Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests S Kulinski, S Bagchi, DI Inouye Advances in Neural Information Processing Systems 33, 2020 | 24 | 2020 |
Towards explaining distribution shifts S Kulinski, DI Inouye International Conference on Machine Learning, 17931-17952, 2023 | 8 | 2023 |
Towards Explaining Image-Based Distribution Shifts S Kulinski, DI Inouye Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 3 | 2022 |
Starcraftimage: A dataset for prototyping spatial reasoning methods for multi-agent environments S Kulinski, NR Waytowich, JZ Hare, DI Inouye Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 1 | 2023 |
Towards Characterizing Domain Counterfactuals For Invertible Latent Causal Models S Kulinski, Z Zhou, R Bai, M Kocaoglu, DI Inouye arXiv preprint arXiv:2306.11281, 2023 | | 2023 |
Distribution Shifts And How We Can Learn from Them S Kulinski | | |