Gokul Yenduri

Artificial Intelligence · 2021–2023

A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Gokul Yenduri trusts overall

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

  1. Michal Kosinski
  2. Alec Radford
  3. Geoffrey E. Hinton
  4. Ilya Sutskever
  5. Yoshua Bengio
  6. J. Urgen Schmidhuber
  7. Diederik P. Kingma
  8. Alex Krizhevsky
  9. Ashish Vaswani
  10. Noam Shazeer

Papers from Gokul Yenduri's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  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. ImageNet Large Scale Visual Recognition Challenge
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers