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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

On Reinforcement Learning and Distribution Matching for Fine-Tuning Language Models with No Catastrophic Forgetting

Tomasz Korbak, Hady Elsahar, Germán Kruszewski, Marc Dymetman p16203-16220 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

On Robust Multiclass Learnability

Jingyuan Xu, Weiwei Liu p32412-32423 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

On Robust Streaming for Learning with Experts: Algorithms and Lower Bounds

David Woodruff, Fred Zhang, Samson Zhou p79518-79539 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

On Sample Optimality in Personalized Collaborative and Federated Learning

Mathieu Even, Laurent Massoulié, Kevin Scaman p212-225 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling and Beyond

Thanh Nguyen-Tang, Raman Arora p61115-61157 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

On Sampling Strategies for Spectral Model Sharding

Denis Korzhenkov, Christos Louizos p61592-61620 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

On scalable oversight with weak LLMs judging strong LLMs

Zachary Kenton, Noah Siegel, János Kramár, Jonah Brown-Cohen, Samuel Albanie, Jannis Bulian, Rishabh Agarwal, David Lindner, Yunhao Tang, Noah Goodman, Rohin Shah p75229-75276 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

On Scalable Testing of Samplers

Yash Pote, Kuldeep S Meel p28068-28079 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

On Scrambling Phenomena for Randomly Initialized Recurrent Networks

Vaggos Chatziafratis, Ioannis Panageas, Clayton Sanford, Stelios Stavroulakis p18501-18513 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

On Separate Normalization in Self-supervised Transformers

Xiaohui Chen, Yinkai Wang, Yuanqi Du, Soha Hassoun, Liping Liu p44544-44557 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

On Single-Index Models beyond Gaussian Data

Aaron Zweig, Loucas Pillaud-Vivien, Joan Bruna p10210-10222 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

On skip connections and normalisation layers in deep optimisation

Lachlan Macdonald, Jack Valmadre, Hemanth Saratchandran, Simon Lucey p14705-14724 from Advances in Neural Information Processing Systems 36

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