Paper

  • 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
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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, Andrés Masegosa, Luis Ortega, Aritz Pérez 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

    Zhi-Quan Luo, Ruoyu Sun, Jiancong Xiao 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

    Vaneet Aggarwal, Tian Lan, Hanhan Zhou 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

    Piotr Koniusz, Yao Ni, Shan Zhang 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

    Guojin Chen, Ray Chen, Wenyan Cong, Jiaqi Gu, Shupeng Ning, David Pan, Hanqing Zhu 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

    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
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  • PACKED-BED THERMAL-STORAGE SYSTEM CONFIGURATIONS FOR SHUTTLE KILN WASTE-HEAT RECOVERY

    ECOS 2024

    PACKED-BED THERMAL-STORAGE SYSTEM CONFIGURATIONS FOR SHUTTLE KILN WASTE-HEAT RECOVERY

    Nikolaos Georgousis, Jan Diriken, Michel Speetjens, Camilo Rindt p1469-1480 from 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024)
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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, Cheng Lyu, Hao Tang, Yanzhi Wang, Chao Wu, Geng Yuan 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, Masayoshi Tomizuka, Wei Xu, Haichao Zhang p21495-21507 from Advances in Neural Information Processing Systems 35
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  • PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection

    Lihan Jiang, Weize Li, Guoliang Wang, Shanghang Zhang, Hao Zhao, Guyue Zhou, Qiang Zhou p44558-44571 from Advances in Neural Information Processing Systems 36
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  • PaDeLLM-NER: Parallel Decoding in Large Language Models for Named Entity Recognition

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PaDeLLM-NER: Parallel Decoding in Large Language Models for Named Entity Recognition

    Can Huang, Xuejing Liu, Jinghui Lu, Brian Mac Namee, Yanjie Wang, Ziwei Yang p117853-117880 from Advances in Neural Information Processing Systems 37
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