Fengji Yi

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Reinforcement Learning — 28 citations into it

Whom Fengji Yi trusts overall

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

1. Sergey Levine
2. Richard S. Sutton
3. Diederik P. Kingma
4. Carl E. Rasmussen
5. Geoffrey E. Hinton
6. Alex Graves
7. Marc Peter Deisenroth
8. Pieter Abbeel
9. Yoshua Bengio
10. Alex Krizhevsky

Who trusts Fengji Yi overall

1. Tom Silver

Papers from Fengji Yi's perspective

Ordered by how strongly the researchers Fengji Yi 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
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. GENERATIVE ADVERSARIAL NETS

Their papers

• Model-based reinforcement learning: A survey (2018) — 850 citations