Rahul Gupta

Artificial Intelligence · with Chang · 2021–2023

A researcher in the Science corpus: 5 papers; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rahul Gupta trusts overall

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

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

Papers from Rahul Gupta's perspective

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

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

Their papers