Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Reranking Laws for Language Generation: A Communication-Theoretic Perspective

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Reranking Laws for Language Generation: A Communication-Theoretic Perspective

    António Farinhas, Haau-Sing Li, André Martins p111074-111105 from Advances in Neural Information Processing Systems 37
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  • ResAD: A Simple Framework for Class Generalizable Anomaly Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ResAD: A Simple Framework for Class Generalizable Anomaly Detection

    Zixin Chen, Chao Gao, Xincheng Yao, Guangtao Zhai, Chongyang Zhang p125287-125311 from Advances in Neural Information Processing Systems 37
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  • Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual Noise

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual Noise

    Changsheng Dong, Huazhu Fu, Along He, Tao Li, Bin Pan, Zhenning Shi, Xueshuo Xie, Chen Xu, Haoshuai Zheng p130664-130693 from Advances in Neural Information Processing Systems 37
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  • Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization

    Bernd Bischl, Matthias Feurer, Thomas Nagler, Lennart Schneider p40486-40533 from Advances in Neural Information Processing Systems 37
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  • Resolving Discrepancies in Compute-Optimal Scaling of Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Resolving Discrepancies in Compute-Optimal Scaling of Language Models

    Yair Carmon, Jenia Jitsev, Tomer Porian, Ludwig Schmidt, Mitchell Wortsman p100535-100570 from Advances in Neural Information Processing Systems 37
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  • Resource-Aware Federated Self-Supervised Learning with Global Class Representations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Resource-Aware Federated Self-Supervised Learning with Global Class Representations

    Mingyi Li, Tengfei Liu, Qi Wang, Weiqiang Wang, Ruofan Wu, Hui Xiong, Dongxiao Yu, Xiao Zhang, Fuzhen Zhuang p10008-10035 from Advances in Neural Information Processing Systems 37
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  • ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

    Yuxiao Dong, Ziniu Hu, Jie Tang, Yisong Yue, Dan Zhang, Sining Zhoubian p64735-64772 from Advances in Neural Information Processing Systems 37
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  • RestoreAgent: Autonomous Image Restoration Agent via Multimodal Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    RestoreAgent: Autonomous Image Restoration Agent via Multimodal Large Language Models

    Haoyu Chen, Sixiang Chen, Jinjin Gu, Wenbo Li, Renjing Pei, Jingjing Ren, Fenglong Song, Tian Ye, Kaiwen Zhou, Lei Zhu p110643-110666 from Advances in Neural Information Processing Systems 37
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  • Rethinking 3D Convolution in $\ell_p$-norm Space

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Rethinking 3D Convolution in $\ell_p$-norm Space

    Liu Liu, Zhe Min, Jianan Wang, Rujing Wang, Li Zhang, Yan Zhong p91012-91035 from Advances in Neural Information Processing Systems 37
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  • Rethinking Decoders for Transformer-based Semantic Segmentation: A Compression Perspective

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Rethinking Decoders for Transformer-based Semantic Segmentation: A Compression Perspective

    Chun-Guang Li, Qishuai Wen p49806-49833 from Advances in Neural Information Processing Systems 37
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  • Rethinking Deep Thinking: Stable Learning of Algorithms using Lipschitz Constraints

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Rethinking Deep Thinking: Stable Learning of Algorithms using Lipschitz Constraints

    Jay Bear, Jonathon Hare, Adam Prügel-Bennett p97027-97052 from Advances in Neural Information Processing Systems 37
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  • Rethinking Exploration in Reinforcement Learning with Effective Metric-Based Exploration Bonus

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Rethinking Exploration in Reinforcement Learning with Effective Metric-Based Exploration Bonus

    Furui Liu, Leong Hou U, Yiming Wang, Kaiyan Zhao p57765-57792 from Advances in Neural Information Processing Systems 37
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  • Rethinking Fourier Transform from A Basis Functions Perspective for Long-term Time Series Forecasting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Rethinking Fourier Transform from A Basis Functions Perspective for Long-term Time Series Forecasting

    Longbing Cao, Jianxun Li, Jie Yang, Runze Yang p8515-8540 from Advances in Neural Information Processing Systems 37
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  • Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality

    Ziyao Guo, Ping Luo, Langtian Ma, Yu Qiao, Wenqi Shao, Kai Wang, Yuchen Yan, Yue Yang, Yang You, Kaipeng Zhang, Tianle Zhang, Yuchen Zhang p81677-81716 from Advances in Neural Information Processing Systems 37
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  • Rethinking Imbalance in Image Super-Resolution for Efficient Inference

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Rethinking Imbalance in Image Super-Resolution for Efficient Inference

    Xiangyang Ji, Jianing Li, Qinglin Liu, Bowen Yang, Wei Yu, Shengping Zhang p6860-6883 from Advances in Neural Information Processing Systems 37
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  • Rethinking Inverse Reinforcement Learning: from Data Alignment to Task Alignment

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Rethinking Inverse Reinforcement Learning: from Data Alignment to Task Alignment

    Wenchao Li, Weichao Zhou p27647-27688 from Advances in Neural Information Processing Systems 37
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  • Rethinking LLM Memorization through the Lens of Adversarial Compression

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Rethinking LLM Memorization through the Lens of Adversarial Compression

    Zhili Feng, J. Kolter, Zachary Lipton, Pratyush Maini, Avi Schwarzschild p56244-56267 from Advances in Neural Information Processing Systems 37
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  • Rethinking Memory and Communication Costs for Efficient Data Parallel Training of Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Rethinking Memory and Communication Costs for Efficient Data Parallel Training of Large Language Models

    Zhiming Fan, Zhaoxin Huan, Jinjing Huang, Lin Ju, Siyuan Li, Lei Liang, Fanzhuang Meng, Chan Wu, Youshao Xiao, Hanxiao Zhang, Xiaolu Zhang, Jun Zhou, Zhenglei Zhou p28191-28218 from Advances in Neural Information Processing Systems 37
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  • Rethinking Misalignment in Vision-Language Model Adaptation from a Causal Perspective

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Rethinking Misalignment in Vision-Language Model Adaptation from a Causal Perspective

    Jiangmeng Li, Lixiang Liu, Wenwen Qiang, Yanan Zhang p39224-39248 from Advances in Neural Information Processing Systems 37
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  • Rethinking Model-based, Policy-based, and Value-based Reinforcement Learning via the Lens of Representation Complexity

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Rethinking Model-based, Policy-based, and Value-based Reinforcement Learning via the Lens of Representation Complexity

    Guhao Feng, Han Zhong p8569-8611 from Advances in Neural Information Processing Systems 37
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  • Rethinking No-reference Image Exposure Assessment from Holism to Pixel: Models, Datasets and Benchmarks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Rethinking No-reference Image Exposure Assessment from Holism to Pixel: Models, Datasets and Benchmarks

    Shuai He, Huadong Ma, Anlong Ming, Banyu Wu, Shuntian Zheng p131596-131617 from Advances in Neural Information Processing Systems 37
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  • Rethinking Optimal Transport in Offline Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Rethinking Optimal Transport in Offline Reinforcement Learning

    Arip Asadulaev, Evgeny Burnaev, Vage Egiazarian, Andrey Filchenkov, Alexander Korotin, Rostislav Korst p123592-123607 from Advances in Neural Information Processing Systems 37
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  • Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution

    Chao Chen, Yaowu Chen, Ze Chen, Zhihang Fu, Rongxin Jiang, Sheng Jin, Kai Liu, Jieping Ye, Fan Zhou p109152-109176 from Advances in Neural Information Processing Systems 37
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  • Rethinking Parity Check Enhanced Symmetry-Preserving Ansatz

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Rethinking Parity Check Enhanced Symmetry-Preserving Ansatz

    Kaiseng Pan, Mengfei Ran, Ruocheng Wang, Ge Yan, Junchi Yan p65020-65047 from Advances in Neural Information Processing Systems 37
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