Darsh J. Shah

Artificial Intelligence · 2019

A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Darsh J. Shah trusts overall

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

  1. Robin Jia
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Stefan Evert
  5. Diederik P. Kingma
  6. Richard Socher
  7. Jeffrey Pennington
  8. William Yang Wang
  9. Percy Liang
  10. Ilya Sutskever

Who trusts Darsh J. Shah overall

  1. James Thorne
  2. Andreas Vlachos
  3. Tal Schuster
  4. Amrith Krishna

Papers from Darsh J. Shah's perspective

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

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