research
∙
08/02/2023
More Context, Less Distraction: Visual Classification by Inferring and Conditioning on Contextual Attributes
CLIP, as a foundational vision language model, is widely used in zero-sh...
share
research
∙
04/10/2023
On the Possibilities of AI-Generated Text Detection
Our work focuses on the challenge of detecting outputs generated by Larg...
research
∙
11/10/2021
Understanding the Generalization Benefit of Model Invariance from a Data Perspective
Machine learning models that are developed to be invariant under certain...
research
∙
02/26/2020
Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization
Training machine learning models to be robust against adversarial inputs...
research
∙
01/10/2020