Fan Yu

Optimization & Training · with Wang · 2020

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 22 citations into it
• Artificial Intelligence — 19 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it

Whom Fan Yu trusts overall

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

1. James Martens

Papers from Fan Yu's perspective

Ordered by how strongly the researchers Fan Yu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Gradient-based learning applied to document recognition
3. Learning Multiple Layers of Features from Tiny Images
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Automatic differentiation in PyTorch
7. Optimizing Neural Networks with Kronecker-factored Approximate Curvature
8. ImageNet classification with deep convolutional neural networks
9. New Insights and Perspectives on the Natural Gradient Method
10. Long Short-Term Memory

Their papers

• Merlin: A GPU Accelerated Recommendation Framework (2020)
• A Trace-restricted Kronecker-Factored Approximation to Natural Gradient (2020) — 13 citations