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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2303.01774 | David Eriksson | Aryan Deshwal, Sebastian Ament, Maximilian Balandat, Eytan Bakshy,
Janardhan Rao Doppa, David Eriksson | Bayesian Optimization over High-Dimensional Combinatorial Spaces via
Dictionary-based Embeddings | Appearing in AISTATS 2023 | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the problem of optimizing expensive black-box functions over
high-dimensional combinatorial spaces which arises in many science,
engineering, and ML applications. We use Bayesian Optimization (BO) and propose
a novel surrogate modeling approach for efficiently handling a large number of
binary and categor... | [
{
"created": "Fri, 3 Mar 2023 08:31:42 GMT",
"version": "v1"
}
] | 2023-03-06 | [
[
"Deshwal",
"Aryan",
""
],
[
"Ament",
"Sebastian",
""
],
[
"Balandat",
"Maximilian",
""
],
[
"Bakshy",
"Eytan",
""
],
[
"Doppa",
"Janardhan Rao",
""
],
[
"Eriksson",
"David",
""
]
] | We consider the problem of optimizing expensive black-box functions over high-dimensional combinatorial spaces which arises in many science, engineering, and ML applications. We use Bayesian Optimization (BO) and propose a novel surrogate modeling approach for efficiently handling a large number of binary and categoric... |
1705.07202 | Lei Cai | Lei Cai and Hongyang Gao and Shuiwang Ji | Multi-Stage Variational Auto-Encoders for Coarse-to-Fine Image
Generation | null | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Variational auto-encoder (VAE) is a powerful unsupervised learning framework
for image generation. One drawback of VAE is that it generates blurry images
due to its Gaussianity assumption and thus L2 loss. To allow the generation of
high quality images by VAE, we increase the capacity of decoder network by
employing ... | [
{
"created": "Fri, 19 May 2017 21:51:30 GMT",
"version": "v1"
}
] | 2017-05-23 | [
[
"Cai",
"Lei",
""
],
[
"Gao",
"Hongyang",
""
],
[
"Ji",
"Shuiwang",
""
]
] | Variational auto-encoder (VAE) is a powerful unsupervised learning framework for image generation. One drawback of VAE is that it generates blurry images due to its Gaussianity assumption and thus L2 loss. To allow the generation of high quality images by VAE, we increase the capacity of decoder network by employing re... |
2407.07805 | Xin Jin | Huafeng Qin, Xin Jin, Hongyu Zhu, Hongchao Liao, Moun\^im A.
El-Yacoubi and Xinbo Gao | SUMix: Mixup with Semantic and Uncertain Information | Accepted by ECCV2024 [Camera Ready] (19 pages, 7 figures) with the
source code at https://github.com/JinXins/SUMix | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Mixup data augmentation approaches have been applied for various tasks of
deep learning to improve the generalization ability of deep neural networks.
Some existing approaches CutMix, SaliencyMix, etc. randomly replace a patch in
one image with patches from another to generate the mixed image. Similarly, the
correspo... | [
{
"created": "Wed, 10 Jul 2024 16:25:26 GMT",
"version": "v1"
},
{
"created": "Wed, 17 Jul 2024 11:46:52 GMT",
"version": "v2"
}
] | 2024-07-18 | [
[
"Qin",
"Huafeng",
""
],
[
"Jin",
"Xin",
""
],
[
"Zhu",
"Hongyu",
""
],
[
"Liao",
"Hongchao",
""
],
[
"El-Yacoubi",
"Mounîm A.",
""
],
[
"Gao",
"Xinbo",
""
]
] | Mixup data augmentation approaches have been applied for various tasks of deep learning to improve the generalization ability of deep neural networks. Some existing approaches CutMix, SaliencyMix, etc. randomly replace a patch in one image with patches from another to generate the mixed image. Similarly, the correspond... |
1901.08983 | Xinyuan Qian | Xinyuan Qian, Andrea Cavallaro, Alessio Brutti, Maurizio Omologo | LOCATA challenge: speaker localization with a planar array | In Proceedings of the LOCATA ChallengeWorkshop - a satellite event of
IWAENC 2018 (arXiv:1811.08482 ) | null | null | LOCATAchallenge/2018/05 | cs.SD eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This document describes our submission to the 2018 LOCalization And TrAcking
(LOCATA) challenge (Tasks 1, 3, 5). We estimate the 3D position of a speaker
using the Global Coherence Field (GCF) computed from multiple microphone pairs
of a DICIT planar array. One of the main challenges when using such an array
with omn... | [
{
"created": "Fri, 25 Jan 2019 17:00:56 GMT",
"version": "v1"
}
] | 2019-01-28 | [
[
"Qian",
"Xinyuan",
""
],
[
"Cavallaro",
"Andrea",
""
],
[
"Brutti",
"Alessio",
""
],
[
"Omologo",
"Maurizio",
""
]
] | This document describes our submission to the 2018 LOCalization And TrAcking (LOCATA) challenge (Tasks 1, 3, 5). We estimate the 3D position of a speaker using the Global Coherence Field (GCF) computed from multiple microphone pairs of a DICIT planar array. One of the main challenges when using such an array with omnid... |
2205.10234 | Pablo Mosteiro | Thomas Borger, Pablo Mosteiro, Heysem Kaya, Emil Rijcken, Albert Ali
Salah, Floortje Scheepers, Marco Spruit | Federated learning for violence incident prediction in a simulated
cross-institutional psychiatric setting | null | Expert Systems with Applications Volume 199, 1 August 2022, 116720 | 10.1016/j.eswa.2022.116720 | null | cs.CL cs.CY cs.LG | http://creativecommons.org/licenses/by/4.0/ | Inpatient violence is a common and severe problem within psychiatry. Knowing
who might become violent can influence staffing levels and mitigate severity.
Predictive machine learning models can assess each patient's likelihood of
becoming violent based on clinical notes. Yet, while machine learning models
benefit fro... | [
{
"created": "Tue, 17 May 2022 07:37:12 GMT",
"version": "v1"
}
] | 2022-05-23 | [
[
"Borger",
"Thomas",
""
],
[
"Mosteiro",
"Pablo",
""
],
[
"Kaya",
"Heysem",
""
],
[
"Rijcken",
"Emil",
""
],
[
"Salah",
"Albert Ali",
""
],
[
"Scheepers",
"Floortje",
""
],
[
"Spruit",
"Marco",
""
]
] | Inpatient violence is a common and severe problem within psychiatry. Knowing who might become violent can influence staffing levels and mitigate severity. Predictive machine learning models can assess each patient's likelihood of becoming violent based on clinical notes. Yet, while machine learning models benefit from ... |
1607.01896 | Howard H. Yang | Howard H. Yang, Giovanni Geraci, Tony Q. S. Quek, Jeffrey G. Andrews | Cell-Edge-Aware Precoding for Downlink Massive MIMO Cellular Networks | 13 pages, 10 figures | null | 10.1109/TSP.2017.2690387 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a cell-edge-aware (CEA) zero forcing (ZF) precoder that exploits
the excess spatial degrees of freedom provided by a large number of base
station (BS) antennas to suppress inter-cell interference at the most
vulnerable user equipments (UEs). We evaluate the downlink performance of
CEA-ZF, as well as that o... | [
{
"created": "Thu, 7 Jul 2016 07:38:35 GMT",
"version": "v1"
},
{
"created": "Tue, 11 Oct 2016 14:10:51 GMT",
"version": "v2"
}
] | 2017-05-24 | [
[
"Yang",
"Howard H.",
""
],
[
"Geraci",
"Giovanni",
""
],
[
"Quek",
"Tony Q. S.",
""
],
[
"Andrews",
"Jeffrey G.",
""
]
] | We propose a cell-edge-aware (CEA) zero forcing (ZF) precoder that exploits the excess spatial degrees of freedom provided by a large number of base station (BS) antennas to suppress inter-cell interference at the most vulnerable user equipments (UEs). We evaluate the downlink performance of CEA-ZF, as well as that of ... |
2406.11283 | Yunsong Wang | Yunsong Wang, Na Zhao, Gim Hee Lee | Enhancing Generalizability of Representation Learning for Data-Efficient
3D Scene Understanding | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | The field of self-supervised 3D representation learning has emerged as a
promising solution to alleviate the challenge presented by the scarcity of
extensive, well-annotated datasets. However, it continues to be hindered by the
lack of diverse, large-scale, real-world 3D scene datasets for source data. To
address thi... | [
{
"created": "Mon, 17 Jun 2024 07:43:53 GMT",
"version": "v1"
}
] | 2024-06-18 | [
[
"Wang",
"Yunsong",
""
],
[
"Zhao",
"Na",
""
],
[
"Lee",
"Gim Hee",
""
]
] | The field of self-supervised 3D representation learning has emerged as a promising solution to alleviate the challenge presented by the scarcity of extensive, well-annotated datasets. However, it continues to be hindered by the lack of diverse, large-scale, real-world 3D scene datasets for source data. To address this ... |
1909.02490 | Dekai Zhu | Dekai Zhu, Jinhu Dong, Zhongcong Xu, Canbo Ye, Yinbai Hu, Hang Su,
Zhengfa Liu, Guang Chen | Neuromorphic Visual Odometry System for Intelligent Vehicle Application
with Bio-inspired Vision Sensor | 8 pages, 14 figures | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The neuromorphic camera is a brand new vision sensor that has emerged in
recent years. In contrast to the conventional frame-based camera, the
neuromorphic camera only transmits local pixel-level changes at the time of its
occurrence and provides an asynchronous event stream with low latency. It has
the advantages of... | [
{
"created": "Thu, 5 Sep 2019 15:42:00 GMT",
"version": "v1"
}
] | 2019-09-06 | [
[
"Zhu",
"Dekai",
""
],
[
"Dong",
"Jinhu",
""
],
[
"Xu",
"Zhongcong",
""
],
[
"Ye",
"Canbo",
""
],
[
"Hu",
"Yinbai",
""
],
[
"Su",
"Hang",
""
],
[
"Liu",
"Zhengfa",
""
],
[
"Chen",
"Guang",
""... | The neuromorphic camera is a brand new vision sensor that has emerged in recent years. In contrast to the conventional frame-based camera, the neuromorphic camera only transmits local pixel-level changes at the time of its occurrence and provides an asynchronous event stream with low latency. It has the advantages of e... |
2010.11686 | Ren-Song Tsay | Tsung-Ying Lu, Hsu-Hsun Chin, Hsin-I Wu, and Ren-Song Tsay | A Very Compact Embedded CNN Processor Design Based on Logarithmic
Computing | null | null | null | null | cs.LG cs.AR cs.CV | http://creativecommons.org/licenses/by/4.0/ | In this paper, we propose a very compact embedded CNN processor design based
on a modified logarithmic computing method using very low bit-width
representation. Our high-quality CNN processor can easily fit into edge
devices. For Yolov2, our processing circuit takes only 0.15 mm2 using TSMC 40
nm cell library. The ke... | [
{
"created": "Tue, 13 Oct 2020 23:48:36 GMT",
"version": "v1"
}
] | 2020-10-23 | [
[
"Lu",
"Tsung-Ying",
""
],
[
"Chin",
"Hsu-Hsun",
""
],
[
"Wu",
"Hsin-I",
""
],
[
"Tsay",
"Ren-Song",
""
]
] | In this paper, we propose a very compact embedded CNN processor design based on a modified logarithmic computing method using very low bit-width representation. Our high-quality CNN processor can easily fit into edge devices. For Yolov2, our processing circuit takes only 0.15 mm2 using TSMC 40 nm cell library. The key ... |
1409.0932 | Jeffrey Wildman | Jeffrey Wildman, Steven Weber | On Characterizing the Local Pooling Factor of Greedy Maximal Scheduling
in Random Graphs | 16 pages, 7 figures, 1 table, 1 listing. Submitted on 2014-09-02 to
IEEE/ACM Transactions on Networking. Accepted on 2015-05-29 to IEEE/ACM
Transactions on Networking | null | 10.1109/TNET.2015.2451090 | null | cs.IT cs.NI math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The study of the optimality of low-complexity greedy scheduling techniques in
wireless communications networks is a very complex problem. The Local Pooling
(LoP) factor provides a single-parameter means of expressing the achievable
capacity region (and optimality) of one such scheme, greedy maximal scheduling
(GMS). ... | [
{
"created": "Wed, 3 Sep 2014 00:43:20 GMT",
"version": "v1"
},
{
"created": "Fri, 26 Jun 2015 23:26:09 GMT",
"version": "v2"
}
] | 2015-08-04 | [
[
"Wildman",
"Jeffrey",
""
],
[
"Weber",
"Steven",
""
]
] | The study of the optimality of low-complexity greedy scheduling techniques in wireless communications networks is a very complex problem. The Local Pooling (LoP) factor provides a single-parameter means of expressing the achievable capacity region (and optimality) of one such scheme, greedy maximal scheduling (GMS). Th... |
1504.07482 | Robin Haunschild | Robin Haunschild, Lutz Bornmann, and Loet Leydesdorff | Networks of reader and country status: An analysis of Mendeley reader
statistics | 26 pages, 6 figures (also web-based startable), and 2 tables | PeerJ CompSci, 32 (2015) | 10.7717/peerj-cs.32 | null | cs.DL cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The number of papers published in journals indexed by the Web of Science core
collection is steadily increasing. In recent years, nearly two million new
papers were published each year; somewhat more than one million papers when
primary research papers are considered only (articles and reviews are the
document types ... | [
{
"created": "Tue, 28 Apr 2015 14:08:06 GMT",
"version": "v1"
},
{
"created": "Mon, 27 Jul 2015 14:49:51 GMT",
"version": "v2"
},
{
"created": "Fri, 16 Oct 2015 13:32:40 GMT",
"version": "v3"
}
] | 2015-11-17 | [
[
"Haunschild",
"Robin",
""
],
[
"Bornmann",
"Lutz",
""
],
[
"Leydesdorff",
"Loet",
""
]
] | The number of papers published in journals indexed by the Web of Science core collection is steadily increasing. In recent years, nearly two million new papers were published each year; somewhat more than one million papers when primary research papers are considered only (articles and reviews are the document types wh... |
2207.11668 | Jiaxin Wang | Jiaxin Wang, Zexia Shi, Yadi Wei, Fang-Wei Fu | Constructions of linear codes with two or three weights from vectorial
dual-bent functions | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Linear codes with a few weights are an important class of codes in coding
theory and have attracted a lot of attention. In this paper, we present several
constructions of $q$-ary linear codes with two or three weights from vectorial
dual-bent functions, where $q$ is a power of an odd prime $p$. The weight
distributio... | [
{
"created": "Sun, 24 Jul 2022 05:37:20 GMT",
"version": "v1"
}
] | 2022-07-26 | [
[
"Wang",
"Jiaxin",
""
],
[
"Shi",
"Zexia",
""
],
[
"Wei",
"Yadi",
""
],
[
"Fu",
"Fang-Wei",
""
]
] | Linear codes with a few weights are an important class of codes in coding theory and have attracted a lot of attention. In this paper, we present several constructions of $q$-ary linear codes with two or three weights from vectorial dual-bent functions, where $q$ is a power of an odd prime $p$. The weight distributions... |
2205.14006 | Neha Thomas | Neha Thomas, Farimah Fazlollahi, Katherine J. Kuchenbecker, and Jeremy
D. Brown | The Utility of Synthetic Reflexes and Haptic Feedback for Upper-Limb
Prostheses in a Dexterous Task Without Direct Vision | null | null | 10.1109/TNSRE.2022.3217452. | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Individuals who use myoelectric upper-limb prostheses often rely heavily on
vision to complete their daily activities. They thus struggle in situations
where vision is overloaded, such as multitasking, or unavailable, such as poor
lighting conditions. Non-amputees can easily accomplish such tasks due to
tactile refle... | [
{
"created": "Fri, 27 May 2022 14:30:51 GMT",
"version": "v1"
}
] | 2022-11-18 | [
[
"Thomas",
"Neha",
""
],
[
"Fazlollahi",
"Farimah",
""
],
[
"Kuchenbecker",
"Katherine J.",
""
],
[
"Brown",
"Jeremy D.",
""
]
] | Individuals who use myoelectric upper-limb prostheses often rely heavily on vision to complete their daily activities. They thus struggle in situations where vision is overloaded, such as multitasking, or unavailable, such as poor lighting conditions. Non-amputees can easily accomplish such tasks due to tactile reflexe... |
1604.02949 | Marin\^es Guerreiro | J. J. Bernal, M. Guerreiro, J. J. Sim\'on | Ds-bounds for cyclic codes: new bounds for abelian codes | Submitted | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we develop a technique to extend any bound for cyclic codes
constructed from its defining sets (ds-bounds) to abelian (or multivariate)
codes. We use this technique to improve the searching of new bounds for abelian
codes.
| [
{
"created": "Mon, 11 Apr 2016 13:40:24 GMT",
"version": "v1"
}
] | 2016-04-12 | [
[
"Bernal",
"J. J.",
""
],
[
"Guerreiro",
"M.",
""
],
[
"Simón",
"J. J.",
""
]
] | In this paper we develop a technique to extend any bound for cyclic codes constructed from its defining sets (ds-bounds) to abelian (or multivariate) codes. We use this technique to improve the searching of new bounds for abelian codes. |
2402.02877 | Nataliia Bielova | Cristiana Santos, Nataliia Bielova (PRIVATICS), Vincent Roca
(PRIVATICS), Mathieu Cunche (PRIVATICS), Gilles Mertens (PRIVATICS), Karel
Kubicek (ETHZ), Hamed Haddadi | Feedback to the European Data Protection Board's Guidelines 2/2023 on
Technical Scope of Art. 5(3) of ePrivacy Directive | null | null | null | null | cs.CR cs.CY cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We very much welcome the EDPB's Guidelines. Please find hereunder our
feedback to the Guidelines 2/2023 on Technical Scope of Art. 5(3) of ePrivacy
Directive. Our comments are presented after a quotation from the proposed text
by the EDPB in a box.
| [
{
"created": "Mon, 5 Feb 2024 10:45:39 GMT",
"version": "v1"
}
] | 2024-02-06 | [
[
"Santos",
"Cristiana",
"",
"PRIVATICS"
],
[
"Bielova",
"Nataliia",
"",
"PRIVATICS"
],
[
"Roca",
"Vincent",
"",
"PRIVATICS"
],
[
"Cunche",
"Mathieu",
"",
"PRIVATICS"
],
[
"Mertens",
"Gilles",
"",
"PRIVATICS"
],
[
... | We very much welcome the EDPB's Guidelines. Please find hereunder our feedback to the Guidelines 2/2023 on Technical Scope of Art. 5(3) of ePrivacy Directive. Our comments are presented after a quotation from the proposed text by the EDPB in a box. |
2408.06152 | Xinqi Jin | Xinqi Jin, Zhui Zhu, Xikai Sun, Fan Dang, Jiangchuan Liu, Jingao Xu,
Kebin Liu, Xinlei Chen, Yunhao Liu | Palantir: Towards Efficient Super Resolution for Ultra-high-definition
Live Streaming | null | null | null | null | cs.MM cs.AI cs.CV cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Neural enhancement through super-resolution deep neural networks opens up new
possibilities for ultra-high-definition live streaming over existing encoding
and networking infrastructure. Yet, the heavy SR DNN inference overhead leads
to severe deployment challenges. To reduce the overhead, existing systems
propose to... | [
{
"created": "Mon, 12 Aug 2024 13:48:06 GMT",
"version": "v1"
}
] | 2024-08-13 | [
[
"Jin",
"Xinqi",
""
],
[
"Zhu",
"Zhui",
""
],
[
"Sun",
"Xikai",
""
],
[
"Dang",
"Fan",
""
],
[
"Liu",
"Jiangchuan",
""
],
[
"Xu",
"Jingao",
""
],
[
"Liu",
"Kebin",
""
],
[
"Chen",
"Xinlei",
"... | Neural enhancement through super-resolution deep neural networks opens up new possibilities for ultra-high-definition live streaming over existing encoding and networking infrastructure. Yet, the heavy SR DNN inference overhead leads to severe deployment challenges. To reduce the overhead, existing systems propose to a... |
1109.3781 | Zhongkui Li | Zhongkui Li, Zhisheng Duan, Lihua Xie, Xiangdong Liu | Distributed Robust Control of Linear Multi-Agent Systems with Parameter
Uncertainties | 17 pages, 3 figures. Submitted to International Journal of Robust and
Nonlinear Control | null | null | null | cs.SY math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper considers the distributed robust control problems of uncertain
linear multi-agent systems with undirected communication topologies. It is
assumed that the agents have identical nominal dynamics while subject to
different norm-bounded parameter uncertainties, leading to weakly heterogeneous
multi-agent syst... | [
{
"created": "Sat, 17 Sep 2011 14:01:20 GMT",
"version": "v1"
}
] | 2011-09-20 | [
[
"Li",
"Zhongkui",
""
],
[
"Duan",
"Zhisheng",
""
],
[
"Xie",
"Lihua",
""
],
[
"Liu",
"Xiangdong",
""
]
] | This paper considers the distributed robust control problems of uncertain linear multi-agent systems with undirected communication topologies. It is assumed that the agents have identical nominal dynamics while subject to different norm-bounded parameter uncertainties, leading to weakly heterogeneous multi-agent system... |
1908.02150 | Moslem Azamfar | Jay Lee, Jaskaran Singh, Moslem Azamfar | Industrial Artificial Intelligence | null | null | null | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Artificial Intelligence (AI) is a cognitive science to enables human to
explore many intelligent ways to model our sensing and reasoning processes.
Industrial AI is a systematic discipline to enable engineers to systematically
develop and deploy AI algorithms with repeating and consistent successes. In
this paper, th... | [
{
"created": "Sun, 4 Aug 2019 05:19:43 GMT",
"version": "v1"
},
{
"created": "Tue, 20 Aug 2019 01:06:22 GMT",
"version": "v2"
},
{
"created": "Tue, 22 Oct 2019 02:23:42 GMT",
"version": "v3"
}
] | 2019-10-23 | [
[
"Lee",
"Jay",
""
],
[
"Singh",
"Jaskaran",
""
],
[
"Azamfar",
"Moslem",
""
]
] | Artificial Intelligence (AI) is a cognitive science to enables human to explore many intelligent ways to model our sensing and reasoning processes. Industrial AI is a systematic discipline to enable engineers to systematically develop and deploy AI algorithms with repeating and consistent successes. In this paper, the ... |
2003.11641 | Rafet Durgut | Rafet Durgut | Improved Binary Artificial Bee Colony Algorithm | null | null | null | null | cs.NE cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Artificial Bee Colony (ABC) algorithm is an evolutionary optimization
algorithm based on swarm intelligence and inspired by the honey bees' food
search behavior. Since the ABC algorithm has been developed to achieve optimal
solutions by searching in the continuous search space, modification is required
to apply t... | [
{
"created": "Thu, 12 Mar 2020 17:22:52 GMT",
"version": "v1"
},
{
"created": "Mon, 20 Apr 2020 17:27:22 GMT",
"version": "v2"
}
] | 2020-04-21 | [
[
"Durgut",
"Rafet",
""
]
] | The Artificial Bee Colony (ABC) algorithm is an evolutionary optimization algorithm based on swarm intelligence and inspired by the honey bees' food search behavior. Since the ABC algorithm has been developed to achieve optimal solutions by searching in the continuous search space, modification is required to apply thi... |
2307.11031 | Neel Guha | Neel Guha, Mayee F. Chen, Kush Bhatia, Azalia Mirhoseini, Frederic
Sala, Christopher R\'e | Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot
Classification | 38 pages, 22 figures, 8 tables | null | null | null | cs.LG cs.CL | http://creativecommons.org/licenses/by/4.0/ | Recent work has shown that language models' (LMs) prompt-based learning
capabilities make them well suited for automating data labeling in domains
where manual annotation is expensive. The challenge is that while writing an
initial prompt is cheap, improving a prompt is costly -- practitioners often
require significa... | [
{
"created": "Thu, 20 Jul 2023 17:07:28 GMT",
"version": "v1"
}
] | 2023-07-21 | [
[
"Guha",
"Neel",
""
],
[
"Chen",
"Mayee F.",
""
],
[
"Bhatia",
"Kush",
""
],
[
"Mirhoseini",
"Azalia",
""
],
[
"Sala",
"Frederic",
""
],
[
"Ré",
"Christopher",
""
]
] | Recent work has shown that language models' (LMs) prompt-based learning capabilities make them well suited for automating data labeling in domains where manual annotation is expensive. The challenge is that while writing an initial prompt is cheap, improving a prompt is costly -- practitioners often require significant... |
2407.02606 | Yuan Sun | Yuan Sun, Jorge Ortiz | An AI-Based System Utilizing IoT-Enabled Ambient Sensors and LLMs for
Complex Activity Tracking | null | null | null | null | cs.HC | http://creativecommons.org/licenses/by/4.0/ | Complex activity recognition plays an important role in elderly care
assistance. However, the reasoning ability of edge devices is constrained by
the classic machine learning model capacity. In this paper, we present a
non-invasive ambient sensing system that can detect multiple activities and
apply large language mo... | [
{
"created": "Tue, 2 Jul 2024 18:46:05 GMT",
"version": "v1"
}
] | 2024-07-04 | [
[
"Sun",
"Yuan",
""
],
[
"Ortiz",
"Jorge",
""
]
] | Complex activity recognition plays an important role in elderly care assistance. However, the reasoning ability of edge devices is constrained by the classic machine learning model capacity. In this paper, we present a non-invasive ambient sensing system that can detect multiple activities and apply large language mode... |
2206.05668 | Jiaxiang Li | Jiaxiang Li and Shiqian Ma | Federated Learning on Riemannian Manifolds | null | null | null | null | cs.LG math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Federated learning (FL) has found many important applications in
smart-phone-APP based machine learning applications. Although many algorithms
have been studied for FL, to the best of our knowledge, algorithms for FL with
nonconvex constraints have not been studied. This paper studies FL over
Riemannian manifolds, wh... | [
{
"created": "Sun, 12 Jun 2022 05:41:23 GMT",
"version": "v1"
}
] | 2022-06-14 | [
[
"Li",
"Jiaxiang",
""
],
[
"Ma",
"Shiqian",
""
]
] | Federated learning (FL) has found many important applications in smart-phone-APP based machine learning applications. Although many algorithms have been studied for FL, to the best of our knowledge, algorithms for FL with nonconvex constraints have not been studied. This paper studies FL over Riemannian manifolds, whic... |
2401.14749 | Vasiliy Stanislavovich Usatyuk | Vasiliy Usatyuk, Denis Sapozhnikov, Sergey Egorov | Topology-Aware Exploration of Energy-Based Models Equilibrium: Toric
QC-LDPC Codes and Hyperbolic MET QC-LDPC Codes | 16 pages, 29 figures. arXiv admin note: text overlap with
arXiv:2307.15778 | null | null | null | cs.IT cs.AI cs.CV cs.LG cs.SY eess.SY math.IT | http://creativecommons.org/licenses/by/4.0/ | This paper presents a method for achieving equilibrium in the ISING
Hamiltonian when confronted with unevenly distributed charges on an irregular
grid. Employing (Multi-Edge) QC-LDPC codes and the Boltzmann machine, our
approach involves dimensionally expanding the system, substituting charges with
circulants, and re... | [
{
"created": "Fri, 26 Jan 2024 10:14:10 GMT",
"version": "v1"
}
] | 2024-01-29 | [
[
"Usatyuk",
"Vasiliy",
""
],
[
"Sapozhnikov",
"Denis",
""
],
[
"Egorov",
"Sergey",
""
]
] | This paper presents a method for achieving equilibrium in the ISING Hamiltonian when confronted with unevenly distributed charges on an irregular grid. Employing (Multi-Edge) QC-LDPC codes and the Boltzmann machine, our approach involves dimensionally expanding the system, substituting charges with circulants, and repr... |
2310.15529 | Sagar Sudhakara | Sagar Sudhakara | Symmetric Strategies for Multi-Access IoT Network Optimization: A Common
Information Approach | null | null | null | null | cs.MA cs.GT | http://creativecommons.org/licenses/by/4.0/ | In the context of IoT deployments, a multitude of devices concurrently
require network access to transmit data over a shared communication channel.
Employing symmetric strategies can effectively facilitate the collaborative use
of the communication medium among these devices. By adopting such strategies,
devices coll... | [
{
"created": "Tue, 24 Oct 2023 05:21:06 GMT",
"version": "v1"
}
] | 2023-10-25 | [
[
"Sudhakara",
"Sagar",
""
]
] | In the context of IoT deployments, a multitude of devices concurrently require network access to transmit data over a shared communication channel. Employing symmetric strategies can effectively facilitate the collaborative use of the communication medium among these devices. By adopting such strategies, devices collec... |
2106.14003 | Alexandros Filotheou | Alexandros Filotheou | Correspondenceless scan-to-map-scan matching of homoriented 2D scans for
mobile robot localisation | 19 pages, 19 figures | Rob. Auton. Syst. 149 (2022) 103957 | 10.1016/j.robot.2021.103957 | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | The objective of this study is improving the location estimate of a mobile
robot capable of motion on a plane and mounted with a conventional 2D LIDAR
sensor, given an initial guess for its location on a 2D map of its
surroundings. Documented herein is the theoretical reasoning behind solving a
matching problem betwe... | [
{
"created": "Sat, 26 Jun 2021 11:41:19 GMT",
"version": "v1"
}
] | 2023-07-27 | [
[
"Filotheou",
"Alexandros",
""
]
] | The objective of this study is improving the location estimate of a mobile robot capable of motion on a plane and mounted with a conventional 2D LIDAR sensor, given an initial guess for its location on a 2D map of its surroundings. Documented herein is the theoretical reasoning behind solving a matching problem between... |
2402.00048 | Bruno Sartini | Bruno Sartini | IICONGRAPH: improved Iconographic and Iconological Statements in
Knowledge Graphs | 18 pages | null | null | null | cs.AI | http://creativecommons.org/licenses/by/4.0/ | Iconography and iconology are fundamental domains when it comes to
understanding artifacts of cultural heritage. Iconography deals with the study
and interpretation of visual elements depicted in artifacts and their
symbolism, while iconology delves deeper, exploring the underlying cultural and
historical meanings. D... | [
{
"created": "Wed, 24 Jan 2024 15:44:16 GMT",
"version": "v1"
}
] | 2024-02-02 | [
[
"Sartini",
"Bruno",
""
]
] | Iconography and iconology are fundamental domains when it comes to understanding artifacts of cultural heritage. Iconography deals with the study and interpretation of visual elements depicted in artifacts and their symbolism, while iconology delves deeper, exploring the underlying cultural and historical meanings. Des... |
2306.11489 | Linyao Yang | Linyao Yang and Hongyang Chen and Zhao Li and Xiao Ding and Xindong Wu | Give Us the Facts: Enhancing Large Language Models with Knowledge Graphs
for Fact-aware Language Modeling | null | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recently, ChatGPT, a representative large language model (LLM), has gained
considerable attention due to its powerful emergent abilities. Some researchers
suggest that LLMs could potentially replace structured knowledge bases like
knowledge graphs (KGs) and function as parameterized knowledge bases. However,
while LL... | [
{
"created": "Tue, 20 Jun 2023 12:21:06 GMT",
"version": "v1"
},
{
"created": "Tue, 30 Jan 2024 12:11:45 GMT",
"version": "v2"
}
] | 2024-01-31 | [
[
"Yang",
"Linyao",
""
],
[
"Chen",
"Hongyang",
""
],
[
"Li",
"Zhao",
""
],
[
"Ding",
"Xiao",
""
],
[
"Wu",
"Xindong",
""
]
] | Recently, ChatGPT, a representative large language model (LLM), has gained considerable attention due to its powerful emergent abilities. Some researchers suggest that LLMs could potentially replace structured knowledge bases like knowledge graphs (KGs) and function as parameterized knowledge bases. However, while LLMs... |
1701.03568 | Jagadeesh Harshan | J. Harshan, Sang-Yoon Chang, Yih-Chun Hu | Insider-Attacks on Physical-Layer Group Secret-Key Generation in
Wireless Networks | To appear in the Proc. of IEEE WCNC 2017 | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Physical-layer group secret-key (GSK) generation is an effective way of
generating secret keys in wireless networks, wherein the nodes exploit inherent
randomness in the wireless channels to generate group keys, which are
subsequently applied to secure messages while broadcasting, relaying, and other
network-level co... | [
{
"created": "Fri, 13 Jan 2017 05:51:38 GMT",
"version": "v1"
}
] | 2017-01-16 | [
[
"Harshan",
"J.",
""
],
[
"Chang",
"Sang-Yoon",
""
],
[
"Hu",
"Yih-Chun",
""
]
] | Physical-layer group secret-key (GSK) generation is an effective way of generating secret keys in wireless networks, wherein the nodes exploit inherent randomness in the wireless channels to generate group keys, which are subsequently applied to secure messages while broadcasting, relaying, and other network-level comm... |
2011.02787 | Abhishek Gupta | Abhishek Gupta (1 and 2), Alexandrine Royer (1 and 3), Victoria Heath
(1 and 4), Connor Wright (1 and 5), Camylle Lanteigne (1, 6, and 7), Allison
Cohen (1, 8, and 9), Marianna Bergamaschi Ganapini (1 and 10), Muriam Fancy
(1, 11, and 12), Erick Galinkin (1 and 13), Ryan Khurana (1), Mo Akif (1),
Renjie Butalid... | The State of AI Ethics Report (October 2020) | 158 pages | null | null | null | cs.CY cs.AI | http://creativecommons.org/licenses/by/4.0/ | The 2nd edition of the Montreal AI Ethics Institute's The State of AI Ethics
captures the most relevant developments in the field of AI Ethics since July
2020. This report aims to help anyone, from machine learning experts to human
rights activists and policymakers, quickly digest and understand the
ever-changing dev... | [
{
"created": "Thu, 5 Nov 2020 12:36:16 GMT",
"version": "v1"
}
] | 2020-11-06 | [
[
"Gupta",
"Abhishek",
"",
"1 and 2"
],
[
"Royer",
"Alexandrine",
"",
"1 and 3"
],
[
"Heath",
"Victoria",
"",
"1 and 4"
],
[
"Wright",
"Connor",
"",
"1 and 5"
],
[
"Lanteigne",
"Camylle",
"",
"1, 6, and 7"
],
[
"... | The 2nd edition of the Montreal AI Ethics Institute's The State of AI Ethics captures the most relevant developments in the field of AI Ethics since July 2020. This report aims to help anyone, from machine learning experts to human rights activists and policymakers, quickly digest and understand the ever-changing devel... |
1907.03595 | Shuo Zhang | Shuo Zhang and Krisztian Balog | Recommending Related Tables | null | null | null | null | cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Tables are an extremely powerful visual and interactive tool for structuring
and manipulating data, making spreadsheet programs one of the most popular
computer applications. In this paper we introduce and address the task of
recommending related tables: given an input table, identifying and returning a
ranked list o... | [
{
"created": "Mon, 8 Jul 2019 13:20:28 GMT",
"version": "v1"
},
{
"created": "Thu, 25 Jul 2019 05:03:41 GMT",
"version": "v2"
}
] | 2019-07-26 | [
[
"Zhang",
"Shuo",
""
],
[
"Balog",
"Krisztian",
""
]
] | Tables are an extremely powerful visual and interactive tool for structuring and manipulating data, making spreadsheet programs one of the most popular computer applications. In this paper we introduce and address the task of recommending related tables: given an input table, identifying and returning a ranked list of ... |
1608.05104 | Nasim Souly | Nasim Souly and Mubarak Shah | Scene Labeling Through Knowledge-Based Rules Employing Constrained
Integer Linear Programing | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Scene labeling task is to segment the image into meaningful regions and
categorize them into classes of objects which comprised the image. Commonly
used methods typically find the local features for each segment and label them
using classifiers. Afterward, labeling is smoothed in order to make sure that
neighboring r... | [
{
"created": "Wed, 17 Aug 2016 21:14:51 GMT",
"version": "v1"
}
] | 2016-08-19 | [
[
"Souly",
"Nasim",
""
],
[
"Shah",
"Mubarak",
""
]
] | Scene labeling task is to segment the image into meaningful regions and categorize them into classes of objects which comprised the image. Commonly used methods typically find the local features for each segment and label them using classifiers. Afterward, labeling is smoothed in order to make sure that neighboring reg... |
1301.1873 | Alexandre Pinlou | Pascal Ochem and Alexandre Pinlou | Application of entropy compression in pattern avoidance | 11 pages | null | null | null | cs.DM math.CO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In combinatorics on words, a word $w$ over an alphabet $\Sigma$ is said to
avoid a pattern $p$ over an alphabet $\Delta$ if there is no factor $f$ of $w$
such that $f= (p)$ where $h: \Delta^*\to\Sigma^*$ is a non-erasing morphism. A
pattern $p$ is said to be $k$-avoidable if there exists an infinite word over a
$k$-l... | [
{
"created": "Wed, 9 Jan 2013 14:46:33 GMT",
"version": "v1"
}
] | 2013-01-10 | [
[
"Ochem",
"Pascal",
""
],
[
"Pinlou",
"Alexandre",
""
]
] | In combinatorics on words, a word $w$ over an alphabet $\Sigma$ is said to avoid a pattern $p$ over an alphabet $\Delta$ if there is no factor $f$ of $w$ such that $f= (p)$ where $h: \Delta^*\to\Sigma^*$ is a non-erasing morphism. A pattern $p$ is said to be $k$-avoidable if there exists an infinite word over a $k$-let... |
2302.03235 | Yu Duan | Yu Duan, Zhongfan Jia, Qian Li, Yi Zhong, Kaisheng Ma | Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid
Learning in RNNs | Published as a conference paper at ICLR 2023 | null | null | null | cs.NE cs.AI | http://creativecommons.org/licenses/by-sa/4.0/ | Rapidly learning from ongoing experiences and remembering past events with a
flexible memory system are two core capacities of biological intelligence.
While the underlying neural mechanisms are not fully understood, various
evidence supports that synaptic plasticity plays a critical role in memory
formation and fast... | [
{
"created": "Tue, 7 Feb 2023 03:42:42 GMT",
"version": "v1"
}
] | 2023-02-08 | [
[
"Duan",
"Yu",
""
],
[
"Jia",
"Zhongfan",
""
],
[
"Li",
"Qian",
""
],
[
"Zhong",
"Yi",
""
],
[
"Ma",
"Kaisheng",
""
]
] | Rapidly learning from ongoing experiences and remembering past events with a flexible memory system are two core capacities of biological intelligence. While the underlying neural mechanisms are not fully understood, various evidence supports that synaptic plasticity plays a critical role in memory formation and fast l... |
1205.3317 | Gianluigi Liva | Gianluigi Liva, Enrico Paolini, Michael Lentmaier, Marco Chiani | Spatially-Coupled Random Access on Graphs | To be presented at IEEE ISIT 2012, Boston | null | 10.1109/ISIT.2012.6284235 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we investigate the effect of spatial coupling applied to the
recently-proposed coded slotted ALOHA (CSA) random access protocol. Thanks to
the bridge between the graphical model describing the iterative interference
cancelation process of CSA over the random access frame and the erasure
recovery process... | [
{
"created": "Tue, 15 May 2012 10:39:06 GMT",
"version": "v1"
}
] | 2016-11-17 | [
[
"Liva",
"Gianluigi",
""
],
[
"Paolini",
"Enrico",
""
],
[
"Lentmaier",
"Michael",
""
],
[
"Chiani",
"Marco",
""
]
] | In this paper we investigate the effect of spatial coupling applied to the recently-proposed coded slotted ALOHA (CSA) random access protocol. Thanks to the bridge between the graphical model describing the iterative interference cancelation process of CSA over the random access frame and the erasure recovery process o... |
2012.06576 | Harrie Oosterhuis | Harrie Oosterhuis | Learning from User Interactions with Rankings: A Unification of the
Field | PhD Thesis of Harrie Oosterhuis defended at the University of
Amsterdam on November 27th 2020 | null | null | null | cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Ranking systems form the basis for online search engines and recommendation
services. They process large collections of items, for instance web pages or
e-commerce products, and present the user with a small ordered selection. The
goal of a ranking system is to help a user find the items they are looking for
with the... | [
{
"created": "Wed, 9 Dec 2020 14:47:59 GMT",
"version": "v1"
}
] | 2020-12-14 | [
[
"Oosterhuis",
"Harrie",
""
]
] | Ranking systems form the basis for online search engines and recommendation services. They process large collections of items, for instance web pages or e-commerce products, and present the user with a small ordered selection. The goal of a ranking system is to help a user find the items they are looking for with the l... |
2206.08330 | Timothy Castiglia Mr. | Timothy Castiglia, Anirban Das, Shiqiang Wang, Stacy Patterson | Compressed-VFL: Communication-Efficient Learning with Vertically
Partitioned Data | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose Compressed Vertical Federated Learning (C-VFL) for
communication-efficient training on vertically partitioned data. In C-VFL, a
server and multiple parties collaboratively train a model on their respective
features utilizing several local iterations and sharing compressed intermediate
results periodically.... | [
{
"created": "Thu, 16 Jun 2022 17:34:07 GMT",
"version": "v1"
},
{
"created": "Tue, 28 Mar 2023 22:03:09 GMT",
"version": "v2"
}
] | 2023-03-30 | [
[
"Castiglia",
"Timothy",
""
],
[
"Das",
"Anirban",
""
],
[
"Wang",
"Shiqiang",
""
],
[
"Patterson",
"Stacy",
""
]
] | We propose Compressed Vertical Federated Learning (C-VFL) for communication-efficient training on vertically partitioned data. In C-VFL, a server and multiple parties collaboratively train a model on their respective features utilizing several local iterations and sharing compressed intermediate results periodically. O... |
2211.05075 | Mohamad Fazelnia | Mohamad Fazelnia, Ahmet Okutan, Mehdi Mirakhorli | Supporting AI/ML Security Workers through an Adversarial Techniques,
Tools, and Common Knowledge (AI/ML ATT&CK) Framework | AI/ML ATT&CK | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper focuses on supporting AI/ML Security Workers -- professionals
involved in the development and deployment of secure AI-enabled software
systems. It presents AI/ML Adversarial Techniques, Tools, and Common Knowledge
(AI/ML ATT&CK) framework to enable AI/ML Security Workers intuitively to
explore offensive an... | [
{
"created": "Wed, 9 Nov 2022 18:07:10 GMT",
"version": "v1"
}
] | 2022-11-10 | [
[
"Fazelnia",
"Mohamad",
""
],
[
"Okutan",
"Ahmet",
""
],
[
"Mirakhorli",
"Mehdi",
""
]
] | This paper focuses on supporting AI/ML Security Workers -- professionals involved in the development and deployment of secure AI-enabled software systems. It presents AI/ML Adversarial Techniques, Tools, and Common Knowledge (AI/ML ATT&CK) framework to enable AI/ML Security Workers intuitively to explore offensive and ... |
1607.06795 | Jesse Shore | Jesse Shore, Jiye Baek, and Chrysanthos Dellarocas | Network structure and patterns of information diversity on Twitter | null | null | null | null | cs.SI physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Social media have great potential to support diverse information sharing, but
there is widespread concern that platforms like Twitter do not result in
communication between those who hold contradictory viewpoints. Because users
can choose whom to follow, prior research suggests that social media users
exist in 'echo ... | [
{
"created": "Fri, 22 Jul 2016 19:13:56 GMT",
"version": "v1"
},
{
"created": "Mon, 11 Dec 2017 18:17:11 GMT",
"version": "v2"
}
] | 2017-12-12 | [
[
"Shore",
"Jesse",
""
],
[
"Baek",
"Jiye",
""
],
[
"Dellarocas",
"Chrysanthos",
""
]
] | Social media have great potential to support diverse information sharing, but there is widespread concern that platforms like Twitter do not result in communication between those who hold contradictory viewpoints. Because users can choose whom to follow, prior research suggests that social media users exist in 'echo ch... |
2302.14339 | Shengjie Wang | Haotian Xu and Shengjie Wang and Zhaolei Wang and Yunzhe Zhang and
Qing Zhuo and Yang Gao and Tao Zhang | Efficient Exploration Using Extra Safety Budget in Constrained Policy
Optimization | 7 pages, 8 figures | null | null | null | cs.RO cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Reinforcement learning (RL) has achieved promising results on most robotic
control tasks. Safety of learning-based controllers is an essential notion of
ensuring the effectiveness of the controllers. Current methods adopt whole
consistency constraints during the training, thus resulting in inefficient
exploration in ... | [
{
"created": "Tue, 28 Feb 2023 06:16:34 GMT",
"version": "v1"
},
{
"created": "Fri, 28 Jul 2023 01:54:26 GMT",
"version": "v2"
}
] | 2023-07-31 | [
[
"Xu",
"Haotian",
""
],
[
"Wang",
"Shengjie",
""
],
[
"Wang",
"Zhaolei",
""
],
[
"Zhang",
"Yunzhe",
""
],
[
"Zhuo",
"Qing",
""
],
[
"Gao",
"Yang",
""
],
[
"Zhang",
"Tao",
""
]
] | Reinforcement learning (RL) has achieved promising results on most robotic control tasks. Safety of learning-based controllers is an essential notion of ensuring the effectiveness of the controllers. Current methods adopt whole consistency constraints during the training, thus resulting in inefficient exploration in th... |
2109.04108 | Manqing Dong | Manqing Dong, Chunguang Pan, and Zhipeng Luo | MapRE: An Effective Semantic Mapping Approach for Low-resource Relation
Extraction | Accepted as a long paper in the main conference of EMNLP 2021 | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Neural relation extraction models have shown promising results in recent
years; however, the model performance drops dramatically given only a few
training samples. Recent works try leveraging the advance in few-shot learning
to solve the low resource problem, where they train label-agnostic models to
directly compar... | [
{
"created": "Thu, 9 Sep 2021 09:02:23 GMT",
"version": "v1"
}
] | 2021-09-10 | [
[
"Dong",
"Manqing",
""
],
[
"Pan",
"Chunguang",
""
],
[
"Luo",
"Zhipeng",
""
]
] | Neural relation extraction models have shown promising results in recent years; however, the model performance drops dramatically given only a few training samples. Recent works try leveraging the advance in few-shot learning to solve the low resource problem, where they train label-agnostic models to directly compare ... |
2009.14395 | Shamil Chollampatt | Shamil Chollampatt, Raymond Hendy Susanto, Liling Tan, Ewa Szymanska | Can Automatic Post-Editing Improve NMT? | In EMNLP 2020 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Automatic post-editing (APE) aims to improve machine translations, thereby
reducing human post-editing effort. APE has had notable success when used with
statistical machine translation (SMT) systems but has not been as successful
over neural machine translation (NMT) systems. This has raised questions on the
relevan... | [
{
"created": "Wed, 30 Sep 2020 02:34:19 GMT",
"version": "v1"
}
] | 2020-10-01 | [
[
"Chollampatt",
"Shamil",
""
],
[
"Susanto",
"Raymond Hendy",
""
],
[
"Tan",
"Liling",
""
],
[
"Szymanska",
"Ewa",
""
]
] | Automatic post-editing (APE) aims to improve machine translations, thereby reducing human post-editing effort. APE has had notable success when used with statistical machine translation (SMT) systems but has not been as successful over neural machine translation (NMT) systems. This has raised questions on the relevance... |
1906.12017 | Yansheng Wu | Yansheng Wu, Jong Yoon Hyun and Qin Yue | Binary optimal linear codes from posets of the disjoint union of two
chains | 4 pages | null | null | null | cs.IT math.CO math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recently, Chang and Hyun obtained some classes of binary optimal codes via
simplicial complexes. In this letter, we utilize posets of the disjoint union
of two chains to construct binary optimal linear codes.
| [
{
"created": "Fri, 28 Jun 2019 02:13:26 GMT",
"version": "v1"
}
] | 2019-07-01 | [
[
"Wu",
"Yansheng",
""
],
[
"Hyun",
"Jong Yoon",
""
],
[
"Yue",
"Qin",
""
]
] | Recently, Chang and Hyun obtained some classes of binary optimal codes via simplicial complexes. In this letter, we utilize posets of the disjoint union of two chains to construct binary optimal linear codes. |
1910.10777 | Hagit Grushka-Cohen | Hagit Grushka-Cohen, Ofer Biller, Oded Sofer, Lior Rokach and Bracha
Shapira | Diversifying Database Activity Monitoring with Bandits | null | null | null | null | cs.LG cs.AI stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Database activity monitoring (DAM) systems are commonly used by organizations
to protect the organizational data, knowledge and intellectual properties. In
order to protect organizations database DAM systems have two main roles,
monitoring (documenting activity) and alerting to anomalous activity. Due to
high-velocit... | [
{
"created": "Wed, 23 Oct 2019 19:39:51 GMT",
"version": "v1"
}
] | 2019-10-25 | [
[
"Grushka-Cohen",
"Hagit",
""
],
[
"Biller",
"Ofer",
""
],
[
"Sofer",
"Oded",
""
],
[
"Rokach",
"Lior",
""
],
[
"Shapira",
"Bracha",
""
]
] | Database activity monitoring (DAM) systems are commonly used by organizations to protect the organizational data, knowledge and intellectual properties. In order to protect organizations database DAM systems have two main roles, monitoring (documenting activity) and alerting to anomalous activity. Due to high-velocity ... |
1904.06307 | Shikui Tu | Wenjing Huang, Shikui Tu and Lei Xu | Revisit Lmser and its further development based on convolutional layers | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Proposed in 1991, Least Mean Square Error Reconstruction for self-organizing
network, shortly Lmser, was a further development of the traditional
auto-encoder (AE) by folding the architecture with respect to the central
coding layer and thus leading to the features of symmetric weights and neurons,
as well as jointly... | [
{
"created": "Fri, 12 Apr 2019 16:26:04 GMT",
"version": "v1"
}
] | 2019-04-15 | [
[
"Huang",
"Wenjing",
""
],
[
"Tu",
"Shikui",
""
],
[
"Xu",
"Lei",
""
]
] | Proposed in 1991, Least Mean Square Error Reconstruction for self-organizing network, shortly Lmser, was a further development of the traditional auto-encoder (AE) by folding the architecture with respect to the central coding layer and thus leading to the features of symmetric weights and neurons, as well as jointly s... |
2106.15711 | Christopher Xie | Christopher Xie, Arsalan Mousavian, Yu Xiang, Dieter Fox | RICE: Refining Instance Masks in Cluttered Environments with Graph
Neural Networks | null | null | null | null | cs.CV cs.RO | http://creativecommons.org/licenses/by/4.0/ | Segmenting unseen object instances in cluttered environments is an important
capability that robots need when functioning in unstructured environments.
While previous methods have exhibited promising results, they still tend to
provide incorrect results in highly cluttered scenes. We postulate that a
network architec... | [
{
"created": "Tue, 29 Jun 2021 20:29:29 GMT",
"version": "v1"
}
] | 2021-07-01 | [
[
"Xie",
"Christopher",
""
],
[
"Mousavian",
"Arsalan",
""
],
[
"Xiang",
"Yu",
""
],
[
"Fox",
"Dieter",
""
]
] | Segmenting unseen object instances in cluttered environments is an important capability that robots need when functioning in unstructured environments. While previous methods have exhibited promising results, they still tend to provide incorrect results in highly cluttered scenes. We postulate that a network architectu... |
1102.2616 | William Jackson | Sanjay Bansal and Sanjeev Sharma | An Improved Multiple Faults Reassignment based Recovery in Cluster
Computing | Online at http://journalofcomputing.org | Journal of Computing, Volume 2, Issue 11, November 2010, eISSN
2151-9617 | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In case of multiple node failures performance becomes very low as compare to
single node failure. Failures of nodes in cluster computing can be tolerated by
multiple fault tolerant computing. Existing recovery schemes are efficient for
single fault but not with multiple faults. Recovery scheme proposed in this
paper ... | [
{
"created": "Sun, 13 Feb 2011 16:50:30 GMT",
"version": "v1"
}
] | 2011-02-15 | [
[
"Bansal",
"Sanjay",
""
],
[
"Sharma",
"Sanjeev",
""
]
] | In case of multiple node failures performance becomes very low as compare to single node failure. Failures of nodes in cluster computing can be tolerated by multiple fault tolerant computing. Existing recovery schemes are efficient for single fault but not with multiple faults. Recovery scheme proposed in this paper ha... |
2008.13544 | Hamada Zahera | Hamada M. Zahera, Rricha Jalota, Mohamed A. Sherif, Axel N. Ngomo | I-AID: Identifying Actionable Information from Disaster-related Tweets | null | null | null | null | cs.CL cs.AI cs.IR cs.LG stat.ML | http://creativecommons.org/licenses/by-sa/4.0/ | Social media plays a significant role in disaster management by providing
valuable data about affected people, donations and help requests. Recent
studies highlight the need to filter information on social media into
fine-grained content labels. However, identifying useful information from
massive amounts of social m... | [
{
"created": "Tue, 4 Aug 2020 19:07:50 GMT",
"version": "v1"
},
{
"created": "Wed, 19 May 2021 02:32:43 GMT",
"version": "v2"
}
] | 2021-05-20 | [
[
"Zahera",
"Hamada M.",
""
],
[
"Jalota",
"Rricha",
""
],
[
"Sherif",
"Mohamed A.",
""
],
[
"Ngomo",
"Axel N.",
""
]
] | Social media plays a significant role in disaster management by providing valuable data about affected people, donations and help requests. Recent studies highlight the need to filter information on social media into fine-grained content labels. However, identifying useful information from massive amounts of social med... |
2003.10783 | Kengo Tajiri | Kengo Tajiri and Yasuhiro Ikeda and Yuusuke Nakano and Keishiro
Watanabe | Dividing Deep Learning Model for Continuous Anomaly Detection of
Inconsistent ICT Systems | Accepted for IEEE/IFIP Network Operations and Management Symposium
2020 (NOMS2020) | null | null | null | cs.NI cs.LG stat.AP stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Health monitoring is important for maintaining reliable information and
communications technology (ICT) systems. Anomaly detection methods based on
machine learning, which train a model for describing "normality" are promising
for monitoring the state of ICT systems. However, these methods cannot be used
when the typ... | [
{
"created": "Tue, 24 Mar 2020 11:32:00 GMT",
"version": "v1"
}
] | 2020-03-25 | [
[
"Tajiri",
"Kengo",
""
],
[
"Ikeda",
"Yasuhiro",
""
],
[
"Nakano",
"Yuusuke",
""
],
[
"Watanabe",
"Keishiro",
""
]
] | Health monitoring is important for maintaining reliable information and communications technology (ICT) systems. Anomaly detection methods based on machine learning, which train a model for describing "normality" are promising for monitoring the state of ICT systems. However, these methods cannot be used when the type ... |
2403.18513 | Hendrik Molter | George B. Mertzios and Hendrik Molter and Paul G. Spirakis | Realizing temporal transportation trees | null | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we study the complexity of the \textit{periodic temporal graph
realization} problem with respect to upper bounds on the fastest path durations
among its vertices. This constraint with respect to upper bounds appears
naturally in transportation network design applications where, for example, a
road netw... | [
{
"created": "Wed, 27 Mar 2024 12:44:27 GMT",
"version": "v1"
}
] | 2024-03-28 | [
[
"Mertzios",
"George B.",
""
],
[
"Molter",
"Hendrik",
""
],
[
"Spirakis",
"Paul G.",
""
]
] | In this paper, we study the complexity of the \textit{periodic temporal graph realization} problem with respect to upper bounds on the fastest path durations among its vertices. This constraint with respect to upper bounds appears naturally in transportation network design applications where, for example, a road networ... |
1105.2003 | Justin Thaler | Graham Cormode, Michael Mitzenmacher, Justin Thaler | Practical Verified Computation with Streaming Interactive Proofs | 39 pages, 12 figures, 2 tables. Accepted to ITCS 2012 | null | null | null | cs.DS cs.CC cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | When delegating computation to a service provider, as in cloud computing, we
seek some reassurance that the output is correct and complete. Yet recomputing
the output as a check is inefficient and expensive, and it may not even be
feasible to store all the data locally. We are therefore interested in proof
systems wh... | [
{
"created": "Tue, 10 May 2011 17:34:25 GMT",
"version": "v1"
},
{
"created": "Tue, 31 May 2011 18:17:03 GMT",
"version": "v2"
},
{
"created": "Fri, 12 Aug 2011 15:20:31 GMT",
"version": "v3"
},
{
"created": "Fri, 25 Nov 2011 22:14:11 GMT",
"version": "v4"
},
{
"c... | 2015-03-19 | [
[
"Cormode",
"Graham",
""
],
[
"Mitzenmacher",
"Michael",
""
],
[
"Thaler",
"Justin",
""
]
] | When delegating computation to a service provider, as in cloud computing, we seek some reassurance that the output is correct and complete. Yet recomputing the output as a check is inefficient and expensive, and it may not even be feasible to store all the data locally. We are therefore interested in proof systems whic... |
1602.07449 | Alessandro Ugolini | Stefano Buzzi, Carmen D'Andrea, Tommaso Foggi, Alessandro Ugolini,
Giulio Colavolpe | Spectral Efficiency of MIMO Millimeter-Wave Links with Single-Carrier
Modulation for 5G Networks | 8 pages, 8 figures, to appear in Proc. 20th International ITG
Workshop on Smart Antennas (WSA2016) | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Future wireless networks will extensively rely upon bandwidths centered on
carrier frequencies larger than 10GHz. Indeed, recent research has shown that,
despite the large path-loss, millimeter wave (mmWave) frequencies can be
successfully exploited to transmit very large data-rates over short distances
to slowly mov... | [
{
"created": "Wed, 24 Feb 2016 09:49:57 GMT",
"version": "v1"
}
] | 2016-02-25 | [
[
"Buzzi",
"Stefano",
""
],
[
"D'Andrea",
"Carmen",
""
],
[
"Foggi",
"Tommaso",
""
],
[
"Ugolini",
"Alessandro",
""
],
[
"Colavolpe",
"Giulio",
""
]
] | Future wireless networks will extensively rely upon bandwidths centered on carrier frequencies larger than 10GHz. Indeed, recent research has shown that, despite the large path-loss, millimeter wave (mmWave) frequencies can be successfully exploited to transmit very large data-rates over short distances to slowly movin... |
2102.06439 | Sihao Sun | Bram Strack van Schijndel, Sihao Sun and Coen de Visser | Fast Fault Detection on a Quadrotor using Onboard Sensors and a Kalman
Filter Approach | 7 pages, 12 figures | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents a novel method for fast and robust detection of actuator
failures on quadrotors. The proposed algorithm has very little model
dependency. A Kalman filter estimator estimates a stochastic effectiveness
factor for every actuator, using only onboard RPM, gyro and accelerometer
measurements. Then, a h... | [
{
"created": "Fri, 12 Feb 2021 10:55:56 GMT",
"version": "v1"
}
] | 2021-02-15 | [
[
"van Schijndel",
"Bram Strack",
""
],
[
"Sun",
"Sihao",
""
],
[
"de Visser",
"Coen",
""
]
] | This paper presents a novel method for fast and robust detection of actuator failures on quadrotors. The proposed algorithm has very little model dependency. A Kalman filter estimator estimates a stochastic effectiveness factor for every actuator, using only onboard RPM, gyro and accelerometer measurements. Then, a hyp... |
2205.09402 | Sarish Nigade | Archit P. Kane, Ashutosh S. Kore, Advait N. Khandale, Sarish S.
Nigade, Pranjali P. Joshi | Predictive Maintenance using Machine Learning | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Predictive maintenance (PdM) is a concept, which is implemented to
effectively manage maintenance plans of the assets by predicting their failures
with data driven techniques. In these scenarios, data is collected over a
certain period of time to monitor the state of equipment. The objective is to
find some correlati... | [
{
"created": "Thu, 19 May 2022 09:05:37 GMT",
"version": "v1"
}
] | 2022-05-20 | [
[
"Kane",
"Archit P.",
""
],
[
"Kore",
"Ashutosh S.",
""
],
[
"Khandale",
"Advait N.",
""
],
[
"Nigade",
"Sarish S.",
""
],
[
"Joshi",
"Pranjali P.",
""
]
] | Predictive maintenance (PdM) is a concept, which is implemented to effectively manage maintenance plans of the assets by predicting their failures with data driven techniques. In these scenarios, data is collected over a certain period of time to monitor the state of equipment. The objective is to find some correlation... |
2202.08429 | Tanu Malik | Naga Nithin Manne, Shilvi Satpati, Tanu Malik, Amitabha Bagchi, Ashish
Gehani and Amitabh Chaudhary | CHEX: Multiversion Replay with Ordered Checkpoints | 13 pages, 13 figures, VLDB | null | null | null | cs.DB | http://creativecommons.org/licenses/by-nc-nd/4.0/ | In scientific computing and data science disciplines, it is often necessary
to share application workflows and repeat results. Current tools containerize
application workflows, and share the resulting container for repeating results.
These tools, due to containerization, do improve sharing of results. However,
they d... | [
{
"created": "Thu, 17 Feb 2022 03:17:49 GMT",
"version": "v1"
}
] | 2022-02-18 | [
[
"Manne",
"Naga Nithin",
""
],
[
"Satpati",
"Shilvi",
""
],
[
"Malik",
"Tanu",
""
],
[
"Bagchi",
"Amitabha",
""
],
[
"Gehani",
"Ashish",
""
],
[
"Chaudhary",
"Amitabh",
""
]
] | In scientific computing and data science disciplines, it is often necessary to share application workflows and repeat results. Current tools containerize application workflows, and share the resulting container for repeating results. These tools, due to containerization, do improve sharing of results. However, they do ... |
1303.1399 | Owen Stephens | Pawe{\l} Sobocinski and Owen Stephens | Reachability via Compositionality in Petri nets | null | null | null | null | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce a novel technique for checking reachability in Petri nets that
relies on a recently introduced compositional algebra of nets. We prove that
the technique is correct, and discuss our implementation. We report promising
experimental results on some well-known examples.
| [
{
"created": "Wed, 6 Mar 2013 17:36:14 GMT",
"version": "v1"
},
{
"created": "Mon, 21 Apr 2014 18:55:39 GMT",
"version": "v2"
}
] | 2014-04-22 | [
[
"Sobocinski",
"Paweł",
""
],
[
"Stephens",
"Owen",
""
]
] | We introduce a novel technique for checking reachability in Petri nets that relies on a recently introduced compositional algebra of nets. We prove that the technique is correct, and discuss our implementation. We report promising experimental results on some well-known examples. |
2203.04089 | Saurav Keshari Aryal PhD | Saurav K. Aryal, Peter A. Keiller | Associating eHealth Policies and National Data Privacy Regulations | null | null | null | null | cs.CY cs.CR | http://creativecommons.org/licenses/by/4.0/ | As electronic data becomes the lifeline of modern society, privacy concerns
increase. These concerns are reflected by the European Union's enactment of the
General Data Protection Regulation (GDPR), one of the most comprehensive and
robust privacy regulations globally. This project aims to evaluate and
highlight asso... | [
{
"created": "Sun, 27 Feb 2022 21:22:48 GMT",
"version": "v1"
}
] | 2022-03-09 | [
[
"Aryal",
"Saurav K.",
""
],
[
"Keiller",
"Peter A.",
""
]
] | As electronic data becomes the lifeline of modern society, privacy concerns increase. These concerns are reflected by the European Union's enactment of the General Data Protection Regulation (GDPR), one of the most comprehensive and robust privacy regulations globally. This project aims to evaluate and highlight associ... |
2403.16638 | Gang Cao | Jianfa Bai, Man Lin, Gang Cao | AI-Generated Video Detection via Spatio-Temporal Anomaly Learning | null | null | null | null | cs.CV cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The advancement of generation models has led to the emergence of highly
realistic artificial intelligence (AI)-generated videos. Malicious users can
easily create non-existent videos to spread false information. This letter
proposes an effective AI-generated video detection (AIGVDet) scheme by
capturing the forensic ... | [
{
"created": "Mon, 25 Mar 2024 11:26:18 GMT",
"version": "v1"
}
] | 2024-03-26 | [
[
"Bai",
"Jianfa",
""
],
[
"Lin",
"Man",
""
],
[
"Cao",
"Gang",
""
]
] | The advancement of generation models has led to the emergence of highly realistic artificial intelligence (AI)-generated videos. Malicious users can easily create non-existent videos to spread false information. This letter proposes an effective AI-generated video detection (AIGVDet) scheme by capturing the forensic tr... |
1603.02345 | Byeongkeun Kang | Byeongkeun Kang, Kar-Han Tan, Nan Jiang, Hung-Shuo Tai, Daniel
Tretter, and Truong Q. Nguyen | Hand Segmentation for Hand-Object Interaction from Depth map | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Hand segmentation for hand-object interaction is a necessary preprocessing
step in many applications such as augmented reality, medical application, and
human-robot interaction. However, typical methods are based on color
information which is not robust to objects with skin color, skin pigment
difference, and light c... | [
{
"created": "Tue, 8 Mar 2016 00:22:59 GMT",
"version": "v1"
},
{
"created": "Tue, 20 Sep 2016 01:02:20 GMT",
"version": "v2"
},
{
"created": "Wed, 10 Jan 2018 03:20:52 GMT",
"version": "v3"
}
] | 2018-01-11 | [
[
"Kang",
"Byeongkeun",
""
],
[
"Tan",
"Kar-Han",
""
],
[
"Jiang",
"Nan",
""
],
[
"Tai",
"Hung-Shuo",
""
],
[
"Tretter",
"Daniel",
""
],
[
"Nguyen",
"Truong Q.",
""
]
] | Hand segmentation for hand-object interaction is a necessary preprocessing step in many applications such as augmented reality, medical application, and human-robot interaction. However, typical methods are based on color information which is not robust to objects with skin color, skin pigment difference, and light con... |
1610.08904 | Chen Huang | Chen Huang, Chen Change Loy, Xiaoou Tang | Local Similarity-Aware Deep Feature Embedding | 9 pages, 4 figures, 2 tables. Accepted to NIPS 2016 | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Existing deep embedding methods in vision tasks are capable of learning a
compact Euclidean space from images, where Euclidean distances correspond to a
similarity metric. To make learning more effective and efficient, hard sample
mining is usually employed, with samples identified through computing the
Euclidean fea... | [
{
"created": "Thu, 27 Oct 2016 17:51:18 GMT",
"version": "v1"
}
] | 2016-10-28 | [
[
"Huang",
"Chen",
""
],
[
"Loy",
"Chen Change",
""
],
[
"Tang",
"Xiaoou",
""
]
] | Existing deep embedding methods in vision tasks are capable of learning a compact Euclidean space from images, where Euclidean distances correspond to a similarity metric. To make learning more effective and efficient, hard sample mining is usually employed, with samples identified through computing the Euclidean featu... |
1207.0369 | Benjamin Doerr | Benjamin Doerr, Daniel Johannsen, Timo K\"otzing, Frank Neumann,
Madeleine Theile | More Effective Crossover Operators for the All-Pairs Shortest Path
Problem | null | null | null | null | cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The all-pairs shortest path problem is the first non-artificial problem for
which it was shown that adding crossover can significantly speed up a
mutation-only evolutionary algorithm. Recently, the analysis of this algorithm
was refined and it was shown to have an expected optimization time (w.r.t. the
number of fitn... | [
{
"created": "Mon, 2 Jul 2012 13:14:14 GMT",
"version": "v1"
}
] | 2015-03-20 | [
[
"Doerr",
"Benjamin",
""
],
[
"Johannsen",
"Daniel",
""
],
[
"Kötzing",
"Timo",
""
],
[
"Neumann",
"Frank",
""
],
[
"Theile",
"Madeleine",
""
]
] | The all-pairs shortest path problem is the first non-artificial problem for which it was shown that adding crossover can significantly speed up a mutation-only evolutionary algorithm. Recently, the analysis of this algorithm was refined and it was shown to have an expected optimization time (w.r.t. the number of fitnes... |
2206.10381 | Yu Ma | Kimberly Villalobos Carballo, Liangyuan Na, Yu Ma, L\'eonard
Boussioux, Cynthia Zeng, Luis R. Soenksen, Dimitris Bertsimas | TabText: A Flexible and Contextual Approach to Tabular Data
Representation | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Tabular data is essential for applying machine learning tasks across various
industries. However, traditional data processing methods do not fully utilize
all the information available in the tables, ignoring important contextual
information such as column header descriptions. In addition, pre-processing
data into a ... | [
{
"created": "Tue, 21 Jun 2022 13:28:57 GMT",
"version": "v1"
},
{
"created": "Mon, 15 Aug 2022 14:54:05 GMT",
"version": "v2"
},
{
"created": "Tue, 18 Jul 2023 13:55:14 GMT",
"version": "v3"
},
{
"created": "Fri, 21 Jul 2023 20:34:02 GMT",
"version": "v4"
}
] | 2023-07-25 | [
[
"Carballo",
"Kimberly Villalobos",
""
],
[
"Na",
"Liangyuan",
""
],
[
"Ma",
"Yu",
""
],
[
"Boussioux",
"Léonard",
""
],
[
"Zeng",
"Cynthia",
""
],
[
"Soenksen",
"Luis R.",
""
],
[
"Bertsimas",
"Dimitris",
"... | Tabular data is essential for applying machine learning tasks across various industries. However, traditional data processing methods do not fully utilize all the information available in the tables, ignoring important contextual information such as column header descriptions. In addition, pre-processing data into a ta... |
2210.04772 | Andrea Mazzullo | Massimo Carraturo, Andrea Mazzullo | An Ontology for Defect Detection in Metal Additive Manufacturing | null | null | null | null | cs.AI cs.LO | http://creativecommons.org/licenses/by-sa/4.0/ | A key challenge for Industry 4.0 applications is to develop control systems
for automated manufacturing services that are capable of addressing both data
integration and semantic interoperability issues, as well as monitoring and
decision making tasks. To address such an issue in advanced manufacturing
systems, princ... | [
{
"created": "Thu, 29 Sep 2022 13:35:25 GMT",
"version": "v1"
}
] | 2022-10-11 | [
[
"Carraturo",
"Massimo",
""
],
[
"Mazzullo",
"Andrea",
""
]
] | A key challenge for Industry 4.0 applications is to develop control systems for automated manufacturing services that are capable of addressing both data integration and semantic interoperability issues, as well as monitoring and decision making tasks. To address such an issue in advanced manufacturing systems, princip... |
2211.12640 | Shahryar Zehtabi | Shahryar Zehtabi, Seyyedali Hosseinalipour, Christopher G. Brinton | Event-Triggered Decentralized Federated Learning over
Resource-Constrained Edge Devices | 23 pages. arXiv admin note: text overlap with arXiv:2204.03726 | null | null | null | cs.LG cs.DC math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Federated learning (FL) is a technique for distributed machine learning (ML),
in which edge devices carry out local model training on their individual
datasets. In traditional FL algorithms, trained models at the edge are
periodically sent to a central server for aggregation, utilizing a star
topology as the underlyi... | [
{
"created": "Wed, 23 Nov 2022 00:04:05 GMT",
"version": "v1"
}
] | 2022-11-24 | [
[
"Zehtabi",
"Shahryar",
""
],
[
"Hosseinalipour",
"Seyyedali",
""
],
[
"Brinton",
"Christopher G.",
""
]
] | Federated learning (FL) is a technique for distributed machine learning (ML), in which edge devices carry out local model training on their individual datasets. In traditional FL algorithms, trained models at the edge are periodically sent to a central server for aggregation, utilizing a star topology as the underlying... |
2006.03906 | Dominik Baumann | Dominik Baumann, Friedrich Solowjow, Karl H. Johansson, and Sebastian
Trimpe | Identifying Causal Structure in Dynamical Systems | Accepted final versions to appear in the Transactions on Machine
Learning Research | null | null | null | cs.LG cs.SY eess.SY stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Mathematical models are fundamental building blocks in the design of
dynamical control systems. As control systems are becoming increasingly complex
and networked, approaches for obtaining such models based on first principles
reach their limits. Data-driven methods provide an alternative. However,
without structural... | [
{
"created": "Sat, 6 Jun 2020 16:17:07 GMT",
"version": "v1"
},
{
"created": "Mon, 18 Jul 2022 06:29:31 GMT",
"version": "v2"
}
] | 2022-07-19 | [
[
"Baumann",
"Dominik",
""
],
[
"Solowjow",
"Friedrich",
""
],
[
"Johansson",
"Karl H.",
""
],
[
"Trimpe",
"Sebastian",
""
]
] | Mathematical models are fundamental building blocks in the design of dynamical control systems. As control systems are becoming increasingly complex and networked, approaches for obtaining such models based on first principles reach their limits. Data-driven methods provide an alternative. However, without structural k... |
1811.12360 | Daniel Severin Dr. | Manoel Camp\^elo, Daniel Sever\'in | The polytope of legal sequences | null | null | null | null | cs.DM math.CO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A sequence of vertices in a graph is called a \emph{(total) legal dominating
sequence} if every vertex in the sequence (total) dominates at least one vertex
not dominated by those ones that precede it, and at the end all vertices of the
graph are (totally) dominated. The \emph{Grundy (total) domination number} of a
g... | [
{
"created": "Thu, 29 Nov 2018 18:11:35 GMT",
"version": "v1"
}
] | 2018-11-30 | [
[
"Campêlo",
"Manoel",
""
],
[
"Severín",
"Daniel",
""
]
] | A sequence of vertices in a graph is called a \emph{(total) legal dominating sequence} if every vertex in the sequence (total) dominates at least one vertex not dominated by those ones that precede it, and at the end all vertices of the graph are (totally) dominated. The \emph{Grundy (total) domination number} of a gra... |
2302.10366 | Tianyin Xu | Jinghao Jia and YiFei Zhu and Dan Williams and Andrea Arcangeli and
Claudio Canella and Hubertus Franke and Tobin Feldman-Fitzthum and Dimitrios
Skarlatos and Daniel Gruss and Tianyin Xu | Programmable System Call Security with eBPF | null | null | null | null | cs.OS cs.CR | http://creativecommons.org/licenses/by/4.0/ | System call filtering is a widely used security mechanism for protecting a
shared OS kernel against untrusted user applications. However, existing system
call filtering techniques either are too expensive due to the context switch
overhead imposed by userspace agents, or lack sufficient programmability to
express adv... | [
{
"created": "Mon, 20 Feb 2023 23:54:04 GMT",
"version": "v1"
}
] | 2023-02-22 | [
[
"Jia",
"Jinghao",
""
],
[
"Zhu",
"YiFei",
""
],
[
"Williams",
"Dan",
""
],
[
"Arcangeli",
"Andrea",
""
],
[
"Canella",
"Claudio",
""
],
[
"Franke",
"Hubertus",
""
],
[
"Feldman-Fitzthum",
"Tobin",
""
],
... | System call filtering is a widely used security mechanism for protecting a shared OS kernel against untrusted user applications. However, existing system call filtering techniques either are too expensive due to the context switch overhead imposed by userspace agents, or lack sufficient programmability to express advan... |
2401.02607 | Yuping Ye | Yuping Ye, Zhan Song, Juan Zhao | Partition-based Nonrigid Registration for 3D Face Model | null | null | null | null | cs.CV | http://creativecommons.org/publicdomain/zero/1.0/ | This paper presents a partition-based surface registration for 3D morphable
model(3DMM). In the 3DMM, it often requires to warp a handcrafted template
model into different captured models. The proposed method first utilizes the
landmarks to partition the template model then scale each part and finally
smooth the boun... | [
{
"created": "Fri, 5 Jan 2024 02:46:08 GMT",
"version": "v1"
}
] | 2024-01-08 | [
[
"Ye",
"Yuping",
""
],
[
"Song",
"Zhan",
""
],
[
"Zhao",
"Juan",
""
]
] | This paper presents a partition-based surface registration for 3D morphable model(3DMM). In the 3DMM, it often requires to warp a handcrafted template model into different captured models. The proposed method first utilizes the landmarks to partition the template model then scale each part and finally smooth the bounda... |
1202.0313 | Leslie Ann Goldberg | Leslie Ann Goldberg and Mark Jerrum | The Complexity of Computing the Sign of the Tutte Polynomial | minor updates. This is the final version (to appear in SICOMP) | null | null | null | cs.CC math.CO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the complexity of computing the sign of the Tutte polynomial of a
graph. As there are only three possible outcomes (positive, negative, and
zero), this seems at first sight more like a decision problem than a counting
problem. Surprisingly, however, there are large regions of the parameter space
for which co... | [
{
"created": "Wed, 1 Feb 2012 22:23:34 GMT",
"version": "v1"
},
{
"created": "Sat, 30 Jun 2012 11:02:23 GMT",
"version": "v2"
},
{
"created": "Fri, 4 Apr 2014 13:17:10 GMT",
"version": "v3"
},
{
"created": "Fri, 25 Apr 2014 13:59:54 GMT",
"version": "v4"
},
{
"cre... | 2014-10-10 | [
[
"Goldberg",
"Leslie Ann",
""
],
[
"Jerrum",
"Mark",
""
]
] | We study the complexity of computing the sign of the Tutte polynomial of a graph. As there are only three possible outcomes (positive, negative, and zero), this seems at first sight more like a decision problem than a counting problem. Surprisingly, however, there are large regions of the parameter space for which comp... |
2203.08908 | Shangyuan Tong | Shangyuan Tong, Timur Garipov, Yang Zhang, Shiyu Chang, Tommi S.
Jaakkola | Adversarial Support Alignment | Accepted to ICLR 2022 | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the problem of aligning the supports of distributions. Compared to
the existing work on distribution alignment, support alignment does not require
the densities to be matched. We propose symmetric support difference as a
divergence measure to quantify the mismatch between supports. We show that
select discri... | [
{
"created": "Wed, 16 Mar 2022 19:46:09 GMT",
"version": "v1"
}
] | 2022-03-18 | [
[
"Tong",
"Shangyuan",
""
],
[
"Garipov",
"Timur",
""
],
[
"Zhang",
"Yang",
""
],
[
"Chang",
"Shiyu",
""
],
[
"Jaakkola",
"Tommi S.",
""
]
] | We study the problem of aligning the supports of distributions. Compared to the existing work on distribution alignment, support alignment does not require the densities to be matched. We propose symmetric support difference as a divergence measure to quantify the mismatch between supports. We show that select discrimi... |
2406.08413 | Christopher Wolters | Christopher Wolters, Xiaoxuan Yang, Ulf Schlichtmann, Toyotaro
Suzumura | Memory Is All You Need: An Overview of Compute-in-Memory Architectures
for Accelerating Large Language Model Inference | null | null | null | null | cs.AR cs.LG | http://creativecommons.org/licenses/by/4.0/ | Large language models (LLMs) have recently transformed natural language
processing, enabling machines to generate human-like text and engage in
meaningful conversations. This development necessitates speed, efficiency, and
accessibility in LLM inference as the computational and memory requirements of
these systems gr... | [
{
"created": "Wed, 12 Jun 2024 16:57:58 GMT",
"version": "v1"
}
] | 2024-06-13 | [
[
"Wolters",
"Christopher",
""
],
[
"Yang",
"Xiaoxuan",
""
],
[
"Schlichtmann",
"Ulf",
""
],
[
"Suzumura",
"Toyotaro",
""
]
] | Large language models (LLMs) have recently transformed natural language processing, enabling machines to generate human-like text and engage in meaningful conversations. This development necessitates speed, efficiency, and accessibility in LLM inference as the computational and memory requirements of these systems grow... |
1311.0505 | Dang Hoan Tran | Dang-Hoan Tran | Automated Change Detection and Reactive Clustering in Multivariate
Streaming Data | null | null | null | null | cs.DB | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Many automated systems need the capability of automatic change detection
without the given detection threshold. This paper presents an automated change
detection algorithm in streaming multivariate data. Two overlapping windows are
used to quantify the changes. While a window is used as the reference window
from whic... | [
{
"created": "Sun, 3 Nov 2013 18:48:50 GMT",
"version": "v1"
}
] | 2013-11-05 | [
[
"Tran",
"Dang-Hoan",
""
]
] | Many automated systems need the capability of automatic change detection without the given detection threshold. This paper presents an automated change detection algorithm in streaming multivariate data. Two overlapping windows are used to quantify the changes. While a window is used as the reference window from which ... |
2012.01939 | Thomas Dalton | Thomas Dalton, Mauritius Schmidtler, Alireza Hadj Khodabakhshi | Classifying Malware Using Function Representations in a Static Call
Graph | 12 pages, 6 figures, accepted to CSoNet 2020 Dallas, to be published
in Springer's Lecture Notes in Computer Science | null | null | null | cs.CR cs.LG | http://creativecommons.org/licenses/by/4.0/ | We propose a deep learning approach for identifying malware families using
the function call graphs of x86 assembly instructions. Though prior work on
static call graph analysis exists, very little involves the application of
modern, principled feature learning techniques to the problem. In this paper,
we introduce a... | [
{
"created": "Tue, 1 Dec 2020 20:36:19 GMT",
"version": "v1"
}
] | 2020-12-04 | [
[
"Dalton",
"Thomas",
""
],
[
"Schmidtler",
"Mauritius",
""
],
[
"Khodabakhshi",
"Alireza Hadj",
""
]
] | We propose a deep learning approach for identifying malware families using the function call graphs of x86 assembly instructions. Though prior work on static call graph analysis exists, very little involves the application of modern, principled feature learning techniques to the problem. In this paper, we introduce a s... |
1512.08427 | Li Han | Li Han, David Kempe, Ruixin Qiang | Incentivizing Exploration with Heterogeneous Value of Money | WINE 2015 | LNCS 9470 (2015) 370-383 | 10.1007/978-3-662-48995-6_27 | null | cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recently, Frazier et al. proposed a natural model for crowdsourced
exploration of different a priori unknown options: a principal is interested in
the long-term welfare of a population of agents who arrive one by one in a
multi-armed bandit setting. However, each agent is myopic, so in order to
incentivize him to exp... | [
{
"created": "Mon, 28 Dec 2015 14:50:45 GMT",
"version": "v1"
}
] | 2015-12-29 | [
[
"Han",
"Li",
""
],
[
"Kempe",
"David",
""
],
[
"Qiang",
"Ruixin",
""
]
] | Recently, Frazier et al. proposed a natural model for crowdsourced exploration of different a priori unknown options: a principal is interested in the long-term welfare of a population of agents who arrive one by one in a multi-armed bandit setting. However, each agent is myopic, so in order to incentivize him to explo... |
2010.06113 | Shubham Sharma | Shubham Sharma, Alan H. Gee, David Paydarfar, Joydeep Ghosh | FaiR-N: Fair and Robust Neural Networks for Structured Data | null | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Fairness in machine learning is crucial when individuals are subject to
automated decisions made by models in high-stake domains. Organizations that
employ these models may also need to satisfy regulations that promote
responsible and ethical A.I. While fairness metrics relying on comparing model
error rates across s... | [
{
"created": "Tue, 13 Oct 2020 01:53:15 GMT",
"version": "v1"
}
] | 2020-10-14 | [
[
"Sharma",
"Shubham",
""
],
[
"Gee",
"Alan H.",
""
],
[
"Paydarfar",
"David",
""
],
[
"Ghosh",
"Joydeep",
""
]
] | Fairness in machine learning is crucial when individuals are subject to automated decisions made by models in high-stake domains. Organizations that employ these models may also need to satisfy regulations that promote responsible and ethical A.I. While fairness metrics relying on comparing model error rates across sub... |
2107.07754 | Christopher Teo | Christopher T.H Teo and Ngai-Man Cheung | Measuring Fairness in Generative Models | Accepted in ICML 2021 Workshop - Machine Learning for Data: Automated
Creation, Privacy, Bias | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Deep generative models have made much progress in improving training
stability and quality of generated data. Recently there has been increased
interest in the fairness of deep-generated data. Fairness is important in many
applications, e.g. law enforcement, as biases will affect efficacy. Central to
fair data genera... | [
{
"created": "Fri, 16 Jul 2021 08:12:44 GMT",
"version": "v1"
}
] | 2021-07-19 | [
[
"Teo",
"Christopher T. H",
""
],
[
"Cheung",
"Ngai-Man",
""
]
] | Deep generative models have made much progress in improving training stability and quality of generated data. Recently there has been increased interest in the fairness of deep-generated data. Fairness is important in many applications, e.g. law enforcement, as biases will affect efficacy. Central to fair data generati... |
2404.11357 | Hangtao Zhang | Hangtao Zhang, Shengshan Hu, Yichen Wang, Leo Yu Zhang, Ziqi Zhou,
Xianlong Wang, Yanjun Zhang, Chao Chen | Detector Collapse: Physical-World Backdooring Object Detection to
Catastrophic Overload or Blindness in Autonomous Driving | Accepted to IJCAI 2024 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Object detection tasks, crucial in safety-critical systems like autonomous
driving, focus on pinpointing object locations. These detectors are known to be
susceptible to backdoor attacks. However, existing backdoor techniques have
primarily been adapted from classification tasks, overlooking deeper
vulnerabilities sp... | [
{
"created": "Wed, 17 Apr 2024 13:12:14 GMT",
"version": "v1"
},
{
"created": "Thu, 15 Aug 2024 13:02:41 GMT",
"version": "v2"
}
] | 2024-08-16 | [
[
"Zhang",
"Hangtao",
""
],
[
"Hu",
"Shengshan",
""
],
[
"Wang",
"Yichen",
""
],
[
"Zhang",
"Leo Yu",
""
],
[
"Zhou",
"Ziqi",
""
],
[
"Wang",
"Xianlong",
""
],
[
"Zhang",
"Yanjun",
""
],
[
"Chen",
... | Object detection tasks, crucial in safety-critical systems like autonomous driving, focus on pinpointing object locations. These detectors are known to be susceptible to backdoor attacks. However, existing backdoor techniques have primarily been adapted from classification tasks, overlooking deeper vulnerabilities spec... |
2302.02560 | Mauricio Tec | Mauricio Tec, Oladimeji Mudele, Kevin Josey, Francesca Dominici | Causal Estimation of Exposure Shifts with Neural Networks: Evaluating
the Health Benefits of Stricter Air Quality Standards in the US | null | null | null | null | cs.LG stat.ME stat.ML | http://creativecommons.org/licenses/by/4.0/ | In policy research, one of the most critical analytic tasks is to estimate
the causal effect of a policy-relevant shift to the distribution of a
continuous exposure/treatment on an outcome of interest. We call this problem
shift-response function (SRF) estimation. Existing neural network methods
involving robust caus... | [
{
"created": "Mon, 6 Feb 2023 04:35:08 GMT",
"version": "v1"
},
{
"created": "Sun, 29 Oct 2023 02:19:00 GMT",
"version": "v2"
},
{
"created": "Wed, 6 Dec 2023 18:55:43 GMT",
"version": "v3"
}
] | 2023-12-07 | [
[
"Tec",
"Mauricio",
""
],
[
"Mudele",
"Oladimeji",
""
],
[
"Josey",
"Kevin",
""
],
[
"Dominici",
"Francesca",
""
]
] | In policy research, one of the most critical analytic tasks is to estimate the causal effect of a policy-relevant shift to the distribution of a continuous exposure/treatment on an outcome of interest. We call this problem shift-response function (SRF) estimation. Existing neural network methods involving robust causal... |
2112.02855 | William Buchanan Prof | William Abramson, William J. Buchanan, Sarwar Sayeed, Nikolaos
Pitropakis, Owen Lo | PAN-DOMAIN: Privacy-preserving Sharing and Auditing of Infection
Identifier Matching | null | IEEE SIN 2021 | null | null | cs.CR cs.CY | http://creativecommons.org/licenses/by/4.0/ | The spread of COVID-19 has highlighted the need for a robust contact tracing
infrastructure that enables infected individuals to have their contacts traced,
and followed up with a test. The key entities involved within a contact tracing
infrastructure may include the Citizen, a Testing Centre (TC), a Health
Authority... | [
{
"created": "Mon, 6 Dec 2021 08:26:08 GMT",
"version": "v1"
}
] | 2021-12-07 | [
[
"Abramson",
"William",
""
],
[
"Buchanan",
"William J.",
""
],
[
"Sayeed",
"Sarwar",
""
],
[
"Pitropakis",
"Nikolaos",
""
],
[
"Lo",
"Owen",
""
]
] | The spread of COVID-19 has highlighted the need for a robust contact tracing infrastructure that enables infected individuals to have their contacts traced, and followed up with a test. The key entities involved within a contact tracing infrastructure may include the Citizen, a Testing Centre (TC), a Health Authority (... |
1709.00717 | Minho Kim | Minho Kim, Seung-Woo Ko and Seong-Lyun Kim | Enhancing TCP End-to-End Performance in Millimeter-Wave Communications | 5 pages, PIMRC 2017 | null | null | null | cs.NI cs.ET | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recently, millimeter-wave (mmWave) communications have received great
attention due to the availability of large spectrum resources. Nevertheless,
their impact on TCP performance has been overlooked, which is observed that the
said TCP performance collapse occurs owing to the significant difference in
signal quality ... | [
{
"created": "Sun, 3 Sep 2017 13:47:42 GMT",
"version": "v1"
},
{
"created": "Tue, 5 Sep 2017 11:13:20 GMT",
"version": "v2"
}
] | 2017-09-06 | [
[
"Kim",
"Minho",
""
],
[
"Ko",
"Seung-Woo",
""
],
[
"Kim",
"Seong-Lyun",
""
]
] | Recently, millimeter-wave (mmWave) communications have received great attention due to the availability of large spectrum resources. Nevertheless, their impact on TCP performance has been overlooked, which is observed that the said TCP performance collapse occurs owing to the significant difference in signal quality be... |
1804.00401 | Carsten Binnig | Prasetya Utama, Nathaniel Weir, Fuat Basik, Carsten Binnig, Ugur
Cetintemel, Benjamin H\"attasch, Amir Ilkhechi, Shekar Ramaswamy, Arif Usta | An End-to-end Neural Natural Language Interface for Databases | null | null | null | null | cs.DB cs.CL cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The ability to extract insights from new data sets is critical for decision
making. Visual interactive tools play an important role in data exploration
since they provide non-technical users with an effective way to visually
compose queries and comprehend the results. Natural language has recently
gained traction as ... | [
{
"created": "Mon, 2 Apr 2018 05:36:38 GMT",
"version": "v1"
}
] | 2018-04-03 | [
[
"Utama",
"Prasetya",
""
],
[
"Weir",
"Nathaniel",
""
],
[
"Basik",
"Fuat",
""
],
[
"Binnig",
"Carsten",
""
],
[
"Cetintemel",
"Ugur",
""
],
[
"Hättasch",
"Benjamin",
""
],
[
"Ilkhechi",
"Amir",
""
],
[
... | The ability to extract insights from new data sets is critical for decision making. Visual interactive tools play an important role in data exploration since they provide non-technical users with an effective way to visually compose queries and comprehend the results. Natural language has recently gained traction as an... |
2004.02516 | Sibylle Fr\"oschle | Sibylle Fr\"oschle, Martin Kubisch, Marlon Gr\"afing | Security Analysis and Design for TAGA: a Touch and Go Assistant in the
Aerospace Domain | 19 pages, 10 figures | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | There is currently a drive in the aerospace domain to introduce machine to
machine communication over wireless networks to improve ground processes at
airports such as refuelling and air conditiong. To this end a session key has
to be established between the aircraft and the respective ground unit such as a
fuel truc... | [
{
"created": "Mon, 6 Apr 2020 09:40:40 GMT",
"version": "v1"
}
] | 2020-04-07 | [
[
"Fröschle",
"Sibylle",
""
],
[
"Kubisch",
"Martin",
""
],
[
"Gräfing",
"Marlon",
""
]
] | There is currently a drive in the aerospace domain to introduce machine to machine communication over wireless networks to improve ground processes at airports such as refuelling and air conditiong. To this end a session key has to be established between the aircraft and the respective ground unit such as a fuel truck ... |
2308.11854 | Anmol Chaure | Anmol Chaure, Ashok Kumar Behera, Sudip Bhattacharya | Finding the Perfect Fit: Applying Regression Models to ClimateBench v1.0 | null | International Journal of Computer Applications 185(29):31-39,
August 2023 | 10.5120/ijca2023923042 | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Climate projections using data driven machine learning models acting as
emulators, is one of the prevailing areas of research to enable policy makers
make informed decisions. Use of machine learning emulators as surrogates for
computationally heavy GCM simulators reduces time and carbon footprints. In
this direction,... | [
{
"created": "Wed, 23 Aug 2023 01:08:01 GMT",
"version": "v1"
}
] | 2023-08-24 | [
[
"Chaure",
"Anmol",
""
],
[
"Behera",
"Ashok Kumar",
""
],
[
"Bhattacharya",
"Sudip",
""
]
] | Climate projections using data driven machine learning models acting as emulators, is one of the prevailing areas of research to enable policy makers make informed decisions. Use of machine learning emulators as surrogates for computationally heavy GCM simulators reduces time and carbon footprints. In this direction, C... |
1201.1684 | Lawrence Ong | Lawrence Ong, Gottfried Lechner, Sarah J. Johnson, Christopher M.
Kellett | The Three-User Finite-Field Multi-Way Relay Channel with Correlated
Sources | Author's final version (accepted and to appear in IEEE Transactions
on Communications) | IEEE Transactions on Communications, Vol. 61, No. 8, pp.
3125-3135, Aug. 2013 | 10.1109/TCOMM.2013.13.120987 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper studies the three-user finite-field multi-way relay channel, where
the users exchange messages via a relay. The messages are arbitrarily
correlated, and the finite-field channel is linear and is subject to additive
noise of arbitrary distribution. The problem is to determine the minimum
achievable source-c... | [
{
"created": "Mon, 9 Jan 2012 03:26:47 GMT",
"version": "v1"
},
{
"created": "Mon, 17 Jun 2013 00:53:01 GMT",
"version": "v2"
}
] | 2013-09-18 | [
[
"Ong",
"Lawrence",
""
],
[
"Lechner",
"Gottfried",
""
],
[
"Johnson",
"Sarah J.",
""
],
[
"Kellett",
"Christopher M.",
""
]
] | This paper studies the three-user finite-field multi-way relay channel, where the users exchange messages via a relay. The messages are arbitrarily correlated, and the finite-field channel is linear and is subject to additive noise of arbitrary distribution. The problem is to determine the minimum achievable source-cha... |
2303.08518 | Daixuan Cheng | Daixuan Cheng, Shaohan Huang, Junyu Bi, Yuefeng Zhan, Jianfeng Liu,
Yujing Wang, Hao Sun, Furu Wei, Denvy Deng, Qi Zhang | UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation | EMNLP 2023 Main Conference | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large Language Models (LLMs) are popular for their impressive abilities, but
the need for model-specific fine-tuning or task-specific prompt engineering can
hinder their generalization. We propose UPRISE (Universal Prompt Retrieval for
Improving zero-Shot Evaluation), which tunes a lightweight and versatile
retriever... | [
{
"created": "Wed, 15 Mar 2023 10:53:49 GMT",
"version": "v1"
},
{
"created": "Wed, 22 Mar 2023 11:29:48 GMT",
"version": "v2"
},
{
"created": "Wed, 11 Oct 2023 05:40:41 GMT",
"version": "v3"
},
{
"created": "Sat, 16 Dec 2023 06:50:09 GMT",
"version": "v4"
}
] | 2023-12-19 | [
[
"Cheng",
"Daixuan",
""
],
[
"Huang",
"Shaohan",
""
],
[
"Bi",
"Junyu",
""
],
[
"Zhan",
"Yuefeng",
""
],
[
"Liu",
"Jianfeng",
""
],
[
"Wang",
"Yujing",
""
],
[
"Sun",
"Hao",
""
],
[
"Wei",
"Furu"... | Large Language Models (LLMs) are popular for their impressive abilities, but the need for model-specific fine-tuning or task-specific prompt engineering can hinder their generalization. We propose UPRISE (Universal Prompt Retrieval for Improving zero-Shot Evaluation), which tunes a lightweight and versatile retriever t... |
1805.01559 | Georgios Paschos | Georgios Paschos, Nikolaos Liakopoulos, Merouane Debbah and Tong Wen | Computational Optimal Transport for 5G Massive C-RAN Device Association | 6 pages, 5 figures | null | null | null | cs.NI cs.PF | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The massive scale of future wireless networks will create computational
bottlenecks in performance optimization. In this paper, we study the problem of
connecting mobile traffic to Cloud RAN (C-RAN) stations. To balance station
load, we steer the traffic by designing device association rules. The baseline
association... | [
{
"created": "Thu, 3 May 2018 22:08:19 GMT",
"version": "v1"
}
] | 2018-05-07 | [
[
"Paschos",
"Georgios",
""
],
[
"Liakopoulos",
"Nikolaos",
""
],
[
"Debbah",
"Merouane",
""
],
[
"Wen",
"Tong",
""
]
] | The massive scale of future wireless networks will create computational bottlenecks in performance optimization. In this paper, we study the problem of connecting mobile traffic to Cloud RAN (C-RAN) stations. To balance station load, we steer the traffic by designing device association rules. The baseline association r... |
2012.11998 | Fernando Hernando | Carlos Galindo and Fernando Hernando | On the generalization of the construction of quantum codes from
Hermitian self-orthogonal codes | null | Designs, Codes and Cryptography, volume 90, 2022 | 10.1007/s10623-022-01018-2 | null | cs.IT math.IT | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Many $q$-ary stabilizer quantum codes can be constructed from Hermitian
self-orthogonal $q^2$-ary linear codes. This result can be generalized to $q^{2
m}$-ary linear codes, $m > 1$. We give a result for easily obtaining quantum
codes from that generalization. As a consequence we provide several new binary
stabilizer... | [
{
"created": "Tue, 22 Dec 2020 13:38:47 GMT",
"version": "v1"
},
{
"created": "Wed, 21 Jul 2021 11:21:40 GMT",
"version": "v2"
}
] | 2024-05-01 | [
[
"Galindo",
"Carlos",
""
],
[
"Hernando",
"Fernando",
""
]
] | Many $q$-ary stabilizer quantum codes can be constructed from Hermitian self-orthogonal $q^2$-ary linear codes. This result can be generalized to $q^{2 m}$-ary linear codes, $m > 1$. We give a result for easily obtaining quantum codes from that generalization. As a consequence we provide several new binary stabilizer q... |
1010.2623 | Konstantin Kolchin | Konstantin Kolchin | Surface Curvature Effects on Reflectance from Translucent Materials | 10 pages, 2 figures. The first version of this paper was published in
the Communication Papers Proceedings of 18th International Conference on
Computer Graphics, Visualization and Computer Vision 2010 - WSCG2010 | null | null | null | cs.GR physics.optics | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Most of the physically based techniques for rendering translucent objects use
the diffusion theory of light scattering in turbid media. The widely used
dipole diffusion model (Jensen et al. 2001) applies the diffusion-theory
formula derived for a planar interface to objects of arbitrary shapes. This
paper presents fi... | [
{
"created": "Wed, 13 Oct 2010 10:35:23 GMT",
"version": "v1"
},
{
"created": "Mon, 15 Nov 2010 10:47:24 GMT",
"version": "v2"
}
] | 2010-11-16 | [
[
"Kolchin",
"Konstantin",
""
]
] | Most of the physically based techniques for rendering translucent objects use the diffusion theory of light scattering in turbid media. The widely used dipole diffusion model (Jensen et al. 2001) applies the diffusion-theory formula derived for a planar interface to objects of arbitrary shapes. This paper presents firs... |
1804.03312 | Ke Yu | Ke Yu, Chao Dong, Liang Lin, Chen Change Loy | Crafting a Toolchain for Image Restoration by Deep Reinforcement
Learning | To appear at CVPR 2018 (Spotlight). Project page:
http://mmlab.ie.cuhk.edu.hk/projects/RL-Restore/ | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We investigate a novel approach for image restoration by reinforcement
learning. Unlike existing studies that mostly train a single large network for
a specialized task, we prepare a toolbox consisting of small-scale
convolutional networks of different complexities and specialized in different
tasks. Our method, RL-R... | [
{
"created": "Tue, 10 Apr 2018 02:30:40 GMT",
"version": "v1"
}
] | 2018-04-11 | [
[
"Yu",
"Ke",
""
],
[
"Dong",
"Chao",
""
],
[
"Lin",
"Liang",
""
],
[
"Loy",
"Chen Change",
""
]
] | We investigate a novel approach for image restoration by reinforcement learning. Unlike existing studies that mostly train a single large network for a specialized task, we prepare a toolbox consisting of small-scale convolutional networks of different complexities and specialized in different tasks. Our method, RL-Res... |
1709.09235 | Yu-Hang Tang | Yu-Hang Tang, Dongkun Zhang and George Em Karniadakis | An Atomistic Fingerprint Algorithm for Learning Ab Initio Molecular
Force Fields | null | null | 10.1063/1.5008630 | null | cs.CE physics.chem-ph physics.comp-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Molecular fingerprints, i.e. feature vectors describing atomistic
neighborhood configurations, is an important abstraction and a key ingredient
for data-driven modeling of potential energy surface and interatomic force. In
this paper, we present the Density-Encoded Canonically Aligned Fingerprint
(DECAF) fingerprint ... | [
{
"created": "Tue, 26 Sep 2017 19:49:32 GMT",
"version": "v1"
},
{
"created": "Mon, 9 Oct 2017 03:44:30 GMT",
"version": "v2"
},
{
"created": "Thu, 14 Dec 2017 05:48:08 GMT",
"version": "v3"
}
] | 2018-02-14 | [
[
"Tang",
"Yu-Hang",
""
],
[
"Zhang",
"Dongkun",
""
],
[
"Karniadakis",
"George Em",
""
]
] | Molecular fingerprints, i.e. feature vectors describing atomistic neighborhood configurations, is an important abstraction and a key ingredient for data-driven modeling of potential energy surface and interatomic force. In this paper, we present the Density-Encoded Canonically Aligned Fingerprint (DECAF) fingerprint al... |
1206.5242 | Vibhav Gogate | Vibhav Gogate, Bozhena Bidyuk, Rina Dechter | Studies in Lower Bounding Probabilities of Evidence using the Markov
Inequality | Appears in Proceedings of the Twenty-Third Conference on Uncertainty
in Artificial Intelligence (UAI2007) | null | null | UAI-P-2007-PG-141-148 | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Computing the probability of evidence even with known error bounds is
NP-hard. In this paper we address this hard problem by settling on an easier
problem. We propose an approximation which provides high confidence lower
bounds on probability of evidence but does not have any guarantees in terms of
relative or absolu... | [
{
"created": "Wed, 20 Jun 2012 14:53:07 GMT",
"version": "v1"
}
] | 2012-06-26 | [
[
"Gogate",
"Vibhav",
""
],
[
"Bidyuk",
"Bozhena",
""
],
[
"Dechter",
"Rina",
""
]
] | Computing the probability of evidence even with known error bounds is NP-hard. In this paper we address this hard problem by settling on an easier problem. We propose an approximation which provides high confidence lower bounds on probability of evidence but does not have any guarantees in terms of relative or absolute... |
1704.00090 | Marc-Andr\'e Gardner | Marc-Andr\'e Gardner, Kalyan Sunkavalli, Ersin Yumer, Xiaohui Shen,
Emiliano Gambaretto, Christian Gagn\'e, Jean-Fran\c{c}ois Lalonde | Learning to Predict Indoor Illumination from a Single Image | null | null | null | null | cs.CV cs.GR stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose an automatic method to infer high dynamic range illumination from
a single, limited field-of-view, low dynamic range photograph of an indoor
scene. In contrast to previous work that relies on specialized image capture,
user input, and/or simple scene models, we train an end-to-end deep neural
network that ... | [
{
"created": "Sat, 1 Apr 2017 00:50:12 GMT",
"version": "v1"
},
{
"created": "Thu, 25 May 2017 19:20:01 GMT",
"version": "v2"
},
{
"created": "Tue, 21 Nov 2017 08:32:24 GMT",
"version": "v3"
}
] | 2017-11-22 | [
[
"Gardner",
"Marc-André",
""
],
[
"Sunkavalli",
"Kalyan",
""
],
[
"Yumer",
"Ersin",
""
],
[
"Shen",
"Xiaohui",
""
],
[
"Gambaretto",
"Emiliano",
""
],
[
"Gagné",
"Christian",
""
],
[
"Lalonde",
"Jean-François",
... | We propose an automatic method to infer high dynamic range illumination from a single, limited field-of-view, low dynamic range photograph of an indoor scene. In contrast to previous work that relies on specialized image capture, user input, and/or simple scene models, we train an end-to-end deep neural network that di... |
2005.12788 | Tianchi Huang | Tianchi Huang, Rui-Xiao Zhang, Lifeng Sun | Self-play Reinforcement Learning for Video Transmission | To appear in NOSSDAV'20 | null | 10.1145/3386290.3396930 | null | cs.MM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Video transmission services adopt adaptive algorithms to ensure users'
demands. Existing techniques are often optimized and evaluated by a function
that linearly combines several weighted metrics. Nevertheless, we observe that
the given function fails to describe the requirement accurately. Thus, such
proposed method... | [
{
"created": "Tue, 26 May 2020 15:12:08 GMT",
"version": "v1"
}
] | 2020-05-27 | [
[
"Huang",
"Tianchi",
""
],
[
"Zhang",
"Rui-Xiao",
""
],
[
"Sun",
"Lifeng",
""
]
] | Video transmission services adopt adaptive algorithms to ensure users' demands. Existing techniques are often optimized and evaluated by a function that linearly combines several weighted metrics. Nevertheless, we observe that the given function fails to describe the requirement accurately. Thus, such proposed methods ... |
1812.04912 | Nana Wang | Nana Wang, Li Cui, Xi Huang, Yingcong Xiang, Jing Xiao | EasiCSDeep: A deep learning model for Cervical Spondylosis
Identification using surface electromyography signal | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Cervical spondylosis (CS) is a common chronic disease that affects up to
two-thirds of the population and poses a serious burden on individuals and
society. The early identification has significant value in improving cure rate
and reducing costs. However, the pathology is complex, and the mild symptoms
increase the d... | [
{
"created": "Wed, 12 Dec 2018 12:10:45 GMT",
"version": "v1"
}
] | 2018-12-13 | [
[
"Wang",
"Nana",
""
],
[
"Cui",
"Li",
""
],
[
"Huang",
"Xi",
""
],
[
"Xiang",
"Yingcong",
""
],
[
"Xiao",
"Jing",
""
]
] | Cervical spondylosis (CS) is a common chronic disease that affects up to two-thirds of the population and poses a serious burden on individuals and society. The early identification has significant value in improving cure rate and reducing costs. However, the pathology is complex, and the mild symptoms increase the dif... |
2407.08233 | Ding Chen | Ding Chen, Chen Liu | Differentially Private Neural Network Training under Hidden State
Assumption | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | We present a novel approach called differentially private stochastic block
coordinate descent (DP-SBCD) for training neural networks with provable
guarantees of differential privacy under the hidden state assumption. Our
methodology incorporates Lipschitz neural networks and decomposes the training
process of the neu... | [
{
"created": "Thu, 11 Jul 2024 07:14:40 GMT",
"version": "v1"
}
] | 2024-07-12 | [
[
"Chen",
"Ding",
""
],
[
"Liu",
"Chen",
""
]
] | We present a novel approach called differentially private stochastic block coordinate descent (DP-SBCD) for training neural networks with provable guarantees of differential privacy under the hidden state assumption. Our methodology incorporates Lipschitz neural networks and decomposes the training process of the neura... |
2007.14580 | T.J. Tsai | Mengyi Shan and TJ Tsai | Improved Handling of Repeats and Jumps in Audio-Sheet Image
Synchronization | 8 pages, 5 figures. Accepted paper at the International Society for
Music Information Retrieval Conference (ISMIR) 2020 | null | null | null | cs.MM cs.SD eess.AS eess.IV | http://creativecommons.org/licenses/by/4.0/ | This paper studies the problem of automatically generating piano score
following videos given an audio recording and raw sheet music images. Whereas
previous works focus on synthetic sheet music where the data has been cleaned
and preprocessed, we instead focus on developing a system that can cope with
the messiness ... | [
{
"created": "Wed, 29 Jul 2020 04:04:07 GMT",
"version": "v1"
}
] | 2020-07-30 | [
[
"Shan",
"Mengyi",
""
],
[
"Tsai",
"TJ",
""
]
] | This paper studies the problem of automatically generating piano score following videos given an audio recording and raw sheet music images. Whereas previous works focus on synthetic sheet music where the data has been cleaned and preprocessed, we instead focus on developing a system that can cope with the messiness of... |
2305.07687 | Sean Cornelius | Michael M. Danziger, Omkar R. Gojala, Sean P. Cornelius | Mastering Percolation-like Games with Deep Learning | 8 pages, 7 figures; improved figures, references added | null | null | null | cs.LG nlin.AO | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Though robustness of networks to random attacks has been widely studied,
intentional destruction by an intelligent agent is not tractable with previous
methods. Here we devise a single-player game on a lattice that mimics the logic
of an attacker attempting to destroy a network. The objective of the game is to
disabl... | [
{
"created": "Fri, 12 May 2023 15:37:45 GMT",
"version": "v1"
},
{
"created": "Wed, 28 Jun 2023 20:35:36 GMT",
"version": "v2"
}
] | 2023-06-30 | [
[
"Danziger",
"Michael M.",
""
],
[
"Gojala",
"Omkar R.",
""
],
[
"Cornelius",
"Sean P.",
""
]
] | Though robustness of networks to random attacks has been widely studied, intentional destruction by an intelligent agent is not tractable with previous methods. Here we devise a single-player game on a lattice that mimics the logic of an attacker attempting to destroy a network. The objective of the game is to disable ... |
2009.03116 | Magnus Sahlgren | Tim Isbister and Magnus Sahlgren | Why Not Simply Translate? A First Swedish Evaluation Benchmark for
Semantic Similarity | SLTC 2020 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents the first Swedish evaluation benchmark for textual
semantic similarity. The benchmark is compiled by simply running the English
STS-B dataset through the Google machine translation API. This paper discusses
potential problems with using such a simple approach to compile a Swedish
evaluation benchm... | [
{
"created": "Mon, 7 Sep 2020 14:07:12 GMT",
"version": "v1"
},
{
"created": "Sun, 29 Nov 2020 10:04:27 GMT",
"version": "v2"
}
] | 2020-12-01 | [
[
"Isbister",
"Tim",
""
],
[
"Sahlgren",
"Magnus",
""
]
] | This paper presents the first Swedish evaluation benchmark for textual semantic similarity. The benchmark is compiled by simply running the English STS-B dataset through the Google machine translation API. This paper discusses potential problems with using such a simple approach to compile a Swedish evaluation benchmar... |
2312.10118 | Jaeho Moon | Jaeho Moon, Juan Luis Gonzalez Bello, Byeongjun Kwon, Munchurl Kim | From-Ground-To-Objects: Coarse-to-Fine Self-supervised Monocular Depth
Estimation of Dynamic Objects with Ground Contact Prior | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Self-supervised monocular depth estimation (DE) is an approach to learning
depth without costly depth ground truths. However, it often struggles with
moving objects that violate the static scene assumption during training. To
address this issue, we introduce a coarse-to-fine training strategy leveraging
the ground co... | [
{
"created": "Fri, 15 Dec 2023 11:22:17 GMT",
"version": "v1"
}
] | 2023-12-19 | [
[
"Moon",
"Jaeho",
""
],
[
"Bello",
"Juan Luis Gonzalez",
""
],
[
"Kwon",
"Byeongjun",
""
],
[
"Kim",
"Munchurl",
""
]
] | Self-supervised monocular depth estimation (DE) is an approach to learning depth without costly depth ground truths. However, it often struggles with moving objects that violate the static scene assumption during training. To address this issue, we introduce a coarse-to-fine training strategy leveraging the ground cont... |
1805.10515 | Wensheng Gan | Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh
Chao and Philip S. Yu | A Survey of Parallel Sequential Pattern Mining | Accepted by ACM Trans. on Knowl. Discov. Data, 33 pages | ACM Transactions on Knowledge Discovery from Data, 2019 | 10.1145/3314107 | null | cs.DB | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With the growing popularity of shared resources, large volumes of complex
data of different types are collected automatically. Traditional data mining
algorithms generally have problems and challenges including huge memory cost,
low processing speed, and inadequate hard disk space. As a fundamental task of
data minin... | [
{
"created": "Sat, 26 May 2018 18:44:12 GMT",
"version": "v1"
},
{
"created": "Fri, 5 Apr 2019 02:16:58 GMT",
"version": "v2"
}
] | 2021-04-01 | [
[
"Gan",
"Wensheng",
""
],
[
"Lin",
"Jerry Chun-Wei",
""
],
[
"Fournier-Viger",
"Philippe",
""
],
[
"Chao",
"Han-Chieh",
""
],
[
"Yu",
"Philip S.",
""
]
] | With the growing popularity of shared resources, large volumes of complex data of different types are collected automatically. Traditional data mining algorithms generally have problems and challenges including huge memory cost, low processing speed, and inadequate hard disk space. As a fundamental task of data mining,... |
2303.00387 | Dorjan Hitaj | Giulio Pagnotta, Fabio De Gaspari, Dorjan Hitaj, Mauro Andreolini,
Michele Colajanni, Luigi V. Mancini | DOLOS: A Novel Architecture for Moving Target Defense | 16 pages | IEEE Transactions on Information Forensics and Security, 2023 | 10.1109/TIFS.2023.3318964 | null | cs.CR cs.CY | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Moving Target Defense and Cyber Deception emerged in recent years as two key
proactive cyber defense approaches, contrasting with the static nature of the
traditional reactive cyber defense. The key insight behind these approaches is
to impose an asymmetric disadvantage for the attacker by using deception and
randomi... | [
{
"created": "Wed, 1 Mar 2023 10:13:03 GMT",
"version": "v1"
},
{
"created": "Wed, 27 Sep 2023 14:22:38 GMT",
"version": "v2"
}
] | 2023-09-28 | [
[
"Pagnotta",
"Giulio",
""
],
[
"De Gaspari",
"Fabio",
""
],
[
"Hitaj",
"Dorjan",
""
],
[
"Andreolini",
"Mauro",
""
],
[
"Colajanni",
"Michele",
""
],
[
"Mancini",
"Luigi V.",
""
]
] | Moving Target Defense and Cyber Deception emerged in recent years as two key proactive cyber defense approaches, contrasting with the static nature of the traditional reactive cyber defense. The key insight behind these approaches is to impose an asymmetric disadvantage for the attacker by using deception and randomiza... |
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