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teddykoker.com | ||
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blog.research.google
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| | | | | [AI summary] This blog post introduces Stochastic Re-weighted Gradient Descent (RGD), a novel optimization algorithm that improves deep neural network performance by re-weighting data points during training based on their difficulty, enhancing generalization and robustness against data distribution shifts. | |
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bdtechtalks.com
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| | | | | Gradient descent is the main technique for training machine learning and deep learning models. Read all about it. | |
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justindomke.wordpress.com
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| | | | | In 2012, I wrote a paper that I probably should have called "truncated bi-level optimization". I vaguely remembered telling the reviewers I would release some code, so I'm finally getting around to it. The idea of bilevel optimization is quite simple. Imagine that you would like to minimize some function $latex L(w)$. However, $latex L$... | |
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trishagee.com
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| | | Find out where to catch Trisha Gee in the autumn of 2024 | ||
