Steve Yadlowsky

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Steve Yadlowsky trusts overall

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

  1. Peter M. Robinson
  2. Whitney K. Newey
  3. Victor Chernozhukov
  4. Daniel McFadden
  5. Diederik P. Kingma
  6. Geoffrey E. Hinton
  7. Richard Socher
  8. Yoshua Bengio
  9. Christopher D. Manning
  10. Jacob Devlin

Papers from Steve Yadlowsky's perspective

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

  1. Long Short-Term Memory
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  6. ImageNet classification with deep convolutional neural networks
  7. ImageNet: A large-scale hierarchical image database
  8. Gradient-based learning applied to document recognition
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers