Bin Liang
Artificial Intelligence · with Wang · 2021
A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 34 citations into it
- Reinforcement Learning — 23 citations into it
Whom Bin Liang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Bin Liang's perspective
Ordered by how strongly the researchers Bin Liang trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Reinforcement Learning: An Introduction
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Playing Atari with Deep Reinforcement Learning (arXiv.org)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Progressive Neural Networks