Puneet Agrawal

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 168 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Puneet Agrawal trusts overall

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

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

Who trusts Puneet Agrawal overall

  1. Saif M. Mohammad

Papers from Puneet Agrawal's perspective

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

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

Their papers