Chau Tran

Artificial Intelligence · 2020–2022

A researcher in the Science corpus: 5 papers; trusts 89 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Chau Tran trusts overall

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

  1. Mikel Artetxe
  2. Holger Schwenk
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Diederik P. Kingma
  6. Ilya Sutskever
  7. Ashish Vaswani
  8. Tomas Mikolov
  9. Alex Krizhevsky
  10. Philipp Koehn

Who trusts Chau Tran overall

  1. Akari Asai
  2. Mandar Joshi
  3. Haoran Li
  4. Changhan Wang
  5. Laura Perez-Beltrachini
  6. Yuqing Tang
  7. Xian Li
  8. Xinyan Velocity Yu
  9. Hang Le
  10. Juan Pino

Papers from Chau Tran's perspective

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

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

Their papers