Audrey Durand

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Audrey Durand trusts overall

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

  1. Frank Hutter
  2. Nikolaus Hansen
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Iain Murray
  6. James Bergstra
  7. Jasper Snoek
  8. Balaji Lakshminarayanan
  9. Alex Krizhevsky
  10. Aaron Klein

Papers from Audrey Durand's perspective

Ordered by how strongly the researchers Audrey Durand 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. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  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