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Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss.

, , , , , , , , , и . CoRR, (2024)

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Frustratingly Easy Domain Adaptation. Conference of the Association for Computational Linguistics (ACL), Prague, Czech Republic, (2007)Kernelized Sorting for Natural Language Processing., , и . AAAI, AAAI Press, (2010)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)Parser for Abstract Meaning Representation using Learning to Search., , , и . CoRR, (2015)Learning Reductions that Really Work., , , и . CoRR, (2015)Improving Fairness in Machine Learning Systems: What Do Industry Practitioners Need?, , , , и . CHI, стр. 600. ACM, (2019)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).Active Imitation Learning from Multiple Non-Deterministic Teachers: Formulation, Challenges, and Algorithms., и . CoRR, (2020)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)