AAAI Workshop on Artificial Intelligence with Biased or Scarce Data (AIBSD)

This book is a collection of the accepted papers presented at the Workshop on Artificial Intelligence with Biased or Scarce Data (AIBSD) in conjunction with the 36th AAAI Conference on Artificial Intelligence 2022. During AIBSD 2022, the attendees addressed the existing issues of data bias and scarc...

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フォーマット: Online
言語:英語
出版事項: MDPI - Multidisciplinary Digital Publishing Institute 2022
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オンライン・アクセス:ONIX_20220812_9783036546810_110
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collection Directory of Open Access Books
description This book is a collection of the accepted papers presented at the Workshop on Artificial Intelligence with Biased or Scarce Data (AIBSD) in conjunction with the 36th AAAI Conference on Artificial Intelligence 2022. During AIBSD 2022, the attendees addressed the existing issues of data bias and scarcity in Artificial Intelligence and discussed potential solutions in real-world scenarios. A set of papers presented at AIBSD 2022 is selected for further publication and included in this book.
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institution Directory of Open Access Books
language eng
publishDate 2022
publishDateRange 2022
publishDateSort 2022
publisher MDPI - Multidisciplinary Digital Publishing Institute
publisherStr MDPI - Multidisciplinary Digital Publishing Institute
record_format ojs
spelling doab-20.500.12854ir-912312024-04-09T23:15:59Z AAAI Workshop on Artificial Intelligence with Biased or Scarce Data (AIBSD) out-of-distribution generalization forecasting temporal bias permutation equivariance optimization face-recognition models facial attributes social bias fairness natural language processing gender bias bias detection contextualized embeddings deep learning contrastive learning supervised contrastive learning transfer learning robustness noisy labels coresets thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology This book is a collection of the accepted papers presented at the Workshop on Artificial Intelligence with Biased or Scarce Data (AIBSD) in conjunction with the 36th AAAI Conference on Artificial Intelligence 2022. During AIBSD 2022, the attendees addressed the existing issues of data bias and scarcity in Artificial Intelligence and discussed potential solutions in real-world scenarios. A set of papers presented at AIBSD 2022 is selected for further publication and included in this book. 2022-08-12T12:52:59Z 2022-08-12T12:52:59Z 2022 book ONIX_20220812_9783036546810_110 9783036546810 9783036546827 https://directory.doabooks.org/handle/20.500.12854/91231 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/5877 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-4682-7 10.3390/books978-3-0365-4682-7 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036546810 9783036546827 186 Basel open access
spellingShingle out-of-distribution generalization
forecasting
temporal bias
permutation equivariance
optimization
face-recognition models
facial attributes
social bias
fairness
natural language processing
gender bias
bias detection
contextualized embeddings
deep learning
contrastive learning
supervised contrastive learning
transfer learning
robustness
noisy labels
coresets
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
AAAI Workshop on Artificial Intelligence with Biased or Scarce Data (AIBSD)
title AAAI Workshop on Artificial Intelligence with Biased or Scarce Data (AIBSD)
title_full AAAI Workshop on Artificial Intelligence with Biased or Scarce Data (AIBSD)
title_fullStr AAAI Workshop on Artificial Intelligence with Biased or Scarce Data (AIBSD)
title_full_unstemmed AAAI Workshop on Artificial Intelligence with Biased or Scarce Data (AIBSD)
title_short AAAI Workshop on Artificial Intelligence with Biased or Scarce Data (AIBSD)
title_sort aaai workshop on artificial intelligence with biased or scarce data aibsd
topic out-of-distribution generalization
forecasting
temporal bias
permutation equivariance
optimization
face-recognition models
facial attributes
social bias
fairness
natural language processing
gender bias
bias detection
contextualized embeddings
deep learning
contrastive learning
supervised contrastive learning
transfer learning
robustness
noisy labels
coresets
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
topic_facet out-of-distribution generalization
forecasting
temporal bias
permutation equivariance
optimization
face-recognition models
facial attributes
social bias
fairness
natural language processing
gender bias
bias detection
contextualized embeddings
deep learning
contrastive learning
supervised contrastive learning
transfer learning
robustness
noisy labels
coresets
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
url ONIX_20220812_9783036546810_110