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Towards Robust Evaluations of Continual Learning., and . CoRR, (2018)Active Surrogate Estimators: An Active Learning Approach to Label-Efficient Model Evaluation., , , and . NeurIPS, (2022)Active Testing: Sample-Efficient Model Evaluation., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 5753-5763. PMLR, (2021)Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning., , , , , , , , , and 14 other author(s). CoRR, (2021)Liberty or Depth: Deep Bayesian Neural Nets Do Not Need Complex Weight Posterior Approximations., , and . NeurIPS, (2020)Do Bayesian Neural Networks Need To Be Fully Stochastic?, , , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 7694-7722. PMLR, (2023)Prioritized Training on Points that are Learnable, Worth Learning, and not yet Learnt., , , , , , , , , and 1 other author(s). ICML, volume 162 of Proceedings of Machine Learning Research, page 15630-15649. PMLR, (2022)Holistic Safety and Responsibility Evaluations of Advanced AI Models., , , , , , , , , and 9 other author(s). CoRR, (2024)Discovering Agents., , , , , and . CoRR, (2022)Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning, , and . (2019)cite arxiv:1907.00865.