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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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  • Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy

    Fanchen Bu, Shinhwan Kang, Kyungho Kim, Sunwoo Kim, Soo Yong Lee, Kijung Shin, Jaemin Yoo p95931-95962 from Advances in Neural Information Processing Systems 37
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  • Rethinking Rover Design with Reconfigurable Robotics

    International Astronautical Federation (IAF)

    Rethinking Rover Design with Reconfigurable Robotics

    Rithesh Murarishetty, Rishikesh G, Aryan Tyagi, Neehal Sharrma, Shwetha Bachchan, Ankitha Shet p1353-1359 from IAF Space Exploration Symposium
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