Dang Pham

Artificial Intelligence · 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 — 11 citations into it
• Natural Language Processing — 7 citations into it

Whom Dang Pham trusts overall

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

1. Yoon Kim
2. Geoffrey E. Hinton
3. Christopher D. Manning
4. Minqing Hu
5. Soo-Min Kim
6. Richard Socher
7. Nitish Srivastava
8. Ilya Sutskever
9. Alex Krizhevsky
10. Xingyou Wang

Papers from Dang Pham's perspective

Ordered by how strongly the researchers Dang Pham 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. Attention is All you Need (Neural Information Processing Systems)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
8. Dropout: a simple way to prevent neural networks from overfitting
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Combination of Domain Knowledge and Deep Learning for Sentiment Analysis (2017) — 8 citations