Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Provably Safe Reinforcement Learning with Step-wise Violation Constraints

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Provably Safe Reinforcement Learning with Step-wise Violation Constraints

    Nuoya Xiong, Yihan Du, Longbo Huang p54341-54353 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • Provably Sample-Efficient RL with Side Information About Latent Dynamics

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Provably Sample-Efficient RL with Side Information About Latent Dynamics

    Yao Liu, Dipendra Misra, Miro Dudik, Robert Schapire p33482-33493 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning

    Dake Bu, Wei Huang, Andi Han, Atsushi Nitanda, Taiji Suzuki, Qingfu Zhang, Hau-San Wong p63342-63405 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Provably Tuning the ElasticNet Across Instances

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Provably Tuning the ElasticNet Across Instances

    Maria-Florina Balcan, Misha Khodak, Dravyansh Sharma, Ameet Talwalkar p27769-27782 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • Proving Olympiad Algebraic Inequalities without Human Demonstrations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Proving Olympiad Algebraic Inequalities without Human Demonstrations

    Chenrui Wei, Mengzhou Sun, Wei Wang p82811-82822 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Proving Theorems Recursively

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Proving Theorems Recursively

    Haiming Wang, Huajian Xin, Zhengying Liu, Wenda Li, Yinya Huang, Jianqiao Lu, Zhicheng Yang, Jing Tang, Jian Yin, Zhenguo Li, Xiaodan Liang p86720-86748 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • ProvNeRF: Modeling per Point Provenance in NeRFs as a Stochastic Field

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ProvNeRF: Modeling per Point Provenance in NeRFs as a Stochastic Field

    Kiyohiro Nakayama, Mikaela Uy, Yang You, Ke Li, Leonida Guibas p99145-99160 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Proximal Causal Inference With Text Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Proximal Causal Inference With Text Data

    Jacob Chen, Rohit Bhattacharya, Katherine Keith p135983-136017 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Proximal Learning with Opponent-Learning Awareness

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Proximal Learning with Opponent-Learning Awareness

    Stephen Zhao, Chris Lu, Roger Grosse, Jakob Foerster p26324-26336 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • Proximal Point Imitation Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Proximal Point Imitation Learning

    Luca Viano, Angeliki Kamoutsi, Gergely Neu, Igor Krawczuk, Volkan Cevher p24309-24326 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • Proximity-Informed Calibration for Deep Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Proximity-Informed Calibration for Deep Neural Networks

    Miao Xiong, Ailin Deng, Pang Wei Koh, Jiaying Wu, Shen Li, Jianqing Xu, Bryan Hooi p68511-68538 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • ProxyFusion: Face Feature Aggregation Through Sparse Experts

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ProxyFusion: Face Feature Aggregation Through Sparse Experts

    Bhavin Jawade, Alexander Stone, Deen Dayal Mohan, Xiao Wang, Srirangaraj Setlur, Venu Govindaraju p70130-70147 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Prune and Distill: Similar Reformatting of Image Information Along Rat Visual Cortex and Deep Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Prune and Distill: Similar Reformatting of Image Information Along Rat Visual Cortex and Deep Neural Networks

    Paolo Muratore, Sina Tafazoli, Eugenio Piasini, Alessandro Laio, Davide Zoccolan p30206-30218 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • Prune and Repaint: Content-Aware Image Retargeting for any Ratio

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Prune and Repaint: Content-Aware Image Retargeting for any Ratio

    Feihong Shen, Chao Li, Yifeng Geng, Yongjian Deng, Hao Chen p75177-75198 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Pruning Has a Disparate Impact on Model Accuracy

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Pruning Has a Disparate Impact on Model Accuracy

    Cuong Tran, Ferdinando Fioretto, Jung-Eun Kim, Rakshit Naidu p17652-17664 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • Pruning neural network models for gene regulatory dynamics using data and domain knowledge

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Pruning neural network models for gene regulatory dynamics using data and domain knowledge

    Intekhab Hossain, Jonas Fischer, Rebekka Burkholz, John Quackenbush p117543-117579 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Pruning Neural Networks Via Coresets and Convex Geometry: Towards No Assumptions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Pruning Neural Networks Via Coresets and Convex Geometry: Towards No Assumptions

    Murad Tukan, Loay Mualem, Alaa Maalouf p38003-38019 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • Pruning vs Quantization: Which is Better?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Pruning vs Quantization: Which is Better?

    Andrey Kuzmin, Markus Nagel, Mart Van Baalen, Arash Behboodi, Tijmen Blankevoort p62414-62427 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • Pruning’s Effect on Generalization Through the Lens of Training and Regularization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Pruning’s Effect on Generalization Through the Lens of Training and Regularization

    Tian Jin, Michael Carbin, Dan Roy, Jonathan Frankle, Gintare Karolina Dziugaite p37947-37961 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • Pseudo-Likelihood Inference

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Pseudo-Likelihood Inference

    Theo Gruner, Boris Belousov, Fabio Muratore, Daniel Palenicek, Jan Peters p20613-20639 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • Pseudo-Private Data Guided Model Inversion Attacks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Pseudo-Private Data Guided Model Inversion Attacks

    Xiong Peng, Bo Han, Feng Liu, Tongliang Liu, Mingyuan Zhou p33338-33375 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Pseudo-Riemannian Graph Convolutional Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Pseudo-Riemannian Graph Convolutional Networks

    Bo Xiong, Shichao Zhu, Nico Potyka, Shirui Pan, Chuan Zhou, Steffen Staab p3488-3501 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • Pseudo-Siamese Blind-spot Transformers for Self-Supervised Real-World Denoising

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Pseudo-Siamese Blind-spot Transformers for Self-Supervised Real-World Denoising

    Yuhui Quan, Tianxiang Zheng, Hui Ji p13794-13817 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation

    Weiqin Yang, Jiawei Chen, Xin Xin, Sheng Zhou, Binbin Hu, Yan Feng, Chun Chen, Can Wang p120974-121006 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00