Tongzheng Ren
Artificial Intelligence · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 89 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 47 citations into it; #30,808 of 35,345 by trust here, #25,040 by citations
- Computer Vision and Pattern Recognition — 25 citations into it
- Reinforcement Learning — 15 citations into it
- Optimization & Training — 12 citations into it; #2,407 of 2,601 by trust here, #2,428 by citations
- Model Architectures — 9 citations into it
Whom Tongzheng Ren trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Richard S. Sutton
- Geoffrey E. Hinton
- Chelsea Finn
- Alex Krizhevsky
- Yoshua Bengio
- Diederik P. Kingma
- Yann LeCun
- Ilya Sutskever
- Andrew Barto
Who trusts Tongzheng Ren overall
Papers from Tongzheng Ren's perspective
Ordered by how strongly the researchers Tongzheng Ren trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- 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
- MaxUp: A Simple Way to Improve Generalization of Neural Network Training (2020) — 59 citations
- Reward Shaping via Meta-Learning (2019) — 80 citations