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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2004.13354 | Jinwoo Ahn | Jinwoo Ahn, Seungjin Lee, Jinhoon Lee, Yungwoo Ko, Donghyun Min,
Junghee Lee, Youngjae Kim | SGX-SSD: A Policy-based Versioning SSD with Intel SGX | 7 pages, 4 figures | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper demonstrates that SSDs, which perform device-level versioning, can
be exposed to data tampering attacks when the retention time of data is less
than the malware's dwell time. To deal with that threat, we propose SGX-SSD, a
SGX-based versioning SSD which selectively preserves file history based on the
given... | [
{
"created": "Tue, 28 Apr 2020 08:11:30 GMT",
"version": "v1"
},
{
"created": "Wed, 29 Apr 2020 01:03:18 GMT",
"version": "v2"
}
] | 2020-04-30 | [
[
"Ahn",
"Jinwoo",
""
],
[
"Lee",
"Seungjin",
""
],
[
"Lee",
"Jinhoon",
""
],
[
"Ko",
"Yungwoo",
""
],
[
"Min",
"Donghyun",
""
],
[
"Lee",
"Junghee",
""
],
[
"Kim",
"Youngjae",
""
]
] | This paper demonstrates that SSDs, which perform device-level versioning, can be exposed to data tampering attacks when the retention time of data is less than the malware's dwell time. To deal with that threat, we propose SGX-SSD, a SGX-based versioning SSD which selectively preserves file history based on the given p... |
1804.06454 | Marco Baldi | Mohammad H. Tadayon, Alireza Tasdighi, Massimo Battaglioni, Marco
Baldi, Franco Chiaraluce | Efficient Search of Compact QC-LDPC and SC-LDPC Convolutional Codes with
Large Girth | 4 pages, 3 figures, 1 table, accepted for publication in IEEE
Communications Letters | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a low-complexity method to find quasi-cyclic low-density
parity-check block codes with girth 10 or 12 and shorter length than those
designed through classical approaches. The method is extended to time-invariant
spatially coupled low-density parity-check convolutional codes, permitting to
achieve small syn... | [
{
"created": "Tue, 17 Apr 2018 19:47:42 GMT",
"version": "v1"
}
] | 2018-04-19 | [
[
"Tadayon",
"Mohammad H.",
""
],
[
"Tasdighi",
"Alireza",
""
],
[
"Battaglioni",
"Massimo",
""
],
[
"Baldi",
"Marco",
""
],
[
"Chiaraluce",
"Franco",
""
]
] | We propose a low-complexity method to find quasi-cyclic low-density parity-check block codes with girth 10 or 12 and shorter length than those designed through classical approaches. The method is extended to time-invariant spatially coupled low-density parity-check convolutional codes, permitting to achieve small syndr... |
1710.09876 | Samin Aref | Samin Aref, Andrew J. Mason, Mark C. Wilson | Computing the Line Index of Balance Using Integer Programming
Optimisation | Accepted author copy, 20 pages, 4 tables and 3 figures. This work is
followed up in another study with more focus on Operations Research aspects
of the topic that can be found in arXiv:1611.09030 | null | null | null | cs.SI math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | An important measure of signed graphs is the line index of balance which has
several applications in many fields. However, this graph-theoretic measure was
underused for decades because of the inherent complexity in its computation
which is closely related to solving NP-hard graph optimisation problems like
MAXCUT. W... | [
{
"created": "Thu, 26 Oct 2017 19:09:57 GMT",
"version": "v1"
},
{
"created": "Tue, 6 Feb 2018 00:34:19 GMT",
"version": "v2"
},
{
"created": "Wed, 7 Feb 2018 05:19:46 GMT",
"version": "v3"
}
] | 2018-02-08 | [
[
"Aref",
"Samin",
""
],
[
"Mason",
"Andrew J.",
""
],
[
"Wilson",
"Mark C.",
""
]
] | An important measure of signed graphs is the line index of balance which has several applications in many fields. However, this graph-theoretic measure was underused for decades because of the inherent complexity in its computation which is closely related to solving NP-hard graph optimisation problems like MAXCUT. We ... |
1903.00951 | Babak Alipour | Babak Alipour, Leonardo Tonetto, Roozbeh Ketabi, Aaron Yi Ding, J\"org
Ott, Ahmed Helmy | Practical Prediction of Human Movements Across Device Types and
Spatiotemporal Granularities | null | null | null | null | cs.NI | http://creativecommons.org/licenses/by/4.0/ | Understanding and predicting mobility are essential for the design and
evaluation of future mobile edge caching and networking. Consequently, research
on prediction of human mobility has drawn significant attention in the last
decade. Employing information-theoretic concepts and machine learning methods,
earlier rese... | [
{
"created": "Sun, 3 Mar 2019 17:46:27 GMT",
"version": "v1"
}
] | 2019-03-05 | [
[
"Alipour",
"Babak",
""
],
[
"Tonetto",
"Leonardo",
""
],
[
"Ketabi",
"Roozbeh",
""
],
[
"Ding",
"Aaron Yi",
""
],
[
"Ott",
"Jörg",
""
],
[
"Helmy",
"Ahmed",
""
]
] | Understanding and predicting mobility are essential for the design and evaluation of future mobile edge caching and networking. Consequently, research on prediction of human mobility has drawn significant attention in the last decade. Employing information-theoretic concepts and machine learning methods, earlier resear... |
2109.00895 | Yushan Zhu | Yushan Zhu, Huaixiao Tou, Wen Zhang, Ganqiang Ye, Hui Chen, Ningyu
Zhang and Huajun Chen | Knowledge Perceived Multi-modal Pretraining in E-commerce | Accepted to ACM MM 2021 | null | 10.1145/3474085.3475648 | null | cs.CV cs.AI cs.CL | http://creativecommons.org/licenses/by/4.0/ | In this paper, we address multi-modal pretraining of product data in the
field of E-commerce. Current multi-modal pretraining methods proposed for image
and text modalities lack robustness in the face of modality-missing and
modality-noise, which are two pervasive problems of multi-modal product data in
real E-commer... | [
{
"created": "Fri, 20 Aug 2021 08:01:28 GMT",
"version": "v1"
}
] | 2021-09-03 | [
[
"Zhu",
"Yushan",
""
],
[
"Tou",
"Huaixiao",
""
],
[
"Zhang",
"Wen",
""
],
[
"Ye",
"Ganqiang",
""
],
[
"Chen",
"Hui",
""
],
[
"Zhang",
"Ningyu",
""
],
[
"Chen",
"Huajun",
""
]
] | In this paper, we address multi-modal pretraining of product data in the field of E-commerce. Current multi-modal pretraining methods proposed for image and text modalities lack robustness in the face of modality-missing and modality-noise, which are two pervasive problems of multi-modal product data in real E-commerce... |
1605.02041 | David Guillermo Fajardo Ortiz | David Fajardo-Ortiz, Luis Duran, Laura Moreno, Hector Ochoa, Victor-M
Castano | Mapping knowledge translation and innovation processes in Cancer Drug
Development: the case of liposomal doxorubicin | null | Journal of Translational Medicine 2014, 12:227 | 10.1186/s12967-014-0227-9 | null | cs.DL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We explored how the knowledge translation and innovation processes are
structured when they result in innovations, as in the case of liposomal
doxorubicin research. In order to map the processes, a literature network
analysis was made through Cytoscape and semantic analysis was performed by
GOPubmed which is based in... | [
{
"created": "Tue, 12 Apr 2016 05:55:21 GMT",
"version": "v1"
}
] | 2016-05-09 | [
[
"Fajardo-Ortiz",
"David",
""
],
[
"Duran",
"Luis",
""
],
[
"Moreno",
"Laura",
""
],
[
"Ochoa",
"Hector",
""
],
[
"Castano",
"Victor-M",
""
]
] | We explored how the knowledge translation and innovation processes are structured when they result in innovations, as in the case of liposomal doxorubicin research. In order to map the processes, a literature network analysis was made through Cytoscape and semantic analysis was performed by GOPubmed which is based in t... |
2108.11887 | Lei Lei | Jiaju Qi, Qihao Zhou, Lei Lei, Kan Zheng | Federated Reinforcement Learning: Techniques, Applications, and Open
Challenges | null | Intelligence & Robotics. 2021; 1(1):18-57 | 10.20517/ir.2021.02 | null | cs.LG cs.AI | http://creativecommons.org/licenses/by/4.0/ | This paper presents a comprehensive survey of Federated Reinforcement
Learning (FRL), an emerging and promising field in Reinforcement Learning (RL).
Starting with a tutorial of Federated Learning (FL) and RL, we then focus on
the introduction of FRL as a new method with great potential by leveraging the
basic idea o... | [
{
"created": "Thu, 26 Aug 2021 16:22:49 GMT",
"version": "v1"
},
{
"created": "Sun, 24 Oct 2021 19:02:03 GMT",
"version": "v2"
}
] | 2023-05-12 | [
[
"Qi",
"Jiaju",
""
],
[
"Zhou",
"Qihao",
""
],
[
"Lei",
"Lei",
""
],
[
"Zheng",
"Kan",
""
]
] | This paper presents a comprehensive survey of Federated Reinforcement Learning (FRL), an emerging and promising field in Reinforcement Learning (RL). Starting with a tutorial of Federated Learning (FL) and RL, we then focus on the introduction of FRL as a new method with great potential by leveraging the basic idea of ... |
2303.05946 | Kyle Hart | Kyle M. Hart (1 and 2), Brendan Englot (2), Ryan P. O'Shea (1), John
D. Kelly (1), David Martinez (1) ((1) Naval Air Warfare Center Aircraft
Division Lakehurst, (2) Stevens Institute of Technology) | Monocular Simultaneous Localization and Mapping using Ground Textures | 7 pages, 9 figures. To appear at ICRA 2023, London, UK. Distribution
Statement A: Approved for public release; distribution is unlimited, as
submitted under NAVAIR Public Release Authorization 2022-0586. The views
expressed here are those of the authors and do not reflect the official
policy or position of the ... | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent work has shown impressive localization performance using only images
of ground textures taken with a downward facing monocular camera. This provides
a reliable navigation method that is robust to feature sparse environments and
challenging lighting conditions. However, these localization methods require an
exi... | [
{
"created": "Fri, 10 Mar 2023 14:27:31 GMT",
"version": "v1"
}
] | 2023-03-13 | [
[
"Hart",
"Kyle M.",
"",
"1 and 2"
],
[
"Englot",
"Brendan",
""
],
[
"O'Shea",
"Ryan P.",
""
],
[
"Kelly",
"John D.",
""
],
[
"Martinez",
"David",
""
]
] | Recent work has shown impressive localization performance using only images of ground textures taken with a downward facing monocular camera. This provides a reliable navigation method that is robust to feature sparse environments and challenging lighting conditions. However, these localization methods require an exist... |
1405.1129 | Vikram Krishnamurthy | Vikram Krishnamurthy and Omid Namvar Gharehshiran and Maziyar Hamdi | Interactive Sensing and Decision Making in Social Networks | Foundations and Trends in Signal Processing, Now Publishers, 2014 | null | 10.1561/2000000048 | null | cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The proliferation of social media such as real time microblogging and online
reputation systems facilitate real time sensing of social patterns and
behavior. In the last decade, sensing and decision making in social networks
have witnessed significant progress in the electrical engineering, computer
science, economic... | [
{
"created": "Tue, 6 May 2014 02:21:24 GMT",
"version": "v1"
}
] | 2014-05-07 | [
[
"Krishnamurthy",
"Vikram",
""
],
[
"Gharehshiran",
"Omid Namvar",
""
],
[
"Hamdi",
"Maziyar",
""
]
] | The proliferation of social media such as real time microblogging and online reputation systems facilitate real time sensing of social patterns and behavior. In the last decade, sensing and decision making in social networks have witnessed significant progress in the electrical engineering, computer science, economics,... |
2404.09265 | Mindaugas Budzys | Tanveer Khan, Mindaugas Budzys, Antonis Michalas | Make Split, not Hijack: Preventing Feature-Space Hijacking Attacks in
Split Learning | Accepted In Proceedings of the 29th ACM Symposium on Access Control
Models and Technologies (SACMAT '24) | null | null | null | cs.CR cs.AI | http://creativecommons.org/licenses/by/4.0/ | The popularity of Machine Learning (ML) makes the privacy of sensitive data
more imperative than ever. Collaborative learning techniques like Split
Learning (SL) aim to protect client data while enhancing ML processes. Though
promising, SL has been proved to be vulnerable to a plethora of attacks, thus
raising concer... | [
{
"created": "Sun, 14 Apr 2024 14:14:31 GMT",
"version": "v1"
}
] | 2024-04-16 | [
[
"Khan",
"Tanveer",
""
],
[
"Budzys",
"Mindaugas",
""
],
[
"Michalas",
"Antonis",
""
]
] | The popularity of Machine Learning (ML) makes the privacy of sensitive data more imperative than ever. Collaborative learning techniques like Split Learning (SL) aim to protect client data while enhancing ML processes. Though promising, SL has been proved to be vulnerable to a plethora of attacks, thus raising concerns... |
2208.14925 | Tim Schreiter | Tim Schreiter, Tiago Rodrigues de Almeida, Yufei Zhu, Eduardo
Gutierrez Maestro, Lucas Morillo-Mendez, Andrey Rudenko, Tomasz P. Kucner,
Oscar Martinez Mozos, Martin Magnusson, Luigi Palmieri, Kai O. Arras, Achim
J. Lilienthal | The Magni Human Motion Dataset: Accurate, Complex, Multi-Modal, Natural,
Semantically-Rich and Contextualized | in SIRRW Workshop held in conjunction with 31st IEEE International
Conference on Robot & Human Interactive Communication, 29/08 - 02/09 2022,
Naples (Italy) | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Rapid development of social robots stimulates active research in human motion
modeling, interpretation and prediction, proactive collision avoidance,
human-robot interaction and co-habitation in shared spaces. Modern approaches
to this end require high quality datasets for training and evaluation. However,
the majori... | [
{
"created": "Wed, 31 Aug 2022 15:37:45 GMT",
"version": "v1"
}
] | 2022-09-01 | [
[
"Schreiter",
"Tim",
""
],
[
"de Almeida",
"Tiago Rodrigues",
""
],
[
"Zhu",
"Yufei",
""
],
[
"Maestro",
"Eduardo Gutierrez",
""
],
[
"Morillo-Mendez",
"Lucas",
""
],
[
"Rudenko",
"Andrey",
""
],
[
"Kucner",
"To... | Rapid development of social robots stimulates active research in human motion modeling, interpretation and prediction, proactive collision avoidance, human-robot interaction and co-habitation in shared spaces. Modern approaches to this end require high quality datasets for training and evaluation. However, the majority... |
2306.08935 | Ritu Yadav | Ritu Yadav, Andrea Nascetti, Yifang Ban | Context-Aware Change Detection With Semi-Supervised Learning | Paper Accepted in IGARSS 2023 | null | null | null | cs.CV cs.AI cs.LG eess.IV | http://creativecommons.org/licenses/by/4.0/ | Change detection using earth observation data plays a vital role in
quantifying the impact of disasters in affected areas. While data sources like
Sentinel-2 provide rich optical information, they are often hindered by cloud
cover, limiting their usage in disaster scenarios. However, leveraging
pre-disaster optical d... | [
{
"created": "Thu, 15 Jun 2023 08:17:49 GMT",
"version": "v1"
}
] | 2023-06-16 | [
[
"Yadav",
"Ritu",
""
],
[
"Nascetti",
"Andrea",
""
],
[
"Ban",
"Yifang",
""
]
] | Change detection using earth observation data plays a vital role in quantifying the impact of disasters in affected areas. While data sources like Sentinel-2 provide rich optical information, they are often hindered by cloud cover, limiting their usage in disaster scenarios. However, leveraging pre-disaster optical dat... |
2001.10494 | Feiyang Cai | Feiyang Cai and Xenofon Koutsoukos | Real-time Out-of-distribution Detection in Learning-Enabled
Cyber-Physical Systems | Accepted by 11th International Conference on Cyber-Physical Systems
(ICCPS2020) | null | null | null | cs.LG cs.SY eess.SY stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Cyber-physical systems (CPS) greatly benefit by using machine learning
components that can handle the uncertainty and variability of the real-world.
Typical components such as deep neural networks, however, introduce new types
of hazards that may impact system safety. The system behavior depends on data
that are avai... | [
{
"created": "Tue, 28 Jan 2020 17:51:07 GMT",
"version": "v1"
}
] | 2020-01-29 | [
[
"Cai",
"Feiyang",
""
],
[
"Koutsoukos",
"Xenofon",
""
]
] | Cyber-physical systems (CPS) greatly benefit by using machine learning components that can handle the uncertainty and variability of the real-world. Typical components such as deep neural networks, however, introduce new types of hazards that may impact system safety. The system behavior depends on data that are availa... |
2212.07811 | Mike Thelwall Prof | Mike Thelwall, Kayvan Kousha, Mahshid Abdoli, Emma Stuart, Meiko
Makita, Paul Wilson, Jonathan Levitt | Do altmetric scores reflect article quality? Evidence from the UK
Research Excellence Framework 2021 | null | Journal of the Association for Information Science and Technology,
74(5), 582-593 (2023) | 10.1108/10.1002/asi.24751 | null | cs.DL | http://creativecommons.org/licenses/by/4.0/ | Altmetrics are web-based quantitative impact or attention indicators for
academic articles that have been proposed to supplement citation counts. This
article reports the first assessment of the extent to which mature altmetrics
from Altmetric.com and Mendeley associate with journal article quality. It
exploits exper... | [
{
"created": "Sun, 11 Dec 2022 05:40:35 GMT",
"version": "v1"
}
] | 2023-08-01 | [
[
"Thelwall",
"Mike",
""
],
[
"Kousha",
"Kayvan",
""
],
[
"Abdoli",
"Mahshid",
""
],
[
"Stuart",
"Emma",
""
],
[
"Makita",
"Meiko",
""
],
[
"Wilson",
"Paul",
""
],
[
"Levitt",
"Jonathan",
""
]
] | Altmetrics are web-based quantitative impact or attention indicators for academic articles that have been proposed to supplement citation counts. This article reports the first assessment of the extent to which mature altmetrics from Altmetric.com and Mendeley associate with journal article quality. It exploits expert ... |
1710.11213 | Sahil Singla | Soheil Ehsani, MohammadTaghi Hajiaghayi, Thomas Kesselheim, and Sahil
Singla | Prophet Secretary for Combinatorial Auctions and Matroids | Preliminary version appeared in SODA 2018. This version improves the
writeup on Fixed-Threshold algorithms | null | null | null | cs.DS cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The secretary and the prophet inequality problems are central to the field of
Stopping Theory. Recently, there has been a lot of work in generalizing these
models to multiple items because of their applications in mechanism design. The
most important of these generalizations are to matroids and to combinatorial
aucti... | [
{
"created": "Mon, 30 Oct 2017 19:41:38 GMT",
"version": "v1"
},
{
"created": "Sat, 17 Mar 2018 17:13:41 GMT",
"version": "v2"
}
] | 2018-03-20 | [
[
"Ehsani",
"Soheil",
""
],
[
"Hajiaghayi",
"MohammadTaghi",
""
],
[
"Kesselheim",
"Thomas",
""
],
[
"Singla",
"Sahil",
""
]
] | The secretary and the prophet inequality problems are central to the field of Stopping Theory. Recently, there has been a lot of work in generalizing these models to multiple items because of their applications in mechanism design. The most important of these generalizations are to matroids and to combinatorial auction... |
2304.02841 | Zhijie Deng | Zhijie Deng and Yucen Luo | Learning Neural Eigenfunctions for Unsupervised Semantic Segmentation | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Unsupervised semantic segmentation is a long-standing challenge in computer
vision with great significance. Spectral clustering is a theoretically grounded
solution to it where the spectral embeddings for pixels are computed to
construct distinct clusters. Despite recent progress in enhancing spectral
clustering with... | [
{
"created": "Thu, 6 Apr 2023 03:14:15 GMT",
"version": "v1"
}
] | 2023-04-07 | [
[
"Deng",
"Zhijie",
""
],
[
"Luo",
"Yucen",
""
]
] | Unsupervised semantic segmentation is a long-standing challenge in computer vision with great significance. Spectral clustering is a theoretically grounded solution to it where the spectral embeddings for pixels are computed to construct distinct clusters. Despite recent progress in enhancing spectral clustering with p... |
2108.06812 | Nikolai Karpov | Nikolai Karpov, Qin Zhang | Batched Thompson Sampling for Multi-Armed Bandits | 9 pages | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | We study Thompson Sampling algorithms for stochastic multi-armed bandits in
the batched setting, in which we want to minimize the regret over a sequence of
arm pulls using a small number of policy changes (or, batches). We propose two
algorithms and demonstrate their effectiveness by experiments on both synthetic
and... | [
{
"created": "Sun, 15 Aug 2021 20:47:46 GMT",
"version": "v1"
}
] | 2021-08-17 | [
[
"Karpov",
"Nikolai",
""
],
[
"Zhang",
"Qin",
""
]
] | We study Thompson Sampling algorithms for stochastic multi-armed bandits in the batched setting, in which we want to minimize the regret over a sequence of arm pulls using a small number of policy changes (or, batches). We propose two algorithms and demonstrate their effectiveness by experiments on both synthetic and r... |
2104.13456 | Adrian {\L}a\'ncucki | Pawe{\l} Rychlikowski, Bart{\l}omiej Najdecki, Adrian {\L}a\'ncucki,
Adam Kaczmarek | Named Entity Recognition and Linking Augmented with Large-Scale
Structured Data | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we describe our submissions to the 2nd and 3rd SlavNER Shared
Tasks held at BSNLP 2019 and BSNLP 2021, respectively. The tasks focused on the
analysis of Named Entities in multilingual Web documents in Slavic languages
with rich inflection. Our solution takes advantage of large collections of both
unstr... | [
{
"created": "Tue, 27 Apr 2021 20:10:18 GMT",
"version": "v1"
}
] | 2021-04-29 | [
[
"Rychlikowski",
"Paweł",
""
],
[
"Najdecki",
"Bartłomiej",
""
],
[
"Łańcucki",
"Adrian",
""
],
[
"Kaczmarek",
"Adam",
""
]
] | In this paper we describe our submissions to the 2nd and 3rd SlavNER Shared Tasks held at BSNLP 2019 and BSNLP 2021, respectively. The tasks focused on the analysis of Named Entities in multilingual Web documents in Slavic languages with rich inflection. Our solution takes advantage of large collections of both unstruc... |
2205.06910 | Kanishka Misra | Kanishka Misra, Julia Taylor Rayz, Allyson Ettinger | A Property Induction Framework for Neural Language Models | CogSci 2022 camera ready version, with hyperref-compatible citations.
Code and Supplemental Material can be found in
https://github.com/kanishkamisra/lm-induction | null | null | null | cs.CL | http://creativecommons.org/licenses/by-nc-sa/4.0/ | To what extent can experience from language contribute to our conceptual
knowledge? Computational explorations of this question have shed light on the
ability of powerful neural language models (LMs) -- informed solely through
text input -- to encode and elicit information about concepts and properties.
To extend thi... | [
{
"created": "Fri, 13 May 2022 22:05:49 GMT",
"version": "v1"
}
] | 2022-05-17 | [
[
"Misra",
"Kanishka",
""
],
[
"Rayz",
"Julia Taylor",
""
],
[
"Ettinger",
"Allyson",
""
]
] | To what extent can experience from language contribute to our conceptual knowledge? Computational explorations of this question have shed light on the ability of powerful neural language models (LMs) -- informed solely through text input -- to encode and elicit information about concepts and properties. To extend this ... |
0904.0352 | Rami Puzis | Shlomi Dolev, Yuval Elovici, Rami Puzis, Polina Zilberman | Incremental Deployment of Network Monitors Based on Group Betweenness
Centrality | null | Information Processing Letters, 109(20), 1172-1176 (2009) | 10.1016/j.ipl.2009.07.019 | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In many applications we are required to increase the deployment of a
distributed monitoring system on an evolving network. In this paper we present
a new method for finding candidate locations for additional deployment in the
network. This method is based on the Group Betweenness Centrality (GBC) measure
that is used... | [
{
"created": "Thu, 2 Apr 2009 09:32:51 GMT",
"version": "v1"
},
{
"created": "Sun, 12 Jul 2009 10:01:36 GMT",
"version": "v2"
},
{
"created": "Fri, 2 Oct 2020 13:32:31 GMT",
"version": "v3"
}
] | 2020-10-05 | [
[
"Dolev",
"Shlomi",
""
],
[
"Elovici",
"Yuval",
""
],
[
"Puzis",
"Rami",
""
],
[
"Zilberman",
"Polina",
""
]
] | In many applications we are required to increase the deployment of a distributed monitoring system on an evolving network. In this paper we present a new method for finding candidate locations for additional deployment in the network. This method is based on the Group Betweenness Centrality (GBC) measure that is used t... |
2306.02500 | Taylor Webb | Taylor W. Webb, Shanka Subhra Mondal, Jonathan D. Cohen | Systematic Visual Reasoning through Object-Centric Relational
Abstraction | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Human visual reasoning is characterized by an ability to identify abstract
patterns from only a small number of examples, and to systematically generalize
those patterns to novel inputs. This capacity depends in large part on our
ability to represent complex visual inputs in terms of both objects and
relations. Recen... | [
{
"created": "Sun, 4 Jun 2023 22:47:17 GMT",
"version": "v1"
},
{
"created": "Fri, 10 Nov 2023 22:22:44 GMT",
"version": "v2"
}
] | 2023-11-14 | [
[
"Webb",
"Taylor W.",
""
],
[
"Mondal",
"Shanka Subhra",
""
],
[
"Cohen",
"Jonathan D.",
""
]
] | Human visual reasoning is characterized by an ability to identify abstract patterns from only a small number of examples, and to systematically generalize those patterns to novel inputs. This capacity depends in large part on our ability to represent complex visual inputs in terms of both objects and relations. Recent ... |
1909.04954 | Philipp Mayr | Guillaume Cabanac, Ingo Frommholz, Philipp Mayr | Report on the 8th International Workshop on Bibliometric-enhanced
Information Retrieval (BIR 2019) | 8 pages, report to appear in ACM SIGIR Forum | null | null | null | cs.IR cs.DL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Bibliometric-enhanced Information Retrieval workshop series (BIR) at ECIR
tackled issues related to academic search, at the crossroads between
Information Retrieval and Bibliometrics. BIR is a hot topic investigated by
both academia (e.g., ArnetMiner, CiteSeerx, DocEar) and the industry (e.g.,
Google Scholar, Mic... | [
{
"created": "Wed, 11 Sep 2019 10:07:59 GMT",
"version": "v1"
}
] | 2019-09-12 | [
[
"Cabanac",
"Guillaume",
""
],
[
"Frommholz",
"Ingo",
""
],
[
"Mayr",
"Philipp",
""
]
] | The Bibliometric-enhanced Information Retrieval workshop series (BIR) at ECIR tackled issues related to academic search, at the crossroads between Information Retrieval and Bibliometrics. BIR is a hot topic investigated by both academia (e.g., ArnetMiner, CiteSeerx, DocEar) and the industry (e.g., Google Scholar, Micro... |
2204.02004 | Chaim Baskin | Tal Rozen, Moshe Kimhi, Brian Chmiel, Avi Mendelson, Chaim Baskin | Bimodal Distributed Binarized Neural Networks | null | null | null | null | cs.LG cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Binary Neural Networks (BNNs) are an extremely promising method to reduce
deep neural networks' complexity and power consumption massively. Binarization
techniques, however, suffer from ineligible performance degradation compared to
their full-precision counterparts.
Prior work mainly focused on strategies for sign... | [
{
"created": "Tue, 5 Apr 2022 06:07:05 GMT",
"version": "v1"
}
] | 2022-04-06 | [
[
"Rozen",
"Tal",
""
],
[
"Kimhi",
"Moshe",
""
],
[
"Chmiel",
"Brian",
""
],
[
"Mendelson",
"Avi",
""
],
[
"Baskin",
"Chaim",
""
]
] | Binary Neural Networks (BNNs) are an extremely promising method to reduce deep neural networks' complexity and power consumption massively. Binarization techniques, however, suffer from ineligible performance degradation compared to their full-precision counterparts. Prior work mainly focused on strategies for sign fun... |
2404.12703 | Marius Kurz | Daniel Kempf, Marius Kurz, Marcel Blind, Patrick Kopper, Philipp
Offenh\"auser, Anna Schwarz, Spencer Starr, Jens Keim, Andrea Beck | GAL{\AE}XI: Solving complex compressible flows with high-order
discontinuous Galerkin methods on accelerator-based systems | 19 pages, 12 figures, 3 tables. Code available at:
https://github.com/flexi-framework/galaexi | null | null | null | cs.MS cs.CE | http://creativecommons.org/licenses/by-nc-nd/4.0/ | This work presents GAL{\AE}XI as a novel, energy-efficient flow solver for
the simulation of compressible flows on unstructured meshes leveraging the
parallel computing power of modern Graphics Processing Units (GPUs). GAL{\AE}XI
implements the high-order Discontinuous Galerkin Spectral Element Method
(DGSEM) using s... | [
{
"created": "Fri, 19 Apr 2024 08:21:05 GMT",
"version": "v1"
}
] | 2024-04-22 | [
[
"Kempf",
"Daniel",
""
],
[
"Kurz",
"Marius",
""
],
[
"Blind",
"Marcel",
""
],
[
"Kopper",
"Patrick",
""
],
[
"Offenhäuser",
"Philipp",
""
],
[
"Schwarz",
"Anna",
""
],
[
"Starr",
"Spencer",
""
],
[
... | This work presents GAL{\AE}XI as a novel, energy-efficient flow solver for the simulation of compressible flows on unstructured meshes leveraging the parallel computing power of modern Graphics Processing Units (GPUs). GAL{\AE}XI implements the high-order Discontinuous Galerkin Spectral Element Method (DGSEM) using sho... |
1007.2449 | Kamran Karimi | Kamran Karimi | A Brief Introduction to Temporality and Causality | null | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Causality is a non-obvious concept that is often considered to be related to
temporality. In this paper we present a number of past and present approaches
to the definition of temporality and causality from philosophical, physical,
and computational points of view. We note that time is an important ingredient
in many... | [
{
"created": "Wed, 14 Jul 2010 22:41:30 GMT",
"version": "v1"
}
] | 2010-07-16 | [
[
"Karimi",
"Kamran",
""
]
] | Causality is a non-obvious concept that is often considered to be related to temporality. In this paper we present a number of past and present approaches to the definition of temporality and causality from philosophical, physical, and computational points of view. We note that time is an important ingredient in many r... |
2403.20195 | Victor Silva Dos Santos | Victor Silva dos Santos, Erwan Gloaguen, Shiva Tirdad | Enhancing Lithological Mapping with Spatially Constrained Bayesian
Network (SCB-Net): An Approach for Field Data-Constrained Predictions with
Uncertainty Evaluation | 17 pages, 3559 words, 14 figures | null | null | null | cs.CV cs.LG eess.IV | http://creativecommons.org/licenses/by/4.0/ | Geological maps are an extremely valuable source of information for the Earth
sciences. They provide insights into mineral exploration, vulnerability to
natural hazards, and many other applications. These maps are created using
numerical or conceptual models that use geological observations to extrapolate
data. Geost... | [
{
"created": "Fri, 29 Mar 2024 14:17:30 GMT",
"version": "v1"
}
] | 2024-04-01 | [
[
"Santos",
"Victor Silva dos",
""
],
[
"Gloaguen",
"Erwan",
""
],
[
"Tirdad",
"Shiva",
""
]
] | Geological maps are an extremely valuable source of information for the Earth sciences. They provide insights into mineral exploration, vulnerability to natural hazards, and many other applications. These maps are created using numerical or conceptual models that use geological observations to extrapolate data. Geostat... |
2006.03622 | Saman Motamed | Saman Motamed and Patrik Rogalla and Farzad Khalvati | Data Augmentation using Generative Adversarial Networks (GANs) for
GAN-based Detection of Pneumonia and COVID-19 in Chest X-ray Images | null | null | null | null | cs.CV cs.LG eess.IV q-bio.QM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Successful training of convolutional neural networks (CNNs) requires a
substantial amount of data. With small datasets networks generalize poorly.
Data Augmentation techniques improve the generalizability of neural networks by
using existing training data more effectively. Standard data augmentation
methods, however,... | [
{
"created": "Fri, 5 Jun 2020 18:30:20 GMT",
"version": "v1"
},
{
"created": "Tue, 12 Jan 2021 20:27:04 GMT",
"version": "v2"
}
] | 2021-01-14 | [
[
"Motamed",
"Saman",
""
],
[
"Rogalla",
"Patrik",
""
],
[
"Khalvati",
"Farzad",
""
]
] | Successful training of convolutional neural networks (CNNs) requires a substantial amount of data. With small datasets networks generalize poorly. Data Augmentation techniques improve the generalizability of neural networks by using existing training data more effectively. Standard data augmentation methods, however, p... |
2308.02950 | Louis Vervoort | Louis Vervoort, Vitaliy Mizyakov, Anastasia Ugleva | A criterion for Artificial General Intelligence: hypothetic-deductive
reasoning, tested on ChatGPT | null | null | null | null | cs.AI | http://creativecommons.org/licenses/by/4.0/ | We argue that a key reasoning skill that any advanced AI, say GPT-4, should
master in order to qualify as 'thinking machine', or AGI, is
hypothetic-deductive reasoning. Problem-solving or question-answering can quite
generally be construed as involving two steps: hypothesizing that a certain set
of hypotheses T appli... | [
{
"created": "Sat, 5 Aug 2023 20:33:13 GMT",
"version": "v1"
}
] | 2023-08-08 | [
[
"Vervoort",
"Louis",
""
],
[
"Mizyakov",
"Vitaliy",
""
],
[
"Ugleva",
"Anastasia",
""
]
] | We argue that a key reasoning skill that any advanced AI, say GPT-4, should master in order to qualify as 'thinking machine', or AGI, is hypothetic-deductive reasoning. Problem-solving or question-answering can quite generally be construed as involving two steps: hypothesizing that a certain set of hypotheses T applies... |
1812.10550 | Huy-Hieu Pham | Huy-Hieu Pham and Louahdi Khoudour and Alain Crouzil and Pablo Zegers
and Sergio A. Velastin | Learning to Recognize 3D Human Action from A New Skeleton-based
Representation Using Deep Convolutional Neural Networks | This paper is a preprint of a paper published to IET Computer Vision.
The copy of the record will be available at the IET Digital Library | null | 10.1049/iet-cvi.2018.5014 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recognizing human actions in untrimmed videos is an important challenging
task. An effective 3D motion representation and a powerful learning model are
two key factors influencing recognition performance. In this paper we introduce
a new skeleton-based representation for 3D action recognition in videos. The
key idea ... | [
{
"created": "Wed, 26 Dec 2018 21:47:08 GMT",
"version": "v1"
}
] | 2018-12-31 | [
[
"Pham",
"Huy-Hieu",
""
],
[
"Khoudour",
"Louahdi",
""
],
[
"Crouzil",
"Alain",
""
],
[
"Zegers",
"Pablo",
""
],
[
"Velastin",
"Sergio A.",
""
]
] | Recognizing human actions in untrimmed videos is an important challenging task. An effective 3D motion representation and a powerful learning model are two key factors influencing recognition performance. In this paper we introduce a new skeleton-based representation for 3D action recognition in videos. The key idea of... |
1602.08456 | Masaki Ogura Dr. | Masaki Ogura and Victor M. Preciado | Epidemic Processes over Adaptive State-Dependent Networks | null | Phys. Rev. E 93, 062316 (2016) | 10.1103/PhysRevE.93.062316 | null | cs.SI math.PR physics.soc-ph q-bio.PE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we study the dynamics of epidemic processes taking place in
adaptive networks of arbitrary topology. We focus our study on the adaptive
susceptible-infected-susceptible (ASIS) model, where healthy individuals are
allowed to temporarily cut edges connecting them to infected nodes in order to
prevent the... | [
{
"created": "Fri, 26 Feb 2016 19:56:41 GMT",
"version": "v1"
},
{
"created": "Thu, 9 Jun 2016 17:30:07 GMT",
"version": "v2"
}
] | 2016-06-29 | [
[
"Ogura",
"Masaki",
""
],
[
"Preciado",
"Victor M.",
""
]
] | In this paper, we study the dynamics of epidemic processes taking place in adaptive networks of arbitrary topology. We focus our study on the adaptive susceptible-infected-susceptible (ASIS) model, where healthy individuals are allowed to temporarily cut edges connecting them to infected nodes in order to prevent the s... |
1802.08984 | Kalev Alpernas | Kalev Alpernas (Tel Aviv University), Cormac Flanagan (UC Santa Cruz),
Sadjad Fouladi (Stanford University), Leonid Ryzhyk (VMware Research), Mooly
Sagiv (Tel Aviv University), Thomas Schmitz (UC Santa Cruz) and Keith
Winstein (Stanford University) | Secure Serverless Computing Using Dynamic Information Flow Control | null | null | null | null | cs.PL cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The rise of serverless computing provides an opportunity to rethink cloud
security. We present an approach for securing serverless systems using a novel
form of dynamic information flow control (IFC).
We show that in serverless applications, the termination channel found in
most existing IFC systems can be arbitrar... | [
{
"created": "Sun, 25 Feb 2018 10:36:56 GMT",
"version": "v1"
}
] | 2018-02-27 | [
[
"Alpernas",
"Kalev",
"",
"Tel Aviv University"
],
[
"Flanagan",
"Cormac",
"",
"UC Santa Cruz"
],
[
"Fouladi",
"Sadjad",
"",
"Stanford University"
],
[
"Ryzhyk",
"Leonid",
"",
"VMware Research"
],
[
"Sagiv",
"Mooly",
"",
... | The rise of serverless computing provides an opportunity to rethink cloud security. We present an approach for securing serverless systems using a novel form of dynamic information flow control (IFC). We show that in serverless applications, the termination channel found in most existing IFC systems can be arbitrarily ... |
0906.5233 | Toby Walsh | George Katsirelos, Sebastian Maneth, Nina Narodytska, Toby Walsh | Restricted Global Grammar Constraints | Proceedings of the 15th International Conference on Principles and
Practice of Constraint Programming, Lisbon, Portugal. September 2009 | null | null | null | cs.AI cs.FL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We investigate the global GRAMMAR constraint over restricted classes of
context free grammars like deterministic and unambiguous context-free grammars.
We show that detecting disentailment for the GRAMMAR constraint in these cases
is as hard as parsing an unrestricted context free grammar.We also consider the
class o... | [
{
"created": "Mon, 29 Jun 2009 09:23:39 GMT",
"version": "v1"
}
] | 2009-06-30 | [
[
"Katsirelos",
"George",
""
],
[
"Maneth",
"Sebastian",
""
],
[
"Narodytska",
"Nina",
""
],
[
"Walsh",
"Toby",
""
]
] | We investigate the global GRAMMAR constraint over restricted classes of context free grammars like deterministic and unambiguous context-free grammars. We show that detecting disentailment for the GRAMMAR constraint in these cases is as hard as parsing an unrestricted context free grammar.We also consider the class of ... |
1006.5188 | Nicola Di Mauro | Nicola Di Mauro and Teresa M.A. Basile and Stefano Ferilli and
Floriana Esposito | Feature Construction for Relational Sequence Learning | 15 pages | null | null | null | cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We tackle the problem of multi-class relational sequence learning using
relevant patterns discovered from a set of labelled sequences. To deal with
this problem, firstly each relational sequence is mapped into a feature vector
using the result of a feature construction method. Since, the efficacy of
sequence learning... | [
{
"created": "Sun, 27 Jun 2010 08:56:11 GMT",
"version": "v1"
}
] | 2010-06-29 | [
[
"Di Mauro",
"Nicola",
""
],
[
"Basile",
"Teresa M. A.",
""
],
[
"Ferilli",
"Stefano",
""
],
[
"Esposito",
"Floriana",
""
]
] | We tackle the problem of multi-class relational sequence learning using relevant patterns discovered from a set of labelled sequences. To deal with this problem, firstly each relational sequence is mapped into a feature vector using the result of a feature construction method. Since, the efficacy of sequence learning a... |
1905.10077 | Lixin Su | Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, and Xueqi Cheng | Controlling Risk of Web Question Answering | 42nd International ACM SIGIR Conference on Research and Development
in Information Retrieval | null | 10.1145/3331184.3331261 | null | cs.IR cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Web question answering (QA) has become an indispensable component in modern
search systems, which can significantly improve users' search experience by
providing a direct answer to users' information need. This could be achieved by
applying machine reading comprehension (MRC) models over the retrieved passages
to ext... | [
{
"created": "Fri, 24 May 2019 07:55:42 GMT",
"version": "v1"
},
{
"created": "Mon, 27 May 2019 02:24:32 GMT",
"version": "v2"
},
{
"created": "Thu, 11 Jul 2019 05:10:47 GMT",
"version": "v3"
}
] | 2019-07-12 | [
[
"Su",
"Lixin",
""
],
[
"Guo",
"Jiafeng",
""
],
[
"Fan",
"Yixing",
""
],
[
"Lan",
"Yanyan",
""
],
[
"Cheng",
"Xueqi",
""
]
] | Web question answering (QA) has become an indispensable component in modern search systems, which can significantly improve users' search experience by providing a direct answer to users' information need. This could be achieved by applying machine reading comprehension (MRC) models over the retrieved passages to extra... |
2209.07220 | Hyung-Il Kim | Hyung-Il Kim, Kimin Yun, Yong Man Ro | Face Shape-Guided Deep Feature Alignment for Face Recognition Robust to
Face Misalignment | 14 pages, 9 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | For the past decades, face recognition (FR) has been actively studied in
computer vision and pattern recognition society. Recently, due to the advances
in deep learning, the FR technology shows high performance for most of the
benchmark datasets. However, when the FR algorithm is applied to a real-world
scenario, the... | [
{
"created": "Thu, 15 Sep 2022 11:23:51 GMT",
"version": "v1"
}
] | 2022-09-16 | [
[
"Kim",
"Hyung-Il",
""
],
[
"Yun",
"Kimin",
""
],
[
"Ro",
"Yong Man",
""
]
] | For the past decades, face recognition (FR) has been actively studied in computer vision and pattern recognition society. Recently, due to the advances in deep learning, the FR technology shows high performance for most of the benchmark datasets. However, when the FR algorithm is applied to a real-world scenario, the p... |
2302.10441 | Zhuohang Li | Zhuohang Li, Jiaxin Zhang, Jian Liu | Speech Privacy Leakage from Shared Gradients in Distributed Learning | null | null | null | null | cs.LG cs.CR | http://creativecommons.org/licenses/by/4.0/ | Distributed machine learning paradigms, such as federated learning, have been
recently adopted in many privacy-critical applications for speech analysis.
However, such frameworks are vulnerable to privacy leakage attacks from shared
gradients. Despite extensive efforts in the image domain, the exploration of
speech p... | [
{
"created": "Tue, 21 Feb 2023 04:48:29 GMT",
"version": "v1"
}
] | 2023-02-22 | [
[
"Li",
"Zhuohang",
""
],
[
"Zhang",
"Jiaxin",
""
],
[
"Liu",
"Jian",
""
]
] | Distributed machine learning paradigms, such as federated learning, have been recently adopted in many privacy-critical applications for speech analysis. However, such frameworks are vulnerable to privacy leakage attacks from shared gradients. Despite extensive efforts in the image domain, the exploration of speech pri... |
2403.05732 | Nitsan Soffair | Nitsan Soffair, Shie Mannor | Conservative DDPG -- Pessimistic RL without Ensemble | Paper do not ready | null | null | null | cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | DDPG is hindered by the overestimation bias problem, wherein its
$Q$-estimates tend to overstate the actual $Q$-values. Traditional solutions to
this bias involve ensemble-based methods, which require significant
computational resources, or complex log-policy-based approaches, which are
difficult to understand and im... | [
{
"created": "Fri, 8 Mar 2024 23:59:38 GMT",
"version": "v1"
},
{
"created": "Sun, 2 Jun 2024 19:40:48 GMT",
"version": "v2"
}
] | 2024-06-04 | [
[
"Soffair",
"Nitsan",
""
],
[
"Mannor",
"Shie",
""
]
] | DDPG is hindered by the overestimation bias problem, wherein its $Q$-estimates tend to overstate the actual $Q$-values. Traditional solutions to this bias involve ensemble-based methods, which require significant computational resources, or complex log-policy-based approaches, which are difficult to understand and impl... |
2102.06930 | Kleanthis Avramidis | Kleanthis Avramidis, Agelos Kratimenos, Christos Garoufis, Athanasia
Zlatintsi and Petros Maragos | Deep Convolutional and Recurrent Networks for Polyphonic Instrument
Classification from Monophonic Raw Audio Waveforms | 5 pages, 4 figures, 6 tables, to be published in the Proc. of the
46th International Conference on Acoustics, Speech and Signal Processing
(ICASSP 2021) @ Toronto, Ontario, Canada | null | null | null | cs.SD cs.LG eess.AS | http://creativecommons.org/licenses/by/4.0/ | Sound Event Detection and Audio Classification tasks are traditionally
addressed through time-frequency representations of audio signals such as
spectrograms. However, the emergence of deep neural networks as efficient
feature extractors has enabled the direct use of audio signals for
classification purposes. In this... | [
{
"created": "Sat, 13 Feb 2021 13:44:46 GMT",
"version": "v1"
}
] | 2021-02-16 | [
[
"Avramidis",
"Kleanthis",
""
],
[
"Kratimenos",
"Agelos",
""
],
[
"Garoufis",
"Christos",
""
],
[
"Zlatintsi",
"Athanasia",
""
],
[
"Maragos",
"Petros",
""
]
] | Sound Event Detection and Audio Classification tasks are traditionally addressed through time-frequency representations of audio signals such as spectrograms. However, the emergence of deep neural networks as efficient feature extractors has enabled the direct use of audio signals for classification purposes. In this p... |
1711.09408 | Jonathan Zhu | Jonathan J. H. Zhu, Hexin Chen, Tai-Quan Peng, Xiao Fan Liu and
Haixing Dai | How to Measure Sessions of Mobile Device Use? Quantification,
Evaluation, and Applications | Preprint of forthcoming article in Mobile Media & Communication | null | null | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Research on mobile phone use often starts with a question of "How much time
users spend on using their phones?". The question involves an equal-length
measure that captures the duration of mobile phone use but does not tackle the
other temporal characteristics of user behavior, such as frequency, timing, and
sequence... | [
{
"created": "Sun, 26 Nov 2017 15:32:22 GMT",
"version": "v1"
}
] | 2017-11-28 | [
[
"Zhu",
"Jonathan J. H.",
""
],
[
"Chen",
"Hexin",
""
],
[
"Peng",
"Tai-Quan",
""
],
[
"Liu",
"Xiao Fan",
""
],
[
"Dai",
"Haixing",
""
]
] | Research on mobile phone use often starts with a question of "How much time users spend on using their phones?". The question involves an equal-length measure that captures the duration of mobile phone use but does not tackle the other temporal characteristics of user behavior, such as frequency, timing, and sequence. ... |
2110.09234 | Martha Barnard | Martha Barnard (1), Radhika Iyer (1 and 2), Sara Y. Del Valle (1),
Ashlynn R. Daughton (1) ((1) A-1 Information Systems and Modeling, Los Alamos
National Lab, Los Alamos, NM, USA, (2) Department of Political Science and
Department of Computing, Data Science, and Society, University of California,
Berkeley, Berk... | Impact of COVID-19 Policies and Misinformation on Social Unrest | 21 pages, 9 figures | null | null | LA-UR-21-29745 | cs.CY cs.LG stat.AP | http://creativecommons.org/licenses/by-nc-sa/4.0/ | The novel coronavirus disease (COVID-19) pandemic has impacted every corner
of earth, disrupting governments and leading to socioeconomic instability. This
crisis has prompted questions surrounding how different sectors of society
interact and influence each other during times of change and stress. Given the
unpreced... | [
{
"created": "Thu, 7 Oct 2021 16:05:10 GMT",
"version": "v1"
}
] | 2021-10-19 | [
[
"Barnard",
"Martha",
"",
"1 and 2"
],
[
"Iyer",
"Radhika",
"",
"1 and 2"
],
[
"Del Valle",
"Sara Y.",
""
],
[
"Daughton",
"Ashlynn R.",
""
]
] | The novel coronavirus disease (COVID-19) pandemic has impacted every corner of earth, disrupting governments and leading to socioeconomic instability. This crisis has prompted questions surrounding how different sectors of society interact and influence each other during times of change and stress. Given the unpreceden... |
2102.04317 | Shuquan Ye | Shuquan Ye, Dongdong Chen, Songfang Han, Ziyu Wan, Jing Liao | Meta-PU: An Arbitrary-Scale Upsampling Network for Point Cloud | To appear at TVCG | null | null | null | cs.GR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Point cloud upsampling is vital for the quality of the mesh in
three-dimensional reconstruction. Recent research on point cloud upsampling has
achieved great success due to the development of deep learning. However, the
existing methods regard point cloud upsampling of different scale factors as
independent tasks. Th... | [
{
"created": "Mon, 8 Feb 2021 16:21:48 GMT",
"version": "v1"
}
] | 2021-02-09 | [
[
"Ye",
"Shuquan",
""
],
[
"Chen",
"Dongdong",
""
],
[
"Han",
"Songfang",
""
],
[
"Wan",
"Ziyu",
""
],
[
"Liao",
"Jing",
""
]
] | Point cloud upsampling is vital for the quality of the mesh in three-dimensional reconstruction. Recent research on point cloud upsampling has achieved great success due to the development of deep learning. However, the existing methods regard point cloud upsampling of different scale factors as independent tasks. Thus... |
1607.04557 | Alfonso Cevallos | Alfonso Cevallos, Friedrich Eisenbrand, Rico Zenklusen | Local Search for Max-Sum Diversification | null | null | null | null | cs.DS cs.CG cs.DM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We provide simple and fast polynomial time approximation schemes (PTASs) for
several variants of the max-sum diversification problem which, in its most
basic form, is as follows: Given n points p_1,...,p_n in R^d and an integer k,
select k points such that the average Euclidean distance between these points
is maximi... | [
{
"created": "Fri, 15 Jul 2016 15:38:02 GMT",
"version": "v1"
}
] | 2016-07-18 | [
[
"Cevallos",
"Alfonso",
""
],
[
"Eisenbrand",
"Friedrich",
""
],
[
"Zenklusen",
"Rico",
""
]
] | We provide simple and fast polynomial time approximation schemes (PTASs) for several variants of the max-sum diversification problem which, in its most basic form, is as follows: Given n points p_1,...,p_n in R^d and an integer k, select k points such that the average Euclidean distance between these points is maximize... |
1706.06322 | Mohamd Sultan | Mohamad T. Sultan and Salim M. Zaki | Evaluation of energy consumption of reactive and proactive routing
protocols in MANET | null | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Mobile Ad hoc Network (MANET) is a distributed, infrastructure-less and
decentralized network. A routing protocol in MANET is used to find routes
between mobile nodes to facilitate communication within the network. Numerous
routing protocols have been proposed for MANET. Those routing protocols are
designed to adapti... | [
{
"created": "Tue, 20 Jun 2017 08:56:12 GMT",
"version": "v1"
}
] | 2017-06-21 | [
[
"Sultan",
"Mohamad T.",
""
],
[
"Zaki",
"Salim M.",
""
]
] | Mobile Ad hoc Network (MANET) is a distributed, infrastructure-less and decentralized network. A routing protocol in MANET is used to find routes between mobile nodes to facilitate communication within the network. Numerous routing protocols have been proposed for MANET. Those routing protocols are designed to adaptive... |
1606.05839 | EPTCS | Olivier Danvy (University of Aarhus), Ugo de'Liguoro (Universit\`a di
Torino) | Proceedings of the Workshop on Continuations | null | EPTCS 212, 2016 | 10.4204/EPTCS.212 | null | cs.PL cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The notion of continuation is ubiquitous in many different areas of computer
science, including systems programming, programming languages, algorithmics,
semantics, logic, and constructive mathematics. In fact the concept of
continuation nicely realizes sophisticated control mechanisms, which are widely
used in a var... | [
{
"created": "Sun, 19 Jun 2016 07:25:03 GMT",
"version": "v1"
}
] | 2016-06-21 | [
[
"Danvy",
"Olivier",
"",
"University of Aarhus"
],
[
"de'Liguoro",
"Ugo",
"",
"Università di\n Torino"
]
] | The notion of continuation is ubiquitous in many different areas of computer science, including systems programming, programming languages, algorithmics, semantics, logic, and constructive mathematics. In fact the concept of continuation nicely realizes sophisticated control mechanisms, which are widely used in a varie... |
2001.00784 | Dong Liu | Dong Liu, Chengjian Sun, Chenyang Yang, Lajos Hanzo | Optimizing Wireless Systems Using Unsupervised and
Reinforced-Unsupervised Deep Learning | To appear in IEEE Network Magazine | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Resource allocation and transceivers in wireless networks are usually
designed by solving optimization problems subject to specific constraints,
which can be formulated as variable or functional optimization. If the
objective and constraint functions of a variable optimization problem can be
derived, standard numeric... | [
{
"created": "Fri, 3 Jan 2020 11:01:52 GMT",
"version": "v1"
}
] | 2020-01-06 | [
[
"Liu",
"Dong",
""
],
[
"Sun",
"Chengjian",
""
],
[
"Yang",
"Chenyang",
""
],
[
"Hanzo",
"Lajos",
""
]
] | Resource allocation and transceivers in wireless networks are usually designed by solving optimization problems subject to specific constraints, which can be formulated as variable or functional optimization. If the objective and constraint functions of a variable optimization problem can be derived, standard numerical... |
2105.06807 | Ruoxi Chen | Jinyin Chen, Ruoxi Chen, Haibin Zheng, Zhaoyan Ming, Wenrong Jiang and
Chen Cui | Salient Feature Extractor for Adversarial Defense on Deep Neural
Networks | null | null | null | null | cs.CV cs.AI cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent years have witnessed unprecedented success achieved by deep learning
models in the field of computer vision. However, their vulnerability towards
carefully crafted adversarial examples has also attracted the increasing
attention of researchers. Motivated by the observation that adversarial
examples are due to ... | [
{
"created": "Fri, 14 May 2021 12:56:06 GMT",
"version": "v1"
}
] | 2021-05-17 | [
[
"Chen",
"Jinyin",
""
],
[
"Chen",
"Ruoxi",
""
],
[
"Zheng",
"Haibin",
""
],
[
"Ming",
"Zhaoyan",
""
],
[
"Jiang",
"Wenrong",
""
],
[
"Cui",
"Chen",
""
]
] | Recent years have witnessed unprecedented success achieved by deep learning models in the field of computer vision. However, their vulnerability towards carefully crafted adversarial examples has also attracted the increasing attention of researchers. Motivated by the observation that adversarial examples are due to th... |
1407.1429 | Mohammad Nassiry | Mohammad Nassiry, Muriati Mukhtar | Business types classification via e-commerce stage model in oil industry
in Iran | null | null | null | null | cs.OH | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Since the strategies and plans for e-commerce development are different for
different industries and since the oil industry is one of the most important
industries in Iran, the scope of this research is thus confined to that of the
oil industry in Iran. The main aim of this study is to identify and classify
the diffe... | [
{
"created": "Sat, 5 Jul 2014 19:33:10 GMT",
"version": "v1"
}
] | 2014-07-08 | [
[
"Nassiry",
"Mohammad",
""
],
[
"Mukhtar",
"Muriati",
""
]
] | Since the strategies and plans for e-commerce development are different for different industries and since the oil industry is one of the most important industries in Iran, the scope of this research is thus confined to that of the oil industry in Iran. The main aim of this study is to identify and classify the differe... |
1701.03305 | Masahito Hayashi | Ryo Yaguchi and Masahito Hayashi | Finite-Length Bounds for Joint Source-Channel Coding with Markovian
Source and Additive Channel Noise to Achieve Large and Moderate Deviation
Bounds | This paper and arXiv:1701.03290 address joint source-channel coding
with markovian source. While arXiv:1701.03290 discusses the second order
analysis, this paper discusses finite-length bounds as well as large and
moderate deviation bounds. Hence, there is no overlap between these two
papers | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We derive novel upper and lower finite-length bounds of the error probability
in joint source-channel coding when the source obeys an ergodic Markov process
and the channel is a Markovian additive channel or a Markovian conditional
additive channel. These bounds are tight in the large and moderate deviation
regimes.
| [
{
"created": "Thu, 12 Jan 2017 11:09:57 GMT",
"version": "v1"
},
{
"created": "Tue, 2 May 2017 03:39:26 GMT",
"version": "v2"
}
] | 2017-05-03 | [
[
"Yaguchi",
"Ryo",
""
],
[
"Hayashi",
"Masahito",
""
]
] | We derive novel upper and lower finite-length bounds of the error probability in joint source-channel coding when the source obeys an ergodic Markov process and the channel is a Markovian additive channel or a Markovian conditional additive channel. These bounds are tight in the large and moderate deviation regimes. |
2402.11724 | Jianling Wang | Jianling Wang, Haokai Lu, James Caverlee, Ed Chi and Minmin Chen | Large Language Models as Data Augmenters for Cold-Start Item
Recommendation | null | null | null | null | cs.IR | http://creativecommons.org/licenses/by/4.0/ | The reasoning and generalization capabilities of LLMs can help us better
understand user preferences and item characteristics, offering exciting
prospects to enhance recommendation systems. Though effective while user-item
interactions are abundant, conventional recommendation systems struggle to
recommend cold-start... | [
{
"created": "Sun, 18 Feb 2024 22:29:04 GMT",
"version": "v1"
}
] | 2024-02-20 | [
[
"Wang",
"Jianling",
""
],
[
"Lu",
"Haokai",
""
],
[
"Caverlee",
"James",
""
],
[
"Chi",
"Ed",
""
],
[
"Chen",
"Minmin",
""
]
] | The reasoning and generalization capabilities of LLMs can help us better understand user preferences and item characteristics, offering exciting prospects to enhance recommendation systems. Though effective while user-item interactions are abundant, conventional recommendation systems struggle to recommend cold-start i... |
1904.09763 | Seungjun Jung | Seungjun Jung, Muhammad Abul Hasan and Changick Kim | Water-Filling: An Efficient Algorithm for Digitized Document Shadow
Removal | Accepted at Asian Conference on Computer Vision (2018) | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we propose a novel algorithm to rectify illumination of the
digitized documents by eliminating shading artifacts. Firstly, a topographic
surface of an input digitized document is created using luminance value of each
pixel. Then the shading artifact on the document is estimated by simulating an
immersi... | [
{
"created": "Mon, 22 Apr 2019 08:01:27 GMT",
"version": "v1"
},
{
"created": "Thu, 2 May 2019 18:44:59 GMT",
"version": "v2"
}
] | 2019-05-06 | [
[
"Jung",
"Seungjun",
""
],
[
"Hasan",
"Muhammad Abul",
""
],
[
"Kim",
"Changick",
""
]
] | In this paper, we propose a novel algorithm to rectify illumination of the digitized documents by eliminating shading artifacts. Firstly, a topographic surface of an input digitized document is created using luminance value of each pixel. Then the shading artifact on the document is estimated by simulating an immersion... |
1605.07515 | Michael Roth | Michael Roth, Mirella Lapata | Neural Semantic Role Labeling with Dependency Path Embeddings | Camera-ready ACL paper | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper introduces a novel model for semantic role labeling that makes use
of neural sequence modeling techniques. Our approach is motivated by the
observation that complex syntactic structures and related phenomena, such as
nested subordinations and nominal predicates, are not handled well by existing
models. Our... | [
{
"created": "Tue, 24 May 2016 15:54:48 GMT",
"version": "v1"
},
{
"created": "Mon, 18 Jul 2016 09:08:51 GMT",
"version": "v2"
}
] | 2016-07-19 | [
[
"Roth",
"Michael",
""
],
[
"Lapata",
"Mirella",
""
]
] | This paper introduces a novel model for semantic role labeling that makes use of neural sequence modeling techniques. Our approach is motivated by the observation that complex syntactic structures and related phenomena, such as nested subordinations and nominal predicates, are not handled well by existing models. Our m... |
1707.00513 | Chao Zhang | Chao Zhang, Vineeth Varma, Samson Lasaulce, Raphael Visoz | Interference Coordination via Power Domain Channel Estimation | null | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A novel technique is proposed which enables each transmitter to acquire
global channel state information (CSI) from the sole knowledge of individual
received signal power measurements, which makes dedicated feedback or
inter-transmitter signaling channels unnecessary. To make this possible, we
resort to a completely ... | [
{
"created": "Wed, 14 Jun 2017 08:04:12 GMT",
"version": "v1"
}
] | 2017-07-04 | [
[
"Zhang",
"Chao",
""
],
[
"Varma",
"Vineeth",
""
],
[
"Lasaulce",
"Samson",
""
],
[
"Visoz",
"Raphael",
""
]
] | A novel technique is proposed which enables each transmitter to acquire global channel state information (CSI) from the sole knowledge of individual received signal power measurements, which makes dedicated feedback or inter-transmitter signaling channels unnecessary. To make this possible, we resort to a completely ne... |
2306.01310 | Jaeseung Heo | Jaeseung Heo, Seungbeom Lee, Sungsoo Ahn, Dongwoo Kim | EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost | null | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by/4.0/ | Data augmentation plays a critical role in improving model performance across
various domains, but it becomes challenging with graph data due to their
complex and irregular structure. To address this issue, we propose EPIC (Edit
Path Interpolation via learnable Cost), a novel interpolation-based method for
augmenting... | [
{
"created": "Fri, 2 Jun 2023 07:19:07 GMT",
"version": "v1"
},
{
"created": "Tue, 4 Jun 2024 05:54:38 GMT",
"version": "v2"
}
] | 2024-06-05 | [
[
"Heo",
"Jaeseung",
""
],
[
"Lee",
"Seungbeom",
""
],
[
"Ahn",
"Sungsoo",
""
],
[
"Kim",
"Dongwoo",
""
]
] | Data augmentation plays a critical role in improving model performance across various domains, but it becomes challenging with graph data due to their complex and irregular structure. To address this issue, we propose EPIC (Edit Path Interpolation via learnable Cost), a novel interpolation-based method for augmenting g... |
2405.06001 | Yushi Huang | Ruihao Gong, Yang Yong, Shiqiao Gu, Yushi Huang, Chentao Lv, Yunchen
Zhang, Xianglong Liu, Dacheng Tao | LLMC: Benchmarking Large Language Model Quantization with a Versatile
Compression Toolkit | null | null | null | null | cs.LG cs.AI cs.CL | http://creativecommons.org/licenses/by/4.0/ | Recent advancements in large language models (LLMs) are propelling us toward
artificial general intelligence with their remarkable emergent abilities and
reasoning capabilities. However, the substantial computational and memory
requirements limit the widespread adoption. Quantization, a key compression
technique, can... | [
{
"created": "Thu, 9 May 2024 11:49:05 GMT",
"version": "v1"
},
{
"created": "Sat, 20 Jul 2024 07:29:51 GMT",
"version": "v2"
}
] | 2024-07-23 | [
[
"Gong",
"Ruihao",
""
],
[
"Yong",
"Yang",
""
],
[
"Gu",
"Shiqiao",
""
],
[
"Huang",
"Yushi",
""
],
[
"Lv",
"Chentao",
""
],
[
"Zhang",
"Yunchen",
""
],
[
"Liu",
"Xianglong",
""
],
[
"Tao",
"Dach... | Recent advancements in large language models (LLMs) are propelling us toward artificial general intelligence with their remarkable emergent abilities and reasoning capabilities. However, the substantial computational and memory requirements limit the widespread adoption. Quantization, a key compression technique, can e... |
2110.07888 | Xingcheng Fu | Xingcheng Fu, Jianxin Li, Jia Wu, Qingyun Sun, Cheng Ji, Senzhang
Wang, Jiajun Tan, Hao Peng and Philip S. Yu | ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network | null | null | 10.1109/ICDM51629.2021.00021 | null | cs.LG cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Graph Neural Networks (GNNs) have been widely studied in various graph data
mining tasks. Most existingGNNs embed graph data into Euclidean space and thus
are less effective to capture the ubiquitous hierarchical structures in
real-world networks. Hyperbolic Graph Neural Networks(HGNNs) extend GNNs to
hyperbolic spac... | [
{
"created": "Fri, 15 Oct 2021 07:18:57 GMT",
"version": "v1"
}
] | 2022-03-04 | [
[
"Fu",
"Xingcheng",
""
],
[
"Li",
"Jianxin",
""
],
[
"Wu",
"Jia",
""
],
[
"Sun",
"Qingyun",
""
],
[
"Ji",
"Cheng",
""
],
[
"Wang",
"Senzhang",
""
],
[
"Tan",
"Jiajun",
""
],
[
"Peng",
"Hao",
... | Graph Neural Networks (GNNs) have been widely studied in various graph data mining tasks. Most existingGNNs embed graph data into Euclidean space and thus are less effective to capture the ubiquitous hierarchical structures in real-world networks. Hyperbolic Graph Neural Networks(HGNNs) extend GNNs to hyperbolic space ... |
2101.06829 | Tianxing He | Tianxing He, Bryan McCann, Caiming Xiong, Ehsan Hosseini-Asl | Joint Energy-based Model Training for Better Calibrated Natural Language
Understanding Models | null | EACL 2021 | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work, we explore joint energy-based model (EBM) training during the
finetuning of pretrained text encoders (e.g., Roberta) for natural language
understanding (NLU) tasks. Our experiments show that EBM training can help the
model reach a better calibration that is competitive to strong baselines, with
little o... | [
{
"created": "Mon, 18 Jan 2021 01:41:31 GMT",
"version": "v1"
},
{
"created": "Fri, 19 Feb 2021 18:36:31 GMT",
"version": "v2"
}
] | 2021-02-22 | [
[
"He",
"Tianxing",
""
],
[
"McCann",
"Bryan",
""
],
[
"Xiong",
"Caiming",
""
],
[
"Hosseini-Asl",
"Ehsan",
""
]
] | In this work, we explore joint energy-based model (EBM) training during the finetuning of pretrained text encoders (e.g., Roberta) for natural language understanding (NLU) tasks. Our experiments show that EBM training can help the model reach a better calibration that is competitive to strong baselines, with little or ... |
2201.01182 | Kshitija Taywade | Kshitija Taywade, Brent Harrison, Adib Bagh | Modelling Cournot Games as Multi-agent Multi-armed Bandits | 12 pages. arXiv admin note: text overlap with arXiv:2201.00486 | null | null | null | cs.GT cs.AI cs.LG cs.MA econ.EM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We investigate the use of a multi-agent multi-armed bandit (MA-MAB) setting
for modeling repeated Cournot oligopoly games, where the firms acting as agents
choose from the set of arms representing production quantity (a discrete
value). Agents interact with separate and independent bandit problems. In this
formulatio... | [
{
"created": "Sat, 1 Jan 2022 22:02:47 GMT",
"version": "v1"
}
] | 2022-01-05 | [
[
"Taywade",
"Kshitija",
""
],
[
"Harrison",
"Brent",
""
],
[
"Bagh",
"Adib",
""
]
] | We investigate the use of a multi-agent multi-armed bandit (MA-MAB) setting for modeling repeated Cournot oligopoly games, where the firms acting as agents choose from the set of arms representing production quantity (a discrete value). Agents interact with separate and independent bandit problems. In this formulation,... |
2407.13071 | Vatsal Vinay Parikh | Vatsal Vinay Parikh | Analysing the Public Discourse around OpenAI's Text-To-Video Model
'Sora' using Topic Modeling | null | null | null | null | cs.CY cs.CL cs.IR cs.LG cs.SI | http://creativecommons.org/publicdomain/zero/1.0/ | The recent introduction of OpenAI's text-to-video model Sora has sparked
widespread public discourse across online communities. This study aims to
uncover the dominant themes and narratives surrounding Sora by conducting topic
modeling analysis on a corpus of 1,827 Reddit comments from five relevant
subreddits (r/Ope... | [
{
"created": "Thu, 30 May 2024 01:55:30 GMT",
"version": "v1"
}
] | 2024-07-19 | [
[
"Parikh",
"Vatsal Vinay",
""
]
] | The recent introduction of OpenAI's text-to-video model Sora has sparked widespread public discourse across online communities. This study aims to uncover the dominant themes and narratives surrounding Sora by conducting topic modeling analysis on a corpus of 1,827 Reddit comments from five relevant subreddits (r/OpenA... |
1904.13279 | Tim Pfeifer | Tim Pfeifer and Peter Protzel | Incrementally Learned Mixture Models for GNSS Localization | 8 pages, 5 figures, published in proceedings of IEEE Intelligent
Vehicles Symposium (IV) 2019 | null | 10.1109/IVS.2019.8813847 | null | cs.RO eess.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | GNSS localization is an important part of today's autonomous systems,
although it suffers from non-Gaussian errors caused by non-line-of-sight
effects. Recent methods are able to mitigate these effects by including the
corresponding distributions in the sensor fusion algorithm. However, these
approaches require prior... | [
{
"created": "Tue, 30 Apr 2019 14:39:00 GMT",
"version": "v1"
},
{
"created": "Thu, 19 Mar 2020 11:27:11 GMT",
"version": "v2"
}
] | 2020-03-20 | [
[
"Pfeifer",
"Tim",
""
],
[
"Protzel",
"Peter",
""
]
] | GNSS localization is an important part of today's autonomous systems, although it suffers from non-Gaussian errors caused by non-line-of-sight effects. Recent methods are able to mitigate these effects by including the corresponding distributions in the sensor fusion algorithm. However, these approaches require prior k... |
2011.01584 | Li-Yang Tan | Guy Blanc, Neha Gupta, Jane Lange, Li-Yang Tan | Estimating decision tree learnability with polylogarithmic sample
complexity | 25 pages, to appear in NeurIPS 2020 | null | null | null | cs.LG cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We show that top-down decision tree learning heuristics are amenable to
highly efficient learnability estimation: for monotone target functions, the
error of the decision tree hypothesis constructed by these heuristics can be
estimated with polylogarithmically many labeled examples, exponentially smaller
than the num... | [
{
"created": "Tue, 3 Nov 2020 09:26:27 GMT",
"version": "v1"
}
] | 2020-11-04 | [
[
"Blanc",
"Guy",
""
],
[
"Gupta",
"Neha",
""
],
[
"Lange",
"Jane",
""
],
[
"Tan",
"Li-Yang",
""
]
] | We show that top-down decision tree learning heuristics are amenable to highly efficient learnability estimation: for monotone target functions, the error of the decision tree hypothesis constructed by these heuristics can be estimated with polylogarithmically many labeled examples, exponentially smaller than the numbe... |
2009.06560 | Lily Xu | Lily Xu, Elizabeth Bondi, Fei Fang, Andrew Perrault, Kai Wang, Milind
Tambe | Dual-Mandate Patrols: Multi-Armed Bandits for Green Security | Published at AAAI 2021. 9 pages (paper and references), 3 page
appendix. 6 figures and 1 table | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Conservation efforts in green security domains to protect wildlife and
forests are constrained by the limited availability of defenders (i.e.,
patrollers), who must patrol vast areas to protect from attackers (e.g.,
poachers or illegal loggers). Defenders must choose how much time to spend in
each region of the prote... | [
{
"created": "Mon, 14 Sep 2020 16:40:44 GMT",
"version": "v1"
},
{
"created": "Tue, 15 Dec 2020 05:35:48 GMT",
"version": "v2"
},
{
"created": "Fri, 26 Apr 2024 13:51:17 GMT",
"version": "v3"
}
] | 2024-04-29 | [
[
"Xu",
"Lily",
""
],
[
"Bondi",
"Elizabeth",
""
],
[
"Fang",
"Fei",
""
],
[
"Perrault",
"Andrew",
""
],
[
"Wang",
"Kai",
""
],
[
"Tambe",
"Milind",
""
]
] | Conservation efforts in green security domains to protect wildlife and forests are constrained by the limited availability of defenders (i.e., patrollers), who must patrol vast areas to protect from attackers (e.g., poachers or illegal loggers). Defenders must choose how much time to spend in each region of the protect... |
2212.00222 | Madelyn Shapiro | Emilie Purvine, Davis Brown, Brett Jefferson, Cliff Joslyn, Brenda
Praggastis, Archit Rathore, Madelyn Shapiro, Bei Wang, Youjia Zhou | Experimental Observations of the Topology of Convolutional Neural
Network Activations | Accepted at AAAI 2023. This version includes supplementary material | null | null | null | cs.LG cs.CG | http://creativecommons.org/licenses/by/4.0/ | Topological data analysis (TDA) is a branch of computational mathematics,
bridging algebraic topology and data science, that provides compact,
noise-robust representations of complex structures. Deep neural networks (DNNs)
learn millions of parameters associated with a series of transformations
defined by the model a... | [
{
"created": "Thu, 1 Dec 2022 02:05:44 GMT",
"version": "v1"
}
] | 2022-12-02 | [
[
"Purvine",
"Emilie",
""
],
[
"Brown",
"Davis",
""
],
[
"Jefferson",
"Brett",
""
],
[
"Joslyn",
"Cliff",
""
],
[
"Praggastis",
"Brenda",
""
],
[
"Rathore",
"Archit",
""
],
[
"Shapiro",
"Madelyn",
""
],
[... | Topological data analysis (TDA) is a branch of computational mathematics, bridging algebraic topology and data science, that provides compact, noise-robust representations of complex structures. Deep neural networks (DNNs) learn millions of parameters associated with a series of transformations defined by the model arc... |
1404.3660 | Ren\'e van Bevern | Ren\'e van Bevern, Sepp Hartung, Andr\'e Nichterlein, Manuel Sorge | Constant-factor approximations for Capacitated Arc Routing without
triangle inequality | null | Operations Research Letters 42(4):290--292, 2014 | 10.1016/j.orl.2014.05.002 | null | cs.DS cs.DM math.CO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Given an undirected graph with edge costs and edge demands, the Capacitated
Arc Routing problem (CARP) asks for minimum-cost routes for equal-capacity
vehicles so as to satisfy all demands. Constant-factor polynomial-time
approximation algorithms were proposed for CARP with triangle inequality, while
CARP was claimed... | [
{
"created": "Mon, 14 Apr 2014 17:28:19 GMT",
"version": "v1"
}
] | 2014-07-15 | [
[
"van Bevern",
"René",
""
],
[
"Hartung",
"Sepp",
""
],
[
"Nichterlein",
"André",
""
],
[
"Sorge",
"Manuel",
""
]
] | Given an undirected graph with edge costs and edge demands, the Capacitated Arc Routing problem (CARP) asks for minimum-cost routes for equal-capacity vehicles so as to satisfy all demands. Constant-factor polynomial-time approximation algorithms were proposed for CARP with triangle inequality, while CARP was claimed t... |
2105.01747 | Pradeep Kr. Banerjee | Pradeep Kr. Banerjee, Guido Mont\'ufar | Information Complexity and Generalization Bounds | To appear in 2021 IEEE International Symposium on Information Theory
(ISIT); 23 pages | null | 10.1109/ISIT45174.2021.9517960 | null | cs.LG cs.IT math.IT | http://creativecommons.org/licenses/by/4.0/ | We present a unifying picture of PAC-Bayesian and mutual information-based
upper bounds on the generalization error of randomized learning algorithms. As
we show, Tong Zhang's information exponential inequality (IEI) gives a general
recipe for constructing bounds of both flavors. We show that several important
result... | [
{
"created": "Tue, 4 May 2021 20:37:57 GMT",
"version": "v1"
},
{
"created": "Sun, 24 Oct 2021 02:02:45 GMT",
"version": "v2"
}
] | 2021-10-26 | [
[
"Banerjee",
"Pradeep Kr.",
""
],
[
"Montúfar",
"Guido",
""
]
] | We present a unifying picture of PAC-Bayesian and mutual information-based upper bounds on the generalization error of randomized learning algorithms. As we show, Tong Zhang's information exponential inequality (IEI) gives a general recipe for constructing bounds of both flavors. We show that several important results ... |
2310.15928 | Claire Chen | Carlota Par\'es Morlans, Claire Chen, Yijia Weng, Michelle Yi, Yuying
Huang, Nick Heppert, Linqi Zhou, Leonidas Guibas, Jeannette Bohg | AO-Grasp: Articulated Object Grasp Generation | Project website: https://stanford-iprl-lab.github.io/ao-grasp | null | null | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | We introduce AO-Grasp, a grasp proposal method that generates 6 DoF grasps
that enable robots to interact with articulated objects, such as opening and
closing cabinets and appliances. AO-Grasp consists of two main contributions:
the AO-Grasp Model and the AO-Grasp Dataset. Given a segmented partial point
cloud of a ... | [
{
"created": "Tue, 24 Oct 2023 15:26:57 GMT",
"version": "v1"
},
{
"created": "Mon, 18 Mar 2024 17:36:33 GMT",
"version": "v2"
}
] | 2024-03-19 | [
[
"Morlans",
"Carlota Parés",
""
],
[
"Chen",
"Claire",
""
],
[
"Weng",
"Yijia",
""
],
[
"Yi",
"Michelle",
""
],
[
"Huang",
"Yuying",
""
],
[
"Heppert",
"Nick",
""
],
[
"Zhou",
"Linqi",
""
],
[
"Guiba... | We introduce AO-Grasp, a grasp proposal method that generates 6 DoF grasps that enable robots to interact with articulated objects, such as opening and closing cabinets and appliances. AO-Grasp consists of two main contributions: the AO-Grasp Model and the AO-Grasp Dataset. Given a segmented partial point cloud of a si... |
2406.17070 | Dimitris Chytas | Dimitris Chytas, Nithin Raveendran, Bane Vasi\'c | Collective Bit Flipping-Based Decoding of Quantum LDPC Codes | 13 pages, 12 figures | null | null | null | cs.IT math.IT quant-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Quantum low-density parity-check (QLDPC) codes have been proven to achieve
higher minimum distances at higher code rates than surface codes. However, this
family of codes imposes stringent latency requirements and poor performance
under iterative decoding, especially when the variable degree is low. In this
work, we ... | [
{
"created": "Mon, 24 Jun 2024 18:51:48 GMT",
"version": "v1"
}
] | 2024-06-26 | [
[
"Chytas",
"Dimitris",
""
],
[
"Raveendran",
"Nithin",
""
],
[
"Vasić",
"Bane",
""
]
] | Quantum low-density parity-check (QLDPC) codes have been proven to achieve higher minimum distances at higher code rates than surface codes. However, this family of codes imposes stringent latency requirements and poor performance under iterative decoding, especially when the variable degree is low. In this work, we im... |
2104.10845 | Li Zhang | Yuxuan Chen, Li Zhang, Shijian Li, Gang Pan | Optimize Neural Fictitious Self-Play in Regret Minimization Thinking | null | null | null | null | cs.AI | http://creativecommons.org/licenses/by/4.0/ | Optimization of deep learning algorithms to approach Nash Equilibrium remains
a significant problem in imperfect information games, e.g. StarCraft and poker.
Neural Fictitious Self-Play (NFSP) has provided an effective way to learn
approximate Nash Equilibrium without prior domain knowledge in imperfect
information g... | [
{
"created": "Thu, 22 Apr 2021 03:24:23 GMT",
"version": "v1"
}
] | 2021-04-23 | [
[
"Chen",
"Yuxuan",
""
],
[
"Zhang",
"Li",
""
],
[
"Li",
"Shijian",
""
],
[
"Pan",
"Gang",
""
]
] | Optimization of deep learning algorithms to approach Nash Equilibrium remains a significant problem in imperfect information games, e.g. StarCraft and poker. Neural Fictitious Self-Play (NFSP) has provided an effective way to learn approximate Nash Equilibrium without prior domain knowledge in imperfect information gam... |
2405.08709 | Amirreza Zamani | Amirreza Zamani, Sajad Daei, Tobias J. Oechtering, Mikael Skoglund | Multi-Task Private Semantic Communication | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study a multi-task private semantic communication problem, in which an
encoder has access to an information source arbitrarily correlated with some
latent private data. A user has $L$ tasks with priorities. The encoder designs
a message to be revealed which is called the semantic of the information
source. Due to ... | [
{
"created": "Tue, 14 May 2024 15:50:49 GMT",
"version": "v1"
}
] | 2024-05-15 | [
[
"Zamani",
"Amirreza",
""
],
[
"Daei",
"Sajad",
""
],
[
"Oechtering",
"Tobias J.",
""
],
[
"Skoglund",
"Mikael",
""
]
] | We study a multi-task private semantic communication problem, in which an encoder has access to an information source arbitrarily correlated with some latent private data. A user has $L$ tasks with priorities. The encoder designs a message to be revealed which is called the semantic of the information source. Due to th... |
2402.08897 | Adam Seewald | Adam Seewald, Marvin Chanc\'an, Connor M. McCann, Seonghoon Noh, Omeed
Fallahi, Hector Castillo, Ian Abraham, Aaron M. Dollar | RB5 Low-Cost Explorer: Implementing Autonomous Long-Term Exploration on
Low-Cost Robotic Hardware | 7 pages, 5 figures, ICRA'24 | null | null | null | cs.RO | http://creativecommons.org/licenses/by-nc-sa/4.0/ | This systems paper presents the implementation and design of RB5, a wheeled
robot for autonomous long-term exploration with fewer and cheaper sensors.
Requiring just an RGB-D camera and low-power computing hardware, the system
consists of an experimental platform with rocker-bogie suspension. It operates
in unknown a... | [
{
"created": "Wed, 14 Feb 2024 02:07:04 GMT",
"version": "v1"
}
] | 2024-02-15 | [
[
"Seewald",
"Adam",
""
],
[
"Chancán",
"Marvin",
""
],
[
"McCann",
"Connor M.",
""
],
[
"Noh",
"Seonghoon",
""
],
[
"Fallahi",
"Omeed",
""
],
[
"Castillo",
"Hector",
""
],
[
"Abraham",
"Ian",
""
],
[
... | This systems paper presents the implementation and design of RB5, a wheeled robot for autonomous long-term exploration with fewer and cheaper sensors. Requiring just an RGB-D camera and low-power computing hardware, the system consists of an experimental platform with rocker-bogie suspension. It operates in unknown and... |
2312.07553 | Joon Hyun Jeong | Joonhyun Jeong | Hijacking Context in Large Multi-modal Models | Technical Report. Preprint | ICLR 2024 Workshop on Reliable and Responsible Foundation Models | null | null | cs.AI cs.CL | http://creativecommons.org/licenses/by/4.0/ | Recently, Large Multi-modal Models (LMMs) have demonstrated their ability to
understand the visual contents of images given the instructions regarding the
images. Built upon the Large Language Models (LLMs), LMMs also inherit their
abilities and characteristics such as in-context learning where a coherent
sequence of... | [
{
"created": "Thu, 7 Dec 2023 11:23:29 GMT",
"version": "v1"
},
{
"created": "Mon, 13 May 2024 10:42:05 GMT",
"version": "v2"
}
] | 2024-05-14 | [
[
"Jeong",
"Joonhyun",
""
]
] | Recently, Large Multi-modal Models (LMMs) have demonstrated their ability to understand the visual contents of images given the instructions regarding the images. Built upon the Large Language Models (LLMs), LMMs also inherit their abilities and characteristics such as in-context learning where a coherent sequence of i... |
2405.13365 | Zavareh Bozorgasl | Zavareh Bozorgasl and Hao Chen | Clipped Uniform Quantizers for Communication-Efficient Federated
Learning | Work in progress | null | null | null | cs.LG cs.MA eess.SP | http://creativecommons.org/licenses/by/4.0/ | This paper introduces an approach to employ clipped uniform quantization in
federated learning settings, aiming to enhance model efficiency by reducing
communication overhead without compromising accuracy. By employing optimal
clipping thresholds and adaptive quantization schemes, our method significantly
curtails th... | [
{
"created": "Wed, 22 May 2024 05:48:25 GMT",
"version": "v1"
}
] | 2024-05-24 | [
[
"Bozorgasl",
"Zavareh",
""
],
[
"Chen",
"Hao",
""
]
] | This paper introduces an approach to employ clipped uniform quantization in federated learning settings, aiming to enhance model efficiency by reducing communication overhead without compromising accuracy. By employing optimal clipping thresholds and adaptive quantization schemes, our method significantly curtails the ... |
2303.01295 | Antonio Guerriero | Antonio Guerriero, Roberto Pietrantuono, Stefano Russo | Iterative Assessment and Improvement of DNN Operational Accuracy | Paper accepted at 45th International Conference on Software
Engineering (ICSE'23 NIER), May 2023 | null | 10.1109/ICSE-NIER58687.2023.00014 | null | cs.LG cs.AI cs.CV cs.SE | http://creativecommons.org/licenses/by/4.0/ | Deep Neural Networks (DNN) are nowadays largely adopted in many application
domains thanks to their human-like, or even superhuman, performance in specific
tasks. However, due to unpredictable/unconsidered operating conditions,
unexpected failures show up on field, making the performance of a DNN in
operation very di... | [
{
"created": "Thu, 2 Mar 2023 14:21:54 GMT",
"version": "v1"
}
] | 2024-03-27 | [
[
"Guerriero",
"Antonio",
""
],
[
"Pietrantuono",
"Roberto",
""
],
[
"Russo",
"Stefano",
""
]
] | Deep Neural Networks (DNN) are nowadays largely adopted in many application domains thanks to their human-like, or even superhuman, performance in specific tasks. However, due to unpredictable/unconsidered operating conditions, unexpected failures show up on field, making the performance of a DNN in operation very diff... |
1406.5988 | Luca Sanguinetti | Luca Sanguinetti, Aris L. Moustakas, Emil Bjornson, and Merouane
Debbah | Large System Analysis of the Energy Consumption Distribution in
Multi-User MIMO Systems with Mobility | 8 figures, 2 tables, to appear on IEEE Transactions on Wireless
Communications | null | 10.1109/TWC.2014.2372761 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work, we consider the downlink of a single-cell multi-user MIMO
system in which the base station (BS) makes use of $N$ antennas to communicate
with $K$ single-antenna user equipments (UEs). The UEs move around in the cell
according to a random walk mobility model. We aim at determining the energy
consumption ... | [
{
"created": "Mon, 23 Jun 2014 17:18:15 GMT",
"version": "v1"
},
{
"created": "Mon, 5 Jan 2015 08:31:45 GMT",
"version": "v2"
}
] | 2016-11-18 | [
[
"Sanguinetti",
"Luca",
""
],
[
"Moustakas",
"Aris L.",
""
],
[
"Bjornson",
"Emil",
""
],
[
"Debbah",
"Merouane",
""
]
] | In this work, we consider the downlink of a single-cell multi-user MIMO system in which the base station (BS) makes use of $N$ antennas to communicate with $K$ single-antenna user equipments (UEs). The UEs move around in the cell according to a random walk mobility model. We aim at determining the energy consumption di... |
1911.00616 | Eduardo Soares Mr | Eduardo Soares, Plamen Angelov | Novelty Detection and Learning from Extremely Weak Supervision | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we offer a method and algorithm, which make possible fully
autonomous (unsupervised) detection of new classes, and learning following a
very parsimonious training priming (few labeled data samples only). Moreover,
new unknown classes may appear at a later stage and the proposed xClass method
and algorit... | [
{
"created": "Fri, 1 Nov 2019 23:51:08 GMT",
"version": "v1"
}
] | 2019-11-05 | [
[
"Soares",
"Eduardo",
""
],
[
"Angelov",
"Plamen",
""
]
] | In this paper we offer a method and algorithm, which make possible fully autonomous (unsupervised) detection of new classes, and learning following a very parsimonious training priming (few labeled data samples only). Moreover, new unknown classes may appear at a later stage and the proposed xClass method and algorithm... |
2203.11903 | Chace Lee | Chace Lee, Angelica Willis, Christina Chen, Marcin Sieniek, Akib
Uddin, Jonny Wong, Rory Pilgrim, Katherine Chou, Daniel Tse, Shravya Shetty,
Ryan G. Gomes | Enabling faster and more reliable sonographic assessment of gestational
age through machine learning | null | null | null | null | cs.LG cs.CV eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Fetal ultrasounds are an essential part of prenatal care and can be used to
estimate gestational age (GA). Accurate GA assessment is important for
providing appropriate prenatal care throughout pregnancy and identifying
complications such as fetal growth disorders. Since derivation of GA from
manual fetal biometry me... | [
{
"created": "Tue, 22 Mar 2022 17:15:56 GMT",
"version": "v1"
}
] | 2022-03-23 | [
[
"Lee",
"Chace",
""
],
[
"Willis",
"Angelica",
""
],
[
"Chen",
"Christina",
""
],
[
"Sieniek",
"Marcin",
""
],
[
"Uddin",
"Akib",
""
],
[
"Wong",
"Jonny",
""
],
[
"Pilgrim",
"Rory",
""
],
[
"Chou",
... | Fetal ultrasounds are an essential part of prenatal care and can be used to estimate gestational age (GA). Accurate GA assessment is important for providing appropriate prenatal care throughout pregnancy and identifying complications such as fetal growth disorders. Since derivation of GA from manual fetal biometry meas... |
2210.00891 | Enzo Tartaglione | Enzo Tartaglione | Information Removal at the bottleneck in Deep Neural Networks | null | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep learning models are nowadays broadly deployed to solve an incredibly
large variety of tasks. Commonly, leveraging over the availability of "big
data", deep neural networks are trained as black-boxes, minimizing an objective
function at its output. This however does not allow control over the
propagation of some ... | [
{
"created": "Fri, 30 Sep 2022 14:20:21 GMT",
"version": "v1"
}
] | 2022-10-04 | [
[
"Tartaglione",
"Enzo",
""
]
] | Deep learning models are nowadays broadly deployed to solve an incredibly large variety of tasks. Commonly, leveraging over the availability of "big data", deep neural networks are trained as black-boxes, minimizing an objective function at its output. This however does not allow control over the propagation of some sp... |
1004.3566 | Vishal Goyal | G. Murugesan, C. Chellappan | An Economic-based Resource Management and Scheduling for Grid Computing
Applications | International Journal of Computer Science Issues online at
http://ijcsi.org/articles/An-Economic-based-Resource-Management-and-Scheduling-for-Grid-Computing-Applications.php | IJCSI, Volume 7, Issue 2, March 2010 | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Resource management and scheduling plays a crucial role in achieving high
utilization of resources in grid computing environments. Due to heterogeneity
of resources, scheduling an application is significantly complicated and
challenging task in grid system. Most of the researches in this area are mainly
focused on to... | [
{
"created": "Tue, 20 Apr 2010 20:32:31 GMT",
"version": "v1"
}
] | 2010-04-22 | [
[
"Murugesan",
"G.",
""
],
[
"Chellappan",
"C.",
""
]
] | Resource management and scheduling plays a crucial role in achieving high utilization of resources in grid computing environments. Due to heterogeneity of resources, scheduling an application is significantly complicated and challenging task in grid system. Most of the researches in this area are mainly focused on to i... |
1912.12220 | Do\u{g}analp Ergen\c{c} | Do\u{g}analp Ergen\c{c} and Ertan Onur | On Network Traffic Forecasting using Autoregressive Models | null | null | null | null | cs.NI eess.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Various statistical analysis methods are studied for years to extract
accurate trends of network traffic and predict the future load mainly to
allocate required resources. Besides, many stochastic modeling techniques are
offered to represent fundamental characteristics of different types of network
traffic. In this s... | [
{
"created": "Fri, 27 Dec 2019 16:26:25 GMT",
"version": "v1"
}
] | 2019-12-30 | [
[
"Ergenç",
"Doğanalp",
""
],
[
"Onur",
"Ertan",
""
]
] | Various statistical analysis methods are studied for years to extract accurate trends of network traffic and predict the future load mainly to allocate required resources. Besides, many stochastic modeling techniques are offered to represent fundamental characteristics of different types of network traffic. In this stu... |
2003.13165 | Balakumar Sundaralingam | Balakumar Sundaralingam and Tucker Hermans | In-Hand Object-Dynamics Inference using Tactile Fingertips | Accepted at IEEE Transactions on Robotics (T-RO). Website:
https://sites.google.com/view/tactile-obj-dynamics | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Having the ability to estimate an object's properties through interaction
will enable robots to manipulate novel objects. Object's dynamics, specifically
the friction and inertial parameters have only been estimated in a lab
environment with precise and often external sensing. Could we infer an object's
dynamics in t... | [
{
"created": "Mon, 30 Mar 2020 00:12:11 GMT",
"version": "v1"
},
{
"created": "Tue, 19 Jan 2021 04:37:38 GMT",
"version": "v2"
}
] | 2021-01-20 | [
[
"Sundaralingam",
"Balakumar",
""
],
[
"Hermans",
"Tucker",
""
]
] | Having the ability to estimate an object's properties through interaction will enable robots to manipulate novel objects. Object's dynamics, specifically the friction and inertial parameters have only been estimated in a lab environment with precise and often external sensing. Could we infer an object's dynamics in the... |
2302.07832 | Aodong Li | Aodong Li, Chen Qiu, Marius Kloft, Padhraic Smyth, Stephan Mandt, Maja
Rudolph | Deep Anomaly Detection under Labeling Budget Constraints | ICML 2023 | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by/4.0/ | Selecting informative data points for expert feedback can significantly
improve the performance of anomaly detection (AD) in various contexts, such as
medical diagnostics or fraud detection. In this paper, we determine a set of
theoretical conditions under which anomaly scores generalize from labeled
queries to unlab... | [
{
"created": "Wed, 15 Feb 2023 18:18:35 GMT",
"version": "v1"
},
{
"created": "Tue, 4 Jul 2023 18:33:10 GMT",
"version": "v2"
}
] | 2023-07-06 | [
[
"Li",
"Aodong",
""
],
[
"Qiu",
"Chen",
""
],
[
"Kloft",
"Marius",
""
],
[
"Smyth",
"Padhraic",
""
],
[
"Mandt",
"Stephan",
""
],
[
"Rudolph",
"Maja",
""
]
] | Selecting informative data points for expert feedback can significantly improve the performance of anomaly detection (AD) in various contexts, such as medical diagnostics or fraud detection. In this paper, we determine a set of theoretical conditions under which anomaly scores generalize from labeled queries to unlabel... |
1706.02337 | Xiao Yang | Xiao Yang, Ersin Yumer, Paul Asente, Mike Kraley, Daniel Kifer, C. Lee
Giles | Learning to Extract Semantic Structure from Documents Using Multimodal
Fully Convolutional Neural Network | CVPR 2017 Spotlight | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present an end-to-end, multimodal, fully convolutional network for
extracting semantic structures from document images. We consider document
semantic structure extraction as a pixel-wise segmentation task, and propose a
unified model that classifies pixels based not only on their visual appearance,
as in the tradi... | [
{
"created": "Wed, 7 Jun 2017 18:51:31 GMT",
"version": "v1"
}
] | 2017-06-09 | [
[
"Yang",
"Xiao",
""
],
[
"Yumer",
"Ersin",
""
],
[
"Asente",
"Paul",
""
],
[
"Kraley",
"Mike",
""
],
[
"Kifer",
"Daniel",
""
],
[
"Giles",
"C. Lee",
""
]
] | We present an end-to-end, multimodal, fully convolutional network for extracting semantic structures from document images. We consider document semantic structure extraction as a pixel-wise segmentation task, and propose a unified model that classifies pixels based not only on their visual appearance, as in the traditi... |
2403.02308 | Yuchen Duan | Yuchen Duan, Weiyun Wang, Zhe Chen, Xizhou Zhu, Lewei Lu, Tong Lu, Yu
Qiao, Hongsheng Li, Jifeng Dai, Wenhai Wang | Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like
Architectures | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Transformers have revolutionized computer vision and natural language
processing, but their high computational complexity limits their application in
high-resolution image processing and long-context analysis. This paper
introduces Vision-RWKV (VRWKV), a model adapted from the RWKV model used in the
NLP field with ne... | [
{
"created": "Mon, 4 Mar 2024 18:46:20 GMT",
"version": "v1"
},
{
"created": "Thu, 7 Mar 2024 15:43:08 GMT",
"version": "v2"
}
] | 2024-03-08 | [
[
"Duan",
"Yuchen",
""
],
[
"Wang",
"Weiyun",
""
],
[
"Chen",
"Zhe",
""
],
[
"Zhu",
"Xizhou",
""
],
[
"Lu",
"Lewei",
""
],
[
"Lu",
"Tong",
""
],
[
"Qiao",
"Yu",
""
],
[
"Li",
"Hongsheng",
""
... | Transformers have revolutionized computer vision and natural language processing, but their high computational complexity limits their application in high-resolution image processing and long-context analysis. This paper introduces Vision-RWKV (VRWKV), a model adapted from the RWKV model used in the NLP field with nece... |
2407.00024 | Lang He Ph.D | Lang He, Kai Chen, Junnan Zhao, Yimeng Wang, Ercheng Pei, Haifeng
Chen, Jiewei Jiang, Shiqing Zhang, Jie Zhang, Zhongmin Wang, Tao He, Prayag
Tiwari | LMVD: A Large-Scale Multimodal Vlog Dataset for Depression Detection in
the Wild | null | null | null | null | cs.CV cs.AI cs.MM | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Depression can significantly impact many aspects of an individual's life,
including their personal and social functioning, academic and work performance,
and overall quality of life. Many researchers within the field of affective
computing are adopting deep learning technology to explore potential patterns
related to... | [
{
"created": "Thu, 9 May 2024 01:27:10 GMT",
"version": "v1"
}
] | 2024-07-02 | [
[
"He",
"Lang",
""
],
[
"Chen",
"Kai",
""
],
[
"Zhao",
"Junnan",
""
],
[
"Wang",
"Yimeng",
""
],
[
"Pei",
"Ercheng",
""
],
[
"Chen",
"Haifeng",
""
],
[
"Jiang",
"Jiewei",
""
],
[
"Zhang",
"Shiqing... | Depression can significantly impact many aspects of an individual's life, including their personal and social functioning, academic and work performance, and overall quality of life. Many researchers within the field of affective computing are adopting deep learning technology to explore potential patterns related to t... |
1812.02615 | Muhammad Junaid Farooq | Jin Shang and Muhammad Junaid Farooq and Quanyan Zhu | Real-Time Transmission Mechanism Design for Wireless IoT Sensors with
Energy Harvesting under Power Saving Mode | null | null | null | null | cs.SY eess.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Internet of things (IoT) comprises of wireless sensors and actuators
connected via access points to the Internet. Often, the sensing devices are
remotely deployed with limited battery power and are equipped with energy
harvesting equipment. These devices transmit real-time data to the base station
(BS), which is ... | [
{
"created": "Thu, 6 Dec 2018 15:46:04 GMT",
"version": "v1"
},
{
"created": "Wed, 30 Jan 2019 17:02:29 GMT",
"version": "v2"
},
{
"created": "Mon, 8 Apr 2019 17:28:31 GMT",
"version": "v3"
}
] | 2019-04-09 | [
[
"Shang",
"Jin",
""
],
[
"Farooq",
"Muhammad Junaid",
""
],
[
"Zhu",
"Quanyan",
""
]
] | The Internet of things (IoT) comprises of wireless sensors and actuators connected via access points to the Internet. Often, the sensing devices are remotely deployed with limited battery power and are equipped with energy harvesting equipment. These devices transmit real-time data to the base station (BS), which is us... |
1803.11256 | Alexander Kott | Alexander Kott | Challenges and Characteristics of Intelligent Autonomy for Internet of
Battle Things in Highly Adversarial Environments | This is a version of the paper that was presented at, and will appear
in the Proceedings of the 2018 Spring Symposium of AAAI, March 26-28, 2018,
Palo Alto, CA | null | null | null | cs.CY cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Numerous, artificially intelligent, networked things will populate the
battlefield of the future, operating in close collaboration with human
warfighters, and fighting as teams in highly adversarial environments. This
paper explores the characteristics, capabilities and intelligence required of
such a network of inte... | [
{
"created": "Tue, 20 Mar 2018 22:15:14 GMT",
"version": "v1"
},
{
"created": "Fri, 13 Apr 2018 19:36:14 GMT",
"version": "v2"
}
] | 2018-04-17 | [
[
"Kott",
"Alexander",
""
]
] | Numerous, artificially intelligent, networked things will populate the battlefield of the future, operating in close collaboration with human warfighters, and fighting as teams in highly adversarial environments. This paper explores the characteristics, capabilities and intelligence required of such a network of intell... |
2303.09187 | Zhongwei Qiu | Zhongwei Qiu, Yang Qiansheng, Jian Wang, Haocheng Feng, Junyu Han,
Errui Ding, Chang Xu, Dongmei Fu, Jingdong Wang | PSVT: End-to-End Multi-person 3D Pose and Shape Estimation with
Progressive Video Transformers | CVPR2023 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Existing methods of multi-person video 3D human Pose and Shape Estimation
(PSE) typically adopt a two-stage strategy, which first detects human instances
in each frame and then performs single-person PSE with temporal model. However,
the global spatio-temporal context among spatial instances can not be captured.
In t... | [
{
"created": "Thu, 16 Mar 2023 09:55:43 GMT",
"version": "v1"
}
] | 2023-03-17 | [
[
"Qiu",
"Zhongwei",
""
],
[
"Qiansheng",
"Yang",
""
],
[
"Wang",
"Jian",
""
],
[
"Feng",
"Haocheng",
""
],
[
"Han",
"Junyu",
""
],
[
"Ding",
"Errui",
""
],
[
"Xu",
"Chang",
""
],
[
"Fu",
"Dongmei... | Existing methods of multi-person video 3D human Pose and Shape Estimation (PSE) typically adopt a two-stage strategy, which first detects human instances in each frame and then performs single-person PSE with temporal model. However, the global spatio-temporal context among spatial instances can not be captured. In thi... |
2405.03251 | Zhenmei Shi | Jiuxiang Gu, Chenyang Li, Yingyu Liang, Zhenmei Shi, Zhao Song | Exploring the Frontiers of Softmax: Provable Optimization, Applications
in Diffusion Model, and Beyond | 53 pages | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | The softmax activation function plays a crucial role in the success of large
language models (LLMs), particularly in the self-attention mechanism of the
widely adopted Transformer architecture. However, the underlying learning
dynamics that contribute to the effectiveness of softmax remain largely
unexplored. As a st... | [
{
"created": "Mon, 6 May 2024 08:15:29 GMT",
"version": "v1"
}
] | 2024-05-07 | [
[
"Gu",
"Jiuxiang",
""
],
[
"Li",
"Chenyang",
""
],
[
"Liang",
"Yingyu",
""
],
[
"Shi",
"Zhenmei",
""
],
[
"Song",
"Zhao",
""
]
] | The softmax activation function plays a crucial role in the success of large language models (LLMs), particularly in the self-attention mechanism of the widely adopted Transformer architecture. However, the underlying learning dynamics that contribute to the effectiveness of softmax remain largely unexplored. As a step... |
2402.10102 | Irina Ar\'evalo | Jose L. Salmeron and Irina Ar\'evalo | A privacy-preserving, distributed and cooperative FCM-based learning
approach for Cancer Research | Rough Sets: International Joint Conference, IJCRS 2020 | null | null | null | cs.AI cs.DC | http://creativecommons.org/licenses/by/4.0/ | Distributed Artificial Intelligence is attracting interest day by day. In
this paper, the authors introduce an innovative methodology for distributed
learning of Particle Swarm Optimization-based Fuzzy Cognitive Maps in a
privacy-preserving way. The authors design a training scheme for collaborative
FCM learning that... | [
{
"created": "Thu, 15 Feb 2024 16:56:25 GMT",
"version": "v1"
}
] | 2024-02-16 | [
[
"Salmeron",
"Jose L.",
""
],
[
"Arévalo",
"Irina",
""
]
] | Distributed Artificial Intelligence is attracting interest day by day. In this paper, the authors introduce an innovative methodology for distributed learning of Particle Swarm Optimization-based Fuzzy Cognitive Maps in a privacy-preserving way. The authors design a training scheme for collaborative FCM learning that o... |
2003.04470 | Vuong M. Ngo | V.M. Ngo, N.A. Le-Khac, and M.T. Kechadi | Data Warehouse and Decision Support on Integrated Crop Big Data | 13 pages, 11 figures. arXiv admin note: text overlap with
arXiv:1905.12411 | International Journal of Business Process Integration and
Management 2020 Vol.10 No.1 | 10.1504/IJBPIM.2020.113115 | null | cs.DB cs.DC cs.LG cs.PF | http://creativecommons.org/licenses/by/4.0/ | In recent years, precision agriculture is becoming very popular. The
introduction of modern information and communication technologies for
collecting and processing Agricultural data revolutionise the agriculture
practises. This has started a while ago (early 20th century) and it is driven
by the low cost of collecti... | [
{
"created": "Tue, 10 Mar 2020 00:10:22 GMT",
"version": "v1"
},
{
"created": "Mon, 12 Apr 2021 08:45:11 GMT",
"version": "v2"
}
] | 2021-04-13 | [
[
"Ngo",
"V. M.",
""
],
[
"Le-Khac",
"N. A.",
""
],
[
"Kechadi",
"M. T.",
""
]
] | In recent years, precision agriculture is becoming very popular. The introduction of modern information and communication technologies for collecting and processing Agricultural data revolutionise the agriculture practises. This has started a while ago (early 20th century) and it is driven by the low cost of collecting... |
1701.05013 | Veronika Cheplygina | Veronika Cheplygina, Isabel Pino Pe\~na, Jesper Holst Pedersen, David
A. Lynch, Lauge S{\o}rensen, Marleen de Bruijne | Transfer learning for multi-center classification of chronic obstructive
pulmonary disease | Accepted at Journal of Biomedical and Health Informatics | null | 10.1109/JBHI.2017.2769800 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Chronic obstructive pulmonary disease (COPD) is a lung disease which can be
quantified using chest computed tomography (CT) scans. Recent studies have
shown that COPD can be automatically diagnosed using weakly supervised learning
of intensity and texture distributions. However, up till now such classifiers
have only... | [
{
"created": "Wed, 18 Jan 2017 11:13:01 GMT",
"version": "v1"
},
{
"created": "Thu, 23 Nov 2017 14:10:34 GMT",
"version": "v2"
}
] | 2017-11-27 | [
[
"Cheplygina",
"Veronika",
""
],
[
"Peña",
"Isabel Pino",
""
],
[
"Pedersen",
"Jesper Holst",
""
],
[
"Lynch",
"David A.",
""
],
[
"Sørensen",
"Lauge",
""
],
[
"de Bruijne",
"Marleen",
""
]
] | Chronic obstructive pulmonary disease (COPD) is a lung disease which can be quantified using chest computed tomography (CT) scans. Recent studies have shown that COPD can be automatically diagnosed using weakly supervised learning of intensity and texture distributions. However, up till now such classifiers have only b... |
2212.11122 | Parviz Ali | Parviz Ali | Diamond Abrasive Electroplated Surface Anomaly Detection using
Convolutional Neural Networks for Industrial Quality Inspection | null | null | null | null | cs.CV cs.LG | http://creativecommons.org/licenses/by/4.0/ | Electroplated diamond abrasive tools require nickel coating on a metal
surface for abrasive bonding and part functionality. The electroplated
nickel-coated abrasive tool is expected to have a high-quality part performance
by having a nickel coating thickness of between 50% to 60% of the abrasive
median diameter, unif... | [
{
"created": "Sun, 11 Dec 2022 20:14:18 GMT",
"version": "v1"
}
] | 2022-12-22 | [
[
"Ali",
"Parviz",
""
]
] | Electroplated diamond abrasive tools require nickel coating on a metal surface for abrasive bonding and part functionality. The electroplated nickel-coated abrasive tool is expected to have a high-quality part performance by having a nickel coating thickness of between 50% to 60% of the abrasive median diameter, unifor... |
1307.0214 | Thijs Laarhoven | Thijs Laarhoven | Dynamic Traitor Tracing Schemes, Revisited | 7 pages, 1 figure (6 subfigures), 1 table | IEEE Workshop on Information Forensics and Security (WIFS), pp.
191-196, 2013 | 10.1109/WIFS.2013.6707817 | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We revisit recent results from the area of collusion-resistant traitor
tracing, and show how they can be combined and improved to obtain more
efficient dynamic traitor tracing schemes. In particular, we show how the
dynamic Tardos scheme of Laarhoven et al. can be combined with the optimized
score functions of Ooster... | [
{
"created": "Sun, 30 Jun 2013 15:55:11 GMT",
"version": "v1"
}
] | 2016-11-17 | [
[
"Laarhoven",
"Thijs",
""
]
] | We revisit recent results from the area of collusion-resistant traitor tracing, and show how they can be combined and improved to obtain more efficient dynamic traitor tracing schemes. In particular, we show how the dynamic Tardos scheme of Laarhoven et al. can be combined with the optimized score functions of Oosterwi... |
1509.00721 | Andrey Shchurov | Andrey A. Shchurov | A Multilayer Model of Computer Networks | 5 pages, 4 figures. ISSN:2231-2803 | International Journal of Computer Trends and Technology (IJCTT)
V26(1):12-16, August 2015 | 10.14445/22312803/IJCTT-V26P103 | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The fundamental concept of applying the system methodology to network
analysis declares that network architecture should take into account services
and applications which this network provides and supports. This work introduces
a formal model of computer networks on the basis of the hierarchical multilayer
networks. ... | [
{
"created": "Wed, 2 Sep 2015 14:34:53 GMT",
"version": "v1"
}
] | 2015-09-03 | [
[
"Shchurov",
"Andrey A.",
""
]
] | The fundamental concept of applying the system methodology to network analysis declares that network architecture should take into account services and applications which this network provides and supports. This work introduces a formal model of computer networks on the basis of the hierarchical multilayer networks. In... |
1811.00753 | Kartik Ahuja | Kartik Ahuja, Mihaela van der Schaar | Risk-Stratify: Confident Stratification Of Patients Based On Risk | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A clinician desires to use a risk-stratification method that achieves
confident risk-stratification - the risk estimates of the different patients
reflect the true risks with a high probability. This allows him/her to use
these risks to make accurate predictions about prognosis and decisions about
screening, treatmen... | [
{
"created": "Fri, 2 Nov 2018 06:30:52 GMT",
"version": "v1"
}
] | 2018-11-05 | [
[
"Ahuja",
"Kartik",
""
],
[
"van der Schaar",
"Mihaela",
""
]
] | A clinician desires to use a risk-stratification method that achieves confident risk-stratification - the risk estimates of the different patients reflect the true risks with a high probability. This allows him/her to use these risks to make accurate predictions about prognosis and decisions about screening, treatments... |
1812.03615 | Isuru Godage | Jiahao Deng, Brandon H. Meng, Iyad Kanj, Isuru S. Godage | Near-optimal Smooth Path Planning for Multisection Continuum Arms | Submitted to 2019 IEEE International Conference on Soft Robotics
(RoboSoft 2019) | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the path planning problem for continuum-arm robots, in which we are
given a starting and an end point, and we need to compute a path for the tip of
the continuum arm between the two points. We consider both cases where
obstacles are present and where they are not. We demonstrate how to leverage
the continuum... | [
{
"created": "Mon, 10 Dec 2018 04:00:27 GMT",
"version": "v1"
}
] | 2018-12-11 | [
[
"Deng",
"Jiahao",
""
],
[
"Meng",
"Brandon H.",
""
],
[
"Kanj",
"Iyad",
""
],
[
"Godage",
"Isuru S.",
""
]
] | We study the path planning problem for continuum-arm robots, in which we are given a starting and an end point, and we need to compute a path for the tip of the continuum arm between the two points. We consider both cases where obstacles are present and where they are not. We demonstrate how to leverage the continuum a... |
1011.6030 | Bernard Cousin | Shadi Jawhar (IRISA), Bernard Cousin (IRISA) | Optical Multicast Routing Under Light Splitter Constraints | null | 7th International Conference on Information Technology : New
Generations (ITNG 2010), Las Vegas : United States (2010) | 10.1109/ITNG.2010.168 | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | During the past few years, we have observed the emergence of new applications
that use multicast transmission. For a multicast routing algorithm to be
applicable in optical networks, it must route data only to group members,
optimize and maintain loop-free routes, and concentrate the routes on a subset
of network lin... | [
{
"created": "Sun, 28 Nov 2010 11:04:01 GMT",
"version": "v1"
}
] | 2010-11-30 | [
[
"Jawhar",
"Shadi",
"",
"IRISA"
],
[
"Cousin",
"Bernard",
"",
"IRISA"
]
] | During the past few years, we have observed the emergence of new applications that use multicast transmission. For a multicast routing algorithm to be applicable in optical networks, it must route data only to group members, optimize and maintain loop-free routes, and concentrate the routes on a subset of network links... |
2012.04733 | Jiaqi Wang | Jiaqi Wang, Kai Chen, Rui Xu, Ziwei Liu, Chen Change Loy, Dahua Lin | CARAFE++: Unified Content-Aware ReAssembly of FEatures | Technical Report. Extended journal version of the conference paper
that appeared as arXiv:1905.02188 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Feature reassembly, i.e. feature downsampling and upsampling, is a key
operation in a number of modern convolutional network architectures, e.g.,
residual networks and feature pyramids. Its design is critical for dense
prediction tasks such as object detection and semantic/instance segmentation.
In this work, we prop... | [
{
"created": "Mon, 7 Dec 2020 07:34:57 GMT",
"version": "v1"
}
] | 2020-12-10 | [
[
"Wang",
"Jiaqi",
""
],
[
"Chen",
"Kai",
""
],
[
"Xu",
"Rui",
""
],
[
"Liu",
"Ziwei",
""
],
[
"Loy",
"Chen Change",
""
],
[
"Lin",
"Dahua",
""
]
] | Feature reassembly, i.e. feature downsampling and upsampling, is a key operation in a number of modern convolutional network architectures, e.g., residual networks and feature pyramids. Its design is critical for dense prediction tasks such as object detection and semantic/instance segmentation. In this work, we propos... |
1903.02639 | Keegan Lensink | Eldad Haber, Keegan Lensink, Eran Treister, Lars Ruthotto | IMEXnet: A Forward Stable Deep Neural Network | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep convolutional neural networks have revolutionized many machine learning
and computer vision tasks, however, some remaining key challenges limit their
wider use. These challenges include improving the network's robustness to
perturbations of the input image and the limited ``field of view'' of
convolution operato... | [
{
"created": "Wed, 6 Mar 2019 22:33:06 GMT",
"version": "v1"
},
{
"created": "Fri, 17 May 2019 21:45:28 GMT",
"version": "v2"
}
] | 2019-05-21 | [
[
"Haber",
"Eldad",
""
],
[
"Lensink",
"Keegan",
""
],
[
"Treister",
"Eran",
""
],
[
"Ruthotto",
"Lars",
""
]
] | Deep convolutional neural networks have revolutionized many machine learning and computer vision tasks, however, some remaining key challenges limit their wider use. These challenges include improving the network's robustness to perturbations of the input image and the limited ``field of view'' of convolution operators... |
2404.14779 | Cl\'ement Christophe | Cl\'ement Christophe, Praveen K Kanithi, Prateek Munjal, Tathagata
Raha, Nasir Hayat, Ronnie Rajan, Ahmed Al-Mahrooqi, Avani Gupta, Muhammad
Umar Salman, Gurpreet Gosal, Bhargav Kanakiya, Charles Chen, Natalia
Vassilieva, Boulbaba Ben Amor, Marco AF Pimentel, Shadab Khan | Med42 -- Evaluating Fine-Tuning Strategies for Medical LLMs:
Full-Parameter vs. Parameter-Efficient Approaches | Published at AAAI 2024 Spring Symposium - Clinical Foundation Models | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | This study presents a comprehensive analysis and comparison of two
predominant fine-tuning methodologies - full-parameter fine-tuning and
parameter-efficient tuning - within the context of medical Large Language
Models (LLMs). We developed and refined a series of LLMs, based on the Llama-2
architecture, specifically ... | [
{
"created": "Tue, 23 Apr 2024 06:36:21 GMT",
"version": "v1"
}
] | 2024-04-24 | [
[
"Christophe",
"Clément",
""
],
[
"Kanithi",
"Praveen K",
""
],
[
"Munjal",
"Prateek",
""
],
[
"Raha",
"Tathagata",
""
],
[
"Hayat",
"Nasir",
""
],
[
"Rajan",
"Ronnie",
""
],
[
"Al-Mahrooqi",
"Ahmed",
""
]... | This study presents a comprehensive analysis and comparison of two predominant fine-tuning methodologies - full-parameter fine-tuning and parameter-efficient tuning - within the context of medical Large Language Models (LLMs). We developed and refined a series of LLMs, based on the Llama-2 architecture, specifically de... |
1812.03304 | Peiyao Shen | Peiyao Shen, Xuebo Zhang and Yongchun Fang | Real-time Acceleration-continuous Path-constrained Trajectory Planning
With Built-in Tradability Between Cruise and Time-optimal Motions | 12 pages, 19 figures | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, a novel real-time acceleration-continuous path-constrained
trajectory planning algorithm is proposed with an appealing built-in
tradability mechanism between cruise motion and time-optimal motion. Different
from existing approaches, the proposed approach smoothens time-optimal
trajectories with bang-ba... | [
{
"created": "Sat, 8 Dec 2018 12:02:49 GMT",
"version": "v1"
}
] | 2018-12-11 | [
[
"Shen",
"Peiyao",
""
],
[
"Zhang",
"Xuebo",
""
],
[
"Fang",
"Yongchun",
""
]
] | In this paper, a novel real-time acceleration-continuous path-constrained trajectory planning algorithm is proposed with an appealing built-in tradability mechanism between cruise motion and time-optimal motion. Different from existing approaches, the proposed approach smoothens time-optimal trajectories with bang-bang... |
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