Yang Gao

Artificial Intelligence · with Abbeel · 2021

A researcher in the Science corpus: 2 papers; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 42 citations into it
• Reinforcement Learning — 34 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Representation & Self-Supervised Learning — 7 citations into it
• Evaluation & Benchmarks — 5 citations into it
• Model Architectures — 5 citations into it

Whom Yang Gao trusts overall

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

1. Alex Graves
2. Geoffrey E. Hinton
3. Kaiming He
4. Richard S. Sutton
5. Yoshua Bengio
6. Diederik P. Kingma
7. Alex Krizhevsky
8. John Schulman
9. Yann LeCun
10. Volodymyr Mnih

Papers from Yang Gao's perspective

Ordered by how strongly the researchers Yang Gao 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Mastering Atari Games with Limited Data (2021) — 335 citations
• Attention-based Neural Beamforming Layers for Multi-channel Speech Recognition (2021)