Diane Bouchacourt

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 6 papers; trusts 463 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

Whom Diane Bouchacourt trusts overall

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

  1. Diederik P. Kingma
  2. Yann LeCun
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Karen Simonyan
  6. Alex Krizhevsky
  7. Ilya Sutskever
  8. Jimmy Ba
  9. Kaiming He
  10. Max Welling

Who trusts Diane Bouchacourt overall

  1. Francesco Locatello
  2. Aviv Gabbay
  3. Haruo Hosoya
  4. Yotam Nitzan
  5. Yedid Hoshen
  6. Gyeongsik Moon
  7. Bernhard Schölkopf
  8. L. Eon Bottou
  9. Ramakrishna Vedantam
  10. Mikolaj Binkowski

Papers from Diane Bouchacourt's perspective

Ordered by how strongly the researchers Diane Bouchacourt 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers