Shou-De Lin

Artificial Intelligence · 1 papers · 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 Shou-De 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

Papers from Shou-De Lin's perspective

Ordered by how strongly the researchers Shou-De 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. Pegasos: primal estimated sub-gradient solver for SVM
4. Random Features for Large-Scale Kernel Machines
5. Iteration complexity of randomized block-coordinate descent methods for minimizing a composite function
6. Stochastic methods for l1 regularized loss minimization
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Gradient-based learning applied to document recognition
10. ImageNet classification with deep convolutional neural networks

Their papers

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