Trieu H. Trinh

Artificial Intelligence · 2018–2025

A researcher in the Science corpus: 5 papers; trusts 351 researchers and is trusted by 124 researchers here, as inferred from the citation graph.

Subfields

Whom Trieu H. Trinh trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Quoc V. Le
  5. Sepp Hochreiter
  6. Ilya Sutskever
  7. Alex Krizhevsky
  8. Yann LeCun
  9. Tomas Mikolov
  10. Diederik P. Kingma

Who trusts Trieu H. Trinh overall

  1. M. V. Koroteev
  2. Xiaodong Liu
  3. Hangbo Bao
  4. Yen-Chun Chen
  5. Wenhui Wang
  6. Ali Emami
  7. Li Dong
  8. Zhenda Xie
  9. Tassilo Johannes Klein
  10. Paul Trichelair

Papers from Trieu H. Trinh's perspective

Ordered by how strongly the researchers Trieu H. Trinh 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers