Paper

  • Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm

    Tommaso Salvatori, Eli Sennesh, Hao Wu p48599-48627 from Advances in Neural Information Processing Systems 37
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  • DiViNeT: 3D Reconstruction from Disparate Views using Neural Template Regularization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DiViNeT: 3D Reconstruction from Disparate Views using Neural Template Regularization

    Akshay Gadi Patil, Aditya Vora, Hao Zhang p66768-66781 from Advances in Neural Information Processing Systems 36
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  • Django: Detecting Trojans in Object Detection Models via Gaussian Focus Calibration

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Django: Detecting Trojans in Object Detection Models via Gaussian Focus Calibration

    Shengwei An, Siyuan Cheng, Yingqi Liu, Shiqing Ma, Guangyu Shen, Guanhong Tao, Kaiyuan Zhang, Xiangyu Zhang p51253-51272 from Advances in Neural Information Processing Systems 36
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  • DMAP: A Distributed Morphological Attention Policy for Learning to Locomote with a Changing Body

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DMAP: A Distributed Morphological Attention Policy for Learning to Locomote with a Changing Body

    Alberto Silvio Chiappa, Alessandro Marin Vargas, Alexander Mathis p37214-37227 from Advances in Neural Information Processing Systems 35
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  • DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors

    Antoine Dedieu, J. Guntupalli, Ahmad Humayun, Miguel Lázaro-Gredilla, Wolfgang Lehrach, Kevin Murphy, Joseph Ortiz, Sivaramakrishnan Swaminathan, Carter Wendelken, Guangyao Zhou p6574-6602 from Advances in Neural Information Processing Systems 37
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  • DMesh: A Differentiable Mesh Representation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DMesh: A Differentiable Mesh Representation

    Matheus Gadelha, Ming Lin, Sanghyun Son, Zexiang Xu, Yang Zhou, Yi Zhou p12035-12077 from Advances in Neural Information Processing Systems 37
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  • DMNet: Self-comparison Driven Model for Subject-independent Seizure Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DMNet: Self-comparison Driven Model for Subject-independent Seizure Detection

    Linfeng Cao, Junru Chen, Lvbin Ma, Shihao Tu, Yang Yang, Daoze Zhang, Yin Zhang p28254-28280 from Advances in Neural Information Processing Systems 37
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  • DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models

    Tiancong Chen, Taihui Li, Ju Sun, Yuxiang Wan, Hengkang Wang, Xu Zhang p117881-117916 from Advances in Neural Information Processing Systems 37
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  • DN-4DGS: Denoised Deformable Network with Temporal-Spatial Aggregation for Dynamic Scene Rendering

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DN-4DGS: Denoised Deformable Network with Temporal-Spatial Aggregation for Dynamic Scene Rendering

    Jiacheng Deng, Yanzhe Liang, Jiahao Lu, Wenfei Yang, Tianzhu Zhang, Xu Zhou, Ruijie Zhu p84114-84138 from Advances in Neural Information Processing Systems 37
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  • DNA: Proximal Policy Optimization with a Dual Network Architecture

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DNA: Proximal Policy Optimization with a Dual Network Architecture

    Matthew Aitchison, Penny Sweetser p35921-35932 from Advances in Neural Information Processing Systems 35
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  • Do causal predictors generalize better to new domains?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Do causal predictors generalize better to new domains?

    Moritz Hardt, Vivian Nastl p31202-31315 from Advances in Neural Information Processing Systems 37
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  • Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? -- A Theoretical and Empirical Study

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? -- A Theoretical and Empirical Study

    Sanghyuk Chun, Sangwon Jung, Taesup Moon, Sumin Yu p56041-56053 from Advances in Neural Information Processing Systems 37
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