Lei Wang
with Huang · 2016–2017
A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Whom Lei Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Iroon Polytechniou
- Radford M. Neal
- Richard S. Sutton
- Honglak Lee
- Tim Hesterberg
- Jun S. Liu
- Mark J van Rossum
- Nils J. Nilsson
- Andrew Barto
- Tijmen Tieleman
Who trusts Lei Wang overall
Papers from Lei Wang's perspective
Ordered by how strongly the researchers Lei Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Bayesian learning for neural networks
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Can Boltzmann Machines Discover Cluster Updates ? (2017) — 34 citations
- Accelerated Monte Carlo simulations with restricted Boltzmann machines (2016) — 206 citations