Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • RouterDC: Query-Based Router by Dual Contrastive Learning for Assembling Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    RouterDC: Query-Based Router by Dual Contrastive Learning for Assembling Large Language Models

    Shuhao Chen, Weisen Jiang, James Kwok, Baijiong Lin, Yu Zhang p66305-66328 from Advances in Neural Information Processing Systems 37
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  • RSA: Resolving Scale Ambiguities in Monocular Depth Estimators through Language Descriptions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    RSA: Resolving Scale Ambiguities in Monocular Depth Estimators through Language Descriptions

    Byung-Woo Hong, Dong Lao, Hyoungseob Park, Stefano Soatto, Daniel Wang, Alex Wong, Yangchao Wu, Fengyu Yang, Ziyao Zeng p112684-112705 from Advances in Neural Information Processing Systems 37
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  • RTify: Aligning Deep Neural Networks with Human Behavioral Decisions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    RTify: Aligning Deep Neural Networks with Human Behavioral Decisions

    Sixuan Chen, Yu-Ang Cheng, Kohitij Kar, Ivan Rodriguez, Thomas Serre, Takeo Watanabe p130485-130510 from Advances in Neural Information Processing Systems 37
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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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  • 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-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-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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  • 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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  • 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 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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  • Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel

    Giulia De Pasquale, Jialin Li, John Lygeros, Alisa Rupenyan, Marta Zagorowska p95326-95355 from Advances in Neural Information Processing Systems 37
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  • SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Models

    Shouhong Ding, Weiran Huang, Ke Yan, Xuerui Zhang, Linglan Zhao p113772-113796 from Advances in Neural Information Processing Systems 37
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  • SafeSora: Towards Safety Alignment of Text2Video Generation via a Human Preference Dataset

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SafeSora: Towards Safety Alignment of Text2Video Generation via a Human Preference Dataset

    Taiye Chen, Tianle Chen, Juntao Dai, Jiaming Ji, Xuyao Wang, Yaodong Yang, Ziran Yang p17161-17214 from Advances in Neural Information Processing Systems 37
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  • Safety through feedback in Constrained RL

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Safety through feedback in Constrained RL

    Praveen Paruchuri, Shashank Reddy Chirra, Pradeep Varakantham p139938-139967 from Advances in Neural Information Processing Systems 37
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  • Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress?

    Steven Basart, Stephen Fitz, Alice Gatti, Dan Hendrycks, Adam Khoja, Ryan Kim, Mantas Mazeika, Gabriel Mukobi, Alexander Pan, Long Phan, Richard Ren, Xuwang Yin p68559-68594 from Advances in Neural Information Processing Systems 37
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  • SafeWorld: Geo-Diverse Safety Alignment

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SafeWorld: Geo-Diverse Safety Alignment

    Kai-Wei Chang, Kung-Hsiang Huang, Nanyun Peng, Haoyi Qiu, Da Yin p128734-128768 from Advances in Neural Information Processing Systems 37
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  • Saliency-driven Experience Replay for Continual Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Saliency-driven Experience Replay for Continual Learning

    Giovanni Bellitto, Lorenzo Bonicelli, Matteo Boschini, Simone Calderara, Simone Palazzo, Matteo Pennisi, Angelo Porrello, Federica Salanitri, Concetto Spampinato p103356-103383 from Advances in Neural Information Processing Systems 37
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  • SAM-Guided Masked Token Prediction for 3D Scene Understanding

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SAM-Guided Masked Token Prediction for 3D Scene Understanding

    Zhimin Chen, Longlong Jing, Bing Li, Yingwei Li, Liang Yang p82962-82981 from Advances in Neural Information Processing Systems 37
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