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Do Invariances in Deep Neural Networks Align with Human Perception?

Proceedings of the AAAI Conference on Artificial Intelligence(2023)10.1609/aaai.v37i8.26112Source: DataRank Database

Do Invariances in Deep Neural Networks Align with Human Perception? is a research paper published in Proceedings of the AAAI Conference on Artificial Intelligence (2023). On theSindex it has a DataRank of 0. It has been cited 6 times.

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Open Access6 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (7 grants)OA: goldTopics (12)

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Authors (7)

Ayan Majumdar,Camila Kolling ORCID,John P. Dickerson ORCID,Krishna P. Gummadi ORCID,Bradley C. Love ORCID

Live enrichment

European Commission

Grant: 101070617

European Lighthouse on Secure and Safe AI

European Commission

Grant: 789373

Foundations for Fair Social Computing

National Science Foundation

Grant: 1852352

REU Site: CAAR: Combinatorics and Algorithms Applied to Real Problems

National Science Foundation

Grant: 1846237

CAREER: Scalable and Robust Dynamic Matching Market Design

National Science Foundation

Grant: 2039862

D-ISN: TRACK 1: Collaborative Research: Discovery, Analysis, and Disruption of Illicit Narcotic Supply Networks

Wellcome Trust

Grant: 106931

Neural and Computational Mechanisms of Categorisation.

UK Research and Innovation

Grant: EP/V025279/1

Turing AI Fellowship: Trustworthy Machine Learning

goldLicense: arXiv Non-Exclusive Distribution

publisherhttps://ojs.aaai.org/index.php/AAAI/article/download/26112/25884

https://doi.org/10.1609/aaai.v37i8.26112

https://dx.doi.org/10.48550/arxiv.2111.14726

http://arxiv.org/abs/2111.14726

https://hdl.handle.net/21.11116/0000-000D-AA05-E

Fields of Study

0301 basic medicine0303 health sciences03 medical and health sciences0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

FOS: Computer and information sciencesComputer Science - Machine LearningArtificial Intelligence (cs.AI)Computer Science - Artificial IntelligenceComputer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern RecognitionMachine Learning (cs.LG)