Babak Hodjat

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Babak Hodjat trusts overall

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

  1. Faustino J. Gomez
  2. Ronald J. Williams
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Tomas Mikolov
  6. Yoshua Bengio
  7. Kaiming He
  8. Risto Miikkulainen
  9. Alex Krizhevsky
  10. Ilya Sutskever

Papers from Babak Hodjat's perspective

Ordered by how strongly the researchers Babak Hodjat 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. ImageNet classification with deep convolutional neural networks
  3. Long Short-Term Memory
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Going deeper with convolutions
  7. Attention is All you Need (Neural Information Processing Systems)
  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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers