Paper

  • RKHS-SHAP: Shapley Values for Kernel Methods

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    RKHS-SHAP: Shapley Values for Kernel Methods

    Siu Lun Chau, Javier González, Robert Hu, Dino Sejdinovic p13050-13063 from Advances in Neural Information Processing Systems 35
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  • RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation

    Constantine Caramanis, Yonathan Efroni, Jeongyeol Kwon, Shie Mannor p82726-82756 from Advances in Neural Information Processing Systems 37
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  • RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-Fold

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-Fold

    Naman Garg, Saurabh Garg, Xinyang Geng, Aviral Kumar, Amrith Setlur, Virginia Smith p43000-43031 from Advances in Neural Information Processing Systems 37
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  • RL-based Stateful Neural Adaptive Sampling and Denoising for Real-Time Path Tracing

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    RL-based Stateful Neural Adaptive Sampling and Denoising for Real-Time Path Tracing

    Lukas Cavigelli, Lorenz K. Müller, Antoine Scardigli p66390-66407 from Advances in Neural Information Processing Systems 36
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  • RL-GPT: Integrating Reinforcement Learning and Code-as-policy

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    RL-GPT: Integrating Reinforcement Learning and Code-as-policy

    Yukang Chen, Minda Hu, Jiaya Jia, Yanwei Li, Shaoteng Liu, Shu Liu, Zongqing Lu, Haoqi Yuan p28430-28459 from Advances in Neural Information Processing Systems 37
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  • RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization

    Can Chang, Kaizhe Hu, Pu Hua, Huazhe Xu, Sizhe Yang, Zhecheng Yuan p6720-6747 from Advances in Neural Information Processing Systems 36
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  • RLE: A Unified Perspective of Data Augmentation for Cross-Spectral Re-Identification

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    RLE: A Unified Perspective of Data Augmentation for Cross-Spectral Re-Identification

    Pingyang Dai, Keke Han, Rongrong Ji, Tan Lei, Yongjian Wu, Yan Zhang, Yukang Zhang p126977-126996 from Advances in Neural Information Processing Systems 37
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  • RLIP: Relational Language-Image Pre-Training for Human-Object Interaction Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    RLIP: Relational Language-Image Pre-Training for Human-Object Interaction Detection

    Samuel Albanie, Tao Feng, Ziyuan Huang, Jianwen Jiang, Dong Ni, Mingqian Tang, Hangjie Yuan p37416-37431 from Advances in Neural Information Processing Systems 35
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  • RMLR: Extending Multinomial Logistic Regression into General Geometries

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    RMLR: Extending Multinomial Logistic Regression into General Geometries

    Ziheng Chen, Nicu Sebe, Yue Song, Rui Wang, Xiao-Jun Wu p59716-59754 from Advances in Neural Information Processing Systems 37
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  • RNN-BASED MONOTONIC LOADING BEHAVIOR PREDICTION OF CLT JOINTS

    World Conference on Timber Engineering 2023 (WCTE 2023)

    RNN-BASED MONOTONIC LOADING BEHAVIOR PREDICTION OF CLT JOINTS

    Yewei Ding, Haibei Xiong, Cheng Yuan, Lin Chen, Yurong Lu p1123-1128 from World Conference on Timber Engineering (WCTE 2023)
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  • RNNs of RNNs: Recursive Construction of Stable Assemblies of Recurrent Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    RNNs of RNNs: Recursive Construction of Stable Assemblies of Recurrent Neural Networks

    Michaela Ennis, Leo Kozachkov, Jean-Jacques Slotine p30512-30527 from Advances in Neural Information Processing Systems 35
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  • Road Network Representation Learning with the Third Law of Geography

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Road Network Representation Learning with the Third Law of Geography

    Yile Chen, Gao Cong, Tiantian He, Weiming Huang, Yew-Soon Ong, Haicang Zhou p11789-11813 from Advances in Neural Information Processing Systems 37
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