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

    Michael Baumgartner, Till Bungert, Paul Jäger, Carsten Lüth, Klaus Maier-Hein, Lena Maier-Hein, Jeremias Traub p2323-2347 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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

    Liping Jing, Yilin Lyu, Hang Su, Zicheng Sun, Liyuan Wang, Xingxing Zhang, Jun Zhu p25475-25494 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • 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

    Abhishek Gupta, Kevin Huang, Kevin Jamieson, Liyiming Ke, Andrew Wagenmaker p78715-78765 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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, Nathan Srebro, Gal Vardi p52624-52669 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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
    Our Price: $0.00
  • 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

    Ruize Han, Haiji Liang p14849-14863 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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
    Our Price: $0.00
  • 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

    Jian Huang, Lifan Lin, Shengjie Niu, Chao Wang p99836-99866 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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, Brent Mittelstadt, Chris Russell, Sandra Wachter p94209-94245 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • P$^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

    Ruizhi Chengze, Zhiwen Deng, Hongsheng Liu, Xin-Yang Liu, Yang Liu, Pu Ren, Hao Sun, Jian-Xun Wang, Qi Wang, Zidong Wang, Ji-Rong Wen, Yi Zhang, Hao Zhou p68897-68925 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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

    Rohan Badlani, Evelina Bakhturina, Bryan Catanzaro, Mikyas Desta, Sungwon Kim, Joao Felipe Santos, Kevin Shih, Rafael Valle, Sungroh Yoon p74213-74228 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • 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

    Jiwen Lu, Yongming Rao, Ziyi Wang, Xumin Yu, Jie Zhou p14388-14402 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • PAC Learning Linear Thresholds from Label Proportions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PAC Learning Linear Thresholds from Label Proportions

    Anand Brahmbhatt, Aravindan Raghuveer, Rishi Saket p66610-66646 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • PAC Prediction Sets for Meta-Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PAC Prediction Sets for Meta-Learning

    Osbert Bastani, Edgar Dobriban, Insup Lee, Sangdon Park p37920-37931 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • 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

    Marc Finzi, Micah Goldblum, Sanyam Kapoor, Sanae Lotfi, Andres Potapczynski, Andrew Wilson p31459-31473 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • 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

    Asher Hancock, Anirudha Majumdar, Marco Pavone, Apoorva Sharma, Sushant Veer, Heng Yang p46807-46829 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • PAC-Bayes-Chernoff bounds for unbounded losses

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PAC-Bayes-Chernoff bounds for unbounded losses

    Ioar Casado, Andrés Masegosa, Luis Ortega, Aritz Pérez p24350-24374 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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

    Zhi-Quan Luo, Ruoyu Sun, Jiancong Xiao p36305-36323 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • 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

    Vaneet Aggarwal, Tian Lan, Hanhan Zhou p15757-15769 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • 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

    Piotr Koniusz, Yao Ni, Shan Zhang p61238-61266 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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

    Guojin Chen, Ray Chen, Wenyan Cong, Jiaqi Gu, Shupeng Ning, David Pan, Hanqing Zhu p67535-67555 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • PaCE: Parsimonious Concept Engineering for Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PaCE: Parsimonious Concept Engineering for Large Language Models

    Chris Callison-Burch, Kwan Chan, Aditya Chattopadhyay, Tianjiao Ding, Jinqi Luo, Darshan Thaker, René Vidal p99347-99381 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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, Cheng Lyu, Hao Tang, Yanzhi Wang, Chao Wu, Geng Yuan p9015-9028 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • PaCo: Parameter-Compositional Multi-Task Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PaCo: Parameter-Compositional Multi-Task Reinforcement Learning

    Lingfeng Sun, Masayoshi Tomizuka, Wei Xu, Haichao Zhang p21495-21507 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00