C. Lam

Artificial Intelligence · with Aylett-Bullock · 2020

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom C. Lam trusts overall

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

  1. Yann LeCun
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Linda Wang
  6. Sepp Hochreiter
  7. Trevor J. Hastie
  8. Alex Krizhevsky
  9. Xin-She Yang
  10. Christian Szegedy

Papers from C. Lam's perspective

Ordered by how strongly the researchers C. 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. Long Short-Term Memory
  3. ImageNet classification with deep convolutional neural networks
  4. ImageNet: A large-scale hierarchical image database
  5. Going deeper with convolutions
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. GENERATIVE ADVERSARIAL NETS
  9. Attention is All you Need (Neural Information Processing Systems)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers