Lundberg, Scott

6 publications

ICCV 2023 Adaptive Testing of Computer Vision Models Irena Gao, Gabriel Ilharco, Scott Lundberg, Marco Tulio Ribeiro

ICLR 2022 Axiomatic Explanations for Visual Search, Retrieval, and Similarity Learning Mark Hamilton, Scott Lundberg, Stephanie Fu, Lei Zhang, William T. Freeman

AISTATS 2021 Shapley Flow: A Graph-Based Approach to Interpreting Model Predictions Jiaxuan Wang, Jenna Wiens, Scott Lundberg

JMLR 2021 Explaining by Removing: A Unified Framework for Model Explanation Ian Covert, Scott Lundberg, Su-In Lee

ICLR 2020 Learning Explainable Models Using Attribution Priors Gabriel Erion, Joseph D. Janizek, Pascal Sturmfels, Scott Lundberg, Su-In Lee

Distill 2020 Visualizing the Impact of Feature Attribution Baselines Pascal Sturmfels, Scott Lundberg, Su-In Lee