Yizhou Huang

Artificial Intelligence · with Bharadhwaj · 2020

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 — 22 citations into it
• Reinforcement Learning — 12 citations into it

Whom Yizhou Huang trusts overall

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

1. Danijar Hafner
2. Xavier Glorot
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Diederik P. Kingma
6. Timothy P. Lillicrap
7. J. Urgen Schmidhuber
8. Yuke Zhu
9. Alex Krizhevsky
10. Jimmy Ba

Papers from Yizhou Huang's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Continual Model-Based Reinforcement Learning with Hypernetworks (2020) — 64 citations