Rahul Aralikatte

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 79 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Rahul Aralikatte trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Tomas Mikolov
  5. Ilya Sutskever
  6. Alex Krizhevsky
  7. Oriol Vinyals
  8. Kyunghyun Cho
  9. Yann LeCun
  10. Kaiming He

Who trusts Rahul Aralikatte overall

  1. Saku Sugawara
  2. Seanie Lee
  3. Matt Gardner

Papers from Rahul Aralikatte's perspective

Ordered by how strongly the researchers Rahul Aralikatte 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. 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