Peter T. Pham

Artificial Intelligence · 2009–2011

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 146 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Natural Language Processing — 11 citations into it; #946 of 5,688 by trust here, #471 by citations
• Representation & Self-Supervised Learning — 8 citations into it; #723 of 3,145 by trust here, #236 by citations

Whom Peter T. Pham trusts overall

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

1. Geoffrey E. Hinton
2. Bo Pang
3. Yoshua Bengio
4. Honglak Lee
5. Douglas A. Reynolds
6. Andrew Y. Ng
7. Ronan Collobert
8. Yann LeCun
9. Andriy Mnih
10. Alex Krizhevsky

Who trusts Peter T. Pham overall

1. Yoshua Bengio
2. Li Deng
3. Quoc V. Le
4. Yi Tay
5. Dong Yu
6. Kyunghyun Cho
7. Percy Liang
8. Ruslan Salakhutdinov
9. Dan Hendrycks
10. Mohit Bansal

Papers from Peter T. Pham's perspective

Ordered by how strongly the researchers Peter T. 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. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Unsupervised feature learning for audio classification using convolutional deep belief networks (2009) — 1,175 citations
• Learning Word Vectors for Sentiment Analysis (2011) — 6,097 citations