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Robust Learning from Explanations.

J. Heo, V. Piratla, M. Wicker, and A. Weller. CoRR, (2023)

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Human-in-the-Loop Mixup.K. Collins, U. Bhatt, W. Liu, V. Piratla, I. Sucholutsky, B. Love, and A. Weller. UAI, volume 216 of Proceedings of Machine Learning Research, page 454-464. PMLR, (2023)Parallel Iterative Edit Models for Local Sequence Transduction.A. Awasthi, S. Sarawagi, R. Goyal, S. Ghosh, and V. Piratla. EMNLP/IJCNLP (1), page 4259-4269. Association for Computational Linguistics, (2019)Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations.V. Piratla, S. Chakrabarti, and S. Sarawagi. NeurIPS, page 23140-23151. (2021)Robustness, Evaluation and Adaptation of Machine Learning Models in the Wild.V. Piratla. CoRR, (2023)Estimation of Concept Explanations Should be Uncertainty Aware.V. Piratla, J. Heo, S. Singh, and A. Weller. CoRR, (2023)Web-based Elicitation of Human Perception on mixup Data.K. Collins, U. Bhatt, W. Liu, V. Piratla, B. Love, and A. Weller. CoRR, (2022)Historical Research Using Email Archives.S. Hangal, V. Piratla, C. Manovit, P. Chan, G. Edwards, and M. Lam. CHI Extended Abstracts, page 735-742. ACM, (2015)Focus on the Common Good: Group Distributional Robustness Follows.V. Piratla, P. Netrapalli, and S. Sarawagi. ICLR, OpenReview.net, (2022)Untapped Potential of Data Augmentation: A Domain Generalization Viewpoint.V. Piratla, and S. Shankar. CoRR, (2020)Generalizing Across Domains via Cross-Gradient Training.S. Shankar, V. Piratla, S. Chakrabarti, S. Chaudhuri, P. Jyothi, and S. Sarawagi. ICLR (Poster), OpenReview.net, (2018)

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Robust Learning from Explanations.

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Disambiguation of "Piratla, Vihari"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Robust Learning from Explanations.

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Robust Learning from Explanations.