Philip Pham

Artificial Intelligence · 2020–2025

A researcher in the Science corpus: 7 papers; trusts 126 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Philip Pham trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Ashish Vaswani
  5. Ilya Sutskever
  6. Diederik P. Kingma
  7. Kaiming He
  8. Jacob Devlin
  9. Yann LeCun
  10. Alex Graves

Who trusts Philip Pham overall

  1. Yi Tay
  2. Mostafa Dehghani

Papers from Philip Pham's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Long Short-Term Memory
  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. ImageNet: A large-scale hierarchical image database
  8. Gradient-based learning applied to document recognition
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers