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Rethinking Counterfactual Data Augmentation Under Confounding., , , , , and . CoRR, (2023)RetroKD : Leveraging Past States for Regularizing Targets in Teacher-Student Learning., , , , and . COMAD/CODS, page 10-18. ACM, (2023)A Deeper Look at the Hessian Eigenspectrum of Deep Neural Networks and its Applications to Regularization., , , and . AAAI, page 9481-9488. AAAI Press, (2021)Towards Learning and Explaining Indirect Causal Effects in Neural Networks., , , , , , and . AAAI, page 14802-14810. AAAI Press, (2024)Unseen Classes at a Later Time? No Problem., , , and . CVPR, page 9235-9244. IEEE, (2022)Borrow From Anywhere: Pseudo Multi-Modal Object Detection in Thermal Imagery., , , and . CVPR Workshops, page 1029-1038. Computer Vision Foundation / IEEE, (2019)A Framework for Learning Ante-hoc Explainable Models via Concepts., , , and . CVPR, page 10276-10285. IEEE, (2022)Proto2Proto: Can you recognize the car, the way I do?, , , and . CVPR, page 10223-10233. IEEE, (2022)On Challenges in Unsupervised Domain Generalization., , , and . Pre-Registration Workshop @ NeurIPS, volume 181 of Proceedings of Machine Learning Research, page 42-58. PMLR, (2021)Can we have it all? On the Trade-off between Spatial and Adversarial Robustness of Neural Networks., , , and . NeurIPS, page 27462-27474. (2021)