Isabelle Bloch

Artificial Intelligence · 2001–2019

A researcher in the Science corpus: 9 papers; trusts 73 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Isabelle Bloch trusts overall

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

  1. Alex Krizhevsky
  2. Radford M. Neal
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Yann LeCun
  7. Kaiming He
  8. Ilya Sutskever
  9. Karen Simonyan
  10. Christian Szegedy

Who trusts Isabelle Bloch overall

  1. Ivan Donadello
  2. Seyed Hamid Rezatofighi

Papers from Isabelle Bloch's perspective

Ordered by how strongly the researchers Isabelle Bloch 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Learning Multiple Layers of Features from Tiny Images
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Going deeper with convolutions
  9. ImageNet: A large-scale hierarchical image database
  10. Long Short-Term Memory

Their papers