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

    John Aslanides, Michiel Bakker, Jan Balaguer, Matt Botvinick, Lucy Campbell-Gillingham, Martin Chadwick, Amelia Glaese, Nat McAleese, Hannah Sheahan, Christopher Summerfield, Michael Tessler 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

    Sanjeev Arora, Danqi Chen, Alex Damian, Tianyu Gao, Jason Lee, Sadhika Malladi, Eshaan Nichani 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

    Hao Bai, Yann LeCun, Sergey Levine, Zipeng Lin, Yi Ma, Jiayi Pan, Alane Suhr, Shengbang Tong, Saining Xie, Yuexiang Zhai, Yifei Zhou 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

    Zhi Jin, Ge Li, Jia Li, Haojie Zhang, Zhongjin Zhang, Yuqi Zhu 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

    Nanyi Fei, Xiaolong He, Dong Jing, Zhiwu Lu, Yutian Luo, Wei Wei, Guoxing Yang, Huiwen Zhao p27896-27918 from Advances in Neural Information Processing Systems 37
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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

    Zhongang Cai, Huirong Li, Ziwei Liu, Jiawei Ren, Lei Yang, Mingyuan Zhang p13981-13992 from Advances in Neural Information Processing Systems 36
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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

    Irfan Essa, Meera Hahn, Humphrey Shi, Kihyuk Sohn, Gong Zhang 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

    David Arbour, Mehrdad Ghadiri, Tung Mai, Cameron Musco, Anup B. Rao p74180-74212 from Advances in Neural Information Processing Systems 36
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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

    Koby Crammer, Mark Kozdoba, Shie Mannor, Edward Moroshko p24380-24391 from Advances in Neural Information Processing Systems 35
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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

    Dongsheng Li, Tao Sun, 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 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

    Jian Li, Guojun Xiong p29048-29073 from Advances in Neural Information Processing Systems 36
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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, Constantine Caramanis, Sumeet Katariya, Branislav Kveton, 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

    Anima Anandkumar, Tianyuan Jin, Xiaokui Xiao, Pan Xu p38475-38487 from Advances in Neural Information Processing Systems 35
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  • FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning

    Jiechao Gao, Jian Guo, Xiao-Yang Liu, Jingyang Rui, Zhaoran Wang, Christina Wang, Ziyi Xia, Hongyang Yang, Ming Zhu p1835-1849 from Advances in Neural Information Processing Systems 35
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  • FIRAL: An Active Learning Algorithm for Multinomial Logistic Regression

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FIRAL: An Active Learning Algorithm for Multinomial Logistic Regression

    George Biros, Youguang Chen p65894-65905 from Advances in Neural Information Processing Systems 36
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  • FIRE: A Dataset for Feedback Integration and Refinement Evaluation of Multimodal Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FIRE: A Dataset for Feedback Integration and Refinement Evaluation of Multimodal Models

    Zhi Gao, Mehrtash Harandi, Yunde Jia, Pengxiang Li, Qing Li, Yuwei Wu, Tao Yuan, Bofei Zhang, Song-Chun Zhu p101618-101640 from Advances in Neural Information Processing Systems 37
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  • FIRE: Semantic Field of Words Represented as Non-Linear Functions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FIRE: Semantic Field of Words Represented as Non-Linear Functions

    Xin Du, Kumiko Tanaka-Ishii p37095-37107 from Advances in Neural Information Processing Systems 35
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  • First Contact: Unsupervised Human-Machine Co-Adaptation Via Mutual Information Maximization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    First Contact: Unsupervised Human-Machine Co-Adaptation Via Mutual Information Maximization

    Anca Dragan, Sergey Levine, Siddharth Reddy p31542-31556 from Advances in Neural Information Processing Systems 35
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  • First Hitting Diffusion Models for Generating Manifold, Graph and Categorical Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    First Hitting Diffusion Models for Generating Manifold, Graph and Categorical Data

    Qiang Liu, Lemeng Wu, Mao Ye p27280-27292 from Advances in Neural Information Processing Systems 35
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  • First is Better than Last for Language Data Influence

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    First is Better than Last for Language Data Influence

    Frederick Liu, Pradeep Ravikumar, Mukund Sundararajan, Ankur Taly, Chih-Kuan Yeh p32285-32298 from Advances in Neural Information Processing Systems 35
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