Cheikh Latyr Fall

Biomedical Engineering · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Cheikh Latyr Fall trusts overall

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

  1. Angkoon Phinyomark
  2. Yarin Gal
  3. Kaiming He
  4. Kevin B. Englehart
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Sergey Ioffe
  8. Yoshua Bengio
  9. Jaka Demsar
  10. Paul S. Addison

Papers from Cheikh Latyr Fall's perspective

Ordered by how strongly the researchers Cheikh Latyr Fall 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Dropout: a simple way to prevent neural networks from overfitting
  10. Learning Multiple Layers of Features from Tiny Images

Their papers