Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularization

    Jinxiao Du, Junlin He, Wei Ma p95579-95606 from Advances in Neural Information Processing Systems 37
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  • Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization

    Jinxiao Du, Junlin He, Wei Ma, Susu Xu p82375-82410 from Advances in Neural Information Processing Systems 37
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  • Pricing and Competition for Generative AI

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Pricing and Competition for Generative AI

    Rafid Mahmood p75727-75748 from Advances in Neural Information Processing Systems 37
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  • Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal Representation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal Representation

    Yingyi Chen, Johan Suykens, Qinghua Tao, Francesco Tonin p65088-65101 from Advances in Neural Information Processing Systems 36
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  • PrimDiffusion: Volumetric Primitives Diffusion for 3D Human Generation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PrimDiffusion: Volumetric Primitives Diffusion for 3D Human Generation

    Zhaoxi Chen, Fangzhou Hong, Ziwei Liu, Haiyi Mei, Guangcong Wang, Lei Yang p13664-13677 from Advances in Neural Information Processing Systems 36
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  • Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision

    Zhenfang Chen, David Cox, Chuang Gan, Yikang Shen, Zhiqing Sun, Yiming Yang, Hongxin Zhang, Qinhong Zhou p2511-2565 from Advances in Neural Information Processing Systems 36
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  • Principled Bayesian Optimization in Collaboration with Human Experts

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Principled Bayesian Optimization in Collaboration with Human Experts

    Masaki Adachi, Colin Jones, Michael Osborne, Wenjie Xu p104091-104137 from Advances in Neural Information Processing Systems 37
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  • Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors

    Katherine Bouman, Yifan Chen, Yu Sun, Zihui Wu, Yisong Yue, Bingliang Zhang p118389-118427 from Advances in Neural Information Processing Systems 37
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  • Principled Weight Initialisation for Input-Convex Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Principled Weight Initialisation for Input-Convex Neural Networks

    Pieter-Jan Hoedt, Günter Klambauer p46093-46104 from Advances in Neural Information Processing Systems 36
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  • Prior-itizing Privacy: A Bayesian Approach to Setting the Privacy Budget in Differential Privacy

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Prior-itizing Privacy: A Bayesian Approach to Setting the Privacy Budget in Differential Privacy

    Zeki Kazan, Jerome Reiter p90384-90430 from Advances in Neural Information Processing Systems 37
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  • PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning.

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning.

    Shudong Huang, Jiancheng Lv, Mingjia Shi, Kai Wang, Qing Ye, Huaizheng Zhang, Yuhao Zhou p28378-28392 from Advances in Neural Information Processing Systems 36
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  • PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning

    Edward Bergman, Frank Hutter, Carl Hvarfner, Maciej Janowski, Marius Lindauer, Neeratyoy Mallik, Luigi Nardi, Danny Stoll p7377-7391 from Advances in Neural Information Processing Systems 36
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  • Prioritizing Samples in Reinforcement Learning with Reducible Loss

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Prioritizing Samples in Reinforcement Learning with Reducible Loss

    Pedro Braga, Samira Ebrahimi Kahou, Somjit Nath, Shivakanth Sujit p23237-23258 from Advances in Neural Information Processing Systems 36
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  • Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs

    Kai Chen, Lin Chen, Haodong Duan, Xinyu Fang, Dahua Lin, Yuxuan Qiao, Jiaqi Wang, Junming Yang, Songyang Zhang p111863-111898 from Advances in Neural Information Processing Systems 37
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  • Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-off in Distributed Mean Estimation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-off in Distributed Mean Estimation

    Wei-Ning Chen, Peter Kairouz, Ayfer Ozgur, Dan Song p69202-69227 from Advances in Neural Information Processing Systems 36
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  • Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception?

    Nidham Gazagnadou, Hongdong Li, Lingjuan Lyu, Vivek Sharma, Xiaoxiao Sun, Liang Zheng p10223-10237 from Advances in Neural Information Processing Systems 36
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  • Privacy Auditing with One (1) Training Run

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Privacy Auditing with One (1) Training Run

    Matthew Jagielski, Milad Nasr, Thomas Steinke p49268-49280 from Advances in Neural Information Processing Systems 36
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  • Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models

    Nicholas Carlini, Jonas Geiping, Tom Goldstein, Sanghyun Hong, Leo Marchyok, Yuxin Wen p83374-83396 from Advances in Neural Information Processing Systems 37
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  • Privacy Induces Robustness: Information-Computation Gaps and Sparse Mean Estimation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Privacy Induces Robustness: Information-Computation Gaps and Sparse Mean Estimation

    Kristian Georgiev, Samuel Hopkins p6829-6842 from Advances in Neural Information Processing Systems 35
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  • Privacy of Noisy Stochastic Gradient Descent: More Iterations Without More Privacy Loss

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Privacy of Noisy Stochastic Gradient Descent: More Iterations Without More Privacy Loss

    Jason Altschuler, Kunal Talwar p3788-3800 from Advances in Neural Information Processing Systems 35
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  • Privacy without Noisy Gradients: Slicing Mechanism for Generative Model Training

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Privacy without Noisy Gradients: Slicing Mechanism for Generative Model Training

    Kristjan Greenewald, Hao Wang, Kai Xu, Yuancheng Yu p125702-125728 from Advances in Neural Information Processing Systems 37
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  • PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action

    Tianshi Li, Yanchen Liu, Yijia Shao, Weiyan Shi, Diyi Yang p89373-89407 from Advances in Neural Information Processing Systems 37
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  • Private (Stochastic) Non-Convex Optimization Revisited: Second-Order Stationary Points and Excess Risks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Private (Stochastic) Non-Convex Optimization Revisited: Second-Order Stationary Points and Excess Risks

    Arun Ganesh, Abhradeep Guha Thakurta, Daogao Liu, Sewoong Oh p65618-65641 from Advances in Neural Information Processing Systems 36
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  • Private Algorithms for Stochastic Saddle Points and Variational Inequalities: Beyond Euclidean Geometry

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Private Algorithms for Stochastic Saddle Points and Variational Inequalities: Beyond Euclidean Geometry

    Raef Bassily, Cristóbal Guzmán, Michael Menart p128603-128635 from Advances in Neural Information Processing Systems 37
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