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

    Saurabh Adya, Minsik Cho, Devang Naik p45833-45855 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • PDSketch: Integrated Domain Programming, Learning, and Planning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PDSketch: Integrated Domain Programming, Learning, and Planning

    Leslie Kaelbling, Tomás Lozano-Pérez, Jiayuan Mao, Josh Tenenbaum p36972-36984 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • 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

    Zhongkai Hao, Hang Su, Xuezhou Xu, Chengyang Ying, Xingxing Zhang, Xinning Zhou, Jun Zhu p54632-54669 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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, Jingyang Li, Wei Li, Fei Xia, Jian Xiao, Huimin Yu p21842-21874 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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

    Yi Chen, Ramya Korlakai Vinayak, Satya Sai Srinath Namburi, Frederic Sala, Sui Jiet Tay, Harit Vishwakarma p15983-16015 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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
    Our Price: $0.00
  • 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

    Jian Gao, Yu Meng, Xiaorui Peng, Zhongwei Qiu, Meijun Wang, Yan Xu, Chao Zheng p24868-24896 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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

    Jiawei Chen, Yue Jiang, Gang Li, Ke Li, Mingcheng Li, Shuaibing Wang, Shunli Wang, Jinjie Wei, Tong Wu, Dongling Xiao, Qingyao Xu, Dingkang Yang, Peng Zhai, Lihua Zhang p138632-138662 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Peer Prediction for Learning Agents

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Peer Prediction for Learning Agents

    Yiling Chen, Shi Feng, Fang-Yi Yu p17276-17286 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • 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

    Chang Ma, Runcheng Liu, Jiarui Lu, Jian Tang, Minghao Xu, Yangtian Zhang, Zuobai Zhang, Zhaocheng Zhu p35156-35173 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • 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)
    Our Price: $0.00
  • 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
    Our Price: $0.00