Devon Bernard

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Devon Bernard trusts overall

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

  1. Yoshua Bengio
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Hugo Larochelle
  5. Sepp Hochreiter

Papers from Devon Bernard's perspective

Ordered by how strongly the researchers Devon Bernard 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. Gradient-based learning applied to document recognition
  3. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. ImageNet classification with deep convolutional neural networks
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  10. Learning Multiple Layers of Features from Tiny Images

Their papers