Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Rubik's Cube: High-Order Channel Interactions with a Hierarchical Receptive Field

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Rubik's Cube: High-Order Channel Interactions with a Hierarchical Receptive Field

    Naishan Zheng, Man Zhou, Chong Zhou, Chen Change Loy p18377-18390 from Advances in Neural Information Processing Systems 36
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  • Rule Based Rewards for Language Model Safety

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Rule Based Rewards for Language Model Safety

    Tong Mu, Alec Helyar, Johannes Heidecke, Joshua Achiam, Andrea Vallone, Ian Kivlichan, Molly Lin, Alex Beutel, John Schulman, Lilian Weng p108877-108901 from Advances in Neural Information Processing Systems 37
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  • Rule Extrapolation in Language Modeling: A Study of Compositional Generalization on OOD Prompts

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Rule Extrapolation in Language Modeling: A Study of Compositional Generalization on OOD Prompts

    Anna Mészáros, Szilvia Ujváry, Wieland Brendel, Patrik Reizinger, Ferenc Huszár p34870-34899 from Advances in Neural Information Processing Systems 37
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  • RVD: A Handheld Device-Based Fundus Video Dataset for Retinal Vessel Segmentation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    RVD: A Handheld Device-Based Fundus Video Dataset for Retinal Vessel Segmentation

    Md Wahiduzzaman Khan, Hongwei Sheng, Hu Zhang, Heming Du, Sen Wang, Minas Coroneo, Farshid Hajati, Sahar Shariflou, Michael Kalloniatis, Jack Phu, Ashish Agar, Zi Huang, S. Mojtaba Golzan, Xin Yu p18203-18224 from Advances in Neural Information Processing Systems 36
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  • RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models

    Zhuoran Jin, Pengfei Cao, Chenhao Wang, Zhitao He, Hongbang Yuan, Jiachun Li, Yubo Chen, Kang Liu, Jun Zhao p98213-98263 from Advances in Neural Information Processing Systems 37
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  • S$^{2}$FT: Efficient, Scalable and Generalizable LLM Fine-tuning by Structured Sparsity

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    S$^{2}$FT: Efficient, Scalable and Generalizable LLM Fine-tuning by Structured Sparsity

    Xinyu Yang, Jixuan Leng, Geyang Guo, Jiawei Zhao, Ryumei Nakada, Linjun Zhang, Huaxiu Yao, Beidi Chen p59912-59947 from Advances in Neural Information Processing Systems 37
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  • S-CLIP: Semi-supervised Vision-Language Learning using Few Specialist Captions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    S-CLIP: Semi-supervised Vision-Language Learning using Few Specialist Captions

    Sangwoo Mo, Minkyu Kim, Kyungmin Lee, Jinwoo Shin p61187-61212 from Advances in Neural Information Processing Systems 36
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  • S-MolSearch: 3D Semi-supervised Contrastive Learning for Bioactive Molecule Search

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    S-MolSearch: 3D Semi-supervised Contrastive Learning for Bioactive Molecule Search

    Gengmo Zhou, Zhen Wang, Feng Yu, Guolin Ke, Zhewei Wei, Zhifeng Gao p74715-74737 from Advances in Neural Information Processing Systems 37
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  • S-PIFu: Integrating Parametric Human Models with PIFu for Single-View Clothed Human Reconstruction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    S-PIFu: Integrating Parametric Human Models with PIFu for Single-View Clothed Human Reconstruction

    Kennard Chan, Guosheng Lin, Haiyu Zhao, Weisi Lin p17373-17385 from Advances in Neural Information Processing Systems 35
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  • S-Prompts Learning with Pre-Trained Transformers: An Occam’s Razor for Domain Incremental Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    S-Prompts Learning with Pre-Trained Transformers: An Occam’s Razor for Domain Incremental Learning

    Yabin Wang, Zhiwu Huang, Xiaopeng Hong p5682-5695 from Advances in Neural Information Processing Systems 35
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  • S-SOS: Stochastic Sum-Of-Squares for Parametric Polynomial Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    S-SOS: Stochastic Sum-Of-Squares for Parametric Polynomial Optimization

    Richard Zhu, Mathias Oster, Yuehaw Khoo p61621-61657 from Advances in Neural Information Processing Systems 37
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  • S-STE: Continuous Pruning Function for Efficient 2:4 Sparse Pre-training

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    S-STE: Continuous Pruning Function for Efficient 2:4 Sparse Pre-training

    Yuezhou Hu, Jun Zhu, Jianfei Chen p33756-33778 from Advances in Neural Information Processing Systems 37
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  • S2HPruner: Soft-to-Hard Distillation Bridges the Discretization Gap in Pruning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    S2HPruner: Soft-to-Hard Distillation Bridges the Discretization Gap in Pruning

    Weihao Lin, Shengji Tang, Chong Yu, Peng Ye, Tao Chen p116547-116574 from Advances in Neural Information Processing Systems 37
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  • S2P: State-Conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    S2P: State-Conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning

    Daesol Cho, Dongseok Shim, H. Jin Kim p11534-11546 from Advances in Neural Information Processing Systems 35
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  • S3GC: Scalable Self-Supervised Graph Clustering

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    S3GC: Scalable Self-Supervised Graph Clustering

    Fnu Devvrit, Aditya Sinha, Inderjit Dhillon, Prateek Jain p3248-3261 from Advances in Neural Information Processing Systems 35
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  • S4ND: Modeling Images and Videos as Multidimensional Signals with State Spaces

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    S4ND: Modeling Images and Videos as Multidimensional Signals with State Spaces

    Eric Nguyen, Karan Goel, Albert Gu, Gordon Downs, Preey Shah, Tri Dao, Stephen Baccus, Christopher Ré p2846-2861 from Advances in Neural Information Processing Systems 35
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  • SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models

    Shuchen Xue, Mingyang Yi, Weijian Luo, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma p77632-77674 from Advances in Neural Information Processing Systems 36
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  • SA3DIP: Segment Any 3D Instance with Potential 3D Priors

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SA3DIP: Segment Any 3D Instance with Potential 3D Priors

    Xi Yang, Xu Gu, Xingyilang Yin, Xinbo Gao p102568-102586 from Advances in Neural Information Processing Systems 37
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  • Saddle-to-Saddle Dynamics in Diagonal Linear Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Saddle-to-Saddle Dynamics in Diagonal Linear Networks

    Scott Pesme, Nicolas Flammarion p7475-7505 from Advances in Neural Information Processing Systems 36
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  • Safe and Efficient: A Primal-Dual Method for Offline Convex CMDPs under Partial Data Coverage

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Safe and Efficient: A Primal-Dual Method for Offline Convex CMDPs under Partial Data Coverage

    Haobo Zhang, Xiyue Peng, Honghao Wei, Xin Liu p34239-34269 from Advances in Neural Information Processing Systems 37
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  • Safe and Sparse Newton Method for Entropic-Regularized Optimal Transport

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Safe and Sparse Newton Method for Entropic-Regularized Optimal Transport

    Zihao Tang, Yixuan Qiu p129914-129943 from Advances in Neural Information Processing Systems 37
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  • Safe Exploitative Play with Untrusted Type Beliefs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Safe Exploitative Play with Untrusted Type Beliefs

    Tongxin Li, Tinashe Handina, Shaolei Ren, Adam Wierman p72901-72932 from Advances in Neural Information Processing Systems 37
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  • Safe Exploration in Reinforcement Learning: A Generalized Formulation and Algorithms

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Safe Exploration in Reinforcement Learning: A Generalized Formulation and Algorithms

    Akifumi Wachi, Wataru Hashimoto, Xun Shen, Kazumune Hashimoto p29252-29272 from Advances in Neural Information Processing Systems 36
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  • Safe LoRA: The Silver Lining of Reducing Safety Risks when Finetuning Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Safe LoRA: The Silver Lining of Reducing Safety Risks when Finetuning Large Language Models

    Chia-Yi Hsu, Yu-Lin Tsai, Chih-Hsun Lin, Pin-Yu Chen, Chia-Mu Yu, Chun-Ying Huang p65072-65094 from Advances in Neural Information Processing Systems 37
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