Yanlai Yang
Artificial Intelligence · 2019–2021
A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 31 citations into it
- Control and Systems Engineering — 16 citations into it
- Computer Vision and Pattern Recognition — 15 citations into it
- Reinforcement Learning — 12 citations into it
- Robotics & Control — 11 citations into it
Whom Yanlai Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sergey Levine
- Chelsea Finn
- Kaiming He
- Alex Krizhevsky
- Geoffrey E. Hinton
- Pieter Abbeel
- Diederik P. Kingma
- Yoshua Bengio
- Ilya Sutskever
- Yann LeCun
Papers from Yanlai Yang's perspective
Ordered by how strongly the researchers Yanlai Yang 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)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)