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

    Chen Change Loy, Naishan Zheng, Man Zhou, Chong Zhou 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

    Joshua Achiam, Alex Beutel, Johannes Heidecke, Alec Helyar, Ian Kivlichan, Molly Lin, Tong Mu, John Schulman, Andrea Vallone, 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

    Wieland Brendel, Ferenc Huszár, Anna Mészáros, Patrik Reizinger, Szilvia Ujváry 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

    Ashish Agar, Minas Coroneo, Heming Du, S. Mojtaba Golzan, Farshid Hajati, Zi Huang, Michael Kalloniatis, Md Wahiduzzaman Khan, Jack Phu, Sahar Shariflou, Hongwei Sheng, Sen Wang, Xin Yu, Hu Zhang 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

    Pengfei Cao, Yubo Chen, Zhitao He, Zhuoran jin, Jiachun Li, Kang Liu, Chenhao Wang, Hongbang Yuan, 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

    Beidi Chen, Geyang Guo, Jixuan Leng, Ryumei Nakada, Xinyu Yang, Huaxiu Yao, Linjun Zhang, Jiawei Zhao 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

    Minkyu Kim, Kyungmin Lee, Sangwoo Mo, 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

    Zhifeng Gao, Guolin Ke, Zhen Wang, Zhewei Wei, Feng Yu, Gengmo Zhou 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, Weisi Lin, Haiyu Zhao 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

    Xiaopeng Hong, Zhiwu Huang, Yabin Wang 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

    Yuehaw Khoo, Mathias Oster, Richard Zhu 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

    Jianfei Chen, Yuezhou Hu, Jun Zhu 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

    Tao Chen, Weihao Lin, Shengji Tang, Peng Ye, Chong Yu 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, H. Jin Kim, Dongseok Shim 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, Inderjit Dhillon, Prateek Jain, Aditya Sinha 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

    Stephen Baccus, Tri Dao, Gordon Downs, Karan Goel, Albert Gu, Eric Nguyen, Christopher Ré, Preey Shah 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

    Zhenguo Li, Weijian Luo, Zhi-Ming Ma, Jiacheng Sun, Shuchen Xue, Mingyang Yi, Shifeng Zhang 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

    Xinbo Gao, Xu Gu, Xi Yang, Xingyilang Yin 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

    Nicolas Flammarion, Scott Pesme 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

    Xin Liu, Xiyue Peng, Honghao Wei, Haobo Zhang 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

    Yixuan Qiu, Zihao Tang 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

    Tinashe Handina, Tongxin Li, 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

    Kazumune Hashimoto, Wataru Hashimoto, Xun Shen, Akifumi Wachi 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

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