Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • 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 Alignment in Video Super-Resolution Transformers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Rethinking Alignment in Video Super-Resolution Transformers

    Chao Dong, Jinjin Gu, Shuwei Shi, Xintao Wang, Liangbin Xie, Yujiu Yang p36081-36093 from Advances in Neural Information Processing Systems 35
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  • Rethinking and Improving Robustness of Convolutional Neural Networks: A Shapley Value-Based Approach in Frequency Domain

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Rethinking and Improving Robustness of Convolutional Neural Networks: A Shapley Value-Based Approach in Frequency Domain

    Yiting Chen, Qibing Ren, Junchi Yan p324-337 from Advances in Neural Information Processing Systems 35
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  • Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination

    Vincent CS Lee, Shirui Pan, Philip S Yu, Yu Zheng, Yizhen Zheng p10809-10820 from Advances in Neural Information Processing Systems 35
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  • Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition

    John Dickerson, Samuel Dooley, Micah Goldblum, Frank Hutter, Rhea Sukthanker, Colin White p74366-74393 from Advances in Neural Information Processing Systems 36
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  • Rethinking Conditional Diffusion Sampling with Progressive Guidance

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Rethinking Conditional Diffusion Sampling with Progressive Guidance

    Anh-Dung Dinh, Daochang Liu, Chang Xu p42285-42297 from Advances in Neural Information Processing Systems 36
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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 Gauss-Newton for learning over-parameterized models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Rethinking Gauss-Newton for learning over-parameterized models

    Michael Arbel, Romain Menegaux, Pierre Wolinski p33379-33402 from Advances in Neural Information Processing Systems 36
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  • Rethinking Generalization in Few-Shot Classification

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Rethinking Generalization in Few-Shot Classification

    Tom Drummond, Mehrtash Harandi, Markus Hiller, Rongkai Ma p3582-3595 from Advances in Neural Information Processing Systems 35
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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 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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