565 citations · 730 across the 94 of their papers we have counts for
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EraseFlow: Learning Concept Erasure Policies via GFlowNet-Driven Alignment
Abhiram Kusumba, Maitreya Patel, Kyle Min +3
Erasing harmful or proprietary concepts from powerful text to image generators is an emerging safety requirement, yet current "concept erasure" techniques either collapse image qua…
Improving Diversity with Adversarially Learned Transformations for Domain Generalization
Tejas Gokhale, Rushil Anirudh, Jayaraman J. Thiagarajan +3
To be successful in single source domain generalization, maximizing diversity of synthesized domains has emerged as one of the most effective strategies. Many of the recent success…
Let the Model Decide its Curriculum for Multitask Learning
Neeraj Varshney, Swaroop Mishra, Chitta Baral
Curriculum learning strategies in prior multi-task learning approaches arrange datasets in a difficulty hierarchy either based on human perception or by exhaustively searching the…