Jay Pujara

Artificial Intelligence · 2013–2022

A researcher in the Science corpus: 9 papers; trusts 248 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Jay Pujara trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Ilya Sutskever
  5. Jacob Devlin
  6. Alex Krizhevsky
  7. Tomas Mikolov
  8. Alec Radford
  9. Kaiming He
  10. Yann LeCun

Who trusts Jay Pujara overall

  1. Emmanouil Antonios Platanios
  2. Tom Michael Mitchell
  3. Rodrigo Nogueira
  4. Sarasi Lalithsena
  5. Nora Kassner
  6. Stephen H. Bach
  7. Avrim Blum
  8. Pei Zhou

Papers from Jay Pujara's perspective

Ordered by how strongly the researchers Jay Pujara 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  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