eugeneyan/ml-surveys
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
Curated collection organized by ML subdomain (recommendations, embeddings, meta-learning, vision-language, etc.) with direct links to peer-reviewed survey papers, enabling researchers to quickly identify foundational and recent work across specific problem areas. Complements a sister project (`applied-ml`) focused on production implementations, creating a two-tier resource for both theoretical grounding and practical engineering guidance.
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Mar 17, 2023
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