[N] Facebook AI Proposes Novel Scaling Analysis Framework and Strategy Computer Science

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• [N] Facebook AI Proposes Novel Scaling Analysis Framework and Strategy
• Improving large monorepo performance on GitHub
• Generalizing Automatic Differentiation to Automatic Sparsity, Uncertainty, Stability, and Parallelism

[N] Facebook AI Proposes Novel Scaling Analysis Framework and Strategy Posted: 16 Mar 2021 08:33 PM PDT A Facebook AI research team explores strategies for convolutional neural network scaling, aiming to provide a framework for analyzing scaling strategies under various computational constraints. Here is a quick read: Model Scaling That's Both Accurate and Fast: Facebook AI Proposes Novel Scaling Analysis Framework and Strategy The paper Fast and Accurate Model Scaling is on arXiv. submitted by /u/Yuqing7 [link] [comments]

Improving large monorepo performance on GitHub Posted: 17 Mar 2021 01:44 AM PDT submitted by /u/qwintran [link] [comments]

Generalizing Automatic Differentiation to Automatic Sparsity, Uncertainty, Stability, and Parallelism Posted: 17 Mar 2021 01:52 AM PDT submitted by /u/qwintran [link] [comments]

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