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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2312.02051 | Shuhuai Ren | Shuhuai Ren, Linli Yao, Shicheng Li, Xu Sun, Lu Hou | TimeChat: A Time-sensitive Multimodal Large Language Model for Long
Video Understanding | CVPR 2024 camera-ready version, code is available at
https://github.com/RenShuhuai-Andy/TimeChat | null | null | null | cs.CV cs.AI cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This work proposes TimeChat, a time-sensitive multimodal large language model
specifically designed for long video understanding. Our model incorporates two
key architectural contributions: (1) a timestamp-aware frame encoder that binds
visual content with the timestamp of each frame, and (2) a sliding video
Q-Former... | [
{
"created": "Mon, 4 Dec 2023 17:09:52 GMT",
"version": "v1"
},
{
"created": "Thu, 28 Mar 2024 12:41:14 GMT",
"version": "v2"
}
] | 2024-03-29 | [
[
"Ren",
"Shuhuai",
""
],
[
"Yao",
"Linli",
""
],
[
"Li",
"Shicheng",
""
],
[
"Sun",
"Xu",
""
],
[
"Hou",
"Lu",
""
]
] | This work proposes TimeChat, a time-sensitive multimodal large language model specifically designed for long video understanding. Our model incorporates two key architectural contributions: (1) a timestamp-aware frame encoder that binds visual content with the timestamp of each frame, and (2) a sliding video Q-Former t... |
2202.04270 | Kenjiro Tadakuma | Tomoya Takahashi, Masahiro Watanabe, Kenjiro Tadakuma, Naoto Saiki,
Kazuki Abe Masashi Konyo and Satoshi Tadokoro | Inflated Bendable Eversion Cantilever Mechanism with Inner Skeleton for
Increased Payload Holding | This article is consist of 8 pages and 15 figures | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Inflatable structures used in soft robotics applications exhibit unique
characteristics. In particular, the tip-extension structure, which grows from
the tip, can grow without friction against the environment. However, these
inflatable structures are inferior to rigid mechanisms in terms of their
load-bearing capacit... | [
{
"created": "Wed, 9 Feb 2022 04:35:40 GMT",
"version": "v1"
}
] | 2022-02-10 | [
[
"Takahashi",
"Tomoya",
""
],
[
"Watanabe",
"Masahiro",
""
],
[
"Tadakuma",
"Kenjiro",
""
],
[
"Saiki",
"Naoto",
""
],
[
"Konyo",
"Kazuki Abe Masashi",
""
],
[
"Tadokoro",
"Satoshi",
""
]
] | Inflatable structures used in soft robotics applications exhibit unique characteristics. In particular, the tip-extension structure, which grows from the tip, can grow without friction against the environment. However, these inflatable structures are inferior to rigid mechanisms in terms of their load-bearing capacity.... |
2306.09848 | Ege Gursoy | Ege Gursoy, Sonny Tarbouriech, Andrea Cherubini | Can robots mold soft plastic materials by shaping depth images? | Accepted to IEEE Transactions on Robotics (T-RO) | null | null | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | Can robots mold soft plastic materials by shaping depth images? The short
answer is no: current day robots can't. In this article, we address the problem
of shaping plastic material with an anthropomorphic arm/hand robot, which
observes the material with a fixed depth camera. Robots capable of molding
could assist hu... | [
{
"created": "Fri, 16 Jun 2023 13:46:15 GMT",
"version": "v1"
}
] | 2023-06-19 | [
[
"Gursoy",
"Ege",
""
],
[
"Tarbouriech",
"Sonny",
""
],
[
"Cherubini",
"Andrea",
""
]
] | Can robots mold soft plastic materials by shaping depth images? The short answer is no: current day robots can't. In this article, we address the problem of shaping plastic material with an anthropomorphic arm/hand robot, which observes the material with a fixed depth camera. Robots capable of molding could assist huma... |
1305.3102 | Bart M. P. Jansen | Michael R. Fellows and Bart M. P. Jansen | FPT is Characterized by Useful Obstruction Sets | Extended abstract with appendix, as accepted to WG 2013 | null | null | null | cs.CC cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Many graph problems were first shown to be fixed-parameter tractable using
the results of Robertson and Seymour on graph minors. We show that the
combination of finite, computable, obstruction sets and efficient order tests
is not just one way of obtaining strongly uniform FPT algorithms, but that all
of FPT may be c... | [
{
"created": "Tue, 14 May 2013 10:43:00 GMT",
"version": "v1"
}
] | 2013-05-15 | [
[
"Fellows",
"Michael R.",
""
],
[
"Jansen",
"Bart M. P.",
""
]
] | Many graph problems were first shown to be fixed-parameter tractable using the results of Robertson and Seymour on graph minors. We show that the combination of finite, computable, obstruction sets and efficient order tests is not just one way of obtaining strongly uniform FPT algorithms, but that all of FPT may be cap... |
2205.08820 | Antonio Longa | Antonio Longa, Giulia Cencetti, Sune Lehmann, Andrea Passerini and
Bruno Lepri | Generating fine-grained surrogate temporal networks | null | null | null | null | cs.SI cs.CY physics.data-an physics.soc-ph | http://creativecommons.org/licenses/by/4.0/ | Temporal networks are essential for modeling and understanding systems whose
behavior varies in time, from social interactions to biological systems. Often,
however, real-world data are prohibitively expensive to collect in a large
scale or unshareable due to privacy concerns. A promising way to bypass the
problem co... | [
{
"created": "Wed, 18 May 2022 09:38:22 GMT",
"version": "v1"
},
{
"created": "Tue, 22 Aug 2023 17:35:58 GMT",
"version": "v2"
}
] | 2023-08-23 | [
[
"Longa",
"Antonio",
""
],
[
"Cencetti",
"Giulia",
""
],
[
"Lehmann",
"Sune",
""
],
[
"Passerini",
"Andrea",
""
],
[
"Lepri",
"Bruno",
""
]
] | Temporal networks are essential for modeling and understanding systems whose behavior varies in time, from social interactions to biological systems. Often, however, real-world data are prohibitively expensive to collect in a large scale or unshareable due to privacy concerns. A promising way to bypass the problem cons... |
2309.05352 | Rohan V Kashyap | Pavan Karjol, Rohan Kashyap, Prathosh A P | Neural Discovery of Permutation Subgroups | null | In International Conference on Artificial Intelligence and
Statistics, pp. 4668-4678. Volume 206. PMLR, 2023 | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | We consider the problem of discovering subgroup $H$ of permutation group
$S_{n}$. Unlike the traditional $H$-invariant networks wherein $H$ is assumed
to be known, we present a method to discover the underlying subgroup, given
that it satisfies certain conditions. Our results show that one could discover
any subgroup... | [
{
"created": "Mon, 11 Sep 2023 09:53:28 GMT",
"version": "v1"
}
] | 2023-09-12 | [
[
"Karjol",
"Pavan",
""
],
[
"Kashyap",
"Rohan",
""
],
[
"P",
"Prathosh A",
""
]
] | We consider the problem of discovering subgroup $H$ of permutation group $S_{n}$. Unlike the traditional $H$-invariant networks wherein $H$ is assumed to be known, we present a method to discover the underlying subgroup, given that it satisfies certain conditions. Our results show that one could discover any subgroup o... |
2303.10991 | Jinyoung Jun | Jinyoung Jun, Jae-Han Lee, and Chang-Su Kim | Versatile Depth Estimator Based on Common Relative Depth Estimation and
Camera-Specific Relative-to-Metric Depth Conversion | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A typical monocular depth estimator is trained for a single camera, so its
performance drops severely on images taken with different cameras. To address
this issue, we propose a versatile depth estimator (VDE), composed of a common
relative depth estimator (CRDE) and multiple relative-to-metric converters
(R2MCs). Th... | [
{
"created": "Mon, 20 Mar 2023 10:19:50 GMT",
"version": "v1"
}
] | 2023-03-21 | [
[
"Jun",
"Jinyoung",
""
],
[
"Lee",
"Jae-Han",
""
],
[
"Kim",
"Chang-Su",
""
]
] | A typical monocular depth estimator is trained for a single camera, so its performance drops severely on images taken with different cameras. To address this issue, we propose a versatile depth estimator (VDE), composed of a common relative depth estimator (CRDE) and multiple relative-to-metric converters (R2MCs). The ... |
2309.04782 | Feng Zhou | Feng Zhou, Antonio Cicone, Haomin Zhou | RRCNN$^{+}$: An Enhanced Residual Recursive Convolutional Neural Network
for Non-stationary Signal Decomposition | 8 pages, 4 figure | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Time-frequency analysis is an important and challenging task in many
applications. Fourier and wavelet analysis are two classic methods that have
achieved remarkable success in many fields. They also exhibit limitations when
applied to nonlinear and non-stationary signals. To address this challenge, a
series of nonli... | [
{
"created": "Sat, 9 Sep 2023 13:00:30 GMT",
"version": "v1"
}
] | 2023-09-12 | [
[
"Zhou",
"Feng",
""
],
[
"Cicone",
"Antonio",
""
],
[
"Zhou",
"Haomin",
""
]
] | Time-frequency analysis is an important and challenging task in many applications. Fourier and wavelet analysis are two classic methods that have achieved remarkable success in many fields. They also exhibit limitations when applied to nonlinear and non-stationary signals. To address this challenge, a series of nonline... |
2311.18495 | Avery Ma | Avery Ma, Amir-massoud Farahmand, Yangchen Pan, Philip Torr, Jindong
Gu | Improving Adversarial Transferability via Model Alignment | Accepted at the European Conference on Computer Vision (ECCV) 2024.
Code: https://github.com/averyma/model-alignment | null | null | null | cs.LG cs.CV | http://creativecommons.org/licenses/by/4.0/ | Neural networks are susceptible to adversarial perturbations that are
transferable across different models. In this paper, we introduce a novel model
alignment technique aimed at improving a given source model's ability in
generating transferable adversarial perturbations. During the alignment
process, the parameters... | [
{
"created": "Thu, 30 Nov 2023 12:15:49 GMT",
"version": "v1"
},
{
"created": "Wed, 17 Jul 2024 11:45:09 GMT",
"version": "v2"
}
] | 2024-07-18 | [
[
"Ma",
"Avery",
""
],
[
"Farahmand",
"Amir-massoud",
""
],
[
"Pan",
"Yangchen",
""
],
[
"Torr",
"Philip",
""
],
[
"Gu",
"Jindong",
""
]
] | Neural networks are susceptible to adversarial perturbations that are transferable across different models. In this paper, we introduce a novel model alignment technique aimed at improving a given source model's ability in generating transferable adversarial perturbations. During the alignment process, the parameters o... |
2102.08628 | Essam Rashed | Essam A. Rashed, Sachiko Kodera, Hidenobu Shirakami, Ryotetsu
Kawaguchi, Kazuhiro Watanabe, Akimasa Hirata | Knowledge discovery from emergency ambulance dispatch during COVID-19: A
case study of Nagoya City, Japan | 15 pages, 12 figures, 2 tables | Journal of Biomedical Informatics, 2021 | 10.1016/j.jbi.2021.103743 | null | cs.AI eess.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Accurate forecasting of medical service requirements is an important big data
problem that is crucial for resource management in critical times such as
natural disasters and pandemics. With the global spread of coronavirus disease
2019 (COVID-19), several concerns have been raised regarding the ability of
medical sys... | [
{
"created": "Wed, 17 Feb 2021 08:37:05 GMT",
"version": "v1"
}
] | 2021-03-23 | [
[
"Rashed",
"Essam A.",
""
],
[
"Kodera",
"Sachiko",
""
],
[
"Shirakami",
"Hidenobu",
""
],
[
"Kawaguchi",
"Ryotetsu",
""
],
[
"Watanabe",
"Kazuhiro",
""
],
[
"Hirata",
"Akimasa",
""
]
] | Accurate forecasting of medical service requirements is an important big data problem that is crucial for resource management in critical times such as natural disasters and pandemics. With the global spread of coronavirus disease 2019 (COVID-19), several concerns have been raised regarding the ability of medical syste... |
2312.10371 | Wei Chen | Wei Chen, Gang Zhao, Xiaojin Zhang, Xiang Bai, Xuanjing Huang, Zhongyu
Wei | K-ESConv: Knowledge Injection for Emotional Support Dialogue Systems via
Prompt Learning | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Automatic psychological counseling requires mass of professional knowledge
that can be found in online counseling forums. Motivated by this, we propose
K-ESConv, a novel prompt learning based knowledge injection method for
emotional support dialogue system, transferring forum knowledge to response
generation. We eval... | [
{
"created": "Sat, 16 Dec 2023 08:10:10 GMT",
"version": "v1"
}
] | 2023-12-19 | [
[
"Chen",
"Wei",
""
],
[
"Zhao",
"Gang",
""
],
[
"Zhang",
"Xiaojin",
""
],
[
"Bai",
"Xiang",
""
],
[
"Huang",
"Xuanjing",
""
],
[
"Wei",
"Zhongyu",
""
]
] | Automatic psychological counseling requires mass of professional knowledge that can be found in online counseling forums. Motivated by this, we propose K-ESConv, a novel prompt learning based knowledge injection method for emotional support dialogue system, transferring forum knowledge to response generation. We evalua... |
2405.00154 | Aleksandr Katrutsa | Alexander Demin, Yuriy Dorn, Aleksandr Katrutsa, Daniil Kazantsev,
Ilgam Latypov, Yulia Maximlyuk, Denis Ponomaryov | EEvA: Fast Expert-Based Algorithms for Buffer Page Replacement | null | null | null | null | cs.DB | http://creativecommons.org/licenses/by/4.0/ | Optimal page replacement is an important problem in efficient buffer
management. The range of replacement strategies known in the literature varies
from simple but efficient FIFO-based algorithms to more accurate but
potentially costly methods tailored to specific data access patterns. The
principal issue in adopting... | [
{
"created": "Tue, 30 Apr 2024 19:04:53 GMT",
"version": "v1"
}
] | 2024-05-02 | [
[
"Demin",
"Alexander",
""
],
[
"Dorn",
"Yuriy",
""
],
[
"Katrutsa",
"Aleksandr",
""
],
[
"Kazantsev",
"Daniil",
""
],
[
"Latypov",
"Ilgam",
""
],
[
"Maximlyuk",
"Yulia",
""
],
[
"Ponomaryov",
"Denis",
""
]... | Optimal page replacement is an important problem in efficient buffer management. The range of replacement strategies known in the literature varies from simple but efficient FIFO-based algorithms to more accurate but potentially costly methods tailored to specific data access patterns. The principal issue in adopting a... |
2403.10338 | Priyanka Sukumaran | Priyanka Sukumaran, Conor Houghton, Nina Kazanina | Investigating grammatical abstraction in language models using few-shot
learning of novel noun gender | EACL 2024; Findings of the Association for Computational Linguistics | null | null | null | cs.CL | http://creativecommons.org/licenses/by-sa/4.0/ | Humans can learn a new word and infer its grammatical properties from very
few examples. They have an abstract notion of linguistic properties like
grammatical gender and agreement rules that can be applied to novel syntactic
contexts and words. Drawing inspiration from psycholinguistics, we conduct a
noun learning e... | [
{
"created": "Fri, 15 Mar 2024 14:25:59 GMT",
"version": "v1"
}
] | 2024-03-18 | [
[
"Sukumaran",
"Priyanka",
""
],
[
"Houghton",
"Conor",
""
],
[
"Kazanina",
"Nina",
""
]
] | Humans can learn a new word and infer its grammatical properties from very few examples. They have an abstract notion of linguistic properties like grammatical gender and agreement rules that can be applied to novel syntactic contexts and words. Drawing inspiration from psycholinguistics, we conduct a noun learning exp... |
2003.10670 | Xuesong Li | Xuesong Li, Jose Guivant, Subhan Khan | Real-time 3D object proposal generation and classification under limited
processing resources | null | Robotics and Autonomous Systems, 130 (2020) 103557 | 10.1016/j.robot.2020.103557 | 2-s2.0-85084829367 | cs.CV cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The task of detecting 3D objects is important to various robotic
applications. The existing deep learning-based detection techniques have
achieved impressive performance. However, these techniques are limited to run
with a graphics processing unit (GPU) in a real-time environment. To achieve
real-time 3D object detec... | [
{
"created": "Tue, 24 Mar 2020 05:36:53 GMT",
"version": "v1"
}
] | 2020-08-14 | [
[
"Li",
"Xuesong",
""
],
[
"Guivant",
"Jose",
""
],
[
"Khan",
"Subhan",
""
]
] | The task of detecting 3D objects is important to various robotic applications. The existing deep learning-based detection techniques have achieved impressive performance. However, these techniques are limited to run with a graphics processing unit (GPU) in a real-time environment. To achieve real-time 3D object detecti... |
2310.15642 | Andr\'e Silva | Nuno Saavedra, Andr\'e Silva, Martin Monperrus | GitBug-Actions: Building Reproducible Bug-Fix Benchmarks with GitHub
Actions | Accepted to ICSE 2024 Demo | Proceedings of ICSE Tool, 2024 | 10.1145/3639478.3640023 | null | cs.SE | http://creativecommons.org/licenses/by-sa/4.0/ | Bug-fix benchmarks are fundamental in advancing various sub-fields of
software engineering such as automatic program repair (APR) and fault
localization (FL). A good benchmark must include recent examples that
accurately reflect technologies and development practices of today. To be
executable in the long term, a ben... | [
{
"created": "Tue, 24 Oct 2023 09:04:14 GMT",
"version": "v1"
},
{
"created": "Tue, 7 Nov 2023 13:25:08 GMT",
"version": "v2"
},
{
"created": "Sun, 21 Jan 2024 12:01:33 GMT",
"version": "v3"
}
] | 2024-03-15 | [
[
"Saavedra",
"Nuno",
""
],
[
"Silva",
"André",
""
],
[
"Monperrus",
"Martin",
""
]
] | Bug-fix benchmarks are fundamental in advancing various sub-fields of software engineering such as automatic program repair (APR) and fault localization (FL). A good benchmark must include recent examples that accurately reflect technologies and development practices of today. To be executable in the long term, a bench... |
1507.02531 | Robert Koenighofer | Roderick Bloem and Ruediger Ehlers and Robert Koenighofer | Cooperative Reactive Synthesis | 18 pages, 3 figures. This is an extended version of [7], featuring an
additional appendix | null | null | null | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A modern approach to engineering correct-by-construction systems is to
synthesize them automatically from formal specifications. Oftentimes, a system
can only satisfy its guarantees if certain environment assumptions hold, which
motivates their inclusion in the system specification. Experience with modern
synthesis a... | [
{
"created": "Thu, 9 Jul 2015 14:39:25 GMT",
"version": "v1"
}
] | 2015-07-10 | [
[
"Bloem",
"Roderick",
""
],
[
"Ehlers",
"Ruediger",
""
],
[
"Koenighofer",
"Robert",
""
]
] | A modern approach to engineering correct-by-construction systems is to synthesize them automatically from formal specifications. Oftentimes, a system can only satisfy its guarantees if certain environment assumptions hold, which motivates their inclusion in the system specification. Experience with modern synthesis app... |
2404.17094 | Yufeng Li | Yufeng Li, Yiwei Ci, Qiusong Yang | TIUP: Effective Processor Verification with Tautology-Induced Universal
Properties | Accepted by ASP-DAC 2024, please note that this is not the final
camera-ready version | null | 10.1109/ASP-DAC58780.2024.10473912. | null | cs.LO cs.AR cs.SY eess.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Design verification is a complex and costly task, especially for large and
intricate processor projects. Formal verification techniques provide advantages
by thoroughly examining design behaviors, but they require extensive labor and
expertise in property formulation. Recent research focuses on verifying designs
usin... | [
{
"created": "Fri, 26 Apr 2024 01:05:36 GMT",
"version": "v1"
}
] | 2024-04-29 | [
[
"Li",
"Yufeng",
""
],
[
"Ci",
"Yiwei",
""
],
[
"Yang",
"Qiusong",
""
]
] | Design verification is a complex and costly task, especially for large and intricate processor projects. Formal verification techniques provide advantages by thoroughly examining design behaviors, but they require extensive labor and expertise in property formulation. Recent research focuses on verifying designs using ... |
2007.04118 | Xiao Yang | Xiao Yang, Dingcheng Yang, Yinpeng Dong, Hang Su, Wenjian Yu, Jun Zhu | RobFR: Benchmarking Adversarial Robustness on Face Recognition | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Face recognition (FR) has recently made substantial progress and achieved
high accuracy on standard benchmarks. However, it has raised security concerns
in enormous FR applications because deep CNNs are unusually vulnerable to
adversarial examples, and it is still lack of a comprehensive robustness
evaluation before ... | [
{
"created": "Wed, 8 Jul 2020 13:39:22 GMT",
"version": "v1"
},
{
"created": "Wed, 29 Sep 2021 08:01:13 GMT",
"version": "v2"
}
] | 2021-09-30 | [
[
"Yang",
"Xiao",
""
],
[
"Yang",
"Dingcheng",
""
],
[
"Dong",
"Yinpeng",
""
],
[
"Su",
"Hang",
""
],
[
"Yu",
"Wenjian",
""
],
[
"Zhu",
"Jun",
""
]
] | Face recognition (FR) has recently made substantial progress and achieved high accuracy on standard benchmarks. However, it has raised security concerns in enormous FR applications because deep CNNs are unusually vulnerable to adversarial examples, and it is still lack of a comprehensive robustness evaluation before a ... |
1703.07387 | Tamal Dey | Tamal K. Dey, Facundo Memoli, Yusu Wang | Topological Analysis of Nerves, Reeb Spaces, Mappers, and Multiscale
Mappers | Full version of the paper appearing in International Symposium on
Computational Geometry, 2017 | null | null | null | cs.CG math.AT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Data analysis often concerns not only the space where data come from, but
also various types of maps attached to data. In recent years, several related
structures have been used to study maps on data, including Reeb spaces, mappers
and multiscale mappers. The construction of these structures also relies on the
so-cal... | [
{
"created": "Tue, 21 Mar 2017 18:50:24 GMT",
"version": "v1"
}
] | 2017-03-23 | [
[
"Dey",
"Tamal K.",
""
],
[
"Memoli",
"Facundo",
""
],
[
"Wang",
"Yusu",
""
]
] | Data analysis often concerns not only the space where data come from, but also various types of maps attached to data. In recent years, several related structures have been used to study maps on data, including Reeb spaces, mappers and multiscale mappers. The construction of these structures also relies on the so-calle... |
1707.02000 | Kamesh Madduri | Humayun Kabir, Kamesh Madduri | Shared-memory Graph Truss Decomposition | 10 pages, conference submission | null | null | null | cs.DC cs.DS cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present PKT, a new shared-memory parallel algorithm and OpenMP
implementation for the truss decomposition of large sparse graphs. A k-truss is
a dense subgraph definition that can be considered a relaxation of a clique.
Truss decomposition refers to a partitioning of all the edges in the graph
based on their k-tru... | [
{
"created": "Fri, 7 Jul 2017 00:09:09 GMT",
"version": "v1"
}
] | 2017-07-10 | [
[
"Kabir",
"Humayun",
""
],
[
"Madduri",
"Kamesh",
""
]
] | We present PKT, a new shared-memory parallel algorithm and OpenMP implementation for the truss decomposition of large sparse graphs. A k-truss is a dense subgraph definition that can be considered a relaxation of a clique. Truss decomposition refers to a partitioning of all the edges in the graph based on their k-truss... |
1907.07388 | Samarth Manoj Brahmbhatt | Samarth Brahmbhatt, Charles C. Kemp and James Hays | Towards Markerless Grasp Capture | Third Workshop on Computer Vision for AR/VR, CVPR 2019 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Humans excel at grasping objects and manipulating them. Capturing human
grasps is important for understanding grasping behavior and reconstructing it
realistically in Virtual Reality (VR). However, grasp capture - capturing the
pose of a hand grasping an object, and orienting it w.r.t. the object - is
difficult becau... | [
{
"created": "Wed, 17 Jul 2019 08:41:21 GMT",
"version": "v1"
}
] | 2019-07-18 | [
[
"Brahmbhatt",
"Samarth",
""
],
[
"Kemp",
"Charles C.",
""
],
[
"Hays",
"James",
""
]
] | Humans excel at grasping objects and manipulating them. Capturing human grasps is important for understanding grasping behavior and reconstructing it realistically in Virtual Reality (VR). However, grasp capture - capturing the pose of a hand grasping an object, and orienting it w.r.t. the object - is difficult because... |
2201.09536 | Thang X. Vu | Thang X. Vu, Nicola Maturo, Symeon Chatzinotas, Joel Grotz, Tom
Christophory, Bj\"orn Ottersten | Dynamic Bandwidth Allocation and Edge Caching Optimization for Nonlinear
Content Delivery through Flexible Multibeam Satellites | Accepted to IEEE ICC 2022 | null | null | null | cs.IT math.IT | http://creativecommons.org/licenses/by/4.0/ | The next generation multibeam satellites open up a new way to design
satellite communication channels with the full flexibility in bandwidth,
transmit power and beam coverage management. In this paper, we exploit the
flexible multibeam satellite capabilities and the geographical distribution of
users to improve the p... | [
{
"created": "Mon, 24 Jan 2022 09:07:41 GMT",
"version": "v1"
}
] | 2022-01-25 | [
[
"Vu",
"Thang X.",
""
],
[
"Maturo",
"Nicola",
""
],
[
"Chatzinotas",
"Symeon",
""
],
[
"Grotz",
"Joel",
""
],
[
"Christophory",
"Tom",
""
],
[
"Ottersten",
"Björn",
""
]
] | The next generation multibeam satellites open up a new way to design satellite communication channels with the full flexibility in bandwidth, transmit power and beam coverage management. In this paper, we exploit the flexible multibeam satellite capabilities and the geographical distribution of users to improve the per... |
2206.13773 | Max Koster | Max Koster | On Relaxation of Dominant Sets | null | null | null | null | cs.DS cs.DM math.CO | http://creativecommons.org/licenses/by/4.0/ | In a graph $G = (V,E)$, a k-ruling set $S$ is one in which all vertices $V$ \
$S$ are at most $k$ distance from $S$. Finding a minimum k-ruling set is
intrinsically linked to the minimum dominating set problem and maximal
independent set problem, which have been extensively studied in graph theory.
This paper present... | [
{
"created": "Tue, 28 Jun 2022 05:59:51 GMT",
"version": "v1"
}
] | 2022-06-29 | [
[
"Koster",
"Max",
""
]
] | In a graph $G = (V,E)$, a k-ruling set $S$ is one in which all vertices $V$ \ $S$ are at most $k$ distance from $S$. Finding a minimum k-ruling set is intrinsically linked to the minimum dominating set problem and maximal independent set problem, which have been extensively studied in graph theory. This paper presents ... |
2004.11992 | Bram Wallace | Bram Wallace, Bharath Hariharan | Extending and Analyzing Self-Supervised Learning Across Domains | null | null | null | null | cs.CV cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Self-supervised representation learning has achieved impressive results in
recent years, with experiments primarily coming on ImageNet or other similarly
large internet imagery datasets. There has been little to no work with these
methods on other smaller domains, such as satellite, textural, or biological
imagery. W... | [
{
"created": "Fri, 24 Apr 2020 21:18:02 GMT",
"version": "v1"
},
{
"created": "Mon, 17 Aug 2020 16:13:46 GMT",
"version": "v2"
}
] | 2020-08-18 | [
[
"Wallace",
"Bram",
""
],
[
"Hariharan",
"Bharath",
""
]
] | Self-supervised representation learning has achieved impressive results in recent years, with experiments primarily coming on ImageNet or other similarly large internet imagery datasets. There has been little to no work with these methods on other smaller domains, such as satellite, textural, or biological imagery. We ... |
2110.00821 | Elisa Claire Alem\'an Carre\'on | Elisa Claire Alem\'an Carre\'on and Hirofumi Nonaka and Toru Hiraoka | Relation Analysis between Hotel Review Rating Scores and Sentiment
Analysis of Reviews by Chinese Tourists Visiting Japan | Translation of the original in Japanese | The Japanese Journal of the Institute of Industrial Applications
Engineers (JJIIAE), 2018, Vol. 6, No. 2. pp. 95-99 | 10.12792/jjiiae.6.2.95 | null | cs.IR | http://creativecommons.org/licenses/by-nc-sa/4.0/ | In current times, the importance of online hotel review sites has become more
and more apparent. Users of these sites reference of reviews strongly
influences their purchase behavior and as such, reviews are important to
companies and researchers alike. The majority of review sites offer both text
reviews and numeric... | [
{
"created": "Sat, 2 Oct 2021 15:07:46 GMT",
"version": "v1"
}
] | 2021-10-05 | [
[
"Carreón",
"Elisa Claire Alemán",
""
],
[
"Nonaka",
"Hirofumi",
""
],
[
"Hiraoka",
"Toru",
""
]
] | In current times, the importance of online hotel review sites has become more and more apparent. Users of these sites reference of reviews strongly influences their purchase behavior and as such, reviews are important to companies and researchers alike. The majority of review sites offer both text reviews and numerical... |
2107.07771 | Yajing Sun | Yajing Sun, Yue Hu, Luxi Xing, Yuqiang Xie, Xiangpeng Wei | Know Deeper: Knowledge-Conversation Cyclic Utilization Mechanism for
Open-domain Dialogue Generation | null | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | End-to-End intelligent neural dialogue systems suffer from the problems of
generating inconsistent and repetitive responses. Existing dialogue models pay
attention to unilaterally incorporating personal knowledge into the dialog
while ignoring the fact that incorporating the personality-related conversation
informati... | [
{
"created": "Fri, 16 Jul 2021 08:59:06 GMT",
"version": "v1"
}
] | 2021-07-19 | [
[
"Sun",
"Yajing",
""
],
[
"Hu",
"Yue",
""
],
[
"Xing",
"Luxi",
""
],
[
"Xie",
"Yuqiang",
""
],
[
"Wei",
"Xiangpeng",
""
]
] | End-to-End intelligent neural dialogue systems suffer from the problems of generating inconsistent and repetitive responses. Existing dialogue models pay attention to unilaterally incorporating personal knowledge into the dialog while ignoring the fact that incorporating the personality-related conversation information... |
1708.05125 | Feiyun Zhu | Feiyun Zhu | Hyperspectral Unmixing: Ground Truth Labeling, Datasets, Benchmark
Performances and Survey | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Hyperspectral unmixing (HU) is a very useful and increasingly popular
preprocessing step for a wide range of hyperspectral applications. However, the
HU research has been constrained a lot by three factors: (a) the number of
hyperspectral images (especially the ones with ground truths) are very limited;
(b) the groun... | [
{
"created": "Thu, 17 Aug 2017 03:35:02 GMT",
"version": "v1"
},
{
"created": "Wed, 11 Oct 2017 16:22:06 GMT",
"version": "v2"
}
] | 2017-10-12 | [
[
"Zhu",
"Feiyun",
""
]
] | Hyperspectral unmixing (HU) is a very useful and increasingly popular preprocessing step for a wide range of hyperspectral applications. However, the HU research has been constrained a lot by three factors: (a) the number of hyperspectral images (especially the ones with ground truths) are very limited; (b) the ground ... |
2308.14404 | Forouzan Farzinnejad | Forouzan Farzinnejad, Javad Rasti, Navid Khezrian, Jens Grubert | The Effect of an Exergame on the Shadow Play Skill Based on Muscle
Memory for Young Female Participants: The Case of Forehand Drive in Table
Tennis | 9 pages, 6 figures, The 22nd IEEE International Symposium on Mixed
and Augmented Reality (ISMAR) | null | null | null | cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Learning and practicing table tennis with traditional methods is a long,
tedious process and may even lead to the internalization of incorrect
techniques if not supervised by a coach. To overcome these issues, the
presented study proposes an exergame with the aim of enhancing young female
novice players' performance ... | [
{
"created": "Mon, 28 Aug 2023 08:39:26 GMT",
"version": "v1"
}
] | 2023-08-29 | [
[
"Farzinnejad",
"Forouzan",
""
],
[
"Rasti",
"Javad",
""
],
[
"Khezrian",
"Navid",
""
],
[
"Grubert",
"Jens",
""
]
] | Learning and practicing table tennis with traditional methods is a long, tedious process and may even lead to the internalization of incorrect techniques if not supervised by a coach. To overcome these issues, the presented study proposes an exergame with the aim of enhancing young female novice players' performance by... |
2204.03503 | Nicola Strisciuglio | Stefan Haller, Adina Aldea, Christin Seifert, Nicola Strisciuglio | Survey on Automated Short Answer Grading with Deep Learning: from Word
Embeddings to Transformers | Under review | null | null | null | cs.CL cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | Automated short answer grading (ASAG) has gained attention in education as a
means to scale educational tasks to the growing number of students. Recent
progress in Natural Language Processing and Machine Learning has largely
influenced the field of ASAG, of which we survey the recent research
advancements. We complem... | [
{
"created": "Fri, 11 Mar 2022 13:47:08 GMT",
"version": "v1"
}
] | 2022-04-08 | [
[
"Haller",
"Stefan",
""
],
[
"Aldea",
"Adina",
""
],
[
"Seifert",
"Christin",
""
],
[
"Strisciuglio",
"Nicola",
""
]
] | Automated short answer grading (ASAG) has gained attention in education as a means to scale educational tasks to the growing number of students. Recent progress in Natural Language Processing and Machine Learning has largely influenced the field of ASAG, of which we survey the recent research advancements. We complemen... |
2202.05433 | Jieyu Zhang | Jieyu Zhang, Cheng-Yu Hsieh, Yue Yu, Chao Zhang, Alexander Ratner | A Survey on Programmatic Weak Supervision | 8 pages | null | null | null | cs.LG cs.AI stat.AP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Labeling training data has become one of the major roadblocks to using
machine learning. Among various weak supervision paradigms, programmatic weak
supervision (PWS) has achieved remarkable success in easing the manual labeling
bottleneck by programmatically synthesizing training labels from multiple
potentially noi... | [
{
"created": "Fri, 11 Feb 2022 04:05:38 GMT",
"version": "v1"
},
{
"created": "Mon, 14 Feb 2022 05:45:58 GMT",
"version": "v2"
}
] | 2022-02-15 | [
[
"Zhang",
"Jieyu",
""
],
[
"Hsieh",
"Cheng-Yu",
""
],
[
"Yu",
"Yue",
""
],
[
"Zhang",
"Chao",
""
],
[
"Ratner",
"Alexander",
""
]
] | Labeling training data has become one of the major roadblocks to using machine learning. Among various weak supervision paradigms, programmatic weak supervision (PWS) has achieved remarkable success in easing the manual labeling bottleneck by programmatically synthesizing training labels from multiple potentially noisy... |
1607.03408 | Gabriel Martins Dias | Gabriel Martins Dias | Performance Optimization of WSNs using External Information | Published in: IEEE 14th International Symposium and Workshops on a
World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2013 (copyright
has been transferred to IEEE) | null | 10.1109/WoWMoM.2013.6583430 | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The goal of this work is to describe a self-management system that correlates
data sensed by different Wireless Sensor Networks (WSNs) and adjusts the number
of active nodes in each network to provide an appropriate amount of
measurements. The architecture considers the factors that make the external
data relevant to... | [
{
"created": "Tue, 12 Jul 2016 15:35:42 GMT",
"version": "v1"
}
] | 2016-07-13 | [
[
"Dias",
"Gabriel Martins",
""
]
] | The goal of this work is to describe a self-management system that correlates data sensed by different Wireless Sensor Networks (WSNs) and adjusts the number of active nodes in each network to provide an appropriate amount of measurements. The architecture considers the factors that make the external data relevant to t... |
1907.04592 | Alexey Potapov | Alexey Potapov, Anatoly Belikov, Vitaly Bogdanov, Alexander Scherbatiy | Differentiable Probabilistic Logic Networks | null | null | null | null | cs.AI cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Probabilistic logic reasoning is a central component of such cognitive
architectures as OpenCog. However, as an integrative architecture, OpenCog
facilitates cognitive synergy via hybridization of different inference methods.
In this paper, we introduce a differentiable version of Probabilistic Logic
networks, which ... | [
{
"created": "Wed, 10 Jul 2019 09:44:10 GMT",
"version": "v1"
}
] | 2019-07-11 | [
[
"Potapov",
"Alexey",
""
],
[
"Belikov",
"Anatoly",
""
],
[
"Bogdanov",
"Vitaly",
""
],
[
"Scherbatiy",
"Alexander",
""
]
] | Probabilistic logic reasoning is a central component of such cognitive architectures as OpenCog. However, as an integrative architecture, OpenCog facilitates cognitive synergy via hybridization of different inference methods. In this paper, we introduce a differentiable version of Probabilistic Logic networks, which ru... |
2104.04996 | Ran Tamir (Averbuch) | Ran Tamir (Averbuch), Ariel Livshits, and Yonatan Shadmi | Simple Majority Consensus in Networks with Unreliable Communication | null | null | 10.3390/e24030333 | null | cs.IT cs.DC math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work, we analyze the performance of a simple majority-rule protocol
solving a fundamental coordination problem in distributed systems -
\emph{binary majority consensus}, in the presence of probabilistic message
loss. Using probabilistic analysis for a large scale, fully-connected, network
of $2n$ agents, we p... | [
{
"created": "Sun, 11 Apr 2021 11:36:21 GMT",
"version": "v1"
}
] | 2022-03-09 | [
[
"Tamir",
"Ran",
"",
"Averbuch"
],
[
"Livshits",
"Ariel",
""
],
[
"Shadmi",
"Yonatan",
""
]
] | In this work, we analyze the performance of a simple majority-rule protocol solving a fundamental coordination problem in distributed systems - \emph{binary majority consensus}, in the presence of probabilistic message loss. Using probabilistic analysis for a large scale, fully-connected, network of $2n$ agents, we pro... |
2011.00616 | Alexander Wolpert | Evgeny Dantsin and Alexander Wolpert | Similarity Between Points in Metric Measure Spaces | 10 pages, 2 figures. In: Proceedings of the 13th International
Conference on Similarity Search and Applications, SISAP 2020. Vol. 12440.
Lecture Notes in Computer Science. Springer, 2020, pp. 177-184 | null | null | null | cs.DM | http://creativecommons.org/licenses/by/4.0/ | This paper is about similarity between objects that can be represented as
points in metric measure spaces. A metric measure space is a metric space that
is also equipped with a measure. For example, a network with distances between
its nodes and weights assigned to its nodes is a metric measure space. Given
points x ... | [
{
"created": "Sun, 1 Nov 2020 19:52:54 GMT",
"version": "v1"
}
] | 2020-11-03 | [
[
"Dantsin",
"Evgeny",
""
],
[
"Wolpert",
"Alexander",
""
]
] | This paper is about similarity between objects that can be represented as points in metric measure spaces. A metric measure space is a metric space that is also equipped with a measure. For example, a network with distances between its nodes and weights assigned to its nodes is a metric measure space. Given points x an... |
2007.15652 | Peyman Moghadam | Thomas Lowe, Peyman Moghadam, Everard Edwards, Jason Williams | Canopy Density Estimation in Perennial Horticulture Crops Using 3D
Spinning Lidar SLAM | Accepted to Journal of Field Robotics. More information at
https://github.com/csiro-robotics/agscan3d | null | 10.1002/rob.22006 | null | cs.RO eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a novel, canopy density estimation solution using a 3D ray cloud
representation for perennial horticultural crops at the field scale. To attain
high spatial and temporal fidelity in field conditions, we propose the
application of continuous-time 3D SLAM (Simultaneous Localisation and Mapping)
to a spinning... | [
{
"created": "Thu, 30 Jul 2020 05:51:38 GMT",
"version": "v1"
},
{
"created": "Tue, 15 Dec 2020 00:56:20 GMT",
"version": "v2"
}
] | 2020-12-16 | [
[
"Lowe",
"Thomas",
""
],
[
"Moghadam",
"Peyman",
""
],
[
"Edwards",
"Everard",
""
],
[
"Williams",
"Jason",
""
]
] | We propose a novel, canopy density estimation solution using a 3D ray cloud representation for perennial horticultural crops at the field scale. To attain high spatial and temporal fidelity in field conditions, we propose the application of continuous-time 3D SLAM (Simultaneous Localisation and Mapping) to a spinning l... |
1803.07724 | Jasdeep Singh | Jasdeep Singh, Vincent Ying, Alex Nutkiewicz | Attention on Attention: Architectures for Visual Question Answering
(VQA) | Visual Question Answering Project | null | null | null | cs.CL cs.AI cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Visual Question Answering (VQA) is an increasingly popular topic in deep
learning research, requiring coordination of natural language processing and
computer vision modules into a single architecture. We build upon the model
which placed first in the VQA Challenge by developing thirteen new attention
mechanisms and ... | [
{
"created": "Wed, 21 Mar 2018 03:05:58 GMT",
"version": "v1"
}
] | 2018-03-22 | [
[
"Singh",
"Jasdeep",
""
],
[
"Ying",
"Vincent",
""
],
[
"Nutkiewicz",
"Alex",
""
]
] | Visual Question Answering (VQA) is an increasingly popular topic in deep learning research, requiring coordination of natural language processing and computer vision modules into a single architecture. We build upon the model which placed first in the VQA Challenge by developing thirteen new attention mechanisms and in... |
2408.04232 | Wei Zhang | Wei Zhang, Peng Tang | Enhanced Traffic Flow Prediction with Multi-Segment Fusion Tensor Graph
Convolutional Networks | null | null | null | null | cs.LG cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Accurate traffic Flow Prediction can assist in traffic management, route
planning, and congestion mitigation, which holds significant importance in
enhancing the efficiency and reliability of intelligent transportation systems
(ITS). However, existing traffic flow prediction models suffer from limitations
in capturin... | [
{
"created": "Thu, 8 Aug 2024 05:37:17 GMT",
"version": "v1"
}
] | 2024-08-09 | [
[
"Zhang",
"Wei",
""
],
[
"Tang",
"Peng",
""
]
] | Accurate traffic Flow Prediction can assist in traffic management, route planning, and congestion mitigation, which holds significant importance in enhancing the efficiency and reliability of intelligent transportation systems (ITS). However, existing traffic flow prediction models suffer from limitations in capturing ... |
2211.03128 | Giuseppe Vietri | Travis Dick, Cynthia Dwork, Michael Kearns, Terrance Liu, Aaron Roth,
Giuseppe Vietri, Zhiwei Steven Wu | Confidence-Ranked Reconstruction of Census Microdata from Published
Statistics | null | null | 10.1073/pnas.2218605120 | null | cs.CY cs.CR cs.LG | http://creativecommons.org/licenses/by/4.0/ | A reconstruction attack on a private dataset $D$ takes as input some publicly
accessible information about the dataset and produces a list of candidate
elements of $D$. We introduce a new class of data reconstruction attacks based
on randomized methods for non-convex optimization. We empirically demonstrate
that our ... | [
{
"created": "Sun, 6 Nov 2022 14:08:43 GMT",
"version": "v1"
},
{
"created": "Mon, 6 Feb 2023 17:32:02 GMT",
"version": "v2"
}
] | 2023-03-29 | [
[
"Dick",
"Travis",
""
],
[
"Dwork",
"Cynthia",
""
],
[
"Kearns",
"Michael",
""
],
[
"Liu",
"Terrance",
""
],
[
"Roth",
"Aaron",
""
],
[
"Vietri",
"Giuseppe",
""
],
[
"Wu",
"Zhiwei Steven",
""
]
] | A reconstruction attack on a private dataset $D$ takes as input some publicly accessible information about the dataset and produces a list of candidate elements of $D$. We introduce a new class of data reconstruction attacks based on randomized methods for non-convex optimization. We empirically demonstrate that our at... |
2302.14543 | Himanshu . | Himanshu, Jinraj V Pushpangathan and Harikumar Kandath | RRT and Velocity Obstacles-based motion planning for Unmanned Aircraft
Systems Traffic Management (UTM) | Currently under review in The 2023 International Conference On
Unmanned Aircraft Systems | null | null | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | In this paper, an algorithm for Unmanned Aircraft Systems Traffic Management
(UTM) for a finite number of unmanned aerial vehicles (UAVs) is proposed. This
algorithm is developed by combining the Rapidly-Exploring Random Trees (RRT)
and Velocity Obstacle (VO) algorithms and is referred to as the RRT-VO UTM
algorithm.... | [
{
"created": "Tue, 28 Feb 2023 13:08:11 GMT",
"version": "v1"
}
] | 2023-03-01 | [
[
"Himanshu",
"",
""
],
[
"Pushpangathan",
"Jinraj V",
""
],
[
"Kandath",
"Harikumar",
""
]
] | In this paper, an algorithm for Unmanned Aircraft Systems Traffic Management (UTM) for a finite number of unmanned aerial vehicles (UAVs) is proposed. This algorithm is developed by combining the Rapidly-Exploring Random Trees (RRT) and Velocity Obstacle (VO) algorithms and is referred to as the RRT-VO UTM algorithm. H... |
1710.10800 | Bharath Ramesh | Bharath Ramesh, Hong Yang, Garrick Orchard, Ngoc Anh Le Thi, Shihao
Zhang and Cheng Xiang | DART: Distribution Aware Retinal Transform for Event-based Cameras | 12 pages, revision submitted to TPAMI in Nov 2018 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce a generic visual descriptor, termed as distribution aware
retinal transform (DART), that encodes the structural context using log-polar
grids for event cameras. The DART descriptor is applied to four different
problems, namely object classification, tracking, detection and feature
matching: (1) The DART ... | [
{
"created": "Mon, 30 Oct 2017 08:08:57 GMT",
"version": "v1"
},
{
"created": "Tue, 13 Nov 2018 02:37:41 GMT",
"version": "v2"
},
{
"created": "Wed, 14 Nov 2018 07:40:55 GMT",
"version": "v3"
}
] | 2018-11-15 | [
[
"Ramesh",
"Bharath",
""
],
[
"Yang",
"Hong",
""
],
[
"Orchard",
"Garrick",
""
],
[
"Thi",
"Ngoc Anh Le",
""
],
[
"Zhang",
"Shihao",
""
],
[
"Xiang",
"Cheng",
""
]
] | We introduce a generic visual descriptor, termed as distribution aware retinal transform (DART), that encodes the structural context using log-polar grids for event cameras. The DART descriptor is applied to four different problems, namely object classification, tracking, detection and feature matching: (1) The DART fe... |
1008.5189 | Anastasia Paparrizou Ms | Thanasis Balafoutis, Anastasia Paparrizou, Kostas Stergiou and Toby
Walsh | Improving the Performance of maxRPC | null | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Max Restricted Path Consistency (maxRPC) is a local consistency for binary
constraints that can achieve considerably stronger pruning than arc
consistency. However, existing maxRRC algorithms suffer from overheads and
redundancies as they can repeatedly perform many constraint checks without
triggering any value dele... | [
{
"created": "Mon, 30 Aug 2010 23:50:33 GMT",
"version": "v1"
}
] | 2010-09-01 | [
[
"Balafoutis",
"Thanasis",
""
],
[
"Paparrizou",
"Anastasia",
""
],
[
"Stergiou",
"Kostas",
""
],
[
"Walsh",
"Toby",
""
]
] | Max Restricted Path Consistency (maxRPC) is a local consistency for binary constraints that can achieve considerably stronger pruning than arc consistency. However, existing maxRRC algorithms suffer from overheads and redundancies as they can repeatedly perform many constraint checks without triggering any value deleti... |
2110.11155 | Luca Traini PhD | Luca Traini, Vittorio Cortellessa | DeLag: Using Multi-Objective Optimization to Enhance the Detection of
Latency Degradation Patterns in Service-based Systems | Accepted for publication in IEEE Transactions on Software Engineering
(TSE) | null | 10.1109/TSE.2023.3266041 | null | cs.SE cs.LG cs.PF | http://creativecommons.org/licenses/by/4.0/ | Performance debugging in production is a fundamental activity in modern
service-based systems. The diagnosis of performance issues is often
time-consuming, since it requires thorough inspection of large volumes of
traces and performance indices. In this paper we present DeLag, a novel
automated search-based approach ... | [
{
"created": "Thu, 21 Oct 2021 13:59:32 GMT",
"version": "v1"
},
{
"created": "Fri, 30 Sep 2022 10:58:53 GMT",
"version": "v2"
},
{
"created": "Thu, 29 Dec 2022 18:53:22 GMT",
"version": "v3"
},
{
"created": "Fri, 7 Apr 2023 14:09:42 GMT",
"version": "v4"
}
] | 2023-04-10 | [
[
"Traini",
"Luca",
""
],
[
"Cortellessa",
"Vittorio",
""
]
] | Performance debugging in production is a fundamental activity in modern service-based systems. The diagnosis of performance issues is often time-consuming, since it requires thorough inspection of large volumes of traces and performance indices. In this paper we present DeLag, a novel automated search-based approach fo... |
2209.03496 | Allen Chang | Allen Chang, Lauren Klein, Marcelo R. Rosales, Weiyang Deng, Beth A.
Smith, Maja J. Matari\'c | Evaluating Temporal Patterns in Applied Infant Affect Recognition | 8 pages, 6 figures, 10th International Conference on Affective
Computing and Intelligent Interaction (ACII 2022) | null | null | null | cs.HC cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Agents must monitor their partners' affective states continuously in order to
understand and engage in social interactions. However, methods for evaluating
affect recognition do not account for changes in classification performance
that may occur during occlusions or transitions between affective states. This
paper a... | [
{
"created": "Wed, 7 Sep 2022 23:29:15 GMT",
"version": "v1"
}
] | 2022-09-09 | [
[
"Chang",
"Allen",
""
],
[
"Klein",
"Lauren",
""
],
[
"Rosales",
"Marcelo R.",
""
],
[
"Deng",
"Weiyang",
""
],
[
"Smith",
"Beth A.",
""
],
[
"Matarić",
"Maja J.",
""
]
] | Agents must monitor their partners' affective states continuously in order to understand and engage in social interactions. However, methods for evaluating affect recognition do not account for changes in classification performance that may occur during occlusions or transitions between affective states. This paper add... |
2007.15415 | Luca Reggio | Mai Gehrke, Tomas Jakl, Luca Reggio | A Cook's tour of duality in logic: from quantifiers, through Vietoris,
to measures | 29 pages | null | null | null | cs.LO math.CT math.GN math.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We identify and highlight certain landmark results in Samson Abramsky's work
which we believe are fundamental to current developments and future trends. In
particular, we focus on the use of (i) topological duality methods to solve
problems in logic and computer science; (ii) category theory and, more
particularly, f... | [
{
"created": "Thu, 30 Jul 2020 12:22:10 GMT",
"version": "v1"
}
] | 2020-07-31 | [
[
"Gehrke",
"Mai",
""
],
[
"Jakl",
"Tomas",
""
],
[
"Reggio",
"Luca",
""
]
] | We identify and highlight certain landmark results in Samson Abramsky's work which we believe are fundamental to current developments and future trends. In particular, we focus on the use of (i) topological duality methods to solve problems in logic and computer science; (ii) category theory and, more particularly, fre... |
1809.05515 | Marko Angjelichinoski | Marko Angjelichinoski, Kasper Fl{\o}e Trillingsgaard and Petar
Popovski | A Statistical Learning Approach to Ultra-Reliable Low Latency
Communication | Submitted for publication | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Mission-critical applications require Ultra-Reliable Low Latency (URLLC)
wireless connections, where the packet error rate (PER) goes down to $10^{-9}$.
Fulfillment of the bold reliability figures becomes meaningful only if it can
be related to a statistical model in which the URLLC system operates. However,
this mod... | [
{
"created": "Fri, 14 Sep 2018 17:30:58 GMT",
"version": "v1"
}
] | 2018-09-17 | [
[
"Angjelichinoski",
"Marko",
""
],
[
"Trillingsgaard",
"Kasper Fløe",
""
],
[
"Popovski",
"Petar",
""
]
] | Mission-critical applications require Ultra-Reliable Low Latency (URLLC) wireless connections, where the packet error rate (PER) goes down to $10^{-9}$. Fulfillment of the bold reliability figures becomes meaningful only if it can be related to a statistical model in which the URLLC system operates. However, this model... |
2406.11081 | Sara Ahmadi | Sara Ahmadi, Peter Desain, Jordy Thielen | A Bayesian dynamic stopping method for evoked response brain-computer
interfacing | null | null | null | null | cs.HC | http://creativecommons.org/licenses/by/4.0/ | As brain-computer interfacing (BCI) systems transition from assistive
technology to more diverse applications, their speed, reliability, and user
experience become increasingly important. Dynamic stopping methods enhance BCI
system speed by deciding at any moment whether to output a result or wait for
more informatio... | [
{
"created": "Sun, 16 Jun 2024 21:41:48 GMT",
"version": "v1"
}
] | 2024-06-18 | [
[
"Ahmadi",
"Sara",
""
],
[
"Desain",
"Peter",
""
],
[
"Thielen",
"Jordy",
""
]
] | As brain-computer interfacing (BCI) systems transition from assistive technology to more diverse applications, their speed, reliability, and user experience become increasingly important. Dynamic stopping methods enhance BCI system speed by deciding at any moment whether to output a result or wait for more information.... |
1506.09075 | Byeongkeun Kang | Yuanyuan Wu, Xiaohai He, Byeongkeun Kang, Haiying Song, and Truong Q.
Nguyen | Long-Range Motion Trajectories Extraction of Articulated Human Using
Mesh Evolution | IEEE Signal Processing Letters | null | 10.1109/LSP.2016.2536647 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This letter presents a novel approach to extract reliable dense and
long-range motion trajectories of articulated human in a video sequence.
Compared with existing approaches that emphasize temporal consistency of each
tracked point, we also consider the spatial structure of tracked points on the
articulated human. W... | [
{
"created": "Tue, 30 Jun 2015 13:18:18 GMT",
"version": "v1"
},
{
"created": "Mon, 29 Feb 2016 17:10:11 GMT",
"version": "v2"
},
{
"created": "Tue, 29 Mar 2016 00:21:40 GMT",
"version": "v3"
}
] | 2016-03-30 | [
[
"Wu",
"Yuanyuan",
""
],
[
"He",
"Xiaohai",
""
],
[
"Kang",
"Byeongkeun",
""
],
[
"Song",
"Haiying",
""
],
[
"Nguyen",
"Truong Q.",
""
]
] | This letter presents a novel approach to extract reliable dense and long-range motion trajectories of articulated human in a video sequence. Compared with existing approaches that emphasize temporal consistency of each tracked point, we also consider the spatial structure of tracked points on the articulated human. We ... |
2305.19860 | Likang Wu | Likang Wu, Zhi Zheng, Zhaopeng Qiu, Hao Wang, Hongchao Gu, Tingjia
Shen, Chuan Qin, Chen Zhu, Hengshu Zhu, Qi Liu, Hui Xiong, Enhong Chen | A Survey on Large Language Models for Recommendation | 34 pages, 7 figures, 2 tables | null | null | null | cs.IR cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large Language Models (LLMs) have emerged as powerful tools in the field of
Natural Language Processing (NLP) and have recently gained significant
attention in the domain of Recommendation Systems (RS). These models, trained
on massive amounts of data using self-supervised learning, have demonstrated
remarkable succe... | [
{
"created": "Wed, 31 May 2023 13:51:26 GMT",
"version": "v1"
},
{
"created": "Thu, 1 Jun 2023 03:22:17 GMT",
"version": "v2"
},
{
"created": "Fri, 4 Aug 2023 02:58:15 GMT",
"version": "v3"
},
{
"created": "Fri, 18 Aug 2023 05:56:05 GMT",
"version": "v4"
},
{
"cre... | 2024-06-19 | [
[
"Wu",
"Likang",
""
],
[
"Zheng",
"Zhi",
""
],
[
"Qiu",
"Zhaopeng",
""
],
[
"Wang",
"Hao",
""
],
[
"Gu",
"Hongchao",
""
],
[
"Shen",
"Tingjia",
""
],
[
"Qin",
"Chuan",
""
],
[
"Zhu",
"Chen",
... | Large Language Models (LLMs) have emerged as powerful tools in the field of Natural Language Processing (NLP) and have recently gained significant attention in the domain of Recommendation Systems (RS). These models, trained on massive amounts of data using self-supervised learning, have demonstrated remarkable success... |
2408.02814 | Shaopeng Fu | Shaopeng Fu, Xuexue Sun, Ke Qing, Tianhang Zheng, Di Wang | Pre-trained Encoder Inference: Revealing Upstream Encoders In Downstream
Machine Learning Services | null | null | null | null | cs.LG cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Though pre-trained encoders can be easily accessed online to build downstream
machine learning (ML) services quickly, various attacks have been designed to
compromise the security and privacy of these encoders. While most attacks
target encoders on the upstream side, it remains unknown how an encoder could
be threate... | [
{
"created": "Mon, 5 Aug 2024 20:27:54 GMT",
"version": "v1"
}
] | 2024-08-07 | [
[
"Fu",
"Shaopeng",
""
],
[
"Sun",
"Xuexue",
""
],
[
"Qing",
"Ke",
""
],
[
"Zheng",
"Tianhang",
""
],
[
"Wang",
"Di",
""
]
] | Though pre-trained encoders can be easily accessed online to build downstream machine learning (ML) services quickly, various attacks have been designed to compromise the security and privacy of these encoders. While most attacks target encoders on the upstream side, it remains unknown how an encoder could be threatene... |
2305.00077 | Binnur Gorer | Binnur G\"orer and Fatma Ba\c{s}ak Aydemir | Exploring Emerging Technologies for Requirements Elicitation Interview
Training: Empirical Assessment of Robotic and Virtual Tutors | Author submitted manuscript | null | null | null | cs.SE cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Requirements elicitation interviews are a widely adopted technique, where the
interview success heavily depends on the interviewer's preparedness and
communication skills. Students can enhance these skills through practice
interviews. However, organizing practice interviews for many students presents
scalability chal... | [
{
"created": "Fri, 28 Apr 2023 20:03:48 GMT",
"version": "v1"
},
{
"created": "Thu, 24 Aug 2023 23:21:20 GMT",
"version": "v2"
},
{
"created": "Wed, 30 Aug 2023 14:39:22 GMT",
"version": "v3"
}
] | 2023-08-31 | [
[
"Görer",
"Binnur",
""
],
[
"Aydemir",
"Fatma Başak",
""
]
] | Requirements elicitation interviews are a widely adopted technique, where the interview success heavily depends on the interviewer's preparedness and communication skills. Students can enhance these skills through practice interviews. However, organizing practice interviews for many students presents scalability challe... |
2103.02270 | Dian Fan | Dian Fan, Xiaojun Yuan, Ying-Jun Angela Zhang | Temporal-Structure-Assisted Gradient Aggregation for Over-the-Air
Federated Edge Learning | null | null | null | null | cs.IT cs.LG math.IT | http://creativecommons.org/licenses/by/4.0/ | In this paper, we investigate over-the-air model aggregation in a federated
edge learning (FEEL) system. We introduce a Markovian probability model to
characterize the intrinsic temporal structure of the model aggregation series.
With this temporal probability model, we formulate the model aggregation
problem as to i... | [
{
"created": "Wed, 3 Mar 2021 09:13:27 GMT",
"version": "v1"
}
] | 2021-03-04 | [
[
"Fan",
"Dian",
""
],
[
"Yuan",
"Xiaojun",
""
],
[
"Zhang",
"Ying-Jun Angela",
""
]
] | In this paper, we investigate over-the-air model aggregation in a federated edge learning (FEEL) system. We introduce a Markovian probability model to characterize the intrinsic temporal structure of the model aggregation series. With this temporal probability model, we formulate the model aggregation problem as to inf... |
2406.08164 | Muhammad Jehanzeb Mirza | Irene Huang, Wei Lin, M. Jehanzeb Mirza, Jacob A. Hansen, Sivan Doveh,
Victor Ion Butoi, Roei Herzig, Assaf Arbelle, Hilde Kuhene, Trevor Darrel,
Chuang Gan, Aude Oliva, Rogerio Feris, Leonid Karlinsky | ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs | The first three authors contributed equally | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Compositional Reasoning (CR) entails grasping the significance of attributes,
relations, and word order. Recent Vision-Language Models (VLMs), comprising a
visual encoder and a Large Language Model (LLM) decoder, have demonstrated
remarkable proficiency in such reasoning tasks. This prompts a crucial
question: have V... | [
{
"created": "Wed, 12 Jun 2024 12:54:27 GMT",
"version": "v1"
}
] | 2024-06-13 | [
[
"Huang",
"Irene",
""
],
[
"Lin",
"Wei",
""
],
[
"Mirza",
"M. Jehanzeb",
""
],
[
"Hansen",
"Jacob A.",
""
],
[
"Doveh",
"Sivan",
""
],
[
"Butoi",
"Victor Ion",
""
],
[
"Herzig",
"Roei",
""
],
[
"Arbe... | Compositional Reasoning (CR) entails grasping the significance of attributes, relations, and word order. Recent Vision-Language Models (VLMs), comprising a visual encoder and a Large Language Model (LLM) decoder, have demonstrated remarkable proficiency in such reasoning tasks. This prompts a crucial question: have VLM... |
2111.00610 | Anurag Katakkar | Anurag Katakkar, Alan W Black | Towards Language Modelling in the Speech Domain Using Sub-word
Linguistic Units | null | null | null | null | cs.CL cs.LG cs.SD eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Language models (LMs) for text data have been studied extensively for their
usefulness in language generation and other downstream tasks. However, language
modelling purely in the speech domain is still a relatively unexplored topic,
with traditional speech LMs often depending on auxiliary text LMs for learning
distr... | [
{
"created": "Sun, 31 Oct 2021 22:48:30 GMT",
"version": "v1"
}
] | 2021-11-02 | [
[
"Katakkar",
"Anurag",
""
],
[
"Black",
"Alan W",
""
]
] | Language models (LMs) for text data have been studied extensively for their usefulness in language generation and other downstream tasks. However, language modelling purely in the speech domain is still a relatively unexplored topic, with traditional speech LMs often depending on auxiliary text LMs for learning distrib... |
2009.01229 | Marialejandra Garcia-Corretjer | Marialejandra Garcia Corretjer, David Miralles, and Raquel Ros | A Theoretical Approach for a Novel Model to Realizing Empathy | 47 pages, 11 figures | null | null | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The first objective of this paper are to introduce a strong theoretical
concept as a proposed model that visualizes the process of realizing empathy,
based on the ample analysis of the collected work in the survey. Secondly, the
intended purpose of this proposed model, is to create an initial blueprint that
may be ap... | [
{
"created": "Thu, 3 Sep 2020 17:21:49 GMT",
"version": "v1"
}
] | 2020-09-04 | [
[
"Corretjer",
"Marialejandra Garcia",
""
],
[
"Miralles",
"David",
""
],
[
"Ros",
"Raquel",
""
]
] | The first objective of this paper are to introduce a strong theoretical concept as a proposed model that visualizes the process of realizing empathy, based on the ample analysis of the collected work in the survey. Secondly, the intended purpose of this proposed model, is to create an initial blueprint that may be appl... |
1712.00811 | Hamoon Mousavi | Hamoon Mousavi | Lower Bounds on Regular Expression Size | 29 pages | null | null | null | cs.FL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce linear programs encoding regular expressions of finite
languages. We show that, given a language, the optimum value of the associated
linear program is a lower bound on the size of any regular expression of the
language. Moreover we show that any regular expression can be turned into a
dual feasible solu... | [
{
"created": "Sun, 3 Dec 2017 18:35:48 GMT",
"version": "v1"
},
{
"created": "Wed, 6 Dec 2017 22:05:17 GMT",
"version": "v2"
}
] | 2017-12-08 | [
[
"Mousavi",
"Hamoon",
""
]
] | We introduce linear programs encoding regular expressions of finite languages. We show that, given a language, the optimum value of the associated linear program is a lower bound on the size of any regular expression of the language. Moreover we show that any regular expression can be turned into a dual feasible soluti... |
1808.07712 | Gurkirt Singh | Gurkirt Singh and Suman Saha and Fabio Cuzzolin | Predicting Action Tubes | ECCV workshop; Anticipating Human Behaviour 2018; 16 page 7 figures | null | null | null | cs.CV cs.AI cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work, we present a method to predict an entire `action tube' (a set
of temporally linked bounding boxes) in a trimmed video just by observing a
smaller subset of it. Predicting where an action is going to take place in the
near future is essential to many computer vision based applications such as
autonomous ... | [
{
"created": "Thu, 23 Aug 2018 12:11:06 GMT",
"version": "v1"
}
] | 2018-08-24 | [
[
"Singh",
"Gurkirt",
""
],
[
"Saha",
"Suman",
""
],
[
"Cuzzolin",
"Fabio",
""
]
] | In this work, we present a method to predict an entire `action tube' (a set of temporally linked bounding boxes) in a trimmed video just by observing a smaller subset of it. Predicting where an action is going to take place in the near future is essential to many computer vision based applications such as autonomous dr... |
2303.12696 | Zhiyuan Hu | Zhiyuan Hu, Yunsheng Li, Jiancheng Lyu, Dashan Gao, Nuno Vasconcelos | Dense Network Expansion for Class Incremental Learning | Accepted by CVPR2023 | null | null | null | cs.CV cs.AI | http://creativecommons.org/licenses/by-nc-nd/4.0/ | The problem of class incremental learning (CIL) is considered.
State-of-the-art approaches use a dynamic architecture based on network
expansion (NE), in which a task expert is added per task. While effective from
a computational standpoint, these methods lead to models that grow quickly with
the number of tasks. A n... | [
{
"created": "Wed, 22 Mar 2023 16:42:26 GMT",
"version": "v1"
}
] | 2023-03-23 | [
[
"Hu",
"Zhiyuan",
""
],
[
"Li",
"Yunsheng",
""
],
[
"Lyu",
"Jiancheng",
""
],
[
"Gao",
"Dashan",
""
],
[
"Vasconcelos",
"Nuno",
""
]
] | The problem of class incremental learning (CIL) is considered. State-of-the-art approaches use a dynamic architecture based on network expansion (NE), in which a task expert is added per task. While effective from a computational standpoint, these methods lead to models that grow quickly with the number of tasks. A new... |
2401.10338 | Jingchao Ni | Jingchao Ni, Gauthier Guinet, Peihong Jiang, Laurent Callot, Andrey
Kan | MELODY: Robust Semi-Supervised Hybrid Model for Entity-Level Online
Anomaly Detection with Multivariate Time Series | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | In large IT systems, software deployment is a crucial process in online
services as their code is regularly updated. However, a faulty code change may
degrade the target service's performance and cause cascading outages in
downstream services. Thus, software deployments should be comprehensively
monitored, and their ... | [
{
"created": "Thu, 18 Jan 2024 19:02:41 GMT",
"version": "v1"
},
{
"created": "Thu, 6 Jun 2024 04:35:00 GMT",
"version": "v2"
}
] | 2024-06-07 | [
[
"Ni",
"Jingchao",
""
],
[
"Guinet",
"Gauthier",
""
],
[
"Jiang",
"Peihong",
""
],
[
"Callot",
"Laurent",
""
],
[
"Kan",
"Andrey",
""
]
] | In large IT systems, software deployment is a crucial process in online services as their code is regularly updated. However, a faulty code change may degrade the target service's performance and cause cascading outages in downstream services. Thus, software deployments should be comprehensively monitored, and their an... |
1705.01143 | Shih-Chieh Su | Shih-Chieh Su | Summarized Network Behavior Prediction | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This work studies the entity-wise topical behavior from massive network logs.
Both the temporal and the spatial relationships of the behavior are explored
with the learning architectures combing the recurrent neural network (RNN) and
the convolutional neural network (CNN). To make the behavioral data appropriate
for ... | [
{
"created": "Tue, 2 May 2017 19:12:23 GMT",
"version": "v1"
}
] | 2017-05-04 | [
[
"Su",
"Shih-Chieh",
""
]
] | This work studies the entity-wise topical behavior from massive network logs. Both the temporal and the spatial relationships of the behavior are explored with the learning architectures combing the recurrent neural network (RNN) and the convolutional neural network (CNN). To make the behavioral data appropriate for th... |
2010.03110 | Sumedh Sontakke | Sumedh A. Sontakke, Arash Mehrjou, Laurent Itti, Bernhard Sch\"olkopf | Causal Curiosity: RL Agents Discovering Self-supervised Experiments for
Causal Representation Learning | International Conference on Machine Learning, PMLR 139, 2021 | null | null | null | cs.LG cs.AI cs.RO | http://creativecommons.org/licenses/by/4.0/ | Animals exhibit an innate ability to learn regularities of the world through
interaction. By performing experiments in their environment, they are able to
discern the causal factors of variation and infer how they affect the world's
dynamics. Inspired by this, we attempt to equip reinforcement learning agents
with th... | [
{
"created": "Wed, 7 Oct 2020 02:07:51 GMT",
"version": "v1"
},
{
"created": "Wed, 14 Apr 2021 23:59:04 GMT",
"version": "v2"
},
{
"created": "Wed, 9 Jun 2021 01:19:39 GMT",
"version": "v3"
},
{
"created": "Fri, 6 Aug 2021 21:53:05 GMT",
"version": "v4"
}
] | 2021-08-10 | [
[
"Sontakke",
"Sumedh A.",
""
],
[
"Mehrjou",
"Arash",
""
],
[
"Itti",
"Laurent",
""
],
[
"Schölkopf",
"Bernhard",
""
]
] | Animals exhibit an innate ability to learn regularities of the world through interaction. By performing experiments in their environment, they are able to discern the causal factors of variation and infer how they affect the world's dynamics. Inspired by this, we attempt to equip reinforcement learning agents with the ... |
1602.00251 | Kaveh Bakhtiyari | Kaveh Bakhtiyari | Do we have privacy in the digital world? | null | null | 10.13140/RG.2.1.2492.5203/2 | null | cs.CR cs.HC cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Not really.
| [
{
"created": "Sun, 31 Jan 2016 14:22:47 GMT",
"version": "v1"
},
{
"created": "Thu, 26 Jan 2017 15:53:55 GMT",
"version": "v2"
}
] | 2017-01-27 | [
[
"Bakhtiyari",
"Kaveh",
""
]
] | Not really. |
2312.00220 | Linzi Xing | Linzi Xing, Quan Tran, Fabian Caba, Franck Dernoncourt, Seunghyun
Yoon, Zhaowen Wang, Trung Bui, Giuseppe Carenini | Multi-Modal Video Topic Segmentation with Dual-Contrastive Domain
Adaptation | Accepted at the 30th International Conference on Multimedia Modeling
(MMM 2024) | null | null | null | cs.MM cs.CL cs.CV | http://creativecommons.org/licenses/by/4.0/ | Video topic segmentation unveils the coarse-grained semantic structure
underlying videos and is essential for other video understanding tasks. Given
the recent surge in multi-modal, relying solely on a single modality is
arguably insufficient. On the other hand, prior solutions for similar tasks
like video scene/shot... | [
{
"created": "Thu, 30 Nov 2023 21:59:05 GMT",
"version": "v1"
}
] | 2023-12-04 | [
[
"Xing",
"Linzi",
""
],
[
"Tran",
"Quan",
""
],
[
"Caba",
"Fabian",
""
],
[
"Dernoncourt",
"Franck",
""
],
[
"Yoon",
"Seunghyun",
""
],
[
"Wang",
"Zhaowen",
""
],
[
"Bui",
"Trung",
""
],
[
"Carenini"... | Video topic segmentation unveils the coarse-grained semantic structure underlying videos and is essential for other video understanding tasks. Given the recent surge in multi-modal, relying solely on a single modality is arguably insufficient. On the other hand, prior solutions for similar tasks like video scene/shot s... |
2004.14793 | Gal Mendelson | Gal Mendelson | A Lower Bound on the stability region of Redundancy-d with FIFO service
discipline | null | null | null | null | cs.PF cs.SY eess.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Redundancy-d (R(d)) is a load balancing method used to route incoming jobs to
K servers, each with its own queue. Every arriving job is replicated into
2<=d<=K tasks, which are then routed to d servers chosen uniformly at random.
When the first task finishes service, the remaining d-1 tasks are cancelled and
the job ... | [
{
"created": "Thu, 30 Apr 2020 14:07:25 GMT",
"version": "v1"
},
{
"created": "Thu, 21 May 2020 18:15:06 GMT",
"version": "v2"
}
] | 2020-05-25 | [
[
"Mendelson",
"Gal",
""
]
] | Redundancy-d (R(d)) is a load balancing method used to route incoming jobs to K servers, each with its own queue. Every arriving job is replicated into 2<=d<=K tasks, which are then routed to d servers chosen uniformly at random. When the first task finishes service, the remaining d-1 tasks are cancelled and the job de... |
2404.00492 | Lijie Hu | Keyuan Cheng, Gang Lin, Haoyang Fei, Yuxuan zhai, Lu Yu, Muhammad Asif
Ali, Lijie Hu, and Di Wang | Multi-hop Question Answering under Temporal Knowledge Editing | 23 pages | null | null | null | cs.CL cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | Multi-hop question answering (MQA) under knowledge editing (KE) has garnered
significant attention in the era of large language models. However, existing
models for MQA under KE exhibit poor performance when dealing with questions
containing explicit temporal contexts. To address this limitation, we propose a
novel f... | [
{
"created": "Sat, 30 Mar 2024 23:22:51 GMT",
"version": "v1"
}
] | 2024-04-02 | [
[
"Cheng",
"Keyuan",
""
],
[
"Lin",
"Gang",
""
],
[
"Fei",
"Haoyang",
""
],
[
"zhai",
"Yuxuan",
""
],
[
"Yu",
"Lu",
""
],
[
"Ali",
"Muhammad Asif",
""
],
[
"Hu",
"Lijie",
""
],
[
"Wang",
"Di",
... | Multi-hop question answering (MQA) under knowledge editing (KE) has garnered significant attention in the era of large language models. However, existing models for MQA under KE exhibit poor performance when dealing with questions containing explicit temporal contexts. To address this limitation, we propose a novel fra... |
1706.02499 | Burak Benligiray | Burak Benligiray, Cihan Topal, Cuneyt Akinlar | SliceType: Fast Gaze Typing with a Merging Keyboard | null | Journal on Multimodal User Interfaces, 2018 | 10.1007/s12193-018-0285-z | null | cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Jitter is an inevitable by-product of gaze detection. Because of this, gaze
typing tends to be a slow and frustrating process. In this paper, we propose
SliceType, a soft keyboard that is optimized for gaze input. Our main design
objective is to use the screen area more efficiently by allocating a larger
area to the ... | [
{
"created": "Thu, 8 Jun 2017 10:06:52 GMT",
"version": "v1"
},
{
"created": "Thu, 8 Mar 2018 13:39:05 GMT",
"version": "v2"
},
{
"created": "Sun, 18 Mar 2018 19:14:36 GMT",
"version": "v3"
},
{
"created": "Thu, 27 Dec 2018 13:59:19 GMT",
"version": "v4"
}
] | 2018-12-31 | [
[
"Benligiray",
"Burak",
""
],
[
"Topal",
"Cihan",
""
],
[
"Akinlar",
"Cuneyt",
""
]
] | Jitter is an inevitable by-product of gaze detection. Because of this, gaze typing tends to be a slow and frustrating process. In this paper, we propose SliceType, a soft keyboard that is optimized for gaze input. Our main design objective is to use the screen area more efficiently by allocating a larger area to the ta... |
2405.07456 | ABDELLAH Zakaria Sellam | Zakaria Abdellah Sellam, Cosimo Distante, Abdelmalik Taleb-Ahmed, Pier
Luigi Mazzeo | Boosting House Price Estimations with Multi-Head Gated Attention | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Evaluating house prices is crucial for various stakeholders, including
homeowners, investors, and policymakers. However, traditional spatial
interpolation methods have limitations in capturing the complex spatial
relationships that affect property values. To address these challenges, we have
developed a new method ca... | [
{
"created": "Mon, 13 May 2024 04:12:03 GMT",
"version": "v1"
}
] | 2024-05-14 | [
[
"Sellam",
"Zakaria Abdellah",
""
],
[
"Distante",
"Cosimo",
""
],
[
"Taleb-Ahmed",
"Abdelmalik",
""
],
[
"Mazzeo",
"Pier Luigi",
""
]
] | Evaluating house prices is crucial for various stakeholders, including homeowners, investors, and policymakers. However, traditional spatial interpolation methods have limitations in capturing the complex spatial relationships that affect property values. To address these challenges, we have developed a new method call... |
2204.07333 | Prabhat Kumar | Prabhat Kumar, Eduardo Fern\'andez | Topology optimization for additive manufacturing with length scale,
overhang, and building orientation constraints | null | null | null | null | cs.CE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents a density-based topology optimization approach
considering additive manufacturing limitations. The presented method considers
the minimum size of parts, the minimum size of cavities, the inability of
printing overhanging parts without the use of sacrificial supporting
structures, and the printing ... | [
{
"created": "Fri, 15 Apr 2022 05:16:58 GMT",
"version": "v1"
}
] | 2022-04-18 | [
[
"Kumar",
"Prabhat",
""
],
[
"Fernández",
"Eduardo",
""
]
] | This paper presents a density-based topology optimization approach considering additive manufacturing limitations. The presented method considers the minimum size of parts, the minimum size of cavities, the inability of printing overhanging parts without the use of sacrificial supporting structures, and the printing di... |
2304.10512 | Orchid Chetia Phukan | Usha Lokala, Orchid Chetia Phukan, Triyasha Ghosh Dastidar, Francois
Lamy, Raminta Daniulaityte, Amit Sheth | "Can We Detect Substance Use Disorder?": Knowledge and Time Aware
Classification on Social Media from Darkweb | null | null | null | null | cs.LG cs.CL cs.SI | http://creativecommons.org/licenses/by/4.0/ | Opioid and substance misuse is rampant in the United States today, with the
phenomenon known as the "opioid crisis". The relationship between substance use
and mental health has been extensively studied, with one possible relationship
being: substance misuse causes poor mental health. However, the lack of
evidence on... | [
{
"created": "Thu, 20 Apr 2023 17:47:13 GMT",
"version": "v1"
}
] | 2023-04-21 | [
[
"Lokala",
"Usha",
""
],
[
"Phukan",
"Orchid Chetia",
""
],
[
"Dastidar",
"Triyasha Ghosh",
""
],
[
"Lamy",
"Francois",
""
],
[
"Daniulaityte",
"Raminta",
""
],
[
"Sheth",
"Amit",
""
]
] | Opioid and substance misuse is rampant in the United States today, with the phenomenon known as the "opioid crisis". The relationship between substance use and mental health has been extensively studied, with one possible relationship being: substance misuse causes poor mental health. However, the lack of evidence on t... |
1604.03178 | Luca de Alfaro | Luca de Alfaro, Michael Shavlovsky, Vassilis Polychronopoulos | Incentives for Truthful Peer Grading | 26 pages | null | null | UCSC-SOE-15-19 | cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Peer grading systems work well only if users have incentives to grade
truthfully. An example of non-truthful grading, that we observed in classrooms,
consists in students assigning the maximum grade to all submissions. With a
naive grading scheme, such as averaging the assigned grades, all students would
receive the ... | [
{
"created": "Mon, 11 Apr 2016 23:56:21 GMT",
"version": "v1"
}
] | 2016-04-13 | [
[
"de Alfaro",
"Luca",
""
],
[
"Shavlovsky",
"Michael",
""
],
[
"Polychronopoulos",
"Vassilis",
""
]
] | Peer grading systems work well only if users have incentives to grade truthfully. An example of non-truthful grading, that we observed in classrooms, consists in students assigning the maximum grade to all submissions. With a naive grading scheme, such as averaging the assigned grades, all students would receive the ma... |
2303.00871 | Lorenzo Mur-Labadia | Lorenzo Mur-Labadia, Ruben Martinez-Cantin and Jose J. Guerrero | Bayesian Deep Learning for Affordance Segmentation in images | 2023 IEEE International Conference on Robotics and Automation (ICRA) | null | null | null | cs.CV cs.AI cs.LG cs.RO | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Affordances are a fundamental concept in robotics since they relate available
actions for an agent depending on its sensory-motor capabilities and the
environment. We present a novel Bayesian deep network to detect affordances in
images, at the same time that we quantify the distribution of the aleatoric and
epistemi... | [
{
"created": "Thu, 2 Mar 2023 00:01:13 GMT",
"version": "v1"
}
] | 2023-03-03 | [
[
"Mur-Labadia",
"Lorenzo",
""
],
[
"Martinez-Cantin",
"Ruben",
""
],
[
"Guerrero",
"Jose J.",
""
]
] | Affordances are a fundamental concept in robotics since they relate available actions for an agent depending on its sensory-motor capabilities and the environment. We present a novel Bayesian deep network to detect affordances in images, at the same time that we quantify the distribution of the aleatoric and epistemic ... |
2211.13720 | Sachit Rao | Wayne Paul Martis and Sachit Rao | Cooperative Collision Avoidance in Mobile Robots using Dynamic Vortex
Potential Fields | null | null | null | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | In this paper, the collision avoidance problem for non-holonomic robots
moving at constant linear speeds in the 2-D plane is considered. The maneuvers
to avoid collisions are designed using dynamic vortex potential fields (PFs)
and their negative gradients; this formulation leads to a reciprocal behaviour
between the... | [
{
"created": "Thu, 24 Nov 2022 17:16:01 GMT",
"version": "v1"
}
] | 2022-11-28 | [
[
"Martis",
"Wayne Paul",
""
],
[
"Rao",
"Sachit",
""
]
] | In this paper, the collision avoidance problem for non-holonomic robots moving at constant linear speeds in the 2-D plane is considered. The maneuvers to avoid collisions are designed using dynamic vortex potential fields (PFs) and their negative gradients; this formulation leads to a reciprocal behaviour between the r... |
2101.10488 | EPTCS | Paul Wilson (University of Southampton), Fabio Zanasi (University
College London) | Reverse Derivative Ascent: A Categorical Approach to Learning Boolean
Circuits | In Proceedings ACT 2020, arXiv:2101.07888 | EPTCS 333, 2021, pp. 247-260 | 10.4204/EPTCS.333.17 | null | cs.LO cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce Reverse Derivative Ascent: a categorical analogue of gradient
based methods for machine learning. Our algorithm is defined at the level of
so-called reverse differential categories. It can be used to learn the
parameters of models which are expressed as morphisms of such categories. Our
motivating exampl... | [
{
"created": "Tue, 26 Jan 2021 00:07:20 GMT",
"version": "v1"
}
] | 2021-01-27 | [
[
"Wilson",
"Paul",
"",
"University of Southampton"
],
[
"Zanasi",
"Fabio",
"",
"University\n College London"
]
] | We introduce Reverse Derivative Ascent: a categorical analogue of gradient based methods for machine learning. Our algorithm is defined at the level of so-called reverse differential categories. It can be used to learn the parameters of models which are expressed as morphisms of such categories. Our motivating example ... |
1511.03532 | Ali Keles | Ali Keles, Ayturk Keles | IBMMS Decision Support Tool For Management of Bank Telemarketing
Campaigns | 15 pages, 4 figures, 4 tables, journal in International Journal of
Database Management Systems, Vol.7, No.5, October 2015 | null | 10.5121/ijdms.2015.7501 | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Although direct marketing is a good method for banks to utilize in the face
of global competition and the financial crisis, it has been shown to exhibit
poor performance. However, there are some drawbacks to direct campaigns, such
as those related to improving the negative attributes that customers ascribe to
banks. ... | [
{
"created": "Wed, 11 Nov 2015 15:26:08 GMT",
"version": "v1"
},
{
"created": "Thu, 12 Nov 2015 14:14:01 GMT",
"version": "v2"
}
] | 2015-11-13 | [
[
"Keles",
"Ali",
""
],
[
"Keles",
"Ayturk",
""
]
] | Although direct marketing is a good method for banks to utilize in the face of global competition and the financial crisis, it has been shown to exhibit poor performance. However, there are some drawbacks to direct campaigns, such as those related to improving the negative attributes that customers ascribe to banks. To... |
1808.08106 | Joseph Schuchart | Joseph Schuchart, Daniel Hackenberg, Robert Sch\"one, Thomas Ilsche,
Ramkumar Nagappan, Michael K. Patterson | The Shift from Processor Power Consumption to Performance Variations:
Fundamental Implications at Scale | null | Computer Science - Research and Development, Vol. 31, pp.
197--205, Nov 2016 | 10.1007/s00450-016-0327-2 | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Intel Haswell-EP processor generation introduces several major
advancements of power control and energy-efficiency features. For
computationally intense applications using advanced vector extension (AVX)
instructions, the processor cannot continuously operate at full speed but
instead reduces its frequency below ... | [
{
"created": "Fri, 24 Aug 2018 12:40:03 GMT",
"version": "v1"
}
] | 2018-08-27 | [
[
"Schuchart",
"Joseph",
""
],
[
"Hackenberg",
"Daniel",
""
],
[
"Schöne",
"Robert",
""
],
[
"Ilsche",
"Thomas",
""
],
[
"Nagappan",
"Ramkumar",
""
],
[
"Patterson",
"Michael K.",
""
]
] | The Intel Haswell-EP processor generation introduces several major advancements of power control and energy-efficiency features. For computationally intense applications using advanced vector extension (AVX) instructions, the processor cannot continuously operate at full speed but instead reduces its frequency below th... |
2012.08483 | Valerio Perrone | Piali Das, Valerio Perrone, Nikita Ivkin, Tanya Bansal, Zohar Karnin,
Huibin Shen, Iaroslav Shcherbatyi, Yotam Elor, Wilton Wu, Aida Zolic, Thibaut
Lienart, Alex Tang, Amr Ahmed, Jean Baptiste Faddoul, Rodolphe Jenatton, Fela
Winkelmolen, Philip Gautier, Leo Dirac, Andre Perunicic, Miroslav
Miladinovic, Giovann... | Amazon SageMaker Autopilot: a white box AutoML solution at scale | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | AutoML systems provide a black-box solution to machine learning problems by
selecting the right way of processing features, choosing an algorithm and
tuning the hyperparameters of the entire pipeline. Although these systems
perform well on many datasets, there is still a non-negligible number of
datasets for which th... | [
{
"created": "Tue, 15 Dec 2020 18:29:04 GMT",
"version": "v1"
},
{
"created": "Wed, 16 Dec 2020 18:51:27 GMT",
"version": "v2"
}
] | 2020-12-17 | [
[
"Das",
"Piali",
""
],
[
"Perrone",
"Valerio",
""
],
[
"Ivkin",
"Nikita",
""
],
[
"Bansal",
"Tanya",
""
],
[
"Karnin",
"Zohar",
""
],
[
"Shen",
"Huibin",
""
],
[
"Shcherbatyi",
"Iaroslav",
""
],
[
"E... | AutoML systems provide a black-box solution to machine learning problems by selecting the right way of processing features, choosing an algorithm and tuning the hyperparameters of the entire pipeline. Although these systems perform well on many datasets, there is still a non-negligible number of datasets for which the ... |
1905.06641 | Lumin Liu | Lumin Liu, Jun Zhang, S. H. Song, Khaled B. Letaief | Client-Edge-Cloud Hierarchical Federated Learning | 6 pages, 4 figures | null | null | null | cs.NI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Federated Learning is a collaborative machine learning framework to train a
deep learning model without accessing clients' private data. Previous works
assume one central parameter server either at the cloud or at the edge. The
cloud server can access more data but with excessive communication overhead and
long laten... | [
{
"created": "Thu, 16 May 2019 10:23:36 GMT",
"version": "v1"
},
{
"created": "Thu, 31 Oct 2019 14:45:01 GMT",
"version": "v2"
}
] | 2019-11-01 | [
[
"Liu",
"Lumin",
""
],
[
"Zhang",
"Jun",
""
],
[
"Song",
"S. H.",
""
],
[
"Letaief",
"Khaled B.",
""
]
] | Federated Learning is a collaborative machine learning framework to train a deep learning model without accessing clients' private data. Previous works assume one central parameter server either at the cloud or at the edge. The cloud server can access more data but with excessive communication overhead and long latency... |
1810.08313 | Jianyu Wang | Jianyu Wang, Gauri Joshi | Adaptive Communication Strategies to Achieve the Best Error-Runtime
Trade-off in Local-Update SGD | Accepted to SysML 2019 | null | null | null | cs.LG cs.DC stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large-scale machine learning training, in particular distributed stochastic
gradient descent, needs to be robust to inherent system variability such as
node straggling and random communication delays. This work considers a
distributed training framework where each worker node is allowed to perform
local model updates... | [
{
"created": "Fri, 19 Oct 2018 00:04:05 GMT",
"version": "v1"
},
{
"created": "Thu, 7 Mar 2019 16:45:02 GMT",
"version": "v2"
}
] | 2019-03-08 | [
[
"Wang",
"Jianyu",
""
],
[
"Joshi",
"Gauri",
""
]
] | Large-scale machine learning training, in particular distributed stochastic gradient descent, needs to be robust to inherent system variability such as node straggling and random communication delays. This work considers a distributed training framework where each worker node is allowed to perform local model updates a... |
1311.5058 | EPTCS | Sebastian Maneth (University of Edinburgh) | Proceedings Second International Workshop on Trends in Tree Automata and
Tree Transducers | null | EPTCS 134, 2013 | 10.4204/EPTCS.134 | null | cs.FL cs.LO cs.PL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This volume contains the papers that were presented at the second
international workshop on Trends in Tree Automata and Transducers (TTATT 2013)
which took place on October 19th, 2013 in Hanoi/Vietnam. The workshop was
colocated with the verification conference ATVA. The first edition of the
workshop was colocated wi... | [
{
"created": "Wed, 20 Nov 2013 14:11:27 GMT",
"version": "v1"
}
] | 2013-11-21 | [
[
"Maneth",
"Sebastian",
"",
"University of Edinburgh"
]
] | This volume contains the papers that were presented at the second international workshop on Trends in Tree Automata and Transducers (TTATT 2013) which took place on October 19th, 2013 in Hanoi/Vietnam. The workshop was colocated with the verification conference ATVA. The first edition of the workshop was colocated with... |
1711.03588 | Carroll Morgan | Annabelle McIver, Carroll Morgan, Benjamin Lucien Kaminski,
Joost-Pieter Katoen | A New Proof Rule for Almost-Sure Termination | V1 to appear in PoPL18. This version collects some existing text into
new example subsection 5.5 and adds a new example 5.6 and makes further
remarks about uncountable branching. The new example 5.6 relates to work on
lexicographic termination methods, also to appear in PoPL18 [Agrawal et al,
2018] | null | null | null | cs.PL cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | An important question for a probabilistic program is whether the probability
mass of all its diverging runs is zero, that is that it terminates "almost
surely". Proving that can be hard, and this paper presents a new method for
doing so; it is expressed in a program logic, and so applies directly to source
code. The ... | [
{
"created": "Thu, 9 Nov 2017 20:29:00 GMT",
"version": "v1"
},
{
"created": "Tue, 26 Dec 2017 01:09:43 GMT",
"version": "v2"
}
] | 2017-12-27 | [
[
"McIver",
"Annabelle",
""
],
[
"Morgan",
"Carroll",
""
],
[
"Kaminski",
"Benjamin Lucien",
""
],
[
"Katoen",
"Joost-Pieter",
""
]
] | An important question for a probabilistic program is whether the probability mass of all its diverging runs is zero, that is that it terminates "almost surely". Proving that can be hard, and this paper presents a new method for doing so; it is expressed in a program logic, and so applies directly to source code. The pr... |
2209.15149 | Alexandros Hollender | Argyrios Deligkas, John Fearnley, Alexandros Hollender, Themistoklis
Melissourgos | Pure-Circuit: Strong Inapproximability for PPAD | Improved inapproximability result for approximate NE in polymatrix
games | null | null | null | cs.CC cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The current state-of-the-art methods for showing inapproximability in PPAD
arise from the $\varepsilon$-Generalized-Circuit ($\varepsilon$-GCircuit)
problem. Rubinstein (2018) showed that there exists a small unknown constant
$\varepsilon$ for which $\varepsilon$-GCircuit is PPAD-hard, and subsequent
work has shown h... | [
{
"created": "Fri, 30 Sep 2022 00:25:04 GMT",
"version": "v1"
},
{
"created": "Fri, 3 Mar 2023 15:41:21 GMT",
"version": "v2"
}
] | 2023-03-06 | [
[
"Deligkas",
"Argyrios",
""
],
[
"Fearnley",
"John",
""
],
[
"Hollender",
"Alexandros",
""
],
[
"Melissourgos",
"Themistoklis",
""
]
] | The current state-of-the-art methods for showing inapproximability in PPAD arise from the $\varepsilon$-Generalized-Circuit ($\varepsilon$-GCircuit) problem. Rubinstein (2018) showed that there exists a small unknown constant $\varepsilon$ for which $\varepsilon$-GCircuit is PPAD-hard, and subsequent work has shown har... |
1804.07899 | Markus Freitag | Markus Freitag, Scott Roy | Unsupervised Natural Language Generation with Denoising Autoencoders | Accepted at EMNLP 2018 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Generating text from structured data is important for various tasks such as
question answering and dialog systems. We show that in at least one domain,
without any supervision and only based on unlabeled text, we are able to build
a Natural Language Generation (NLG) system with higher performance than
supervised appr... | [
{
"created": "Sat, 21 Apr 2018 06:16:57 GMT",
"version": "v1"
},
{
"created": "Fri, 24 Aug 2018 19:53:33 GMT",
"version": "v2"
}
] | 2018-08-28 | [
[
"Freitag",
"Markus",
""
],
[
"Roy",
"Scott",
""
]
] | Generating text from structured data is important for various tasks such as question answering and dialog systems. We show that in at least one domain, without any supervision and only based on unlabeled text, we are able to build a Natural Language Generation (NLG) system with higher performance than supervised approa... |
2404.10789 | Dipkamal Bhusal | Dipkamal Bhusal, Md Tanvirul Alam, Monish K. Veerabhadran, Michael
Clifford, Sara Rampazzi, Nidhi Rastogi | PASA: Attack Agnostic Unsupervised Adversarial Detection using
Prediction & Attribution Sensitivity Analysis | 9th IEEE European Symposium on Security and Privacy | null | null | null | cs.CR cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | Deep neural networks for classification are vulnerable to adversarial
attacks, where small perturbations to input samples lead to incorrect
predictions. This susceptibility, combined with the black-box nature of such
networks, limits their adoption in critical applications like autonomous
driving. Feature-attribution... | [
{
"created": "Fri, 12 Apr 2024 21:22:21 GMT",
"version": "v1"
}
] | 2024-04-18 | [
[
"Bhusal",
"Dipkamal",
""
],
[
"Alam",
"Md Tanvirul",
""
],
[
"Veerabhadran",
"Monish K.",
""
],
[
"Clifford",
"Michael",
""
],
[
"Rampazzi",
"Sara",
""
],
[
"Rastogi",
"Nidhi",
""
]
] | Deep neural networks for classification are vulnerable to adversarial attacks, where small perturbations to input samples lead to incorrect predictions. This susceptibility, combined with the black-box nature of such networks, limits their adoption in critical applications like autonomous driving. Feature-attribution-b... |
2308.08302 | Ribhu Chopra | Ashish Pratap Singh, Ribhu Chopra | PSA Based Power Control for Cell-Free Massive MIMO under LoS/NLoS
Channels | 10 pages, 10 figures | null | null | null | cs.IT eess.SP math.IT | http://creativecommons.org/licenses/by/4.0/ | A primary design goal of the cell-free~(CF) massive MIMO architecture is to
provide uniformly good coverage to all the user equipments~(UEs) connected to
the network. However, it has been found that this requirement may not be
satisfied in case the channels between the access points~(APs) and the UEs are
mixed LoS/NL... | [
{
"created": "Wed, 16 Aug 2023 12:05:16 GMT",
"version": "v1"
}
] | 2023-08-17 | [
[
"Singh",
"Ashish Pratap",
""
],
[
"Chopra",
"Ribhu",
""
]
] | A primary design goal of the cell-free~(CF) massive MIMO architecture is to provide uniformly good coverage to all the user equipments~(UEs) connected to the network. However, it has been found that this requirement may not be satisfied in case the channels between the access points~(APs) and the UEs are mixed LoS/NLoS... |
2106.00934 | Nada Almarwani | Nada Almarwani and Mona Diab | Discrete Cosine Transform as Universal Sentence Encoder | to be published in ACL-IJCNLP 2021 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Modern sentence encoders are used to generate dense vector representations
that capture the underlying linguistic characteristics for a sequence of words,
including phrases, sentences, or paragraphs. These kinds of representations are
ideal for training a classifier for an end task such as sentiment analysis,
questio... | [
{
"created": "Wed, 2 Jun 2021 04:43:54 GMT",
"version": "v1"
}
] | 2021-06-03 | [
[
"Almarwani",
"Nada",
""
],
[
"Diab",
"Mona",
""
]
] | Modern sentence encoders are used to generate dense vector representations that capture the underlying linguistic characteristics for a sequence of words, including phrases, sentences, or paragraphs. These kinds of representations are ideal for training a classifier for an end task such as sentiment analysis, question ... |
2011.08463 | R\'emy Portelas | R\'emy Portelas, Cl\'ement Romac, Katja Hofmann, Pierre-Yves Oudeyer | Meta Automatic Curriculum Learning | This paper extends and generalizes work in arXiv:2004.03168 | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A major challenge in the Deep RL (DRL) community is to train agents able to
generalize their control policy over situations never seen in training.
Training on diverse tasks has been identified as a key ingredient for good
generalization, which pushed researchers towards using rich procedural task
generation systems ... | [
{
"created": "Mon, 16 Nov 2020 14:56:42 GMT",
"version": "v1"
},
{
"created": "Thu, 4 Mar 2021 16:19:46 GMT",
"version": "v2"
},
{
"created": "Wed, 1 Sep 2021 15:41:34 GMT",
"version": "v3"
}
] | 2021-09-02 | [
[
"Portelas",
"Rémy",
""
],
[
"Romac",
"Clément",
""
],
[
"Hofmann",
"Katja",
""
],
[
"Oudeyer",
"Pierre-Yves",
""
]
] | A major challenge in the Deep RL (DRL) community is to train agents able to generalize their control policy over situations never seen in training. Training on diverse tasks has been identified as a key ingredient for good generalization, which pushed researchers towards using rich procedural task generation systems co... |
2302.03640 | Junwen Huang | Junwen Huang, Alexey Artemov, Yujin Chen, Shuaifeng Zhi, Kai Xu,
Matthias Nie{\ss}ner | SSR-2D: Semantic 3D Scene Reconstruction from 2D Images | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Most deep learning approaches to comprehensive semantic modeling of 3D indoor
spaces require costly dense annotations in the 3D domain. In this work, we
explore a central 3D scene modeling task, namely, semantic scene reconstruction
without using any 3D annotations. The key idea of our approach is to design a
trainab... | [
{
"created": "Tue, 7 Feb 2023 17:47:52 GMT",
"version": "v1"
},
{
"created": "Tue, 21 Feb 2023 20:50:33 GMT",
"version": "v2"
},
{
"created": "Thu, 20 Apr 2023 19:20:30 GMT",
"version": "v3"
},
{
"created": "Wed, 5 Jun 2024 12:02:12 GMT",
"version": "v4"
}
] | 2024-06-06 | [
[
"Huang",
"Junwen",
""
],
[
"Artemov",
"Alexey",
""
],
[
"Chen",
"Yujin",
""
],
[
"Zhi",
"Shuaifeng",
""
],
[
"Xu",
"Kai",
""
],
[
"Nießner",
"Matthias",
""
]
] | Most deep learning approaches to comprehensive semantic modeling of 3D indoor spaces require costly dense annotations in the 3D domain. In this work, we explore a central 3D scene modeling task, namely, semantic scene reconstruction without using any 3D annotations. The key idea of our approach is to design a trainable... |
1212.2450 | Salem Benferhat | Salem Benferhat, Sylvain Lagrue, Odile Papini | A possibilistic handling of partially ordered information | Appears in Proceedings of the Nineteenth Conference on Uncertainty in
Artificial Intelligence (UAI2003) | null | null | UAI-P-2003-PG-29-36 | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In a standard possibilistic logic, prioritized information are encoded by
means of weighted knowledge base. This paper proposes an extension of
possibilistic logic for dealing with partially ordered information. We Show
that all basic notions of standard possibilitic logic (sumbsumption, syntactic
and semantic infere... | [
{
"created": "Fri, 19 Oct 2012 15:03:38 GMT",
"version": "v1"
}
] | 2012-12-12 | [
[
"Benferhat",
"Salem",
""
],
[
"Lagrue",
"Sylvain",
""
],
[
"Papini",
"Odile",
""
]
] | In a standard possibilistic logic, prioritized information are encoded by means of weighted knowledge base. This paper proposes an extension of possibilistic logic for dealing with partially ordered information. We Show that all basic notions of standard possibilitic logic (sumbsumption, syntactic and semantic inferenc... |
1801.01615 | Hanbyul Joo | Hanbyul Joo, Tomas Simon, Yaser Sheikh | Total Capture: A 3D Deformation Model for Tracking Faces, Hands, and
Bodies | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a unified deformation model for the markerless capture of multiple
scales of human movement, including facial expressions, body motion, and hand
gestures. An initial model is generated by locally stitching together models of
the individual parts of the human body, which we refer to as the "Frankenstein"
mo... | [
{
"created": "Fri, 5 Jan 2018 02:41:54 GMT",
"version": "v1"
}
] | 2018-01-08 | [
[
"Joo",
"Hanbyul",
""
],
[
"Simon",
"Tomas",
""
],
[
"Sheikh",
"Yaser",
""
]
] | We present a unified deformation model for the markerless capture of multiple scales of human movement, including facial expressions, body motion, and hand gestures. An initial model is generated by locally stitching together models of the individual parts of the human body, which we refer to as the "Frankenstein" mode... |
2404.15980 | Ali Ebnenasir | Ali Ebnenasir and Kieran Young | Minimizing the Number of Teleportations in Distributed Quantum Computing
Using Alloy | null | null | null | null | cs.ET cs.DC quant-ph | http://creativecommons.org/licenses/by-nc-sa/4.0/ | This paper presents a novel approach for minimizing the number of
teleportations in Distributed Quantum Computing (DQC) using formal methods.
Quantum teleportation plays a major role in communicating quantum information.
As such, it is desirable to perform as few teleportations as possible when
distributing a quantum... | [
{
"created": "Wed, 24 Apr 2024 16:55:29 GMT",
"version": "v1"
}
] | 2024-04-25 | [
[
"Ebnenasir",
"Ali",
""
],
[
"Young",
"Kieran",
""
]
] | This paper presents a novel approach for minimizing the number of teleportations in Distributed Quantum Computing (DQC) using formal methods. Quantum teleportation plays a major role in communicating quantum information. As such, it is desirable to perform as few teleportations as possible when distributing a quantum a... |
2105.00572 | Alexis Conneau | Naman Goyal, Jingfei Du, Myle Ott, Giri Anantharaman, Alexis Conneau | Larger-Scale Transformers for Multilingual Masked Language Modeling | 4 pages | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Recent work has demonstrated the effectiveness of cross-lingual language
model pretraining for cross-lingual understanding. In this study, we present
the results of two larger multilingual masked language models, with 3.5B and
10.7B parameters. Our two new models dubbed XLM-R XL and XLM-R XXL outperform
XLM-R by 1.8%... | [
{
"created": "Sun, 2 May 2021 23:15:02 GMT",
"version": "v1"
}
] | 2021-05-04 | [
[
"Goyal",
"Naman",
""
],
[
"Du",
"Jingfei",
""
],
[
"Ott",
"Myle",
""
],
[
"Anantharaman",
"Giri",
""
],
[
"Conneau",
"Alexis",
""
]
] | Recent work has demonstrated the effectiveness of cross-lingual language model pretraining for cross-lingual understanding. In this study, we present the results of two larger multilingual masked language models, with 3.5B and 10.7B parameters. Our two new models dubbed XLM-R XL and XLM-R XXL outperform XLM-R by 1.8% a... |
1803.10815 | Piotr Mardziel | Shayak Sen and Piotr Mardziel and Anupam Datta and Matthew Fredrikson | Supervising Feature Influence | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Causal influence measures for machine learnt classifiers shed light on the
reasons behind classification, and aid in identifying influential input
features and revealing their biases. However, such analyses involve evaluating
the classifier using datapoints that may be atypical of its training
distribution. Standard ... | [
{
"created": "Wed, 28 Mar 2018 19:16:39 GMT",
"version": "v1"
},
{
"created": "Sat, 7 Apr 2018 23:46:15 GMT",
"version": "v2"
}
] | 2018-04-10 | [
[
"Sen",
"Shayak",
""
],
[
"Mardziel",
"Piotr",
""
],
[
"Datta",
"Anupam",
""
],
[
"Fredrikson",
"Matthew",
""
]
] | Causal influence measures for machine learnt classifiers shed light on the reasons behind classification, and aid in identifying influential input features and revealing their biases. However, such analyses involve evaluating the classifier using datapoints that may be atypical of its training distribution. Standard me... |
2312.14030 | Erik Frisk | Fatemeh Hashemniya, Beno\"it Caillaud, Erik Frisk, Mattias Krysander,
Mathias Malandain | Fault Diagnosability Analysis of Multi-Mode Systems | null | null | null | null | cs.LO cs.SY eess.SY | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Multi-mode systems can operate in different modes, leading to large numbers
of different dynamics. Consequently, applying traditional structural
diagnostics to such systems is often untractable. To address this challenge, we
present a multi-mode diagnostics algorithm that relies on a multi-mode
extension of the Dulma... | [
{
"created": "Thu, 21 Dec 2023 17:00:37 GMT",
"version": "v1"
}
] | 2023-12-22 | [
[
"Hashemniya",
"Fatemeh",
""
],
[
"Caillaud",
"Benoït",
""
],
[
"Frisk",
"Erik",
""
],
[
"Krysander",
"Mattias",
""
],
[
"Malandain",
"Mathias",
""
]
] | Multi-mode systems can operate in different modes, leading to large numbers of different dynamics. Consequently, applying traditional structural diagnostics to such systems is often untractable. To address this challenge, we present a multi-mode diagnostics algorithm that relies on a multi-mode extension of the Dulmage... |
2302.00089 | Hussein Hazimeh | Hussein Hazimeh, Natalia Ponomareva | Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for
Adversarial Nets | Accepted to AISTATS 2023 | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by/4.0/ | Adversarial nets have proved to be powerful in various domains including
generative modeling (GANs), transfer learning, and fairness. However,
successfully training adversarial nets using first-order methods remains a
major challenge. Typically, careful choices of the learning rates are needed to
maintain the delicat... | [
{
"created": "Tue, 31 Jan 2023 20:36:40 GMT",
"version": "v1"
}
] | 2023-02-02 | [
[
"Hazimeh",
"Hussein",
""
],
[
"Ponomareva",
"Natalia",
""
]
] | Adversarial nets have proved to be powerful in various domains including generative modeling (GANs), transfer learning, and fairness. However, successfully training adversarial nets using first-order methods remains a major challenge. Typically, careful choices of the learning rates are needed to maintain the delicate ... |
2209.01211 | Yaping Zhao | Yaping Zhao, Haitian Zheng, Mengqi Ji, Ruqi Huang | Cross-Camera Deep Colorization | 12 pages, 6 figures | null | null | null | cs.CV eess.IV | http://creativecommons.org/licenses/by/4.0/ | In this paper, we consider the color-plus-mono dual-camera system and propose
an end-to-end convolutional neural network to align and fuse images from it in
an efficient and cost-effective way. Our method takes cross-domain and
cross-scale images as input, and consequently synthesizes HR colorization
results to facil... | [
{
"created": "Fri, 26 Aug 2022 11:02:14 GMT",
"version": "v1"
},
{
"created": "Wed, 7 Sep 2022 04:00:27 GMT",
"version": "v2"
}
] | 2022-09-08 | [
[
"Zhao",
"Yaping",
""
],
[
"Zheng",
"Haitian",
""
],
[
"Ji",
"Mengqi",
""
],
[
"Huang",
"Ruqi",
""
]
] | In this paper, we consider the color-plus-mono dual-camera system and propose an end-to-end convolutional neural network to align and fuse images from it in an efficient and cost-effective way. Our method takes cross-domain and cross-scale images as input, and consequently synthesizes HR colorization results to facilit... |
2404.06721 | Norrathep Rattanavipanon | Norrathep Rattanavipanon and Ivan De Oliveira Nunes | Poisoning Prevention in Federated Learning and Differential Privacy via
Stateful Proofs of Execution | null | null | null | null | cs.CR | http://creativecommons.org/licenses/by/4.0/ | The rise in IoT-driven distributed data analytics, coupled with increasing
privacy concerns, has led to a demand for effective privacy-preserving and
federated data collection/model training mechanisms. In response, approaches
such as Federated Learning (FL) and Local Differential Privacy (LDP) have been
proposed and... | [
{
"created": "Wed, 10 Apr 2024 04:18:26 GMT",
"version": "v1"
},
{
"created": "Thu, 11 Apr 2024 12:05:52 GMT",
"version": "v2"
},
{
"created": "Wed, 19 Jun 2024 03:01:31 GMT",
"version": "v3"
}
] | 2024-06-21 | [
[
"Rattanavipanon",
"Norrathep",
""
],
[
"Nunes",
"Ivan De Oliveira",
""
]
] | The rise in IoT-driven distributed data analytics, coupled with increasing privacy concerns, has led to a demand for effective privacy-preserving and federated data collection/model training mechanisms. In response, approaches such as Federated Learning (FL) and Local Differential Privacy (LDP) have been proposed and a... |
1910.03126 | Jiunn-Kai Huang | Jiunn-Kai Huang and Jessy W. Grizzle | Improvements to Target-Based 3D LiDAR to Camera Calibration | null | IEEE Access, vol. 8, 2020, pp. 134101-134110 | 10.1109/ACCESS.2020.3010734 | null | cs.RO cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The homogeneous transformation between a LiDAR and monocular camera is
required for sensor fusion tasks, such as SLAM. While determining such a
transformation is not considered glamorous in any sense of the word, it is
nonetheless crucial for many modern autonomous systems. Indeed, an error of a
few degrees in rotati... | [
{
"created": "Mon, 7 Oct 2019 23:03:16 GMT",
"version": "v1"
},
{
"created": "Wed, 11 Mar 2020 20:05:04 GMT",
"version": "v2"
},
{
"created": "Sat, 18 Jul 2020 15:07:13 GMT",
"version": "v3"
}
] | 2020-07-30 | [
[
"Huang",
"Jiunn-Kai",
""
],
[
"Grizzle",
"Jessy W.",
""
]
] | The homogeneous transformation between a LiDAR and monocular camera is required for sensor fusion tasks, such as SLAM. While determining such a transformation is not considered glamorous in any sense of the word, it is nonetheless crucial for many modern autonomous systems. Indeed, an error of a few degrees in rotation... |
1710.07096 | Ribana Roscher | Anika Bettge, Ribana Roscher, Susanne Wenzel | Deep Self-taught Learning for Remote Sensing Image Classification | This is a corrected version of the final paper published in the
proceedings | Proceedings of the 2017 conference on Big Data from Space | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper addresses the land cover classification task for remote sensing
images by deep self-taught learning. Our self-taught learning approach learns
suitable feature representations of the input data using sparse representation
and undercomplete dictionary learning. We propose a deep learning framework
which extr... | [
{
"created": "Thu, 19 Oct 2017 11:32:53 GMT",
"version": "v1"
},
{
"created": "Tue, 19 Dec 2017 20:55:12 GMT",
"version": "v2"
}
] | 2017-12-21 | [
[
"Bettge",
"Anika",
""
],
[
"Roscher",
"Ribana",
""
],
[
"Wenzel",
"Susanne",
""
]
] | This paper addresses the land cover classification task for remote sensing images by deep self-taught learning. Our self-taught learning approach learns suitable feature representations of the input data using sparse representation and undercomplete dictionary learning. We propose a deep learning framework which extrac... |
cs/0509002 | Zsolt I. L\'az\'ar | Zsolt I. L\'az\'ar, Jouke R. Heringa, Bazil P\^arv, Simon W. de Leeuw | Component Based Programming in Scientific Computing: The Viable Approach | null | null | null | null | cs.CE | null | Computational scientists are facing a new era where the old ways of
developing and reusing code have to be left behind and a few daring steps are
to be made towards new horizons. The present work analyzes the needs that drive
this change, the factors that contribute to the inertia of the community and
slow the transi... | [
{
"created": "Wed, 31 Aug 2005 21:57:04 GMT",
"version": "v1"
}
] | 2021-08-23 | [
[
"Lázár",
"Zsolt I.",
""
],
[
"Heringa",
"Jouke R.",
""
],
[
"Pârv",
"Bazil",
""
],
[
"de Leeuw",
"Simon W.",
""
]
] | Computational scientists are facing a new era where the old ways of developing and reusing code have to be left behind and a few daring steps are to be made towards new horizons. The present work analyzes the needs that drive this change, the factors that contribute to the inertia of the community and slow the transiti... |
1103.4875 | Isabelle Stanton | Isabelle Stanton and Ali Pinar | Constructing and Sampling Graphs with a Prescribed Joint Degree
Distribution | null | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | One of the most influential recent results in network analysis is that many
natural networks exhibit a power-law or log-normal degree distribution. This
has inspired numerous generative models that match this property. However, more
recent work has shown that while these generative models do have the right
degree dis... | [
{
"created": "Thu, 24 Mar 2011 21:05:17 GMT",
"version": "v1"
},
{
"created": "Wed, 31 Aug 2011 18:41:54 GMT",
"version": "v2"
}
] | 2011-09-01 | [
[
"Stanton",
"Isabelle",
""
],
[
"Pinar",
"Ali",
""
]
] | One of the most influential recent results in network analysis is that many natural networks exhibit a power-law or log-normal degree distribution. This has inspired numerous generative models that match this property. However, more recent work has shown that while these generative models do have the right degree distr... |
1401.7583 | Daniel Kulesz | Daniel Kulesz, Jan-Peter Ostberg | Practical Challenges with Spreadsheet Auditing Tools | 13 Pages. 3 Detailed Colour Figures, Proc. European Spreadsheet Risks
Int. Grp. (EuSpRIG) 2013, ISBN: 978-1-9054045-1-3 | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Just like other software, spreadsheets can contain significant faults. Static
analysis is an accepted and well-established technique in software engineering
known for its capability to discover faults. In recent years, a growing number
of tool vendors started offering tools that allow casual end-users to run
various ... | [
{
"created": "Tue, 28 Jan 2014 20:51:32 GMT",
"version": "v1"
}
] | 2014-01-30 | [
[
"Kulesz",
"Daniel",
""
],
[
"Ostberg",
"Jan-Peter",
""
]
] | Just like other software, spreadsheets can contain significant faults. Static analysis is an accepted and well-established technique in software engineering known for its capability to discover faults. In recent years, a growing number of tool vendors started offering tools that allow casual end-users to run various st... |
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