Paper

  • PDP: Parameter-free Differentiable Pruning is All You Need

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PDP: Parameter-free Differentiable Pruning is All You Need

    Minsik Cho, Saurabh Adya, Devang Naik p45833-45855 from Advances in Neural Information Processing Systems 36
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  • PDSketch: Integrated Domain Programming, Learning, and Planning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PDSketch: Integrated Domain Programming, Learning, and Planning

    Jiayuan Mao, Tomás Lozano-Pérez, Josh Tenenbaum, Leslie Kaelbling p36972-36984 from Advances in Neural Information Processing Systems 35
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  • PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning

    Chengyang Ying, Zhongkai Hao, Xinning Zhou, Xuezhou Xu, Hang Su, Xingxing Zhang, Jun Zhu p54632-54669 from Advances in Neural Information Processing Systems 37
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  • PEACE: A Dataset of Pharmaceutical Care for Cancer Pain Analgesia Evaluation and Medication Decision

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PEACE: A Dataset of Pharmaceutical Care for Cancer Pain Analgesia Evaluation and Medication Decision

    Yutao Dou, Huimin Yu, Wei Li, Jingyang Li, Fei Xia, Jian Xiao p21842-21874 from Advances in Neural Information Processing Systems 37
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  • Pearls from Pebbles: Improved Confidence Functions for Auto-labeling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Pearls from Pebbles: Improved Confidence Functions for Auto-labeling

    Harit Vishwakarma, Yi Chen, Sui Jiet Tay, Satya Sai Srinath Namburi, Frederic Sala, Ramya Korlakai Vinayak p15983-16015 from Advances in Neural Information Processing Systems 37
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  • Pedestrian Trajectory Prediction with Missing Data: Datasets, Imputation, and Benchmarking

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Pedestrian Trajectory Prediction with Missing Data: Datasets, Imputation, and Benchmarking

    Pranav Singh Chib, Pravendra Singh p124530-124546 from Advances in Neural Information Processing Systems 37
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  • Pedestrian-Centric 3D Pre-collision Pose and Shape Estimation from Dashcam Perspective

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Pedestrian-Centric 3D Pre-collision Pose and Shape Estimation from Dashcam Perspective

    Meijun Wang, Yu Meng, Zhongwei Qiu, Chao Zheng, Yan Xu, Xiaorui Peng, Jian Gao p24868-24896 from Advances in Neural Information Processing Systems 37
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  • PediatricsGPT: Large Language Models as Chinese Medical Assistants for Pediatric Applications

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PediatricsGPT: Large Language Models as Chinese Medical Assistants for Pediatric Applications

    Dingkang Yang, Jinjie Wei, Dongling Xiao, Shunli Wang, Tong Wu, Gang Li, Mingcheng Li, Shuaibing Wang, Jiawei Chen, Yue Jiang, Qingyao Xu, Ke Li, Peng Zhai, Lihua Zhang p138632-138662 from Advances in Neural Information Processing Systems 37
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  • Peer Prediction for Learning Agents

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Peer Prediction for Learning Agents

    Shi Feng, Fang-Yi Yu, Yiling Chen p17276-17286 from Advances in Neural Information Processing Systems 35
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  • PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding

    Minghao Xu, Zuobai Zhang, Jiarui Lu, Zhaocheng Zhu, Yangtian Zhang, Ma Chang, Runcheng Liu, Jian Tang p35156-35173 from Advances in Neural Information Processing Systems 35
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  • Peering into the Black Box of Peer Review: From the Perspective of Editors

    Research In Engineering Education Network

    Peering into the Black Box of Peer Review: From the Perspective of Editors

    Stephanie Cutler, Yu Xia, Kacey Beddoes p870-877 from 9th Research in Engineering Education Symposium and 32nd Australasian Association for Engineering Education Conference (REES AAEE 2021)
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  • Penalising the biases in norm regularisation enforces sparsity

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Penalising the biases in norm regularisation enforces sparsity

    Etienne Boursier, Nicolas Flammarion p57795-57824 from Advances in Neural Information Processing Systems 36
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