most citedLCA-on-the-Line: Benchmarking Out-of-Distribution Generalization with Class Taxonomies

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2024★ 1 cited

LCA-on-the-Line: Benchmarking Out-of-Distribution Generalization with Class Taxonomies

Jia Shi, Gautam Gare, Jinjin Tian +6

We tackle the challenge of predicting models' Out-of-Distribution (OOD) performance using in-distribution (ID) measurements without requiring OOD data. Existing evaluations with "E…

cs.CV2023

ITI-GEN: Inclusive Text-to-Image Generation

Cheng Zhang, Xuanbai Chen, Siqi Chai +4

Text-to-image generative models often reflect the biases of the training data, leading to unequal representations of underrepresented groups. This study investigates inclusive text…