Ademola Enitan Ilesanmi

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 325 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ademola Enitan Ilesanmi trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Karen Simonyan
  4. Geoffrey E. Hinton
  5. Sergey Ioffe
  6. Alex Krizhevsky
  7. Yoshua Bengio
  8. Yann LeCun
  9. Christian Szegedy
  10. Andrew Zisserman

Papers from Ademola Enitan Ilesanmi's perspective

Ordered by how strongly the researchers Ademola Enitan Ilesanmi 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers