Jin Cao

Artificial Intelligence · with Casale · 2017

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Reinforcement Learning — 10 citations into it

Whom Jin Cao trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ilya Sutskever
2. Heriberto Cuayáhuitl
3. Volodymyr Mnih

Papers from Jin Cao's perspective

Ordered by how strongly the researchers Jin Cao trusts endorse each paper. Same corpus, a different order for every researcher.

1. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
2. Human-level control through deep reinforcement learning
3. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
4. ImageNet classification with deep convolutional neural networks
5. Playing Atari with Deep Reinforcement Learning (arXiv.org)
6. Long Short-Term Memory
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Gradient-based learning applied to document recognition
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Learning Robust Dialog Policies in Noisy Environments (2017) — 24 citations