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

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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Detalles Bibliográficos
Otros Autores: Peng, Kuan-Chuan, author (author), Wu, Ziyan, author
Formato: Libro electrónico
Idioma:Inglés
Publicado: Basel : MDPI - Multidisciplinary Digital Publishing Institute 2022.
Materias:
Technology: general issues.
Artificial intelligence > Congresses.
History of engineering & technology.
permutation equivariance
optimization
gender bias
fairness
face-recognition models
facial attributes
social bias
bias detection
natural language processing
temporal bias
forecasting
contrastive learning
supervised contrastive learning
transfer learning
robustness
noisy labels
coresets
deep learning
contextualized embeddings
out-of-distribution generalization
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009672611706719
Descripción
Sumario: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.
Descripción Física:1 electronic resource (186 p.)

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