Mark Collier

Artificial Intelligence · 2018–2025

A researcher in the Science corpus: 5 papers; trusts 83 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Mark Collier trusts overall

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

  1. Alex Graves
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Geoffrey E. Hinton
  5. Marc'Aurelio Ranzato
  6. Alex Krizhevsky
  7. Yann LeCun
  8. Jimmy Ba
  9. Arslan Chaudhry
  10. J. Urgen Schmidhuber

Who trusts Mark Collier overall

  1. Liyuan Wang
  2. David Watson
  3. Xingxing Zhang
  4. Chien-Lun Chen

Papers from Mark Collier's perspective

Ordered by how strongly the researchers Mark Collier 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers