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PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures., , , , , , and . CVPR, page 16762-16771. IEEE, (2022)AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty., , , , , and . CoRR, (2019)What Would Jiminy Cricket Do? Towards Agents That Behave Morally., , , , , , , , and . NeurIPS Datasets and Benchmarks, (2021)CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review., , , and . NeurIPS Datasets and Benchmarks, (2021)Measuring Massive Multitask Language Understanding., , , , , , and . ICLR, OpenReview.net, (2021)Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the Machiavelli Benchmark., , , , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 26837-26867. PMLR, (2023)A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks., and . International Conference on Learning Representations ICLR (Poster), OpenReview.net, (2017)VisDA-2021 Competition Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data., , , , , , , and . CoRR, (2021)Benchmarking Neural Network Robustness to Common Corruptions and Perturbations., and . ICLR (Poster), OpenReview.net, (2019)VisDA-2021 Competition: Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data., , , , , , , , , and 1 other author(s). NeurIPS (Competition and Demos), volume 176 of Proceedings of Machine Learning Research, page 66-79. PMLR, (2021)