Hui Zhou

Artificial Intelligence · with Deng · 2021

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Optimization & Training — 8 citations into it

Whom Hui Zhou trusts overall

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

1. James Martens
2. Boris Polyak
3. Diederik P. Kingma
4. Roberto Battiti
5. Ilya Sutskever

Papers from Hui Zhou's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Long Short-Term Memory
3. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. On the importance of initialization and momentum in deep learning
7. Gradient-based learning applied to document recognition
8. Learning Multiple Layers of Features from Tiny Images
9. Deep Learning
10. Deep learning via Hessian-free optimization

Their papers

• Revisiting Recursive Least Squares for Training Deep Neural Networks (2021) — 7 citations