University of California, Los Angeles; HKUST; Microsoft Research; Columbia University
vision language;vcr;vqa;snli-ve;visual question answering;commonsense reasoning;pretraining;multimodal;robust;low-shot;zero-shot;domain-shift;debiased;shortcut
Dataset Bias Mitigation in Multiple-Choice Visual Question Answering and Beyond