Jai Gupta

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 8 papers; trusts 136 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Jai Gupta trusts overall

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

  1. Geoffrey E. Hinton
  2. Noam Shazeer
  3. Ilya Sutskever
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Diederik P. Kingma
  7. Alex Graves
  8. Kaiming He
  9. Yann LeCun
  10. Sepp Hochreiter

Who trusts Jai Gupta overall

  1. Yi Tay
  2. Mostafa Dehghani

Papers from Jai Gupta's perspective

Ordered by how strongly the researchers Jai Gupta 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. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Long Short-Term Memory
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers