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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1207.4121 | Fabio Gagliardi Cozman | Fabio Gagliardi Cozman, Cassio Polpo de Campos, Jaime Ide, Jose Carlos
Ferreira da Rocha | Propositional and Relational Bayesian Networks Associated with Imprecise
and Qualitative Probabilistic Assesments | Appears in Proceedings of the Twentieth Conference on Uncertainty in
Artificial Intelligence (UAI2004) | null | null | UAI-P-2004-PG-104-111 | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper investigates a representation language with flexibility inspired
by probabilistic logic and compactness inspired by relational Bayesian
networks. The goal is to handle propositional and first-order constructs
together with precise, imprecise, indeterminate and qualitative probabilistic
assessments. The pap... | [
{
"created": "Wed, 11 Jul 2012 14:45:39 GMT",
"version": "v1"
}
] | 2012-07-19 | [
[
"Cozman",
"Fabio Gagliardi",
""
],
[
"de Campos",
"Cassio Polpo",
""
],
[
"Ide",
"Jaime",
""
],
[
"da Rocha",
"Jose Carlos Ferreira",
""
]
] | This paper investigates a representation language with flexibility inspired by probabilistic logic and compactness inspired by relational Bayesian networks. The goal is to handle propositional and first-order constructs together with precise, imprecise, indeterminate and qualitative probabilistic assessments. The paper... |
2010.11425 | Abhimanyu Dubey | Abhimanyu Dubey and Alex Pentland | Differentially-Private Federated Linear Bandits | 22 pages. Camera-ready for NeurIPS 2020 | null | null | null | cs.LG cs.CR cs.MA stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The rapid proliferation of decentralized learning systems mandates the need
for differentially-private cooperative learning. In this paper, we study this
in context of the contextual linear bandit: we consider a collection of agents
cooperating to solve a common contextual bandit, while ensuring that their
communicat... | [
{
"created": "Thu, 22 Oct 2020 03:58:39 GMT",
"version": "v1"
}
] | 2020-10-23 | [
[
"Dubey",
"Abhimanyu",
""
],
[
"Pentland",
"Alex",
""
]
] | The rapid proliferation of decentralized learning systems mandates the need for differentially-private cooperative learning. In this paper, we study this in context of the contextual linear bandit: we consider a collection of agents cooperating to solve a common contextual bandit, while ensuring that their communicatio... |
1404.1462 | Pallavi Sudhakar | Pallavi.V.S, Dr. Rukmani Devi.D | Design of a High Speed FPGA-Based Classifier for Efficient Packet
Classification | 6 pages, 6 figures, "Published with International Journal of Computer
Trends and Technology (IJCTT)", "National Conference on Modern Electronics
and Signal Processing (2014)- Velammal Engineering College", "Recent Trends
in Information Technology (2014)- R.M.K College of Engineering and
Technology" | Pallavi.V.S, Dr.Rukmani Devi.D Article: Design of a High Speed
FPGA-Based Classifier for Efficient Packet Classification. International
Journal of Computer Trends and Technology(IJCTT) 9(3):123-128,Mar 2014 | 10.14445/22312803/IJCTT-V9P126 | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Packet classification is a vital and complicated task as the processing of
packets should be done at a specified line speed. In order to classify a packet
as belonging to a particular flow or set of flows, network nodes must perform a
search over a set of filters using multiple fields of the packet as the search
key.... | [
{
"created": "Sat, 5 Apr 2014 11:06:40 GMT",
"version": "v1"
}
] | 2014-04-08 | [
[
"S",
"Pallavi. V.",
""
],
[
"D",
"Dr. Rukmani Devi.",
""
]
] | Packet classification is a vital and complicated task as the processing of packets should be done at a specified line speed. In order to classify a packet as belonging to a particular flow or set of flows, network nodes must perform a search over a set of filters using multiple fields of the packet as the search key. H... |
2307.03741 | Vladan Stojni\'c | Vladan Stojni\'c, Zakaria Laskar, Giorgos Tolias | Training Ensembles with Inliers and Outliers for Semi-supervised Active
Learning | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep active learning in the presence of outlier examples poses a realistic
yet challenging scenario. Acquiring unlabeled data for annotation requires a
delicate balance between avoiding outliers to conserve the annotation budget
and prioritizing useful inlier examples for effective training. In this work,
we present ... | [
{
"created": "Fri, 7 Jul 2023 17:50:07 GMT",
"version": "v1"
}
] | 2023-07-10 | [
[
"Stojnić",
"Vladan",
""
],
[
"Laskar",
"Zakaria",
""
],
[
"Tolias",
"Giorgos",
""
]
] | Deep active learning in the presence of outlier examples poses a realistic yet challenging scenario. Acquiring unlabeled data for annotation requires a delicate balance between avoiding outliers to conserve the annotation budget and prioritizing useful inlier examples for effective training. In this work, we present an... |
2408.05518 | Hongsheng Qin | Zhengang Lu, Hongsheng Qin, Jing Li, Ming Sun and Jiubin Tan | Long working distance portable smartphone microscopy for metallic mesh
defect detection | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Metallic mesh is a transparent electromagnetic shielding film with a fine
metal line structure. However, it can develop defects that affect the
optoelectronic performance whether in the production preparation or in actual
use. The development of in-situ non-destructive testing (NDT) devices for
metallic mesh requires... | [
{
"created": "Sat, 10 Aug 2024 11:02:03 GMT",
"version": "v1"
},
{
"created": "Tue, 13 Aug 2024 05:16:07 GMT",
"version": "v2"
}
] | 2024-08-14 | [
[
"Lu",
"Zhengang",
""
],
[
"Qin",
"Hongsheng",
""
],
[
"Li",
"Jing",
""
],
[
"Sun",
"Ming",
""
],
[
"Tan",
"Jiubin",
""
]
] | Metallic mesh is a transparent electromagnetic shielding film with a fine metal line structure. However, it can develop defects that affect the optoelectronic performance whether in the production preparation or in actual use. The development of in-situ non-destructive testing (NDT) devices for metallic mesh requires l... |
2205.07854 | Haoteng Tang | Haoteng Tang, Xiyao Fu, Lei Guo, Yalin Wang, Scott Mackin, Olusola
Ajilore, Alex Leow, Paul Thompson, Heng Huang, Liang Zhan | Functional2Structural: Cross-Modality Brain Networks Representation
Learning | null | null | null | null | cs.LG cs.AI cs.CV eess.IV q-bio.NC | http://creativecommons.org/licenses/by/4.0/ | MRI-based modeling of brain networks has been widely used to understand
functional and structural interactions and connections among brain regions, and
factors that affect them, such as brain development and disease. Graph mining
on brain networks may facilitate the discovery of novel biomarkers for clinical
phenotyp... | [
{
"created": "Fri, 6 May 2022 03:45:36 GMT",
"version": "v1"
}
] | 2022-05-18 | [
[
"Tang",
"Haoteng",
""
],
[
"Fu",
"Xiyao",
""
],
[
"Guo",
"Lei",
""
],
[
"Wang",
"Yalin",
""
],
[
"Mackin",
"Scott",
""
],
[
"Ajilore",
"Olusola",
""
],
[
"Leow",
"Alex",
""
],
[
"Thompson",
"Pau... | MRI-based modeling of brain networks has been widely used to understand functional and structural interactions and connections among brain regions, and factors that affect them, such as brain development and disease. Graph mining on brain networks may facilitate the discovery of novel biomarkers for clinical phenotypes... |
1210.5041 | Thomas Maugey | Thomas Maugey, Ismael Daribo, Gene Cheung, Pascal Frossard | Navigation domain representation for interactive multiview imaging | null | null | 10.1109/TIP.2013.2270183 | null | cs.MM cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Enabling users to interactively navigate through different viewpoints of a
static scene is a new interesting functionality in 3D streaming systems. While
it opens exciting perspectives towards rich multimedia applications, it
requires the design of novel representations and coding techniques in order to
solve the new... | [
{
"created": "Thu, 18 Oct 2012 07:41:17 GMT",
"version": "v1"
},
{
"created": "Mon, 17 Jun 2013 09:32:50 GMT",
"version": "v2"
}
] | 2015-06-11 | [
[
"Maugey",
"Thomas",
""
],
[
"Daribo",
"Ismael",
""
],
[
"Cheung",
"Gene",
""
],
[
"Frossard",
"Pascal",
""
]
] | Enabling users to interactively navigate through different viewpoints of a static scene is a new interesting functionality in 3D streaming systems. While it opens exciting perspectives towards rich multimedia applications, it requires the design of novel representations and coding techniques in order to solve the new c... |
1904.11327 | Saverio Giallorenzo | Saverio Giallorenzo, Fabrizio Montesi, Larisa Safina, Stefano Pio
Zingaro | Ephemeral Data Handling in Microservices - Technical Report | null | null | null | null | cs.PL cs.DB | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In modern application areas for software systems --- like eHealth, the
Internet-of-Things, and Edge Computing --- data is encoded in heterogeneous,
tree-shaped data-formats, it must be processed in real-time, and it must be
ephemeral, i.e., not persist in the system. While it is preferable to use a
query language to ... | [
{
"created": "Thu, 25 Apr 2019 13:31:33 GMT",
"version": "v1"
}
] | 2019-04-26 | [
[
"Giallorenzo",
"Saverio",
""
],
[
"Montesi",
"Fabrizio",
""
],
[
"Safina",
"Larisa",
""
],
[
"Zingaro",
"Stefano Pio",
""
]
] | In modern application areas for software systems --- like eHealth, the Internet-of-Things, and Edge Computing --- data is encoded in heterogeneous, tree-shaped data-formats, it must be processed in real-time, and it must be ephemeral, i.e., not persist in the system. While it is preferable to use a query language to ex... |
2404.12704 | Haoyu Sun | Jiazhu Dai, Haoyu Sun | A Clean-graph Backdoor Attack against Graph Convolutional Networks with
Poisoned Label Only | null | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Graph Convolutional Networks (GCNs) have shown excellent performance in
dealing with various graph structures such as node classification, graph
classification and other tasks. However,recent studies have shown that GCNs are
vulnerable to a novel threat known as backdoor attacks. However, all existing
backdoor attack... | [
{
"created": "Fri, 19 Apr 2024 08:21:54 GMT",
"version": "v1"
}
] | 2024-04-22 | [
[
"Dai",
"Jiazhu",
""
],
[
"Sun",
"Haoyu",
""
]
] | Graph Convolutional Networks (GCNs) have shown excellent performance in dealing with various graph structures such as node classification, graph classification and other tasks. However,recent studies have shown that GCNs are vulnerable to a novel threat known as backdoor attacks. However, all existing backdoor attacks ... |
2102.04762 | Linwei Ye | Linwei Ye, Mrigank Rochan, Zhi Liu, Xiaoqin Zhang and Yang Wang | Referring Segmentation in Images and Videos with Cross-Modal
Self-Attention Network | 14 pages, 8 figures. arXiv admin note: substantial text overlap with
arXiv:1904.04745 | null | 10.1109/TPAMI.2021.3054384 | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | We consider the problem of referring segmentation in images and videos with
natural language. Given an input image (or video) and a referring expression,
the goal is to segment the entity referred by the expression in the image or
video. In this paper, we propose a cross-modal self-attention (CMSA) module to
utilize ... | [
{
"created": "Tue, 9 Feb 2021 11:27:59 GMT",
"version": "v1"
}
] | 2021-02-10 | [
[
"Ye",
"Linwei",
""
],
[
"Rochan",
"Mrigank",
""
],
[
"Liu",
"Zhi",
""
],
[
"Zhang",
"Xiaoqin",
""
],
[
"Wang",
"Yang",
""
]
] | We consider the problem of referring segmentation in images and videos with natural language. Given an input image (or video) and a referring expression, the goal is to segment the entity referred by the expression in the image or video. In this paper, we propose a cross-modal self-attention (CMSA) module to utilize fi... |
1112.0958 | Qianxue Wang | Jacques M. Bahi, Xiaole Fang, Christophe Guyeux, and Qianxue Wang | On the design of a family of CI pseudo-random number generators | 4 pages, In WICOM'11, 7th Int. IEEE Conf. on Wireless Communications,
Networking and Mobile Computing, Wuhan, China, pages 1--4, September 2011 | null | 10.1109/wicom.2011.6040161 | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Chaos and its applications in the field of secure communications have
attracted a lot of attention. Chaos-based pseudo-random number generators are
critical to guarantee security over open networks as the Internet. We have
previously demonstrated that it is possible to define such generators with good
statistical pro... | [
{
"created": "Mon, 5 Dec 2011 15:07:16 GMT",
"version": "v1"
}
] | 2016-11-17 | [
[
"Bahi",
"Jacques M.",
""
],
[
"Fang",
"Xiaole",
""
],
[
"Guyeux",
"Christophe",
""
],
[
"Wang",
"Qianxue",
""
]
] | Chaos and its applications in the field of secure communications have attracted a lot of attention. Chaos-based pseudo-random number generators are critical to guarantee security over open networks as the Internet. We have previously demonstrated that it is possible to define such generators with good statistical prope... |
1604.07044 | Xianming Liu | Xianming Liu, Min-Hsuan Tsai, Thomas Huang | Analyzing User Preference for Social Image Recommendation | null | null | null | null | cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With the incredibly growing amount of multimedia data shared on the social
media platforms, recommender systems have become an important necessity to ease
users' burden on the information overload. In such a scenario, extensive amount
of heterogeneous information such as tags, image content, in addition to the
user-t... | [
{
"created": "Sun, 24 Apr 2016 15:54:02 GMT",
"version": "v1"
}
] | 2016-04-26 | [
[
"Liu",
"Xianming",
""
],
[
"Tsai",
"Min-Hsuan",
""
],
[
"Huang",
"Thomas",
""
]
] | With the incredibly growing amount of multimedia data shared on the social media platforms, recommender systems have become an important necessity to ease users' burden on the information overload. In such a scenario, extensive amount of heterogeneous information such as tags, image content, in addition to the user-to-... |
1504.00037 | Alex Horn | Alex Horn and Daniel Kroening | On partial order semantics for SAT/SMT-based symbolic encodings of weak
memory concurrency | 15 pages, 3 figures | null | null | null | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Concurrent systems are notoriously difficult to analyze, and technological
advances such as weak memory architectures greatly compound this problem. This
has renewed interest in partial order semantics as a theoretical foundation for
formal verification techniques. Among these, symbolic techniques have been
shown to ... | [
{
"created": "Tue, 31 Mar 2015 21:03:30 GMT",
"version": "v1"
}
] | 2015-04-02 | [
[
"Horn",
"Alex",
""
],
[
"Kroening",
"Daniel",
""
]
] | Concurrent systems are notoriously difficult to analyze, and technological advances such as weak memory architectures greatly compound this problem. This has renewed interest in partial order semantics as a theoretical foundation for formal verification techniques. Among these, symbolic techniques have been shown to be... |
1801.00377 | Walid Shalaby | Walid Shalaby, BahaaEddin AlAila, Mohammed Korayem, Layla Pournajaf,
Khalifeh AlJadda, Shannon Quinn, and Wlodek Zadrozny | Help Me Find a Job: A Graph-based Approach for Job Recommendation at
Scale | Accepted at 2017 IEEE International Conference on Big Data (BIGDATA) | null | null | null | cs.IR cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Online job boards are one of the central components of modern recruitment
industry. With millions of candidates browsing through job postings everyday,
the need for accurate, effective, meaningful, and transparent job
recommendations is apparent more than ever. While recommendation systems are
successfully advancing ... | [
{
"created": "Mon, 1 Jan 2018 00:47:44 GMT",
"version": "v1"
}
] | 2018-01-03 | [
[
"Shalaby",
"Walid",
""
],
[
"AlAila",
"BahaaEddin",
""
],
[
"Korayem",
"Mohammed",
""
],
[
"Pournajaf",
"Layla",
""
],
[
"AlJadda",
"Khalifeh",
""
],
[
"Quinn",
"Shannon",
""
],
[
"Zadrozny",
"Wlodek",
""
... | Online job boards are one of the central components of modern recruitment industry. With millions of candidates browsing through job postings everyday, the need for accurate, effective, meaningful, and transparent job recommendations is apparent more than ever. While recommendation systems are successfully advancing in... |
2201.06801 | Subhasis Koley | Susobhan Bandopadhyay, Sasthi C. Ghosh and Subhasis Koley | Improved Bounds on the Span of $L(1,2)$-edge Labeling of Some Infinite
Regular Grids | null | null | null | null | cs.DM math.CO | http://creativecommons.org/licenses/by/4.0/ | For two given nonnegative integers $h$ and $k$, an $L(h,k)$-edge labeling of
a graph $G$ is the assignment of labels $\{0,1, \cdots, n\}$ to the edges so
that two edges having a common vertex are labeled with difference at least $h$
and two edges not having any common vertex but having a common edge connecting
them a... | [
{
"created": "Tue, 18 Jan 2022 07:58:13 GMT",
"version": "v1"
}
] | 2022-01-19 | [
[
"Bandopadhyay",
"Susobhan",
""
],
[
"Ghosh",
"Sasthi C.",
""
],
[
"Koley",
"Subhasis",
""
]
] | For two given nonnegative integers $h$ and $k$, an $L(h,k)$-edge labeling of a graph $G$ is the assignment of labels $\{0,1, \cdots, n\}$ to the edges so that two edges having a common vertex are labeled with difference at least $h$ and two edges not having any common vertex but having a common edge connecting them are... |
1908.10042 | EPTCS | Wolfgang Ahrendt (Chalmers University of Technology), Ludovic Henrio
(Univ Lyon, EnsL, UCBL, CNRS, Inria, LIP), Wytse Oortwijn (University of
Twente) | Who is to Blame? Runtime Verification of Distributed Objects with Active
Monitors | In Proceedings VORTEX 2018, arXiv:1908.09302 | EPTCS 302, 2019, pp. 32-46 | 10.4204/EPTCS.302.3 | null | cs.SE cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Since distributed software systems are ubiquitous, their correct functioning
is crucially important. Static verification is possible in principle, but
requires high expertise and effort which is not feasible in many eco-systems.
Runtime verification can serve as a lean alternative, where monitoring
mechanisms are aut... | [
{
"created": "Tue, 27 Aug 2019 06:20:22 GMT",
"version": "v1"
}
] | 2019-08-28 | [
[
"Ahrendt",
"Wolfgang",
"",
"Chalmers University of Technology"
],
[
"Henrio",
"Ludovic",
"",
"Univ Lyon, EnsL, UCBL, CNRS, Inria, LIP"
],
[
"Oortwijn",
"Wytse",
"",
"University of\n Twente"
]
] | Since distributed software systems are ubiquitous, their correct functioning is crucially important. Static verification is possible in principle, but requires high expertise and effort which is not feasible in many eco-systems. Runtime verification can serve as a lean alternative, where monitoring mechanisms are autom... |
1911.02590 | Jonathan Lorraine | Jonathan Lorraine, Paul Vicol, David Duvenaud | Optimizing Millions of Hyperparameters by Implicit Differentiation | Submitted to AISTATS 2020 | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose an algorithm for inexpensive gradient-based hyperparameter
optimization that combines the implicit function theorem (IFT) with efficient
inverse Hessian approximations. We present results about the relationship
between the IFT and differentiating through optimization, motivating our
algorithm. We use the p... | [
{
"created": "Wed, 6 Nov 2019 19:04:16 GMT",
"version": "v1"
}
] | 2019-11-11 | [
[
"Lorraine",
"Jonathan",
""
],
[
"Vicol",
"Paul",
""
],
[
"Duvenaud",
"David",
""
]
] | We propose an algorithm for inexpensive gradient-based hyperparameter optimization that combines the implicit function theorem (IFT) with efficient inverse Hessian approximations. We present results about the relationship between the IFT and differentiating through optimization, motivating our algorithm. We use the pro... |
2012.12507 | Se Young Chun | Dongwon Park, Dong Un Kang, Se Young Chun | Blur More To Deblur Better: Multi-Blur2Deblur For Efficient Video
Deblurring | 9 pages, 7 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | One of the key components for video deblurring is how to exploit neighboring
frames. Recent state-of-the-art methods either used aligned adjacent frames to
the center frame or propagated the information on past frames to the current
frame recurrently. Here we propose multi-blur-to-deblur (MB2D), a novel concept
to ex... | [
{
"created": "Wed, 23 Dec 2020 06:17:31 GMT",
"version": "v1"
}
] | 2020-12-24 | [
[
"Park",
"Dongwon",
""
],
[
"Kang",
"Dong Un",
""
],
[
"Chun",
"Se Young",
""
]
] | One of the key components for video deblurring is how to exploit neighboring frames. Recent state-of-the-art methods either used aligned adjacent frames to the center frame or propagated the information on past frames to the current frame recurrently. Here we propose multi-blur-to-deblur (MB2D), a novel concept to expl... |
2307.14686 | Josep Marti-Saumell | Josep Mart\'i-Saumell, Hugo Duarte, Patrick Grosch, Juan
Andrade-Cetto, Angel Santamaria-Navarro, Joan Sol\`a | Borinot: an open thrust-torque-controlled robot for research on agile
aerial-contact motion | 14 pages, 13 figures. See related video at
https://youtu.be/Ob7IIVB6P_A | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper introduces Borinot, an open-source aerial robotic platform
designed to conduct research on hybrid agile locomotion and manipulation using
flight and contacts. This platform features an agile and powerful hexarotor
that can be outfitted with torque-actuated limbs of diverse architecture,
allowing for whole-... | [
{
"created": "Thu, 27 Jul 2023 08:19:47 GMT",
"version": "v1"
}
] | 2023-07-28 | [
[
"Martí-Saumell",
"Josep",
""
],
[
"Duarte",
"Hugo",
""
],
[
"Grosch",
"Patrick",
""
],
[
"Andrade-Cetto",
"Juan",
""
],
[
"Santamaria-Navarro",
"Angel",
""
],
[
"Solà",
"Joan",
""
]
] | This paper introduces Borinot, an open-source aerial robotic platform designed to conduct research on hybrid agile locomotion and manipulation using flight and contacts. This platform features an agile and powerful hexarotor that can be outfitted with torque-actuated limbs of diverse architecture, allowing for whole-bo... |
2208.11483 | Suncheng Xiang | Hongwei Xu, Suncheng Xiang, Dahong Qian | SubFace: Learning with Softmax Approximation for Face Recognition | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The softmax-based loss functions and its variants (e.g., cosface, sphereface,
and arcface) significantly improve the face recognition performance in wild
unconstrained scenes. A common practice of these algorithms is to perform
optimizations on the multiplication between the embedding features and the
linear transfor... | [
{
"created": "Wed, 24 Aug 2022 12:31:08 GMT",
"version": "v1"
}
] | 2022-08-25 | [
[
"Xu",
"Hongwei",
""
],
[
"Xiang",
"Suncheng",
""
],
[
"Qian",
"Dahong",
""
]
] | The softmax-based loss functions and its variants (e.g., cosface, sphereface, and arcface) significantly improve the face recognition performance in wild unconstrained scenes. A common practice of these algorithms is to perform optimizations on the multiplication between the embedding features and the linear transforma... |
1711.02950 | Federico Costantini | Federico Costantini | MaaS and GDPR: an overview | Paper (10 pages) accepted at the international conference Intelligent
Transport Systems. From research and development to the market uptake,
Helsinki (Finland) November 29/30, 2017. Not published nor in press | null | null | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In MaaS (Mobility as a Service), means of transport are virtualized in
mobility resources and provided to users using the Internet. From a legal
perspective, this model of ITS (Intelligent Transport System) raises several
concerns with regard to data protection. This contribution, after a short
description of MaaS an... | [
{
"created": "Wed, 8 Nov 2017 14:14:15 GMT",
"version": "v1"
}
] | 2017-11-09 | [
[
"Costantini",
"Federico",
""
]
] | In MaaS (Mobility as a Service), means of transport are virtualized in mobility resources and provided to users using the Internet. From a legal perspective, this model of ITS (Intelligent Transport System) raises several concerns with regard to data protection. This contribution, after a short description of MaaS and ... |
2104.06772 | Anthony Ngo | Anthony Ngo, Max Paul Bauer, Michael Resch | Deep Evaluation Metric: Learning to Evaluate Simulated Radar Point
Clouds for Virtual Testing of Autonomous Driving | 2021 IEEE Radar Conference (IEEE RadarConf 2021) | null | 10.1109/RadarConf2147009.2021.9455235 | null | cs.CV cs.AI eess.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The usage of environment sensor models for virtual testing is a promising
approach to reduce the testing effort of autonomous driving. However, in order
to deduce any statements regarding the performance of an autonomous driving
function based on simulation, the sensor model has to be validated to determine
the discr... | [
{
"created": "Wed, 14 Apr 2021 11:04:50 GMT",
"version": "v1"
},
{
"created": "Mon, 21 Jun 2021 08:30:09 GMT",
"version": "v2"
}
] | 2021-06-22 | [
[
"Ngo",
"Anthony",
""
],
[
"Bauer",
"Max Paul",
""
],
[
"Resch",
"Michael",
""
]
] | The usage of environment sensor models for virtual testing is a promising approach to reduce the testing effort of autonomous driving. However, in order to deduce any statements regarding the performance of an autonomous driving function based on simulation, the sensor model has to be validated to determine the discrep... |
2311.10529 | Yichi Zhang | Yichi Zhang, Shiyao Hu, Sijie Ren, Chen Jiang, Yuan Cheng, Yuan Qi | Enhancing the Reliability of Segment Anything Model for Auto-Prompting
Medical Image Segmentation with Uncertainty Rectification | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Segment Anything Model (SAM) has recently emerged as a groundbreaking
foundation model for prompt-driven image segmentation tasks. However, both the
original SAM and its medical variants require slice-by-slice manual prompting
of target structures, which directly increase the burden for applications.
Despite atte... | [
{
"created": "Fri, 17 Nov 2023 13:49:00 GMT",
"version": "v1"
},
{
"created": "Wed, 13 Dec 2023 04:57:47 GMT",
"version": "v2"
},
{
"created": "Mon, 18 Mar 2024 08:47:03 GMT",
"version": "v3"
}
] | 2024-03-19 | [
[
"Zhang",
"Yichi",
""
],
[
"Hu",
"Shiyao",
""
],
[
"Ren",
"Sijie",
""
],
[
"Jiang",
"Chen",
""
],
[
"Cheng",
"Yuan",
""
],
[
"Qi",
"Yuan",
""
]
] | The Segment Anything Model (SAM) has recently emerged as a groundbreaking foundation model for prompt-driven image segmentation tasks. However, both the original SAM and its medical variants require slice-by-slice manual prompting of target structures, which directly increase the burden for applications. Despite attemp... |
1809.09849 | Richard Torkar | Richard Torkar, Carlo A. Furia, Robert Feldt, Francisco Gomes de
Oliveira Neto, Lucas Gren, Per Lenberg, Neil A. Ernst | A Method to Assess and Argue for Practical Significance in Software
Engineering | 13 pages, 9 figures, 3 tables. Minor rev update | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A key goal of empirical research in software engineering is to assess
practical significance, which answers whether the observed effects of some
compared treatments show a relevant difference in practice in realistic
scenarios. Even though plenty of standard techniques exist to assess
statistical significance, connec... | [
{
"created": "Wed, 26 Sep 2018 08:39:46 GMT",
"version": "v1"
},
{
"created": "Wed, 18 Mar 2020 10:35:12 GMT",
"version": "v2"
},
{
"created": "Fri, 3 Apr 2020 14:50:33 GMT",
"version": "v3"
},
{
"created": "Wed, 29 Apr 2020 14:11:03 GMT",
"version": "v4"
},
{
"cr... | 2020-12-29 | [
[
"Torkar",
"Richard",
""
],
[
"Furia",
"Carlo A.",
""
],
[
"Feldt",
"Robert",
""
],
[
"Neto",
"Francisco Gomes de Oliveira",
""
],
[
"Gren",
"Lucas",
""
],
[
"Lenberg",
"Per",
""
],
[
"Ernst",
"Neil A.",
""
... | A key goal of empirical research in software engineering is to assess practical significance, which answers whether the observed effects of some compared treatments show a relevant difference in practice in realistic scenarios. Even though plenty of standard techniques exist to assess statistical significance, connecti... |
1808.01280 | ShihChung Lo Ph.D. | ShihChung B. Lo, Ph.D., Matthew T. Freedman, M.D., Seong K. Mun,
Ph.D., and Heang-Ping Chan, Ph.D | Geared Rotationally Identical and Invariant Convolutional Neural Network
Systems | 14 pages, 6 figures, 8 tables | null | null | null | cs.NE cs.LG cs.SI stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Theorems and techniques to form different types of transformationally
invariant processing and to produce the same output quantitatively based on
either transformationally invariant operators or symmetric operations have
recently been introduced by the authors. In this study, we further propose to
compose a geared ro... | [
{
"created": "Fri, 3 Aug 2018 02:27:40 GMT",
"version": "v1"
},
{
"created": "Wed, 8 Aug 2018 15:08:37 GMT",
"version": "v2"
},
{
"created": "Fri, 10 Aug 2018 11:26:09 GMT",
"version": "v3"
}
] | 2018-08-13 | [
[
"Lo",
"ShihChung B.",
""
],
[
"D.",
"Ph.",
""
],
[
"Freedman",
"Matthew T.",
""
],
[
"D.",
"M.",
""
],
[
"Mun",
"Seong K.",
""
],
[
"D.",
"Ph.",
""
],
[
"Chan",
"Heang-Ping",
""
],
[
"D",
"Ph.",... | Theorems and techniques to form different types of transformationally invariant processing and to produce the same output quantitatively based on either transformationally invariant operators or symmetric operations have recently been introduced by the authors. In this study, we further propose to compose a geared rota... |
1607.05408 | Matthias Gall\'e | Will Radford, Matthias Galle | Discriminating between similar languages in Twitter using label
propagation | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Identifying the language of social media messages is an important first step
in linguistic processing. Existing models for Twitter focus on content
analysis, which is successful for dissimilar language pairs. We propose a label
propagation approach that takes the social graph of tweet authors into account
as well as ... | [
{
"created": "Tue, 19 Jul 2016 05:38:58 GMT",
"version": "v1"
}
] | 2016-07-20 | [
[
"Radford",
"Will",
""
],
[
"Galle",
"Matthias",
""
]
] | Identifying the language of social media messages is an important first step in linguistic processing. Existing models for Twitter focus on content analysis, which is successful for dissimilar language pairs. We propose a label propagation approach that takes the social graph of tweet authors into account as well as co... |
2209.02101 | Wolfgang Mulzer | Michaela Borzechowski and Wolfgang Mulzer | Unique Sink Orientations of Grids is in Unique End of Potential Line | 8 pages, 5 figures | null | null | null | cs.CG | http://creativecommons.org/licenses/by/4.0/ | The complexity classes Unique End of Potential Line (UEOPL) and its promise
version PUEOPL were introduced in 2018 by Fearnly et al. UEOPL captures search
problems where the instances are promised to have a unique solution. UEOPL
captures total search versions of these promise problems. The promise problems
can be ma... | [
{
"created": "Mon, 5 Sep 2022 19:06:53 GMT",
"version": "v1"
}
] | 2022-09-07 | [
[
"Borzechowski",
"Michaela",
""
],
[
"Mulzer",
"Wolfgang",
""
]
] | The complexity classes Unique End of Potential Line (UEOPL) and its promise version PUEOPL were introduced in 2018 by Fearnly et al. UEOPL captures search problems where the instances are promised to have a unique solution. UEOPL captures total search versions of these promise problems. The promise problems can be made... |
0708.1411 | Sajad Sadough | Sajad Sadough (LSS), Pablo Piantanida (LSS), Pierre Duhamel (LSS) | Achievable Outage Rates with Improved Decoding of Bicm Multiband Ofdm
Under Channel Estimation Errors | null | Dans 40th Asilomar Conference on Signals, Systems, and Computers -
40th Asilomar Conference on Signals, Systems, and Computers, Monterey :
\'Etats-Unis d'Am\'erique (2007) | null | null | cs.NI | null | We consider the decoding of bit interleaved coded modulation (BICM) applied
to multiband OFDM for practical scenarios where only a noisy (possibly very
bad) estimate of the channel is available at the receiver. First, a decoding
metric based on the channel it a posteriori probability density, conditioned on
the chann... | [
{
"created": "Fri, 10 Aug 2007 12:13:51 GMT",
"version": "v1"
}
] | 2007-08-13 | [
[
"Sadough",
"Sajad",
"",
"LSS"
],
[
"Piantanida",
"Pablo",
"",
"LSS"
],
[
"Duhamel",
"Pierre",
"",
"LSS"
]
] | We consider the decoding of bit interleaved coded modulation (BICM) applied to multiband OFDM for practical scenarios where only a noisy (possibly very bad) estimate of the channel is available at the receiver. First, a decoding metric based on the channel it a posteriori probability density, conditioned on the channel... |
2110.00785 | Delano Oliveira | Delano Oliveira, Reydne Bruno, Fernanda Madeiral, Fernando Castor | Evaluating Code Readability and Legibility: An Examination of
Human-centric Studies | null | null | 10.1109/ICSME46990.2020.00041 | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Reading code is an essential activity in software maintenance and evolution.
Several studies with human subjects have investigated how different factors,
such as the employed programming constructs and naming conventions, can impact
code readability, i.e., what makes a program easier or harder to read and
apprehend b... | [
{
"created": "Sat, 2 Oct 2021 11:21:15 GMT",
"version": "v1"
}
] | 2021-10-05 | [
[
"Oliveira",
"Delano",
""
],
[
"Bruno",
"Reydne",
""
],
[
"Madeiral",
"Fernanda",
""
],
[
"Castor",
"Fernando",
""
]
] | Reading code is an essential activity in software maintenance and evolution. Several studies with human subjects have investigated how different factors, such as the employed programming constructs and naming conventions, can impact code readability, i.e., what makes a program easier or harder to read and apprehend by ... |
2103.10631 | Eric Schwenker | Eric Schwenker, Weixin Jiang, Trevor Spreadbury, Nicola Ferrier,
Oliver Cossairt, Maria K. Y. Chan | EXSCLAIM! -- An automated pipeline for the construction of labeled
materials imaging datasets from literature | null | null | null | null | cs.IR cond-mat.mtrl-sci | http://creativecommons.org/licenses/by/4.0/ | Due to recent improvements in image resolution and acquisition speed,
materials microscopy is experiencing an explosion of published imaging data.
The standard publication format, while sufficient for traditional data
ingestion scenarios where a select number of images can be critically examined
and curated manually,... | [
{
"created": "Fri, 19 Mar 2021 04:48:12 GMT",
"version": "v1"
}
] | 2021-03-22 | [
[
"Schwenker",
"Eric",
""
],
[
"Jiang",
"Weixin",
""
],
[
"Spreadbury",
"Trevor",
""
],
[
"Ferrier",
"Nicola",
""
],
[
"Cossairt",
"Oliver",
""
],
[
"Chan",
"Maria K. Y.",
""
]
] | Due to recent improvements in image resolution and acquisition speed, materials microscopy is experiencing an explosion of published imaging data. The standard publication format, while sufficient for traditional data ingestion scenarios where a select number of images can be critically examined and curated manually, i... |
2306.15951 | Zhiyi Zhang | Zhiyi Zhang, Pengfei Zhang, Zhuopin Xu, Qi Wang | Reduce Computational Complexity for Convolutional Layers by Skipping
Zeros | null | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Convolutional neural networks necessitate good algorithms to reduce
complexity, and sufficient utilization of parallel processors for acceleration.
Within convolutional layers, there are three types of operators: convolution
used in forward propagation, deconvolution and dilated-convolution utilized in
backward propa... | [
{
"created": "Wed, 28 Jun 2023 06:21:22 GMT",
"version": "v1"
},
{
"created": "Wed, 12 Jul 2023 08:18:30 GMT",
"version": "v2"
},
{
"created": "Sun, 5 Nov 2023 12:51:53 GMT",
"version": "v3"
}
] | 2023-11-07 | [
[
"Zhang",
"Zhiyi",
""
],
[
"Zhang",
"Pengfei",
""
],
[
"Xu",
"Zhuopin",
""
],
[
"Wang",
"Qi",
""
]
] | Convolutional neural networks necessitate good algorithms to reduce complexity, and sufficient utilization of parallel processors for acceleration. Within convolutional layers, there are three types of operators: convolution used in forward propagation, deconvolution and dilated-convolution utilized in backward propaga... |
0806.0172 | Grenville Croll | David Chadwick | EuSpRIG TEAM work:Tools, Education, Audit, Management | 7 Pages, 1 Figure | Proc. European Spreadsheet Risks Int. Grp. (EuSpRIG) 2003 1-6 ISBN
1 86166 199 1 | null | null | cs.HC cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Research on spreadsheet errors began over fifteen years ago. During that
time, there has been ample evidence demonstrating that spreadsheet errors are
common and nontrivial. Quite simply, spreadsheet error rates are comparable to
error rates in other human cognitive activities and are caused by fundamental
limitation... | [
{
"created": "Sun, 1 Jun 2008 21:01:15 GMT",
"version": "v1"
}
] | 2008-06-03 | [
[
"Chadwick",
"David",
""
]
] | Research on spreadsheet errors began over fifteen years ago. During that time, there has been ample evidence demonstrating that spreadsheet errors are common and nontrivial. Quite simply, spreadsheet error rates are comparable to error rates in other human cognitive activities and are caused by fundamental limitations ... |
2404.14183 | Yuxia Wang | Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem
Shelmanov, Akim Tsvigun, Osama Mohammed Afzal, Tarek Mahmoud, Giovanni
Puccetti, Thomas Arnold, Chenxi Whitehouse, Alham Fikri Aji, Nizar Habash,
Iryna Gurevych, Preslav Nakov | SemEval-2024 Task 8: Multidomain, Multimodel and Multilingual
Machine-Generated Text Detection | 23 pages, 12 tables | Proceedings of the 18th International Workshop on Semantic
Evaluation (SemEval-2024) | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | We present the results and the main findings of SemEval-2024 Task 8:
Multigenerator, Multidomain, and Multilingual Machine-Generated Text Detection.
The task featured three subtasks. Subtask A is a binary classification task
determining whether a text is written by a human or generated by a machine.
This subtask has ... | [
{
"created": "Mon, 22 Apr 2024 13:56:07 GMT",
"version": "v1"
}
] | 2024-04-23 | [
[
"Wang",
"Yuxia",
""
],
[
"Mansurov",
"Jonibek",
""
],
[
"Ivanov",
"Petar",
""
],
[
"Su",
"Jinyan",
""
],
[
"Shelmanov",
"Artem",
""
],
[
"Tsvigun",
"Akim",
""
],
[
"Afzal",
"Osama Mohammed",
""
],
[
... | We present the results and the main findings of SemEval-2024 Task 8: Multigenerator, Multidomain, and Multilingual Machine-Generated Text Detection. The task featured three subtasks. Subtask A is a binary classification task determining whether a text is written by a human or generated by a machine. This subtask has tw... |
2403.06201 | Huanqi Yang | Huanqi Yang, Sijie Ji, Rucheng Wu, Weitao Xu | Are You Being Tracked? Discover the Power of Zero-Shot Trajectory
Tracing with LLMs! | null | null | null | null | cs.CL cs.AI cs.HC cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | There is a burgeoning discussion around the capabilities of Large Language
Models (LLMs) in acting as fundamental components that can be seamlessly
incorporated into Artificial Intelligence of Things (AIoT) to interpret complex
trajectories. This study introduces LLMTrack, a model that illustrates how LLMs
can be lev... | [
{
"created": "Sun, 10 Mar 2024 12:50:35 GMT",
"version": "v1"
}
] | 2024-03-12 | [
[
"Yang",
"Huanqi",
""
],
[
"Ji",
"Sijie",
""
],
[
"Wu",
"Rucheng",
""
],
[
"Xu",
"Weitao",
""
]
] | There is a burgeoning discussion around the capabilities of Large Language Models (LLMs) in acting as fundamental components that can be seamlessly incorporated into Artificial Intelligence of Things (AIoT) to interpret complex trajectories. This study introduces LLMTrack, a model that illustrates how LLMs can be lever... |
2307.02627 | Jacqueline Harding | Jacqueline Harding | Proxy Selection in Transitive Proxy Voting | null | Social Choice and Welfare 58, 69-99 (2022) | 10.1007/s00355-021-01345-8 | null | cs.GT cs.MA econ.GN q-fin.EC | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Transitive proxy voting (or "liquid democracy") is a novel form of collective
decision making, often framed as an attractive hybrid of direct and
representative democracy. Although the ideas behind liquid democracy have
garnered widespread support, there have been relatively few attempts to model
it formally. This pa... | [
{
"created": "Wed, 5 Jul 2023 19:59:06 GMT",
"version": "v1"
}
] | 2023-07-07 | [
[
"Harding",
"Jacqueline",
""
]
] | Transitive proxy voting (or "liquid democracy") is a novel form of collective decision making, often framed as an attractive hybrid of direct and representative democracy. Although the ideas behind liquid democracy have garnered widespread support, there have been relatively few attempts to model it formally. This pape... |
2001.00088 | Andrew Perrault | Andrew Perrault, Fei Fang, Arunesh Sinha, Milind Tambe | AI for Social Impact: Learning and Planning in the Data-to-Deployment
Pipeline | AI Magazine, Winter 2020 | null | 10.1609/aimag.v41i4.5296 | null | cs.CY cs.GT cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With the maturing of AI and multiagent systems research, we have a tremendous
opportunity to direct these advances towards addressing complex societal
problems. In pursuit of this goal of AI for Social Impact, we as AI researchers
must go beyond improvements in computational methodology; it is important to
step out i... | [
{
"created": "Mon, 16 Dec 2019 18:10:56 GMT",
"version": "v1"
},
{
"created": "Sun, 12 Jun 2022 18:23:50 GMT",
"version": "v2"
}
] | 2022-06-14 | [
[
"Perrault",
"Andrew",
""
],
[
"Fang",
"Fei",
""
],
[
"Sinha",
"Arunesh",
""
],
[
"Tambe",
"Milind",
""
]
] | With the maturing of AI and multiagent systems research, we have a tremendous opportunity to direct these advances towards addressing complex societal problems. In pursuit of this goal of AI for Social Impact, we as AI researchers must go beyond improvements in computational methodology; it is important to step out in ... |
cs/0510080 | Joseph Y. Halpern | Peter D. Grunwald and Joseph Y. Halpern | When Ignorance is Bliss | In Proceedings of the Twentieth Conference on Uncertainty in AI,
2004, pp. 226-234 | null | null | null | cs.AI cs.LG | null | It is commonly-accepted wisdom that more information is better, and that
information should never be ignored. Here we argue, using both a Bayesian and a
non-Bayesian analysis, that in some situations you are better off ignoring
information if your uncertainty is represented by a set of probability
measures. These inc... | [
{
"created": "Tue, 25 Oct 2005 22:14:33 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Grunwald",
"Peter D.",
""
],
[
"Halpern",
"Joseph Y.",
""
]
] | It is commonly-accepted wisdom that more information is better, and that information should never be ignored. Here we argue, using both a Bayesian and a non-Bayesian analysis, that in some situations you are better off ignoring information if your uncertainty is represented by a set of probability measures. These inclu... |
1405.1894 | Tillmann Miltzow | Michael Hoffmann, Vincent Kusters, Tillmann Miltzow | Halving Balls in Deterministic Linear Time | null | null | null | null | cs.CG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Let $\D$ be a set of $n$ pairwise disjoint unit balls in $\R^d$ and $P$ the
set of their center points. A hyperplane $\Hy$ is an \emph{$m$-separator} for
$\D$ if each closed halfspace bounded by $\Hy$ contains at least $m$ points
from $P$. This generalizes the notion of halving hyperplanes, which correspond
to $n/2$-... | [
{
"created": "Thu, 8 May 2014 11:47:51 GMT",
"version": "v1"
}
] | 2014-05-09 | [
[
"Hoffmann",
"Michael",
""
],
[
"Kusters",
"Vincent",
""
],
[
"Miltzow",
"Tillmann",
""
]
] | Let $\D$ be a set of $n$ pairwise disjoint unit balls in $\R^d$ and $P$ the set of their center points. A hyperplane $\Hy$ is an \emph{$m$-separator} for $\D$ if each closed halfspace bounded by $\Hy$ contains at least $m$ points from $P$. This generalizes the notion of halving hyperplanes, which correspond to $n/2$-se... |
1705.02116 | Shuoyao Wang | Shuoyao Wang, Suzhi Bi, Ying Jun (Angela) Zhang, Jianwei Huang | Electrical Vehicle Charging Station Profit Maximization: Admission,
Pricing, and Online Scheduling | This paper has been submitted to IEEE Transactions on Sustainable
Energy for potential journal publication | null | null | null | cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The rapid emergence of electric vehicles (EVs) demands an advanced
infrastructure of publicly accessible charging stations that provide efficient
charging services. In this paper, we propose a new charging station operation
mechanism, the JoAP, which jointly optimizes the EV admission control, pricing,
and charging s... | [
{
"created": "Fri, 5 May 2017 07:59:36 GMT",
"version": "v1"
},
{
"created": "Thu, 7 Sep 2017 08:18:08 GMT",
"version": "v2"
}
] | 2017-09-08 | [
[
"Wang",
"Shuoyao",
"",
"Angela"
],
[
"Bi",
"Suzhi",
"",
"Angela"
],
[
"Jun",
"Ying",
"",
"Angela"
],
[
"Zhang",
"",
""
],
[
"Huang",
"Jianwei",
""
]
] | The rapid emergence of electric vehicles (EVs) demands an advanced infrastructure of publicly accessible charging stations that provide efficient charging services. In this paper, we propose a new charging station operation mechanism, the JoAP, which jointly optimizes the EV admission control, pricing, and charging sch... |
2012.08740 | Yuhang Yao | Yuhang Yao, Carlee Joe-Wong | Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural
Networks | AAAI 2021 | AAAI 2021: 4608-4616 | null | null | cs.LG cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the problem of clustering nodes in a dynamic graph, where the
connections between nodes and nodes' cluster memberships may change over time,
e.g., due to community migration. We first propose a dynamic stochastic block
model that captures these changes, and a simple decay-based clustering
algorithm that clus... | [
{
"created": "Wed, 16 Dec 2020 04:31:19 GMT",
"version": "v1"
},
{
"created": "Tue, 22 Jun 2021 20:13:53 GMT",
"version": "v2"
}
] | 2021-06-24 | [
[
"Yao",
"Yuhang",
""
],
[
"Joe-Wong",
"Carlee",
""
]
] | We study the problem of clustering nodes in a dynamic graph, where the connections between nodes and nodes' cluster memberships may change over time, e.g., due to community migration. We first propose a dynamic stochastic block model that captures these changes, and a simple decay-based clustering algorithm that cluste... |
1009.5346 | Murugesan Kuttikrishnan | Murugesan Kuttikrishnan | A Novel Approach for Cardiac Disease Prediction and Classification Using
Intelligent Agents | 8 pages 2 figures and 7 tables | (IJCSIS) International Journal of Computer Science and Information
Security, Vol. 8, No. 5, August 2010 | null | null | cs.MA cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The goal is to develop a novel approach for cardiac disease prediction and
diagnosis using intelligent agents. Initially the symptoms are preprocessed
using filter and wrapper based agents. The filter removes the missing or
irrelevant symptoms. Wrapper is used to extract the data in the data set
according to the thre... | [
{
"created": "Mon, 27 Sep 2010 18:20:56 GMT",
"version": "v1"
}
] | 2010-09-28 | [
[
"Kuttikrishnan",
"Murugesan",
""
]
] | The goal is to develop a novel approach for cardiac disease prediction and diagnosis using intelligent agents. Initially the symptoms are preprocessed using filter and wrapper based agents. The filter removes the missing or irrelevant symptoms. Wrapper is used to extract the data in the data set according to the thresh... |
2302.05706 | Wenxuan Wang | Wenxuan Wang, Jen-tse Huang, Weibin Wu, Jianping Zhang, Yizhan Huang,
Shuqing Li, Pinjia He, Michael Lyu | MTTM: Metamorphic Testing for Textual Content Moderation Software | Accepted by ICSE 2023 | null | null | null | cs.CL cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The exponential growth of social media platforms such as Twitter and Facebook
has revolutionized textual communication and textual content publication in
human society. However, they have been increasingly exploited to propagate
toxic content, such as hate speech, malicious advertisement, and pornography,
which can l... | [
{
"created": "Sat, 11 Feb 2023 14:44:39 GMT",
"version": "v1"
}
] | 2023-02-14 | [
[
"Wang",
"Wenxuan",
""
],
[
"Huang",
"Jen-tse",
""
],
[
"Wu",
"Weibin",
""
],
[
"Zhang",
"Jianping",
""
],
[
"Huang",
"Yizhan",
""
],
[
"Li",
"Shuqing",
""
],
[
"He",
"Pinjia",
""
],
[
"Lyu",
"Mi... | The exponential growth of social media platforms such as Twitter and Facebook has revolutionized textual communication and textual content publication in human society. However, they have been increasingly exploited to propagate toxic content, such as hate speech, malicious advertisement, and pornography, which can lea... |
2312.03173 | Jaromir Savelka | Jacob Doughty, Zipiao Wan, Anishka Bompelli, Jubahed Qayum, Taozhi
Wang, Juran Zhang, Yujia Zheng, Aidan Doyle, Pragnya Sridhar, Arav Agarwal,
Christopher Bogart, Eric Keylor, Can Kultur, Jaromir Savelka, Majd Sakr | A Comparative Study of AI-Generated (GPT-4) and Human-crafted MCQs in
Programming Education | null | null | 10.1145/3636243.3636256 | null | cs.CY cs.AI cs.CL | http://creativecommons.org/licenses/by/4.0/ | There is a constant need for educators to develop and maintain effective
up-to-date assessments. While there is a growing body of research in computing
education on utilizing large language models (LLMs) in generation and
engagement with coding exercises, the use of LLMs for generating programming
MCQs has not been e... | [
{
"created": "Tue, 5 Dec 2023 22:29:43 GMT",
"version": "v1"
}
] | 2023-12-07 | [
[
"Doughty",
"Jacob",
""
],
[
"Wan",
"Zipiao",
""
],
[
"Bompelli",
"Anishka",
""
],
[
"Qayum",
"Jubahed",
""
],
[
"Wang",
"Taozhi",
""
],
[
"Zhang",
"Juran",
""
],
[
"Zheng",
"Yujia",
""
],
[
"Doyle",... | There is a constant need for educators to develop and maintain effective up-to-date assessments. While there is a growing body of research in computing education on utilizing large language models (LLMs) in generation and engagement with coding exercises, the use of LLMs for generating programming MCQs has not been ext... |
2210.05896 | Zhijie Wang | Shuangzhi Li, Zhijie Wang, Felix Juefei-Xu, Qing Guo, Xingyu Li and
Lei Ma | Common Corruption Robustness of Point Cloud Detectors: Benchmark and
Enhancement | 16 pages, 6 figures | null | null | null | cs.CV cs.LG cs.RO | http://creativecommons.org/licenses/by/4.0/ | Object detection through LiDAR-based point cloud has recently been important
in autonomous driving. Although achieving high accuracy on public benchmarks,
the state-of-the-art detectors may still go wrong and cause a heavy loss due to
the widespread corruptions in the real world like rain, snow, sensor noise,
etc. Ne... | [
{
"created": "Wed, 12 Oct 2022 03:23:35 GMT",
"version": "v1"
}
] | 2022-10-13 | [
[
"Li",
"Shuangzhi",
""
],
[
"Wang",
"Zhijie",
""
],
[
"Juefei-Xu",
"Felix",
""
],
[
"Guo",
"Qing",
""
],
[
"Li",
"Xingyu",
""
],
[
"Ma",
"Lei",
""
]
] | Object detection through LiDAR-based point cloud has recently been important in autonomous driving. Although achieving high accuracy on public benchmarks, the state-of-the-art detectors may still go wrong and cause a heavy loss due to the widespread corruptions in the real world like rain, snow, sensor noise, etc. Neve... |
1012.4870 | Ying Ding | Erjia Yan, Ying Ding (School of Library and Information Science,
Indiana University, Bloomington, IN, United States) | Discovering author impact: A PageRank perspective | 17 pages, 5 figures | null | null | null | cs.DL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This article provides an alternative perspective for measuring author impact
by applying PageRank algorithm to a coauthorship network. A weighted PageRank
algorithm considering citation and coauthorship network topology is proposed.
We test this algorithm under different damping factors by evaluating author
impact in... | [
{
"created": "Wed, 22 Dec 2010 03:05:20 GMT",
"version": "v1"
}
] | 2010-12-23 | [
[
"Yan",
"Erjia",
"",
"School of Library and Information Science,\n Indiana University, Bloomington, IN, United States"
],
[
"Ding",
"Ying",
"",
"School of Library and Information Science,\n Indiana University, Bloomington, IN, United States"
]
] | This article provides an alternative perspective for measuring author impact by applying PageRank algorithm to a coauthorship network. A weighted PageRank algorithm considering citation and coauthorship network topology is proposed. We test this algorithm under different damping factors by evaluating author impact in t... |
2206.07875 | Risheng Liu | Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang and Yixuan Zhang | Optimization-Derived Learning with Essential Convergence Analysis of
Training and Hyper-training | Accepted by ICML 2022 | null | null | null | cs.LG | http://creativecommons.org/licenses/by-sa/4.0/ | Recently, Optimization-Derived Learning (ODL) has attracted attention from
learning and vision areas, which designs learning models from the perspective
of optimization. However, previous ODL approaches regard the training and
hyper-training procedures as two separated stages, meaning that the
hyper-training variable... | [
{
"created": "Thu, 16 Jun 2022 01:50:25 GMT",
"version": "v1"
}
] | 2022-06-17 | [
[
"Liu",
"Risheng",
""
],
[
"Liu",
"Xuan",
""
],
[
"Zeng",
"Shangzhi",
""
],
[
"Zhang",
"Jin",
""
],
[
"Zhang",
"Yixuan",
""
]
] | Recently, Optimization-Derived Learning (ODL) has attracted attention from learning and vision areas, which designs learning models from the perspective of optimization. However, previous ODL approaches regard the training and hyper-training procedures as two separated stages, meaning that the hyper-training variables ... |
1710.11381 | Yannic Kilcher | Yannic Kilcher, Aurelien Lucchi, Thomas Hofmann | Semantic Interpolation in Implicit Models | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In implicit models, one often interpolates between sampled points in latent
space. As we show in this paper, care needs to be taken to match-up the
distributional assumptions on code vectors with the geometry of the
interpolating paths. Otherwise, typical assumptions about the quality and
semantics of in-between poin... | [
{
"created": "Tue, 31 Oct 2017 09:11:17 GMT",
"version": "v1"
},
{
"created": "Wed, 3 Jan 2018 08:56:11 GMT",
"version": "v2"
},
{
"created": "Fri, 2 Feb 2018 09:56:08 GMT",
"version": "v3"
}
] | 2018-02-05 | [
[
"Kilcher",
"Yannic",
""
],
[
"Lucchi",
"Aurelien",
""
],
[
"Hofmann",
"Thomas",
""
]
] | In implicit models, one often interpolates between sampled points in latent space. As we show in this paper, care needs to be taken to match-up the distributional assumptions on code vectors with the geometry of the interpolating paths. Otherwise, typical assumptions about the quality and semantics of in-between points... |
2205.06632 | In\^es Terrucha | In\^es Terrucha, Elias Fern\'andez Domingos, Francisco C. Santos,
Pieter Simoens and Tom Lenaerts | The art of compensation: how hybrid teams solve collective risk dilemmas | 8 pages, 5 figures, accepted at workshop ALA 2022 (AAMAS 2022) | null | null | null | cs.CY | http://creativecommons.org/licenses/by/4.0/ | It is widely known how the human ability to cooperate has influenced the
thriving of our species. However, as we move towards a hybrid human-machine
future, it is still unclear how the introduction of AI agents in our social
interactions will affect this cooperative capacity. Within the context of the
one-shot collec... | [
{
"created": "Fri, 13 May 2022 13:23:42 GMT",
"version": "v1"
}
] | 2022-05-16 | [
[
"Terrucha",
"Inês",
""
],
[
"Domingos",
"Elias Fernández",
""
],
[
"Santos",
"Francisco C.",
""
],
[
"Simoens",
"Pieter",
""
],
[
"Lenaerts",
"Tom",
""
]
] | It is widely known how the human ability to cooperate has influenced the thriving of our species. However, as we move towards a hybrid human-machine future, it is still unclear how the introduction of AI agents in our social interactions will affect this cooperative capacity. Within the context of the one-shot collecti... |
2112.04163 | Jiayi Guo | Jiayi Guo, Chaoqun Du, Jiangshan Wang, Huijuan Huang, Pengfei Wan, Gao
Huang | Assessing a Single Image in Reference-Guided Image Synthesis | Accepted by AAAI 2022 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Assessing the performance of Generative Adversarial Networks (GANs) has been
an important topic due to its practical significance. Although several
evaluation metrics have been proposed, they generally assess the quality of the
whole generated image distribution. For Reference-guided Image Synthesis (RIS)
tasks, i.e.... | [
{
"created": "Wed, 8 Dec 2021 08:22:14 GMT",
"version": "v1"
}
] | 2021-12-09 | [
[
"Guo",
"Jiayi",
""
],
[
"Du",
"Chaoqun",
""
],
[
"Wang",
"Jiangshan",
""
],
[
"Huang",
"Huijuan",
""
],
[
"Wan",
"Pengfei",
""
],
[
"Huang",
"Gao",
""
]
] | Assessing the performance of Generative Adversarial Networks (GANs) has been an important topic due to its practical significance. Although several evaluation metrics have been proposed, they generally assess the quality of the whole generated image distribution. For Reference-guided Image Synthesis (RIS) tasks, i.e., ... |
1910.10451 | Manuel Steve Mbankeu Patchou | Manuel Patchou and Benjamin Sliwa and Christian Wietfeld | Unmanned Aerial Vehicles in Logistics: Efficiency Gains and
Communication Performance of Hybrid Combinations of Ground and Aerial
Vehicles | null | null | null | null | cs.NI eess.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Unmanned Aerial Vehicles (UAVs) have drastically gained popularity in various
Intelligent Transportation System (ITS) applications to improve the safety and
efficiency of transportation systems. In this context, the combination of
ground vehicles, such as delivery trucks, with drones to assist in the last
mile pick-u... | [
{
"created": "Wed, 23 Oct 2019 10:35:42 GMT",
"version": "v1"
},
{
"created": "Thu, 7 Nov 2019 14:42:37 GMT",
"version": "v2"
}
] | 2019-11-11 | [
[
"Patchou",
"Manuel",
""
],
[
"Sliwa",
"Benjamin",
""
],
[
"Wietfeld",
"Christian",
""
]
] | Unmanned Aerial Vehicles (UAVs) have drastically gained popularity in various Intelligent Transportation System (ITS) applications to improve the safety and efficiency of transportation systems. In this context, the combination of ground vehicles, such as delivery trucks, with drones to assist in the last mile pick-up ... |
0712.2638 | Steve Oudot | Fr\'ed\'eric Chazal (INRIA Sophia Antipolis), Steve Oudot (INRIA
Sophia Antipolis) | Towards Persistence-Based Reconstruction in Euclidean Spaces | null | null | null | null | cs.CG math.AT | null | Manifold reconstruction has been extensively studied for the last decade or
so, especially in two and three dimensions. Recently, significant improvements
were made in higher dimensions, leading to new methods to reconstruct large
classes of compact subsets of Euclidean space $\R^d$. However, the complexities
of thes... | [
{
"created": "Mon, 17 Dec 2007 06:30:08 GMT",
"version": "v1"
},
{
"created": "Tue, 18 Dec 2007 10:26:34 GMT",
"version": "v2"
}
] | 2007-12-18 | [
[
"Chazal",
"Frédéric",
"",
"INRIA Sophia Antipolis"
],
[
"Oudot",
"Steve",
"",
"INRIA\n Sophia Antipolis"
]
] | Manifold reconstruction has been extensively studied for the last decade or so, especially in two and three dimensions. Recently, significant improvements were made in higher dimensions, leading to new methods to reconstruct large classes of compact subsets of Euclidean space $\R^d$. However, the complexities of these ... |
2406.10415 | Terrence Neumann | Terrence Neumann and Bryan Jones | PRISM: A Design Framework for Open-Source Foundation Model Safety | null | null | null | null | cs.CY cs.AI cs.SE | http://creativecommons.org/licenses/by/4.0/ | The rapid advancement of open-source foundation models has brought
transparency and accessibility to this groundbreaking technology. However, this
openness has also enabled the development of highly-capable, unsafe models, as
exemplified by recent instances such as WormGPT and FraudGPT, which are
specifically designe... | [
{
"created": "Fri, 14 Jun 2024 21:26:15 GMT",
"version": "v1"
}
] | 2024-06-18 | [
[
"Neumann",
"Terrence",
""
],
[
"Jones",
"Bryan",
""
]
] | The rapid advancement of open-source foundation models has brought transparency and accessibility to this groundbreaking technology. However, this openness has also enabled the development of highly-capable, unsafe models, as exemplified by recent instances such as WormGPT and FraudGPT, which are specifically designed ... |
2205.01818 | Ziyi Yang | Ziyi Yang, Yuwei Fang, Chenguang Zhu, Reid Pryzant, Dongdong Chen, Yu
Shi, Yichong Xu, Yao Qian, Mei Gao, Yi-Ling Chen, Liyang Lu, Yujia Xie,
Robert Gmyr, Noel Codella, Naoyuki Kanda, Bin Xiao, Lu Yuan, Takuya Yoshioka,
Michael Zeng, Xuedong Huang | i-Code: An Integrative and Composable Multimodal Learning Framework | null | null | null | null | cs.LG cs.AI cs.CL cs.CV eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Human intelligence is multimodal; we integrate visual, linguistic, and
acoustic signals to maintain a holistic worldview. Most current pretraining
methods, however, are limited to one or two modalities. We present i-Code, a
self-supervised pretraining framework where users may flexibly combine the
modalities of visio... | [
{
"created": "Tue, 3 May 2022 23:38:50 GMT",
"version": "v1"
},
{
"created": "Thu, 5 May 2022 06:35:23 GMT",
"version": "v2"
}
] | 2022-05-06 | [
[
"Yang",
"Ziyi",
""
],
[
"Fang",
"Yuwei",
""
],
[
"Zhu",
"Chenguang",
""
],
[
"Pryzant",
"Reid",
""
],
[
"Chen",
"Dongdong",
""
],
[
"Shi",
"Yu",
""
],
[
"Xu",
"Yichong",
""
],
[
"Qian",
"Yao",
... | Human intelligence is multimodal; we integrate visual, linguistic, and acoustic signals to maintain a holistic worldview. Most current pretraining methods, however, are limited to one or two modalities. We present i-Code, a self-supervised pretraining framework where users may flexibly combine the modalities of vision,... |
1007.1593 | Yakov Nekrich | Yakov Nekrich | A Fast Algorithm for Three-Dimensional Layers of Maxima Problem | null | null | null | null | cs.DS cs.CG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We show that the three-dimensional layers-of-maxima problem can be solved in
$o(n\log n)$ time in the word RAM model. Our algorithm runs in $O(n(\log \log
n)^3)$ deterministic time or $O(n(\log\log n)^2)$ expected time and uses O(n)
space. We also describe an algorithm that uses optimal O(n) space and solves
the thre... | [
{
"created": "Fri, 9 Jul 2010 13:45:05 GMT",
"version": "v1"
},
{
"created": "Tue, 3 May 2011 13:08:33 GMT",
"version": "v2"
}
] | 2011-05-04 | [
[
"Nekrich",
"Yakov",
""
]
] | We show that the three-dimensional layers-of-maxima problem can be solved in $o(n\log n)$ time in the word RAM model. Our algorithm runs in $O(n(\log \log n)^3)$ deterministic time or $O(n(\log\log n)^2)$ expected time and uses O(n) space. We also describe an algorithm that uses optimal O(n) space and solves the three-... |
2103.09191 | Luigi Antonio Lavazza | Luigi Lavazza and Sandro Morasca | Understanding and Modeling AI-Intensive System Development | null | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Developers of AI-Intensive Systems--i.e., systems that involve both
"traditional" software and Artificial Intelligence"are recognizing the need to
organize development systematically and use engineered methods and tools. Since
an AI-Intensive System (AIIS) relies heavily on software, it is expected that
Software Engi... | [
{
"created": "Tue, 16 Mar 2021 16:42:45 GMT",
"version": "v1"
}
] | 2021-03-17 | [
[
"Lavazza",
"Luigi",
""
],
[
"Morasca",
"Sandro",
""
]
] | Developers of AI-Intensive Systems--i.e., systems that involve both "traditional" software and Artificial Intelligence"are recognizing the need to organize development systematically and use engineered methods and tools. Since an AI-Intensive System (AIIS) relies heavily on software, it is expected that Software Engine... |
2408.01091 | Jin Gao | Jin Gao, Lei Gan, Yuankai Li, Yixin Ye, Dequan Wang | Dissecting Dissonance: Benchmarking Large Multimodal Models Against
Self-Contradictory Instructions | Accepted by the 18th European Conference on Computer Vision ECCV 2024 | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large multimodal models (LMMs) excel in adhering to human instructions.
However, self-contradictory instructions may arise due to the increasing trend
of multimodal interaction and context length, which is challenging for language
beginners and vulnerable populations. We introduce the Self-Contradictory
Instructions ... | [
{
"created": "Fri, 2 Aug 2024 08:11:11 GMT",
"version": "v1"
},
{
"created": "Mon, 5 Aug 2024 06:56:44 GMT",
"version": "v2"
}
] | 2024-08-06 | [
[
"Gao",
"Jin",
""
],
[
"Gan",
"Lei",
""
],
[
"Li",
"Yuankai",
""
],
[
"Ye",
"Yixin",
""
],
[
"Wang",
"Dequan",
""
]
] | Large multimodal models (LMMs) excel in adhering to human instructions. However, self-contradictory instructions may arise due to the increasing trend of multimodal interaction and context length, which is challenging for language beginners and vulnerable populations. We introduce the Self-Contradictory Instructions be... |
1509.01756 | Xueru Li | Xueru Li, Emil Bj\"ornson, Erik G. Larsson, Shidong Zhou, Jing Wang | A Multi-cell MMSE Detector for Massive MIMO Systems and New Large System
Analysis | 6 pages, 3 figures, accepted by Globecom 2015 | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, a new multi-cell MMSE detector is proposed for massive MIMO
systems. Let $K$ and $B$ denote the number of users in each cell and the number
of available pilot sequences in the network, respectively, with $B = \beta K$,
where $\beta \ge 1 $ is called the pilot reuse factor. The novelty of the
multi-cell... | [
{
"created": "Sun, 6 Sep 2015 02:06:27 GMT",
"version": "v1"
}
] | 2015-09-08 | [
[
"Li",
"Xueru",
""
],
[
"Björnson",
"Emil",
""
],
[
"Larsson",
"Erik G.",
""
],
[
"Zhou",
"Shidong",
""
],
[
"Wang",
"Jing",
""
]
] | In this paper, a new multi-cell MMSE detector is proposed for massive MIMO systems. Let $K$ and $B$ denote the number of users in each cell and the number of available pilot sequences in the network, respectively, with $B = \beta K$, where $\beta \ge 1 $ is called the pilot reuse factor. The novelty of the multi-cell M... |
2203.05683 | Mayur Mallya | Mayur Mallya and Ghassan Hamarneh | Deep Multimodal Guidance for Medical Image Classification | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Medical imaging is a cornerstone of therapy and diagnosis in modern medicine.
However, the choice of imaging modality for a particular theranostic task
typically involves trade-offs between the feasibility of using a particular
modality (e.g., short wait times, low cost, fast acquisition, reduced
radiation/invasivene... | [
{
"created": "Thu, 10 Mar 2022 23:50:08 GMT",
"version": "v1"
},
{
"created": "Thu, 21 Jul 2022 15:41:26 GMT",
"version": "v2"
}
] | 2022-07-22 | [
[
"Mallya",
"Mayur",
""
],
[
"Hamarneh",
"Ghassan",
""
]
] | Medical imaging is a cornerstone of therapy and diagnosis in modern medicine. However, the choice of imaging modality for a particular theranostic task typically involves trade-offs between the feasibility of using a particular modality (e.g., short wait times, low cost, fast acquisition, reduced radiation/invasiveness... |
2203.14531 | Ye Zheng | Xiaoke Jiang, Donghai Li, Hao Chen, Ye Zheng, Rui Zhao and Liwei Wu | Uni6D: A Unified CNN Framework without Projection Breakdown for 6D Pose
Estimation | CVPR2022 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | As RGB-D sensors become more affordable, using RGB-D images to obtain
high-accuracy 6D pose estimation results becomes a better option.
State-of-the-art approaches typically use different backbones to extract
features for RGB and depth images. They use a 2D CNN for RGB images and a
per-pixel point cloud network for d... | [
{
"created": "Mon, 28 Mar 2022 07:05:27 GMT",
"version": "v1"
},
{
"created": "Tue, 5 Apr 2022 04:04:54 GMT",
"version": "v2"
}
] | 2022-04-06 | [
[
"Jiang",
"Xiaoke",
""
],
[
"Li",
"Donghai",
""
],
[
"Chen",
"Hao",
""
],
[
"Zheng",
"Ye",
""
],
[
"Zhao",
"Rui",
""
],
[
"Wu",
"Liwei",
""
]
] | As RGB-D sensors become more affordable, using RGB-D images to obtain high-accuracy 6D pose estimation results becomes a better option. State-of-the-art approaches typically use different backbones to extract features for RGB and depth images. They use a 2D CNN for RGB images and a per-pixel point cloud network for dep... |
1108.3525 | Jason Corso | Yingjie Miao and Jason J. Corso | Hamiltonian Streamline Guided Feature Extraction with Applications to
Face Detection | null | null | null | null | cs.CV math.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a new feature extraction method based on two dynamical systems
induced by intensity landscape: the negative gradient system and the
Hamiltonian system. We build features based on the Hamiltonian streamlines.
These features contain nice global topological information about the intensity
landscape, and can b... | [
{
"created": "Wed, 17 Aug 2011 17:06:41 GMT",
"version": "v1"
}
] | 2011-08-18 | [
[
"Miao",
"Yingjie",
""
],
[
"Corso",
"Jason J.",
""
]
] | We propose a new feature extraction method based on two dynamical systems induced by intensity landscape: the negative gradient system and the Hamiltonian system. We build features based on the Hamiltonian streamlines. These features contain nice global topological information about the intensity landscape, and can be ... |
1910.06813 | Anindya Sarkar | Anindya Sarkar, Anirudh Sunder Raj, Raghu Sesha Iyengar | ODE guided Neural Data Augmentation Techniques for Time Series Data and
its Benefits on Robustness | 8 pages, 5 figures, International Conference on Machine Learning and
Applications | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Exploring adversarial attack vectors and studying their effects on machine
learning algorithms has been of interest to researchers. Deep neural networks
working with time series data have received lesser interest compared to their
image counterparts in this context. In a recent finding, it has been revealed
that curr... | [
{
"created": "Tue, 15 Oct 2019 14:37:18 GMT",
"version": "v1"
},
{
"created": "Thu, 2 Jul 2020 10:31:48 GMT",
"version": "v2"
},
{
"created": "Sun, 27 Sep 2020 17:53:53 GMT",
"version": "v3"
}
] | 2020-09-29 | [
[
"Sarkar",
"Anindya",
""
],
[
"Raj",
"Anirudh Sunder",
""
],
[
"Iyengar",
"Raghu Sesha",
""
]
] | Exploring adversarial attack vectors and studying their effects on machine learning algorithms has been of interest to researchers. Deep neural networks working with time series data have received lesser interest compared to their image counterparts in this context. In a recent finding, it has been revealed that curren... |
2106.13731 | Nestor Demeure | Less Wright and Nestor Demeure | Ranger21: a synergistic deep learning optimizer | for associated code, see https://github.com/lessw2020/Ranger21 | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | As optimizers are critical to the performances of neural networks, every year
a large number of papers innovating on the subject are published. However,
while most of these publications provide incremental improvements to existing
algorithms, they tend to be presented as new optimizers rather than composable
algorith... | [
{
"created": "Fri, 25 Jun 2021 16:07:59 GMT",
"version": "v1"
},
{
"created": "Sat, 7 Aug 2021 01:18:28 GMT",
"version": "v2"
}
] | 2021-08-10 | [
[
"Wright",
"Less",
""
],
[
"Demeure",
"Nestor",
""
]
] | As optimizers are critical to the performances of neural networks, every year a large number of papers innovating on the subject are published. However, while most of these publications provide incremental improvements to existing algorithms, they tend to be presented as new optimizers rather than composable algorithms... |
1903.00620 | Jie Li | Jie Li, Yu Liu, Dong Gong, Qinfeng Shi, Xia Yuan, Chunxia Zhao, Ian
Reid | RGBD Based Dimensional Decomposition Residual Network for 3D Semantic
Scene Completion | CVPR2019 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | RGB images differentiate from depth images as they carry more details about
the color and texture information, which can be utilized as a vital
complementary to depth for boosting the performance of 3D semantic scene
completion (SSC). SSC is composed of 3D shape completion (SC) and semantic
scene labeling while most ... | [
{
"created": "Sat, 2 Mar 2019 04:14:31 GMT",
"version": "v1"
},
{
"created": "Wed, 1 May 2019 03:54:34 GMT",
"version": "v2"
}
] | 2019-05-02 | [
[
"Li",
"Jie",
""
],
[
"Liu",
"Yu",
""
],
[
"Gong",
"Dong",
""
],
[
"Shi",
"Qinfeng",
""
],
[
"Yuan",
"Xia",
""
],
[
"Zhao",
"Chunxia",
""
],
[
"Reid",
"Ian",
""
]
] | RGB images differentiate from depth images as they carry more details about the color and texture information, which can be utilized as a vital complementary to depth for boosting the performance of 3D semantic scene completion (SSC). SSC is composed of 3D shape completion (SC) and semantic scene labeling while most of... |
2204.04960 | Adil Erzin I | Adil Erzin, Roman Plotnikov, Ilya Ladygin | Constrained Shortest Path and Hierarchical Structures | null | null | null | null | cs.DS cs.DM | http://creativecommons.org/licenses/by-nc-nd/4.0/ | The Constraint Shortest Path (CSP) problem is as follows. An $n$-vertex graph
is given, each edge/arc assigned two weights. Let us call them "cost" and
"length" for definiteness. Finding a min-cost upper-bounded length path between
a given pair of vertices is required. The problem is NP-hard even when the
lengths of ... | [
{
"created": "Mon, 11 Apr 2022 09:13:43 GMT",
"version": "v1"
}
] | 2022-04-12 | [
[
"Erzin",
"Adil",
""
],
[
"Plotnikov",
"Roman",
""
],
[
"Ladygin",
"Ilya",
""
]
] | The Constraint Shortest Path (CSP) problem is as follows. An $n$-vertex graph is given, each edge/arc assigned two weights. Let us call them "cost" and "length" for definiteness. Finding a min-cost upper-bounded length path between a given pair of vertices is required. The problem is NP-hard even when the lengths of al... |
1908.02723 | Ian Fox | Ian Fox and Jenna Wiens | Advocacy Learning: Learning through Competition and Class-Conditional
Representations | Accepted IJCAI 2019 | null | null | null | cs.LG cs.CV stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce advocacy learning, a novel supervised training scheme for
attention-based classification problems. Advocacy learning relies on a
framework consisting of two connected networks: 1) $N$ Advocates (one for each
class), each of which outputs an argument in the form of an attention map over
the input, and 2) ... | [
{
"created": "Wed, 7 Aug 2019 16:55:44 GMT",
"version": "v1"
}
] | 2019-08-08 | [
[
"Fox",
"Ian",
""
],
[
"Wiens",
"Jenna",
""
]
] | We introduce advocacy learning, a novel supervised training scheme for attention-based classification problems. Advocacy learning relies on a framework consisting of two connected networks: 1) $N$ Advocates (one for each class), each of which outputs an argument in the form of an attention map over the input, and 2) a ... |
2003.02576 | Antoine Amarilli | Antoine Amarilli, Pierre Bourhis, Stefan Mengel, Matthias Niewerth | Constant-Delay Enumeration for Nondeterministic Document Spanners | 29 pages. Extended version of arXiv:1807.09320. Integrates all
corrections following reviewer feedback. Outside of some minor formatting
differences and tweaks, this paper is the same as the paper to appear in the
ACM TODS journal | null | 10.1145/3436487 | null | cs.DB cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the information extraction framework known as document spanners,
and study the problem of efficiently computing the results of the extraction
from an input document, where the extraction task is described as a sequential
variable-set automaton (VA). We pose this problem in the setting of enumeration
algor... | [
{
"created": "Thu, 5 Mar 2020 12:49:56 GMT",
"version": "v1"
},
{
"created": "Fri, 25 Sep 2020 07:48:10 GMT",
"version": "v2"
},
{
"created": "Mon, 7 Dec 2020 13:51:51 GMT",
"version": "v3"
}
] | 2023-09-06 | [
[
"Amarilli",
"Antoine",
""
],
[
"Bourhis",
"Pierre",
""
],
[
"Mengel",
"Stefan",
""
],
[
"Niewerth",
"Matthias",
""
]
] | We consider the information extraction framework known as document spanners, and study the problem of efficiently computing the results of the extraction from an input document, where the extraction task is described as a sequential variable-set automaton (VA). We pose this problem in the setting of enumeration algorit... |
2204.01855 | Shima Khoshraftar | Shima Khoshraftar, Aijun An | A Survey on Graph Representation Learning Methods | null | null | null | null | cs.LG cs.SI | http://creativecommons.org/publicdomain/zero/1.0/ | Graphs representation learning has been a very active research area in recent
years. The goal of graph representation learning is to generate graph
representation vectors that capture the structure and features of large graphs
accurately. This is especially important because the quality of the graph
representation ve... | [
{
"created": "Mon, 4 Apr 2022 21:18:48 GMT",
"version": "v1"
},
{
"created": "Wed, 15 Jun 2022 17:26:31 GMT",
"version": "v2"
}
] | 2022-06-16 | [
[
"Khoshraftar",
"Shima",
""
],
[
"An",
"Aijun",
""
]
] | Graphs representation learning has been a very active research area in recent years. The goal of graph representation learning is to generate graph representation vectors that capture the structure and features of large graphs accurately. This is especially important because the quality of the graph representation vect... |
2310.10917 | Boqun Zhao | Boqun Zhao, Chongjun Ouyang, Yuanwei Liu, Xingqi Zhang, H. Vincent
Poor | Modeling and Analysis of Near-Field ISAC | Accepted by IEEE Journal of Selected Topics in Signal Processing | null | 10.1109/JSTSP.2024.3386054 | null | cs.IT eess.SP math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | As the technical trends for the next-generation wireless network
significantly extend the near-field region, a performance reevaluation of
integrated sensing and communications (ISAC) with an appropriate channel model
to account for the effects introduced by the near field becomes essential. In
this paper, a near-fie... | [
{
"created": "Tue, 17 Oct 2023 01:25:23 GMT",
"version": "v1"
},
{
"created": "Wed, 18 Oct 2023 20:05:53 GMT",
"version": "v2"
},
{
"created": "Thu, 30 Nov 2023 15:17:27 GMT",
"version": "v3"
},
{
"created": "Fri, 12 Apr 2024 23:26:36 GMT",
"version": "v4"
}
] | 2024-04-16 | [
[
"Zhao",
"Boqun",
""
],
[
"Ouyang",
"Chongjun",
""
],
[
"Liu",
"Yuanwei",
""
],
[
"Zhang",
"Xingqi",
""
],
[
"Poor",
"H. Vincent",
""
]
] | As the technical trends for the next-generation wireless network significantly extend the near-field region, a performance reevaluation of integrated sensing and communications (ISAC) with an appropriate channel model to account for the effects introduced by the near field becomes essential. In this paper, a near-field... |
2102.13185 | Zhuangdi Zhu | Zhuangdi Zhu, Kaixiang Lin, Bo Dai, Jiayu Zhou | Off-Policy Imitation Learning from Observations | null | null | null | null | cs.LG cs.AI | http://creativecommons.org/publicdomain/zero/1.0/ | Learning from Observations (LfO) is a practical reinforcement learning
scenario from which many applications can benefit through the reuse of
incomplete resources. Compared to conventional imitation learning (IL), LfO is
more challenging because of the lack of expert action guidance. In both
conventional IL and LfO, ... | [
{
"created": "Thu, 25 Feb 2021 21:33:47 GMT",
"version": "v1"
}
] | 2021-03-01 | [
[
"Zhu",
"Zhuangdi",
""
],
[
"Lin",
"Kaixiang",
""
],
[
"Dai",
"Bo",
""
],
[
"Zhou",
"Jiayu",
""
]
] | Learning from Observations (LfO) is a practical reinforcement learning scenario from which many applications can benefit through the reuse of incomplete resources. Compared to conventional imitation learning (IL), LfO is more challenging because of the lack of expert action guidance. In both conventional IL and LfO, di... |
1812.02937 | Idoia Ruiz | Idoia Ruiz, Bogdan Raducanu, Rakesh Mehta, Jaume Amores | Optimizing speed/accuracy trade-off for person re-identification via
knowledge distillation | Published on the journal "Engineering Applications of Artificial
Intelligence" | Engineering Applications of Artificial Intelligence, Volume 87,
January 2020, 103309 | 10.1016/j.engappai.2019.103309 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Finding a person across a camera network plays an important role in video
surveillance. For a real-world person re-identification application, in order
to guarantee an optimal time response, it is crucial to find the balance
between accuracy and speed. We analyse this trade-off, comparing a classical
method, that com... | [
{
"created": "Fri, 7 Dec 2018 08:11:06 GMT",
"version": "v1"
},
{
"created": "Thu, 5 Dec 2019 16:40:11 GMT",
"version": "v2"
}
] | 2019-12-06 | [
[
"Ruiz",
"Idoia",
""
],
[
"Raducanu",
"Bogdan",
""
],
[
"Mehta",
"Rakesh",
""
],
[
"Amores",
"Jaume",
""
]
] | Finding a person across a camera network plays an important role in video surveillance. For a real-world person re-identification application, in order to guarantee an optimal time response, it is crucial to find the balance between accuracy and speed. We analyse this trade-off, comparing a classical method, that compr... |
2110.06195 | Brian Cho | Brian Y. Cho, Tucker Hermans, Alan Kuntz | Planning Sensing Sequences for Subsurface 3D Tumor Mapping | 7 pages, 9 figures, to be published in the proceedings of the 2021
International Symposium on Medical Robotics (ISMR) | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Surgical automation has the potential to enable increased precision and
reduce the per-patient workload of overburdened human surgeons. An effective
automation system must be able to sense and map subsurface anatomy, such as
tumors, efficiently and accurately. In this work, we present a method that
plans a sequence o... | [
{
"created": "Tue, 12 Oct 2021 17:48:41 GMT",
"version": "v1"
}
] | 2021-10-13 | [
[
"Cho",
"Brian Y.",
""
],
[
"Hermans",
"Tucker",
""
],
[
"Kuntz",
"Alan",
""
]
] | Surgical automation has the potential to enable increased precision and reduce the per-patient workload of overburdened human surgeons. An effective automation system must be able to sense and map subsurface anatomy, such as tumors, efficiently and accurately. In this work, we present a method that plans a sequence of ... |
2011.06964 | Micha\"el Fanuel | Micha\"el Fanuel, Joachim Schreurs, Johan A.K. Suykens | Determinantal Point Processes Implicitly Regularize Semi-parametric
Regression Problems | 26 pages. Extended results. Typos corrected | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Semi-parametric regression models are used in several applications which
require comprehensibility without sacrificing accuracy. Typical examples are
spline interpolation in geophysics, or non-linear time series problems, where
the system includes a linear and non-linear component. We discuss here the use
of a finite... | [
{
"created": "Fri, 13 Nov 2020 15:22:16 GMT",
"version": "v1"
},
{
"created": "Tue, 9 Mar 2021 13:47:11 GMT",
"version": "v2"
}
] | 2021-03-10 | [
[
"Fanuel",
"Michaël",
""
],
[
"Schreurs",
"Joachim",
""
],
[
"Suykens",
"Johan A. K.",
""
]
] | Semi-parametric regression models are used in several applications which require comprehensibility without sacrificing accuracy. Typical examples are spline interpolation in geophysics, or non-linear time series problems, where the system includes a linear and non-linear component. We discuss here the use of a finite D... |
2308.06998 | Hao Shen | Hao Shen, Zhong-Qiu Zhao, Yulun Zhang, Zhao Zhang | Mutual Information-driven Triple Interaction Network for Efficient Image
Dehazing | Accepted in ACM MM 2023 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Multi-stage architectures have exhibited efficacy in image dehazing, which
usually decomposes a challenging task into multiple more tractable sub-tasks
and progressively estimates latent hazy-free images. Despite the remarkable
progress, existing methods still suffer from the following shortcomings: (1)
limited explo... | [
{
"created": "Mon, 14 Aug 2023 08:23:58 GMT",
"version": "v1"
}
] | 2023-08-15 | [
[
"Shen",
"Hao",
""
],
[
"Zhao",
"Zhong-Qiu",
""
],
[
"Zhang",
"Yulun",
""
],
[
"Zhang",
"Zhao",
""
]
] | Multi-stage architectures have exhibited efficacy in image dehazing, which usually decomposes a challenging task into multiple more tractable sub-tasks and progressively estimates latent hazy-free images. Despite the remarkable progress, existing methods still suffer from the following shortcomings: (1) limited explora... |
2404.08509 | Haoran Qiu | Haoran Qiu, Weichao Mao, Archit Patke, Shengkun Cui, Saurabh Jha, Chen
Wang, Hubertus Franke, Zbigniew T. Kalbarczyk, Tamer Ba\c{s}ar, Ravishankar
K. Iyer | Efficient Interactive LLM Serving with Proxy Model-based Sequence Length
Prediction | Accepted at AIOps'24 | null | null | null | cs.DC cs.CL cs.LG | http://creativecommons.org/licenses/by/4.0/ | Large language models (LLMs) have been driving a new wave of interactive AI
applications across numerous domains. However, efficiently serving LLM
inference requests is challenging due to their unpredictable execution times
originating from the autoregressive nature of generative models. Existing LLM
serving systems ... | [
{
"created": "Fri, 12 Apr 2024 14:46:15 GMT",
"version": "v1"
}
] | 2024-04-15 | [
[
"Qiu",
"Haoran",
""
],
[
"Mao",
"Weichao",
""
],
[
"Patke",
"Archit",
""
],
[
"Cui",
"Shengkun",
""
],
[
"Jha",
"Saurabh",
""
],
[
"Wang",
"Chen",
""
],
[
"Franke",
"Hubertus",
""
],
[
"Kalbarczyk",... | Large language models (LLMs) have been driving a new wave of interactive AI applications across numerous domains. However, efficiently serving LLM inference requests is challenging due to their unpredictable execution times originating from the autoregressive nature of generative models. Existing LLM serving systems ex... |
1304.2714 | Henry E. Kyburg Jr. | Henry E. Kyburg Jr | Higher Order Probabilities | Appears in Proceedings of the Third Conference on Uncertainty in
Artificial Intelligence (UAI1987) | null | null | UAI-P-1987-PG-30-38 | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A number of writers have supposed that for the full specification of belief,
higher order probabilities are required. Some have even supposed that there may
be an unending sequence of higher order probabilities of probabilities of
probabilities.... In the present paper we show that higher order probabilities
can alwa... | [
{
"created": "Wed, 27 Mar 2013 19:46:32 GMT",
"version": "v1"
}
] | 2013-04-11 | [
[
"Kyburg",
"Henry E.",
"Jr"
]
] | A number of writers have supposed that for the full specification of belief, higher order probabilities are required. Some have even supposed that there may be an unending sequence of higher order probabilities of probabilities of probabilities.... In the present paper we show that higher order probabilities can always... |
2108.09241 | Jie Huang | Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-mei Hwu | Open Relation Modeling: Learning to Define Relations between Entities | Accepted to Findings of ACL 2022 | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Relations between entities can be represented by different instances, e.g., a
sentence containing both entities or a fact in a Knowledge Graph (KG). However,
these instances may not well capture the general relations between entities,
may be difficult to understand by humans, even may not be found due to the
incomple... | [
{
"created": "Fri, 20 Aug 2021 16:03:23 GMT",
"version": "v1"
},
{
"created": "Thu, 3 Mar 2022 04:36:32 GMT",
"version": "v2"
}
] | 2022-03-04 | [
[
"Huang",
"Jie",
""
],
[
"Chang",
"Kevin Chen-Chuan",
""
],
[
"Xiong",
"Jinjun",
""
],
[
"Hwu",
"Wen-mei",
""
]
] | Relations between entities can be represented by different instances, e.g., a sentence containing both entities or a fact in a Knowledge Graph (KG). However, these instances may not well capture the general relations between entities, may be difficult to understand by humans, even may not be found due to the incomplete... |
2106.07505 | Vanessa Hahn | Vanessa Hahn, Dana Ruiter, Thomas Kleinbauer, Dietrich Klakow | Modeling Profanity and Hate Speech in Social Media with Semantic
Subspaces | 9 pages, 4 figures, accepted as a long paper at Workshop on Online
Abuse and Harms 2021 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Hate speech and profanity detection suffer from data sparsity, especially for
languages other than English, due to the subjective nature of the tasks and the
resulting annotation incompatibility of existing corpora. In this study, we
identify profane subspaces in word and sentence representations and explore
their ge... | [
{
"created": "Mon, 14 Jun 2021 15:34:37 GMT",
"version": "v1"
},
{
"created": "Fri, 18 Jun 2021 10:04:11 GMT",
"version": "v2"
}
] | 2021-06-21 | [
[
"Hahn",
"Vanessa",
""
],
[
"Ruiter",
"Dana",
""
],
[
"Kleinbauer",
"Thomas",
""
],
[
"Klakow",
"Dietrich",
""
]
] | Hate speech and profanity detection suffer from data sparsity, especially for languages other than English, due to the subjective nature of the tasks and the resulting annotation incompatibility of existing corpora. In this study, we identify profane subspaces in word and sentence representations and explore their gene... |
1211.7113 | Tinku Rasheed | Djamal-Eddine Meddour, Tinku Rasheed and Yvon Gourhant | On the Role of Infrastructure sharing for Mobile Network Operators in
Emerging Markets | null | The International Journal of Computer and Telecommunications
Networking, Volume 55, Issue 7, 2011, Pages 1576-1591 | 10.1016/j.comnet.2011.01.023 | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The traditional model of single ownership of all the physical network
elements and network layers by mobile network operators is beginning to be
challenged. This has been attributed to the rapid and complex technology
migration compounded with rigorous regulatory requirements and ever increasing
capital expenditures.... | [
{
"created": "Thu, 29 Nov 2012 22:51:56 GMT",
"version": "v1"
}
] | 2012-12-03 | [
[
"Meddour",
"Djamal-Eddine",
""
],
[
"Rasheed",
"Tinku",
""
],
[
"Gourhant",
"Yvon",
""
]
] | The traditional model of single ownership of all the physical network elements and network layers by mobile network operators is beginning to be challenged. This has been attributed to the rapid and complex technology migration compounded with rigorous regulatory requirements and ever increasing capital expenditures. T... |
1309.2350 | Shahin Shahrampour | Shahin Shahrampour and Ali Jadbabaie | Exponentially Fast Parameter Estimation in Networks Using Distributed
Dual Averaging | 6 pages, To appear in Conference on Decision and Control 2013 | null | null | null | cs.LG cs.SI math.OC stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we present an optimization-based view of distributed parameter
estimation and observational social learning in networks. Agents receive a
sequence of random, independent and identically distributed (i.i.d.) signals,
each of which individually may not be informative about the underlying true
state, but t... | [
{
"created": "Tue, 10 Sep 2013 00:36:44 GMT",
"version": "v1"
}
] | 2013-09-11 | [
[
"Shahrampour",
"Shahin",
""
],
[
"Jadbabaie",
"Ali",
""
]
] | In this paper we present an optimization-based view of distributed parameter estimation and observational social learning in networks. Agents receive a sequence of random, independent and identically distributed (i.i.d.) signals, each of which individually may not be informative about the underlying true state, but the... |
2309.16347 | Eleftherios Triantafyllidis Mr. | Eleftherios Triantafyllidis, Filippos Christianos and Zhibin Li | Intrinsic Language-Guided Exploration for Complex Long-Horizon Robotic
Manipulation Tasks | Accepted at the International Conference on Robotics and Automation
(ICRA), 2024. The manuscript consists of 10 pages and 6 figures | null | null | null | cs.RO cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Current reinforcement learning algorithms struggle in sparse and complex
environments, most notably in long-horizon manipulation tasks entailing a
plethora of different sequences. In this work, we propose the Intrinsically
Guided Exploration from Large Language Models (IGE-LLMs) framework. By
leveraging LLMs as an as... | [
{
"created": "Thu, 28 Sep 2023 11:14:52 GMT",
"version": "v1"
},
{
"created": "Thu, 7 Mar 2024 17:53:35 GMT",
"version": "v2"
}
] | 2024-03-08 | [
[
"Triantafyllidis",
"Eleftherios",
""
],
[
"Christianos",
"Filippos",
""
],
[
"Li",
"Zhibin",
""
]
] | Current reinforcement learning algorithms struggle in sparse and complex environments, most notably in long-horizon manipulation tasks entailing a plethora of different sequences. In this work, we propose the Intrinsically Guided Exploration from Large Language Models (IGE-LLMs) framework. By leveraging LLMs as an assi... |
2305.18445 | Sunitha Basodi | Sunitha Basodi, Krishna Pusuluri, Xueli Xiao, Yi Pan | Intelligent gradient amplification for deep neural networks | null | null | null | null | cs.LG cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Deep learning models offer superior performance compared to other machine
learning techniques for a variety of tasks and domains, but pose their own
challenges. In particular, deep learning models require larger training times
as the depth of a model increases, and suffer from vanishing gradients. Several
solutions a... | [
{
"created": "Mon, 29 May 2023 03:38:09 GMT",
"version": "v1"
}
] | 2023-05-31 | [
[
"Basodi",
"Sunitha",
""
],
[
"Pusuluri",
"Krishna",
""
],
[
"Xiao",
"Xueli",
""
],
[
"Pan",
"Yi",
""
]
] | Deep learning models offer superior performance compared to other machine learning techniques for a variety of tasks and domains, but pose their own challenges. In particular, deep learning models require larger training times as the depth of a model increases, and suffer from vanishing gradients. Several solutions add... |
2001.02091 | Chengkun Lang | Huiwei Zhou, Zhuang Liu1, Shixian Ning, Chengkun Lang, Yingyu Lin, Lei
Du | Knowledge-aware Attention Network for Protein-Protein Interaction
Extraction | Published on Journal of Biomedical Informatics, 14 pages, 5 figures | Journal of Biomedical Informatics, 2019, 96: 103234 | 10.1016/j.jbi.2019.103234 | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Protein-protein interaction (PPI) extraction from published scientific
literature provides additional support for precision medicine efforts. However,
many of the current PPI extraction methods need extensive feature engineering
and cannot make full use of the prior knowledge in knowledge bases (KB). KBs
contain huge... | [
{
"created": "Tue, 7 Jan 2020 15:02:28 GMT",
"version": "v1"
}
] | 2020-01-08 | [
[
"Zhou",
"Huiwei",
""
],
[
"Liu1",
"Zhuang",
""
],
[
"Ning",
"Shixian",
""
],
[
"Lang",
"Chengkun",
""
],
[
"Lin",
"Yingyu",
""
],
[
"Du",
"Lei",
""
]
] | Protein-protein interaction (PPI) extraction from published scientific literature provides additional support for precision medicine efforts. However, many of the current PPI extraction methods need extensive feature engineering and cannot make full use of the prior knowledge in knowledge bases (KB). KBs contain huge a... |
1207.2567 | Nadeem Javaid | S. Hayat, N. Javaid, Z. A. Khan, A. Shareef, A. Mahmood, S. H. Bouk | Energy Efficient MAC Protocols | null | 5th AHPCN in conjunction with 14th HPCC-2012, Liverpool, UK | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents a survey of energy efficiency of Medium Access Control
(MAC) protocols for Wireless Body Area Sensor Networks (WBASNs). We highlight
the features of MAC protocols along with their advantages and limitations in
context of WBASNs. Comparison of Low Power Listening (LPL), Scheduled
Contention and Tim... | [
{
"created": "Wed, 11 Jul 2012 09:05:36 GMT",
"version": "v1"
}
] | 2012-07-12 | [
[
"Hayat",
"S.",
""
],
[
"Javaid",
"N.",
""
],
[
"Khan",
"Z. A.",
""
],
[
"Shareef",
"A.",
""
],
[
"Mahmood",
"A.",
""
],
[
"Bouk",
"S. H.",
""
]
] | This paper presents a survey of energy efficiency of Medium Access Control (MAC) protocols for Wireless Body Area Sensor Networks (WBASNs). We highlight the features of MAC protocols along with their advantages and limitations in context of WBASNs. Comparison of Low Power Listening (LPL), Scheduled Contention and Time ... |
1910.06299 | Gamal Sallam | Gamal Sallam, Zizhan Zheng, Bo Ji | Placement and Allocation of Virtual Network Functions: Multi-dimensional
Case | null | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Network function virtualization (NFV) is an emerging design paradigm that
replaces physical middlebox devices with software modules running on general
purpose commodity servers. While gradually transitioning to NFV, Internet
service providers face the problem of where to introduce NFV in order to make
the most benefi... | [
{
"created": "Mon, 14 Oct 2019 17:27:59 GMT",
"version": "v1"
},
{
"created": "Sun, 31 May 2020 22:39:43 GMT",
"version": "v2"
},
{
"created": "Sat, 19 Feb 2022 18:41:15 GMT",
"version": "v3"
}
] | 2022-02-22 | [
[
"Sallam",
"Gamal",
""
],
[
"Zheng",
"Zizhan",
""
],
[
"Ji",
"Bo",
""
]
] | Network function virtualization (NFV) is an emerging design paradigm that replaces physical middlebox devices with software modules running on general purpose commodity servers. While gradually transitioning to NFV, Internet service providers face the problem of where to introduce NFV in order to make the most benefit ... |
2005.13751 | Iraklis Moutidis | Iraklis Moutidis and Hywel T.P. Williams | Complex networks for event detection in heterogeneous high volume news
streams | null | null | null | null | cs.SI cs.CL cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Detecting important events in high volume news streams is an important task
for a variety of purposes.The volume and rate of online news increases the need
for automated event detection methods thatcan operate in real time. In this
paper we develop a network-based approach that makes the workingassumption that
import... | [
{
"created": "Thu, 28 May 2020 02:45:43 GMT",
"version": "v1"
}
] | 2020-05-29 | [
[
"Moutidis",
"Iraklis",
""
],
[
"Williams",
"Hywel T. P.",
""
]
] | Detecting important events in high volume news streams is an important task for a variety of purposes.The volume and rate of online news increases the need for automated event detection methods thatcan operate in real time. In this paper we develop a network-based approach that makes the workingassumption that importan... |
2209.15351 | Xiuzhen Guo | Xiuzhen Guo, Longfei Shangguan, Yuan He, Jia Zhang, Haotian Jiang,
Awais Ahmad Siddiqi, Yunhao Liu | Efficient Ambient LoRa Backscatter with On-Off Keying Modulation | null | null | null | null | cs.NI eess.SP | http://creativecommons.org/licenses/by/4.0/ | Backscatter communication holds potential for ubiquitous and low-cost
connectivity among low-power IoT devices. To avoid interference between the
carrier signal and the backscatter signal, recent works propose a
frequency-shifting technique to separate these two signals in the frequency
domain. Such proposals, howeve... | [
{
"created": "Fri, 30 Sep 2022 10:16:43 GMT",
"version": "v1"
}
] | 2022-10-03 | [
[
"Guo",
"Xiuzhen",
""
],
[
"Shangguan",
"Longfei",
""
],
[
"He",
"Yuan",
""
],
[
"Zhang",
"Jia",
""
],
[
"Jiang",
"Haotian",
""
],
[
"Siddiqi",
"Awais Ahmad",
""
],
[
"Liu",
"Yunhao",
""
]
] | Backscatter communication holds potential for ubiquitous and low-cost connectivity among low-power IoT devices. To avoid interference between the carrier signal and the backscatter signal, recent works propose a frequency-shifting technique to separate these two signals in the frequency domain. Such proposals, however,... |
1808.01688 | Huan Zhang | Dong Su, Huan Zhang, Hongge Chen, Jinfeng Yi, Pin-Yu Chen, Yupeng Gao | Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the
Robustness of 18 Deep Image Classification Models | Accepted by the European Conference on Computer Vision (ECCV) 2018 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The prediction accuracy has been the long-lasting and sole standard for
comparing the performance of different image classification models, including
the ImageNet competition. However, recent studies have highlighted the lack of
robustness in well-trained deep neural networks to adversarial examples.
Visually imperce... | [
{
"created": "Sun, 5 Aug 2018 21:43:01 GMT",
"version": "v1"
},
{
"created": "Mon, 4 Mar 2019 00:35:26 GMT",
"version": "v2"
}
] | 2019-03-05 | [
[
"Su",
"Dong",
""
],
[
"Zhang",
"Huan",
""
],
[
"Chen",
"Hongge",
""
],
[
"Yi",
"Jinfeng",
""
],
[
"Chen",
"Pin-Yu",
""
],
[
"Gao",
"Yupeng",
""
]
] | The prediction accuracy has been the long-lasting and sole standard for comparing the performance of different image classification models, including the ImageNet competition. However, recent studies have highlighted the lack of robustness in well-trained deep neural networks to adversarial examples. Visually impercept... |
2303.10087 | Shuai Chen | Shuai Chen, Yash Bhalgat, Xinghui Li, Jiawang Bian, Kejie Li, Zirui
Wang, Victor Adrian Prisacariu | Neural Refinement for Absolute Pose Regression with Feature Synthesis | Paper Accepted by CVPR 2024. Project Page:
http://nefes.active.vision. Code will be released at
https://github.com/ActiveVisionLab/NeFeS | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Absolute Pose Regression (APR) methods use deep neural networks to directly
regress camera poses from RGB images. However, the predominant APR
architectures only rely on 2D operations during inference, resulting in limited
accuracy of pose estimation due to the lack of 3D geometry constraints or
priors. In this work,... | [
{
"created": "Fri, 17 Mar 2023 16:10:50 GMT",
"version": "v1"
},
{
"created": "Fri, 1 Mar 2024 01:40:52 GMT",
"version": "v2"
}
] | 2024-03-04 | [
[
"Chen",
"Shuai",
""
],
[
"Bhalgat",
"Yash",
""
],
[
"Li",
"Xinghui",
""
],
[
"Bian",
"Jiawang",
""
],
[
"Li",
"Kejie",
""
],
[
"Wang",
"Zirui",
""
],
[
"Prisacariu",
"Victor Adrian",
""
]
] | Absolute Pose Regression (APR) methods use deep neural networks to directly regress camera poses from RGB images. However, the predominant APR architectures only rely on 2D operations during inference, resulting in limited accuracy of pose estimation due to the lack of 3D geometry constraints or priors. In this work, w... |
2306.11112 | Emily Diana | Emily Diana and Alexander Williams Tolbert | Correcting Underrepresentation and Intersectional Bias for
Classification | null | null | null | null | cs.LG cs.CY cs.DS stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the problem of learning from data corrupted by
underrepresentation bias, where positive examples are filtered from the data at
different, unknown rates for a fixed number of sensitive groups. We show that
with a small amount of unbiased data, we can efficiently estimate the
group-wise drop-out rates, even... | [
{
"created": "Mon, 19 Jun 2023 18:25:44 GMT",
"version": "v1"
},
{
"created": "Wed, 19 Jul 2023 21:08:41 GMT",
"version": "v2"
},
{
"created": "Tue, 26 Sep 2023 19:02:34 GMT",
"version": "v3"
},
{
"created": "Mon, 3 Jun 2024 20:57:56 GMT",
"version": "v4"
}
] | 2024-06-05 | [
[
"Diana",
"Emily",
""
],
[
"Tolbert",
"Alexander Williams",
""
]
] | We consider the problem of learning from data corrupted by underrepresentation bias, where positive examples are filtered from the data at different, unknown rates for a fixed number of sensitive groups. We show that with a small amount of unbiased data, we can efficiently estimate the group-wise drop-out rates, even i... |
2108.04343 | Maryem Rhanoui | Siham Yousfi and Maryem Rhanoui and Dalila Chiadmi | Towards a Generic Multimodal Architecture for Batch and Streaming Big
Data Integration | null | Journal of Computer Science, Volume 15 No. 1, 2019, 207-220 | 10.3844/jcssp.2019.207.220 | null | cs.AI cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Big Data are rapidly produced from various heterogeneous data sources. They
are of different types (text, image, video or audio) and have different levels
of reliability and completeness. One of the most interesting architectures that
deal with the large amount of emerging data at high velocity is called the
lambda a... | [
{
"created": "Mon, 9 Aug 2021 20:50:01 GMT",
"version": "v1"
}
] | 2021-08-11 | [
[
"Yousfi",
"Siham",
""
],
[
"Rhanoui",
"Maryem",
""
],
[
"Chiadmi",
"Dalila",
""
]
] | Big Data are rapidly produced from various heterogeneous data sources. They are of different types (text, image, video or audio) and have different levels of reliability and completeness. One of the most interesting architectures that deal with the large amount of emerging data at high velocity is called the lambda arc... |
0810.1424 | Sidharth Jaggi | Bikash Kumar Dey, Sidharth Jaggi, and Michael Langberg | "Real" Slepian-Wolf Codes | 20 pages. Preliminary version presented at ISIT 2008, Toronto, Canada | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We provide a novel achievability proof of the Slepian-Wolf theorem for i.i.d.
sources over finite alphabets. We demonstrate that random codes that are linear
over the real field achieve the classical Slepian-Wolf rate-region. For finite
alphabets we show that typicality decoding is equivalent to solving an integer
pr... | [
{
"created": "Wed, 8 Oct 2008 12:57:51 GMT",
"version": "v1"
}
] | 2008-10-09 | [
[
"Dey",
"Bikash Kumar",
""
],
[
"Jaggi",
"Sidharth",
""
],
[
"Langberg",
"Michael",
""
]
] | We provide a novel achievability proof of the Slepian-Wolf theorem for i.i.d. sources over finite alphabets. We demonstrate that random codes that are linear over the real field achieve the classical Slepian-Wolf rate-region. For finite alphabets we show that typicality decoding is equivalent to solving an integer prog... |
2204.05311 | M.Z. Naser | M.Z. Naser, Aybike Ozyuksel Ciftcioglu | Causal Discovery and Causal Learning for Fire Resistance Evaluation:
Incorporating Domain Knowledge | null | null | null | null | cs.LG stat.AP | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Experiments remain the gold standard to establish an understanding of
fire-related phenomena. A primary goal in designing tests is to uncover the
data generating process (i.e., the how and why the observations we see come to
be); or simply what causes such observations. Uncovering such a process not
only advances our... | [
{
"created": "Mon, 11 Apr 2022 22:35:52 GMT",
"version": "v1"
}
] | 2022-04-13 | [
[
"Naser",
"M. Z.",
""
],
[
"Ciftcioglu",
"Aybike Ozyuksel",
""
]
] | Experiments remain the gold standard to establish an understanding of fire-related phenomena. A primary goal in designing tests is to uncover the data generating process (i.e., the how and why the observations we see come to be); or simply what causes such observations. Uncovering such a process not only advances our k... |
2211.05295 | Jianye Yi | Jianye Yi, Xiaopin Zhong, Weixiang Liu, Zongze Wu, Yuanlong Deng and
Zhengguang Wu | Harmonizing output imbalance for defect segmentation on
extremely-imbalanced photovoltaic module cells images | 19 pages, 16 figures, 3 appendixes | null | null | null | cs.CV cs.LG eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The continuous development of the photovoltaic (PV) industry has raised high
requirements for the quality of monocrystalline of PV module cells. When
learning to segment defect regions in PV module cell images, Tiny Hidden Cracks
(THC) lead to extremely-imbalanced samples. The ratio of defect pixels to
normal pixels ... | [
{
"created": "Thu, 10 Nov 2022 02:05:17 GMT",
"version": "v1"
},
{
"created": "Mon, 12 Dec 2022 04:18:22 GMT",
"version": "v2"
},
{
"created": "Tue, 13 Dec 2022 02:09:40 GMT",
"version": "v3"
},
{
"created": "Tue, 24 Oct 2023 10:08:10 GMT",
"version": "v4"
}
] | 2023-10-25 | [
[
"Yi",
"Jianye",
""
],
[
"Zhong",
"Xiaopin",
""
],
[
"Liu",
"Weixiang",
""
],
[
"Wu",
"Zongze",
""
],
[
"Deng",
"Yuanlong",
""
],
[
"Wu",
"Zhengguang",
""
]
] | The continuous development of the photovoltaic (PV) industry has raised high requirements for the quality of monocrystalline of PV module cells. When learning to segment defect regions in PV module cell images, Tiny Hidden Cracks (THC) lead to extremely-imbalanced samples. The ratio of defect pixels to normal pixels ca... |
2105.05716 | Adrian Remonda | Adrian Remonda, Eduardo Veas, Granit Luzhnica | Acting upon Imagination: when to trust imagined trajectories in model
based reinforcement learning | null | null | null | null | cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | Model-based reinforcement learning (MBRL) aims to learn model(s) of the
environment dynamics that can predict the outcome of its actions. Forward
application of the model yields so called imagined trajectories (sequences of
action, predicted state-reward) used to optimize the set of candidate actions
that maximize ex... | [
{
"created": "Wed, 12 May 2021 15:04:07 GMT",
"version": "v1"
},
{
"created": "Thu, 13 May 2021 10:26:30 GMT",
"version": "v2"
},
{
"created": "Wed, 9 Nov 2022 17:34:08 GMT",
"version": "v3"
},
{
"created": "Fri, 11 Nov 2022 10:47:43 GMT",
"version": "v4"
},
{
"cr... | 2024-07-31 | [
[
"Remonda",
"Adrian",
""
],
[
"Veas",
"Eduardo",
""
],
[
"Luzhnica",
"Granit",
""
]
] | Model-based reinforcement learning (MBRL) aims to learn model(s) of the environment dynamics that can predict the outcome of its actions. Forward application of the model yields so called imagined trajectories (sequences of action, predicted state-reward) used to optimize the set of candidate actions that maximize expe... |
2309.08369 | Yinqi Li | Zhupeng Ye, Yinqi Li, Zejian Yuan | An Efficient Wide-Range Pseudo-3D Vehicle Detection Using A Single
Camera | 11 pages, 27 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Wide-range and fine-grained vehicle detection plays a critical role in
enabling active safety features in intelligent driving systems. However,
existing vehicle detection methods based on rectangular bounding boxes (BBox)
often struggle with perceiving wide-range objects, especially small objects at
long distances. A... | [
{
"created": "Fri, 15 Sep 2023 12:50:09 GMT",
"version": "v1"
}
] | 2023-09-18 | [
[
"Ye",
"Zhupeng",
""
],
[
"Li",
"Yinqi",
""
],
[
"Yuan",
"Zejian",
""
]
] | Wide-range and fine-grained vehicle detection plays a critical role in enabling active safety features in intelligent driving systems. However, existing vehicle detection methods based on rectangular bounding boxes (BBox) often struggle with perceiving wide-range objects, especially small objects at long distances. And... |
1805.01129 | Palakorn Achananuparp | Palakorn Achananuparp, Ee-Peng Lim, Vibhanshu Abhishek | Does Journaling Encourage Healthier Choices? Analyzing Healthy Eating
Behaviors of Food Journalers | Published at Digital Health 2018 | null | 10.1145/3194658.3194663 | null | cs.SI cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Past research has shown the benefits of food journaling in promoting mindful
eating and healthier food choices. However, the links between journaling and
healthy eating have not been thoroughly examined. Beyond caloric restriction,
do journalers consistently and sufficiently consume healthful diets? How
different are... | [
{
"created": "Thu, 3 May 2018 05:59:22 GMT",
"version": "v1"
}
] | 2020-10-28 | [
[
"Achananuparp",
"Palakorn",
""
],
[
"Lim",
"Ee-Peng",
""
],
[
"Abhishek",
"Vibhanshu",
""
]
] | Past research has shown the benefits of food journaling in promoting mindful eating and healthier food choices. However, the links between journaling and healthy eating have not been thoroughly examined. Beyond caloric restriction, do journalers consistently and sufficiently consume healthful diets? How different are t... |
2310.02076 | Cindy Xiong Bearfield | Cindy Xiong Bearfield, Chase Stokes, Andrew Lovett, Steven Franconeri | What Does the Chart Say? Grouping Cues Guide Viewer Comparisons and
Conclusions in Bar Charts | null | null | 10.1109/TVCG.2023.3289292 | null | cs.HC | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Reading a visualization is like reading a paragraph. Each sentence is a
comparison: the mean of these is higher than those; this difference is smaller
than that. What determines which comparisons are made first? The viewer's goals
and expertise matter, but the way that values are visually grouped together
within the ... | [
{
"created": "Tue, 3 Oct 2023 14:16:25 GMT",
"version": "v1"
}
] | 2023-10-04 | [
[
"Bearfield",
"Cindy Xiong",
""
],
[
"Stokes",
"Chase",
""
],
[
"Lovett",
"Andrew",
""
],
[
"Franconeri",
"Steven",
""
]
] | Reading a visualization is like reading a paragraph. Each sentence is a comparison: the mean of these is higher than those; this difference is smaller than that. What determines which comparisons are made first? The viewer's goals and expertise matter, but the way that values are visually grouped together within the ch... |
2404.15697 | Orazio Pontorno | Orazio Pontorno (1), Luca Guarnera (1), Sebastiano Battiato (1) ((1)
University of Catania) | DeepFeatureX Net: Deep Features eXtractors based Network for
discriminating synthetic from real images | null | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deepfakes, synthetic images generated by deep learning algorithms, represent
one of the biggest challenges in the field of Digital Forensics. The scientific
community is working to develop approaches that can discriminate the origin of
digital images (real or AI-generated). However, these methodologies face the
chall... | [
{
"created": "Wed, 24 Apr 2024 07:25:36 GMT",
"version": "v1"
}
] | 2024-04-25 | [
[
"Pontorno",
"Orazio",
""
],
[
"Guarnera",
"Luca",
""
],
[
"Battiato",
"Sebastiano",
""
]
] | Deepfakes, synthetic images generated by deep learning algorithms, represent one of the biggest challenges in the field of Digital Forensics. The scientific community is working to develop approaches that can discriminate the origin of digital images (real or AI-generated). However, these methodologies face the challen... |
1311.0413 | Gordana Dodig Crnkovic | Gordana Dodig-Crnkovic | Information, Computation, Cognition. Agency-based Hierarchies of Levels | 5 pages | null | null | null | cs.AI | http://creativecommons.org/licenses/by-nc-sa/3.0/ | Nature can be seen as informational structure with computational dynamics
(info-computationalism), where an (info-computational) agent is needed for the
potential information of the world to actualize. Starting from the definition
of information as the difference in one physical system that makes a difference
in anot... | [
{
"created": "Sat, 2 Nov 2013 21:33:11 GMT",
"version": "v1"
}
] | 2013-11-05 | [
[
"Dodig-Crnkovic",
"Gordana",
""
]
] | Nature can be seen as informational structure with computational dynamics (info-computationalism), where an (info-computational) agent is needed for the potential information of the world to actualize. Starting from the definition of information as the difference in one physical system that makes a difference in anothe... |
2306.05582 | Denizhan Oak | Denizhan Pak, Donsuk Lee, Samantha M. W. Wood, Justin N. Wood | A newborn embodied Turing test for view-invariant object recognition | 7 Pages. 4 figures, 1 table. This paper was accepted to the CogSci
2023 Conference. (https://cognitivesciencesociety.org/) | null | null | null | cs.AI q-bio.NC | http://creativecommons.org/licenses/by/4.0/ | Recent progress in artificial intelligence has renewed interest in building
machines that learn like animals. Almost all of the work comparing learning
across biological and artificial systems comes from studies where animals and
machines received different training data, obscuring whether differences
between animals... | [
{
"created": "Thu, 8 Jun 2023 22:46:31 GMT",
"version": "v1"
}
] | 2023-06-12 | [
[
"Pak",
"Denizhan",
""
],
[
"Lee",
"Donsuk",
""
],
[
"Wood",
"Samantha M. W.",
""
],
[
"Wood",
"Justin N.",
""
]
] | Recent progress in artificial intelligence has renewed interest in building machines that learn like animals. Almost all of the work comparing learning across biological and artificial systems comes from studies where animals and machines received different training data, obscuring whether differences between animals a... |
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