Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Overcoming Common Flaws in the Evaluation of Selective Classification Systems

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Overcoming Common Flaws in the Evaluation of Selective Classification Systems

    Jeremias Traub, Till Bungert, Carsten Lüth, Michael Baumgartner, Klaus Maier-Hein, Lena Maier-Hein, Paul Jäger p2323-2347 from Advances in Neural Information Processing Systems 37
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  • Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation

    Yilin Lyu, Liyuan Wang, Xingxing Zhang, Zicheng Sun, Hang Su, Jun Zhu, Liping Jing p25475-25494 from Advances in Neural Information Processing Systems 36
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  • Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL

    Andrew Wagenmaker, Kevin Huang, Liyiming Ke, Kevin Jamieson, Abhishek Gupta p78715-78765 from Advances in Neural Information Processing Systems 37
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  • Overfitting Behaviour of Gaussian Kernel Ridgeless Regression: Varying Bandwidth or Dimensionality

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Overfitting Behaviour of Gaussian Kernel Ridgeless Regression: Varying Bandwidth or Dimensionality

    Marko Medvedev, Gal Vardi, Nathan Srebro p52624-52669 from Advances in Neural Information Processing Systems 37
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  • Overparameterization from Computational Constraints

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Overparameterization from Computational Constraints

    Sanjam Garg, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody, Mingyuan Wang p13557-13569 from Advances in Neural Information Processing Systems 35
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  • OVT-B: A New Large-Scale Benchmark for Open-Vocabulary Multi-Object Tracking

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    OVT-B: A New Large-Scale Benchmark for Open-Vocabulary Multi-Object Tracking

    Haiji Liang, Ruize Han p14849-14863 from Advances in Neural Information Processing Systems 37
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  • OW-VISCapTor: Abstractors for Open-World Video Instance Segmentation and Captioning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    OW-VISCapTor: Abstractors for Open-World Video Instance Segmentation and Captioning

    Anwesa Choudhuri, Girish Chowdhary, Alexander Schwing p42071-42096 from Advances in Neural Information Processing Systems 37
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  • OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised Learning

    Shengjie Niu, Lifan Lin, Jian Huang, Chao Wang p99836-99866 from Advances in Neural Information Processing Systems 37
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  • OxonFair: A Flexible Toolkit for Algorithmic Fairness

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    OxonFair: A Flexible Toolkit for Algorithmic Fairness

    Eoin Delaney, Zihao Fu, Sandra Wachter, Brent Mittelstadt, Chris Russell p94209-94245 from Advances in Neural Information Processing Systems 37
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  • P$^2$C$^2$Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    P$^2$C$^2$Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics

    Qi Wang, Pu Ren, Hao Zhou, Xin-Yang Liu, Zhiwen Deng, Yi Zhang, Ruizhi Chengze, Hongsheng Liu, Zidong Wang, Jian-Xun Wang, Ji-Rong Wen, Hao Sun, Yang Liu p68897-68925 from Advances in Neural Information Processing Systems 37
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  • P-Flow: A Fast and Data-Efficient Zero-Shot TTS through Speech Prompting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    P-Flow: A Fast and Data-Efficient Zero-Shot TTS through Speech Prompting

    Sungwon Kim, Kevin Shih, Rohan Badlani, Joao Felipe Santos, Evelina Bakhturina, Mikyas Desta, Rafael Valle, Sungroh Yoon, Bryan Catanzaro p74213-74228 from Advances in Neural Information Processing Systems 36
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  • P2P: Tuning Pre-Trained Image Models for Point Cloud Analysis with Point-To-Pixel Prompting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    P2P: Tuning Pre-Trained Image Models for Point Cloud Analysis with Point-To-Pixel Prompting

    Ziyi Wang, Xumin Yu, Yongming Rao, Jie Zhou, Jiwen Lu p14388-14402 from Advances in Neural Information Processing Systems 35
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  • PAC Learning Linear Thresholds from Label Proportions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PAC Learning Linear Thresholds from Label Proportions

    Anand Brahmbhatt, Rishi Saket, Aravindan Raghuveer p66610-66646 from Advances in Neural Information Processing Systems 36
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  • PAC Prediction Sets for Meta-Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PAC Prediction Sets for Meta-Learning

    Sangdon Park, Edgar Dobriban, Insup Lee, Osbert Bastani p37920-37931 from Advances in Neural Information Processing Systems 35
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  • PAC-Bayes Compression Bounds So Tight that They Can Explain Generalization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PAC-Bayes Compression Bounds So Tight that They Can Explain Generalization

    Sanae Lotfi, Marc Finzi, Sanyam Kapoor, Andres Potapczynski, Micah Goldblum, Andrew Wilson p31459-31473 from Advances in Neural Information Processing Systems 35
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  • PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction

    Apoorva Sharma, Sushant Veer, Asher Hancock, Heng Yang, Marco Pavone, Anirudha Majumdar p46807-46829 from Advances in Neural Information Processing Systems 36
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  • PAC-Bayes-Chernoff bounds for unbounded losses

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PAC-Bayes-Chernoff bounds for unbounded losses

    Ioar Casado, Luis Ortega, Aritz Pérez, Andrés Masegosa p24350-24374 from Advances in Neural Information Processing Systems 37
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  • PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization

    Jiancong Xiao, Ruoyu Sun, Zhi-Quan Luo p36305-36323 from Advances in Neural Information Processing Systems 36
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  • PAC: Assisted Value Factorization with Counterfactual Predictions in Multi-Agent Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PAC: Assisted Value Factorization with Counterfactual Predictions in Multi-Agent Reinforcement Learning

    Hanhan Zhou, Tian Lan, Vaneet Aggarwal p15757-15769 from Advances in Neural Information Processing Systems 35
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  • PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization

    Yao Ni, Shan Zhang, Piotr Koniusz p61238-61266 from Advances in Neural Information Processing Systems 37
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  • PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices

    Hanqing Zhu, Wenyan Cong, Guojin Chen, Shupeng Ning, Ray Chen, Jiaqi Gu, David Pan p67535-67555 from Advances in Neural Information Processing Systems 37
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  • PaCE: Parsimonious Concept Engineering for Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PaCE: Parsimonious Concept Engineering for Large Language Models

    Jinqi Luo, Tianjiao Ding, Kwan Chan, Darshan Thaker, Aditya Chattopadhyay, Chris Callison-Burch, René Vidal p99347-99381 from Advances in Neural Information Processing Systems 37
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  • PackQViT: Faster Sub-8-bit Vision Transformers via Full and Packed Quantization on the Mobile

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PackQViT: Faster Sub-8-bit Vision Transformers via Full and Packed Quantization on the Mobile

    Peiyan Dong, Lei Lu, Chao Wu, Cheng Lyu, Geng Yuan, Hao Tang, Yanzhi Wang p9015-9028 from Advances in Neural Information Processing Systems 36
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  • PaCo: Parameter-Compositional Multi-Task Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PaCo: Parameter-Compositional Multi-Task Reinforcement Learning

    Lingfeng Sun, Haichao Zhang, Wei Xu, Masayoshi Tomizuka p21495-21507 from Advances in Neural Information Processing Systems 35
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