T. Huynh

Artificial Intelligence · with Nguyen · 2022

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom T. Huynh trusts overall

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

  1. William L. Hamilton
  2. Simon S. Haykin
  3. Aditya Golatkar
  4. Alex Krizhevsky
  5. F. Maxwell Harper

Papers from T. Huynh's perspective

Ordered by how strongly the researchers T. Huynh 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. Learning Multiple Layers of Features from Tiny Images
  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. Attention is All you Need (Neural Information Processing Systems)
  9. GradientBased Learning Applied to Document Recognition
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers