Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Cascading Bandits: Optimizing Recommendation Frequency in Delayed Feedback Environments

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Cascading Bandits: Optimizing Recommendation Frequency in Delayed Feedback Environments

    Dairui Wang, Junyu Cao, Yan Zhang, Wei Qi p78894-78905 from Advances in Neural Information Processing Systems 36
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  • Cascading Contextual Assortment Bandits

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Cascading Contextual Assortment Bandits

    Hyun-Jun Choi, Rajan Udwani, Min-Hwan Oh p23441-23452 from Advances in Neural Information Processing Systems 36
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  • CAST: Cross-Attention in Space and Time for Video Action Recognition

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CAST: Cross-Attention in Space and Time for Video Action Recognition

    Dongho Lee, Jongseo Lee, Jinwoo Choi p79399-79425 from Advances in Neural Information Processing Systems 36
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  • CAT-Walk: Inductive Hypergraph Learning via Set Walks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CAT-Walk: Inductive Hypergraph Learning via Set Walks

    Ali Behrouz, Farnoosh Hashemi, Sadaf Sadeghian, Margo Seltzer p32636-32671 from Advances in Neural Information Processing Systems 36
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  • CAT3D: Create Anything in 3D with Multi-View Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CAT3D: Create Anything in 3D with Multi-View Diffusion Models

    Ruiqi Gao, Aleksander Holynski, Philipp Henzler, Arthur Brussee, Ricardo Martin-Brualla, Pratul Srinivasan, Jonathan Barron, Ben Poole p75468-75494 from Advances in Neural Information Processing Systems 37
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  • CAT: Circular-Convolutional Attention for Sub-Quadratic Transformers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CAT: Circular-Convolutional Attention for Sub-Quadratic Transformers

    Yoshihiro Yamada p164611-164633 from Advances in Neural Information Processing Systems 38
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  • CAT: Content-Adaptive Image Tokenization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CAT: Content-Adaptive Image Tokenization

    Junhong Shen, Kushal Tirumala, Michihiro Yasunaga, Ishan Misra, Luke Zettlemoyer, LILI YU, Chunting Zhou p830-860 from Advances in Neural Information Processing Systems 38
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  • 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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  • CATransformers: Carbon Aware Transformers Through Joint Model-Hardware Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CATransformers: Carbon Aware Transformers Through Joint Model-Hardware Optimization

    Irene Wang, Mostafa Elhoushi, H Ekin Sumbul, Samuel Hsia, Daniel Jiang, Newsha Ardalani, Divya Mahajan, Carole-Jean Wu, Bilge Acun p28305-28337 from Advances in Neural Information Processing Systems 38
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  • Causal Climate Emulation with Bayesian Filtering

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Causal Climate Emulation with Bayesian Filtering

    Sebastian H. M. Hickman, Ilija Trajković, Julia Kaltenborn, Francis Pelletier, Alex Archibald, Yaniv Gurwicz, Peer Nowack, David Rolnick, Julien Boussard p99334-99377 from Advances in Neural Information Processing Systems 38
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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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  • Causal Dependence Plots

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Causal Dependence Plots

    Joshua Loftus, Lucius Bynum, Sakina Hansen p112656-112683 from Advances in Neural Information Processing Systems 37
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  • Causal Differentiating Concepts: Interpreting LM Behavior via Causal Representation Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Causal Differentiating Concepts: Interpreting LM Behavior via Causal Representation Learning

    Navita Goyal, Hal Daumé, Alexandre Drouin, Dhanya Sridhar p73816-73844 from Advances in Neural Information Processing Systems 38
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  • Causal Discovery and Inference through Next-Token Prediction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Causal Discovery and Inference through Next-Token Prediction

    Eivinas Butkus, Nikolaus Kriegeskorte p76063-76089 from Advances in Neural Information Processing Systems 38
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