67 citations · 127 across the 17 of their papers we have counts for
3 papers · 1 filter
Interpretable Embeddings with Sparse Autoencoders: A Data Analysis Toolkit
Nick Jiang, Xiaoqing Sun, Lisa Dunlap +2
Analyzing large-scale text corpora is a core challenge in machine learning, crucial for tasks like identifying undesirable model behaviors or biases in training data. Current metho…
Discovering Divergent Representations between Text-to-Image Models
Lisa Dunlap, Joseph E. Gonzalez, Trevor Darrell +3
In this paper, we investigate when and how visual representations learned by two different generative models diverge. Given two text-to-image models, our goal is to discover visual…
Video Action Differencing
James Burgess, Xiaohan Wang, Yuhui Zhang +5
How do two individuals differ when performing the same action? In this work, we introduce Video Action Differencing (VidDiff), the novel task of identifying subtle differences betw…