M. Chekol

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom M. Chekol trusts overall

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

  1. Steffen Rendle
  2. Yehuda Koren
  3. Maximilian Nickel
  4. Richard Socher
  5. Antoine Bordes
  6. Lars Schmidt-Thieme

Who trusts M. Chekol overall

  1. Woojeong Jin
  2. Seyed Mehran Kazemi
  3. Alberto García-Durán
  4. Rishab Goel

Papers from M. Chekol's perspective

Ordered by how strongly the researchers M. Chekol 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. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers