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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2405.05633 | Jiabin Chen | Jiabin Chen, Fei Xu, Yikun Gu, Li Chen, Fangming Liu, Zhi Zhou | HarmonyBatch: Batching multi-SLO DNN Inference with Heterogeneous
Serverless Functions | 10 pages, 14 figures, accepted by IWQOS24 | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep Neural Network (DNN) inference on serverless functions is gaining
prominence due to its potential for substantial budget savings. Existing works
on serverless DNN inference solely optimize batching requests from one
application with a single Service Level Objective (SLO) on CPU functions.
However, production ser... | [
{
"created": "Thu, 9 May 2024 09:13:32 GMT",
"version": "v1"
}
] | 2024-05-10 | [
[
"Chen",
"Jiabin",
""
],
[
"Xu",
"Fei",
""
],
[
"Gu",
"Yikun",
""
],
[
"Chen",
"Li",
""
],
[
"Liu",
"Fangming",
""
],
[
"Zhou",
"Zhi",
""
]
] | Deep Neural Network (DNN) inference on serverless functions is gaining prominence due to its potential for substantial budget savings. Existing works on serverless DNN inference solely optimize batching requests from one application with a single Service Level Objective (SLO) on CPU functions. However, production serve... |
2302.10760 | Hadi Sotudeh | Hadi Sotudeh | Potential Penetrative Pass (P3) | StatsBomb Conference 2021 Paper Track:
http://statsbomb.com/wp-content/uploads/2021/11/Hadi-SotudehStatsBomb-Conference-2021-Research-Paper.pdf | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by/4.0/ | To score goals in football, a team needs to move forward on the pitch and
there are various ways to do so. Depending on the game plan & philosophy; some
teams prefer to play long balls from either wings or defense. Others, prefer to
penetrate in depth with passes and outplay the opponent players. To objectively
& in ... | [
{
"created": "Thu, 26 Jan 2023 10:49:02 GMT",
"version": "v1"
}
] | 2023-02-22 | [
[
"Sotudeh",
"Hadi",
""
]
] | To score goals in football, a team needs to move forward on the pitch and there are various ways to do so. Depending on the game plan & philosophy; some teams prefer to play long balls from either wings or defense. Others, prefer to penetrate in depth with passes and outplay the opponent players. To objectively & in an... |
2406.16767 | Krishnapriya Vishnubhotla | Xi Yu Huang and Krishnapriya Vishnubhotla and Frank Rudzicz | The GPT-WritingPrompts Dataset: A Comparative Analysis of Character
Portrayal in Short Stories | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by-sa/4.0/ | The improved generative capabilities of large language models have made them
a powerful tool for creative writing and storytelling. It is therefore
important to quantitatively understand the nature of generated stories, and how
they differ from human storytelling. We augment the Reddit WritingPrompts
dataset with sho... | [
{
"created": "Mon, 24 Jun 2024 16:24:18 GMT",
"version": "v1"
}
] | 2024-06-25 | [
[
"Huang",
"Xi Yu",
""
],
[
"Vishnubhotla",
"Krishnapriya",
""
],
[
"Rudzicz",
"Frank",
""
]
] | The improved generative capabilities of large language models have made them a powerful tool for creative writing and storytelling. It is therefore important to quantitatively understand the nature of generated stories, and how they differ from human storytelling. We augment the Reddit WritingPrompts dataset with short... |
2403.09309 | Arul Selvam Periyasamy | Arul Selvam Periyasamy and Sven Behnke | MOTPose: Multi-object 6D Pose Estimation for Dynamic Video Sequences
using Attention-based Temporal Fusion | null | null | null | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | Cluttered bin-picking environments are challenging for pose estimation
models. Despite the impressive progress enabled by deep learning, single-view
RGB pose estimation models perform poorly in cluttered dynamic environments.
Imbuing the rich temporal information contained in the video of scenes has the
potential to ... | [
{
"created": "Thu, 14 Mar 2024 11:59:32 GMT",
"version": "v1"
}
] | 2024-03-15 | [
[
"Periyasamy",
"Arul Selvam",
""
],
[
"Behnke",
"Sven",
""
]
] | Cluttered bin-picking environments are challenging for pose estimation models. Despite the impressive progress enabled by deep learning, single-view RGB pose estimation models perform poorly in cluttered dynamic environments. Imbuing the rich temporal information contained in the video of scenes has the potential to en... |
2306.10900 | Yaqi Zhang | Yaqi Zhang, Di Huang, Bin Liu, Shixiang Tang, Yan Lu, Lu Chen, Lei
Bai, Qi Chu, Nenghai Yu, Wanli Ouyang | MotionGPT: Finetuned LLMs Are General-Purpose Motion Generators | 18 pages, 8 figures, accepted by AAAI 2024 | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Generating realistic human motion from given action descriptions has
experienced significant advancements because of the emerging requirement of
digital humans. While recent works have achieved impressive results in
generating motion directly from textual action descriptions, they often support
only a single modality... | [
{
"created": "Mon, 19 Jun 2023 12:58:17 GMT",
"version": "v1"
},
{
"created": "Mon, 18 Mar 2024 04:14:50 GMT",
"version": "v2"
}
] | 2024-03-19 | [
[
"Zhang",
"Yaqi",
""
],
[
"Huang",
"Di",
""
],
[
"Liu",
"Bin",
""
],
[
"Tang",
"Shixiang",
""
],
[
"Lu",
"Yan",
""
],
[
"Chen",
"Lu",
""
],
[
"Bai",
"Lei",
""
],
[
"Chu",
"Qi",
""
],
[
... | Generating realistic human motion from given action descriptions has experienced significant advancements because of the emerging requirement of digital humans. While recent works have achieved impressive results in generating motion directly from textual action descriptions, they often support only a single modality o... |
1905.10173 | Marcus Dees | Marcus Dees, Massimiliano de Leoni, Wil M.P. van der Aalst and Hajo A.
Reijers | What if Process Predictions are not followed by Good Recommendations?
(Technical Report) | Technical report | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Process-aware Recommender systems (PAR systems) are information systems that
aim to monitor process executions, predict their outcome, and recommend
effective interventions to reduce the risk of failure. This paper discusses
monitoring, predicting, and recommending using a PAR system within a financial
institute in t... | [
{
"created": "Fri, 24 May 2019 12:03:07 GMT",
"version": "v1"
},
{
"created": "Wed, 29 May 2019 08:49:31 GMT",
"version": "v2"
},
{
"created": "Mon, 15 Jul 2019 15:37:19 GMT",
"version": "v3"
}
] | 2019-07-16 | [
[
"Dees",
"Marcus",
""
],
[
"de Leoni",
"Massimiliano",
""
],
[
"van der Aalst",
"Wil M. P.",
""
],
[
"Reijers",
"Hajo A.",
""
]
] | Process-aware Recommender systems (PAR systems) are information systems that aim to monitor process executions, predict their outcome, and recommend effective interventions to reduce the risk of failure. This paper discusses monitoring, predicting, and recommending using a PAR system within a financial institute in the... |
1901.03149 | Matthias Grezet | Matthias Grezet and Camilla Hollanti | The Complete Hierarchical Locality of the Punctured Simplex Code | Draft | null | null | null | cs.IT math.CO math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents a new alphabet-dependent bound for codes with
hierarchical locality. Then, the complete list of possible localities is
derived for a class of codes obtained by deleting specific columns from a
Simplex code. This list is used to show that these codes are optimal codes with
hierarchical locality.
| [
{
"created": "Thu, 10 Jan 2019 13:33:47 GMT",
"version": "v1"
},
{
"created": "Wed, 3 Jul 2019 07:11:47 GMT",
"version": "v2"
}
] | 2019-07-04 | [
[
"Grezet",
"Matthias",
""
],
[
"Hollanti",
"Camilla",
""
]
] | This paper presents a new alphabet-dependent bound for codes with hierarchical locality. Then, the complete list of possible localities is derived for a class of codes obtained by deleting specific columns from a Simplex code. This list is used to show that these codes are optimal codes with hierarchical locality. |
2407.08395 | Mirco Fuchs | Sarah Rockstrok and Patrick Frenzel and Daniel Matthes and Kay
Schubert and David Wollburg and Mirco Fuchs | Using deep neural networks to detect non-analytically defined expert
event labels in canoe sprint force sensor signals | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Assessing an athlete's performance in canoe sprint is often established by
measuring a variety of kinematic parameters during training sessions. Many of
these parameters are related to single or multiple paddle stroke cycles.
Determining on- and offset of these cycles in force sensor signals is usually
not straightfo... | [
{
"created": "Thu, 11 Jul 2024 10:59:11 GMT",
"version": "v1"
}
] | 2024-07-12 | [
[
"Rockstrok",
"Sarah",
""
],
[
"Frenzel",
"Patrick",
""
],
[
"Matthes",
"Daniel",
""
],
[
"Schubert",
"Kay",
""
],
[
"Wollburg",
"David",
""
],
[
"Fuchs",
"Mirco",
""
]
] | Assessing an athlete's performance in canoe sprint is often established by measuring a variety of kinematic parameters during training sessions. Many of these parameters are related to single or multiple paddle stroke cycles. Determining on- and offset of these cycles in force sensor signals is usually not straightforw... |
2212.10632 | Mohammad Javad Shafiee | Carol Xu, Mahmoud Famouri, Gautam Bathla, Mohammad Javad Shafiee,
Alexander Wong | High-Throughput, High-Performance Deep Learning-Driven Light Guide Plate
Surface Visual Quality Inspection Tailored for Real-World Manufacturing
Environments | arXiv admin note: substantial text overlap with arXiv:2204.11765 | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Light guide plates are essential optical components widely used in a diverse
range of applications ranging from medical lighting fixtures to back-lit TV
displays. In this work, we introduce a fully-integrated, high-throughput,
high-performance deep learning-driven workflow for light guide plate surface
visual quality... | [
{
"created": "Tue, 20 Dec 2022 20:11:11 GMT",
"version": "v1"
}
] | 2022-12-22 | [
[
"Xu",
"Carol",
""
],
[
"Famouri",
"Mahmoud",
""
],
[
"Bathla",
"Gautam",
""
],
[
"Shafiee",
"Mohammad Javad",
""
],
[
"Wong",
"Alexander",
""
]
] | Light guide plates are essential optical components widely used in a diverse range of applications ranging from medical lighting fixtures to back-lit TV displays. In this work, we introduce a fully-integrated, high-throughput, high-performance deep learning-driven workflow for light guide plate surface visual quality i... |
2109.06707 | Giovanni Cin\`a | Adam Izdebski, Patrick J. Thoral, Robbert C.A. Lalisang, Dean M.
McHugh, Diederik Gommers, Olaf L. Cremer, Rob J. Bosman, Sander Rigter,
Evert-Jan Wils, Tim Frenzel, Dave A. Dongelmans, Remko de Jong, Marco A.A.
Peters, Marlijn J.A Kamps, Dharmanand Ramnarain, Ralph Nowitzky, Fleur G.C.A.
Nooteboom, Wouter de R... | A pragmatic approach to estimating average treatment effects from EHR
data: the effect of prone positioning on mechanically ventilated COVID-19
patients | null | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by/4.0/ | Despite the recent progress in the field of causal inference, to date there
is no agreed upon methodology to glean treatment effect estimation from
observational data. The consequence on clinical practice is that, when lacking
results from a randomized trial, medical personnel is left without guidance on
what seems t... | [
{
"created": "Tue, 14 Sep 2021 14:14:37 GMT",
"version": "v1"
},
{
"created": "Fri, 3 Dec 2021 11:07:30 GMT",
"version": "v2"
}
] | 2021-12-06 | [
[
"Izdebski",
"Adam",
""
],
[
"Thoral",
"Patrick J.",
""
],
[
"Lalisang",
"Robbert C. A.",
""
],
[
"McHugh",
"Dean M.",
""
],
[
"Gommers",
"Diederik",
""
],
[
"Cremer",
"Olaf L.",
""
],
[
"Bosman",
"Rob J.",
... | Despite the recent progress in the field of causal inference, to date there is no agreed upon methodology to glean treatment effect estimation from observational data. The consequence on clinical practice is that, when lacking results from a randomized trial, medical personnel is left without guidance on what seems to ... |
1001.2250 | Rdv Ijcsis | B. Sathish Kumar, K. R. Shankar Kumar, R. Radhakrishnan | An Efficient Inter Carrier Interference Cancellation Schemes for OFDM
Systems | 8 pages IEEE format, International Journal of Computer Science and
Information Security, IJCSIS December 2009, ISSN 1947 5500,
http://sites.google.com/site/ijcsis/ | International Journal of Computer Science and Information
Security, IJCSIS, Vol. 6, No. 3, pp. 141-148, December 2009, USA | null | Volume 6, No. 3, ISSN 1947 5500 | cs.OH | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Orthogonal Frequency Division Multiplexing (OFDM) has recently been used
widely in wireless communication systems. OFDM is very effective in combating
intersymbol interference and can achieve high data rate in frequency selective
channel. For OFDM communication systems, the frequency offsets in mobile radio
channels ... | [
{
"created": "Wed, 13 Jan 2010 18:14:16 GMT",
"version": "v1"
}
] | 2010-01-14 | [
[
"Kumar",
"B. Sathish",
""
],
[
"Kumar",
"K. R. Shankar",
""
],
[
"Radhakrishnan",
"R.",
""
]
] | Orthogonal Frequency Division Multiplexing (OFDM) has recently been used widely in wireless communication systems. OFDM is very effective in combating intersymbol interference and can achieve high data rate in frequency selective channel. For OFDM communication systems, the frequency offsets in mobile radio channels di... |
2109.13050 | Matthias Mayr | Matthias Mayr, Konstantinos Chatzilygeroudis, Faseeh Ahmad, Luigi
Nardi and Volker Krueger | Learning of Parameters in Behavior Trees for Movement Skills | 8 pages, 5 figures, accepted at 2021 IEEE/RSJ International
Conference on Intelligent Robots and Systems (IROS) | null | 10.1109/IROS51168.2021.9636292 | null | cs.RO cs.LG | http://creativecommons.org/licenses/by/4.0/ | Reinforcement Learning (RL) is a powerful mathematical framework that allows
robots to learn complex skills by trial-and-error. Despite numerous successes
in many applications, RL algorithms still require thousands of trials to
converge to high-performing policies, can produce dangerous behaviors while
learning, and ... | [
{
"created": "Mon, 27 Sep 2021 13:46:39 GMT",
"version": "v1"
},
{
"created": "Tue, 2 Aug 2022 13:47:09 GMT",
"version": "v2"
}
] | 2022-08-03 | [
[
"Mayr",
"Matthias",
""
],
[
"Chatzilygeroudis",
"Konstantinos",
""
],
[
"Ahmad",
"Faseeh",
""
],
[
"Nardi",
"Luigi",
""
],
[
"Krueger",
"Volker",
""
]
] | Reinforcement Learning (RL) is a powerful mathematical framework that allows robots to learn complex skills by trial-and-error. Despite numerous successes in many applications, RL algorithms still require thousands of trials to converge to high-performing policies, can produce dangerous behaviors while learning, and th... |
2007.10205 | Nir Sochen | Ido Ben-Shaul, Leah Bar and Nir Sochen | Solving the functional Eigen-Problem using Neural Networks | null | null | null | null | cs.LG cs.NA math.NA stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work, we explore the ability of NN (Neural Networks) to serve as a
tool for finding eigen-pairs of ordinary differential equations. The question
we aime to address is whether, given a self-adjoint operator, we can learn what
are the eigenfunctions, and their matching eigenvalues. The topic of solving
the eige... | [
{
"created": "Mon, 20 Jul 2020 15:41:22 GMT",
"version": "v1"
}
] | 2020-07-21 | [
[
"Ben-Shaul",
"Ido",
""
],
[
"Bar",
"Leah",
""
],
[
"Sochen",
"Nir",
""
]
] | In this work, we explore the ability of NN (Neural Networks) to serve as a tool for finding eigen-pairs of ordinary differential equations. The question we aime to address is whether, given a self-adjoint operator, we can learn what are the eigenfunctions, and their matching eigenvalues. The topic of solving the eigen-... |
cs/0506007 | Vladimir Vovk | Vladimir Vovk, Ilia Nouretdinov, Akimichi Takemura, Glenn Shafer | Defensive forecasting for linear protocols | 16 pages | null | null | null | cs.LG | null | We consider a general class of forecasting protocols, called "linear
protocols", and discuss several important special cases, including multi-class
forecasting. Forecasting is formalized as a game between three players:
Reality, whose role is to generate observations; Forecaster, whose goal is to
predict the observat... | [
{
"created": "Thu, 2 Jun 2005 13:26:43 GMT",
"version": "v1"
},
{
"created": "Sat, 24 Sep 2005 16:55:14 GMT",
"version": "v2"
}
] | 2007-05-23 | [
[
"Vovk",
"Vladimir",
""
],
[
"Nouretdinov",
"Ilia",
""
],
[
"Takemura",
"Akimichi",
""
],
[
"Shafer",
"Glenn",
""
]
] | We consider a general class of forecasting protocols, called "linear protocols", and discuss several important special cases, including multi-class forecasting. Forecasting is formalized as a game between three players: Reality, whose role is to generate observations; Forecaster, whose goal is to predict the observatio... |
2309.05113 | Deguang Kong | Deguang Kong, Daniel Zhou, Zhiheng Huang and Steph Sigalas | Personalized Search Via Neural Contextual Semantic Relevance Ranking | Contextual, Personalization, Search, Semantics, LLM, embedding | null | null | null | cs.IR | http://creativecommons.org/licenses/by/4.0/ | Existing neural relevance models do not give enough consideration for query
and item context information which diversifies the search results to adapt for
personal preference. To bridge this gap, this paper presents a neural learning
framework to personalize document ranking results by leveraging the signals to
captu... | [
{
"created": "Sun, 10 Sep 2023 19:01:12 GMT",
"version": "v1"
}
] | 2023-09-12 | [
[
"Kong",
"Deguang",
""
],
[
"Zhou",
"Daniel",
""
],
[
"Huang",
"Zhiheng",
""
],
[
"Sigalas",
"Steph",
""
]
] | Existing neural relevance models do not give enough consideration for query and item context information which diversifies the search results to adapt for personal preference. To bridge this gap, this paper presents a neural learning framework to personalize document ranking results by leveraging the signals to capture... |
1907.06054 | Yuantao Gu | Gen Li, Xingyu Xu, Yuantao Gu | Lower Bound for RIP Constants and Concentration of Sum of Top Order
Statistics | 24 pages, 1 figure | null | 10.1109/TSP.2020.2985848 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Restricted Isometry Property (RIP) is of fundamental importance in the theory
of compressed sensing and forms the base of many exact and robust recovery
guarantees in this field. A quantitative description of RIP involves bounding
the so-called RIP constants of measurement matrices. In this respect, it is
noteworthy ... | [
{
"created": "Sat, 13 Jul 2019 11:42:34 GMT",
"version": "v1"
}
] | 2020-07-15 | [
[
"Li",
"Gen",
""
],
[
"Xu",
"Xingyu",
""
],
[
"Gu",
"Yuantao",
""
]
] | Restricted Isometry Property (RIP) is of fundamental importance in the theory of compressed sensing and forms the base of many exact and robust recovery guarantees in this field. A quantitative description of RIP involves bounding the so-called RIP constants of measurement matrices. In this respect, it is noteworthy th... |
2206.09564 | Chenglizhao Chen | Chenglizhao Chen and Hengsen Wang and Yuming Fang and Chong Peng | A Novel Long-term Iterative Mining Scheme for Video Salient Object
Detection | null | null | null | null | cs.CV cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | The existing state-of-the-art (SOTA) video salient object detection (VSOD)
models have widely followed short-term methodology, which dynamically
determines the balance between spatial and temporal saliency fusion by solely
considering the current consecutive limited frames. However, the short-term
methodology has one... | [
{
"created": "Mon, 20 Jun 2022 04:27:47 GMT",
"version": "v1"
}
] | 2022-06-22 | [
[
"Chen",
"Chenglizhao",
""
],
[
"Wang",
"Hengsen",
""
],
[
"Fang",
"Yuming",
""
],
[
"Peng",
"Chong",
""
]
] | The existing state-of-the-art (SOTA) video salient object detection (VSOD) models have widely followed short-term methodology, which dynamically determines the balance between spatial and temporal saliency fusion by solely considering the current consecutive limited frames. However, the short-term methodology has one c... |
1801.07319 | Duong Nguyen | Duong Nguyen, Aleksey Charapko, Sandeep Kulkarni, Murat Demirbas | Optimistic Execution in Key-Value Store | This paper is submitted to ICDCS 2018 | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Limitations of CAP theorem imply that if availability is desired in the
presence of network partitions, one must sacrifice sequential consistency, a
consistency model that is more natural for system design. We focus on the
problem of what a designer should do if she has an algorithm that works
correctly with sequenti... | [
{
"created": "Mon, 22 Jan 2018 20:58:37 GMT",
"version": "v1"
}
] | 2018-01-24 | [
[
"Nguyen",
"Duong",
""
],
[
"Charapko",
"Aleksey",
""
],
[
"Kulkarni",
"Sandeep",
""
],
[
"Demirbas",
"Murat",
""
]
] | Limitations of CAP theorem imply that if availability is desired in the presence of network partitions, one must sacrifice sequential consistency, a consistency model that is more natural for system design. We focus on the problem of what a designer should do if she has an algorithm that works correctly with sequential... |
2402.02316 | Huanran Chen | Huanran Chen, Yinpeng Dong, Shitong Shao, Zhongkai Hao, Xiao Yang,
Hang Su, Jun Zhu | Your Diffusion Model is Secretly a Certifiably Robust Classifier | null | null | null | null | cs.LG cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Diffusion models are recently employed as generative classifiers for robust
classification. However, a comprehensive theoretical understanding of the
robustness of diffusion classifiers is still lacking, leading us to question
whether they will be vulnerable to future stronger attacks. In this study, we
propose a new... | [
{
"created": "Sun, 4 Feb 2024 02:09:18 GMT",
"version": "v1"
},
{
"created": "Tue, 13 Feb 2024 08:23:18 GMT",
"version": "v2"
}
] | 2024-02-14 | [
[
"Chen",
"Huanran",
""
],
[
"Dong",
"Yinpeng",
""
],
[
"Shao",
"Shitong",
""
],
[
"Hao",
"Zhongkai",
""
],
[
"Yang",
"Xiao",
""
],
[
"Su",
"Hang",
""
],
[
"Zhu",
"Jun",
""
]
] | Diffusion models are recently employed as generative classifiers for robust classification. However, a comprehensive theoretical understanding of the robustness of diffusion classifiers is still lacking, leading us to question whether they will be vulnerable to future stronger attacks. In this study, we propose a new f... |
2404.12957 | Qinyuan Wu | Qinyuan Wu, Mohammad Aflah Khan, Soumi Das, Vedant Nanda, Bishwamittra
Ghosh, Camila Kolling, Till Speicher, Laurent Bindschaedler, Krishna P.
Gummadi, Evimaria Terzi | Towards Reliable Latent Knowledge Estimation in LLMs: In-Context
Learning vs. Prompting Based Factual Knowledge Extraction | null | null | null | null | cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose an approach for estimating the latent knowledge embedded inside
large language models (LLMs). We leverage the in-context learning (ICL)
abilities of LLMs to estimate the extent to which an LLM knows the facts stored
in a knowledge base. Our knowledge estimator avoids reliability concerns with
previous prom... | [
{
"created": "Fri, 19 Apr 2024 15:40:39 GMT",
"version": "v1"
}
] | 2024-04-22 | [
[
"Wu",
"Qinyuan",
""
],
[
"Khan",
"Mohammad Aflah",
""
],
[
"Das",
"Soumi",
""
],
[
"Nanda",
"Vedant",
""
],
[
"Ghosh",
"Bishwamittra",
""
],
[
"Kolling",
"Camila",
""
],
[
"Speicher",
"Till",
""
],
[
... | We propose an approach for estimating the latent knowledge embedded inside large language models (LLMs). We leverage the in-context learning (ICL) abilities of LLMs to estimate the extent to which an LLM knows the facts stored in a knowledge base. Our knowledge estimator avoids reliability concerns with previous prompt... |
2401.06970 | Nelly Elsayed | Nelly Elsayed, Constantinos L. Zekios, Navid Asadizanjani, Zag ElSayed | TemporalAugmenter: An Ensemble Recurrent Based Deep Learning Approach
for Signal Classification | 9 pages, 5 figures, 9 tables, under review process | null | null | null | cs.LG cs.HC eess.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Ensemble modeling has been widely used to solve complex problems as it helps
to improve overall performance and generalization. In this paper, we propose a
novel TemporalAugmenter approach based on ensemble modeling for augmenting the
temporal information capturing for long-term and short-term dependencies in
data in... | [
{
"created": "Sat, 13 Jan 2024 03:53:47 GMT",
"version": "v1"
}
] | 2024-01-17 | [
[
"Elsayed",
"Nelly",
""
],
[
"Zekios",
"Constantinos L.",
""
],
[
"Asadizanjani",
"Navid",
""
],
[
"ElSayed",
"Zag",
""
]
] | Ensemble modeling has been widely used to solve complex problems as it helps to improve overall performance and generalization. In this paper, we propose a novel TemporalAugmenter approach based on ensemble modeling for augmenting the temporal information capturing for long-term and short-term dependencies in data inte... |
1806.01022 | Kilian Verhetsel | Kilian Verhetsel, Jeanne Pellerin, Jean-fran\c{c}ois Remacle | A 44-element mesh of Schneiders' pyramid: bounding the difficulty of
hex-meshing problems | null | null | null | null | cs.CG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper shows that constraint programming techniques can successfully be
used to solve challenging hex-meshing problems. Schneiders' pyramid is a
square-based pyramid whose facets are subdivided into three or four quadrangles
by adding vertices at edge midpoints and facet centroids. In this paper, we
prove that Sc... | [
{
"created": "Mon, 4 Jun 2018 09:20:25 GMT",
"version": "v1"
},
{
"created": "Fri, 21 Sep 2018 09:31:23 GMT",
"version": "v2"
}
] | 2018-09-24 | [
[
"Verhetsel",
"Kilian",
""
],
[
"Pellerin",
"Jeanne",
""
],
[
"Remacle",
"Jean-françois",
""
]
] | This paper shows that constraint programming techniques can successfully be used to solve challenging hex-meshing problems. Schneiders' pyramid is a square-based pyramid whose facets are subdivided into three or four quadrangles by adding vertices at edge midpoints and facet centroids. In this paper, we prove that Schn... |
2208.04766 | Chunyu Sun | Chunyu Sun, Xin Tong, Yang Liu | Semantic Segmentation-Assisted Instance Feature Fusion for Multi-Level
3D Part Instance Segmentation | Accepted by Computational Visual Media. Project page:
https://isunchy.github.io/projects/3d_instance_segmentation.html | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Recognizing 3D part instances from a 3D point cloud is crucial for 3D
structure and scene understanding. Several learning-based approaches use
semantic segmentation and instance center prediction as training tasks and fail
to further exploit the inherent relationship between shape semantics and part
instances. In thi... | [
{
"created": "Tue, 9 Aug 2022 13:22:55 GMT",
"version": "v1"
}
] | 2022-08-10 | [
[
"Sun",
"Chunyu",
""
],
[
"Tong",
"Xin",
""
],
[
"Liu",
"Yang",
""
]
] | Recognizing 3D part instances from a 3D point cloud is crucial for 3D structure and scene understanding. Several learning-based approaches use semantic segmentation and instance center prediction as training tasks and fail to further exploit the inherent relationship between shape semantics and part instances. In this ... |
2109.02337 | Omri Lev | Omri Lev, Anatoly Khina | Universal Joint Source-Channel Coding Under an Input Energy Constraint | This work has been submitted to the IEEE for possible publication.
Copyright may be transferred without notice, after which this version may no
longer be accessible | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the problem of transmitting a source over an infinite-bandwidth
additive white Gaussian noise channel with unknown noise level under an input
energy constraint. We construct a universal scheme that uses modulo-lattice
modulation with multiple layers; for each layer, we employ either analog linear
modulati... | [
{
"created": "Mon, 6 Sep 2021 10:13:13 GMT",
"version": "v1"
},
{
"created": "Wed, 18 Jan 2023 20:17:07 GMT",
"version": "v2"
}
] | 2023-01-20 | [
[
"Lev",
"Omri",
""
],
[
"Khina",
"Anatoly",
""
]
] | We consider the problem of transmitting a source over an infinite-bandwidth additive white Gaussian noise channel with unknown noise level under an input energy constraint. We construct a universal scheme that uses modulo-lattice modulation with multiple layers; for each layer, we employ either analog linear modulation... |
2210.01703 | Holger Severin Bovbjerg | Holger Severin Bovbjerg, Zheng-Hua Tan | Improving Label-Deficient Keyword Spotting Through Self-Supervised
Pretraining | To be published at ICASSP2023 Workshop on Self-supervision in Audio,
Speech and Beyond, 10th of June 2023, Rhodes, Greece. Copyright (c) 2023
IEEE. 5 pages, 3 figures, 3 tables | null | null | null | cs.SD cs.HC cs.LG eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Keyword Spotting (KWS) models are becoming increasingly integrated into
various systems, e.g. voice assistants. To achieve satisfactory performance,
these models typically rely on a large amount of labelled data, limiting their
applications only to situations where such data is available. Self-supervised
Learning (SS... | [
{
"created": "Tue, 4 Oct 2022 15:56:27 GMT",
"version": "v1"
},
{
"created": "Fri, 9 Dec 2022 13:31:06 GMT",
"version": "v2"
},
{
"created": "Wed, 24 May 2023 12:17:31 GMT",
"version": "v3"
}
] | 2023-05-25 | [
[
"Bovbjerg",
"Holger Severin",
""
],
[
"Tan",
"Zheng-Hua",
""
]
] | Keyword Spotting (KWS) models are becoming increasingly integrated into various systems, e.g. voice assistants. To achieve satisfactory performance, these models typically rely on a large amount of labelled data, limiting their applications only to situations where such data is available. Self-supervised Learning (SSL)... |
1909.09750 | Sarthak Arora | Sarthak Arora, Shitij Kumar and Ferat Sahin | Human Position Detection & Tracking with On-robot Time-of-Flight Laser
Ranging Sensors | null | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we propose a simple methodology to detect the partial pose of
a human occupying the manipulator work-space using only on-robot
time--of--flight laser ranging sensors. The sensors are affixed on each link of
the robot in a circular array fashion where each array possesses sixteen single
unit laser rangi... | [
{
"created": "Sat, 21 Sep 2019 00:34:45 GMT",
"version": "v1"
}
] | 2019-09-24 | [
[
"Arora",
"Sarthak",
""
],
[
"Kumar",
"Shitij",
""
],
[
"Sahin",
"Ferat",
""
]
] | In this paper, we propose a simple methodology to detect the partial pose of a human occupying the manipulator work-space using only on-robot time--of--flight laser ranging sensors. The sensors are affixed on each link of the robot in a circular array fashion where each array possesses sixteen single unit laser ranging... |
0908.1188 | Grenville Croll | Thomas A. Grossman, Ozgur Ozluk, Jan Gustavson | The Lookup Technique to Replace Nested-IF Formulas in Spreadsheet
Programming | 10 Pages, 5 Figures; ISBN 978-1-905617-89-0 | Proc. European Spreadsheet Risks Int. Grp. (EuSpRIG) 2009 17-26 | null | null | cs.SE cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Spreadsheet programmers often implement contingent logic using a nested-IF
formula even though this technique is difficult to test and audit and is
believed to be risky. We interpret the programming of contingent logic in
spreadsheets in the context of traditional computer programming. We investigate
the "lookup tech... | [
{
"created": "Sat, 8 Aug 2009 20:53:04 GMT",
"version": "v1"
}
] | 2011-02-19 | [
[
"Grossman",
"Thomas A.",
""
],
[
"Ozluk",
"Ozgur",
""
],
[
"Gustavson",
"Jan",
""
]
] | Spreadsheet programmers often implement contingent logic using a nested-IF formula even though this technique is difficult to test and audit and is believed to be risky. We interpret the programming of contingent logic in spreadsheets in the context of traditional computer programming. We investigate the "lookup techni... |
1402.5503 | Huazi Zhang | Huazi Zhang, Zhaoyang Zhang, Yuen Chau | Distributed Compressed Wideband Sensing in Cognitive Radio Sensor
Networks | null | null | null | null | cs.NI cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A novel distributed compressed wideband sensing scheme for Cognitive Radio
Sensor Networks (CRSN) is proposed in this paper. Taking advantage of the
distributive nature of CRSN, the proposed scheme deploys only one single
narrowband sampler with ultra-low sampling rate at each nodes to accomplish the
wideband spectru... | [
{
"created": "Sat, 22 Feb 2014 11:58:39 GMT",
"version": "v1"
}
] | 2014-02-25 | [
[
"Zhang",
"Huazi",
""
],
[
"Zhang",
"Zhaoyang",
""
],
[
"Chau",
"Yuen",
""
]
] | A novel distributed compressed wideband sensing scheme for Cognitive Radio Sensor Networks (CRSN) is proposed in this paper. Taking advantage of the distributive nature of CRSN, the proposed scheme deploys only one single narrowband sampler with ultra-low sampling rate at each nodes to accomplish the wideband spectrum ... |
1402.5743 | Shen Huang | Shen Huang, Hongfei Cui, Yiming Ding | Evaluation of node importance in complex networks | null | null | null | null | cs.SI physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The assessment of node importance has been a fundamental issue in the
research of complex networks. In this paper, we propose to use the
Shannon-Parry measure (SPM) to evaluate the importance of a node
quantitatively, because SPM is the stationary distribution of the most
unprejudiced random walk on the network. We d... | [
{
"created": "Mon, 24 Feb 2014 08:08:22 GMT",
"version": "v1"
}
] | 2014-02-25 | [
[
"Huang",
"Shen",
""
],
[
"Cui",
"Hongfei",
""
],
[
"Ding",
"Yiming",
""
]
] | The assessment of node importance has been a fundamental issue in the research of complex networks. In this paper, we propose to use the Shannon-Parry measure (SPM) to evaluate the importance of a node quantitatively, because SPM is the stationary distribution of the most unprejudiced random walk on the network. We dem... |
2406.12272 | Jindong Jiang | Jindong Jiang, Fei Deng, Gautam Singh, Minseung Lee, Sungjin Ahn | Slot State Space Models | null | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent State Space Models (SSMs) such as S4, S5, and Mamba have shown
remarkable computational benefits in long-range temporal dependency modeling.
However, in many sequence modeling problems, the underlying process is
inherently modular and it is of interest to have inductive biases that mimic
this modular structure... | [
{
"created": "Tue, 18 Jun 2024 04:59:14 GMT",
"version": "v1"
},
{
"created": "Wed, 19 Jun 2024 22:53:36 GMT",
"version": "v2"
},
{
"created": "Wed, 26 Jun 2024 03:04:04 GMT",
"version": "v3"
},
{
"created": "Sun, 30 Jun 2024 22:25:01 GMT",
"version": "v4"
}
] | 2024-07-02 | [
[
"Jiang",
"Jindong",
""
],
[
"Deng",
"Fei",
""
],
[
"Singh",
"Gautam",
""
],
[
"Lee",
"Minseung",
""
],
[
"Ahn",
"Sungjin",
""
]
] | Recent State Space Models (SSMs) such as S4, S5, and Mamba have shown remarkable computational benefits in long-range temporal dependency modeling. However, in many sequence modeling problems, the underlying process is inherently modular and it is of interest to have inductive biases that mimic this modular structure. ... |
2406.17838 | Jinbin Huang | Jinbin Huang, Wenbin He, Liang Gou, Liu Ren, Chris Bryan | InFiConD: Interactive No-code Fine-tuning with Concept-based Knowledge
Distillation | null | null | null | null | cs.LG cs.AI cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The emergence of large-scale pre-trained models has heightened their
application in various downstream tasks, yet deployment is a challenge in
environments with limited computational resources. Knowledge distillation has
emerged as a solution in such scenarios, whereby knowledge from large teacher
models is transferr... | [
{
"created": "Tue, 25 Jun 2024 16:56:45 GMT",
"version": "v1"
}
] | 2024-06-27 | [
[
"Huang",
"Jinbin",
""
],
[
"He",
"Wenbin",
""
],
[
"Gou",
"Liang",
""
],
[
"Ren",
"Liu",
""
],
[
"Bryan",
"Chris",
""
]
] | The emergence of large-scale pre-trained models has heightened their application in various downstream tasks, yet deployment is a challenge in environments with limited computational resources. Knowledge distillation has emerged as a solution in such scenarios, whereby knowledge from large teacher models is transferred... |
2306.17348 | Jonathan Klawitter | Jonathan Klawitter, Felix Klesen, Joris Y. Scholl, Thomas C. van Dijk,
Alexander Zaft | Visualizing Geophylogenies -- Internal and External Labeling with
Phylogenetic Tree Constraints | A preliminary version of this paper appeared in the proceedings of
the 12th International Conference on Geographic Information Science
(GIScience 2023) | null | null | null | cs.DM cs.CC math.CO | http://creativecommons.org/licenses/by/4.0/ | A geophylogeny is a phylogenetic tree where each leaf (biological taxon) has
an associated geographic location (site). To clearly visualize a geophylogeny,
the tree is typically represented as a crossing-free drawing next to a map. The
correspondence between the taxa and the sites is either shown with matching
labels... | [
{
"created": "Fri, 30 Jun 2023 00:32:08 GMT",
"version": "v1"
}
] | 2023-07-03 | [
[
"Klawitter",
"Jonathan",
""
],
[
"Klesen",
"Felix",
""
],
[
"Scholl",
"Joris Y.",
""
],
[
"van Dijk",
"Thomas C.",
""
],
[
"Zaft",
"Alexander",
""
]
] | A geophylogeny is a phylogenetic tree where each leaf (biological taxon) has an associated geographic location (site). To clearly visualize a geophylogeny, the tree is typically represented as a crossing-free drawing next to a map. The correspondence between the taxa and the sites is either shown with matching labels o... |
2310.07855 | Tim Lebailly | Tim Lebailly, Thomas Stegm\"uller, Behzad Bozorgtabar, Jean-Philippe
Thiran, Tinne Tuytelaars | CrIBo: Self-Supervised Learning via Cross-Image Object-Level
Bootstrapping | ICLR 2024 (spotlight) | null | null | null | cs.CV cs.LG | http://creativecommons.org/licenses/by/4.0/ | Leveraging nearest neighbor retrieval for self-supervised representation
learning has proven beneficial with object-centric images. However, this
approach faces limitations when applied to scene-centric datasets, where
multiple objects within an image are only implicitly captured in the global
representation. Such gl... | [
{
"created": "Wed, 11 Oct 2023 19:57:51 GMT",
"version": "v1"
},
{
"created": "Sun, 3 Mar 2024 09:57:57 GMT",
"version": "v2"
}
] | 2024-03-05 | [
[
"Lebailly",
"Tim",
""
],
[
"Stegmüller",
"Thomas",
""
],
[
"Bozorgtabar",
"Behzad",
""
],
[
"Thiran",
"Jean-Philippe",
""
],
[
"Tuytelaars",
"Tinne",
""
]
] | Leveraging nearest neighbor retrieval for self-supervised representation learning has proven beneficial with object-centric images. However, this approach faces limitations when applied to scene-centric datasets, where multiple objects within an image are only implicitly captured in the global representation. Such glob... |
2007.00415 | Quinten Stokkink | Quinten Stokkink, Georgy Ishmaev, Dick Epema, Johan Pouwelse | A Truly Self-Sovereign Identity System | Accepted for publication at the 46th IEEE Conference on Local
Computer Networks (LCN), October 4-7, 2021 | null | 10.1109/LCN52139.2021.9525011 | null | cs.CR cs.DC | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Existing digital identity management systems fail to deliver the desirable
properties of control by the users of their own identity data, credibility of
disclosed identity data, and network-level anonymity. The recently proposed
Self-Sovereign Identity (SSI) approach promises to give users these properties.
However, ... | [
{
"created": "Wed, 1 Jul 2020 12:14:04 GMT",
"version": "v1"
},
{
"created": "Tue, 28 Sep 2021 09:22:41 GMT",
"version": "v2"
}
] | 2021-09-29 | [
[
"Stokkink",
"Quinten",
""
],
[
"Ishmaev",
"Georgy",
""
],
[
"Epema",
"Dick",
""
],
[
"Pouwelse",
"Johan",
""
]
] | Existing digital identity management systems fail to deliver the desirable properties of control by the users of their own identity data, credibility of disclosed identity data, and network-level anonymity. The recently proposed Self-Sovereign Identity (SSI) approach promises to give users these properties. However, we... |
2009.05634 | Michele Tufano | Michele Tufano, Dawn Drain, Alexey Svyatkovskiy, Neel Sundaresan | Generating Accurate Assert Statements for Unit Test Cases using
Pretrained Transformers | null | null | 10.1145/3524481.3527220 | null | cs.SE cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Unit testing represents the foundational basis of the software testing
pyramid, beneath integration and end-to-end testing. Automated software testing
researchers have proposed a variety of techniques to assist developers in this
time-consuming task. In this paper we present an approach to support developers
in writi... | [
{
"created": "Fri, 11 Sep 2020 19:35:09 GMT",
"version": "v1"
}
] | 2022-03-25 | [
[
"Tufano",
"Michele",
""
],
[
"Drain",
"Dawn",
""
],
[
"Svyatkovskiy",
"Alexey",
""
],
[
"Sundaresan",
"Neel",
""
]
] | Unit testing represents the foundational basis of the software testing pyramid, beneath integration and end-to-end testing. Automated software testing researchers have proposed a variety of techniques to assist developers in this time-consuming task. In this paper we present an approach to support developers in writing... |
1908.03057 | Roni Saputra Permana | Roni Permana Saputra, Nemanja Rakicevic, Petar Kormushev | Sim-to-Real Learning for Casualty Detection from Ground Projected Point
Cloud Data | 10 pages, 10 figures, accepted to the IEEE/RSJ International
Conference on Intelligent Robots and Systems (IROS), 2019 | 2019 IEEE/RSJ International Conference on Intelligent Robots and
Systems (IROS), Macau, China, 2019, pp. 3918-3925 | 10.1109/IROS40897.2019.8967642 | null | cs.CV cs.RO | http://creativecommons.org/publicdomain/zero/1.0/ | This paper addresses the problem of human body detection---particularly a
human body lying on the ground (a.k.a. casualty)---using point cloud data. This
ability to detect a casualty is one of the most important features of mobile
rescue robots, in order for them to be able to operate autonomously. We propose
a deep-... | [
{
"created": "Thu, 8 Aug 2019 13:25:00 GMT",
"version": "v1"
},
{
"created": "Fri, 9 Aug 2019 15:37:31 GMT",
"version": "v2"
}
] | 2020-02-19 | [
[
"Saputra",
"Roni Permana",
""
],
[
"Rakicevic",
"Nemanja",
""
],
[
"Kormushev",
"Petar",
""
]
] | This paper addresses the problem of human body detection---particularly a human body lying on the ground (a.k.a. casualty)---using point cloud data. This ability to detect a casualty is one of the most important features of mobile rescue robots, in order for them to be able to operate autonomously. We propose a deep-le... |
2307.09390 | Kai Li | Yuzhuo Wang, Kai Li | How do software citation formats evolve over time? A longitudinal
analysis of R programming language packages | null | null | null | null | cs.DL cs.CL | http://creativecommons.org/licenses/by/4.0/ | Under the data-driven research paradigm, research software has come to play
crucial roles in nearly every stage of scientific inquiry. Scholars are
advocating for the formal citation of software in academic publications,
treating it on par with traditional research outputs. However, software is
hardly consistently ci... | [
{
"created": "Mon, 17 Jul 2023 09:18:57 GMT",
"version": "v1"
}
] | 2023-07-19 | [
[
"Wang",
"Yuzhuo",
""
],
[
"Li",
"Kai",
""
]
] | Under the data-driven research paradigm, research software has come to play crucial roles in nearly every stage of scientific inquiry. Scholars are advocating for the formal citation of software in academic publications, treating it on par with traditional research outputs. However, software is hardly consistently cite... |
2402.03037 | Federico Clazzer | Federico Clazzer and Farouk Amri and Marcel Grec | An Investigation of the Compressed Sensing Phase in Unsourced Multiple
Access | 6 pages, 4 figures, Accepted for publication at IEEE WCNC 2024 WS | null | null | null | cs.IT eess.SP math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A vast population of low-cost low-power transmitters sporadically sending
small amounts of data over a common wireless medium is one of the main
scenarios for Internet of things (IoT) data communications. At the medium
access, the use of grant-free solutions may be preferred to reduce overhead
even at the cost of mul... | [
{
"created": "Mon, 5 Feb 2024 14:22:25 GMT",
"version": "v1"
}
] | 2024-02-07 | [
[
"Clazzer",
"Federico",
""
],
[
"Amri",
"Farouk",
""
],
[
"Grec",
"Marcel",
""
]
] | A vast population of low-cost low-power transmitters sporadically sending small amounts of data over a common wireless medium is one of the main scenarios for Internet of things (IoT) data communications. At the medium access, the use of grant-free solutions may be preferred to reduce overhead even at the cost of multi... |
2107.10220 | Anastasia Antsiferova | Anastasia Antsiferova, Alexander Yakovenko, Nickolay Safonov, Dmitriy
Kulikov, Alexander Gushin, and Dmitriy Vatolin | Objective video quality metrics application to video codecs comparisons:
choosing the best for subjective quality estimation | null | null | null | null | cs.MM cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Quality assessment plays a key role in creating and comparing video
compression algorithms. Despite the development of a large number of new
methods for assessing quality, generally accepted and well-known codecs
comparisons mainly use the classical methods like PSNR, SSIM and new method
VMAF. These methods can be ca... | [
{
"created": "Wed, 21 Jul 2021 17:18:11 GMT",
"version": "v1"
}
] | 2021-07-22 | [
[
"Antsiferova",
"Anastasia",
""
],
[
"Yakovenko",
"Alexander",
""
],
[
"Safonov",
"Nickolay",
""
],
[
"Kulikov",
"Dmitriy",
""
],
[
"Gushin",
"Alexander",
""
],
[
"Vatolin",
"Dmitriy",
""
]
] | Quality assessment plays a key role in creating and comparing video compression algorithms. Despite the development of a large number of new methods for assessing quality, generally accepted and well-known codecs comparisons mainly use the classical methods like PSNR, SSIM and new method VMAF. These methods can be calc... |
1301.2343 | Harm van Seijen | Harm van Seijen and Richard S. Sutton | Planning by Prioritized Sweeping with Small Backups | null | null | null | null | cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Efficient planning plays a crucial role in model-based reinforcement
learning. Traditionally, the main planning operation is a full backup based on
the current estimates of the successor states. Consequently, its computation
time is proportional to the number of successor states. In this paper, we
introduce a new pla... | [
{
"created": "Thu, 10 Jan 2013 21:54:42 GMT",
"version": "v1"
}
] | 2013-01-14 | [
[
"van Seijen",
"Harm",
""
],
[
"Sutton",
"Richard S.",
""
]
] | Efficient planning plays a crucial role in model-based reinforcement learning. Traditionally, the main planning operation is a full backup based on the current estimates of the successor states. Consequently, its computation time is proportional to the number of successor states. In this paper, we introduce a new plann... |
2101.02649 | Elmira Amirloo Abolfathi | Elmira Amirloo Abolfathi, Jun Luo, Peyman Yadmellat, Kasra Rezaee | CoachNet: An Adversarial Sampling Approach for Reinforcement Learning | NeurIPS2019 Workshop on Safety and Robustness in Decision Making | null | null | null | cs.LG cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Despite the recent successes of reinforcement learning in games and robotics,
it is yet to become broadly practical. Sample efficiency and unreliable
performance in rare but challenging scenarios are two of the major obstacles.
Drawing inspiration from the effectiveness of deliberate practice for achieving
expert-lev... | [
{
"created": "Thu, 7 Jan 2021 17:45:18 GMT",
"version": "v1"
}
] | 2021-01-08 | [
[
"Abolfathi",
"Elmira Amirloo",
""
],
[
"Luo",
"Jun",
""
],
[
"Yadmellat",
"Peyman",
""
],
[
"Rezaee",
"Kasra",
""
]
] | Despite the recent successes of reinforcement learning in games and robotics, it is yet to become broadly practical. Sample efficiency and unreliable performance in rare but challenging scenarios are two of the major obstacles. Drawing inspiration from the effectiveness of deliberate practice for achieving expert-level... |
1503.00711 | Rachel Gauci | Rachel Gauci | Smelling out Code Clones: Clone Detection Tool Evaluation and
Corresponding Challenges | 8 pages, 2 figures | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Software clones have been an active area of research for the past two
decades. However, although numerous clone detection tools are now available,
only a small fraction of the literature has focused on tool evaluation, and
this is in fact still an open problem. This is mostly due to the fact that
standard information... | [
{
"created": "Mon, 2 Mar 2015 20:59:40 GMT",
"version": "v1"
}
] | 2015-03-03 | [
[
"Gauci",
"Rachel",
""
]
] | Software clones have been an active area of research for the past two decades. However, although numerous clone detection tools are now available, only a small fraction of the literature has focused on tool evaluation, and this is in fact still an open problem. This is mostly due to the fact that standard information r... |
2102.12723 | Dmitry Ignatov | L\'eonard Kwuida and Dmitry I. Ignatov | On Interpretability and Similarity in Concept-Based Machine Learning | Invited Talk at AIST 2020 | null | null | null | cs.LG cs.AI cs.DM math.CO stat.ML | http://creativecommons.org/licenses/by/4.0/ | Machine Learning (ML) provides important techniques for classification and
predictions. Most of these are black-box models for users and do not provide
decision-makers with an explanation. For the sake of transparency or more
validity of decisions, the need to develop explainable/interpretable ML-methods
is gaining m... | [
{
"created": "Thu, 25 Feb 2021 07:57:28 GMT",
"version": "v1"
}
] | 2021-02-26 | [
[
"Kwuida",
"Léonard",
""
],
[
"Ignatov",
"Dmitry I.",
""
]
] | Machine Learning (ML) provides important techniques for classification and predictions. Most of these are black-box models for users and do not provide decision-makers with an explanation. For the sake of transparency or more validity of decisions, the need to develop explainable/interpretable ML-methods is gaining mor... |
2205.12551 | Yahui Liu | Bin Ren, Yahui Liu, Yue Song, Wei Bi, Rita Cucchiara, Nicu Sebe, Wei
Wang | Masked Jigsaw Puzzle: A Versatile Position Embedding for Vision
Transformers | Accepted to CVPR2023 | null | null | null | cs.CV cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Position Embeddings (PEs), an arguably indispensable component in Vision
Transformers (ViTs), have been shown to improve the performance of ViTs on many
vision tasks. However, PEs have a potentially high risk of privacy leakage
since the spatial information of the input patches is exposed. This caveat
naturally raise... | [
{
"created": "Wed, 25 May 2022 07:56:18 GMT",
"version": "v1"
},
{
"created": "Sun, 5 Mar 2023 11:04:12 GMT",
"version": "v2"
},
{
"created": "Fri, 26 May 2023 07:42:21 GMT",
"version": "v3"
}
] | 2023-05-29 | [
[
"Ren",
"Bin",
""
],
[
"Liu",
"Yahui",
""
],
[
"Song",
"Yue",
""
],
[
"Bi",
"Wei",
""
],
[
"Cucchiara",
"Rita",
""
],
[
"Sebe",
"Nicu",
""
],
[
"Wang",
"Wei",
""
]
] | Position Embeddings (PEs), an arguably indispensable component in Vision Transformers (ViTs), have been shown to improve the performance of ViTs on many vision tasks. However, PEs have a potentially high risk of privacy leakage since the spatial information of the input patches is exposed. This caveat naturally raises ... |
1104.0298 | Shaghayegh A.zadegan | Ashkan Khatir, Shaghayegh Abdolahzadegan and Iman Mahmoudi | High Speed Multiple Valued Logic Full Adder Using Carbon Nano Tube Field
Effect Transistor | null | null | null | null | cs.AR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | High speed Full-Adder (FA) module is a critical element in designing high
performance arithmetic circuits. In this paper, we propose a new high speed
multiple-valued logic FA module. The proposed FA is constructed by 14
transistors and 3 capacitors, using carbon nano-tube field effect transistor
(CNFET) technology. F... | [
{
"created": "Sat, 2 Apr 2011 07:14:38 GMT",
"version": "v1"
}
] | 2011-04-05 | [
[
"Khatir",
"Ashkan",
""
],
[
"Abdolahzadegan",
"Shaghayegh",
""
],
[
"Mahmoudi",
"Iman",
""
]
] | High speed Full-Adder (FA) module is a critical element in designing high performance arithmetic circuits. In this paper, we propose a new high speed multiple-valued logic FA module. The proposed FA is constructed by 14 transistors and 3 capacitors, using carbon nano-tube field effect transistor (CNFET) technology. Fur... |
2011.04772 | Wenzhong Yan | Wenzhong Yan and Ankur Mehta | Towards One-Dollar Robots: An Integrated Design and Fabrication Strategy
for Electromechanical Systems | This paper has been accepted for publication in Robotica. 18 pages, 9
figures | Robotica, pp.1-17 (2020) | 10.1017/S0263574720001101 | null | cs.RO physics.app-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | To improve the accessibility of robotics, we propose a design and fabrication
strategy to build low-cost electromechanical systems for robotic devices. Our
method, based on origami-inspired cut-and-fold and E-textiles techniques, aims
at minimizing the resources for robot creation. Specifically, we explore
techniques... | [
{
"created": "Mon, 9 Nov 2020 21:18:05 GMT",
"version": "v1"
}
] | 2021-08-20 | [
[
"Yan",
"Wenzhong",
""
],
[
"Mehta",
"Ankur",
""
]
] | To improve the accessibility of robotics, we propose a design and fabrication strategy to build low-cost electromechanical systems for robotic devices. Our method, based on origami-inspired cut-and-fold and E-textiles techniques, aims at minimizing the resources for robot creation. Specifically, we explore techniques t... |
2002.02516 | Ran Cohen | Elette Boyle and Ran Cohen and Aarushi Goel | Breaking the $O(\sqrt n)$-Bit Barrier: Byzantine Agreement with Polylog
Bits Per Party | Preliminary version appeared in PODC'21; full version appeared in
Journal of Cryptology 2023 | null | null | null | cs.CR cs.DC | http://creativecommons.org/licenses/by/4.0/ | Byzantine agreement (BA), the task of $n$ parties to agree on one of their
input bits in the face of malicious agents, is a powerful primitive that lies
at the core of a vast range of distributed protocols. Interestingly, in
protocols with the best overall communication, the demands of the parties are
highly unbalanc... | [
{
"created": "Thu, 6 Feb 2020 21:19:32 GMT",
"version": "v1"
},
{
"created": "Mon, 13 Jul 2020 15:28:28 GMT",
"version": "v2"
},
{
"created": "Tue, 16 Feb 2021 20:34:36 GMT",
"version": "v3"
},
{
"created": "Mon, 26 Jul 2021 18:51:58 GMT",
"version": "v4"
},
{
"cr... | 2023-10-23 | [
[
"Boyle",
"Elette",
""
],
[
"Cohen",
"Ran",
""
],
[
"Goel",
"Aarushi",
""
]
] | Byzantine agreement (BA), the task of $n$ parties to agree on one of their input bits in the face of malicious agents, is a powerful primitive that lies at the core of a vast range of distributed protocols. Interestingly, in protocols with the best overall communication, the demands of the parties are highly unbalanced... |
2312.05832 | Yang Zhang | Yang Zhang, Huilin Pan, Mingying Li, An Wang, Yang Zhou, Hongliang Ren | Spatial-wise Dynamic Distillation for MLP-like Efficient Visual Fault
Detection of Freight Trains | 10 pages, 6 figures | null | null | null | cs.CV eess.IV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Despite the successful application of convolutional neural networks (CNNs) in
object detection tasks, their efficiency in detecting faults from freight train
images remains inadequate for implementation in real-world engineering
scenarios. Existing modeling shortcomings of spatial invariance and pooling
layers in con... | [
{
"created": "Sun, 10 Dec 2023 09:18:24 GMT",
"version": "v1"
}
] | 2023-12-12 | [
[
"Zhang",
"Yang",
""
],
[
"Pan",
"Huilin",
""
],
[
"Li",
"Mingying",
""
],
[
"Wang",
"An",
""
],
[
"Zhou",
"Yang",
""
],
[
"Ren",
"Hongliang",
""
]
] | Despite the successful application of convolutional neural networks (CNNs) in object detection tasks, their efficiency in detecting faults from freight train images remains inadequate for implementation in real-world engineering scenarios. Existing modeling shortcomings of spatial invariance and pooling layers in conve... |
1612.09352 | Ingmar Steiner | Ingmar Steiner, S\'ebastien Le Maguer and Alexander Hewer | Synthesis of Tongue Motion and Acoustics from Text using a Multimodal
Articulatory Database | null | IEEE/ACM Transactions on Audio, Speech, and Language Processing 25
(2017) 2351 - 2361 | 10.1109/TASLP.2017.2756818 | null | cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present an end-to-end text-to-speech (TTS) synthesis system that generates
audio and synchronized tongue motion directly from text. This is achieved by
adapting a 3D model of the tongue surface to an articulatory dataset and
training a statistical parametric speech synthesis system directly on the
tongue model par... | [
{
"created": "Fri, 30 Dec 2016 00:05:03 GMT",
"version": "v1"
},
{
"created": "Wed, 20 Sep 2017 15:35:43 GMT",
"version": "v2"
},
{
"created": "Tue, 12 Dec 2017 15:28:14 GMT",
"version": "v3"
},
{
"created": "Fri, 13 Apr 2018 14:36:28 GMT",
"version": "v4"
}
] | 2018-04-17 | [
[
"Steiner",
"Ingmar",
""
],
[
"Maguer",
"Sébastien Le",
""
],
[
"Hewer",
"Alexander",
""
]
] | We present an end-to-end text-to-speech (TTS) synthesis system that generates audio and synchronized tongue motion directly from text. This is achieved by adapting a 3D model of the tongue surface to an articulatory dataset and training a statistical parametric speech synthesis system directly on the tongue model param... |
1811.03217 | Weichen Dai | Weichen Dai, Yu Zhang, Ping Li, Zheng Fang, and Sebastian Scherer | RGB-D SLAM in Dynamic Environments Using Point Correlations | 18 pages | null | null | null | cs.CV cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, a simultaneous localization and mapping (SLAM) method that
eliminates the influence of moving objects in dynamic environments is proposed.
This method utilizes the correlation between map points to separate points that
are part of the static scene and points that are part of different moving
objects in... | [
{
"created": "Thu, 8 Nov 2018 01:52:00 GMT",
"version": "v1"
},
{
"created": "Mon, 20 Jul 2020 08:55:15 GMT",
"version": "v2"
}
] | 2020-07-21 | [
[
"Dai",
"Weichen",
""
],
[
"Zhang",
"Yu",
""
],
[
"Li",
"Ping",
""
],
[
"Fang",
"Zheng",
""
],
[
"Scherer",
"Sebastian",
""
]
] | In this paper, a simultaneous localization and mapping (SLAM) method that eliminates the influence of moving objects in dynamic environments is proposed. This method utilizes the correlation between map points to separate points that are part of the static scene and points that are part of different moving objects into... |
2105.08812 | Mohammed Ibrahim | Mohammed Ibrahim, Susan Gauch, Omar Salman, Mohammed Alqahatani | An Automated Method to Enrich Consumer Health Vocabularies Using GloVe
Word Embeddings and An Auxiliary Lexical Resource | 24 pages, 7 figures, 7 Tables, Journal | null | 10.2196/preprints.26160 | null | cs.CL cs.LG | http://creativecommons.org/licenses/by/4.0/ | Background: Clear language makes communication easier between any two
parties. A layman may have difficulty communicating with a professional due to
not understanding the specialized terms common to the domain. In healthcare, it
is rare to find a layman knowledgeable in medical terminology which can lead to
poor unde... | [
{
"created": "Tue, 18 May 2021 20:16:45 GMT",
"version": "v1"
}
] | 2021-05-20 | [
[
"Ibrahim",
"Mohammed",
""
],
[
"Gauch",
"Susan",
""
],
[
"Salman",
"Omar",
""
],
[
"Alqahatani",
"Mohammed",
""
]
] | Background: Clear language makes communication easier between any two parties. A layman may have difficulty communicating with a professional due to not understanding the specialized terms common to the domain. In healthcare, it is rare to find a layman knowledgeable in medical terminology which can lead to poor unders... |
1103.2431 | Stefano Marano | Stefano Marano, Vincenzo Matta, Ting He, Lang Tong | The Embedding Capacity of Information Flows Under Renewal Traffic | Sumbitted to IEEE Trans. on Information Theory on March 10, 2011 | null | 10.1109/TIT.2012.2227672 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Given two independent point processes and a certain rule for matching points
between them, what is the fraction of matched points over infinitely long
streams? In many application contexts, e.g., secure networking, a meaningful
matching rule is that of a maximum causal delay, and the problem is related to
embedding a... | [
{
"created": "Sat, 12 Mar 2011 09:38:30 GMT",
"version": "v1"
},
{
"created": "Tue, 15 Mar 2011 17:18:16 GMT",
"version": "v2"
}
] | 2016-11-17 | [
[
"Marano",
"Stefano",
""
],
[
"Matta",
"Vincenzo",
""
],
[
"He",
"Ting",
""
],
[
"Tong",
"Lang",
""
]
] | Given two independent point processes and a certain rule for matching points between them, what is the fraction of matched points over infinitely long streams? In many application contexts, e.g., secure networking, a meaningful matching rule is that of a maximum causal delay, and the problem is related to embedding a f... |
2101.04051 | Tun Zhu | Tun Zhu, Daoxin Zhang, Yao Hu, Tianran Wang, Xiaolong Jiang, Jianke
Zhu, Jiawei Li | Horizontal-to-Vertical Video Conversion | Accept by IEEE Transactions on Multimedia | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Alongside the prevalence of mobile videos, the general public leans towards
consuming vertical videos on hand-held devices. To revitalize the exposure of
horizontal contents, we hereby set forth the exploration of automated
horizontal-to-vertical (abbreviated as H2V) video conversion with our proposed
H2V framework, ... | [
{
"created": "Mon, 11 Jan 2021 17:37:31 GMT",
"version": "v1"
},
{
"created": "Wed, 23 Jun 2021 15:37:45 GMT",
"version": "v2"
}
] | 2021-06-24 | [
[
"Zhu",
"Tun",
""
],
[
"Zhang",
"Daoxin",
""
],
[
"Hu",
"Yao",
""
],
[
"Wang",
"Tianran",
""
],
[
"Jiang",
"Xiaolong",
""
],
[
"Zhu",
"Jianke",
""
],
[
"Li",
"Jiawei",
""
]
] | Alongside the prevalence of mobile videos, the general public leans towards consuming vertical videos on hand-held devices. To revitalize the exposure of horizontal contents, we hereby set forth the exploration of automated horizontal-to-vertical (abbreviated as H2V) video conversion with our proposed H2V framework, ac... |
2103.06254 | Valerie Chen | Valerie Chen, Jeffrey Li, Joon Sik Kim, Gregory Plumb, Ameet Talwalkar | Interpretable Machine Learning: Moving From Mythos to Diagnostics | Presented at ICML HILL Workshop 2021 | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Despite increasing interest in the field of Interpretable Machine Learning
(IML), a significant gap persists between the technical objectives targeted by
researchers' methods and the high-level goals of consumers' use cases. In this
work, we synthesize foundational work on IML methods and evaluation into an
actionabl... | [
{
"created": "Wed, 10 Mar 2021 18:38:33 GMT",
"version": "v1"
},
{
"created": "Wed, 28 Jul 2021 23:42:45 GMT",
"version": "v2"
}
] | 2021-07-30 | [
[
"Chen",
"Valerie",
""
],
[
"Li",
"Jeffrey",
""
],
[
"Kim",
"Joon Sik",
""
],
[
"Plumb",
"Gregory",
""
],
[
"Talwalkar",
"Ameet",
""
]
] | Despite increasing interest in the field of Interpretable Machine Learning (IML), a significant gap persists between the technical objectives targeted by researchers' methods and the high-level goals of consumers' use cases. In this work, we synthesize foundational work on IML methods and evaluation into an actionable ... |
2308.00868 | Hoda Heidari | Alex John London, Hoda Heidari | Beneficent Intelligence: A Capability Approach to Modeling Benefit,
Assistance, and Associated Moral Failures through AI Systems | null | null | null | null | cs.AI cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The prevailing discourse around AI ethics lacks the language and formalism
necessary to capture the diverse ethical concerns that emerge when AI systems
interact with individuals. Drawing on Sen and Nussbaum's capability approach,
we present a framework formalizing a network of ethical concepts and
entitlements neces... | [
{
"created": "Tue, 1 Aug 2023 22:38:14 GMT",
"version": "v1"
},
{
"created": "Thu, 7 Sep 2023 01:08:34 GMT",
"version": "v2"
}
] | 2023-09-08 | [
[
"London",
"Alex John",
""
],
[
"Heidari",
"Hoda",
""
]
] | The prevailing discourse around AI ethics lacks the language and formalism necessary to capture the diverse ethical concerns that emerge when AI systems interact with individuals. Drawing on Sen and Nussbaum's capability approach, we present a framework formalizing a network of ethical concepts and entitlements necessa... |
2307.12689 | Singh Akansha | Akansha A | Addressing the Impact of Localized Training Data in Graph Neural
Networks | 6 pages, 4 figures | IEEE 7th international conference CERA2023 | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by/4.0/ | Graph Neural Networks (GNNs) have achieved notable success in learning from
graph-structured data, owing to their ability to capture intricate dependencies
and relationships between nodes. They excel in various applications, including
semi-supervised node classification, link prediction, and graph generation.
However... | [
{
"created": "Mon, 24 Jul 2023 11:04:22 GMT",
"version": "v1"
},
{
"created": "Tue, 28 Nov 2023 10:59:01 GMT",
"version": "v2"
}
] | 2023-11-29 | [
[
"A",
"Akansha",
""
]
] | Graph Neural Networks (GNNs) have achieved notable success in learning from graph-structured data, owing to their ability to capture intricate dependencies and relationships between nodes. They excel in various applications, including semi-supervised node classification, link prediction, and graph generation. However, ... |
2210.03856 | Robin Hankin Dr | Robin K. S. Hankin | Disordered vectors in R: introducing the disordR package | 8 pages | null | null | null | cs.SC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Objects in the {\tt stl map} class of {\tt C++} associate a value to each of
a set of keys. Accessing values or keys of such an object is problematic in the
R programming language because the value-key pairs are not stored in a
well-defined order. This document motivates and discusses the concept of
"disordered vecto... | [
{
"created": "Sat, 8 Oct 2022 00:14:02 GMT",
"version": "v1"
},
{
"created": "Mon, 17 Oct 2022 00:21:31 GMT",
"version": "v2"
}
] | 2022-10-18 | [
[
"Hankin",
"Robin K. S.",
""
]
] | Objects in the {\tt stl map} class of {\tt C++} associate a value to each of a set of keys. Accessing values or keys of such an object is problematic in the R programming language because the value-key pairs are not stored in a well-defined order. This document motivates and discusses the concept of "disordered vector"... |
2307.09944 | Georgios Leontidis | Miles Everett, Mingjun Zhong and Georgios Leontidis | ProtoCaps: A Fast and Non-Iterative Capsule Network Routing Method | 13 pages, 5 figures, 5 tables | TMLR December 2023 (https://openreview.net/pdf?id=Id10mlBjcx) | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Capsule Networks have emerged as a powerful class of deep learning
architectures, known for robust performance with relatively few parameters
compared to Convolutional Neural Networks (CNNs). However, their inherent
efficiency is often overshadowed by their slow, iterative routing mechanisms
which establish connectio... | [
{
"created": "Wed, 19 Jul 2023 12:39:40 GMT",
"version": "v1"
},
{
"created": "Fri, 8 Mar 2024 09:54:12 GMT",
"version": "v2"
}
] | 2024-03-11 | [
[
"Everett",
"Miles",
""
],
[
"Zhong",
"Mingjun",
""
],
[
"Leontidis",
"Georgios",
""
]
] | Capsule Networks have emerged as a powerful class of deep learning architectures, known for robust performance with relatively few parameters compared to Convolutional Neural Networks (CNNs). However, their inherent efficiency is often overshadowed by their slow, iterative routing mechanisms which establish connections... |
2310.14610 | Jaechan Lee | Jaechan Lee, Alisa Liu, Orevaoghene Ahia, Hila Gonen, Noah A. Smith | That was the last straw, we need more: Are Translation Systems Sensitive
to Disambiguating Context? | EMNLP 2023 Findings | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | The translation of ambiguous text presents a challenge for translation
systems, as it requires using the surrounding context to disambiguate the
intended meaning as much as possible. While prior work has studied ambiguities
that result from different grammatical features of the source and target
language, we study se... | [
{
"created": "Mon, 23 Oct 2023 06:38:49 GMT",
"version": "v1"
}
] | 2023-10-24 | [
[
"Lee",
"Jaechan",
""
],
[
"Liu",
"Alisa",
""
],
[
"Ahia",
"Orevaoghene",
""
],
[
"Gonen",
"Hila",
""
],
[
"Smith",
"Noah A.",
""
]
] | The translation of ambiguous text presents a challenge for translation systems, as it requires using the surrounding context to disambiguate the intended meaning as much as possible. While prior work has studied ambiguities that result from different grammatical features of the source and target language, we study sema... |
1511.03339 | Liang-Chieh Chen | Liang-Chieh Chen, Yi Yang, Jiang Wang, Wei Xu, Alan L. Yuille | Attention to Scale: Scale-aware Semantic Image Segmentation | 14 pages. Accepted to appear at CVPR 2016 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Incorporating multi-scale features in fully convolutional neural networks
(FCNs) has been a key element to achieving state-of-the-art performance on
semantic image segmentation. One common way to extract multi-scale features is
to feed multiple resized input images to a shared deep network and then merge
the resultin... | [
{
"created": "Tue, 10 Nov 2015 23:53:57 GMT",
"version": "v1"
},
{
"created": "Thu, 2 Jun 2016 02:02:21 GMT",
"version": "v2"
}
] | 2016-06-03 | [
[
"Chen",
"Liang-Chieh",
""
],
[
"Yang",
"Yi",
""
],
[
"Wang",
"Jiang",
""
],
[
"Xu",
"Wei",
""
],
[
"Yuille",
"Alan L.",
""
]
] | Incorporating multi-scale features in fully convolutional neural networks (FCNs) has been a key element to achieving state-of-the-art performance on semantic image segmentation. One common way to extract multi-scale features is to feed multiple resized input images to a shared deep network and then merge the resulting ... |
2407.15823 | Can Rong | Can Rong, Jingtao Ding, Yan Liu, Yong Li | A Large-scale Benchmark Dataset for Commuting Origin-destination Matrix
Generation | 16 pages, 9 figures | null | null | null | cs.SI | http://creativecommons.org/licenses/by/4.0/ | The commuting origin-destination~(OD) matrix is a critical input for urban
planning and transportation, providing crucial information about the population
residing in one region and working in another within an interested area.
Despite its importance, obtaining and updating the matrix is challenging due to
high costs... | [
{
"created": "Mon, 22 Jul 2024 17:37:04 GMT",
"version": "v1"
},
{
"created": "Tue, 23 Jul 2024 17:02:56 GMT",
"version": "v2"
},
{
"created": "Wed, 24 Jul 2024 00:59:05 GMT",
"version": "v3"
}
] | 2024-07-25 | [
[
"Rong",
"Can",
""
],
[
"Ding",
"Jingtao",
""
],
[
"Liu",
"Yan",
""
],
[
"Li",
"Yong",
""
]
] | The commuting origin-destination~(OD) matrix is a critical input for urban planning and transportation, providing crucial information about the population residing in one region and working in another within an interested area. Despite its importance, obtaining and updating the matrix is challenging due to high costs a... |
2405.10094 | Tim Lyon | Piotr Ostropolski-Nalewaja and Tim S. Lyon | Decidability of Quasi-Dense Modal Logics | preprint; accepted to LICS 2024 | null | null | null | cs.LO math.LO | http://creativecommons.org/licenses/by/4.0/ | The decidability of axiomatic extensions of the modal logic K with modal
reduction principles, i.e. axioms of the form $\Diamond^{k} p \rightarrow
\Diamond^{n} p$, has remained a long-standing open problem. In this paper, we
make significant progress toward solving this problem and show that
decidability holds for a ... | [
{
"created": "Thu, 16 May 2024 13:47:25 GMT",
"version": "v1"
},
{
"created": "Wed, 5 Jun 2024 16:30:13 GMT",
"version": "v2"
}
] | 2024-06-06 | [
[
"Ostropolski-Nalewaja",
"Piotr",
""
],
[
"Lyon",
"Tim S.",
""
]
] | The decidability of axiomatic extensions of the modal logic K with modal reduction principles, i.e. axioms of the form $\Diamond^{k} p \rightarrow \Diamond^{n} p$, has remained a long-standing open problem. In this paper, we make significant progress toward solving this problem and show that decidability holds for a la... |
2004.04787 | Ha Q. Ngo | Ha Q. Ngo, Christoph Henke, Frank Hees | An End-to-End Learning Approach for Trajectory Prediction in Pedestrian
Zones | Submitted 23 March 2020 | 2020 ACM/IEEE International Conference on Human-Robot Interaction.
Workshop on The Forgotten in HRI: Incidental Encounters with Robots in Public
Spaces | null | null | cs.AI cs.LG cs.RO | http://creativecommons.org/licenses/by/4.0/ | This paper aims to explore the problem of trajectory prediction in
heterogeneous pedestrian zones, where social dynamics representation is a big
challenge. Proposed is an end-to-end learning framework for prediction accuracy
improvement based on an attention mechanism to learn social interaction from
multi-factor inp... | [
{
"created": "Thu, 9 Apr 2020 19:56:45 GMT",
"version": "v1"
},
{
"created": "Mon, 4 Jan 2021 22:43:17 GMT",
"version": "v2"
}
] | 2021-01-06 | [
[
"Ngo",
"Ha Q.",
""
],
[
"Henke",
"Christoph",
""
],
[
"Hees",
"Frank",
""
]
] | This paper aims to explore the problem of trajectory prediction in heterogeneous pedestrian zones, where social dynamics representation is a big challenge. Proposed is an end-to-end learning framework for prediction accuracy improvement based on an attention mechanism to learn social interaction from multi-factor input... |
1506.00277 | Mircea Andrecut Dr | M. Andrecut | A Matrix Public Key Cryptosystem | 18 pages, C code included | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We discuss a matrix public key cryptosystem and its numerical implementation.
| [
{
"created": "Sun, 31 May 2015 19:35:08 GMT",
"version": "v1"
}
] | 2015-06-02 | [
[
"Andrecut",
"M.",
""
]
] | We discuss a matrix public key cryptosystem and its numerical implementation. |
1004.2626 | Toby Walsh | Christian Bessiere and George Katsirelos and Nina Narodytska and
Claude-Guy Quimper and Toby Walsh | Propagating Conjunctions of AllDifferent Constraints | AAAI 2010, Proceedings of the Twenty-Fourth AAAI Conference on
Artificial Intelligence | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study propagation algorithms for the conjunction of two AllDifferent
constraints. Solutions of an AllDifferent constraint can be seen as perfect
matchings on the variable/value bipartite graph. Therefore, we investigate the
problem of finding simultaneous bipartite matchings. We present an extension of
the famous ... | [
{
"created": "Thu, 15 Apr 2010 13:37:49 GMT",
"version": "v1"
}
] | 2010-04-16 | [
[
"Bessiere",
"Christian",
""
],
[
"Katsirelos",
"George",
""
],
[
"Narodytska",
"Nina",
""
],
[
"Quimper",
"Claude-Guy",
""
],
[
"Walsh",
"Toby",
""
]
] | We study propagation algorithms for the conjunction of two AllDifferent constraints. Solutions of an AllDifferent constraint can be seen as perfect matchings on the variable/value bipartite graph. Therefore, we investigate the problem of finding simultaneous bipartite matchings. We present an extension of the famous Ha... |
2106.00133 | Maayan Shvo | Maayan Shvo, Zhiming Hu, Rodrigo Toro Icarte, Iqbal Mohomed, Allan
Jepson, Sheila A. McIlraith | AppBuddy: Learning to Accomplish Tasks in Mobile Apps via Reinforcement
Learning | null | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Human beings, even small children, quickly become adept at figuring out how
to use applications on their mobile devices. Learning to use a new app is often
achieved via trial-and-error, accelerated by transfer of knowledge from past
experiences with like apps. The prospect of building a smarter smartphone - one
that ... | [
{
"created": "Mon, 31 May 2021 23:02:38 GMT",
"version": "v1"
},
{
"created": "Sun, 6 Jun 2021 17:56:58 GMT",
"version": "v2"
}
] | 2021-06-08 | [
[
"Shvo",
"Maayan",
""
],
[
"Hu",
"Zhiming",
""
],
[
"Icarte",
"Rodrigo Toro",
""
],
[
"Mohomed",
"Iqbal",
""
],
[
"Jepson",
"Allan",
""
],
[
"McIlraith",
"Sheila A.",
""
]
] | Human beings, even small children, quickly become adept at figuring out how to use applications on their mobile devices. Learning to use a new app is often achieved via trial-and-error, accelerated by transfer of knowledge from past experiences with like apps. The prospect of building a smarter smartphone - one that ca... |
2405.11408 | Boyang Yan | Boyang Yan | Workload Prediction in P4 Programmable Switches | 15 pages | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The rapid expansion of cloud services and their unpredictable workload
demands present significant challenges in resource management. Traditional
resource management approaches, primarily based on static rules and thresholds,
often fail to ensure cost-effectiveness and optimal resource utilization. This
research intr... | [
{
"created": "Sat, 18 May 2024 22:54:39 GMT",
"version": "v1"
},
{
"created": "Mon, 29 Jul 2024 14:00:44 GMT",
"version": "v2"
}
] | 2024-07-30 | [
[
"Yan",
"Boyang",
""
]
] | The rapid expansion of cloud services and their unpredictable workload demands present significant challenges in resource management. Traditional resource management approaches, primarily based on static rules and thresholds, often fail to ensure cost-effectiveness and optimal resource utilization. This research introd... |
2306.16115 | Jordan Smith | Jordan Smith, Tom Naunton Morgan, Paul Williams, Qaiser Malik, Simon
Rasalingham | Real-World Performance of Autonomously Reporting Normal Chest
Radiographs in NHS Trusts Using a Deep-Learning Algorithm on the GP Pathway | 7 pages, 5 figures, 2 tables. Submitted to Clinical Radiology | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | AIM To analyse the performance of a deep-learning (DL) algorithm currently
deployed as diagnostic decision support software in two NHS Trusts used to
identify normal chest x-rays in active clinical pathways.
MATERIALS AND METHODS A DL algorithm has been deployed in Somerset NHS
Foundation Trust (SFT) since December... | [
{
"created": "Wed, 28 Jun 2023 11:34:42 GMT",
"version": "v1"
}
] | 2023-06-29 | [
[
"Smith",
"Jordan",
""
],
[
"Morgan",
"Tom Naunton",
""
],
[
"Williams",
"Paul",
""
],
[
"Malik",
"Qaiser",
""
],
[
"Rasalingham",
"Simon",
""
]
] | AIM To analyse the performance of a deep-learning (DL) algorithm currently deployed as diagnostic decision support software in two NHS Trusts used to identify normal chest x-rays in active clinical pathways. MATERIALS AND METHODS A DL algorithm has been deployed in Somerset NHS Foundation Trust (SFT) since December 202... |
1905.13447 | Shafiq Ul Rehman | Parminder Singh, Shafiq Ul Rehman, Selvakumar Manickam | Comparative Analysis of State-of-the-Art EDoS Mitigation Techniques in
Cloud Computing Environment | Anomaly Detection Techniques, Cloud Computing, DDoS Attack, EDoS
Attack, Mitigation Techniques, Security Threats | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A new variant of the DDoS attack, called Economic Denial of Sustainability
attack has emerged. Since the cloud service is based on the pay-per-use model,
the EDoS attack endeavors to scale up the resource usage over time to the point
the purveyor of the server is financially incapable of sustaining the service
due to... | [
{
"created": "Fri, 31 May 2019 07:17:53 GMT",
"version": "v1"
},
{
"created": "Tue, 11 Jun 2019 04:08:15 GMT",
"version": "v2"
}
] | 2019-06-12 | [
[
"Singh",
"Parminder",
""
],
[
"Rehman",
"Shafiq Ul",
""
],
[
"Manickam",
"Selvakumar",
""
]
] | A new variant of the DDoS attack, called Economic Denial of Sustainability attack has emerged. Since the cloud service is based on the pay-per-use model, the EDoS attack endeavors to scale up the resource usage over time to the point the purveyor of the server is financially incapable of sustaining the service due to t... |
2105.12527 | Jorge Mart\'in-P\'erez | Jorge Mart\'in-P\'erez, Koteswararao Kondepu, Danny De Vleeschauwer,
Venkatarami Reddy, Carlos Guimar\~aes, Andrea Sgambelluri, Luca Valcarenghi,
Chrysa Papagianni, Carlos J. Bernardos | Dimensioning of V2X Services in 5G Networks through Forecast-based
Scaling | 10 pages, 7 figures, pre-print, arXiv:1406.6768 | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With the increasing adoption of intelligent transportation systems and the
upcoming era of autonomous vehicles, vehicular services (such as, remote
driving, cooperative awareness, and hazard warning) will face an ever changing
and dynamic environment. Traffic flows on the roads is a critical condition for
these servi... | [
{
"created": "Wed, 26 May 2021 13:04:05 GMT",
"version": "v1"
}
] | 2021-05-27 | [
[
"Martín-Pérez",
"Jorge",
""
],
[
"Kondepu",
"Koteswararao",
""
],
[
"De Vleeschauwer",
"Danny",
""
],
[
"Reddy",
"Venkatarami",
""
],
[
"Guimarães",
"Carlos",
""
],
[
"Sgambelluri",
"Andrea",
""
],
[
"Valcarenghi",... | With the increasing adoption of intelligent transportation systems and the upcoming era of autonomous vehicles, vehicular services (such as, remote driving, cooperative awareness, and hazard warning) will face an ever changing and dynamic environment. Traffic flows on the roads is a critical condition for these service... |
1307.3811 | Weifeng Liu | Weifeng Liu, Dacheng Tao, Jun Cheng, and Yuanyan Tang | Multiview Hessian Discriminative Sparse Coding for Image Annotation | 35 pages | Computer vision and image understanding,118(2014) 50-60 | null | null | cs.MM cs.CV cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Sparse coding represents a signal sparsely by using an overcomplete
dictionary, and obtains promising performance in practical computer vision
applications, especially for signal restoration tasks such as image denoising
and image inpainting. In recent years, many discriminative sparse coding
algorithms have been dev... | [
{
"created": "Mon, 15 Jul 2013 03:14:05 GMT",
"version": "v1"
}
] | 2013-12-24 | [
[
"Liu",
"Weifeng",
""
],
[
"Tao",
"Dacheng",
""
],
[
"Cheng",
"Jun",
""
],
[
"Tang",
"Yuanyan",
""
]
] | Sparse coding represents a signal sparsely by using an overcomplete dictionary, and obtains promising performance in practical computer vision applications, especially for signal restoration tasks such as image denoising and image inpainting. In recent years, many discriminative sparse coding algorithms have been devel... |
1301.5596 | Ted Hurley | Barry Hurley and Ted Hurley | Systems of MDS codes from units and idempotents | null | Discrete Math., Vol 335, 81-91, 2014 | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Algebraic systems are constructed from which series of maximum distance
separable (mds) codes are derived. The methods use unit and idempotent schemes.
| [
{
"created": "Wed, 23 Jan 2013 18:38:16 GMT",
"version": "v1"
}
] | 2020-04-14 | [
[
"Hurley",
"Barry",
""
],
[
"Hurley",
"Ted",
""
]
] | Algebraic systems are constructed from which series of maximum distance separable (mds) codes are derived. The methods use unit and idempotent schemes. |
1706.10098 | Stefan Eilemann | Stefan Eilemann, Marwan Abdellah, Nicolas Antille, Ahmet Bilgili,
Grigory Chevtchenko, Raphael Dumusc, Cyrille Favreau, Juan Hernando, Daniel
Nachbaur, Pawel Podhajski, Jafet Villafranca, Felix Sch\"urmann | From Big Data to Big Displays: High-Performance Visualization at Blue
Brain | ISC 2017 Visualization at Scale workshop | null | null | null | cs.GR cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Blue Brain has pushed high-performance visualization (HPV) to complement its
HPC strategy since its inception in 2007. In 2011, this strategy has been
accelerated to develop innovative visualization solutions through increased
funding and strategic partnerships with other research institutions.
We present the key e... | [
{
"created": "Fri, 30 Jun 2017 10:08:11 GMT",
"version": "v1"
}
] | 2017-07-03 | [
[
"Eilemann",
"Stefan",
""
],
[
"Abdellah",
"Marwan",
""
],
[
"Antille",
"Nicolas",
""
],
[
"Bilgili",
"Ahmet",
""
],
[
"Chevtchenko",
"Grigory",
""
],
[
"Dumusc",
"Raphael",
""
],
[
"Favreau",
"Cyrille",
""
... | Blue Brain has pushed high-performance visualization (HPV) to complement its HPC strategy since its inception in 2007. In 2011, this strategy has been accelerated to develop innovative visualization solutions through increased funding and strategic partnerships with other research institutions. We present the key eleme... |
2408.00181 | Shreyank N Gowda | Shreyank N Gowda, David A. Clifton | CC-SAM: SAM with Cross-feature Attention and Context for Ultrasound
Image Segmentation | Accepted to ECCV 2024 | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | The Segment Anything Model (SAM) has achieved remarkable successes in the
realm of natural image segmentation, but its deployment in the medical imaging
sphere has encountered challenges. Specifically, the model struggles with
medical images that feature low contrast, faint boundaries, intricate
morphologies, and sma... | [
{
"created": "Wed, 31 Jul 2024 22:24:05 GMT",
"version": "v1"
}
] | 2024-08-02 | [
[
"Gowda",
"Shreyank N",
""
],
[
"Clifton",
"David A.",
""
]
] | The Segment Anything Model (SAM) has achieved remarkable successes in the realm of natural image segmentation, but its deployment in the medical imaging sphere has encountered challenges. Specifically, the model struggles with medical images that feature low contrast, faint boundaries, intricate morphologies, and small... |
2311.04895 | Toghrul Karimov | Val\'erie Berth\'e, Toghrul Karimov, Jo\"el Ouaknine, Mihir Vahanwala,
James Worrell | The Monadic Theory of Toric Words | null | null | null | null | cs.LO | http://creativecommons.org/licenses/by/4.0/ | For which unary predicates $P_1, \ldots, P_m$ is the MSO theory of the
structure $\langle \mathbb{N}; <, P_1, \ldots, P_m \rangle$ decidable? We
survey the state of the art, leading us to investigate combinatorial properties
of almost-periodic, morphic, and toric words. In doing so, we show that if each
$P_i$ can be ... | [
{
"created": "Wed, 8 Nov 2023 18:55:33 GMT",
"version": "v1"
},
{
"created": "Fri, 15 Dec 2023 09:12:53 GMT",
"version": "v2"
}
] | 2023-12-18 | [
[
"Berthé",
"Valérie",
""
],
[
"Karimov",
"Toghrul",
""
],
[
"Ouaknine",
"Joël",
""
],
[
"Vahanwala",
"Mihir",
""
],
[
"Worrell",
"James",
""
]
] | For which unary predicates $P_1, \ldots, P_m$ is the MSO theory of the structure $\langle \mathbb{N}; <, P_1, \ldots, P_m \rangle$ decidable? We survey the state of the art, leading us to investigate combinatorial properties of almost-periodic, morphic, and toric words. In doing so, we show that if each $P_i$ can be ge... |
2402.18045 | Eunsu Kim | Sheikh Shafayat, Eunsu Kim, Juhyun Oh, Alice Oh | Multi-FAct: Assessing Multilingual LLMs' Multi-Regional Knowledge using
FActScore | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Large Language Models (LLMs) are prone to factuality hallucination,
generating text that contradicts established knowledge. While extensive
research has addressed this in English, little is known about multilingual
LLMs. This paper systematically evaluates multilingual LLMs' factual accuracy
across languages and geog... | [
{
"created": "Wed, 28 Feb 2024 04:43:46 GMT",
"version": "v1"
},
{
"created": "Fri, 1 Mar 2024 12:35:55 GMT",
"version": "v2"
}
] | 2024-03-04 | [
[
"Shafayat",
"Sheikh",
""
],
[
"Kim",
"Eunsu",
""
],
[
"Oh",
"Juhyun",
""
],
[
"Oh",
"Alice",
""
]
] | Large Language Models (LLMs) are prone to factuality hallucination, generating text that contradicts established knowledge. While extensive research has addressed this in English, little is known about multilingual LLMs. This paper systematically evaluates multilingual LLMs' factual accuracy across languages and geogra... |
2003.01595 | Harrison Rosenberg | Yue Gao, Harrison Rosenberg, Kassem Fawaz, Somesh Jha, Justin Hsu | Analyzing Accuracy Loss in Randomized Smoothing Defenses | 19 pages, 6 figures, 2 tables | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent advances in machine learning (ML) algorithms, especially deep neural
networks (DNNs), have demonstrated remarkable success (sometimes exceeding
human-level performance) on several tasks, including face and speech
recognition. However, ML algorithms are vulnerable to \emph{adversarial
attacks}, such test-time, ... | [
{
"created": "Tue, 3 Mar 2020 15:27:53 GMT",
"version": "v1"
}
] | 2020-03-04 | [
[
"Gao",
"Yue",
""
],
[
"Rosenberg",
"Harrison",
""
],
[
"Fawaz",
"Kassem",
""
],
[
"Jha",
"Somesh",
""
],
[
"Hsu",
"Justin",
""
]
] | Recent advances in machine learning (ML) algorithms, especially deep neural networks (DNNs), have demonstrated remarkable success (sometimes exceeding human-level performance) on several tasks, including face and speech recognition. However, ML algorithms are vulnerable to \emph{adversarial attacks}, such test-time, tr... |
2406.06514 | Yahya Sattar | Kimia Kazemian, Yahya Sattar, Sarah Dean | Random Features Approximation for Control-Affine Systems | 25 pages, 3 figures | null | null | null | cs.LG cs.SY eess.SY math.OC stat.ML | http://creativecommons.org/licenses/by/4.0/ | Modern data-driven control applications call for flexible nonlinear models
that are amenable to principled controller synthesis and realtime feedback.
Many nonlinear dynamical systems of interest are control affine. We propose two
novel classes of nonlinear feature representations which capture control affine
structu... | [
{
"created": "Mon, 10 Jun 2024 17:54:57 GMT",
"version": "v1"
},
{
"created": "Tue, 11 Jun 2024 02:32:16 GMT",
"version": "v2"
}
] | 2024-06-12 | [
[
"Kazemian",
"Kimia",
""
],
[
"Sattar",
"Yahya",
""
],
[
"Dean",
"Sarah",
""
]
] | Modern data-driven control applications call for flexible nonlinear models that are amenable to principled controller synthesis and realtime feedback. Many nonlinear dynamical systems of interest are control affine. We propose two novel classes of nonlinear feature representations which capture control affine structure... |
1112.2071 | Ferihane Kboubi | Anja Habacha Chabi, Ferihane Kboubi, Mohamed Ben Ahmed | Thematic Analysis and Visualization of Textual Corpus | 16 pages,9 figures | International Journal of Computer Science & Engineering Survey
(IJCSES), November 2011, Volume 2 Number 4, ISSN : 0976-2760 (Online)
0976-3252 (Print) go | null | null | cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The semantic analysis of documents is a domain of intense research at
present. The works in this domain can take several directions and touch several
levels of granularity. In the present work we are exactly interested in the
thematic analysis of the textual documents. In our approach, we suggest
studying the variati... | [
{
"created": "Fri, 9 Dec 2011 11:04:32 GMT",
"version": "v1"
}
] | 2011-12-12 | [
[
"Chabi",
"Anja Habacha",
""
],
[
"Kboubi",
"Ferihane",
""
],
[
"Ahmed",
"Mohamed Ben",
""
]
] | The semantic analysis of documents is a domain of intense research at present. The works in this domain can take several directions and touch several levels of granularity. In the present work we are exactly interested in the thematic analysis of the textual documents. In our approach, we suggest studying the variation... |
2403.01226 | Junwen Xiong | Junwen Xiong, Peng Zhang, Tao You, Chuanyue Li, Wei Huang, Yufei Zha | DiffSal: Joint Audio and Video Learning for Diffusion Saliency
Prediction | 15 pages, CVPR24 | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Audio-visual saliency prediction can draw support from diverse modality
complements, but further performance enhancement is still challenged by
customized architectures as well as task-specific loss functions. In recent
studies, denoising diffusion models have shown more promising in unifying task
frameworks owing to... | [
{
"created": "Sat, 2 Mar 2024 14:52:58 GMT",
"version": "v1"
}
] | 2024-03-05 | [
[
"Xiong",
"Junwen",
""
],
[
"Zhang",
"Peng",
""
],
[
"You",
"Tao",
""
],
[
"Li",
"Chuanyue",
""
],
[
"Huang",
"Wei",
""
],
[
"Zha",
"Yufei",
""
]
] | Audio-visual saliency prediction can draw support from diverse modality complements, but further performance enhancement is still challenged by customized architectures as well as task-specific loss functions. In recent studies, denoising diffusion models have shown more promising in unifying task frameworks owing to t... |
2201.06993 | Alessio Carpegna | Alessio Carpegna, Alessandro Savino, Stefano Di Carlo | Spiker: an FPGA-optimized Hardware acceleration for Spiking Neural
Networks | 6 pages, 3 figures, 4 tables | null | 10.1109/ISVLSI54635.2022.00016 | null | cs.NE cs.AI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Spiking Neural Networks (SNN) are an emerging type of biologically plausible
and efficient Artificial Neural Network (ANN). This work presents the
development of a hardware accelerator for a SNN for high-performance inference,
targeting a Xilinx Artix-7 Field Programmable Gate Array (FPGA). The model used
inside the ... | [
{
"created": "Tue, 18 Jan 2022 13:59:22 GMT",
"version": "v1"
},
{
"created": "Tue, 12 Apr 2022 13:36:22 GMT",
"version": "v2"
},
{
"created": "Thu, 26 May 2022 14:38:38 GMT",
"version": "v3"
}
] | 2022-12-20 | [
[
"Carpegna",
"Alessio",
""
],
[
"Savino",
"Alessandro",
""
],
[
"Di Carlo",
"Stefano",
""
]
] | Spiking Neural Networks (SNN) are an emerging type of biologically plausible and efficient Artificial Neural Network (ANN). This work presents the development of a hardware accelerator for a SNN for high-performance inference, targeting a Xilinx Artix-7 Field Programmable Gate Array (FPGA). The model used inside the ne... |
2211.15790 | Scott Workman | Scott Workman, Armin Hadzic, M. Usman Rafique | Handling Image and Label Resolution Mismatch in Remote Sensing | IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
2023 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Though semantic segmentation has been heavily explored in vision literature,
unique challenges remain in the remote sensing domain. One such challenge is
how to handle resolution mismatch between overhead imagery and ground-truth
label sources, due to differences in ground sample distance. To illustrate this
problem,... | [
{
"created": "Mon, 28 Nov 2022 21:56:07 GMT",
"version": "v1"
}
] | 2022-11-30 | [
[
"Workman",
"Scott",
""
],
[
"Hadzic",
"Armin",
""
],
[
"Rafique",
"M. Usman",
""
]
] | Though semantic segmentation has been heavily explored in vision literature, unique challenges remain in the remote sensing domain. One such challenge is how to handle resolution mismatch between overhead imagery and ground-truth label sources, due to differences in ground sample distance. To illustrate this problem, w... |
1803.10743 | Taco Cohen | Taco S. Cohen and Mario Geiger and Maurice Weiler | Intertwiners between Induced Representations (with Applications to the
Theory of Equivariant Neural Networks) | null | null | null | null | cs.LG cs.CV stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Group equivariant and steerable convolutional neural networks (regular and
steerable G-CNNs) have recently emerged as a very effective model class for
learning from signal data such as 2D and 3D images, video, and other data where
symmetries are present. In geometrical terms, regular G-CNNs represent data in
terms of... | [
{
"created": "Wed, 28 Mar 2018 17:30:26 GMT",
"version": "v1"
},
{
"created": "Fri, 30 Mar 2018 09:27:16 GMT",
"version": "v2"
}
] | 2018-04-02 | [
[
"Cohen",
"Taco S.",
""
],
[
"Geiger",
"Mario",
""
],
[
"Weiler",
"Maurice",
""
]
] | Group equivariant and steerable convolutional neural networks (regular and steerable G-CNNs) have recently emerged as a very effective model class for learning from signal data such as 2D and 3D images, video, and other data where symmetries are present. In geometrical terms, regular G-CNNs represent data in terms of s... |
2312.14196 | Ellen Considine | Ellen M. Considine, Rachel C. Nethery, Gregory A. Wellenius, Francesca
Dominici, Mauricio Tec | Optimizing Heat Alert Issuance with Reinforcement Learning | Main text has 21 pages with 3 tables and 7 figures | null | null | null | cs.LG stat.AP | http://creativecommons.org/licenses/by-nc-sa/4.0/ | A key strategy in societal adaptation to climate change is the use of alert
systems to reduce the adverse health impacts of extreme heat events by
prompting preventative action. In this work, we investigate reinforcement
learning (RL) as a tool to optimize the effectiveness of such systems. Our
contributions are thre... | [
{
"created": "Thu, 21 Dec 2023 00:50:21 GMT",
"version": "v1"
},
{
"created": "Sun, 10 Mar 2024 20:37:47 GMT",
"version": "v2"
}
] | 2024-03-12 | [
[
"Considine",
"Ellen M.",
""
],
[
"Nethery",
"Rachel C.",
""
],
[
"Wellenius",
"Gregory A.",
""
],
[
"Dominici",
"Francesca",
""
],
[
"Tec",
"Mauricio",
""
]
] | A key strategy in societal adaptation to climate change is the use of alert systems to reduce the adverse health impacts of extreme heat events by prompting preventative action. In this work, we investigate reinforcement learning (RL) as a tool to optimize the effectiveness of such systems. Our contributions are threef... |
1902.04363 | Antoine Durand | Antoine Durand, Elyes Ben-Hamida, David Leporini, G\'erard Memmi | Asymptotic Performance Analysis of Blockchain Protocols | 16 pages, 2 figures | null | null | null | cs.CR cs.DC | http://creativecommons.org/licenses/by/4.0/ | In the light of the recent fame of Blockchain technologies, numerous
proposals and projects aiming at better practical viability have emerged.
However, formally assessing their particularities and benefits has proven to be
a difficult task. The aim of this work is to compare the fundamental
differences of such protoc... | [
{
"created": "Tue, 12 Feb 2019 12:51:53 GMT",
"version": "v1"
},
{
"created": "Tue, 11 Jun 2019 21:18:05 GMT",
"version": "v2"
}
] | 2019-06-13 | [
[
"Durand",
"Antoine",
""
],
[
"Ben-Hamida",
"Elyes",
""
],
[
"Leporini",
"David",
""
],
[
"Memmi",
"Gérard",
""
]
] | In the light of the recent fame of Blockchain technologies, numerous proposals and projects aiming at better practical viability have emerged. However, formally assessing their particularities and benefits has proven to be a difficult task. The aim of this work is to compare the fundamental differences of such protocol... |
2208.14001 | Hao Wang | Hao Wang, Yangguang Li, Zhen Huang, Yong Dou | IMCI: Integrate Multi-view Contextual Information for Fact Extraction
and Verification | Accepted by COLING 2022 | null | null | null | cs.CL | http://creativecommons.org/licenses/by-sa/4.0/ | With the rapid development of automatic fake news detection technology, fact
extraction and verification (FEVER) has been attracting more attention. The
task aims to extract the most related fact evidences from millions of
open-domain Wikipedia documents and then verify the credibility of
corresponding claims. Althou... | [
{
"created": "Tue, 30 Aug 2022 05:57:34 GMT",
"version": "v1"
}
] | 2022-08-31 | [
[
"Wang",
"Hao",
""
],
[
"Li",
"Yangguang",
""
],
[
"Huang",
"Zhen",
""
],
[
"Dou",
"Yong",
""
]
] | With the rapid development of automatic fake news detection technology, fact extraction and verification (FEVER) has been attracting more attention. The task aims to extract the most related fact evidences from millions of open-domain Wikipedia documents and then verify the credibility of corresponding claims. Although... |
2111.05333 | Hamza Ali Imran | Hamza Ali Imran, Saad Wazir, Usman Iftikhar, Usama Latif | Classifying Human Activities with Inertial Sensors: A Machine Learning
Approach | null | null | null | null | cs.HC cs.LG eess.SP | http://creativecommons.org/licenses/by/4.0/ | Human Activity Recognition (HAR) is an ongoing research topic. It has
applications in medical support, sports, fitness, social networking,
human-computer interfaces, senior care, entertainment, surveillance, and the
list goes on. Traditionally, computer vision methods were employed for HAR,
which has numerous problem... | [
{
"created": "Tue, 9 Nov 2021 08:17:33 GMT",
"version": "v1"
}
] | 2021-11-11 | [
[
"Imran",
"Hamza Ali",
""
],
[
"Wazir",
"Saad",
""
],
[
"Iftikhar",
"Usman",
""
],
[
"Latif",
"Usama",
""
]
] | Human Activity Recognition (HAR) is an ongoing research topic. It has applications in medical support, sports, fitness, social networking, human-computer interfaces, senior care, entertainment, surveillance, and the list goes on. Traditionally, computer vision methods were employed for HAR, which has numerous problems ... |
2211.02091 | Linyi Li | Bhaskar Ray Chaudhury, Linyi Li, Mintong Kang, Bo Li, Ruta Mehta | Fairness in Federated Learning via Core-Stability | NeurIPS 2022; code:
https://openreview.net/attachment?id=lKULHf7oFDo&name=supplementary_material | null | null | null | cs.LG cs.GT | http://creativecommons.org/licenses/by/4.0/ | Federated learning provides an effective paradigm to jointly optimize a model
benefited from rich distributed data while protecting data privacy.
Nonetheless, the heterogeneity nature of distributed data makes it challenging
to define and ensure fairness among local agents. For instance, it is
intuitively "unfair" fo... | [
{
"created": "Thu, 3 Nov 2022 18:41:11 GMT",
"version": "v1"
}
] | 2022-11-07 | [
[
"Chaudhury",
"Bhaskar Ray",
""
],
[
"Li",
"Linyi",
""
],
[
"Kang",
"Mintong",
""
],
[
"Li",
"Bo",
""
],
[
"Mehta",
"Ruta",
""
]
] | Federated learning provides an effective paradigm to jointly optimize a model benefited from rich distributed data while protecting data privacy. Nonetheless, the heterogeneity nature of distributed data makes it challenging to define and ensure fairness among local agents. For instance, it is intuitively "unfair" for ... |
2404.13558 | Haoyu Zheng | Haoyu Zheng, Wenqiao Zhang, Yaoke Wang, Hao Zhou, Jiang Liu, Juncheng
Li, Zheqi Lv, Siliang Tang, Yueting Zhuang | LASER: Tuning-Free LLM-Driven Attention Control for Efficient
Text-conditioned Image-to-Animation | 10 pages, 7 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Revolutionary advancements in text-to-image models have unlocked new
dimensions for sophisticated content creation, e.g., text-conditioned image
editing, allowing us to edit the diverse images that convey highly complex
visual concepts according to the textual guidance. Despite being promising,
existing methods focus... | [
{
"created": "Sun, 21 Apr 2024 07:13:56 GMT",
"version": "v1"
},
{
"created": "Tue, 23 Apr 2024 07:17:03 GMT",
"version": "v2"
}
] | 2024-04-24 | [
[
"Zheng",
"Haoyu",
""
],
[
"Zhang",
"Wenqiao",
""
],
[
"Wang",
"Yaoke",
""
],
[
"Zhou",
"Hao",
""
],
[
"Liu",
"Jiang",
""
],
[
"Li",
"Juncheng",
""
],
[
"Lv",
"Zheqi",
""
],
[
"Tang",
"Siliang",
... | Revolutionary advancements in text-to-image models have unlocked new dimensions for sophisticated content creation, e.g., text-conditioned image editing, allowing us to edit the diverse images that convey highly complex visual concepts according to the textual guidance. Despite being promising, existing methods focus o... |
2403.19649 | Hui Zhang | Hui Zhang, Sammy Christen, Zicong Fan, Otmar Hilliges, Jie Song | GraspXL: Generating Grasping Motions for Diverse Objects at Scale | Camera ready for ECCV2024. Project Page:
https://eth-ait.github.io/graspxl/ | null | null | null | cs.RO cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Human hands possess the dexterity to interact with diverse objects such as
grasping specific parts of the objects and/or approaching them from desired
directions. More importantly, humans can grasp objects of any shape without
object-specific skills. Recent works synthesize grasping motions following
single objective... | [
{
"created": "Thu, 28 Mar 2024 17:57:27 GMT",
"version": "v1"
},
{
"created": "Fri, 12 Jul 2024 17:48:07 GMT",
"version": "v2"
}
] | 2024-07-15 | [
[
"Zhang",
"Hui",
""
],
[
"Christen",
"Sammy",
""
],
[
"Fan",
"Zicong",
""
],
[
"Hilliges",
"Otmar",
""
],
[
"Song",
"Jie",
""
]
] | Human hands possess the dexterity to interact with diverse objects such as grasping specific parts of the objects and/or approaching them from desired directions. More importantly, humans can grasp objects of any shape without object-specific skills. Recent works synthesize grasping motions following single objectives ... |
2402.18558 | Benjamin Evans | Benjamin David Evans, Raphael Trumpp, Marco Caccamo, Felix Jahncke,
Johannes Betz, Hendrik Willem Jordaan, Herman Arnold Engelbrecht | Unifying F1TENTH Autonomous Racing: Survey, Methods and Benchmarks | 12 pages, 18 figures. Sumbitted for publication | null | null | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | The F1TENTH autonomous driving platform, consisting of 1:10-scale
remote-controlled cars, has evolved into a well-established education and
research platform. The many publications and real-world competitions span many
domains, from classical path planning to novel learning-based algorithms.
Consequently, the field i... | [
{
"created": "Wed, 28 Feb 2024 18:42:46 GMT",
"version": "v1"
},
{
"created": "Thu, 25 Apr 2024 13:58:48 GMT",
"version": "v2"
}
] | 2024-04-26 | [
[
"Evans",
"Benjamin David",
""
],
[
"Trumpp",
"Raphael",
""
],
[
"Caccamo",
"Marco",
""
],
[
"Jahncke",
"Felix",
""
],
[
"Betz",
"Johannes",
""
],
[
"Jordaan",
"Hendrik Willem",
""
],
[
"Engelbrecht",
"Herman Ar... | The F1TENTH autonomous driving platform, consisting of 1:10-scale remote-controlled cars, has evolved into a well-established education and research platform. The many publications and real-world competitions span many domains, from classical path planning to novel learning-based algorithms. Consequently, the field is ... |
2206.11723 | Alexander Bauer | Alexander Bauer, Shinichi Nakajima, Klaus-Robert M\"uller | Self-Supervised Training with Autoencoders for Visual Anomaly Detection | null | null | null | null | cs.CV cs.LG | http://creativecommons.org/licenses/by/4.0/ | We focus on a specific use case in anomaly detection where the distribution
of normal samples is supported by a lower-dimensional manifold. Here,
regularized autoencoders provide a popular approach by learning the identity
mapping on the set of normal examples, while trying to prevent good
reconstruction on points ou... | [
{
"created": "Thu, 23 Jun 2022 14:16:30 GMT",
"version": "v1"
},
{
"created": "Tue, 28 Jun 2022 10:56:48 GMT",
"version": "v2"
},
{
"created": "Wed, 14 Jun 2023 23:33:53 GMT",
"version": "v3"
},
{
"created": "Thu, 24 Aug 2023 11:35:01 GMT",
"version": "v4"
},
{
"c... | 2024-05-14 | [
[
"Bauer",
"Alexander",
""
],
[
"Nakajima",
"Shinichi",
""
],
[
"Müller",
"Klaus-Robert",
""
]
] | We focus on a specific use case in anomaly detection where the distribution of normal samples is supported by a lower-dimensional manifold. Here, regularized autoencoders provide a popular approach by learning the identity mapping on the set of normal examples, while trying to prevent good reconstruction on points outs... |
2304.08134 | Martin Knoche | Martin Knoche and Gerhard Rigoll | Tackling Face Verification Edge Cases: In-Depth Analysis and
Human-Machine Fusion Approach | null | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Nowadays, face recognition systems surpass human performance on several
datasets. However, there are still edge cases that the machine can't correctly
classify. This paper investigates the effect of a combination of machine and
human operators in the face verification task. First, we look closer at the
edge cases for... | [
{
"created": "Mon, 17 Apr 2023 10:29:26 GMT",
"version": "v1"
},
{
"created": "Tue, 18 Apr 2023 08:55:37 GMT",
"version": "v2"
},
{
"created": "Tue, 8 Aug 2023 12:57:36 GMT",
"version": "v3"
},
{
"created": "Thu, 24 Aug 2023 08:31:31 GMT",
"version": "v4"
}
] | 2023-08-25 | [
[
"Knoche",
"Martin",
""
],
[
"Rigoll",
"Gerhard",
""
]
] | Nowadays, face recognition systems surpass human performance on several datasets. However, there are still edge cases that the machine can't correctly classify. This paper investigates the effect of a combination of machine and human operators in the face verification task. First, we look closer at the edge cases for s... |
2112.09323 | Shinnosuke Takamichi | Shinnosuke Takamichi, Ludwig K\"urzinger, Takaaki Saeki, Sayaka
Shiota, Shinji Watanabe | JTubeSpeech: corpus of Japanese speech collected from YouTube for speech
recognition and speaker verification | Submitted to ICASSP2022 | null | null | null | cs.SD eess.AS | http://creativecommons.org/licenses/by-sa/4.0/ | In this paper, we construct a new Japanese speech corpus called
"JTubeSpeech." Although recent end-to-end learning requires large-size speech
corpora, open-sourced such corpora for languages other than English have not
yet been established. In this paper, we describe the construction of a corpus
from YouTube videos a... | [
{
"created": "Fri, 17 Dec 2021 05:09:44 GMT",
"version": "v1"
}
] | 2021-12-20 | [
[
"Takamichi",
"Shinnosuke",
""
],
[
"Kürzinger",
"Ludwig",
""
],
[
"Saeki",
"Takaaki",
""
],
[
"Shiota",
"Sayaka",
""
],
[
"Watanabe",
"Shinji",
""
]
] | In this paper, we construct a new Japanese speech corpus called "JTubeSpeech." Although recent end-to-end learning requires large-size speech corpora, open-sourced such corpora for languages other than English have not yet been established. In this paper, we describe the construction of a corpus from YouTube videos and... |
2201.05972 | Shuangjie Xu | Shuangjie Xu, Rui Wan, Maosheng Ye, Xiaoyi Zou, Tongyi Cao | Sparse Cross-scale Attention Network for Efficient LiDAR Panoptic
Segmentation | Accepted by the Thirty-Sixth AAAI Conference on Artificial
Intelligence (AAAI-22) | null | null | null | cs.CV cs.AI cs.RO | http://creativecommons.org/licenses/by/4.0/ | Two major challenges of 3D LiDAR Panoptic Segmentation (PS) are that point
clouds of an object are surface-aggregated and thus hard to model the
long-range dependency especially for large instances, and that objects are too
close to separate each other. Recent literature addresses these problems by
time-consuming gro... | [
{
"created": "Sun, 16 Jan 2022 05:34:54 GMT",
"version": "v1"
}
] | 2022-01-19 | [
[
"Xu",
"Shuangjie",
""
],
[
"Wan",
"Rui",
""
],
[
"Ye",
"Maosheng",
""
],
[
"Zou",
"Xiaoyi",
""
],
[
"Cao",
"Tongyi",
""
]
] | Two major challenges of 3D LiDAR Panoptic Segmentation (PS) are that point clouds of an object are surface-aggregated and thus hard to model the long-range dependency especially for large instances, and that objects are too close to separate each other. Recent literature addresses these problems by time-consuming group... |
2110.02204 | Yi Zhou | Yi Zhou and Danushka Bollegala | Learning Sense-Specific Static Embeddings using Contextualised Word
Embeddings as a Proxy | Accepted to PACLIC 35 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Contextualised word embeddings generated from Neural Language Models (NLMs),
such as BERT, represent a word with a vector that considers the semantics of
the target word as well its context. On the other hand, static word embeddings
such as GloVe represent words by relatively low-dimensional, memory- and
compute-effi... | [
{
"created": "Tue, 5 Oct 2021 17:50:48 GMT",
"version": "v1"
},
{
"created": "Wed, 6 Oct 2021 10:30:37 GMT",
"version": "v2"
}
] | 2021-10-07 | [
[
"Zhou",
"Yi",
""
],
[
"Bollegala",
"Danushka",
""
]
] | Contextualised word embeddings generated from Neural Language Models (NLMs), such as BERT, represent a word with a vector that considers the semantics of the target word as well its context. On the other hand, static word embeddings such as GloVe represent words by relatively low-dimensional, memory- and compute-effici... |
1709.04093 | Seyed Hamid Rezatofighi | S. Hamid Rezatofighi, Anton Milan, Qinfeng Shi, Anthony Dick, Ian Reid | Joint Learning of Set Cardinality and State Distribution | Accepted in AAAI 2018. arXiv admin note: text overlap with
arXiv:1611.08998 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a novel approach for learning to predict sets using deep learning.
In recent years, deep neural networks have shown remarkable results in computer
vision, natural language processing and other related problems. Despite their
success, traditional architectures suffer from a serious limitation in that
they a... | [
{
"created": "Wed, 13 Sep 2017 00:33:50 GMT",
"version": "v1"
},
{
"created": "Tue, 21 Nov 2017 02:29:33 GMT",
"version": "v2"
}
] | 2017-11-23 | [
[
"Rezatofighi",
"S. Hamid",
""
],
[
"Milan",
"Anton",
""
],
[
"Shi",
"Qinfeng",
""
],
[
"Dick",
"Anthony",
""
],
[
"Reid",
"Ian",
""
]
] | We present a novel approach for learning to predict sets using deep learning. In recent years, deep neural networks have shown remarkable results in computer vision, natural language processing and other related problems. Despite their success, traditional architectures suffer from a serious limitation in that they are... |
2206.13933 | Mikael Lassen | Benjamin Lundquist Thomsen, Jesper B. Christensen, Olga Rodenko,
Iskander Usenov, Rasmus Birkholm Gr{\o}nnemose, Thomas Emil Andersen, and
Mikael Lassen | Accurate and fast identification of minimally prepared bacteria
phenotypes using Raman spectroscopy assisted by machine learning | 14 pages, 5 figures | null | null | null | cs.LG physics.data-an physics.optics | http://creativecommons.org/publicdomain/zero/1.0/ | The worldwide increase of antimicrobial resistance (AMR) is a serious threat
to human health. To avert the spread of AMR, fast reliable diagnostics tools
that facilitate optimal antibiotic stewardship are an unmet need. In this
regard, Raman spectroscopy promises rapid label- and culture-free
identification and antim... | [
{
"created": "Mon, 27 Jun 2022 14:27:05 GMT",
"version": "v1"
}
] | 2022-06-29 | [
[
"Thomsen",
"Benjamin Lundquist",
""
],
[
"Christensen",
"Jesper B.",
""
],
[
"Rodenko",
"Olga",
""
],
[
"Usenov",
"Iskander",
""
],
[
"Grønnemose",
"Rasmus Birkholm",
""
],
[
"Andersen",
"Thomas Emil",
""
],
[
"Las... | The worldwide increase of antimicrobial resistance (AMR) is a serious threat to human health. To avert the spread of AMR, fast reliable diagnostics tools that facilitate optimal antibiotic stewardship are an unmet need. In this regard, Raman spectroscopy promises rapid label- and culture-free identification and antimic... |
2102.12980 | Ali Shafti | Ali Shafti and A. Aldo Faisal | Non-invasive Cognitive-level Human Interfacing for the Robotic
Restoration of Reaching & Grasping | Manuscript accepted at IEEE EMBS Neural Engineering 2021 Conference | null | null | null | cs.RO cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Assistive and Wearable Robotics have the potential to support humans with
different types of motor impairments to become independent and fulfil their
activities of daily living successfully. The success of these robot systems,
however, relies on the ability to meaningfully decode human action intentions
and carry the... | [
{
"created": "Thu, 25 Feb 2021 16:32:04 GMT",
"version": "v1"
}
] | 2021-02-26 | [
[
"Shafti",
"Ali",
""
],
[
"Faisal",
"A. Aldo",
""
]
] | Assistive and Wearable Robotics have the potential to support humans with different types of motor impairments to become independent and fulfil their activities of daily living successfully. The success of these robot systems, however, relies on the ability to meaningfully decode human action intentions and carry them ... |
2405.15739 | Andres Algaba | Andres Algaba, Carmen Mazijn, Vincent Holst, Floriano Tori, Sylvia
Wenmackers, Vincent Ginis | Large Language Models Reflect Human Citation Patterns with a Heightened
Citation Bias | 28 pages, 11 figures | null | null | null | cs.DL cs.AI cs.LG cs.SI | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Citation practices are crucial in shaping the structure of scientific
knowledge, yet they are often influenced by contemporary norms and biases. The
emergence of Large Language Models (LLMs) like GPT-4 introduces a new dynamic
to these practices. Interestingly, the characteristics and potential biases of
references r... | [
{
"created": "Fri, 24 May 2024 17:34:32 GMT",
"version": "v1"
},
{
"created": "Wed, 29 May 2024 12:50:49 GMT",
"version": "v2"
}
] | 2024-05-30 | [
[
"Algaba",
"Andres",
""
],
[
"Mazijn",
"Carmen",
""
],
[
"Holst",
"Vincent",
""
],
[
"Tori",
"Floriano",
""
],
[
"Wenmackers",
"Sylvia",
""
],
[
"Ginis",
"Vincent",
""
]
] | Citation practices are crucial in shaping the structure of scientific knowledge, yet they are often influenced by contemporary norms and biases. The emergence of Large Language Models (LLMs) like GPT-4 introduces a new dynamic to these practices. Interestingly, the characteristics and potential biases of references rec... |
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