Roger A. Pearce

Computer Vision and Pattern Recognition · 2014–2015

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

Subfields

Whom Roger A. Pearce trusts overall

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

  1. James Hays
  2. Geoffrey E. Hinton
  3. Jia Deng
  4. Alex Krizhevsky
  5. Quoc V. Le

Who trusts Roger A. Pearce overall

  1. Mathilde Caron

Papers from Roger A. Pearce's perspective

Ordered by how strongly the researchers Roger A. Pearce trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. ImageNet: A large-scale hierarchical image database
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Learning Multiple Layers of Features from Tiny Images
  9. Going deeper with convolutions
  10. Efficient Estimation of Word Representations in Vector Space

Their papers