Max W. Y. Lam

Generative Models · 2018–2022

A researcher in the Science corpus: 5 papers; trusts 13 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Max W. Y. Lam trusts overall

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

  1. Aapo Hyvärinen
  2. Pascal Vincent
  3. Yang Song
  4. Geoffrey E. Hinton
  5. Prafulla Dhariwal
  6. Diederik P. Kingma
  7. Alex Nichol
  8. Alex Krizhevsky
  9. Yoshua Bengio
  10. Jascha Narain Sohl-Dickstein

Who trusts Max W. Y. Lam overall

  1. Rongjie Huang
  2. Yi Ren
  3. Zhou Zhao
  4. Luping Liu
  5. Neta Shaul
  6. Haohe Liu
  7. Jinglin Liu

Papers from Max W. Y. Lam's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. GENERATIVE ADVERSARIAL NETS

Their papers