Yang Gao
Artificial Intelligence · with Darrell · 2015–2018
A researcher in the Science corpus: 3 papers; trusts 367 researchers and is trusted by 560 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 61 citations into it; #4,895 of 35,345 by trust here, #4,137 by citations
- Computer Vision and Pattern Recognition — 59 citations into it; #1,825 of 21,575 by trust here, #3,633 by citations
- Reinforcement Learning — 45 citations into it
- Representation & Self-Supervised Learning — 8 citations into it
- Control and Systems Engineering — 7 citations into it
- Model Architectures — 6 citations into it
Whom Yang Gao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- David G. Lowe
- Andrea Vedaldi
- Ilya Sutskever
- Diederik P. Kingma
- Andrew Zisserman
- Yoshua Bengio
- Yann LeCun
- Kaiming He
Who trusts Yang Gao overall
- Tsung-Yu Lin
- Vivek Sharma
- Trevor Darrell
- Peng Gao
- Rohit Girdhar
- Nazneen Rajani
- Yin Cui
- Shu Kong
- Lisa Anne Hendricks
- Fisher Yu
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.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Compact Bilinear Pooling (2015) — 859 citations
- End-to-End Learning of Driving Models from Large-Scale Video Datasets (2016) — 877 citations
- Reinforcement Learning from Imperfect Demonstrations (2018) — 211 citations