Paper

  • 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

    Chao Chen, Ze Chen, Zhihang Fu, Rongxin Jiang, Sheng Jin, Kai Liu, Mingyuan Tao, 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

    Xiaolong Wang, Yang Fu 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, Ruoxi Jia, Jiwei Li, Lingjuan Lyu, Fangzhao Wu, Qiongkai Xu, Yi Zeng 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

    Michel Besserve, Simon Buchholz, Luigi Gresele, Armin Kekic, Bernhard Schölkopf, Julius Von Kügelgen, Liang Wendong 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

    Xin Deng, Shuhang Gu, Minghao Han, Shiyin Jiang, Shengxi Li, Mai Xu, Ce Zhu 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, Paul-Henry Cournède, Benoit Lepetit, Myriam Tami 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, Ferenc Huszar, Bernhard Schölkopf, Viktor Toth 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

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

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Causal Dependence Plots

    Lucius Bynum, Sakina Hansen, Joshua Loftus p112656-112683 from Advances in Neural Information Processing Systems 37
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  • Causal Discovery from Event Sequences by Local Cause-Effect Attribution

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Causal Discovery from Event Sequences by Local Cause-Effect Attribution

    Joscha Cüppers, Ahmed Musa, Jilles Vreeken, Sascha Xu p24216-24241 from Advances in Neural Information Processing Systems 37
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  • Causal discovery from observational and interventional data across multiple environments

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Causal discovery from observational and interventional data across multiple environments

    Elias Bareinboim, Amin Jaber, Adam Li p16942-16956 from Advances in Neural Information Processing Systems 36
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