Arnaw

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Arnaw trusts overall

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

  1. Radford M. Neal
  2. Bernhard Schölkopf
  3. Geoffrey E. Hinton

Papers from Arnaw's perspective

Ordered by how strongly the researchers Arnaw 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. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Pattern Recognition and Machine Learning
  7. Learning Multiple Layers of Features from Tiny Images
  8. Deep Learning
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers