Paper

  • CAT: Coordinating Anatomical-Textual Prompts for Multi-Organ and Tumor Segmentation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CAT: Coordinating Anatomical-Textual Prompts for Multi-Organ and Tumor Segmentation

    Zhongzhen Huang, Yankai Jiang, Rongzhao Zhang, Shaoting Zhang, Xiaofan Zhang p3588-3610 from Advances in Neural Information Processing Systems 37
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  • Catastrophic Goodhart: regularizing RLHF with KL divergence does not mitigate heavy-tailed reward misspecification

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Catastrophic Goodhart: regularizing RLHF with KL divergence does not mitigate heavy-tailed reward misspecification

    Thomas Kwa, Drake Thomas, Adrià Garriga-Alonso p14608-14633 from Advances in Neural Information Processing Systems 37
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  • Categorical Flow Matching on Statistical Manifolds

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Categorical Flow Matching on Statistical Manifolds

    Chaoran Cheng, Jiahan Li, Jian Peng, Ge Liu p54787-54819 from Advances in Neural Information Processing Systems 37
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  • Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions

    Kai Liu, Zhihang Fu, Chao Chen, Sheng Jin, Ze Chen, Mingyuan Tao, Rongxin Jiang, Jieping Ye p33241-33261 from Advances in Neural Information Processing Systems 36
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  • Category-Level 6D Object Pose Estimation in the Wild: A Semi-Supervised Learning Approach and a New Dataset

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Category-Level 6D Object Pose Estimation in the Wild: A Semi-Supervised Learning Approach and a New Dataset

    Yang Fu, Xiaolong Wang p27469-27483 from Advances in Neural Information Processing Systems 35
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  • CATER: Intellectual Property Protection on Text Generation APIs Via Conditional Watermarks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CATER: Intellectual Property Protection on Text Generation APIs Via Conditional Watermarks

    Xuanli He, Qiongkai Xu, Yi Zeng, Lingjuan Lyu, Fangzhao Wu, Jiwei Li, Ruoxi Jia p5431-5445 from Advances in Neural Information Processing Systems 35
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  • Causal Component Analysis

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Causal Component Analysis

    Liang Wendong, Armin Kekic, Julius Von Kügelgen, Simon Buchholz, Michel Besserve, Luigi Gresele, Bernhard Schölkopf p32481-32520 from Advances in Neural Information Processing Systems 36
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  • Causal Context Adjustment Loss for Learned Image Compression

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Causal Context Adjustment Loss for Learned Image Compression

    Minghao Han, Shiyin Jiang, Shengxi Li, Xin Deng, Mai Xu, Ce Zhu, Shuhang Gu p133231-133253 from Advances in Neural Information Processing Systems 37
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  • Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness

    Jacy Anthis, Victor Veitch p34122-34138 from Advances in Neural Information Processing Systems 36
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  • Causal Contrastive Learning for Counterfactual Regression Over Time

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Causal Contrastive Learning for Counterfactual Regression Over Time

    Mouad Bouchattaoui, Myriam Tami, Benoit Lepetit, Paul-Henry Cournède p1333-1369 from Advances in Neural Information Processing Systems 37
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  • Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data

    Siyuan Guo, Viktor Toth, Bernhard Schölkopf, Ferenc Huszar p36463-36475 from Advances in Neural Information Processing Systems 36
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  • Causal Deciphering and Inpainting in Spatio-Temporal Dynamics via Diffusion Model

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Causal Deciphering and Inpainting in Spatio-Temporal Dynamics via Diffusion Model

    Yifan Duan, Jian Zhao, Peng Cheng, Junyuan Mao, Hao Wu, Jingyu Xu, Shilong Wang, Caoyuan Ma, Kai Wang, Kun Wang, Xuelong Li p107604-107632 from Advances in Neural Information Processing Systems 37
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