Mark Rowland

Artificial Intelligence · 2015–2023

A researcher in the Science corpus: 15 papers; trusts 110 researchers and is trusted by 48 researchers here, as inferred from the citation graph.

Subfields

Whom Mark Rowland trusts overall

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

  1. Richard S. Sutton
  2. Diederik P. Kingma
  3. Radford M. Neal
  4. Marc G. Bellemare
  5. Geoffrey E. Hinton
  6. Yoshua Bengio
  7. Alex Krizhevsky
  8. Alex Graves
  9. Yann LeCun
  10. John Schulman

Who trusts Mark Rowland overall

  1. Krzysztof Marcin Choromanski
  2. Marc G. Bellemare
  3. Greg Yang
  4. Pablo Samuel Castro
  5. Han Lin
  6. Will Dabney
  7. Clare Lyle
  8. Rishabh Agarwal
  9. Valerii Likhosherstov
  10. Georg Ostrovski

Papers from Mark Rowland's perspective

Ordered by how strongly the researchers Mark Rowland 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. GENERATIVE ADVERSARIAL NETS
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers