Publication Date:
2022-08-12
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.
Keywords:
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
;
bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
;
bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
Language:
English
Format:
image/jpeg
