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Evaluating the Disentanglement of Deep Generative Models through Manifold Topology., , , , and . CoRR, (2020)Prototype Tasks: Improving Crowdsourcing Results through Rapid, Iterative Task Design., , , , , , , , , and 19 other author(s). CoRR, (2017)ForestNet: Classifying Drivers of Deforestation in Indonesia using Deep Learning on Satellite Imagery., , , , , , , , , and . CoRR, (2020)Boomerang: Rebounding the Consequences of Reputation Feedback on Crowdsourcing Platforms., , , , , , , , , and 27 other author(s). CoRR, (2019)Countdown Regression: Sharp and Calibrated Survival Predictions., , , , , and . UAI, volume 115 of Proceedings of Machine Learning Research, page 145-155. AUAI Press, (2019)In Search of the Dream Team: Temporally Constrained Multi-Armed Bandits for Identifying Effective Team Structures., , and . CHI, page 108. ACM, (2018)On the evaluation of deep generative models.. Stanford University, USA, (2021)Approximating Human Judgment of Generated Image Quality., , , , and . CoRR, (2019)Establishing an Evaluation Metric to Quantify Climate Change Image Realism., , , , and . CoRR, (2019)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models, , , , , , , , , and 441 other author(s). (2022)cite arxiv:2206.04615Comment: 27 pages, 17 figures + references and appendices, repo: https://github.com/google/BIG-bench.