Melissa Berthelot

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Melissa Berthelot trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Alex Krizhevsky
  4. Yann LeCun
  5. Laurent Younes
  6. Ruslan Salakhutdinov
  7. Marc'Aurelio Ranzato
  8. Pascal Vincent
  9. Ilya Sutskever

Who trusts Melissa Berthelot overall

  1. Alfredo Vellido

Papers from Melissa Berthelot's perspective

Ordered by how strongly the researchers Melissa Berthelot trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Long Short-Term Memory
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Going deeper with convolutions
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Dropout: a simple way to prevent neural networks from overfitting
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. A Fast Learning Algorithm for Deep Belief Nets

Their papers