research
∙
05/29/2023
Beyond Confidence: Reliable Models Should Also Consider Atypicality
While most machine learning models can provide confidence in their predi...
share
research
∙
05/01/2023
Discover and Cure: Concept-aware Mitigation of Spurious Correlation
Deep neural networks often rely on spurious correlations to make predict...
research
∙
04/06/2023
GPT detectors are biased against non-native English writers
The rapid adoption of generative language models has brought about subst...
research
∙
02/01/2023
SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained model debugging and analysis
For the deployment of artificial intelligence (AI) in high-risk settings...
research
∙
11/16/2022
Holistic Evaluation of Language Models
Language models (LMs) are becoming the foundation for almost all major l...
research
∙
10/04/2022
When and why vision-language models behave like bags-of-words, and what to do about it?
Despite the success of large vision and language models (VLMs) in many d...
research
∙
05/31/2022
Post-hoc Concept Bottleneck Models
Concept Bottleneck Models (CBMs) map the inputs onto a set of interpreta...
research
∙
10/02/2019
Learning Maximally Predictive Prototypes in Multiple Instance Learning
In this work, we propose a simple model that provides permutation invari...
research
∙
09/24/2019
