Paper

  • Shape and Structure Preserving Differential Privacy

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Shape and Structure Preserving Differential Privacy

    Karthik Bharath, Matthew Reimherr, Aleksandra Slavkovic, Carlos Soto p24693-24705 from Advances in Neural Information Processing Systems 35
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  • Shape Non-rigid Kinematics (SNK): A Zero-Shot Method for Non-Rigid Shape Matching via Unsupervised Functional Map Regularized Reconstruction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Shape Non-rigid Kinematics (SNK): A Zero-Shot Method for Non-Rigid Shape Matching via Unsupervised Functional Map Regularized Reconstruction

    Souhaib Attaiki, Maks Ovsjanikov p70012-70032 from Advances in Neural Information Processing Systems 36
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  • Shape, Light, and Material Decomposition from Images Using Monte Carlo Rendering and Denoising

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Shape, Light, and Material Decomposition from Images Using Monte Carlo Rendering and Denoising

    Jon Hasselgren, Nikolai Hofmann, Jacob Munkberg p22856-22869 from Advances in Neural Information Processing Systems 35
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  • ShapeCrafter: A Recursive Text-Conditioned 3D Shape Generation Model

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ShapeCrafter: A Recursive Text-Conditioned 3D Shape Generation Model

    Yiwen Chen, Rao Fu, Daniel Ritchie, Srinath Sridhar, Xiao Zhan p8882-8895 from Advances in Neural Information Processing Systems 35
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  • Shaping the distribution of neural responses with interneurons in a recurrent circuit model

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Shaping the distribution of neural responses with interneurons in a recurrent circuit model

    David Lipshutz, Eero Simoncelli p34217-34238 from Advances in Neural Information Processing Systems 37
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  • shapiq: Shapley Interactions for Machine Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    shapiq: Shapley Interactions for Machine Learning

    Hubert Baniecki, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier, Patrick Kolpaczki, Maximilian Muschalik p130324-130357 from Advances in Neural Information Processing Systems 37
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  • SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning

    Yunjie Gu, Tae-Kyun Kim, Jianhong Wang, Yuan Zhang p5941-5954 from Advances in Neural Information Processing Systems 35
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  • Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples

    Shaokui Wei, Baoyuan Wu, Hongyuan Zha, Mingda Zhang p25876-25909 from Advances in Neural Information Processing Systems 36
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  • Shared Autonomy with IDA: Interventional Diffusion Assistance

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Shared Autonomy with IDA: Interventional Diffusion Assistance

    Jonathan Kao, Brandon McMahan, Zhenghao Peng, Bolei Zhou p128330-128354 from Advances in Neural Information Processing Systems 37
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  • ShareGPT4Video: Improving Video Understanding and Generation with Better Captions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ShareGPT4Video: Improving Video Understanding and Generation with Better Captions

    Lin Chen, Zehui Chen, Xiaoyi Dong, Haodong Duan, Jinsong Li, Bin Lin, Dahua Lin, Yu Qiao, Zhenyu Tang, Jiaqi Wang, Xilin Wei, Li Yuan, Yuhang Zang, Pan Zhang, Feng Zhao p19472-19495 from Advances in Neural Information Processing Systems 37
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  • Sharing Key Semantics in Transformer Makes Efficient Image Restoration

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Sharing Key Semantics in Transformer Makes Efficient Image Restoration

    Rita Cucchiara, Yawei Li, Jingyun Liang, Mengyuan Liu, Rakesh Ranjan, Bin Ren, Nicu Sebe, Luc Van Gool, Ming-Hsuan Yang p7427-7463 from Advances in Neural Information Processing Systems 37
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  • Sharing Knowledge for Meta-Learning with Feature Descriptions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Sharing Knowledge for Meta-Learning with Feature Descriptions

    Tomoharu Iwata, Atsutoshi Kumagai p16637-16649 from Advances in Neural Information Processing Systems 35
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