id stringlengths 9 10 | submitter stringlengths 1 64 ⌀ | authors stringlengths 4 20.7k | title stringlengths 4 246 | comments stringlengths 1 523 ⌀ | journal-ref stringlengths 4 404 ⌀ | doi stringlengths 11 153 ⌀ | report-no stringlengths 2 254 ⌀ | categories stringlengths 5 98 | license stringclasses 9
values | orig_abstract stringlengths 14 3.35k | versions listlengths 1 60 | update_date stringlengths 10 10 | authors_parsed listlengths 1 1.35k | abstract stringlengths 11 3.34k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2301.05948 | Damien Sileo | Damien Sileo | tasksource: A Dataset Harmonization Framework for Streamlined NLP
Multi-Task Learning and Evaluation | null | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | The HuggingFace Datasets Hub hosts thousands of datasets, offering exciting
opportunities for language model training and evaluation. However, datasets for
a specific task type often have different schemas, making harmonization
challenging. Multi-task training or evaluation necessitates manual work to fit
data into t... | [
{
"created": "Sat, 14 Jan 2023 16:38:04 GMT",
"version": "v1"
},
{
"created": "Fri, 10 Feb 2023 09:35:32 GMT",
"version": "v2"
},
{
"created": "Tue, 16 May 2023 08:19:44 GMT",
"version": "v3"
}
] | 2023-05-17 | [
[
"Sileo",
"Damien",
""
]
] | The HuggingFace Datasets Hub hosts thousands of datasets, offering exciting opportunities for language model training and evaluation. However, datasets for a specific task type often have different schemas, making harmonization challenging. Multi-task training or evaluation necessitates manual work to fit data into tas... |
2302.05645 | Wei Ni | Chaoying Yuan, Wei Ni, Kezhong Zhang, Jingpeng Bai, Jun Shen, and
AbbasJamalipour | User Pairing and Power Allocation in Untrusted Multiuser NOMA for
Internet-of-Things | null | null | null | null | cs.IT cs.NI math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the Internet-of-Things (IoT), massive sensitive and confidential
information is transmitted wirelessly, making security a serious concern. This
is particularly true when technologies, such as non-orthogonal multiple access
(NOMA), are used, making it possible for users to access each other's data.
This paper studi... | [
{
"created": "Sat, 11 Feb 2023 10:17:13 GMT",
"version": "v1"
}
] | 2023-02-14 | [
[
"Yuan",
"Chaoying",
""
],
[
"Ni",
"Wei",
""
],
[
"Zhang",
"Kezhong",
""
],
[
"Bai",
"Jingpeng",
""
],
[
"Shen",
"Jun",
""
],
[
"AbbasJamalipour",
"",
""
]
] | In the Internet-of-Things (IoT), massive sensitive and confidential information is transmitted wirelessly, making security a serious concern. This is particularly true when technologies, such as non-orthogonal multiple access (NOMA), are used, making it possible for users to access each other's data. This paper studies... |
2104.12226 | Tim Dernedde | Ahmad Bdeir, Simon Boeder, Tim Dernedde, Kirill Tkachuk, Jonas K.
Falkner, Lars Schmidt-Thieme | RP-DQN: An application of Q-Learning to Vehicle Routing Problems | 14 pages, 4 figures | null | null | null | cs.LG | http://creativecommons.org/licenses/by-sa/4.0/ | In this paper we present a new approach to tackle complex routing problems
with an improved state representation that utilizes the model complexity better
than previous methods. We enable this by training from temporal differences.
Specifically Q-Learning is employed. We show that our approach achieves
state-of-the-a... | [
{
"created": "Sun, 25 Apr 2021 18:28:35 GMT",
"version": "v1"
}
] | 2021-04-27 | [
[
"Bdeir",
"Ahmad",
""
],
[
"Boeder",
"Simon",
""
],
[
"Dernedde",
"Tim",
""
],
[
"Tkachuk",
"Kirill",
""
],
[
"Falkner",
"Jonas K.",
""
],
[
"Schmidt-Thieme",
"Lars",
""
]
] | In this paper we present a new approach to tackle complex routing problems with an improved state representation that utilizes the model complexity better than previous methods. We enable this by training from temporal differences. Specifically Q-Learning is employed. We show that our approach achieves state-of-the-art... |
2004.05835 | Rodolfo Miranda Pereira | Rodolfo M. Pereira, Diego Bertolini, Lucas O. Teixeira, Carlos N.
Silla Jr., and Yandre M. G. Costa | COVID-19 identification in chest X-ray images on flat and hierarchical
classification scenarios | Accepted for publication in the Computer Methods and Programs in
Biomedicine Journal | null | 10.1016/j.cmpb.2020.105532 | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The COVID-19 can cause severe pneumonia and is estimated to have a high
impact on the healthcare system. The standard image diagnosis tests for
pneumonia are chest X-ray (CXR) and computed tomography (CT) scan. CXR are
useful in because it is cheaper, faster and more widespread than CT. This study
aims to identify pn... | [
{
"created": "Mon, 13 Apr 2020 09:22:32 GMT",
"version": "v1"
},
{
"created": "Wed, 15 Apr 2020 21:46:17 GMT",
"version": "v2"
},
{
"created": "Wed, 6 May 2020 14:15:00 GMT",
"version": "v3"
}
] | 2020-05-12 | [
[
"Pereira",
"Rodolfo M.",
""
],
[
"Bertolini",
"Diego",
""
],
[
"Teixeira",
"Lucas O.",
""
],
[
"Silla",
"Carlos N.",
"Jr."
],
[
"Costa",
"Yandre M. G.",
""
]
] | The COVID-19 can cause severe pneumonia and is estimated to have a high impact on the healthcare system. The standard image diagnosis tests for pneumonia are chest X-ray (CXR) and computed tomography (CT) scan. CXR are useful in because it is cheaper, faster and more widespread than CT. This study aims to identify pneu... |
2106.13364 | Daniel McDuff | Daniel McDuff, Yale Song, Jiyoung Lee, Vibhav Vineet, Sai Vemprala,
Nicholas Gyde, Hadi Salman, Shuang Ma, Kwanghoon Sohn and Ashish Kapoor | CausalCity: Complex Simulations with Agency for Causal Discovery and
Reasoning | null | null | null | null | cs.AI cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The ability to perform causal and counterfactual reasoning are central
properties of human intelligence. Decision-making systems that can perform
these types of reasoning have the potential to be more generalizable and
interpretable. Simulations have helped advance the state-of-the-art in this
domain, by providing th... | [
{
"created": "Fri, 25 Jun 2021 00:21:41 GMT",
"version": "v1"
}
] | 2021-06-28 | [
[
"McDuff",
"Daniel",
""
],
[
"Song",
"Yale",
""
],
[
"Lee",
"Jiyoung",
""
],
[
"Vineet",
"Vibhav",
""
],
[
"Vemprala",
"Sai",
""
],
[
"Gyde",
"Nicholas",
""
],
[
"Salman",
"Hadi",
""
],
[
"Ma",
"... | The ability to perform causal and counterfactual reasoning are central properties of human intelligence. Decision-making systems that can perform these types of reasoning have the potential to be more generalizable and interpretable. Simulations have helped advance the state-of-the-art in this domain, by providing the ... |
1904.00561 | Matthew Britton | Matthew Britton | VINE: Visualizing Statistical Interactions in Black Box Models | null | null | null | null | cs.LG stat.ML | http://creativecommons.org/licenses/by-sa/4.0/ | As machine learning becomes more pervasive, there is an urgent need for
interpretable explanations of predictive models. Prior work has developed
effective methods for visualizing global model behavior, as well as generating
local (instance-specific) explanations. However, relatively little work has
addressed regiona... | [
{
"created": "Mon, 1 Apr 2019 04:42:07 GMT",
"version": "v1"
}
] | 2019-04-02 | [
[
"Britton",
"Matthew",
""
]
] | As machine learning becomes more pervasive, there is an urgent need for interpretable explanations of predictive models. Prior work has developed effective methods for visualizing global model behavior, as well as generating local (instance-specific) explanations. However, relatively little work has addressed regional ... |
2112.14831 | Christina Delimitrou | Liam Patterson, David Pigorovsky, Brian Dempsey, Nikita Lazarev,
Aditya Shah, Clara Steinhoff, Ariana Bruno, Justin Hu, Christina Delimitrou | A Hardware-Software Stack for Serverless Edge Swarms | null | null | null | null | cs.DC cs.AR | http://creativecommons.org/licenses/by/4.0/ | Swarms of autonomous devices are increasing in ubiquity and size, making the
need for rethinking their hardware-software system stack critical.
We present HiveMind, the first swarm coordination platform that enables
programmable execution of complex task workflows between cloud and edge
resources in a performant an... | [
{
"created": "Wed, 29 Dec 2021 21:49:39 GMT",
"version": "v1"
}
] | 2022-01-03 | [
[
"Patterson",
"Liam",
""
],
[
"Pigorovsky",
"David",
""
],
[
"Dempsey",
"Brian",
""
],
[
"Lazarev",
"Nikita",
""
],
[
"Shah",
"Aditya",
""
],
[
"Steinhoff",
"Clara",
""
],
[
"Bruno",
"Ariana",
""
],
[
... | Swarms of autonomous devices are increasing in ubiquity and size, making the need for rethinking their hardware-software system stack critical. We present HiveMind, the first swarm coordination platform that enables programmable execution of complex task workflows between cloud and edge resources in a performant and sc... |
2011.10710 | Xiaoyi Qin | Xiaoyi Qin and Yaogen Yang and Lin Yang and Xuyang Wang and Junjie
Wang and Ming Li | Exploring Voice Conversion based Data Augmentation in Text-Dependent
Speaker Verification | Submitted to ICASSP2021 | null | null | null | cs.SD eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we focus on improving the performance of the text-dependent
speaker verification system in the scenario of limited training data. The
speaker verification system deep learning based text-dependent generally needs
a large scale text-dependent training data set which could be labor and cost
expensive, es... | [
{
"created": "Sat, 21 Nov 2020 02:55:47 GMT",
"version": "v1"
}
] | 2020-11-24 | [
[
"Qin",
"Xiaoyi",
""
],
[
"Yang",
"Yaogen",
""
],
[
"Yang",
"Lin",
""
],
[
"Wang",
"Xuyang",
""
],
[
"Wang",
"Junjie",
""
],
[
"Li",
"Ming",
""
]
] | In this paper, we focus on improving the performance of the text-dependent speaker verification system in the scenario of limited training data. The speaker verification system deep learning based text-dependent generally needs a large scale text-dependent training data set which could be labor and cost expensive, espe... |
2005.01322 | Pawel Swietojanski | O. Miksik, I. Munasinghe, J. Asensio-Cubero, S. Reddy Bethi, S-T.
Huang, S. Zylfo, X. Liu, T. Nica, A. Mitrocsak, S. Mezza, R. Beard, R. Shi,
R. Ng, P. Mediano, Z. Fountas, S-H. Lee, J. Medvesek, H. Zhuang, Y. Rogers,
P. Swietojanski | Building Proactive Voice Assistants: When and How (not) to Interact | 17 pages, technical report | null | null | null | cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Voice assistants have recently achieved remarkable commercial success.
However, the current generation of these devices is typically capable of only
reactive interactions. In other words, interactions have to be initiated by the
user, which somewhat limits their usability and user experience. We propose,
that the nex... | [
{
"created": "Mon, 4 May 2020 08:42:50 GMT",
"version": "v1"
}
] | 2020-05-05 | [
[
"Miksik",
"O.",
""
],
[
"Munasinghe",
"I.",
""
],
[
"Asensio-Cubero",
"J.",
""
],
[
"Bethi",
"S. Reddy",
""
],
[
"Huang",
"S-T.",
""
],
[
"Zylfo",
"S.",
""
],
[
"Liu",
"X.",
""
],
[
"Nica",
"T."... | Voice assistants have recently achieved remarkable commercial success. However, the current generation of these devices is typically capable of only reactive interactions. In other words, interactions have to be initiated by the user, which somewhat limits their usability and user experience. We propose, that the next ... |
2304.07633 | Yizhou Zhang | Yizhou Zhang, Loc Trinh, Defu Cao, Zijun Cui, Yan Liu | Interpretable Detection of Out-of-Context Misinformation with
Neural-Symbolic-Enhanced Large Multimodal Model | 9 Pages, 3 Figures | null | null | null | cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent years have witnessed the sustained evolution of misinformation that
aims at manipulating public opinions. Unlike traditional rumors or fake news
editors who mainly rely on generated and/or counterfeited images, text and
videos, current misinformation creators now more tend to use out-of-context
multimedia cont... | [
{
"created": "Sat, 15 Apr 2023 21:11:55 GMT",
"version": "v1"
},
{
"created": "Fri, 5 Apr 2024 23:39:52 GMT",
"version": "v2"
}
] | 2024-04-09 | [
[
"Zhang",
"Yizhou",
""
],
[
"Trinh",
"Loc",
""
],
[
"Cao",
"Defu",
""
],
[
"Cui",
"Zijun",
""
],
[
"Liu",
"Yan",
""
]
] | Recent years have witnessed the sustained evolution of misinformation that aims at manipulating public opinions. Unlike traditional rumors or fake news editors who mainly rely on generated and/or counterfeited images, text and videos, current misinformation creators now more tend to use out-of-context multimedia conten... |
1704.03069 | Dario Prandi | Dario Prandi and Jean-Paul Gauthier | A semidiscrete version of the Citti-Petitot-Sarti model as a plausible
model for anthropomorphic image reconstruction and pattern recognition | 123 pages, revised version | null | 10.1007/978-3-319-78482-3 | null | cs.CV math.AP math.RT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In his beautiful book [66], Jean Petitot proposes a sub-Riemannian model for
the primary visual cortex of mammals. This model is neurophysiologically
justified. Further developments of this theory lead to efficient algorithms for
image reconstruction, based upon the consideration of an associated
hypoelliptic diffusi... | [
{
"created": "Mon, 10 Apr 2017 22:15:42 GMT",
"version": "v1"
},
{
"created": "Tue, 23 May 2017 09:05:13 GMT",
"version": "v2"
},
{
"created": "Thu, 11 Jan 2018 14:53:55 GMT",
"version": "v3"
}
] | 2020-02-11 | [
[
"Prandi",
"Dario",
""
],
[
"Gauthier",
"Jean-Paul",
""
]
] | In his beautiful book [66], Jean Petitot proposes a sub-Riemannian model for the primary visual cortex of mammals. This model is neurophysiologically justified. Further developments of this theory lead to efficient algorithms for image reconstruction, based upon the consideration of an associated hypoelliptic diffusion... |
2112.01283 | Minjing Shi | Minjing Shi, Pengfei He, Yuli Shi | Detecting Extratropical Cyclones of the Northern Hemisphere with Single
Shot Detector | null | null | null | null | cs.LG cs.CV physics.ao-ph | http://creativecommons.org/licenses/by-nc-sa/4.0/ | In this paper, we propose a deep learning-based model to detect extratropical
cyclones (ETCs) of northern hemisphere, while developing a novel workflow of
processing images and generating labels for ETCs. We first label the cyclone
center by adapting an approach from Bonfanti et.al. [1] and set up criteria of
labelin... | [
{
"created": "Wed, 1 Dec 2021 00:46:37 GMT",
"version": "v1"
}
] | 2021-12-03 | [
[
"Shi",
"Minjing",
""
],
[
"He",
"Pengfei",
""
],
[
"Shi",
"Yuli",
""
]
] | In this paper, we propose a deep learning-based model to detect extratropical cyclones (ETCs) of northern hemisphere, while developing a novel workflow of processing images and generating labels for ETCs. We first label the cyclone center by adapting an approach from Bonfanti et.al. [1] and set up criteria of labeling ... |
2004.10474 | Robin Bloomfield | Robin Bloomfield (1), John Rushby (2) ((1) Adelard LLP and City,
University of London (2) SRI International) | Assurance 2.0: A Manifesto | null | null | null | null | cs.SE cs.SY eess.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | System assurance is confronted by significant challenges. Some of these are
new, for example, autonomous systems with major functions driven by machine
learning and AI, and ultra-rapid system development, while others are the
familiar, persistent issues of the need for efficient, effective and timely
assurance. Tradi... | [
{
"created": "Wed, 22 Apr 2020 10:08:44 GMT",
"version": "v1"
},
{
"created": "Tue, 9 Jun 2020 20:48:16 GMT",
"version": "v2"
},
{
"created": "Thu, 14 Jan 2021 12:40:46 GMT",
"version": "v3"
}
] | 2021-01-15 | [
[
"Bloomfield",
"Robin",
""
],
[
"Rushby",
"John",
""
]
] | System assurance is confronted by significant challenges. Some of these are new, for example, autonomous systems with major functions driven by machine learning and AI, and ultra-rapid system development, while others are the familiar, persistent issues of the need for efficient, effective and timely assurance. Traditi... |
1109.1359 | Agus Pratondo | Agus Pratondo | Representation for alphanumeric data type based on space and speed case
study: Student ID of X university | null | null | 10.5121/ijdms.2011.3303 | null | cs.DB | http://creativecommons.org/licenses/by-nc-sa/3.0/ | ID is derived from the word identity, derived from the first two characters
in the word. ID is used to distinguish between an entity to another entity.
Student ID (SID) is the key differentiator between a student with other
students. On the concept of database, the differentiator is unique. SID can be
numbers, letter... | [
{
"created": "Wed, 7 Sep 2011 05:57:20 GMT",
"version": "v1"
}
] | 2011-09-08 | [
[
"Pratondo",
"Agus",
""
]
] | ID is derived from the word identity, derived from the first two characters in the word. ID is used to distinguish between an entity to another entity. Student ID (SID) is the key differentiator between a student with other students. On the concept of database, the differentiator is unique. SID can be numbers, letters,... |
2306.15967 | Aleksandra Istomina | Aleksandra Istomina, Semyon Grigorev, Ekaterina Shemetova | Fine-grained reductions around CFL-reachability | 34 pages, 7 figures | null | null | null | cs.CC | http://creativecommons.org/licenses/by-sa/4.0/ | In this paper we study the fine-grained complexity of the CFL reachability
problem. We first present one of the existing algorithms for the problem and an
overview of conditional lower bounds based on widely believed hypotheses. We
then use the existing reduction techniques to obtain new conditional lower
bounds on C... | [
{
"created": "Wed, 28 Jun 2023 07:10:44 GMT",
"version": "v1"
}
] | 2023-06-29 | [
[
"Istomina",
"Aleksandra",
""
],
[
"Grigorev",
"Semyon",
""
],
[
"Shemetova",
"Ekaterina",
""
]
] | In this paper we study the fine-grained complexity of the CFL reachability problem. We first present one of the existing algorithms for the problem and an overview of conditional lower bounds based on widely believed hypotheses. We then use the existing reduction techniques to obtain new conditional lower bounds on CFL... |
1609.00875 | Zhiyong Shan | Zhiyong Shan | Compatible and Usable Mandatory Access Control for Good-enough OS
Security | Electronic Commerce and Security, 2009. ISECS '09. Second
International Symposium on | null | 10.1109/ISECS.2009.29 | null | cs.OS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | OS compromise is one of the most serious computer security problems today,
but still not being resolved. Although people proposed different kinds of
methods, they could not be accepted by most users who are non-expert due to the
lack of compatibility and usability. In this paper, we introduce a kind of new
mandatory ... | [
{
"created": "Sat, 3 Sep 2016 23:09:11 GMT",
"version": "v1"
}
] | 2016-09-06 | [
[
"Shan",
"Zhiyong",
""
]
] | OS compromise is one of the most serious computer security problems today, but still not being resolved. Although people proposed different kinds of methods, they could not be accepted by most users who are non-expert due to the lack of compatibility and usability. In this paper, we introduce a kind of new mandatory ac... |
2108.09682 | Changxing Ding | Pengfei Wang, Changxing Ding, Wentao Tan, Mingming Gong, Kui Jia,
Dacheng Tao | Uncertainty-aware Clustering for Unsupervised Domain Adaptive Object
Re-identification | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Unsupervised Domain Adaptive (UDA) object re-identification (Re-ID) aims at
adapting a model trained on a labeled source domain to an unlabeled target
domain. State-of-the-art object Re-ID approaches adopt clustering algorithms to
generate pseudo-labels for the unlabeled target domain. However, the inevitable
label n... | [
{
"created": "Sun, 22 Aug 2021 09:57:14 GMT",
"version": "v1"
}
] | 2021-08-24 | [
[
"Wang",
"Pengfei",
""
],
[
"Ding",
"Changxing",
""
],
[
"Tan",
"Wentao",
""
],
[
"Gong",
"Mingming",
""
],
[
"Jia",
"Kui",
""
],
[
"Tao",
"Dacheng",
""
]
] | Unsupervised Domain Adaptive (UDA) object re-identification (Re-ID) aims at adapting a model trained on a labeled source domain to an unlabeled target domain. State-of-the-art object Re-ID approaches adopt clustering algorithms to generate pseudo-labels for the unlabeled target domain. However, the inevitable label noi... |
2303.06999 | Marius Schubert | Marius Schubert, Tobias Riedlinger, Karsten Kahl, Daniel Kr\"oll,
Sebastian Schoenen, Sini\v{s}a \v{S}egvi\'c, Matthias Rottmann | Identifying Label Errors in Object Detection Datasets by Loss Inspection | null | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Labeling datasets for supervised object detection is a dull and
time-consuming task. Errors can be easily introduced during annotation and
overlooked during review, yielding inaccurate benchmarks and performance
degradation of deep neural networks trained on noisy labels. In this work, we
for the first time introduce... | [
{
"created": "Mon, 13 Mar 2023 10:54:52 GMT",
"version": "v1"
},
{
"created": "Mon, 30 Oct 2023 08:08:13 GMT",
"version": "v2"
},
{
"created": "Tue, 19 Dec 2023 07:30:25 GMT",
"version": "v3"
}
] | 2023-12-20 | [
[
"Schubert",
"Marius",
""
],
[
"Riedlinger",
"Tobias",
""
],
[
"Kahl",
"Karsten",
""
],
[
"Kröll",
"Daniel",
""
],
[
"Schoenen",
"Sebastian",
""
],
[
"Šegvić",
"Siniša",
""
],
[
"Rottmann",
"Matthias",
""
... | Labeling datasets for supervised object detection is a dull and time-consuming task. Errors can be easily introduced during annotation and overlooked during review, yielding inaccurate benchmarks and performance degradation of deep neural networks trained on noisy labels. In this work, we for the first time introduce a... |
cs/0511014 | Kumar Neeraj Verma | Helmut Seidl, Kumar Neeraj Verma | Flat and One-Variable Clauses: Complexity of Verifying Cryptographic
Protocols with Single Blind Copying | Long version of paper presented at LPAR 2004 | null | null | null | cs.LO cs.CR | null | Cryptographic protocols with single blind copying were defined and modeled by
Comon and Cortier using the new class $\mathcal C$ of first order clauses. They
showed its satisfiability problem to be in 3-DEXPTIME. We improve this result
by showing that satisfiability for this class is NEXPTIME-complete, using new
reso... | [
{
"created": "Thu, 3 Nov 2005 13:40:22 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Seidl",
"Helmut",
""
],
[
"Verma",
"Kumar Neeraj",
""
]
] | Cryptographic protocols with single blind copying were defined and modeled by Comon and Cortier using the new class $\mathcal C$ of first order clauses. They showed its satisfiability problem to be in 3-DEXPTIME. We improve this result by showing that satisfiability for this class is NEXPTIME-complete, using new resolu... |
2311.02277 | Austin Allison | Austin Allison, Nathaniel Hanson, Sebastian Wicke, Ta\c{s}k{\i}n
Pad{\i}r | HASHI: Highly Adaptable Seafood Handling Instrument for Manipulation in
Industrial Settings | null | null | null | null | cs.RO | http://creativecommons.org/licenses/by-nc-sa/4.0/ | The seafood processing industry provides fertile ground for robotics to
impact the future-of-work from multiple perspectives including productivity,
worker safety, and quality of work life. The robotics research challenge is the
realization of flexible and reliable manipulation of soft, deformable,
slippery, spiky an... | [
{
"created": "Fri, 3 Nov 2023 23:58:31 GMT",
"version": "v1"
}
] | 2023-11-07 | [
[
"Allison",
"Austin",
""
],
[
"Hanson",
"Nathaniel",
""
],
[
"Wicke",
"Sebastian",
""
],
[
"Padır",
"Taşkın",
""
]
] | The seafood processing industry provides fertile ground for robotics to impact the future-of-work from multiple perspectives including productivity, worker safety, and quality of work life. The robotics research challenge is the realization of flexible and reliable manipulation of soft, deformable, slippery, spiky and ... |
1808.08180 | Vinkle Kumar Srivastav | Vinkle Srivastav, Thibaut Issenhuth, Abdolrahim Kadkhodamohammadi,
Michel de Mathelin, Afshin Gangi, Nicolas Padoy | MVOR: A Multi-view RGB-D Operating Room Dataset for 2D and 3D Human Pose
Estimation | Dataset and code is available at
https://github.com/camma-public/mvor. The paper was presented in the
MICCAI-LABELS 2018
(https://labels.tue-image.nl/previous-editions/labels-2018/) | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Person detection and pose estimation is a key requirement to develop
intelligent context-aware assistance systems. To foster the development of
human pose estimation methods and their applications in the Operating Room
(OR), we release the Multi-View Operating Room (MVOR) dataset, the first public
dataset recorded du... | [
{
"created": "Fri, 24 Aug 2018 15:47:48 GMT",
"version": "v1"
},
{
"created": "Tue, 22 Oct 2019 08:17:43 GMT",
"version": "v2"
},
{
"created": "Fri, 20 Aug 2021 10:39:50 GMT",
"version": "v3"
}
] | 2021-08-23 | [
[
"Srivastav",
"Vinkle",
""
],
[
"Issenhuth",
"Thibaut",
""
],
[
"Kadkhodamohammadi",
"Abdolrahim",
""
],
[
"de Mathelin",
"Michel",
""
],
[
"Gangi",
"Afshin",
""
],
[
"Padoy",
"Nicolas",
""
]
] | Person detection and pose estimation is a key requirement to develop intelligent context-aware assistance systems. To foster the development of human pose estimation methods and their applications in the Operating Room (OR), we release the Multi-View Operating Room (MVOR) dataset, the first public dataset recorded duri... |
2202.00617 | Thomas Kingsford | Thomas Kingsford | A General, Evolution-Inspired Reward Function for Social Robotics | null | null | null | null | cs.RO cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The field of social robotics will likely need to depart from a paradigm of
designed behaviours and imitation learning and adopt modern reinforcement
learning (RL) methods to enable robots to interact fluidly and efficaciously
with humans. In this paper, we present the Social Reward Function as a
mechanism to provide ... | [
{
"created": "Tue, 1 Feb 2022 18:05:31 GMT",
"version": "v1"
}
] | 2022-02-02 | [
[
"Kingsford",
"Thomas",
""
]
] | The field of social robotics will likely need to depart from a paradigm of designed behaviours and imitation learning and adopt modern reinforcement learning (RL) methods to enable robots to interact fluidly and efficaciously with humans. In this paper, we present the Social Reward Function as a mechanism to provide (1... |
1812.01190 | Wenjin Wu | Wenjin Wu, Guojun Liu, Hui Ye, Chenshuang Zhang, Tianshu Wu, Daorui
Xiao, Wei Lin, Xiaoyu Zhu | EENMF: An End-to-End Neural Matching Framework for E-Commerce Sponsored
Search | null | null | null | null | cs.IR cs.LG stat.ML | http://creativecommons.org/publicdomain/zero/1.0/ | E-commerce sponsored search contributes an important part of revenue for the
e-commerce company. In consideration of effectiveness and efficiency, a
large-scale sponsored search system commonly adopts a multi-stage architecture.
We name these stages as ad retrieval, ad pre-ranking and ad ranking. Ad
retrieval and ad ... | [
{
"created": "Tue, 4 Dec 2018 03:10:18 GMT",
"version": "v1"
},
{
"created": "Wed, 5 Dec 2018 05:53:05 GMT",
"version": "v2"
},
{
"created": "Thu, 6 Dec 2018 06:18:19 GMT",
"version": "v3"
},
{
"created": "Sun, 9 Dec 2018 06:00:41 GMT",
"version": "v4"
}
] | 2018-12-11 | [
[
"Wu",
"Wenjin",
""
],
[
"Liu",
"Guojun",
""
],
[
"Ye",
"Hui",
""
],
[
"Zhang",
"Chenshuang",
""
],
[
"Wu",
"Tianshu",
""
],
[
"Xiao",
"Daorui",
""
],
[
"Lin",
"Wei",
""
],
[
"Zhu",
"Xiaoyu",
... | E-commerce sponsored search contributes an important part of revenue for the e-commerce company. In consideration of effectiveness and efficiency, a large-scale sponsored search system commonly adopts a multi-stage architecture. We name these stages as ad retrieval, ad pre-ranking and ad ranking. Ad retrieval and ad pr... |
1912.06840 | Heng Wang | Heng Wang, Donghao Zhang, Yang Song, Heng Huang, Mei Chen, Weidong Cai | Region and Object based Panoptic Image Synthesis through Conditional
GANs | 10 pages, 5 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Image-to-image translation is significant to many computer vision and machine
learning tasks such as image synthesis and video synthesis. It has primary
applications in the graphics editing and animation industries. With the
development of generative adversarial networks, a lot of attention has been
drawn to image-to... | [
{
"created": "Sat, 14 Dec 2019 13:26:14 GMT",
"version": "v1"
}
] | 2019-12-17 | [
[
"Wang",
"Heng",
""
],
[
"Zhang",
"Donghao",
""
],
[
"Song",
"Yang",
""
],
[
"Huang",
"Heng",
""
],
[
"Chen",
"Mei",
""
],
[
"Cai",
"Weidong",
""
]
] | Image-to-image translation is significant to many computer vision and machine learning tasks such as image synthesis and video synthesis. It has primary applications in the graphics editing and animation industries. With the development of generative adversarial networks, a lot of attention has been drawn to image-to-i... |
1912.07551 | Lorenzo Lucchini | Lorenzo Lucchini, Sara Tonelli and Bruno Lepri | Following the footsteps of giants: Modeling the mobility of historically
notable individuals using Wikipedia | null | EPJ Data Sci. 8, 36 (2019) | 10.1140/epjds/s13688-019-0215-7 | null | cs.SI physics.soc-ph | http://creativecommons.org/licenses/by-nc-sa/4.0/ | The steady growth of digitized historical information is continuously
stimulating new different approaches to the fields of Digital Humanities and
Computational Social Science. In this work, we use Natural Language Processing
techniques to retrieve large amounts of historical information from Wikipedia.
In particular... | [
{
"created": "Mon, 16 Dec 2019 17:56:56 GMT",
"version": "v1"
}
] | 2019-12-17 | [
[
"Lucchini",
"Lorenzo",
""
],
[
"Tonelli",
"Sara",
""
],
[
"Lepri",
"Bruno",
""
]
] | The steady growth of digitized historical information is continuously stimulating new different approaches to the fields of Digital Humanities and Computational Social Science. In this work, we use Natural Language Processing techniques to retrieve large amounts of historical information from Wikipedia. In particular, ... |
2103.06665 | David Schaller | David Schaller, Manuela Gei{\ss}, Marc Hellmuth, Peter F. Stadler | Arc-Completion of 2-Colored Best Match Graphs to Binary-Explainable Best
Match Graphs | null | null | null | null | cs.DS cs.DM math.CO q-bio.PE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Best match graphs (BMGs) are vertex-colored digraphs that naturally arise in
mathematical phylogenetics to formalize the notion of evolutionary closest
genes w.r.t. an a priori unknown phylogenetic tree. BMGs are explained by
unique least resolved trees. We prove that the property of a rooted,
leaf-colored tree to be... | [
{
"created": "Thu, 11 Mar 2021 13:41:41 GMT",
"version": "v1"
}
] | 2021-03-12 | [
[
"Schaller",
"David",
""
],
[
"Geiß",
"Manuela",
""
],
[
"Hellmuth",
"Marc",
""
],
[
"Stadler",
"Peter F.",
""
]
] | Best match graphs (BMGs) are vertex-colored digraphs that naturally arise in mathematical phylogenetics to formalize the notion of evolutionary closest genes w.r.t. an a priori unknown phylogenetic tree. BMGs are explained by unique least resolved trees. We prove that the property of a rooted, leaf-colored tree to be l... |
2202.12348 | Federico Errica | Federico Errica | Bayesian Deep Learning for Graphs | PhD Thesis | null | null | null | cs.LG cs.AI stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The adaptive processing of structured data is a long-standing research topic
in machine learning that investigates how to automatically learn a mapping from
a structured input to outputs of various nature. Recently, there has been an
increasing interest in the adaptive processing of graphs, which led to the
developme... | [
{
"created": "Thu, 24 Feb 2022 20:18:41 GMT",
"version": "v1"
}
] | 2022-02-28 | [
[
"Errica",
"Federico",
""
]
] | The adaptive processing of structured data is a long-standing research topic in machine learning that investigates how to automatically learn a mapping from a structured input to outputs of various nature. Recently, there has been an increasing interest in the adaptive processing of graphs, which led to the development... |
1901.01834 | Baogang Hu | Baogang Hu, Weiming Dong | "Ge Shu Zhi Zhi": Towards Deep Understanding about Worlds | 10 pages, in Chinese. 5 figures, 2 tables | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | "Ge She Zhi Zhi" is a novel saying in Chinese, stated as "To investigate
things from the underlying principle(s) and to acquire knowledge in the form of
mathematical representations". The saying is adopted and modified based on the
ideas from the Eastern and Western philosophers. This position paper discusses
the say... | [
{
"created": "Wed, 19 Dec 2018 05:18:20 GMT",
"version": "v1"
},
{
"created": "Sat, 16 Mar 2019 01:25:59 GMT",
"version": "v2"
},
{
"created": "Wed, 5 Jun 2019 01:32:04 GMT",
"version": "v3"
}
] | 2019-06-06 | [
[
"Hu",
"Baogang",
""
],
[
"Dong",
"Weiming",
""
]
] | "Ge She Zhi Zhi" is a novel saying in Chinese, stated as "To investigate things from the underlying principle(s) and to acquire knowledge in the form of mathematical representations". The saying is adopted and modified based on the ideas from the Eastern and Western philosophers. This position paper discusses the sayin... |
2304.13812 | Weiming Xiang | Wesley Cooke, Zihao Mo, Weiming Xiang | Guaranteed Quantization Error Computation for Neural Network Model
Compression | null | null | null | null | cs.LG cs.AI cs.NE | http://creativecommons.org/licenses/by/4.0/ | Neural network model compression techniques can address the computation issue
of deep neural networks on embedded devices in industrial systems. The
guaranteed output error computation problem for neural network compression with
quantization is addressed in this paper. A merged neural network is built from
a feedforw... | [
{
"created": "Wed, 26 Apr 2023 20:21:54 GMT",
"version": "v1"
}
] | 2023-04-28 | [
[
"Cooke",
"Wesley",
""
],
[
"Mo",
"Zihao",
""
],
[
"Xiang",
"Weiming",
""
]
] | Neural network model compression techniques can address the computation issue of deep neural networks on embedded devices in industrial systems. The guaranteed output error computation problem for neural network compression with quantization is addressed in this paper. A merged neural network is built from a feedforwar... |
1401.5341 | Laurent Michel D | Pascal Van Hentenryck and Laurent Michel | Domain Views for Constraint Programming | Workshop: TRICS13: Techniques foR Implementing Constraint
programming, September 2013, CP, Uppsala | null | null | null | cs.AI cs.PL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Views are a standard abstraction in constraint programming: They make it
possible to implement a single version of each constraint, while avoiding to
create new variables and constraints that would slow down propagation.
Traditional constraint-programming systems provide the concept of {\em variable
views} which impl... | [
{
"created": "Tue, 21 Jan 2014 15:22:29 GMT",
"version": "v1"
}
] | 2014-01-22 | [
[
"Van Hentenryck",
"Pascal",
""
],
[
"Michel",
"Laurent",
""
]
] | Views are a standard abstraction in constraint programming: They make it possible to implement a single version of each constraint, while avoiding to create new variables and constraints that would slow down propagation. Traditional constraint-programming systems provide the concept of {\em variable views} which implem... |
2301.13721 | Tao Yang | Tao Yang, Yuwang Wang, Yan Lv, Nanning Zheng | DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models | Accepted by NeurIPS 2023 | null | null | null | cs.CV | http://creativecommons.org/licenses/by-sa/4.0/ | Targeting to understand the underlying explainable factors behind
observations and modeling the conditional generation process on these factors,
we connect disentangled representation learning to Diffusion Probabilistic
Models (DPMs) to take advantage of the remarkable modeling ability of DPMs. We
propose a new task,... | [
{
"created": "Tue, 31 Jan 2023 15:58:32 GMT",
"version": "v1"
},
{
"created": "Wed, 1 Feb 2023 03:44:24 GMT",
"version": "v2"
},
{
"created": "Sat, 28 Oct 2023 11:21:47 GMT",
"version": "v3"
}
] | 2023-10-31 | [
[
"Yang",
"Tao",
""
],
[
"Wang",
"Yuwang",
""
],
[
"Lv",
"Yan",
""
],
[
"Zheng",
"Nanning",
""
]
] | Targeting to understand the underlying explainable factors behind observations and modeling the conditional generation process on these factors, we connect disentangled representation learning to Diffusion Probabilistic Models (DPMs) to take advantage of the remarkable modeling ability of DPMs. We propose a new task, d... |
1504.02300 | Stelios Timotheou | Stelios Timotheou, Ioannis Krikidis | Fairness for Non-Orthogonal Multiple Access in 5G Systems | 5 pages, 3 Figures, accepted in IEEE Signal Processing Letters | null | 10.1109/LSP.2015.2417119 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In non-orthogonal multiple access (NOMA) downlink, multiple data flows are
superimposed in the power domain and user decoding is based on successive
interference cancellation. NOMA's performance highly depends on the power split
among the data flows and the associated power allocation (PA) problem. In this
letter, we... | [
{
"created": "Thu, 9 Apr 2015 13:24:34 GMT",
"version": "v1"
}
] | 2015-04-10 | [
[
"Timotheou",
"Stelios",
""
],
[
"Krikidis",
"Ioannis",
""
]
] | In non-orthogonal multiple access (NOMA) downlink, multiple data flows are superimposed in the power domain and user decoding is based on successive interference cancellation. NOMA's performance highly depends on the power split among the data flows and the associated power allocation (PA) problem. In this letter, we s... |
2303.04845 | Abhishek Shetty | Alankrita Bhatt, Nika Haghtalab, Abhishek Shetty | Smoothed Analysis of Sequential Probability Assignment | null | null | null | null | cs.LG cs.DS cs.IT math.IT stat.ML | http://creativecommons.org/licenses/by/4.0/ | We initiate the study of smoothed analysis for the sequential probability
assignment problem with contexts. We study information-theoretically optimal
minmax rates as well as a framework for algorithmic reduction involving the
maximum likelihood estimator oracle. Our approach establishes a general-purpose
reduction f... | [
{
"created": "Wed, 8 Mar 2023 19:25:57 GMT",
"version": "v1"
}
] | 2023-03-10 | [
[
"Bhatt",
"Alankrita",
""
],
[
"Haghtalab",
"Nika",
""
],
[
"Shetty",
"Abhishek",
""
]
] | We initiate the study of smoothed analysis for the sequential probability assignment problem with contexts. We study information-theoretically optimal minmax rates as well as a framework for algorithmic reduction involving the maximum likelihood estimator oracle. Our approach establishes a general-purpose reduction fro... |
1612.03468 | Natasha Markuzon | Daniel Rajchwald, Natasha Markuzon | Bias reduction of peer influence effects with latent coordinates and
community membership | null | null | null | null | cs.SI physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The importance of peer influence on consumer actions plays a vital role in
marketing efforts. However, peer influence effects are often confounded with
latent homophily, which are unobserved commonalities that drive friendship.
Understanding causality has become one of the pressing issues of current
research. We pres... | [
{
"created": "Sun, 11 Dec 2016 20:14:31 GMT",
"version": "v1"
}
] | 2016-12-19 | [
[
"Rajchwald",
"Daniel",
""
],
[
"Markuzon",
"Natasha",
""
]
] | The importance of peer influence on consumer actions plays a vital role in marketing efforts. However, peer influence effects are often confounded with latent homophily, which are unobserved commonalities that drive friendship. Understanding causality has become one of the pressing issues of current research. We presen... |
2109.06148 | Steven Lang | Steven Lang, Fabrizio Ventola, Kristian Kersting | DAFNe: A One-Stage Anchor-Free Approach for Oriented Object Detection | Main paper: 8 pages, References: 2 pages, Appendix: 7 pages; Main
paper: 6 figures, Appendix: 6 figures | null | null | null | cs.CV cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present DAFNe, a Dense one-stage Anchor-Free deep Network for oriented
object detection. As a one-stage model, it performs bounding box predictions on
a dense grid over the input image, being architecturally simpler in design, as
well as easier to optimize than its two-stage counterparts. Furthermore, as an
anchor... | [
{
"created": "Mon, 13 Sep 2021 17:37:20 GMT",
"version": "v1"
},
{
"created": "Wed, 22 Sep 2021 12:32:50 GMT",
"version": "v2"
},
{
"created": "Fri, 11 Mar 2022 11:32:38 GMT",
"version": "v3"
},
{
"created": "Mon, 30 May 2022 13:36:56 GMT",
"version": "v4"
}
] | 2022-05-31 | [
[
"Lang",
"Steven",
""
],
[
"Ventola",
"Fabrizio",
""
],
[
"Kersting",
"Kristian",
""
]
] | We present DAFNe, a Dense one-stage Anchor-Free deep Network for oriented object detection. As a one-stage model, it performs bounding box predictions on a dense grid over the input image, being architecturally simpler in design, as well as easier to optimize than its two-stage counterparts. Furthermore, as an anchor-f... |
1506.06272 | Fei Sha | Junqi Jin, Kun Fu, Runpeng Cui, Fei Sha and Changshui Zhang | Aligning where to see and what to tell: image caption with region-based
attention and scene factorization | null | null | null | null | cs.CV cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent progress on automatic generation of image captions has shown that it
is possible to describe the most salient information conveyed by images with
accurate and meaningful sentences. In this paper, we propose an image caption
system that exploits the parallel structures between images and sentences. In
our model... | [
{
"created": "Sat, 20 Jun 2015 17:25:38 GMT",
"version": "v1"
}
] | 2015-06-23 | [
[
"Jin",
"Junqi",
""
],
[
"Fu",
"Kun",
""
],
[
"Cui",
"Runpeng",
""
],
[
"Sha",
"Fei",
""
],
[
"Zhang",
"Changshui",
""
]
] | Recent progress on automatic generation of image captions has shown that it is possible to describe the most salient information conveyed by images with accurate and meaningful sentences. In this paper, we propose an image caption system that exploits the parallel structures between images and sentences. In our model, ... |
1908.07490 | Hao Tan | Hao Tan, Mohit Bansal | LXMERT: Learning Cross-Modality Encoder Representations from
Transformers | EMNLP 2019 (14 pages; with new attention visualizations) | null | null | null | cs.CL cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Vision-and-language reasoning requires an understanding of visual concepts,
language semantics, and, most importantly, the alignment and relationships
between these two modalities. We thus propose the LXMERT (Learning
Cross-Modality Encoder Representations from Transformers) framework to learn
these vision-and-langua... | [
{
"created": "Tue, 20 Aug 2019 17:05:18 GMT",
"version": "v1"
},
{
"created": "Thu, 22 Aug 2019 17:54:29 GMT",
"version": "v2"
},
{
"created": "Tue, 3 Dec 2019 19:30:19 GMT",
"version": "v3"
}
] | 2019-12-05 | [
[
"Tan",
"Hao",
""
],
[
"Bansal",
"Mohit",
""
]
] | Vision-and-language reasoning requires an understanding of visual concepts, language semantics, and, most importantly, the alignment and relationships between these two modalities. We thus propose the LXMERT (Learning Cross-Modality Encoder Representations from Transformers) framework to learn these vision-and-language... |
2307.09602 | Adam Perrett | Adam Perrett, Danny Wood, Gavin Brown | A max-affine spline approximation of neural networks using the Legendre
transform of a convex-concave representation | null | null | null | null | cs.LG cs.AI | http://creativecommons.org/publicdomain/zero/1.0/ | This work presents a novel algorithm for transforming a neural network into a
spline representation. Unlike previous work that required convex and
piecewise-affine network operators to create a max-affine spline alternate
form, this work relaxes this constraint. The only constraint is that the
function be bounded and... | [
{
"created": "Sun, 16 Jul 2023 17:01:20 GMT",
"version": "v1"
}
] | 2023-07-20 | [
[
"Perrett",
"Adam",
""
],
[
"Wood",
"Danny",
""
],
[
"Brown",
"Gavin",
""
]
] | This work presents a novel algorithm for transforming a neural network into a spline representation. Unlike previous work that required convex and piecewise-affine network operators to create a max-affine spline alternate form, this work relaxes this constraint. The only constraint is that the function be bounded and p... |
1302.6801 | Denise L. Draper | Denise L. Draper, Steve Hanks, Daniel Weld | A Probabilistic Model of Action for Least-Commitment Planning with
Information Gather | Appears in Proceedings of the Tenth Conference on Uncertainty in
Artificial Intelligence (UAI1994) | null | null | UAI-P-1994-PG-178-186 | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | AI planning algorithms have addressed the problem of generating sequences of
operators that achieve some input goal, usually assuming that the planning
agent has perfect control over and information about the world. Relaxing these
assumptions requires an extension to the action representation that allows
reasoning bo... | [
{
"created": "Wed, 27 Feb 2013 14:15:26 GMT",
"version": "v1"
}
] | 2013-02-28 | [
[
"Draper",
"Denise L.",
""
],
[
"Hanks",
"Steve",
""
],
[
"Weld",
"Daniel",
""
]
] | AI planning algorithms have addressed the problem of generating sequences of operators that achieve some input goal, usually assuming that the planning agent has perfect control over and information about the world. Relaxing these assumptions requires an extension to the action representation that allows reasoning both... |
2310.07100 | Yixin Liu | Yixin Liu, Chenrui Fan, Xun Chen, Pan Zhou and Lichao Sun | GraphCloak: Safeguarding Task-specific Knowledge within Graph-structured
Data from Unauthorized Exploitation | null | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | As Graph Neural Networks (GNNs) become increasingly prevalent in a variety of
fields, from social network analysis to protein-protein interaction studies,
growing concerns have emerged regarding the unauthorized utilization of
personal data. Recent studies have shown that imperceptible poisoning attacks
are an effect... | [
{
"created": "Wed, 11 Oct 2023 00:50:55 GMT",
"version": "v1"
}
] | 2023-10-12 | [
[
"Liu",
"Yixin",
""
],
[
"Fan",
"Chenrui",
""
],
[
"Chen",
"Xun",
""
],
[
"Zhou",
"Pan",
""
],
[
"Sun",
"Lichao",
""
]
] | As Graph Neural Networks (GNNs) become increasingly prevalent in a variety of fields, from social network analysis to protein-protein interaction studies, growing concerns have emerged regarding the unauthorized utilization of personal data. Recent studies have shown that imperceptible poisoning attacks are an effectiv... |
2101.06374 | David Paz | David Paz, Hengyuan Zhang, and Henrik I. Christensen | TridentNet: A Conditional Generative Model for Dynamic Trajectory
Generation | 13 pages, 6 figures, IAS-16 | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In recent years, various state of the art autonomous vehicle systems and
architectures have been introduced. These methods include planners that depend
on high-definition (HD) maps and models that learn an autonomous agent's
controls in an end-to-end fashion. While end-to-end models are geared towards
solving the sca... | [
{
"created": "Sat, 16 Jan 2021 05:31:00 GMT",
"version": "v1"
},
{
"created": "Mon, 22 Feb 2021 01:47:07 GMT",
"version": "v2"
},
{
"created": "Sat, 10 Apr 2021 03:09:30 GMT",
"version": "v3"
},
{
"created": "Sat, 26 Mar 2022 08:16:27 GMT",
"version": "v4"
}
] | 2022-03-29 | [
[
"Paz",
"David",
""
],
[
"Zhang",
"Hengyuan",
""
],
[
"Christensen",
"Henrik I.",
""
]
] | In recent years, various state of the art autonomous vehicle systems and architectures have been introduced. These methods include planners that depend on high-definition (HD) maps and models that learn an autonomous agent's controls in an end-to-end fashion. While end-to-end models are geared towards solving the scala... |
2009.04075 | Markos Georgopoulos | Markos Georgopoulos, Grigorios Chrysos, Maja Pantic, Yannis Panagakis | Multilinear Latent Conditioning for Generating Unseen Attribute
Combinations | published at International Conference on Machine Learning 2020 | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep generative models rely on their inductive bias to facilitate
generalization, especially for problems with high dimensional data, like
images. However, empirical studies have shown that variational autoencoders
(VAE) and generative adversarial networks (GAN) lack the generalization ability
that occurs naturally i... | [
{
"created": "Wed, 9 Sep 2020 02:23:13 GMT",
"version": "v1"
}
] | 2020-09-10 | [
[
"Georgopoulos",
"Markos",
""
],
[
"Chrysos",
"Grigorios",
""
],
[
"Pantic",
"Maja",
""
],
[
"Panagakis",
"Yannis",
""
]
] | Deep generative models rely on their inductive bias to facilitate generalization, especially for problems with high dimensional data, like images. However, empirical studies have shown that variational autoencoders (VAE) and generative adversarial networks (GAN) lack the generalization ability that occurs naturally in ... |
1909.13772 | Martin Bauer | Martin Bauer, Sebastian Eibl, Christian Godenschwager, Nils Kohl,
Michael Kuron, Christoph Rettinger, Florian Schornbaum, Christoph
Schwarzmeier, Dominik Th\"onnes, Harald K\"ostler, Ulrich R\"ude | waLBerla: A block-structured high-performance framework for multiphysics
simulations | null | null | 10.1016/j.camwa.2020.01.007 | null | cs.DC cs.CE physics.comp-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Programming current supercomputers efficiently is a challenging task.
Multiple levels of parallelism on the core, on the compute node, and between
nodes need to be exploited to make full use of the system. Heterogeneous
hardware architectures with accelerators further complicate the development
process. waLBerla addr... | [
{
"created": "Mon, 30 Sep 2019 15:13:22 GMT",
"version": "v1"
}
] | 2020-02-26 | [
[
"Bauer",
"Martin",
""
],
[
"Eibl",
"Sebastian",
""
],
[
"Godenschwager",
"Christian",
""
],
[
"Kohl",
"Nils",
""
],
[
"Kuron",
"Michael",
""
],
[
"Rettinger",
"Christoph",
""
],
[
"Schornbaum",
"Florian",
"... | Programming current supercomputers efficiently is a challenging task. Multiple levels of parallelism on the core, on the compute node, and between nodes need to be exploited to make full use of the system. Heterogeneous hardware architectures with accelerators further complicate the development process. waLBerla addres... |
1403.4362 | Abderrahim Mohammed El Amine | Mohammed El Amine Abderrahim | Concept Based vs. Pseudo Relevance Feedback Performance Evaluation for
Information Retrieval System | arXiv admin note: substantial text overlap with arXiv:1306.3955 by
other authors | International Journal of Computational Linguistics Research, ISSN:
0976-416X, Volume 4, Issue 4, December, 2013, Pages 149-158 | null | null | cs.IR cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This article evaluates the performance of two techniques for query
reformulation in a system for information retrieval, namely, the concept based
and the pseudo relevance feedback reformulation. The experiments performed on a
corpus of Arabic text have allowed us to compare the contribution of these two
reformulation... | [
{
"created": "Tue, 18 Mar 2014 07:18:39 GMT",
"version": "v1"
}
] | 2014-03-19 | [
[
"Abderrahim",
"Mohammed El Amine",
""
]
] | This article evaluates the performance of two techniques for query reformulation in a system for information retrieval, namely, the concept based and the pseudo relevance feedback reformulation. The experiments performed on a corpus of Arabic text have allowed us to compare the contribution of these two reformulation t... |
2307.02009 | Tanvina Patel | Tanvina Patel and Odette Scharenborg | Using Data Augmentations and VTLN to Reduce Bias in Dutch End-to-End
Speech Recognition Systems | 5 Pages, 2 Figures, 5 Tables | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Speech technology has improved greatly for norm speakers, i.e., adult native
speakers of a language without speech impediments or strong accents. However,
non-norm or diverse speaker groups show a distinct performance gap with norm
speakers, which we refer to as bias. In this work, we aim to reduce bias
against diffe... | [
{
"created": "Wed, 5 Jul 2023 03:39:40 GMT",
"version": "v1"
}
] | 2023-07-06 | [
[
"Patel",
"Tanvina",
""
],
[
"Scharenborg",
"Odette",
""
]
] | Speech technology has improved greatly for norm speakers, i.e., adult native speakers of a language without speech impediments or strong accents. However, non-norm or diverse speaker groups show a distinct performance gap with norm speakers, which we refer to as bias. In this work, we aim to reduce bias against differe... |
2108.13858 | Shenda Hong | Yen-Hsiu Chou, Shenda Hong, Chenxi Sun, Derun Cai, Moxian Song,
Hongyan Li | GRP-FED: Addressing Client Imbalance in Federated Learning via
Global-Regularized Personalization | (FL-ICML'21) International Workshop on Federated Learning for User
Privacy and Data Confidentiality in Conjunction with ICML 2021 | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Since data is presented long-tailed in reality, it is challenging for
Federated Learning (FL) to train across decentralized clients as practical
applications. We present Global-Regularized Personalization (GRP-FED) to tackle
the data imbalanced issue by considering a single global model and multiple
local models for ... | [
{
"created": "Tue, 31 Aug 2021 14:09:04 GMT",
"version": "v1"
}
] | 2021-09-01 | [
[
"Chou",
"Yen-Hsiu",
""
],
[
"Hong",
"Shenda",
""
],
[
"Sun",
"Chenxi",
""
],
[
"Cai",
"Derun",
""
],
[
"Song",
"Moxian",
""
],
[
"Li",
"Hongyan",
""
]
] | Since data is presented long-tailed in reality, it is challenging for Federated Learning (FL) to train across decentralized clients as practical applications. We present Global-Regularized Personalization (GRP-FED) to tackle the data imbalanced issue by considering a single global model and multiple local models for ea... |
2403.18554 | Jiayi Zhu | Jiayi Zhu, Qing Guo, Felix Juefei-Xu, Yihao Huang, Yang Liu, Geguang
Pu | CosalPure: Learning Concept from Group Images for Robust Co-Saliency
Detection | This paper is accepted by CVPR 2024 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Co-salient object detection (CoSOD) aims to identify the common and salient
(usually in the foreground) regions across a given group of images. Although
achieving significant progress, state-of-the-art CoSODs could be easily
affected by some adversarial perturbations, leading to substantial accuracy
reduction. The ad... | [
{
"created": "Wed, 27 Mar 2024 13:33:14 GMT",
"version": "v1"
},
{
"created": "Fri, 12 Apr 2024 02:27:09 GMT",
"version": "v2"
}
] | 2024-04-15 | [
[
"Zhu",
"Jiayi",
""
],
[
"Guo",
"Qing",
""
],
[
"Juefei-Xu",
"Felix",
""
],
[
"Huang",
"Yihao",
""
],
[
"Liu",
"Yang",
""
],
[
"Pu",
"Geguang",
""
]
] | Co-salient object detection (CoSOD) aims to identify the common and salient (usually in the foreground) regions across a given group of images. Although achieving significant progress, state-of-the-art CoSODs could be easily affected by some adversarial perturbations, leading to substantial accuracy reduction. The adve... |
2401.05822 | Andrew Langworthy | Michael Free, Andrew Langworthy, Mary Dimitropoulaki, Simon Thompson | Towards Goal-Oriented Agents for Evolving Problems Observed via
Conversation | 15 pages, 7 figures | Artificial Intelligence XL. SGAI 2023. Lecture Notes in Computer
Science, vol 14381. 142-155 | 10.1007/978-3-031-47994-6_11 | null | cs.AI cs.CL | http://creativecommons.org/licenses/by/4.0/ | The objective of this work is to train a chatbot capable of solving evolving
problems through conversing with a user about a problem the chatbot cannot
directly observe. The system consists of a virtual problem (in this case a
simple game), a simulated user capable of answering natural language questions
that can obs... | [
{
"created": "Thu, 11 Jan 2024 10:38:43 GMT",
"version": "v1"
}
] | 2024-01-12 | [
[
"Free",
"Michael",
""
],
[
"Langworthy",
"Andrew",
""
],
[
"Dimitropoulaki",
"Mary",
""
],
[
"Thompson",
"Simon",
""
]
] | The objective of this work is to train a chatbot capable of solving evolving problems through conversing with a user about a problem the chatbot cannot directly observe. The system consists of a virtual problem (in this case a simple game), a simulated user capable of answering natural language questions that can obser... |
1909.07821 | Sheikh Ariful Islam | Love Kumar Sah, Sheikh Ariful Islam, and Srinivas Katkoori | Variable Record Table: A Run-time Solution for Mitigating Buffer
Overflow Attack | Accepted for publication in MWSCAS2019 | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a novel approach to mitigate buffer overflow attack using Variable
Record Table (VRT). Dedicated memory space is used to automatically record base
and bound information of variables extracted during runtime. We instrument
frame pointer and function(s) related registers to decode variable memory space
in st... | [
{
"created": "Tue, 17 Sep 2019 14:01:01 GMT",
"version": "v1"
}
] | 2019-09-18 | [
[
"Sah",
"Love Kumar",
""
],
[
"Islam",
"Sheikh Ariful",
""
],
[
"Katkoori",
"Srinivas",
""
]
] | We present a novel approach to mitigate buffer overflow attack using Variable Record Table (VRT). Dedicated memory space is used to automatically record base and bound information of variables extracted during runtime. We instrument frame pointer and function(s) related registers to decode variable memory space in stac... |
2305.02186 | Poonam Yadav Dr | Angelo Feraudo and Diana Andreea Popescu and Poonam Yadav and Richard
Mortier and Paolo Bellavista | Mitigating IoT Botnet DDos Attacks through MUD and eBPF based Traffic
Filtering | 12 pages, 10 figures, in review currently | null | null | null | cs.NI cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | As the prevalence of Internet-of-Things (IoT) devices becomes more and more
dominant, so too do the associated management and security challenges. One such
challenge is the exploitation of vulnerable devices for recruitment into
botnets, which can be used to carry out Distributed Denial-of-Service (DDoS)
attacks. The... | [
{
"created": "Wed, 3 May 2023 15:30:14 GMT",
"version": "v1"
}
] | 2023-05-04 | [
[
"Feraudo",
"Angelo",
""
],
[
"Popescu",
"Diana Andreea",
""
],
[
"Yadav",
"Poonam",
""
],
[
"Mortier",
"Richard",
""
],
[
"Bellavista",
"Paolo",
""
]
] | As the prevalence of Internet-of-Things (IoT) devices becomes more and more dominant, so too do the associated management and security challenges. One such challenge is the exploitation of vulnerable devices for recruitment into botnets, which can be used to carry out Distributed Denial-of-Service (DDoS) attacks. The r... |
2202.13511 | Bikash Chandra | Riccardo Mancini and Srinivas Karthik and Bikash Chandra and Vasilis
Mageirakos and Anastasia Ailamaki | Efficient Massively Parallel Join Optimization for Large Queries | null | null | null | null | cs.DB | http://creativecommons.org/licenses/by/4.0/ | Modern data analytical workloads often need to run queries over a large
number of tables. An optimal query plan for such queries is crucial for being
able to run these queries within acceptable time bounds. However, with queries
involving many tables, finding the optimal join order becomes a bottleneck in
query optim... | [
{
"created": "Mon, 28 Feb 2022 02:25:42 GMT",
"version": "v1"
},
{
"created": "Tue, 1 Mar 2022 15:05:08 GMT",
"version": "v2"
}
] | 2022-03-02 | [
[
"Mancini",
"Riccardo",
""
],
[
"Karthik",
"Srinivas",
""
],
[
"Chandra",
"Bikash",
""
],
[
"Mageirakos",
"Vasilis",
""
],
[
"Ailamaki",
"Anastasia",
""
]
] | Modern data analytical workloads often need to run queries over a large number of tables. An optimal query plan for such queries is crucial for being able to run these queries within acceptable time bounds. However, with queries involving many tables, finding the optimal join order becomes a bottleneck in query optimiz... |
2201.12153 | Zhe Sun | Hao Jia, Zhe Sun, Feng Duan, Yu Zhang, Cesar F. Caiafa, Jordi
Sol\'e-Casals | Improving Pre-movement Pattern Detection with Filter Bank Selection | null | Journal of Neural Engineering, 2022 | 10.1088/1741-2552/ac9e75 | null | cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Pre-movement decoding plays an important role in movement detection and is
able to detect movement onset with low-frequency electroencephalogram (EEG)
signals before the limb moves. In related studies, pre-movement decoding with
standard task-related component analysis (STRCA) has been demonstrated to be
efficient fo... | [
{
"created": "Fri, 28 Jan 2022 14:37:54 GMT",
"version": "v1"
}
] | 2022-11-07 | [
[
"Jia",
"Hao",
""
],
[
"Sun",
"Zhe",
""
],
[
"Duan",
"Feng",
""
],
[
"Zhang",
"Yu",
""
],
[
"Caiafa",
"Cesar F.",
""
],
[
"Solé-Casals",
"Jordi",
""
]
] | Pre-movement decoding plays an important role in movement detection and is able to detect movement onset with low-frequency electroencephalogram (EEG) signals before the limb moves. In related studies, pre-movement decoding with standard task-related component analysis (STRCA) has been demonstrated to be efficient for ... |
2401.14527 | Ivan Abellan | Iv\'an Abell\'an \'Alvarez, Vincent Gramlich and Johannes Sedlmeir | Unsealing the secrets of blockchain consensus: A systematic comparison
of the formal security of proof-of-work and proof-of-stake | To appear in the Decentralized Applications with Blockchain, DLT, and
Crypto-Currencies track at ACM/SIGAPP SAC 2024 | null | null | null | cs.CR cs.DC | http://creativecommons.org/licenses/by/4.0/ | With the increasing adoption of decentralized information systems based on a
variety of permissionless blockchain networks, the choice of consensus
mechanism is at the core of many controversial discussions. Ethereum's recent
transition from (PoW) to proof-of-stake (PoS)-based consensus has further
fueled the debate ... | [
{
"created": "Thu, 25 Jan 2024 21:40:22 GMT",
"version": "v1"
},
{
"created": "Wed, 31 Jan 2024 09:24:07 GMT",
"version": "v2"
}
] | 2024-02-01 | [
[
"Álvarez",
"Iván Abellán",
""
],
[
"Gramlich",
"Vincent",
""
],
[
"Sedlmeir",
"Johannes",
""
]
] | With the increasing adoption of decentralized information systems based on a variety of permissionless blockchain networks, the choice of consensus mechanism is at the core of many controversial discussions. Ethereum's recent transition from (PoW) to proof-of-stake (PoS)-based consensus has further fueled the debate on... |
2111.11017 | Nan Liu | Feng Xie, Jun Zhou, Jin Wee Lee, Mingrui Tan, Siqi Li, Logasan S/O
Rajnthern, Marcel Lucas Chee, Bibhas Chakraborty, An-Kwok Ian Wong, Alon
Dagan, Marcus Eng Hock Ong, Fei Gao, Nan Liu | Benchmarking emergency department triage prediction models with machine
learning and large public electronic health records | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | The demand for emergency department (ED) services is increasing across the
globe, particularly during the current COVID-19 pandemic. Clinical triage and
risk assessment have become increasingly challenging due to the shortage of
medical resources and the strain on hospital infrastructure caused by the
pandemic. As a ... | [
{
"created": "Mon, 22 Nov 2021 06:51:11 GMT",
"version": "v1"
},
{
"created": "Sun, 20 Mar 2022 07:12:13 GMT",
"version": "v2"
}
] | 2022-03-22 | [
[
"Xie",
"Feng",
""
],
[
"Zhou",
"Jun",
""
],
[
"Lee",
"Jin Wee",
""
],
[
"Tan",
"Mingrui",
""
],
[
"Li",
"Siqi",
""
],
[
"Rajnthern",
"Logasan S/O",
""
],
[
"Chee",
"Marcel Lucas",
""
],
[
"Chakrabor... | The demand for emergency department (ED) services is increasing across the globe, particularly during the current COVID-19 pandemic. Clinical triage and risk assessment have become increasingly challenging due to the shortage of medical resources and the strain on hospital infrastructure caused by the pandemic. As a re... |
2001.07145 | Michael Crosscombe | Jonathan Lawry, Michael Crosscombe, David Harvey | Distributed Possibilistic Learning in Multi-Agent Systems | 3rd International Symposium on Swarm Behavior and Bio-Inspired
Robotics (SWARM 2019) | null | null | null | cs.MA | http://creativecommons.org/licenses/by/4.0/ | Possibility theory is proposed as an uncertainty representation framework for
distributed learning in multi-agent systems and robot swarms. In particular, we
investigate its application to the best-of-n problem where the aim is for a
population of agents to identify the highest quality out of n options through
local ... | [
{
"created": "Mon, 20 Jan 2020 15:31:05 GMT",
"version": "v1"
}
] | 2020-01-22 | [
[
"Lawry",
"Jonathan",
""
],
[
"Crosscombe",
"Michael",
""
],
[
"Harvey",
"David",
""
]
] | Possibility theory is proposed as an uncertainty representation framework for distributed learning in multi-agent systems and robot swarms. In particular, we investigate its application to the best-of-n problem where the aim is for a population of agents to identify the highest quality out of n options through local in... |
2209.00838 | Yasmeen Abdullah Ali Anjeer Alshehhi | Yasmeen Anjeer Alshehhi, Mohamed Abdelrazek, Alessio Bonti | Needs and Challenges of Personal Data Visualisations in Mobile Health
Apps: User Survey | 16 pages | null | null | null | cs.HC | http://creativecommons.org/licenses/by/4.0/ | Personal data visualisations are becoming a critical contributor toward the
successful adoption of mobile health (m-health) apps. Thus, understanding user
needs and challenges when using mobile personal data visualisation is essential
to ensuring the adoption of these apps. This paper presents the results of a
user s... | [
{
"created": "Fri, 2 Sep 2022 06:28:01 GMT",
"version": "v1"
}
] | 2022-09-05 | [
[
"Alshehhi",
"Yasmeen Anjeer",
""
],
[
"Abdelrazek",
"Mohamed",
""
],
[
"Bonti",
"Alessio",
""
]
] | Personal data visualisations are becoming a critical contributor toward the successful adoption of mobile health (m-health) apps. Thus, understanding user needs and challenges when using mobile personal data visualisation is essential to ensuring the adoption of these apps. This paper presents the results of a user sur... |
1808.03724 | Alessandro De Marco | Alessandro De Marco, Valentin Iancu, Ira Asinofsky | COBOL to Java and Newspapers Still Get Delivered | 4 pages, Accepted to be Published in: Proceedings of the 2018 IEEE
International Conference on Software Maintenance and Evolution (ICSME),
September 23-29, 2018, Madrid, Spain | null | 10.1109/ICSME.2018.00055 | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper is an experience report on migrating an American newspaper
company's business-critical IBM mainframe application to Linux servers by
automatically translating the application's source code from COBOL to Java and
converting the mainframe data store from VSAM KSDS files to an Oracle
relational database. The ... | [
{
"created": "Fri, 10 Aug 2018 22:41:56 GMT",
"version": "v1"
}
] | 2018-10-30 | [
[
"De Marco",
"Alessandro",
""
],
[
"Iancu",
"Valentin",
""
],
[
"Asinofsky",
"Ira",
""
]
] | This paper is an experience report on migrating an American newspaper company's business-critical IBM mainframe application to Linux servers by automatically translating the application's source code from COBOL to Java and converting the mainframe data store from VSAM KSDS files to an Oracle relational database. The ma... |
2212.11277 | Kamil Akesbi | Kamil Akesbi | Audio Denoising for Robust Audio Fingerprinting | 63 pages, master thesis | null | null | null | cs.SD cs.IR cs.LG | http://creativecommons.org/licenses/by/4.0/ | Music discovery services let users identify songs from short mobile
recordings. These solutions are often based on Audio Fingerprinting, and rely
more specifically on the extraction of spectral peaks in order to be robust to
a number of distortions. Few works have been done to study the robustness of
these algorithms... | [
{
"created": "Wed, 21 Dec 2022 09:46:12 GMT",
"version": "v1"
}
] | 2022-12-23 | [
[
"Akesbi",
"Kamil",
""
]
] | Music discovery services let users identify songs from short mobile recordings. These solutions are often based on Audio Fingerprinting, and rely more specifically on the extraction of spectral peaks in order to be robust to a number of distortions. Few works have been done to study the robustness of these algorithms t... |
2406.07680 | Pia Bideau | Duc Pham, Matthew Hansen, F\'elicie Dhellemmes, Jens Krause, Pia
Bideau | Watching Swarm Dynamics from Above: A Framework for Advanced Object
Tracking in Drone Videos | CVPRW: Workshop paper appearing in CV4Animals | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Easily accessible sensors, like drones with diverse onboard sensors, have
greatly expanded studying animal behavior in natural environments. Yet,
analyzing vast, unlabeled video data, often spanning hours, remains a challenge
for machine learning, especially in computer vision. Existing approaches often
analyze only ... | [
{
"created": "Tue, 11 Jun 2024 19:57:00 GMT",
"version": "v1"
}
] | 2024-07-08 | [
[
"Pham",
"Duc",
""
],
[
"Hansen",
"Matthew",
""
],
[
"Dhellemmes",
"Félicie",
""
],
[
"Krause",
"Jens",
""
],
[
"Bideau",
"Pia",
""
]
] | Easily accessible sensors, like drones with diverse onboard sensors, have greatly expanded studying animal behavior in natural environments. Yet, analyzing vast, unlabeled video data, often spanning hours, remains a challenge for machine learning, especially in computer vision. Existing approaches often analyze only a ... |
2208.02922 | Yi-Wei Chen | Yi-Wei Chen, Chi Wang, Amin Saied, Rui Zhuang | ACE: Adaptive Constraint-aware Early Stopping in Hyperparameter
Optimization | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deploying machine learning models requires high model quality and needs to
comply with application constraints. That motivates hyperparameter optimization
(HPO) to tune model configurations under deployment constraints. The
constraints often require additional computation cost to evaluate, and training
ineligible con... | [
{
"created": "Thu, 4 Aug 2022 22:56:16 GMT",
"version": "v1"
}
] | 2022-08-08 | [
[
"Chen",
"Yi-Wei",
""
],
[
"Wang",
"Chi",
""
],
[
"Saied",
"Amin",
""
],
[
"Zhuang",
"Rui",
""
]
] | Deploying machine learning models requires high model quality and needs to comply with application constraints. That motivates hyperparameter optimization (HPO) to tune model configurations under deployment constraints. The constraints often require additional computation cost to evaluate, and training ineligible confi... |
2408.06084 | Ulf Bodin | Emanuel Palm, Ulf Bodin, Olov Schel\'en | A Practical System Architecture for Contract Automation: Design and Uses | 11 pages, 9 figures | null | null | null | cs.SE | http://creativecommons.org/licenses/by/4.0/ | While the blockchain-based smart contract has become a hot topic of research
over the last decade, not the least in the context of Industry 4.0, it now has
well-known legal and technical shortcomings that currently prohibit its
real-world application. These shortcomings come from (1) that a smart contract
is a comput... | [
{
"created": "Mon, 12 Aug 2024 12:00:09 GMT",
"version": "v1"
}
] | 2024-08-13 | [
[
"Palm",
"Emanuel",
""
],
[
"Bodin",
"Ulf",
""
],
[
"Schelén",
"Olov",
""
]
] | While the blockchain-based smart contract has become a hot topic of research over the last decade, not the least in the context of Industry 4.0, it now has well-known legal and technical shortcomings that currently prohibit its real-world application. These shortcomings come from (1) that a smart contract is a computer... |
2104.03420 | Kaiqi Zhang | Kaiqi Zhang, Cole Hawkins, Xiyuan Zhang, Cong Hao, Zheng Zhang | On-FPGA Training with Ultra Memory Reduction: A Low-Precision Tensor
Method | null | null | null | null | cs.AR | http://creativecommons.org/licenses/by/4.0/ | Various hardware accelerators have been developed for energy-efficient and
real-time inference of neural networks on edge devices. However, most training
is done on high-performance GPUs or servers, and the huge memory and computing
costs prevent training neural networks on edge devices. This paper proposes a
novel t... | [
{
"created": "Wed, 7 Apr 2021 22:27:39 GMT",
"version": "v1"
},
{
"created": "Mon, 19 Apr 2021 21:58:12 GMT",
"version": "v2"
}
] | 2021-04-21 | [
[
"Zhang",
"Kaiqi",
""
],
[
"Hawkins",
"Cole",
""
],
[
"Zhang",
"Xiyuan",
""
],
[
"Hao",
"Cong",
""
],
[
"Zhang",
"Zheng",
""
]
] | Various hardware accelerators have been developed for energy-efficient and real-time inference of neural networks on edge devices. However, most training is done on high-performance GPUs or servers, and the huge memory and computing costs prevent training neural networks on edge devices. This paper proposes a novel ten... |
2310.01377 | Ganqu Cui | Ganqu Cui, Lifan Yuan, Ning Ding, Guanming Yao, Bingxiang He, Wei Zhu,
Yuan Ni, Guotong Xie, Ruobing Xie, Yankai Lin, Zhiyuan Liu, Maosong Sun | UltraFeedback: Boosting Language Models with Scaled AI Feedback | ICML 2024 camera ready | null | null | null | cs.CL cs.AI cs.LG | http://creativecommons.org/licenses/by-sa/4.0/ | Learning from human feedback has become a pivot technique in aligning large
language models (LLMs) with human preferences. However, acquiring vast and
premium human feedback is bottlenecked by time, labor, and human capability,
resulting in small sizes or limited topics of current datasets. This further
hinders feedb... | [
{
"created": "Mon, 2 Oct 2023 17:40:01 GMT",
"version": "v1"
},
{
"created": "Tue, 16 Jul 2024 03:24:39 GMT",
"version": "v2"
}
] | 2024-07-17 | [
[
"Cui",
"Ganqu",
""
],
[
"Yuan",
"Lifan",
""
],
[
"Ding",
"Ning",
""
],
[
"Yao",
"Guanming",
""
],
[
"He",
"Bingxiang",
""
],
[
"Zhu",
"Wei",
""
],
[
"Ni",
"Yuan",
""
],
[
"Xie",
"Guotong",
"... | Learning from human feedback has become a pivot technique in aligning large language models (LLMs) with human preferences. However, acquiring vast and premium human feedback is bottlenecked by time, labor, and human capability, resulting in small sizes or limited topics of current datasets. This further hinders feedbac... |
2403.13863 | Yizhu Wen | Yizhu Wen, Kai Yi, Jing Ke, Yiqing Shen | DiffImpute: Tabular Data Imputation With Denoising Diffusion
Probabilistic Model | 26 pages, 6 figures | null | null | null | cs.LG cs.AI cs.DB | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Tabular data plays a crucial role in various domains but often suffers from
missing values, thereby curtailing its potential utility. Traditional
imputation techniques frequently yield suboptimal results and impose
substantial computational burdens, leading to inaccuracies in subsequent
modeling tasks. To address the... | [
{
"created": "Wed, 20 Mar 2024 08:45:31 GMT",
"version": "v1"
}
] | 2024-03-22 | [
[
"Wen",
"Yizhu",
""
],
[
"Yi",
"Kai",
""
],
[
"Ke",
"Jing",
""
],
[
"Shen",
"Yiqing",
""
]
] | Tabular data plays a crucial role in various domains but often suffers from missing values, thereby curtailing its potential utility. Traditional imputation techniques frequently yield suboptimal results and impose substantial computational burdens, leading to inaccuracies in subsequent modeling tasks. To address these... |
0907.5219 | Shahar Dobzinski | Shahar Dobzinski | A Note on the Power of Truthful Approximation Mechanisms | null | null | null | null | cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the power of polynomial-time truthful mechanisms comparing to
polynomial time (non-truthful) algorithms. We show that there is a setting in
which deterministic polynomial-time truthful mechanisms cannot guarantee a
bounded approximation ratio, but a non-truthful FPTAS exists. We also show that
in the same se... | [
{
"created": "Thu, 30 Jul 2009 09:18:31 GMT",
"version": "v1"
},
{
"created": "Mon, 24 Aug 2009 15:41:55 GMT",
"version": "v2"
}
] | 2009-08-24 | [
[
"Dobzinski",
"Shahar",
""
]
] | We study the power of polynomial-time truthful mechanisms comparing to polynomial time (non-truthful) algorithms. We show that there is a setting in which deterministic polynomial-time truthful mechanisms cannot guarantee a bounded approximation ratio, but a non-truthful FPTAS exists. We also show that in the same sett... |
2311.04059 | Deyou Zhang | Deyou Zhang, Ming Xiao, and Mikael Skoglund | Over-the-Air Computation Empowered Federated Learning: A Joint
Uplink-Downlink Design | This paper has been accepted by the IEEE 98th Vehicular Technology
Conference (VTC2023-Fall), Hong Kong, China, 2023 | null | null | null | cs.IT math.IT | http://creativecommons.org/licenses/by-nc-nd/4.0/ | In this paper, we investigate the communication designs of over-the-air
computation (AirComp) empowered federated learning (FL) systems considering
uplink model aggregation and downlink model dissemination jointly. We first
derive an upper bound on the expected difference between the training loss and
the optimal los... | [
{
"created": "Tue, 7 Nov 2023 15:14:35 GMT",
"version": "v1"
}
] | 2023-11-08 | [
[
"Zhang",
"Deyou",
""
],
[
"Xiao",
"Ming",
""
],
[
"Skoglund",
"Mikael",
""
]
] | In this paper, we investigate the communication designs of over-the-air computation (AirComp) empowered federated learning (FL) systems considering uplink model aggregation and downlink model dissemination jointly. We first derive an upper bound on the expected difference between the training loss and the optimal loss,... |
1812.05177 | Gukyeong Kwon | Mohammed A. Aabed, Gukyeong Kwon, and Ghassan AlRegib | Power of Tempospatially Unified Spectral Density for Perceptual Video
Quality Assessment | 6 pages, 4 figures, 3 tables | M. A. Aabed, G. Kwon, and G. AlRegib, "Power of Tempospatially
Unified Spectral Density for Perceptual Video Quality Assessment," 2017 IEEE
International Conference on Multimedia and Expo (ICME), Hong Kong, 2017, pp.
1476-1481 | 10.1109/ICME.2017.8019333 | null | cs.CV eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a perceptual video quality assessment (PVQA) metric for distorted
videos by analyzing the power spectral density (PSD) of a group of pictures.
This is an estimation approach that relies on the changes in video dynamic
calculated in the frequency domain and are primarily caused by distortion. We
obtain a fe... | [
{
"created": "Wed, 12 Dec 2018 22:22:21 GMT",
"version": "v1"
}
] | 2018-12-14 | [
[
"Aabed",
"Mohammed A.",
""
],
[
"Kwon",
"Gukyeong",
""
],
[
"AlRegib",
"Ghassan",
""
]
] | We propose a perceptual video quality assessment (PVQA) metric for distorted videos by analyzing the power spectral density (PSD) of a group of pictures. This is an estimation approach that relies on the changes in video dynamic calculated in the frequency domain and are primarily caused by distortion. We obtain a feat... |
1901.06039 | Theresa Breiner | Theresa Breiner, Chieu Nguyen, Daan van Esch, Jeremy O'Brien | Automatic Keyboard Layout Design for Low-Resource Latin-Script Languages | 4 pages, 8 figures | null | null | null | cs.CL cs.CY | http://creativecommons.org/licenses/by-nc-sa/4.0/ | We present our approach to automatically designing and implementing keyboard
layouts on mobile devices for typing low-resource languages written in the
Latin script. For many speakers, one of the barriers in accessing and creating
text content on the web is the absence of input tools for their language. Ease
in typin... | [
{
"created": "Fri, 18 Jan 2019 00:09:24 GMT",
"version": "v1"
}
] | 2019-01-21 | [
[
"Breiner",
"Theresa",
""
],
[
"Nguyen",
"Chieu",
""
],
[
"van Esch",
"Daan",
""
],
[
"O'Brien",
"Jeremy",
""
]
] | We present our approach to automatically designing and implementing keyboard layouts on mobile devices for typing low-resource languages written in the Latin script. For many speakers, one of the barriers in accessing and creating text content on the web is the absence of input tools for their language. Ease in typing ... |
1611.04358 | Weijie Huang | Weijie Huang, Jun Wang | Character-level Convolutional Network for Text Classification Applied to
Chinese Corpus | MSc Thesis, 44 pages | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This article provides an interesting exploration of character-level
convolutional neural network solving Chinese corpus text classification
problem. We constructed a large-scale Chinese language dataset, and the result
shows that character-level convolutional neural network works better on Chinese
corpus than its cor... | [
{
"created": "Mon, 14 Nov 2016 12:24:27 GMT",
"version": "v1"
},
{
"created": "Tue, 15 Nov 2016 14:41:23 GMT",
"version": "v2"
}
] | 2016-11-16 | [
[
"Huang",
"Weijie",
""
],
[
"Wang",
"Jun",
""
]
] | This article provides an interesting exploration of character-level convolutional neural network solving Chinese corpus text classification problem. We constructed a large-scale Chinese language dataset, and the result shows that character-level convolutional neural network works better on Chinese corpus than its corre... |
1701.00161 | Bor-Yuh Evan Chang | Shawn Meier, Aleksandar Chakarov, Maxwell Russek, Sergio Mover, and
Bor-Yuh Evan Chang | Abstracting Event-Driven Systems with Lifestate Rules | null | null | null | null | cs.PL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present lifestate rules--an approach for abstracting event-driven object
protocols. Developing applications against event-driven software frameworks is
notoriously difficult. One reason why is that to create functioning
applications, developers must know about and understand the complex protocols
that abstract the... | [
{
"created": "Sat, 31 Dec 2016 19:53:37 GMT",
"version": "v1"
}
] | 2017-01-03 | [
[
"Meier",
"Shawn",
""
],
[
"Chakarov",
"Aleksandar",
""
],
[
"Russek",
"Maxwell",
""
],
[
"Mover",
"Sergio",
""
],
[
"Chang",
"Bor-Yuh Evan",
""
]
] | We present lifestate rules--an approach for abstracting event-driven object protocols. Developing applications against event-driven software frameworks is notoriously difficult. One reason why is that to create functioning applications, developers must know about and understand the complex protocols that abstract the i... |
1101.0768 | Markus Jalsenius | Raphael Clifford and Markus Jalsenius | Tight Cell-Probe Bounds for Online Integer Multiplication and
Convolution | 15 pages, 2 figures | null | null | null | cs.DS cs.CC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We show tight bounds for both online integer multiplication and convolution
in the cell-probe model with word size w. For the multiplication problem, one
pair of digits, each from one of two n digit numbers that are to be multiplied,
is given as input at step i. The online algorithm outputs a single new digit
from th... | [
{
"created": "Tue, 4 Jan 2011 17:08:23 GMT",
"version": "v1"
},
{
"created": "Wed, 9 Feb 2011 16:38:12 GMT",
"version": "v2"
},
{
"created": "Tue, 30 Aug 2011 17:38:06 GMT",
"version": "v3"
},
{
"created": "Thu, 23 Feb 2012 22:08:51 GMT",
"version": "v4"
}
] | 2012-02-27 | [
[
"Clifford",
"Raphael",
""
],
[
"Jalsenius",
"Markus",
""
]
] | We show tight bounds for both online integer multiplication and convolution in the cell-probe model with word size w. For the multiplication problem, one pair of digits, each from one of two n digit numbers that are to be multiplied, is given as input at step i. The online algorithm outputs a single new digit from the ... |
2401.01835 | Arash Shahmansoori | Arash Shahmansoori | Concurrent Brainstorming & Hypothesis Satisfying: An Iterative Framework
for Enhanced Retrieval-Augmented Generation (R2CBR3H-SR) | 3 pages, 1 table, double column IEEE journal format paper | null | null | null | cs.IT cs.AI cs.IR math.IT | http://creativecommons.org/licenses/by/4.0/ | Addressing the complexity of comprehensive information retrieval, this study
introduces an innovative, iterative retrieval-augmented generation system. Our
approach uniquely integrates a vector-space driven re-ranking mechanism with
concurrent brainstorming to expedite the retrieval of highly relevant
documents, ther... | [
{
"created": "Wed, 3 Jan 2024 17:01:44 GMT",
"version": "v1"
}
] | 2024-01-04 | [
[
"Shahmansoori",
"Arash",
""
]
] | Addressing the complexity of comprehensive information retrieval, this study introduces an innovative, iterative retrieval-augmented generation system. Our approach uniquely integrates a vector-space driven re-ranking mechanism with concurrent brainstorming to expedite the retrieval of highly relevant documents, thereb... |
2212.10503 | Kelly Marchisio | Kelly Marchisio, Patrick Lewis, Yihong Chen, Mikel Artetxe | Mini-Model Adaptation: Efficiently Extending Pretrained Models to New
Languages via Aligned Shallow Training | Findings of ACL 2023 Camera Ready | null | null | null | cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Prior work shows that it is possible to expand pretrained Masked Language
Models (MLMs) to new languages by learning a new set of embeddings, while
keeping the transformer body frozen. Despite learning a small subset of
parameters, this approach is not compute-efficient, as training the new
embeddings requires a full... | [
{
"created": "Tue, 20 Dec 2022 18:17:28 GMT",
"version": "v1"
},
{
"created": "Tue, 4 Jul 2023 19:06:55 GMT",
"version": "v2"
}
] | 2023-07-06 | [
[
"Marchisio",
"Kelly",
""
],
[
"Lewis",
"Patrick",
""
],
[
"Chen",
"Yihong",
""
],
[
"Artetxe",
"Mikel",
""
]
] | Prior work shows that it is possible to expand pretrained Masked Language Models (MLMs) to new languages by learning a new set of embeddings, while keeping the transformer body frozen. Despite learning a small subset of parameters, this approach is not compute-efficient, as training the new embeddings requires a full f... |
1606.02193 | Gabriel Martins Dias | Gabriel Martins Dias, Maddalena Nurchis and Boris Bellalta | Adapting Sampling Interval of Sensor Networks Using On-Line
Reinforcement Learning | 6 pages, 2 figures, submitted to the IEEE World Forum on Internet of
Things 2016 | null | null | null | cs.NI cs.LG cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Monitoring Wireless Sensor Networks (WSNs) are composed of sensor nodes that
report temperature, relative humidity, and other environmental parameters. The
time between two successive measurements is a critical parameter to set during
the WSN configuration because it can impact the WSN's lifetime, the wireless
medium... | [
{
"created": "Tue, 7 Jun 2016 16:01:16 GMT",
"version": "v1"
},
{
"created": "Tue, 12 Jul 2016 16:11:58 GMT",
"version": "v2"
}
] | 2016-07-13 | [
[
"Dias",
"Gabriel Martins",
""
],
[
"Nurchis",
"Maddalena",
""
],
[
"Bellalta",
"Boris",
""
]
] | Monitoring Wireless Sensor Networks (WSNs) are composed of sensor nodes that report temperature, relative humidity, and other environmental parameters. The time between two successive measurements is a critical parameter to set during the WSN configuration because it can impact the WSN's lifetime, the wireless medium c... |
2309.17009 | Parag Dutta | Parag Dutta, Kawin Mayilvaghanan, Pratyaksha Sinha, Ambedkar Dukkipati | Deep Representation Learning for Prediction of Temporal Event Sets in
the Continuous Time Domain | Accepted in ACML 2023 - Conference Track (Long Paper) | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Temporal Point Processes (TPP) play an important role in predicting or
forecasting events. Although these problems have been studied extensively,
predicting multiple simultaneously occurring events can be challenging. For
instance, more often than not, a patient gets admitted to a hospital with
multiple conditions at... | [
{
"created": "Fri, 29 Sep 2023 06:46:31 GMT",
"version": "v1"
}
] | 2023-10-02 | [
[
"Dutta",
"Parag",
""
],
[
"Mayilvaghanan",
"Kawin",
""
],
[
"Sinha",
"Pratyaksha",
""
],
[
"Dukkipati",
"Ambedkar",
""
]
] | Temporal Point Processes (TPP) play an important role in predicting or forecasting events. Although these problems have been studied extensively, predicting multiple simultaneously occurring events can be challenging. For instance, more often than not, a patient gets admitted to a hospital with multiple conditions at a... |
2402.09185 | Roland Guttenberg | Roland Guttenberg | Flattability of Priority Vector Addition Systems | 24 pages, 2 figures, full version of paper at ICALP 2024 | null | null | null | cs.FL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Vector addition systems (VAS), also known as Petri nets, are a popular model
of concurrent systems. Many problems from many areas reduce to the reachability
problem for VAS, which consists of deciding whether a target configuration of a
VAS is reachable from a given initial configuration. One of the main approaches
t... | [
{
"created": "Wed, 14 Feb 2024 13:57:25 GMT",
"version": "v1"
},
{
"created": "Tue, 30 Apr 2024 13:30:47 GMT",
"version": "v2"
}
] | 2024-05-01 | [
[
"Guttenberg",
"Roland",
""
]
] | Vector addition systems (VAS), also known as Petri nets, are a popular model of concurrent systems. Many problems from many areas reduce to the reachability problem for VAS, which consists of deciding whether a target configuration of a VAS is reachable from a given initial configuration. One of the main approaches to ... |
1912.12719 | Mirza Rami\v{c}i\'c | Mirza Ramicic, Andrea Bonarini | Augmented Replay Memory in Reinforcement Learning With Continuous
Control | null | IEEE Transactions on Cognitive and Developmental Systems (2021)
1-12 | 10.1109/TCDS.2021.3050723 | null | cs.LG cs.AI cs.NE stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Online reinforcement learning agents are currently able to process an
increasing amount of data by converting it into a higher order value functions.
This expansion of the information collected from the environment increases the
agent's state space enabling it to scale up to a more complex problems but also
increases... | [
{
"created": "Sun, 29 Dec 2019 20:07:18 GMT",
"version": "v1"
}
] | 2021-02-04 | [
[
"Ramicic",
"Mirza",
""
],
[
"Bonarini",
"Andrea",
""
]
] | Online reinforcement learning agents are currently able to process an increasing amount of data by converting it into a higher order value functions. This expansion of the information collected from the environment increases the agent's state space enabling it to scale up to a more complex problems but also increases t... |
1601.04293 | Amir Rosenfeld | Amir Rosenfeld and Shimon Ullman | Face-space Action Recognition by Face-Object Interactions | our more recent work on a related topic is described in a separate
paper : http://arxiv.org/abs/1511.03814 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Action recognition in still images has seen major improvement in recent years
due to advances in human pose estimation, object recognition and stronger
feature representations. However, there are still many cases in which
performance remains far from that of humans. In this paper, we approach the
problem by learning ... | [
{
"created": "Sun, 17 Jan 2016 13:24:44 GMT",
"version": "v1"
}
] | 2016-01-19 | [
[
"Rosenfeld",
"Amir",
""
],
[
"Ullman",
"Shimon",
""
]
] | Action recognition in still images has seen major improvement in recent years due to advances in human pose estimation, object recognition and stronger feature representations. However, there are still many cases in which performance remains far from that of humans. In this paper, we approach the problem by learning ex... |
2112.12606 | Davide Cozzolino | Davide Cozzolino, Diego Gragnaniello, Giovanni Poggi, Luisa Verdoliva | Towards Universal GAN Image Detection | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The ever higher quality and wide diffusion of fake images have spawn a quest
for reliable forensic tools. Many GAN image detectors have been proposed,
recently. In real world scenarios, however, most of them show limited
robustness and generalization ability. Moreover, they often rely on side
information not availabl... | [
{
"created": "Thu, 23 Dec 2021 14:49:27 GMT",
"version": "v1"
}
] | 2021-12-24 | [
[
"Cozzolino",
"Davide",
""
],
[
"Gragnaniello",
"Diego",
""
],
[
"Poggi",
"Giovanni",
""
],
[
"Verdoliva",
"Luisa",
""
]
] | The ever higher quality and wide diffusion of fake images have spawn a quest for reliable forensic tools. Many GAN image detectors have been proposed, recently. In real world scenarios, however, most of them show limited robustness and generalization ability. Moreover, they often rely on side information not available ... |
1304.7211 | Martin Welk | Martin Welk, Martin Erler | Algorithmic Optimisations for Iterative Deconvolution Methods | Part of the OAGM/AAPR 2013 proceedings (arXiv:1304.1876) | null | null | OAGM-AAPR/2013/06 | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We investigate possibilities to speed up iterative algorithms for non-blind
image deconvolution. We focus on algorithms in which convolution with the
point-spread function to be deconvolved is used in each iteration, and aim at
accelerating these convolution operations as they are typically the most
expensive part of... | [
{
"created": "Fri, 26 Apr 2013 16:02:40 GMT",
"version": "v1"
}
] | 2013-04-29 | [
[
"Welk",
"Martin",
""
],
[
"Erler",
"Martin",
""
]
] | We investigate possibilities to speed up iterative algorithms for non-blind image deconvolution. We focus on algorithms in which convolution with the point-spread function to be deconvolved is used in each iteration, and aim at accelerating these convolution operations as they are typically the most expensive part of t... |
1606.07154 | Mihajlo Grbovic | Mihajlo Grbovic, Vladan Radosavljevic, Nemanja Djuric, Narayan
Bhamidipati, Jaikit Savla, Varun Bhagwan, Doug Sharp | E-commerce in Your Inbox: Product Recommendations at Scale | 10 pages, 12 figures, Proceedings of the 21th ACM SIGKDD
International Conference on Knowledge Discovery and Data Mining (KDD 2015),
Sydney, Australia | Proceedings of the 21th ACM SIGKDD International Conference on
Knowledge Discovery and Data Mining (KDD 2015), Sydney, Australia | 10.1145/2783258.2788627. | null | cs.AI cs.IR cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In recent years online advertising has become increasingly ubiquitous and
effective. Advertisements shown to visitors fund sites and apps that publish
digital content, manage social networks, and operate e-mail services. Given
such large variety of internet resources, determining an appropriate type of
advertising fo... | [
{
"created": "Thu, 23 Jun 2016 01:20:59 GMT",
"version": "v1"
}
] | 2016-06-24 | [
[
"Grbovic",
"Mihajlo",
""
],
[
"Radosavljevic",
"Vladan",
""
],
[
"Djuric",
"Nemanja",
""
],
[
"Bhamidipati",
"Narayan",
""
],
[
"Savla",
"Jaikit",
""
],
[
"Bhagwan",
"Varun",
""
],
[
"Sharp",
"Doug",
""
]... | In recent years online advertising has become increasingly ubiquitous and effective. Advertisements shown to visitors fund sites and apps that publish digital content, manage social networks, and operate e-mail services. Given such large variety of internet resources, determining an appropriate type of advertising for ... |
2009.12922 | Olga Poppe | Olga Poppe, Tayo Amuneke, Dalitso Banda, Aritra De, Ari Green, Manon
Knoertzer, Ehi Nosakhare, Karthik Rajendran, Deepak Shankargouda, Meina Wang,
Alan Au, Carlo Curino, Qun Guo, Alekh Jindal, Ajay Kalhan, Morgan Oslake,
Sonia Parchani, Vijay Ramani, Raj Sellappan, Saikat Sen, Sheetal Shrotri,
Soundararajan Sri... | Seagull: An Infrastructure for Load Prediction and Optimized Resource
Allocation | Technical report for the paper in VLDB 2021 | null | null | null | cs.DC cs.DB cs.LG cs.PF | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Microsoft Azure is dedicated to guarantee high quality of service to its
customers, in particular, during periods of high customer activity, while
controlling cost. We employ a Data Science (DS) driven solution to predict user
load and leverage these predictions to optimize resource allocation. To this
end, we built ... | [
{
"created": "Sun, 27 Sep 2020 18:41:32 GMT",
"version": "v1"
},
{
"created": "Fri, 16 Oct 2020 19:22:57 GMT",
"version": "v2"
}
] | 2020-10-20 | [
[
"Poppe",
"Olga",
""
],
[
"Amuneke",
"Tayo",
""
],
[
"Banda",
"Dalitso",
""
],
[
"De",
"Aritra",
""
],
[
"Green",
"Ari",
""
],
[
"Knoertzer",
"Manon",
""
],
[
"Nosakhare",
"Ehi",
""
],
[
"Rajendran",... | Microsoft Azure is dedicated to guarantee high quality of service to its customers, in particular, during periods of high customer activity, while controlling cost. We employ a Data Science (DS) driven solution to predict user load and leverage these predictions to optimize resource allocation. To this end, we built th... |
2208.01913 | Penglei Gao | Penglei Gao, Xi Yang, Rui Zhang, Ping Guo, John Y. Goulermas, and
Kaizhu Huang | EgPDE-Net: Building Continuous Neural Networks for Time Series
Prediction with Exogenous Variables | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | While exogenous variables have a major impact on performance improvement in
time series analysis, inter-series correlation and time dependence among them
are rarely considered in the present continuous methods. The dynamical systems
of multivariate time series could be modelled with complex unknown partial
differenti... | [
{
"created": "Wed, 3 Aug 2022 08:34:31 GMT",
"version": "v1"
},
{
"created": "Mon, 25 Sep 2023 08:08:04 GMT",
"version": "v2"
}
] | 2023-09-26 | [
[
"Gao",
"Penglei",
""
],
[
"Yang",
"Xi",
""
],
[
"Zhang",
"Rui",
""
],
[
"Guo",
"Ping",
""
],
[
"Goulermas",
"John Y.",
""
],
[
"Huang",
"Kaizhu",
""
]
] | While exogenous variables have a major impact on performance improvement in time series analysis, inter-series correlation and time dependence among them are rarely considered in the present continuous methods. The dynamical systems of multivariate time series could be modelled with complex unknown partial differential... |
2106.08761 | Luke Guerdan | Luke Guerdan, Alex Raymond, and Hatice Gunes | Toward Affective XAI: Facial Affect Analysis for Understanding
Explainable Human-AI Interactions | null | null | null | null | cs.CV cs.HC | http://creativecommons.org/licenses/by/4.0/ | As machine learning approaches are increasingly used to augment human
decision-making, eXplainable Artificial Intelligence (XAI) research has
explored methods for communicating system behavior to humans. However, these
approaches often fail to account for the emotional responses of humans as they
interact with explan... | [
{
"created": "Wed, 16 Jun 2021 13:14:21 GMT",
"version": "v1"
},
{
"created": "Fri, 15 Oct 2021 14:00:02 GMT",
"version": "v2"
}
] | 2021-10-18 | [
[
"Guerdan",
"Luke",
""
],
[
"Raymond",
"Alex",
""
],
[
"Gunes",
"Hatice",
""
]
] | As machine learning approaches are increasingly used to augment human decision-making, eXplainable Artificial Intelligence (XAI) research has explored methods for communicating system behavior to humans. However, these approaches often fail to account for the emotional responses of humans as they interact with explanat... |
1407.8373 | Mathias Weller | Mathias Weller | Optimal Hub Labeling is NP-complete | null | null | null | null | cs.CC cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Distance labeling is a preprocessing technique introduced by Peleg [Journal
of Graph Theory, 33(3)] to speed up distance queries in large networks. Herein,
each vertex receives a (short) label and, the distance between two vertices can
be inferred from their two labels. One such preprocessing problem occurs in the
hu... | [
{
"created": "Thu, 31 Jul 2014 12:13:46 GMT",
"version": "v1"
}
] | 2014-08-01 | [
[
"Weller",
"Mathias",
""
]
] | Distance labeling is a preprocessing technique introduced by Peleg [Journal of Graph Theory, 33(3)] to speed up distance queries in large networks. Herein, each vertex receives a (short) label and, the distance between two vertices can be inferred from their two labels. One such preprocessing problem occurs in the hub ... |
1911.08817 | Laurens Bliek | Laurens Bliek, Sicco Verwer and Mathijs de Weerdt | Black-box Combinatorial Optimization using Models with Integer-valued
Minima | null | Annals of Mathematics and Artificial Intelligence 89, 639-653
(2021) | 10.1007/s10472-020-09712-4 | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | When a black-box optimization objective can only be evaluated with costly or
noisy measurements, most standard optimization algorithms are unsuited to find
the optimal solution. Specialized algorithms that deal with exactly this
situation make use of surrogate models. These models are usually continuous and
smooth, w... | [
{
"created": "Wed, 20 Nov 2019 10:56:53 GMT",
"version": "v1"
}
] | 2021-06-11 | [
[
"Bliek",
"Laurens",
""
],
[
"Verwer",
"Sicco",
""
],
[
"de Weerdt",
"Mathijs",
""
]
] | When a black-box optimization objective can only be evaluated with costly or noisy measurements, most standard optimization algorithms are unsuited to find the optimal solution. Specialized algorithms that deal with exactly this situation make use of surrogate models. These models are usually continuous and smooth, whi... |
1607.05418 | Soheil Hashemi | Hokchhay Tann, Soheil Hashemi, R. Iris Bahar, Sherief Reda | Runtime Configurable Deep Neural Networks for Energy-Accuracy Trade-off | null | null | 10.1145/2968456.2968458 | null | cs.NE cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a novel dynamic configuration technique for deep neural networks
that permits step-wise energy-accuracy trade-offs during runtime. Our
configuration technique adjusts the number of channels in the network
dynamically depending on response time, power, and accuracy targets. To enable
this dynamic configurat... | [
{
"created": "Tue, 19 Jul 2016 06:27:05 GMT",
"version": "v1"
},
{
"created": "Wed, 20 Jul 2016 20:42:51 GMT",
"version": "v2"
}
] | 2016-10-25 | [
[
"Tann",
"Hokchhay",
""
],
[
"Hashemi",
"Soheil",
""
],
[
"Bahar",
"R. Iris",
""
],
[
"Reda",
"Sherief",
""
]
] | We present a novel dynamic configuration technique for deep neural networks that permits step-wise energy-accuracy trade-offs during runtime. Our configuration technique adjusts the number of channels in the network dynamically depending on response time, power, and accuracy targets. To enable this dynamic configuratio... |
2210.12268 | Benedict Quartey | Benedict Quartey, Tuluhan Akbulut, Wasiwasi Mgonzo, Zheng Xin Yong | An Exploration of Neural Radiance Field Scene Reconstruction: Synthetic,
Real-world and Dynamic Scenes | null | null | null | null | cs.CV cs.AI | http://creativecommons.org/licenses/by/4.0/ | This project presents an exploration into 3D scene reconstruction of
synthetic and real-world scenes using Neural Radiance Field (NeRF) approaches.
We primarily take advantage of the reduction in training and rendering time of
neural graphic primitives multi-resolution hash encoding, to reconstruct static
video game ... | [
{
"created": "Fri, 21 Oct 2022 21:51:17 GMT",
"version": "v1"
}
] | 2022-10-25 | [
[
"Quartey",
"Benedict",
""
],
[
"Akbulut",
"Tuluhan",
""
],
[
"Mgonzo",
"Wasiwasi",
""
],
[
"Yong",
"Zheng Xin",
""
]
] | This project presents an exploration into 3D scene reconstruction of synthetic and real-world scenes using Neural Radiance Field (NeRF) approaches. We primarily take advantage of the reduction in training and rendering time of neural graphic primitives multi-resolution hash encoding, to reconstruct static video game sc... |
2305.03969 | Maojun Zhang | Maojun Zhang, Yang Li, Dongzhu Liu, Richeng Jin, Guangxu Zhu, Caijun
Zhong, Tony Q.S. Quek | Joint Compression and Deadline Optimization for Wireless Federated
Learning | 13 pages, accepted by IEEE Transactions on Mobile Computing (TMC) | null | null | null | cs.IT cs.DC math.IT | http://creativecommons.org/licenses/by/4.0/ | Federated edge learning (FEEL) is a popular distributed learning framework
for privacy-preserving at the edge, in which densely distributed edge devices
periodically exchange model-updates with the server to complete the global
model training. Due to limited bandwidth and uncertain wireless environment,
FEEL may impo... | [
{
"created": "Sat, 6 May 2023 08:01:49 GMT",
"version": "v1"
},
{
"created": "Wed, 13 Dec 2023 03:42:30 GMT",
"version": "v2"
}
] | 2023-12-14 | [
[
"Zhang",
"Maojun",
""
],
[
"Li",
"Yang",
""
],
[
"Liu",
"Dongzhu",
""
],
[
"Jin",
"Richeng",
""
],
[
"Zhu",
"Guangxu",
""
],
[
"Zhong",
"Caijun",
""
],
[
"Quek",
"Tony Q. S.",
""
]
] | Federated edge learning (FEEL) is a popular distributed learning framework for privacy-preserving at the edge, in which densely distributed edge devices periodically exchange model-updates with the server to complete the global model training. Due to limited bandwidth and uncertain wireless environment, FEEL may impose... |
1503.03606 | Nagaraja S | Nagaraja S. and Prabhakar C.J. | Low-Level Features for Image Retrieval Based on Extraction of
Directional Binary Patterns and Its Oriented Gradients Histogram | 7 Figures, 5 Tables 16 Pages in Computer Applications: An
International Journal (CAIJ), Vol.2, No.1, February 2015 | null | 10.5121/caij.2015.2102 | null | cs.CV cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we present a novel approach for image retrieval based on
extraction of low level features using techniques such as Directional Binary
Code, Haar Wavelet transform and Histogram of Oriented Gradients. The DBC
texture descriptor captures the spatial relationship between any pair of
neighbourhood pixels i... | [
{
"created": "Thu, 12 Mar 2015 06:45:01 GMT",
"version": "v1"
}
] | 2015-03-13 | [
[
"S.",
"Nagaraja",
""
],
[
"J.",
"Prabhakar C.",
""
]
] | In this paper, we present a novel approach for image retrieval based on extraction of low level features using techniques such as Directional Binary Code, Haar Wavelet transform and Histogram of Oriented Gradients. The DBC texture descriptor captures the spatial relationship between any pair of neighbourhood pixels in ... |
2305.10972 | Gogulapati Sreedurga | Gogulapati Sreedurga | Participatory Budgeting With Multiple Degrees of Projects And Ranged
Approval Votes | Accepted for IJCAI-2023 main track | null | null | null | cs.GT cs.AI cs.MA | http://creativecommons.org/licenses/by-sa/4.0/ | In an indivisible participatory budgeting (PB) framework, we have a limited
budget that is to be distributed among a set of projects, by aggregating the
preferences of voters for the projects. All the prior work on indivisible PB
assumes that each project has only one possible cost. In this work, we let each
project ... | [
{
"created": "Thu, 18 May 2023 13:39:56 GMT",
"version": "v1"
}
] | 2023-05-19 | [
[
"Sreedurga",
"Gogulapati",
""
]
] | In an indivisible participatory budgeting (PB) framework, we have a limited budget that is to be distributed among a set of projects, by aggregating the preferences of voters for the projects. All the prior work on indivisible PB assumes that each project has only one possible cost. In this work, we let each project ha... |
2004.01812 | Vincent Vajnovszki | J.-L. Baril, G. Cerbai, C. Khalil and V. Vajnovszki | Catalan and Schr\"oder permutations sortable by two restricted stacks | This version extends and updates the previous one | null | null | null | cs.DM math.CO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Pattern avoiding machines were introduced recently by Claesson, Cerbai and
Ferrari as a particular case of the two-stacks in series sorting device. They
consist of two restricted stacks in series, ruled by a right-greedy procedure
and the stacks avoid some specified patterns. Some of the obtained results have
been fu... | [
{
"created": "Fri, 3 Apr 2020 23:37:19 GMT",
"version": "v1"
},
{
"created": "Tue, 22 Sep 2020 13:59:45 GMT",
"version": "v2"
}
] | 2020-09-23 | [
[
"Baril",
"J. -L.",
""
],
[
"Cerbai",
"G.",
""
],
[
"Khalil",
"C.",
""
],
[
"Vajnovszki",
"V.",
""
]
] | Pattern avoiding machines were introduced recently by Claesson, Cerbai and Ferrari as a particular case of the two-stacks in series sorting device. They consist of two restricted stacks in series, ruled by a right-greedy procedure and the stacks avoid some specified patterns. Some of the obtained results have been furt... |
2005.10038 | Ronen Gradwohl | Ronen Gradwohl and Moshe Tennenholtz | Coopetition Against an Amazon | null | null | null | null | cs.GT econ.TH | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper studies cooperative data-sharing between competitors vying to
predict a consumer's tastes. We design optimal data-sharing schemes both for
when they compete only with each other, and for when they additionally compete
with an Amazon -- a company with more, better data. We show that simple schemes
-- thresh... | [
{
"created": "Wed, 20 May 2020 13:33:03 GMT",
"version": "v1"
},
{
"created": "Mon, 6 Sep 2021 05:12:35 GMT",
"version": "v2"
},
{
"created": "Tue, 23 Nov 2021 08:17:13 GMT",
"version": "v3"
}
] | 2021-11-24 | [
[
"Gradwohl",
"Ronen",
""
],
[
"Tennenholtz",
"Moshe",
""
]
] | This paper studies cooperative data-sharing between competitors vying to predict a consumer's tastes. We design optimal data-sharing schemes both for when they compete only with each other, and for when they additionally compete with an Amazon -- a company with more, better data. We show that simple schemes -- threshol... |
2007.05971 | Liwen Li | Liwen Li, Zequn Wei, Jin-Kao Hao and Kun He | Probability Learning based Tabu Search for the Budgeted Maximum Coverage
Problem | null | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Knapsack problems are classic models that can formulate a wide range of
applications. In this work, we deal with the Budgeted Maximum Coverage Problem
(BMCP), which is a generalized 0-1 knapsack problem. Given a set of items with
nonnegative weights and a set of elements with nonnegative profits, where each
item is c... | [
{
"created": "Sun, 12 Jul 2020 12:11:59 GMT",
"version": "v1"
}
] | 2020-07-14 | [
[
"Li",
"Liwen",
""
],
[
"Wei",
"Zequn",
""
],
[
"Hao",
"Jin-Kao",
""
],
[
"He",
"Kun",
""
]
] | Knapsack problems are classic models that can formulate a wide range of applications. In this work, we deal with the Budgeted Maximum Coverage Problem (BMCP), which is a generalized 0-1 knapsack problem. Given a set of items with nonnegative weights and a set of elements with nonnegative profits, where each item is com... |
2104.13037 | Martin Ki\v{s}\v{s} | Martin Ki\v{s}\v{s} and Karel Bene\v{s} and Michal Hradi\v{s} | AT-ST: Self-Training Adaptation Strategy for OCR in Domains with Limited
Transcriptions | 15 pages, 6 figures, 5 tables | null | 10.1007/978-3-030-86337-1_31 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper addresses text recognition for domains with limited manual
annotations by a simple self-training strategy. Our approach should reduce
human annotation effort when target domain data is plentiful, such as when
transcribing a collection of single person's correspondence or a large
manuscript. We propose to t... | [
{
"created": "Tue, 27 Apr 2021 08:20:46 GMT",
"version": "v1"
}
] | 2022-01-26 | [
[
"Kišš",
"Martin",
""
],
[
"Beneš",
"Karel",
""
],
[
"Hradiš",
"Michal",
""
]
] | This paper addresses text recognition for domains with limited manual annotations by a simple self-training strategy. Our approach should reduce human annotation effort when target domain data is plentiful, such as when transcribing a collection of single person's correspondence or a large manuscript. We propose to tra... |
0711.3302 | EDA Publishing Association | D. Allen, N. Duclos, I. Garbutt, M. Saumer, Ch. Dhum, M. Schmitt, J.
E. Hoffmann | The Effects of Additives on the Physical Properties of Electroformed
Nickel and on the Stretch of Photoelectroformed Nickel Components | Submitted on behalf of TIMA Editions
(http://irevues.inist.fr/tima-editions) | Dans Symposium on Design, Test, Integration and Packaging of
MEMS/MOEMS - DTIP 2006, Stresa, Lago Maggiore : Italie (2006) | null | null | cs.OH | null | The process of nickel electroforming is becoming increasingly important in
the manufacture of MST products, as it has the potential to replicate complex
geometries with extremely high fidelity. Electroforming of nickel uses
multi-component electrolyte formulations in order to maximise desirable product
properties. In... | [
{
"created": "Wed, 21 Nov 2007 09:47:35 GMT",
"version": "v1"
}
] | 2007-11-29 | [
[
"Allen",
"D.",
""
],
[
"Duclos",
"N.",
""
],
[
"Garbutt",
"I.",
""
],
[
"Saumer",
"M.",
""
],
[
"Dhum",
"Ch.",
""
],
[
"Schmitt",
"M.",
""
],
[
"Hoffmann",
"J. E.",
""
]
] | The process of nickel electroforming is becoming increasingly important in the manufacture of MST products, as it has the potential to replicate complex geometries with extremely high fidelity. Electroforming of nickel uses multi-component electrolyte formulations in order to maximise desirable product properties. In a... |
1301.6718 | Yishay Mansour | Yishay Mansour, Satinder Singh | On the Complexity of Policy Iteration | Appears in Proceedings of the Fifteenth Conference on Uncertainty in
Artificial Intelligence (UAI1999) | null | null | UAI-P-1999-PG-401-408 | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Decision-making problems in uncertain or stochastic domains are often
formulated as Markov decision processes (MDPs). Policy iteration (PI) is a
popular algorithm for searching over policy-space, the size of which is
exponential in the number of states. We are interested in bounds on the
complexity of PI that do not ... | [
{
"created": "Wed, 23 Jan 2013 15:59:34 GMT",
"version": "v1"
}
] | 2013-01-30 | [
[
"Mansour",
"Yishay",
""
],
[
"Singh",
"Satinder",
""
]
] | Decision-making problems in uncertain or stochastic domains are often formulated as Markov decision processes (MDPs). Policy iteration (PI) is a popular algorithm for searching over policy-space, the size of which is exponential in the number of states. We are interested in bounds on the complexity of PI that do not de... |
1402.5073 | Xiangrong Zeng | Xiangrong Zeng and M\'ario A. T. Figueiredo | Exploiting Two-Dimensional Group Sparsity in 1-Bit Compressive Sensing | RecPad 2013, Lisbon, Portugal | null | null | null | cs.CV cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a new approach, {\it two-dimensional fused binary compressive
sensing} (2DFBCS) to recover 2D sparse piece-wise signals from 1-bit
measurements, exploiting 2D group sparsity for 1-bit compressive sensing
recovery. The proposed method is a modified 2D version of the previous {\it
binary iterative hard thres... | [
{
"created": "Thu, 20 Feb 2014 17:05:59 GMT",
"version": "v1"
},
{
"created": "Fri, 21 Feb 2014 09:34:01 GMT",
"version": "v2"
}
] | 2014-02-24 | [
[
"Zeng",
"Xiangrong",
""
],
[
"Figueiredo",
"Mário A. T.",
""
]
] | We propose a new approach, {\it two-dimensional fused binary compressive sensing} (2DFBCS) to recover 2D sparse piece-wise signals from 1-bit measurements, exploiting 2D group sparsity for 1-bit compressive sensing recovery. The proposed method is a modified 2D version of the previous {\it binary iterative hard thresho... |
1806.08890 | Sven Buechel | Sven Buechel and Udo Hahn | Emotion Representation Mapping for Automatic Lexicon Construction
(Mostly) Performs on Human Level | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Emotion Representation Mapping (ERM) has the goal to convert existing emotion
ratings from one representation format into another one, e.g., mapping
Valence-Arousal-Dominance annotations for words or sentences into Ekman's Basic
Emotions and vice versa. ERM can thus not only be considered as an alternative
to Word Em... | [
{
"created": "Sat, 23 Jun 2018 02:00:13 GMT",
"version": "v1"
}
] | 2018-06-26 | [
[
"Buechel",
"Sven",
""
],
[
"Hahn",
"Udo",
""
]
] | Emotion Representation Mapping (ERM) has the goal to convert existing emotion ratings from one representation format into another one, e.g., mapping Valence-Arousal-Dominance annotations for words or sentences into Ekman's Basic Emotions and vice versa. ERM can thus not only be considered as an alternative to Word Emot... |
2205.06470 | Nilay Kumar Mondal | Pramod Kumar Kewat and Nilay Kumar Mondal | A class of few-Lee weight $\mathbb{Z}_2[u]$-linear codes using
simplicial complexes and minimal codes via Gray map | 12 pages, size of code is changed in Theorem 3.2, proposition 4.1 is
added, some examples are added in both section 3 and 4 | null | null | null | cs.IT math.IT | http://creativecommons.org/licenses/by/4.0/ | Recently some mixed alphabet rings are involved in constructing few-Lee
weight additive codes with optimal or minimal Gray images using suitable
defining sets or down-sets. Inspired by these works, we choose the mixed
alphabet ring $\mathbb{Z}_2\mathbb{Z}_2[u]$ to construct a special class of
linear code $C_L$ over $... | [
{
"created": "Fri, 13 May 2022 06:59:11 GMT",
"version": "v1"
},
{
"created": "Sun, 5 Jun 2022 16:10:16 GMT",
"version": "v2"
}
] | 2022-06-07 | [
[
"Kewat",
"Pramod Kumar",
""
],
[
"Mondal",
"Nilay Kumar",
""
]
] | Recently some mixed alphabet rings are involved in constructing few-Lee weight additive codes with optimal or minimal Gray images using suitable defining sets or down-sets. Inspired by these works, we choose the mixed alphabet ring $\mathbb{Z}_2\mathbb{Z}_2[u]$ to construct a special class of linear code $C_L$ over $\m... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.