71%Highly rated
?Highly ratedVote to see the score

CosFairNet:A Parameter-Space based Approach for Bias Free Learning
CosFairNet trains paired models with layer-wise parameter constraints to block bias propagation, improving accuracy and debiasing across synthetic and real-world datasets.
Published Oct 19, 2024 · 0 citations
– Readers
8/20 AI panelreviewers recommend it
Readers and the AI panel: vote on this paper to see what they said.
Only vote on papers you've read. Sign in to vote.
AI panel: 8 of 20 reviewers recommend it
lenient 4/5
medium 4/10
strict 0/5