Guru Guruganesh

Artificial Intelligence · 2020–2025

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Guru Guruganesh trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Ilya Sutskever
  4. Diederik P. Kingma
  5. Sepp Hochreiter
  6. Alex Krizhevsky
  7. Kenton C. T. Lee
  8. J. Urgen Schmidhuber
  9. Yann LeCun
  10. Kaiming He

Who trusts Guru Guruganesh overall

  1. Yi Tay
  2. Tri Dao
  3. Dominik Stammbach
  4. Beidi Chen
  5. Amirkeivan Mohtashami
  6. Andrea Madotto
  7. Hao Xue
  8. Alexios Gidiotis
  9. Mostafa Dehghani

Papers from Guru Guruganesh's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Long Short-Term Memory
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers