Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Fine-Tuning Language Models to Find Agreement Among Humans with Diverse Preferences

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Fine-Tuning Language Models to Find Agreement Among Humans with Diverse Preferences

    Michiel Bakker, Martin Chadwick, Hannah Sheahan, Michael Tessler, Lucy Campbell-Gillingham, Jan Balaguer, Nat McAleese, Amelia Glaese, John Aslanides, Matt Botvinick, Christopher Summerfield p38176-38189 from Advances in Neural Information Processing Systems 35
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  • Fine-Tuning Language Models with Just Forward Passes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Fine-Tuning Language Models with Just Forward Passes

    Sadhika Malladi, Tianyu Gao, Eshaan Nichani, Alex Damian, Jason Lee, Danqi Chen, Sanjeev Arora p53038-53075 from Advances in Neural Information Processing Systems 36
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  • Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning

    Yuexiang Zhai, Hao Bai, Zipeng Lin, Jiayi Pan, Shengbang Tong, Yifei Zhou, Alane Suhr, Saining Xie, Yann Lecun, Yi Ma, Sergey Levine p110935-110971 from Advances in Neural Information Processing Systems 37
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  • Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients

    Youssef Allouah, Abdellah El Mrini, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot p100816-100844 from Advances in Neural Information Processing Systems 37
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  • Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively

    Haojie Zhang, Ge Li, Jia Li, Zhongjin Zhang, Yuqi Zhu, Zhi Jin p21442-21454 from Advances in Neural Information Processing Systems 35
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  • FineCLIP: Self-distilled Region-based CLIP for Better Fine-grained Understanding

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FineCLIP: Self-distilled Region-based CLIP for Better Fine-grained Understanding

    Dong Jing, Xiaolong He, Yutian Luo, Nanyi Fei, Guoxing Yang, Wei Wei, Huiwen Zhao, Zhiwu Lu p27896-27918 from Advances in Neural Information Processing Systems 37
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  • FineGRAIN: Evaluating Failure Modes of Text-to-Image Models with Vision Language Model Judges

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FineGRAIN: Evaluating Failure Modes of Text-to-Image Models with Vision Language Model Judges

    Kevin Hayes, Micah Goldblum, Vikash Sehwag, Gowthami Somepalli, Ashwinee Panda, Tom Goldstein p132119-132143 from Advances in Neural Information Processing Systems 38
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  • FineMoGen: Fine-Grained Spatio-Temporal Motion Generation and Editing

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FineMoGen: Fine-Grained Spatio-Temporal Motion Generation and Editing

    Mingyuan Zhang, Huirong Li, Zhongang Cai, Jiawei Ren, Lei Yang, Ziwei Liu p13981-13992 from Advances in Neural Information Processing Systems 36
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  • FineRS: Fine-grained Reasoning and Segmentation of Small Objects with Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FineRS: Fine-grained Reasoning and Segmentation of Small Objects with Reinforcement Learning

    Lu Zhang, Jiazuo Yu, Haomiao Xiong, Ping Hu, Yunzhi Zhuge, Huchuan Lu, You He p75096-75119 from Advances in Neural Information Processing Systems 38
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  • FineStyle: Fine-grained Controllable Style Personalization for Text-to-image Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FineStyle: Fine-grained Controllable Style Personalization for Text-to-image Models

    Gong Zhang, Kihyuk Sohn, Meera Hahn, Humphrey Shi, Irfan Essa p52937-52961 from Advances in Neural Information Processing Systems 37
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  • Finite Population Regression Adjustment and Non-asymptotic Guarantees for Treatment Effect Estimation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Finite Population Regression Adjustment and Non-asymptotic Guarantees for Treatment Effect Estimation

    Mehrdad Ghadiri, David Arbour, Tung Mai, Cameron Musco, Anup B. Rao p74180-74212 from Advances in Neural Information Processing Systems 36
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  • Finite Sample Analyses for Continuous-time Linear Systems: System Identification and Online Control

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Finite Sample Analyses for Continuous-time Linear Systems: System Identification and Online Control

    Hongyi Zhou, Jingwei Li, Jingzhao Zhang p35986-36033 from Advances in Neural Information Processing Systems 38
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  • Finite Sample Analysis of Dynamic Regression Parameter Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Finite Sample Analysis of Dynamic Regression Parameter Learning

    Mark Kozdoba, Edward Moroshko, Shie Mannor, Yacov Crammer p24380-24391 from Advances in Neural Information Processing Systems 35
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  • Finite Sample Analysis of Linear Temporal Difference Learning with Arbitrary Features

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Finite Sample Analysis of Linear Temporal Difference Learning with Arbitrary Features

    Zixuan Xie, Xinyu Liu, Rohan Chandra, Shangtong Zhang p106430-106462 from Advances in Neural Information Processing Systems 38
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  • Finite-Sample Analysis of Policy Evaluation for Robust Average Reward Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Finite-Sample Analysis of Policy Evaluation for Robust Average Reward Reinforcement Learning

    Yang Xu, Washim Mondal, Vaneet Aggarwal p168596-168641 from Advances in Neural Information Processing Systems 38
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  • Finite-Sample Maximum Likelihood Estimation of Location

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Finite-Sample Maximum Likelihood Estimation of Location

    Shivam Gupta, Jasper Lee, Eric Price, Paul Valiant p30139-30149 from Advances in Neural Information Processing Systems 35
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  • Finite-Time Analysis of Adaptive Temporal Difference Learning with Deep Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Finite-Time Analysis of Adaptive Temporal Difference Learning with Deep Neural Networks

    Tao Sun, Dongsheng Li, Bao Wang p19592-19604 from Advances in Neural Information Processing Systems 35
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  • Finite-Time Analysis of Single-Timescale Actor-Critic

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Finite-Time Analysis of Single-Timescale Actor-Critic

    Xuyang Chen, Lin Zhao p7017-7049 from Advances in Neural Information Processing Systems 36
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  • Finite-Time Analysis of Stochastic Nonconvex Nonsmooth Optimization on the Riemannian Manifolds

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Finite-Time Analysis of Stochastic Nonconvex Nonsmooth Optimization on the Riemannian Manifolds

    Emre Sahinoglu, Youbang Sun, Shahin Shahrampour p148681-148701 from Advances in Neural Information Processing Systems 38
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  • Finite-Time Analysis of Whittle Index based Q-Learning for Restless Multi-Armed Bandits with Neural Network Function Approximation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Finite-Time Analysis of Whittle Index based Q-Learning for Restless Multi-Armed Bandits with Neural Network Function Approximation

    Guojun Xiong, Jian Li p29048-29073 from Advances in Neural Information Processing Systems 36
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  • Finite-Time Bounds for Average-Reward Fitted Q-Iteration

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Finite-Time Bounds for Average-Reward Fitted Q-Iteration

    Jongmin Lee, Ernest Ryu p132144-132177 from Advances in Neural Information Processing Systems 38
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  • Finite-Time Last-Iterate Convergence for Learning in Multi-Player Games

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Finite-Time Last-Iterate Convergence for Learning in Multi-Player Games

    Yang Cai, Argyris Oikonomou, Weiqiang Zheng p33904-33919 from Advances in Neural Information Processing Systems 35
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  • Finite-Time Logarithmic Bayes Regret Upper Bounds

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Finite-Time Logarithmic Bayes Regret Upper Bounds

    Alexia Atsidakou, Branislav Kveton, Sumeet Katariya, Constantine Caramanis, Sujay Sanghavi p4331-4350 from Advances in Neural Information Processing Systems 36
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  • Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits

    Tianyuan Jin, Pan Xu, Xiaokui Xiao, Anima Anandkumar p38475-38487 from Advances in Neural Information Processing Systems 35
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