Deep Learning
New computational algorithms make it possible to build neural networks with many input nodes and many layers, and distinguish "deep learning" of these networks from previous work on artificial neural nets.
Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms
Neural Information Processing Systems
Based on our analysis, we propose a spectral normalization method to mitigate the exploding variance issue caused by long model unrolls.
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Appendix 542 A Ethics Statement
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Questions containing "What is the age gap between" appear 310 times.
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Subclass-Dominant Label Noise: A Counterexample for the Success of Early Stopping Yingbin Bai 1 Zhongyi Han 2 Erkun Y ang 3 Jun Y u 4
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Most existing approaches for dealing with noisy labels broadly fall into two categories: noise-modeling-based methods and memorization-effects-based methods.
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ProteinInvBench: Benchmarking Protein Inverse Folding on Diverse Tasks, Models, and Metrics
Neural Information Processing Systems
Protein inverse folding has attracted increasing attention in recent years.
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