Olivier Temam

Computer Vision and Pattern Recognition · 2014–2015

A researcher in the Science corpus: 4 papers; trusts 11 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Olivier Temam trusts overall

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

  1. Geoffrey E. Hinton
  2. Yann LeCun

Who trusts Olivier Temam overall

  1. Patrick Judd

Papers from Olivier Temam's perspective

Ordered by how strongly the researchers Olivier Temam 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. ImageNet: A large-scale hierarchical image database
  4. GradientBased Learning Applied to Document Recognition
  5. Training Products of Experts by Minimizing Contrastive Divergence
  6. Large Scale Distributed Deep Networks
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Building high-level features using large scale unsupervised learning
  9. A unified architecture for natural language processing: deep neural networks with multitask learning
  10. Long Short-Term Memory

Their papers