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

    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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  • 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, 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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  • 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

    Qiang Zhou, Weize Li, Lihan Jiang, Guoliang Wang, Guyue Zhou, Shanghang Zhang, Hao Zhao 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

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