John Gerard Breslin

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 4 papers; trusts 81 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom John Gerard Breslin trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoon Kim
  3. Diederik P. Kingma
  4. Yann LeCun
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Sepp Hochreiter
  8. Ilya Sutskever
  9. Jimmy Ba
  10. J. Urgen Schmidhuber

Who trusts John Gerard Breslin overall

  1. A. Ozbayoglu
  2. Tom Young
  3. Praveen Dakwale
  4. Lin Wang
  5. Wei Xue

Papers from John Gerard Breslin's perspective

Ordered by how strongly the researchers John Gerard Breslin 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers