Puwei Wang

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Natural Language Processing — 22 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Puwei Wang trusts overall

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

1. Richard Socher
2. Ilya Sutskever
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Tomas Mikolov
6. Christopher D. Manning
7. Quoc V. Le
8. Yoon Kim
9. Diederik P. Kingma
10. Alex Krizhevsky

Papers from Puwei Wang's perspective

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

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

Their papers

• Weighted Neural Bag-of-n-grams Model: New Baselines for Text Classification (2016) — 25 citations