Peng Ding
Artificial Intelligence · with Li · 2017
A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 9 citations into it
- Reinforcement Learning — 9 citations into it; #1,687 of 2,242 by trust here, #2,160 by citations
- Computer Vision and Pattern Recognition — 6 citations into it
- Management Science and Operations Research — 5 citations into it
Whom Peng Ding trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard S. Sutton
- Diederik P. Kingma
- Sepp Hochreiter
- Yoshua Bengio
- Geoffrey E. Hinton
- J. Urgen Schmidhuber
- Sergey Levine
- Satinder Singh
- Andrew Barto
- Jimmy Ba
Who trusts Peng Ding overall
Papers from Peng Ding's perspective
Ordered by how strongly the researchers Peng Ding trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Reinforcement Learning: An Introduction
- Human-level control through deep reinforcement learning
- ImageNet: A large-scale hierarchical image database