Shan-Wei Lin

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Optimization & Training — 7 citations into it

Whom Shan-Wei Lin trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Shai Shalev-Shwartz
2. Peter Richtárik
3. Ali Rahimi
4. Ilya Trofimov
5. Guillaume Obozinski
6. Martin Takác
7. Robert Tibshirani
8. Chenxin Ma
9. B. Recht
10. Thorsten Joachims

Papers from Shan-Wei Lin's perspective

Ordered by how strongly the researchers Shan-Wei Lin trusts endorse each paper. Same corpus, a different order for every researcher.

1. Regression Shrinkage and Selection via the Lasso
2. ImageNet: A large-scale hierarchical image database
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. ImageNet classification with deep convolutional neural networks
7. Pegasos: primal estimated sub-gradient solver for SVM
8. Learning Multiple Layers of Features from Tiny Images
9. Long Short-Term Memory
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• A Dual Augmented Block Minimization Framework for Learning with Limited Memory (2015) — 6 citations