不带超链接的标题是计划要写的，慢慢更新中……
- 🐷 = 基础知识
- 👨👩👧👦 = 系列论文合集
- 🐶 = 论文读后感
目录
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1 Maths
1.1 Linear Algebra & Functional Analysis
- 🐷 My notes on Linear Algebra Done Right (2nd edition)
1.2 Probability & Statistics
1.3 Optimization & Numerical Computation
- 🐷 SGD – Stochastic Gradient Descent
- 🐷 ADMM – Alternating Direction Method of Multipliers
- 🐶 The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-Rank Matrices
2 Machine Learning
2.1 Fundamentals
- 🐷 My notes on Fundamentals of Machine Learning (2nd edition)
- 🐷 Regularization Theories
- 🐷 Kernel Function / Method / Trick
- 🐷 Spectral Clustering
- 🐶 LSTM
2.2 Deep Clustering
- 🐶 DEC – Unsupervised deep embedding for clustering analysis.
- 🐶 JULE – Joint Unsupervised Learning of Deep Representations and Image Clusters
2.3 Subspace clustering
- 👨👩👧👦 Sparse self representation subspace clustering
- including papers: SSC, SSSC, S2ConvSCN
- 👨👩👧👦 Low rank representation subspace clustering
- math fundamental: 🐷 low rank matrix factorization
3 NLP
- 🐶 NER Survey
- 🐷 HMM
- 🐶 Word2vec
- 🐷 CRF
- 🐷 Self-attention
4 CV
- 👨👩👧👦 CNN & ResNet