Lam Dang Pham

Signal Processing · 2020

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lam Dang Pham trusts overall

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

  1. Diederik P. Kingma
  2. P. Loizou
  3. Kaiming He
  4. Individualized Treat

Papers from Lam Dang Pham's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. GENERATIVE ADVERSARIAL NETS
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Improved Techniques for Training GANs
  5. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
  6. ImageNet classification with deep convolutional neural networks
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers