Paper

  • Rethinking Image Restoration for Object Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Rethinking Image Restoration for Object Detection

    Xiaochun Cao, Wenqi Ren, Shangquan Sun, Tao Wang p4461-4474 from Advances in Neural Information Processing Systems 35
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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 Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial?

    Chuanhao Li, Yiming Liao, Karthik Abinav Sankararaman, Hongning Wang, Qifan Wang, Haifeng Xu, Fan Yao, Yan Zhu p74582-74601 from Advances in Neural Information Processing Systems 36
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  • Rethinking Individual Global Max in Cooperative Multi-Agent Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Rethinking Individual Global Max in Cooperative Multi-Agent Reinforcement Learning

    Yitian Hong, Yaochu Jin, Yang Tang p32438-32449 from Advances in Neural Information Processing Systems 35
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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 Knowledge Graph Evaluation Under the Open-World Assumption

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Rethinking Knowledge Graph Evaluation Under the Open-World Assumption

    Zhouchen Lin, Haotong Yang, Muhan Zhang p8374-8385 from Advances in Neural Information Processing Systems 35
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  • Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective

    Di He, Du Jiang, Liwei Wang, Bohang Zhang p19398-19413 from Advances in Neural Information Processing Systems 35
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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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