Michael Petrochuk

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Petrochuk trusts overall

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

  1. Jeffrey Pennington
  2. Antoine Bordes
  3. Wen-tau Yih
  4. Sashank J. Reddi
  5. Samuel L. Smith
  6. Piotr Bojanowski
  7. Richard Socher
  8. Geoffrey E. Hinton
  9. Kurt Dewitt Bollacker
  10. Yoshua Bengio

Who trusts Michael Petrochuk overall

  1. Kelvin Jiang

Papers from Michael Petrochuk's perspective

Ordered by how strongly the researchers Michael Petrochuk trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  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. ImageNet Large Scale Visual Recognition Challenge
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers