Andreas Hutter, Harald
Kosch, Slobodan Ilic | Keep it Unreal: Bridging the Realism Gap for 2.5D Recognition with
Geometry Priors Only | 10 pages + supplemetary material + references. The first two authors
contributed equally to this work | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With the increasing availability of large databases of 3D CAD models,
depth-based recognition methods can be trained on an uncountable number of
synthetically rendered images. However, discrepancies with the real data
acquired from various depth sensors still noticeably impede progress. Previous
works adopted unsuper... | [
{
"created": "Tue, 24 Apr 2018 16:02:59 GMT",
"version": "v1"
},
{
"created": "Thu, 24 May 2018 16:08:07 GMT",
"version": "v2"
}
] | 2018-05-25 | [
[
"Zakharov",
"Sergey",
""
],
[
"Planche",
"Benjamin",
""
],
[
"Wu",
"Ziyan",
""
],
[
"Hutter",
"Andreas",
""
],
[
"Kosch",
"Harald",
""
],
[
"Ilic",
"Slobodan",
""
]
] | With the increasing availability of large databases of 3D CAD models, depth-based recognition methods can be trained on an uncountable number of synthetically rendered images. However, discrepancies with the real data acquired from various depth sensors still noticeably impede progress. Previous works adopted unsupervi... |
2010.09559 | Cristi\'an Bravo | Mar\'ia \'Oskarsd\'ottir and Cristi\'an Bravo | Multilayer Network Analysis for Improved Credit Risk Prediction | 24 pages, 15 figures. v4 - accepted | Omega 105: 102520 (2021) | 10.1016/j.omega.2021.102520 | null | cs.SI cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | We present a multilayer network model for credit risk assessment. Our model
accounts for multiple connections between borrowers (such as their geographic
location and their economic activity) and allows for explicitly modelling the
interaction between connected borrowers. We develop a multilayer personalized
PageRank... | [
{
"created": "Mon, 19 Oct 2020 14:39:53 GMT",
"version": "v1"
},
{
"created": "Thu, 11 Feb 2021 22:57:28 GMT",
"version": "v2"
},
{
"created": "Tue, 1 Jun 2021 23:01:03 GMT",
"version": "v3"
},
{
"created": "Mon, 26 Jul 2021 17:00:17 GMT",
"version": "v4"
}
] | 2021-07-27 | [
[
"Óskarsdóttir",
"María",
""
],
[
"Bravo",
"Cristián",
""
]
] | We present a multilayer network model for credit risk assessment. Our model accounts for multiple connections between borrowers (such as their geographic location and their economic activity) and allows for explicitly modelling the interaction between connected borrowers. We develop a multilayer personalized PageRank a... |
2103.15980 | Jose-Luis Blanco-Claraco | Jos\'e Luis Blanco-Claraco | A tutorial on $\mathbf{SE}(3)$ transformation parameterizations and
on-manifold optimization | 68 pages, 6 figures; v2 in arXiv; see history of document versions on
page 3 for full change log of the technical report since 2010 | null | null | UMA-MAPIR-012010 | cs.RO cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | An arbitrary rigid transformation in $\mathbf{SE}(3)$ can be separated into
two parts, namely, a translation and a rigid rotation. This technical report
reviews, under a unifying viewpoint, three common alternatives to representing
the rotation part: sets of three (yaw-pitch-roll) Euler angles, orthogonal
rotation ma... | [
{
"created": "Mon, 29 Mar 2021 22:43:49 GMT",
"version": "v1"
},
{
"created": "Thu, 7 Apr 2022 07:09:18 GMT",
"version": "v2"
}
] | 2022-04-08 | [
[
"Blanco-Claraco",
"José Luis",
""
]
] | An arbitrary rigid transformation in $\mathbf{SE}(3)$ can be separated into two parts, namely, a translation and a rigid rotation. This technical report reviews, under a unifying viewpoint, three common alternatives to representing the rotation part: sets of three (yaw-pitch-roll) Euler angles, orthogonal rotation matr... |
2406.09404 | Junkun Chen | Jun-Kun Chen, Samuel Rota Bul\`o, Norman M\"uller, Lorenzo Porzi,
Peter Kontschieder, Yu-Xiong Wang | ConsistDreamer: 3D-Consistent 2D Diffusion for High-Fidelity Scene
Editing | CVPR 2024 | null | null | null | cs.CV cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper proposes ConsistDreamer - a novel framework that lifts 2D
diffusion models with 3D awareness and 3D consistency, thus enabling
high-fidelity instruction-guided scene editing. To overcome the fundamental
limitation of missing 3D consistency in 2D diffusion models, our key insight is
to introduce three syner... | [
{
"created": "Thu, 13 Jun 2024 17:59:32 GMT",
"version": "v1"
}
] | 2024-06-14 | [
[
"Chen",
"Jun-Kun",
""
],
[
"Bulò",
"Samuel Rota",
""
],
[
"Müller",
"Norman",
""
],
[
"Porzi",
"Lorenzo",
""
],
[
"Kontschieder",
"Peter",
""
],
[
"Wang",
"Yu-Xiong",
""
]
] | This paper proposes ConsistDreamer - a novel framework that lifts 2D diffusion models with 3D awareness and 3D consistency, thus enabling high-fidelity instruction-guided scene editing. To overcome the fundamental limitation of missing 3D consistency in 2D diffusion models, our key insight is to introduce three synerge... |
1602.05231 | Simon Thorne | Mahmood H. Shubbak, Simon Thorne | Development and Experimentation of a Software Tool for Identifying High
Risk Spreadsheets for Auditing | 22 pages, 11 Colour Figures, 4 Tables | Proc. 16th EuSpRIG Conf. "Spreadsheet Risk Management" (2015)
pp47-78 ISBN: 978-1-905404-52-0 | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Heavy use of spreadsheets by organisations bears many potential risks such as
errors, ambiguity, data loss, duplication, and fraud. In this paper these risks
are briefly outlined along with their available mitigation methods such as:
documentation, centralisation, auditing and user training. However, because of
the l... | [
{
"created": "Tue, 16 Feb 2016 22:29:47 GMT",
"version": "v1"
}
] | 2016-02-22 | [
[
"Shubbak",
"Mahmood H.",
""
],
[
"Thorne",
"Simon",
""
]
] | Heavy use of spreadsheets by organisations bears many potential risks such as errors, ambiguity, data loss, duplication, and fraud. In this paper these risks are briefly outlined along with their available mitigation methods such as: documentation, centralisation, auditing and user training. However, because of the lar... |
2210.12681 | Atsuyuki Miyai | Atsuyuki Miyai, Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa | Rethinking Rotation in Self-Supervised Contrastive Learning: Adaptive
Positive or Negative Data Augmentation | Accepted at the IEEE/CVF Winter Conference on Applications of
Computer Vision (WACV) 2023 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Rotation is frequently listed as a candidate for data augmentation in
contrastive learning but seldom provides satisfactory improvements. We argue
that this is because the rotated image is always treated as either positive or
negative. The semantics of an image can be rotation-invariant or
rotation-variant, so whethe... | [
{
"created": "Sun, 23 Oct 2022 09:37:47 GMT",
"version": "v1"
},
{
"created": "Thu, 24 Nov 2022 05:57:56 GMT",
"version": "v2"
}
] | 2022-11-28 | [
[
"Miyai",
"Atsuyuki",
""
],
[
"Yu",
"Qing",
""
],
[
"Ikami",
"Daiki",
""
],
[
"Irie",
"Go",
""
],
[
"Aizawa",
"Kiyoharu",
""
]
] | Rotation is frequently listed as a candidate for data augmentation in contrastive learning but seldom provides satisfactory improvements. We argue that this is because the rotated image is always treated as either positive or negative. The semantics of an image can be rotation-invariant or rotation-variant, so whether ... |
2105.08191 | Gangadharan Esakki | Gangadharan Esakki, Andreas Panayides, Venkatesh Jatla, Marios
Pattichis | Adaptive Video Encoding For Different Video Codecs | Video codecs, Video signal processing, Video coding, Video
compression, Video quality, Video streaming, Adaptive video streaming,
Versatile Video Coding, AV1, HEVC | IEEE Access 2021 | 10.1109/ACCESS.2021.3077313 | null | cs.MM eess.IV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | By 2022, we expect video traffic to reach 82% of the total internet traffic.
Undoubtedly, the abundance of video-driven applications will likely lead
internet video traffic percentage to a further increase in the near future,
enabled by associate advances in video devices' capabilities. In response to
this ever-growi... | [
{
"created": "Mon, 17 May 2021 23:06:20 GMT",
"version": "v1"
}
] | 2021-05-19 | [
[
"Esakki",
"Gangadharan",
""
],
[
"Panayides",
"Andreas",
""
],
[
"Jatla",
"Venkatesh",
""
],
[
"Pattichis",
"Marios",
""
]
] | By 2022, we expect video traffic to reach 82% of the total internet traffic. Undoubtedly, the abundance of video-driven applications will likely lead internet video traffic percentage to a further increase in the near future, enabled by associate advances in video devices' capabilities. In response to this ever-growing... |
1311.1757 | Boleslaw Szymanski | Boleslaw K. Szymanski, Xin Lin, Andrea Asztalos, Sameet Sreenivasan | Failure dynamics of the global risk network | null | Scientific Reports 5:10998, June 18, 2015 | 10.1038/srep10998 | null | cs.CY cs.SI physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Risks threatening modern societies form an intricately interconnected network
that often underlies crisis situations. Yet, little is known about how risk
materializations in distinct domains influence each other. Here we present an
approach in which expert assessments of risks likelihoods and influence
underlie a qua... | [
{
"created": "Thu, 7 Nov 2013 17:26:09 GMT",
"version": "v1"
},
{
"created": "Tue, 19 Nov 2013 02:57:29 GMT",
"version": "v2"
},
{
"created": "Mon, 9 Dec 2013 04:10:35 GMT",
"version": "v3"
},
{
"created": "Mon, 19 Jan 2015 16:38:48 GMT",
"version": "v4"
},
{
"cre... | 2016-05-03 | [
[
"Szymanski",
"Boleslaw K.",
""
],
[
"Lin",
"Xin",
""
],
[
"Asztalos",
"Andrea",
""
],
[
"Sreenivasan",
"Sameet",
""
]
] | Risks threatening modern societies form an intricately interconnected network that often underlies crisis situations. Yet, little is known about how risk materializations in distinct domains influence each other. Here we present an approach in which expert assessments of risks likelihoods and influence underlie a quant... |
1903.01067 | Antoni Rosinol | Antoni Rosinol, Torsten Sattler, Marc Pollefeys, Luca Carlone | Incremental Visual-Inertial 3D Mesh Generation with Structural
Regularities | 7 pages, 5 figures, ICRA accepted | IEEE Int. Conf. Robot. Autom. (ICRA), 2019 | null | null | cs.CV cs.CG cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Visual-Inertial Odometry (VIO) algorithms typically rely on a point cloud
representation of the scene that does not model the topology of the
environment. A 3D mesh instead offers a richer, yet lightweight, model.
Nevertheless, building a 3D mesh out of the sparse and noisy 3D landmarks
triangulated by a VIO algorith... | [
{
"created": "Mon, 4 Mar 2019 04:24:50 GMT",
"version": "v1"
},
{
"created": "Mon, 29 Jul 2019 16:36:41 GMT",
"version": "v2"
}
] | 2019-07-30 | [
[
"Rosinol",
"Antoni",
""
],
[
"Sattler",
"Torsten",
""
],
[
"Pollefeys",
"Marc",
""
],
[
"Carlone",
"Luca",
""
]
] | Visual-Inertial Odometry (VIO) algorithms typically rely on a point cloud representation of the scene that does not model the topology of the environment. A 3D mesh instead offers a richer, yet lightweight, model. Nevertheless, building a 3D mesh out of the sparse and noisy 3D landmarks triangulated by a VIO algorithm ... |
2010.14957 | Oliver Niggemann | Benedikt Eiteneuer and Nemanja Hranisavljevic and Oliver Niggemann | Dimensionality Reduction and Anomaly Detection for CPPS Data using
Autoencoder | Copyright IEEE 2019 | 2019 IEEE International Conference on Industrial Technology (ICIT) | 10.1109/ICIT.2019.8755116 | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Unsupervised anomaly detection (AD) is a major topic in the field of
Cyber-Physical Production Systems (CPPSs). A closely related concern is
dimensionality reduction (DR) which is: 1) often used as a preprocessing step
in an AD solution, 2) a sort of AD, if a measure of observation conformity to
the learned data mani... | [
{
"created": "Wed, 28 Oct 2020 13:16:58 GMT",
"version": "v1"
}
] | 2020-10-29 | [
[
"Eiteneuer",
"Benedikt",
""
],
[
"Hranisavljevic",
"Nemanja",
""
],
[
"Niggemann",
"Oliver",
""
]
] | Unsupervised anomaly detection (AD) is a major topic in the field of Cyber-Physical Production Systems (CPPSs). A closely related concern is dimensionality reduction (DR) which is: 1) often used as a preprocessing step in an AD solution, 2) a sort of AD, if a measure of observation conformity to the learned data manifo... |
1911.05640 | F{\i}rat Tuna | Firat Tuna | Neural Network Processing Neural Networks: An efficient way to learn
higher order functions | null | null | null | null | cs.LG cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Functions are rich in meaning and can be interpreted in a variety of ways.
Neural networks were proven to be capable of approximating a large class of
functions[1]. In this paper, we propose a new class of neural networks called
"Neural Network Processing Neural Networks" (NNPNNs), which inputs neural
networks and nu... | [
{
"created": "Wed, 6 Nov 2019 19:15:34 GMT",
"version": "v1"
},
{
"created": "Tue, 14 Jan 2020 23:11:27 GMT",
"version": "v2"
}
] | 2020-01-16 | [
[
"Tuna",
"Firat",
""
]
] | Functions are rich in meaning and can be interpreted in a variety of ways. Neural networks were proven to be capable of approximating a large class of functions[1]. In this paper, we propose a new class of neural networks called "Neural Network Processing Neural Networks" (NNPNNs), which inputs neural networks and nume... |
1810.11584 | Rodrigo de Lamare | T. Cunha and R. C. de Lamare | Study of Joint Automatic Gain Control and MMSE Receiver Design
Techniques for Quantized Multiuser Multiple-Antenna Systems | 3 figures, 6 pages | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents the development of a joint optimization of an automatic
gain control (AGC) algorithm and a linear \textit{minimum mean square error}
(MMSE) receiver for multi-user multiple input multiple output (MU-MIMO) systems
with coarsely quantized signals. The optimization of the AGC is based on the
minimiza... | [
{
"created": "Sat, 27 Oct 2018 02:57:59 GMT",
"version": "v1"
}
] | 2018-10-30 | [
[
"Cunha",
"T.",
""
],
[
"de Lamare",
"R. C.",
""
]
] | This paper presents the development of a joint optimization of an automatic gain control (AGC) algorithm and a linear \textit{minimum mean square error} (MMSE) receiver for multi-user multiple input multiple output (MU-MIMO) systems with coarsely quantized signals. The optimization of the AGC is based on the minimizati... |
2201.08901 | Shashank Shekhar | Shashank Shekhar, Avinash Patel, Mrinal Haloi, Asif Salim | An Ensemble Model for Face Liveness Detection | Accepted and presented at MLDM 2022. To be published in Lattice
journal | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | In this paper, we present a passive method to detect face presentation attack
a.k.a face liveness detection using an ensemble deep learning technique. Face
liveness detection is one of the key steps involved in user identity
verification of customers during the online onboarding/transaction processes.
During identity... | [
{
"created": "Wed, 19 Jan 2022 12:43:39 GMT",
"version": "v1"
}
] | 2022-01-25 | [
[
"Shekhar",
"Shashank",
""
],
[
"Patel",
"Avinash",
""
],
[
"Haloi",
"Mrinal",
""
],
[
"Salim",
"Asif",
""
]
] | In this paper, we present a passive method to detect face presentation attack a.k.a face liveness detection using an ensemble deep learning technique. Face liveness detection is one of the key steps involved in user identity verification of customers during the online onboarding/transaction processes. During identity v... |
2108.09378 | Alexandre Morgand | Alexandre Morgand (1) Mohamed Tamaazousti (2) and Adrien Bartoli (3)
((1) SLAMcore ltd, London, UK (2) Universit\'e Paris Saclay, CEA, LIST,
Gif-sur-Yvette, France (3) IP-UMR 6602 - CNRS/UCA/CHU, Clermont-Ferrand,
France) | A Multiple-View Geometric Model for Specularity Prediction on General
Curved Surfaces | null | null | null | null | cs.CV cs.GR | http://creativecommons.org/licenses/by/4.0/ | Specularity prediction is essential to many computer vision applications,
giving important visual cues usable in Augmented Reality (AR), Simultaneous
Localisation and Mapping (SLAM), 3D reconstruction and material modeling.
However, it is a challenging task requiring numerous information from the scene
including the ... | [
{
"created": "Fri, 20 Aug 2021 21:21:26 GMT",
"version": "v1"
},
{
"created": "Wed, 21 Dec 2022 19:09:26 GMT",
"version": "v2"
}
] | 2022-12-23 | [
[
"Morgand",
"Alexandre",
""
],
[
"Tamaazousti",
"Mohamed",
""
],
[
"Bartoli",
"Adrien",
""
]
] | Specularity prediction is essential to many computer vision applications, giving important visual cues usable in Augmented Reality (AR), Simultaneous Localisation and Mapping (SLAM), 3D reconstruction and material modeling. However, it is a challenging task requiring numerous information from the scene including the ca... |
1006.3128 | Galen Reeves | Galen Reeves and Michael Gastpar | The Sampling Rate-Distortion Tradeoff for Sparsity Pattern Recovery in
Compressed Sensing | null | IEEE Transactions on Information Theory, vo. 58, no. 10, pp.
3065-3092, May, 2012 | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recovery of the sparsity pattern (or support) of an unknown sparse vector
from a limited number of noisy linear measurements is an important problem in
compressed sensing. In the high-dimensional setting, it is known that recovery
with a vanishing fraction of errors is impossible if the measurement rate and
the per-s... | [
{
"created": "Wed, 16 Jun 2010 03:24:19 GMT",
"version": "v1"
},
{
"created": "Mon, 25 Jun 2012 19:19:06 GMT",
"version": "v2"
}
] | 2012-06-26 | [
[
"Reeves",
"Galen",
""
],
[
"Gastpar",
"Michael",
""
]
] | Recovery of the sparsity pattern (or support) of an unknown sparse vector from a limited number of noisy linear measurements is an important problem in compressed sensing. In the high-dimensional setting, it is known that recovery with a vanishing fraction of errors is impossible if the measurement rate and the per-sam... |
2303.17338 | Kaya Turgut | Kaya Turgut and Helin Dutagaci | Local region-learning modules for point cloud classification | null | Machine Vision and Applications 35, 16 (2024) | 10.1007/s00138-023-01495-y | null | cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Data organization via forming local regions is an integral part of deep
learning networks that process 3D point clouds in a hierarchical manner. At
each level, the point cloud is sampled to extract representative points and
these points are used to be centers of local regions. The organization of local
regions is of ... | [
{
"created": "Thu, 30 Mar 2023 12:45:46 GMT",
"version": "v1"
},
{
"created": "Tue, 19 Dec 2023 10:06:08 GMT",
"version": "v2"
}
] | 2023-12-27 | [
[
"Turgut",
"Kaya",
""
],
[
"Dutagaci",
"Helin",
""
]
] | Data organization via forming local regions is an integral part of deep learning networks that process 3D point clouds in a hierarchical manner. At each level, the point cloud is sampled to extract representative points and these points are used to be centers of local regions. The organization of local regions is of co... |
2010.11127 | Gokcen Yilmaz Dayanikli | Gokcen Y. Dayanikli, Rees R. Hatch, Ryan M. Gerdes, Hongjie Wang,
Regan Zane | Electromagnetic Sensor and Actuator Attacks on Power Converters for
Electric Vehicles | Accepted by IEEE S&P Workshop on the Internet of Safe Things 2020 | null | 10.1109/SPW50608.2020.00032 | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Alleviating range anxiety for electric vehicles (i.e., whether such vehicles
can be relied upon to travel long distances in a timely manner) is critical for
sustainable transportation. Extremely fast charging (XFC), whereby electric
vehicles (EV) can be quickly recharged in the time frame it takes to refuel an
intern... | [
{
"created": "Wed, 21 Oct 2020 16:38:24 GMT",
"version": "v1"
}
] | 2021-01-01 | [
[
"Dayanikli",
"Gokcen Y.",
""
],
[
"Hatch",
"Rees R.",
""
],
[
"Gerdes",
"Ryan M.",
""
],
[
"Wang",
"Hongjie",
""
],
[
"Zane",
"Regan",
""
]
] | Alleviating range anxiety for electric vehicles (i.e., whether such vehicles can be relied upon to travel long distances in a timely manner) is critical for sustainable transportation. Extremely fast charging (XFC), whereby electric vehicles (EV) can be quickly recharged in the time frame it takes to refuel an internal... |
2305.00429 | Rathindra Nath Dutta | Rathindra Nath Dutta, Subhojit Sarkar and Sasthi C. Ghosh | A Dynamic Obstacle Tracking Strategy for Proactive Handoffs in
Millimeter-wave Networks | null | null | null | null | cs.NI eess.SP | http://creativecommons.org/licenses/by/4.0/ | Stringent line-of-sight demands necessitated by the fast attenuating nature
of millimeter waves (mmWaves) through obstacles pose one of the central
problems of next generation wireless networks. These mmWave links are easily
disrupted due to obstacles, including vehicles and pedestrians, which cause
degradation in li... | [
{
"created": "Sun, 30 Apr 2023 09:12:11 GMT",
"version": "v1"
},
{
"created": "Wed, 12 Jul 2023 14:03:17 GMT",
"version": "v2"
}
] | 2023-07-13 | [
[
"Dutta",
"Rathindra Nath",
""
],
[
"Sarkar",
"Subhojit",
""
],
[
"Ghosh",
"Sasthi C.",
""
]
] | Stringent line-of-sight demands necessitated by the fast attenuating nature of millimeter waves (mmWaves) through obstacles pose one of the central problems of next generation wireless networks. These mmWave links are easily disrupted due to obstacles, including vehicles and pedestrians, which cause degradation in link... |
1703.09643 | Tshilidzi Marwala | Bo Xing and Tshilidzi Marwala | Implications of the Fourth Industrial Age on Higher Education | Submitted to The Thinker | null | null | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Higher education in the fourth industrial revolution, HE 4.0, is a complex,
dialectical and exciting opportunity which can potentially transform society
for the better. The fourth industrial revolution is powered by artificial
intelligence and it will transform the workplace from tasks based
characteristics to the hu... | [
{
"created": "Fri, 17 Mar 2017 10:12:27 GMT",
"version": "v1"
}
] | 2017-03-29 | [
[
"Xing",
"Bo",
""
],
[
"Marwala",
"Tshilidzi",
""
]
] | Higher education in the fourth industrial revolution, HE 4.0, is a complex, dialectical and exciting opportunity which can potentially transform society for the better. The fourth industrial revolution is powered by artificial intelligence and it will transform the workplace from tasks based characteristics to the huma... |
1601.03481 | Tirtharaj Dash | Tirtharaj Dash, H.S. Behera | A Fuzzy MLP Approach for Non-linear Pattern Classification | The final version of this paper has been published in "International
Conference on Communication and Computing (ICC-2014)"
[http://www.elsevierst.com/conference_book_download_chapter.php?cbid=86#chapter41] | In Proc: K.R. Venugopal, S.C. Lingareddy (eds.) International
Conference on Communication and Computing (ICC- 2014), Bangalore, India (June
12-14, 2014), Computer Networks and Security, 314-323 | null | null | cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In case of decision making problems, classification of pattern is a complex
and crucial task. Pattern classification using multilayer perceptron (MLP)
trained with back propagation learning becomes much complex with increase in
number of layers, number of nodes and number of epochs and ultimate increases
computationa... | [
{
"created": "Sat, 19 Sep 2015 12:45:19 GMT",
"version": "v1"
}
] | 2016-01-15 | [
[
"Dash",
"Tirtharaj",
""
],
[
"Behera",
"H. S.",
""
]
] | In case of decision making problems, classification of pattern is a complex and crucial task. Pattern classification using multilayer perceptron (MLP) trained with back propagation learning becomes much complex with increase in number of layers, number of nodes and number of epochs and ultimate increases computational ... |
1903.03096 | Pascal Lamblin | Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin, Pascal Lamblin, Utku
Evci, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine
Manzagol, Hugo Larochelle | Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few
Examples | Code available at https://github.com/google-research/meta-dataset | International Conference on Learning Representations (2020) | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Few-shot classification refers to learning a classifier for new classes given
only a few examples. While a plethora of models have emerged to tackle it, we
find the procedure and datasets that are used to assess their progress lacking.
To address this limitation, we propose Meta-Dataset: a new benchmark for
training ... | [
{
"created": "Thu, 7 Mar 2019 18:48:55 GMT",
"version": "v1"
},
{
"created": "Tue, 22 Oct 2019 16:04:30 GMT",
"version": "v2"
},
{
"created": "Fri, 14 Feb 2020 22:22:53 GMT",
"version": "v3"
},
{
"created": "Wed, 8 Apr 2020 15:58:20 GMT",
"version": "v4"
}
] | 2020-04-09 | [
[
"Triantafillou",
"Eleni",
""
],
[
"Zhu",
"Tyler",
""
],
[
"Dumoulin",
"Vincent",
""
],
[
"Lamblin",
"Pascal",
""
],
[
"Evci",
"Utku",
""
],
[
"Xu",
"Kelvin",
""
],
[
"Goroshin",
"Ross",
""
],
[
"Gel... | Few-shot classification refers to learning a classifier for new classes given only a few examples. While a plethora of models have emerged to tackle it, we find the procedure and datasets that are used to assess their progress lacking. To address this limitation, we propose Meta-Dataset: a new benchmark for training an... |
2406.08796 | Janghoon Han | Janghoon Han, Changho Lee, Joongbo Shin, Stanley Jungkyu Choi, Honglak
Lee, Kynghoon Bae | Deep Exploration of Cross-Lingual Zero-Shot Generalization in
Instruction Tuning | Findings of ACL 2024 (Camera-ready), by Janghoon Han and Changho Lee,
with equal contribution | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Instruction tuning has emerged as a powerful technique, significantly
boosting zero-shot performance on unseen tasks. While recent work has explored
cross-lingual generalization by applying instruction tuning to multilingual
models, previous studies have primarily focused on English, with a limited
exploration of non... | [
{
"created": "Thu, 13 Jun 2024 04:10:17 GMT",
"version": "v1"
}
] | 2024-06-14 | [
[
"Han",
"Janghoon",
""
],
[
"Lee",
"Changho",
""
],
[
"Shin",
"Joongbo",
""
],
[
"Choi",
"Stanley Jungkyu",
""
],
[
"Lee",
"Honglak",
""
],
[
"Bae",
"Kynghoon",
""
]
] | Instruction tuning has emerged as a powerful technique, significantly boosting zero-shot performance on unseen tasks. While recent work has explored cross-lingual generalization by applying instruction tuning to multilingual models, previous studies have primarily focused on English, with a limited exploration of non-E... |
2405.19534 | Angelica Chen | Angelica Chen, Sadhika Malladi, Lily H. Zhang, Xinyi Chen, Qiuyi
Zhang, Rajesh Ranganath, Kyunghyun Cho | Preference Learning Algorithms Do Not Learn Preference Rankings | null | null | null | null | cs.LG cs.AI cs.CL | http://creativecommons.org/licenses/by/4.0/ | Preference learning algorithms (e.g., RLHF and DPO) are frequently used to
steer LLMs to produce generations that are more preferred by humans, but our
understanding of their inner workings is still limited. In this work, we study
the conventional wisdom that preference learning trains models to assign higher
likelih... | [
{
"created": "Wed, 29 May 2024 21:29:44 GMT",
"version": "v1"
}
] | 2024-05-31 | [
[
"Chen",
"Angelica",
""
],
[
"Malladi",
"Sadhika",
""
],
[
"Zhang",
"Lily H.",
""
],
[
"Chen",
"Xinyi",
""
],
[
"Zhang",
"Qiuyi",
""
],
[
"Ranganath",
"Rajesh",
""
],
[
"Cho",
"Kyunghyun",
""
]
] | Preference learning algorithms (e.g., RLHF and DPO) are frequently used to steer LLMs to produce generations that are more preferred by humans, but our understanding of their inner workings is still limited. In this work, we study the conventional wisdom that preference learning trains models to assign higher likelihoo... |
2209.06345 | Chenhui Zhao | Chenhui Zhao and Xiang Li and Rabih Younes | Self-supervised Multi-Modal Video Forgery Attack Detection | null | null | null | null | cs.MM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Video forgery attack threatens the surveillance system by replacing the video
captures with unrealistic synthesis, which can be powered by the latest augment
reality and virtual reality technologies. From the machine perception aspect,
visual objects often have RF signatures that are naturally synchronized with
them ... | [
{
"created": "Tue, 13 Sep 2022 23:41:26 GMT",
"version": "v1"
},
{
"created": "Sat, 24 Dec 2022 00:28:18 GMT",
"version": "v2"
}
] | 2022-12-27 | [
[
"Zhao",
"Chenhui",
""
],
[
"Li",
"Xiang",
""
],
[
"Younes",
"Rabih",
""
]
] | Video forgery attack threatens the surveillance system by replacing the video captures with unrealistic synthesis, which can be powered by the latest augment reality and virtual reality technologies. From the machine perception aspect, visual objects often have RF signatures that are naturally synchronized with them du... |
2404.12984 | Marek Wodzinski | Mateusz Daniol, Daria Hemmerling, Jakub Sikora, Pawel Jemiolo, Marek
Wodzinski, Magdalena Wojcik-Pedziwiatr | Eye-tracking in Mixed Reality for Diagnosis of Neurodegenerative
Diseases | null | null | null | null | cs.HC cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Parkinson's disease ranks as the second most prevalent neurodegenerative
disorder globally. This research aims to develop a system leveraging Mixed
Reality capabilities for tracking and assessing eye movements. In this paper,
we present a medical scenario and outline the development of an application
designed to capt... | [
{
"created": "Fri, 19 Apr 2024 16:34:15 GMT",
"version": "v1"
},
{
"created": "Mon, 3 Jun 2024 10:45:42 GMT",
"version": "v2"
}
] | 2024-06-04 | [
[
"Daniol",
"Mateusz",
""
],
[
"Hemmerling",
"Daria",
""
],
[
"Sikora",
"Jakub",
""
],
[
"Jemiolo",
"Pawel",
""
],
[
"Wodzinski",
"Marek",
""
],
[
"Wojcik-Pedziwiatr",
"Magdalena",
""
]
] | Parkinson's disease ranks as the second most prevalent neurodegenerative disorder globally. This research aims to develop a system leveraging Mixed Reality capabilities for tracking and assessing eye movements. In this paper, we present a medical scenario and outline the development of an application designed to captur... |
1205.2931 | Douglas S Bridges | Douglas S Bridges (University of Canterbury) | Precompact Apartness Spaces | null | Logical Methods in Computer Science, Volume 8, Issue 2 (June 25,
2012) lmcs:1052 | 10.2168/LMCS-8(2:15)2012 | null | cs.LO math.GN | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a notion of precompactness, and study some of its properties, in
the context of apartness spaces whose apartness structure is not necessarily
induced by any uniform one. The presentation lies entirely with a Bishop-style
constructive framework, and is a contribution to the ongoing development of the
constr... | [
{
"created": "Mon, 14 May 2012 02:29:38 GMT",
"version": "v1"
},
{
"created": "Mon, 18 Jun 2012 17:06:29 GMT",
"version": "v2"
},
{
"created": "Thu, 21 Jun 2012 21:43:49 GMT",
"version": "v3"
},
{
"created": "Mon, 25 Jun 2012 11:20:03 GMT",
"version": "v4"
}
] | 2015-07-01 | [
[
"Bridges",
"Douglas S",
"",
"University of Canterbury"
]
] | We present a notion of precompactness, and study some of its properties, in the context of apartness spaces whose apartness structure is not necessarily induced by any uniform one. The presentation lies entirely with a Bishop-style constructive framework, and is a contribution to the ongoing development of the construc... |
2010.05324 | Tharindu Ranasinghe Mr | Tharindu Ranasinghe, Marcos Zampieri | Multilingual Offensive Language Identification with Cross-lingual
Embeddings | Accepted to EMNLP 2020 | null | null | null | cs.CL cs.LG | http://creativecommons.org/licenses/by/4.0/ | Offensive content is pervasive in social media and a reason for concern to
companies and government organizations. Several studies have been recently
published investigating methods to detect the various forms of such content
(e.g. hate speech, cyberbulling, and cyberaggression). The clear majority of
these studies d... | [
{
"created": "Sun, 11 Oct 2020 19:17:24 GMT",
"version": "v1"
}
] | 2020-10-13 | [
[
"Ranasinghe",
"Tharindu",
""
],
[
"Zampieri",
"Marcos",
""
]
] | Offensive content is pervasive in social media and a reason for concern to companies and government organizations. Several studies have been recently published investigating methods to detect the various forms of such content (e.g. hate speech, cyberbulling, and cyberaggression). The clear majority of these studies dea... |
2302.00032 | Deniz Oktay | Deniz Oktay, Mehran Mirramezani, Eder Medina, Ryan P. Adams | Neuromechanical Autoencoders: Learning to Couple Elastic and Neural
Network Nonlinearity | ICLR 2023 Spotlight | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Intelligent biological systems are characterized by their embodiment in a
complex environment and the intimate interplay between their nervous systems
and the nonlinear mechanical properties of their bodies. This coordination, in
which the dynamics of the motor system co-evolved to reduce the computational
burden on ... | [
{
"created": "Tue, 31 Jan 2023 19:04:28 GMT",
"version": "v1"
}
] | 2023-02-02 | [
[
"Oktay",
"Deniz",
""
],
[
"Mirramezani",
"Mehran",
""
],
[
"Medina",
"Eder",
""
],
[
"Adams",
"Ryan P.",
""
]
] | Intelligent biological systems are characterized by their embodiment in a complex environment and the intimate interplay between their nervous systems and the nonlinear mechanical properties of their bodies. This coordination, in which the dynamics of the motor system co-evolved to reduce the computational burden on th... |
1907.11496 | Xin Wang | Xin Wang, Bo Wu, Yun Ye, Yueqi Zhong | Outfit Compatibility Prediction and Diagnosis with Multi-Layered
Comparison Network | 9 pages, 6 figures, Proceedings of the 27th ACM International
Conference on Multimedia | null | 10.1145/3343031.3350909 | null | cs.CV cs.LG cs.MM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Existing works about fashion outfit compatibility focus on predicting the
overall compatibility of a set of fashion items with their information from
different modalities. However, there are few works explore how to explain the
prediction, which limits the persuasiveness and effectiveness of the model. In
this work, ... | [
{
"created": "Fri, 26 Jul 2019 11:39:15 GMT",
"version": "v1"
},
{
"created": "Thu, 22 Aug 2019 03:56:30 GMT",
"version": "v2"
}
] | 2019-08-23 | [
[
"Wang",
"Xin",
""
],
[
"Wu",
"Bo",
""
],
[
"Ye",
"Yun",
""
],
[
"Zhong",
"Yueqi",
""
]
] | Existing works about fashion outfit compatibility focus on predicting the overall compatibility of a set of fashion items with their information from different modalities. However, there are few works explore how to explain the prediction, which limits the persuasiveness and effectiveness of the model. In this work, we... |
1302.3591 | Suzanne M. Mahoney | Suzanne M. Mahoney, Kathryn Blackmond Laskey | Network Engineering for Complex Belief Networks | Appears in Proceedings of the Twelfth Conference on Uncertainty in
Artificial Intelligence (UAI1996) | null | null | UAI-P-1996-PG-389-396 | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Like any large system development effort, the construction of a complex
belief network model requires systems engineering to manage the design and
construction process. We propose a rapid prototyping approach to network
engineering. We describe criteria for identifying network modules and the use
of "stubs" to repres... | [
{
"created": "Wed, 13 Feb 2013 14:15:26 GMT",
"version": "v1"
}
] | 2013-02-18 | [
[
"Mahoney",
"Suzanne M.",
""
],
[
"Laskey",
"Kathryn Blackmond",
""
]
] | Like any large system development effort, the construction of a complex belief network model requires systems engineering to manage the design and construction process. We propose a rapid prototyping approach to network engineering. We describe criteria for identifying network modules and the use of "stubs" to represen... |
2207.06497 | Qibang Liu | Qibang Liu and Muhao Chen and Robert E. Skelton | An extended ordinary state-based peridynamics for non-spherical horizons | 19 pages, 9 figures | null | 10.1016/j.cma.2022.115712 | null | cs.CE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This work presents an extended ordinary state-based peridynamics (XOSBPD)
model for the non-spherical horizons. Based on the OSBPD, we derive the XOSBPD
by introducing the Lagrange multipliers to guarantee the non-local dilatation
and non-local strain energy density (SED) are equal to local dilatation and
local SED, ... | [
{
"created": "Sat, 18 Jun 2022 20:13:21 GMT",
"version": "v1"
},
{
"created": "Fri, 15 Jul 2022 06:11:49 GMT",
"version": "v2"
}
] | 2022-11-09 | [
[
"Liu",
"Qibang",
""
],
[
"Chen",
"Muhao",
""
],
[
"Skelton",
"Robert E.",
""
]
] | This work presents an extended ordinary state-based peridynamics (XOSBPD) model for the non-spherical horizons. Based on the OSBPD, we derive the XOSBPD by introducing the Lagrange multipliers to guarantee the non-local dilatation and non-local strain energy density (SED) are equal to local dilatation and local SED, re... |
2309.07400 | Ziyu Guo | Ziyu Guo, Weiqin Zhao, Shujun Wang, and Lequan Yu | HIGT: Hierarchical Interaction Graph-Transformer for Whole Slide Image
Analysis | Accepted by MICCAI2023; Code is available in
https://github.com/HKU-MedAI/HIGT | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In computation pathology, the pyramid structure of gigapixel Whole Slide
Images (WSIs) has recently been studied for capturing various information from
individual cell interactions to tissue microenvironments. This hierarchical
structure is believed to be beneficial for cancer diagnosis and prognosis
tasks. However, ... | [
{
"created": "Thu, 14 Sep 2023 03:04:06 GMT",
"version": "v1"
}
] | 2023-09-15 | [
[
"Guo",
"Ziyu",
""
],
[
"Zhao",
"Weiqin",
""
],
[
"Wang",
"Shujun",
""
],
[
"Yu",
"Lequan",
""
]
] | In computation pathology, the pyramid structure of gigapixel Whole Slide Images (WSIs) has recently been studied for capturing various information from individual cell interactions to tissue microenvironments. This hierarchical structure is believed to be beneficial for cancer diagnosis and prognosis tasks. However, mo... |
2110.12615 | Quanquan Gu | Heyang Zhao and Dongruo Zhou and Quanquan Gu | Linear Contextual Bandits with Adversarial Corruptions | 27 pages, 1 figure | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the linear contextual bandit problem in the presence of adversarial
corruption, where the interaction between the player and a possibly infinite
decision set is contaminated by an adversary that can corrupt the reward up to
a corruption level $C$ measured by the sum of the largest alteration on rewards
in ea... | [
{
"created": "Mon, 25 Oct 2021 02:53:24 GMT",
"version": "v1"
}
] | 2021-10-26 | [
[
"Zhao",
"Heyang",
""
],
[
"Zhou",
"Dongruo",
""
],
[
"Gu",
"Quanquan",
""
]
] | We study the linear contextual bandit problem in the presence of adversarial corruption, where the interaction between the player and a possibly infinite decision set is contaminated by an adversary that can corrupt the reward up to a corruption level $C$ measured by the sum of the largest alteration on rewards in each... |
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