Paper

  • On the Stability and Scalability of Node Perturbation Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Stability and Scalability of Node Perturbation Learning

    Naoki Hiratani, Yash Mehta, Timothy Lillicrap, Peter E Latham p31929-31941 from Advances in Neural Information Processing Systems 35
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  • On the Stability-Plasticity Dilemma in Continual Meta-Learning: Theory and Algorithm

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Stability-Plasticity Dilemma in Continual Meta-Learning: Theory and Algorithm

    Qi Chen, Changjian Shui, Ligong Han, Mario Marchand p27414-27468 from Advances in Neural Information Processing Systems 36
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  • On the Statistical Consistency of Risk-Sensitive Bayesian Decision-Making

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Statistical Consistency of Risk-Sensitive Bayesian Decision-Making

    Prateek Jaiswal, Harsha Honnappa, Vinayak Rao p53158-53200 from Advances in Neural Information Processing Systems 36
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  • On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL

    Jinglin Chen, Aditya Modi, Akshay Krishnamurthy, Nan Jiang, Alekh Agarwal p20960-20973 from Advances in Neural Information Processing Systems 35
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  • On the Strong Correlation Between Model Invariance and Generalization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Strong Correlation Between Model Invariance and Generalization

    Weijian Deng, Stephen Gould, Liang Zheng p28052-28067 from Advances in Neural Information Processing Systems 35
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  • On the Sublinear Regret of GP-UCB

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Sublinear Regret of GP-UCB

    Justin Whitehouse, Aaditya Ramdas, Steven Wu p35266-35276 from Advances in Neural Information Processing Systems 36
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  • On the Surprising Effectiveness of Attention Transfer for Vision Transformers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Surprising Effectiveness of Attention Transfer for Vision Transformers

    Alexander Li, Yuandong Tian, Beidi Chen, Deepak Pathak, Xinlei Chen p113963-113990 from Advances in Neural Information Processing Systems 37
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  • On the Symmetries of Deep Learning Models and Their Internal Representations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Symmetries of Deep Learning Models and Their Internal Representations

    Charles Godfrey, Davis Brown, Tegan Emerson, Henry Kvinge p11893-11905 from Advances in Neural Information Processing Systems 35
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  • On the Symmetries of the Synchronization Problem in Cryo-EM: Multi-Frequency Vector Diffusion Maps on the Projective Plane

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Symmetries of the Synchronization Problem in Cryo-EM: Multi-Frequency Vector Diffusion Maps on the Projective Plane

    Gabriele Cesa, Arash Behboodi, Taco Cohen, Max Welling p5446-5458 from Advances in Neural Information Processing Systems 35
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  • On the Target-kernel Alignment: a Unified Analysis with Kernel Complexity

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Target-kernel Alignment: a Unified Analysis with Kernel Complexity

    Chao Wang, Xin He, Yuwen Wang, Junhui Wang p40434-40485 from Advances in Neural Information Processing Systems 37
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  • On the Theoretical Properties of Noise Correlation in Stochastic Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Theoretical Properties of Noise Correlation in Stochastic Optimization

    Aurelien Lucchi, Frank Proske, Antonio Orvieto, Francis Bach, Hans Kersting p14261-14273 from Advances in Neural Information Processing Systems 35
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  • On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-training

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-training

    Jieyu Zhang, Bohan Wang, Zhengyu Hu, Pang Wei Koh, Alexander Ratner p64193-64212 from Advances in Neural Information Processing Systems 36
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