Andre Cornman

Computer Vision and Pattern Recognition · 2021–2023

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Andre Cornman trusts overall

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

  1. Ilya Loshchilov
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Radford M. Neal
  5. Yuning Chai
  6. Kaiming He
  7. Jonathan Ho
  8. Tero Karras
  9. Alex Krizhevsky
  10. Yoshua Bengio

Papers from Andre Cornman's perspective

Ordered by how strongly the researchers Andre Cornman 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. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers