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Distributionally Robust Neural Networks., , , and . ICLR, OpenReview.net, (2020)An asymptotic analysis of generative, discriminative, and pseudolikelihood estimators., and . ICML, volume 307 of ACM International Conference Proceeding Series, page 584-591. ACM, (2008)Strategies for Pre-training Graph Neural Networks, , , , , , and . arXiv:1905.12265 cs, stat, (February 2020)arXiv: 1905.12265.Llamas Know What GPTs Don't Show: Surrogate Models for Confidence Estimation., , and . CoRR, (2023)Distributionally robust neural networks for group shifts: On the importance of regularization for worst-case generalization, , , and . International Conference on Learning Representations (ICLR), (2020)Learning a SAT Solver from Single-Bit Supervision., , , , , and . CoRR, (2018)Improving Representational Continuity via Continued Pretraining., , , and . CoRR, (2023)Language-Driven Representation Learning for Robotics., , , , , , and . Robotics: Science and Systems, (2023)Synthesizing program input grammars., , , and . PLDI, page 95-110. ACM, (2017)Designing and Interpreting Probes with Control Tasks., and . EMNLP/IJCNLP (1), page 2733-2743. Association for Computational Linguistics, (2019)