Apurva Shah

Artificial Intelligence · 2016–2022

A researcher in the Science corpus: 4 papers; trusts 67 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Apurva Shah trusts overall

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

  1. David M. Blei
  2. Michael I. Jordan
  3. Diederik P. Kingma
  4. Geoffrey E. Hinton
  5. Arthur U. Asuncion
  6. Muthu Dayalan
  7. Radford M. Neal
  8. Yee Whye Teh
  9. Yoshua Bengio
  10. Max Welling

Who trusts Apurva Shah overall

  1. Quoc V. Le
  2. Caiming Xiong
  3. Richard Socher

Papers from Apurva Shah's perspective

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

Their papers