research
∙
06/11/2023
A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation
In recent years, concept-based approaches have emerged as some of the mo...
share
research
∙
05/10/2023
Text-To-Concept (and Back) via Cross-Model Alignment
We observe that the mapping between an image's representation in one mod...
research
∙
11/17/2022
Data-Centric Debugging: mitigating model failures via targeted data collection
Deep neural networks can be unreliable in the real world when the traini...
research
∙
09/15/2022
Explicit Tradeoffs between Adversarial and Natural Distributional Robustness
Several existing works study either adversarial or natural distributiona...
research
∙
03/28/2022
Core Risk Minimization using Salient ImageNet
Deep neural networks can be unreliable in the real world especially when...
research
∙
01/26/2022
A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual Attributes
While datasets with single-label supervision have propelled rapid advanc...
research
∙
08/30/2021
