Paper

  • Efficient Testable Learning of Halfspaces with Adversarial Label Noise

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Efficient Testable Learning of Halfspaces with Adversarial Label Noise

    Ilias Diakonikolas, Daniel Kane, Vasilis Kontonis, Sihan Liu, Nikos Zarifis p39470-39490 from Advances in Neural Information Processing Systems 36
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  • Efficient Training of Energy-Based Models Using Jarzynski Equality

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Efficient Training of Energy-Based Models Using Jarzynski Equality

    Davide Carbone, Mengjian Hua, Simon Coste, Eric Vanden-Eijnden p52583-52614 from Advances in Neural Information Processing Systems 36
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  • Efficient Training of Low-Curvature Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Efficient Training of Low-Curvature Neural Networks

    Suraj Srinivas, Kyle Matoba, Himabindu Lakkaraju, François Fleuret p25951-25964 from Advances in Neural Information Processing Systems 35
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  • Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks

    Ziyi Huang, Henry Lam, Haofeng Zhang p64428-64467 from Advances in Neural Information Processing Systems 36
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  • EfficientCAPER: An End-to-End Framework for Fast and Robust Category-Level Articulated Object Pose Estimation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    EfficientCAPER: An End-to-End Framework for Fast and Robust Category-Level Articulated Object Pose Estimation

    Xinyi Yu, Haonan Jiang, Li Zhang, Lin Wu, Linin Ou, Liu Liu p31968-31989 from Advances in Neural Information Processing Systems 37
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  • EfficientFormer: Vision Transformers at MobileNet Speed

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    EfficientFormer: Vision Transformers at MobileNet Speed

    Yanyu Li, Geng Yuan, Yang Wen, Ju Hu, Georgios Evangelidis, Sergey Tulyakov, Yanzhi Wang, Jian Ren p12934-12949 from Advances in Neural Information Processing Systems 35
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  • Efficiently Computing Local Lipschitz Constants of Neural Networks Via Bound Propagation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Efficiently Computing Local Lipschitz Constants of Neural Networks Via Bound Propagation

    Zhouxing Shi, Yihan Wang, Huan Zhang, J. Zico Kolter, Cho-Jui Hsieh p2350-2364 from Advances in Neural Information Processing Systems 35
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  • Efficiently Factorizing Boolean Matrices Using Proximal Gradient Descent

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Efficiently Factorizing Boolean Matrices Using Proximal Gradient Descent

    Sebastian Dalleiger, Jilles Vreeken p4736-4748 from Advances in Neural Information Processing Systems 35
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  • Efficiently incorporating quintuple interactions into geometric deep learning force fields

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Efficiently incorporating quintuple interactions into geometric deep learning force fields

    Zun Wang, Guoqing Liu, Yichi Zhou, Tong Wang, Bin Shao p77043-77055 from Advances in Neural Information Processing Systems 36
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  • Efficiently Learning Significant Fourier Feature Pairs for Statistical Independence Testing

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Efficiently Learning Significant Fourier Feature Pairs for Statistical Independence Testing

    Yixin Ren, Yewei Xia, Hao Zhang, Jihong Guan, Shuigeng Zhou p99800-99835 from Advances in Neural Information Processing Systems 37
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  • EffiLearner: Enhancing Efficiency of Generated Code via Self-Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    EffiLearner: Enhancing Efficiency of Generated Code via Self-Optimization

    Dong Huang, Jianbo Dai, Han Weng, Puzhen Wu, Yuhao Qing, Heming Cui, Zhijiang Guo, Jie Zhang p84482-84522 from Advances in Neural Information Processing Systems 37
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  • Ego4D Goal-Step: Toward Hierarchical Understanding of Procedural Activities

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Ego4D Goal-Step: Toward Hierarchical Understanding of Procedural Activities

    Yale Song, Eugene Byrne, Tushar Nagarajan, Huiyu Wang, Miguel Martin, Lorenzo Torresani p38863-38886 from Advances in Neural Information Processing Systems 36
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