Trinh Minh Tri Do

Artificial Intelligence · 2010–2012

A researcher in the Science corpus: 2 papers; trusts 28 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

Whom Trinh Minh Tri Do trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. L. Eon Bottou
  4. Yann LeCun
  5. Andrew McCallum
  6. Alex Graves
  7. John D. Lafferty
  8. Graham W. Taylor
  9. Philip C. Woodland
  10. B. Taskar

Who trusts Trinh Minh Tri Do overall

  1. Yoav Goldberg
  2. Zhijian Ou
  3. Puyang Xu
  4. Mengqiu Wang
  5. L. V. D. van der Maaten
  6. Ossama Abdel-Hamid
  7. Nicholas FitzGerald
  8. Raviteja Vemulapalli
  9. Lu Xu
  10. Chen Zhu

Papers from Trinh Minh Tri Do's perspective

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

Their papers