Lan H. Nguyen

Representation & Self-Supervised Learning · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lan H. Nguyen trusts overall

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

  1. Jacob Goldberger
  2. Geoffrey E. Hinton
  3. Sam T. Roweis
  4. Ruslan Salakhutdinov

Papers from Lan H. Nguyen's perspective

Ordered by how strongly the researchers Lan H. Nguyen 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. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Learning Multiple Layers of Features from Tiny Images
  7. Long Short-Term Memory
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. ImageNet: A large-scale hierarchical image database
  10. GENERATIVE ADVERSARIAL NETS

Their papers