Zeyu Zheng
Artificial Intelligence · 2017–2019
A researcher in the Science corpus: 3 papers; trusts 49 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 59 citations into it; #14,633 of 35,345 by trust here, #17,776 by citations
- Reinforcement Learning — 46 citations into it
- Computer Vision and Pattern Recognition — 29 citations into it
- Optimization & Training — 12 citations into it
- Computational Theory and Mathematics — 5 citations into it
Whom Zeyu Zheng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Satinder Singh
- J. Urgen Schmidhuber
- Richard S. Sutton
- Diederik P. Kingma
- John Schulman
- Geoffrey E. Hinton
- Ronald J. Williams
- Volodymyr Mnih
- Andrew Barto
- Yoshua Bengio
Who trusts Zeyu Zheng overall
- Zhongwen Xu
- Junhyuk Oh
- Matteo Hessel
- Hado van Hasselt
- Khimya Khetarpal
- Vivek Veeriah
- Xingyu Lin
- Jian Peng
- David Silver
- Zhiting Hu
Papers from Zeyu Zheng's perspective
Ordered by how strongly the researchers Zeyu Zheng 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)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- On Learning Intrinsic Rewards for Policy Gradient Methods (2018) — 234 citations
- What Can Learned Intrinsic Rewards Capture? (2019) — 88 citations
- Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters (2017) — 378 citations