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BARACK: Partially Supervised Group Robustness With Guarantees, , , , , , and . arXiv preprint arXiv:2201.00072, (2021)FRAME: Evaluating Simulatability Metrics for Free-Text Rationales., , , , , , and . CoRR, (2022)Feature Selection for Facebook Feed Ranking System via a Group-Sparsity-Regularized Training Algorithm., , , , , , and . CIKM, page 2085-2088. ACM, (2019)Rapid Sequence Matching for Visualization Recommender Systems., , , and . Graphics Interface, page 5:1-5:8. Canadian Human-Computer Communications Society / ACM, (2019)AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning., , , , and . NeurIPS, (2022)MUSTIE: Multimodal Structural Transformer for Web Information Extraction., , , , , , , , , and . ACL (1), page 2405-2420. Association for Computational Linguistics, (2023)On the Equivalence of Graph Convolution and Mixup., , , , , , , , , and 2 other author(s). CoRR, (2023)Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-text Rationales., , , , , , , , and . ACL (1), page 7103-7128. Association for Computational Linguistics, (2023)Visualizing Deep Neural Networks for Text Analytics., , , , , , , and . PacificVis, page 180-189. IEEE Computer Society, (2018)COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation., , , , , , , and . EMNLP, page 13258-13275. Association for Computational Linguistics, (2023)