Valentina Bianchi

Computer Vision and Pattern Recognition · 2019

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

Subfields

Whom Valentina Bianchi trusts overall

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

  1. Subhas Chandra Mukhopadhyay
  2. Yuqing Chen
  3. Nils Y. Hammerla
  4. Jerome T. Connor
  5. James Bergstra
  6. Davide Anguita
  7. Jianbo Yang
  8. Wenchao Jiang
  9. Yang Xue
  10. Alex Krizhevsky

Papers from Valentina Bianchi's perspective

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

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

Their papers