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

    Junlin He, Jinxiao Du, 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

    Junlin He, Jinxiao Du, Susu Xu, Wei Ma 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, Qinghua Tao, Francesco Tonin, Johan Suykens 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, Haiyi Mei, Guangcong Wang, Lei Yang, Ziwei Liu 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

    Zhiqing Sun, Yikang Shen, Qinhong Zhou, Hongxin Zhang, Zhenfang Chen, David Cox, Yiming Yang, Chuang Gan 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

    Wenjie Xu, Masaki Adachi, Colin Jones, Michael Osborne 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

    Zihui Wu, Yu Sun, Yifan Chen, Bingliang Zhang, Yisong Yue, Katherine Bouman 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.

    Mingjia Shi, Yuhao Zhou, Kai Wang, Huaizheng Zhang, Shudong Huang, Qing Ye, Jiancheng Lv 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

    Neeratyoy Mallik, Edward Bergman, Carl Hvarfner, Danny Stoll, Maciej Janowski, Marius Lindauer, Luigi Nardi, Frank Hutter 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

    Shivakanth Sujit, Somjit Nath, Pedro Braga, Samira Ebrahimi Kahou 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

    Yuxuan Qiao, Haodong Duan, Xinyu Fang, Junming Yang, Lin Chen, Songyang Zhang, Jiaqi Wang, Dahua Lin, Kai Chen 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, Dan Song, Ayfer Ozgur, Peter Kairouz 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?

    Xiaoxiao Sun, Nidham Gazagnadou, Vivek Sharma, Lingjuan Lyu, Hongdong Li, 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

    Thomas Steinke, Milad Nasr, Matthew Jagielski 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

    Yuxin Wen, Leo Marchyok, Sanghyun Hong, Jonas Geiping, Tom Goldstein, Nicholas Carlini 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, Yuancheng Yu, Hao Wang, Kai Xu 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

    Yijia Shao, Tianshi Li, Weiyan Shi, Yanchen Liu, 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

    Daogao Liu, Arun Ganesh, Sewoong Oh, Abhradeep Guha Thakurta 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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