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Stochastic Negative Mining for Learning with Large Output Spaces.

, , , , , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 1940-1949. PMLR, (2019)

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Sampling Techniques for the Nystrom Method., , and . AISTATS, volume 5 of JMLR Proceedings, page 304-311. JMLR.org, (2009)Stochastic Negative Mining for Learning with Large Output Spaces., , , , , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 1940-1949. PMLR, (2019)Binary embeddings with structured hashed projections., , , , , and . CoRR, (2015)Are Transformers universal approximators of sequence-to-sequence functions?, , , , and . CoRR, (2019)Learning to Screen for Fast Softmax Inference on Large Vocabulary Neural Networks., , , , and . CoRR, (2018)Why distillation helps: a statistical perspective., , , , and . CoRR, (2020)ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent., , , , , , , , , and 3 other author(s). CoRR, (2023)When does mixup promote local linearity in learned representations?, , , , , and . CoRR, (2022)Functional Interpolation for Relative Positions Improves Long Context Transformers., , , , , , , , , and . CoRR, (2023)A Weighted K-Center Algorithm for Data Subset Selection., , and . CoRR, (2023)