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Responsible computing during COVID-19 and beyond.

, , , , , , , , , , , , , , и . Commun. ACM, 64 (7): 30-32 (2021)

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Learning as search optimization: approximate large margin methods for structured prediction., и . ICML, том 119 из ACM International Conference Proceeding Series, стр. 169-176. ACM, (2005)Kernelized Sorting for Natural Language Processing., , и . AAAI, AAAI Press, (2010)Improving Fairness in Machine Learning Systems: What Do Industry Practitioners Need?, , , , и . CHI, стр. 600. ACM, (2019)Active Imitation Learning from Multiple Non-Deterministic Teachers: Formulation, Challenges, and Algorithms., и . CoRR, (2020)Improving fairness in machine learning systems: What do industry practitioners need?, , , , и . (2018)cite arxiv:1812.05239Comment: To appear in the 2019 ACM CHI Conference on Human Factors in Computing Systems (CHI 2019).Frustratingly Easy Domain Adaptation. Conference of the Association for Computational Linguistics (ACL), Prague, Czech Republic, (2007)Bayesian Agglomerative Clustering with Coalescents, , и . Advances in Neural Information Processing Systems (NIPS), (2008)A Human-Centered Interpretability Framework Based on Weight of Evidence., , , , и . CoRR, (2021)Toxicity Detection is NOT all you Need: Measuring the Gaps to Supporting Volunteer Content Moderators., , , , , и . CoRR, (2023)DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization., , , , , , , , , и 5 other автор(ы). CoRR, (2023)