Reilly Cannon

Computer Vision and Pattern Recognition · 2024–2025

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Reilly Cannon trusts overall

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

  1. R. Fisher
  2. Yoshua Bengio
  3. Navneet Dalal
  4. Geoffrey E. Hinton
  5. Liang Wang
  6. Diederik P. Kingma
  7. Alex Krizhevsky
  8. Jonathan Ho
  9. Ilya Sutskever
  10. Kaiming He

Papers from Reilly Cannon's perspective

Ordered by how strongly the researchers Reilly Cannon 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers