Fumin Wang

Artificial Intelligence · with Blunsom · 2016–2017

A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 47 citations into it; #15,263 of 35,345 by trust here, #3,423 by citations
• Natural Language Processing — 43 citations into it; #3,665 of 5,688 by trust here, #1,143 by citations
• Reinforcement Learning — 26 citations into it; #2,119 of 2,242 by trust here, #474 by citations

Whom Fumin Wang trusts overall

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

1. Ilya Sutskever
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. E. Todorov
5. Sepp Hochreiter
6. Volodymyr Mnih
7. Alex Krizhevsky
8. Oriol Vinyals
9. Diederik P. Kingma
10. J. Urgen Schmidhuber

Who trusts Fumin Wang overall

1. Andrew Kyle Lampinen

Papers from Fumin Wang's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Long Short-Term Memory
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Gradient-based learning applied to document recognition
9. Et al
10. ImageNet: A large-scale hierarchical image database

Their papers

• Grounded Language Learning in a Simulated 3D World (2017) — 317 citations
• Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards (2017) — 764 citations
• Latent Predictor Networks for Code Generation (2016) — 410 citations