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On Implicit Regularization in Deep Learning
Simons Institute for the Theory of Computing
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On Implicit Regularization in Deep Learning
Simons Institute for the Theory of Computing
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Regularization in Deep Learning | How it solves Overfitting ?
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Stanford CS229M - Lecture 15: Implicit regularization effect of initialization
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Nadav Cohen: "Implicit Regularization in Deep Learning: Lessons Learned from Matrix & Tensor Fac..."
Institute for Pure & Applied Mathematics (IPAM)
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Babak Hassibi: "Implicit and Explicit Regularization in Deep Neural Networks"
Institute for Pure & Applied Mathematics (IPAM)
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Stanford CS229M - Lecture 16: Implicit regularization in classification problems
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Why Deep Learning Works: Implicit Self-Regularization in Deep Neural Networks
Simons Institute for the Theory of Computing
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Stanford CS231N | Spring 2025 | Lecture 3: Regularization and Optimization
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Stanford CS229M - Lecture 17: Implicit regularization effect of the noise
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Overfitting and Regularization For Deep Learning | Two Minute Papers #56
Two Minute Papers
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Why Deep Learning Works: Implicit Self-Regularization in DNNs, Michael W. Mahoney 20190225
San Francisco Bay ACM
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