Pouya Pezeshkpour

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 5 papers; trusts 81 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Pouya Pezeshkpour trusts overall

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

  1. Richard Socher
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Kristina Toutanova
  5. Diederik P. Kingma
  6. Jacob Devlin
  7. Alex Krizhevsky
  8. Ilya Sutskever
  9. Nikita Nangia
  10. Yann LeCun

Who trusts Pouya Pezeshkpour overall

  1. Badr AlKhamissi
  2. Xiaochuang Han
  3. Yulia Tsvetkov
  4. Dheeraj Rajagopal
  5. Andrew Ilyas
  6. Millicent Li
  7. Asli Celikyilmaz
  8. Vidhisha Balachandran
  9. Sarthak Jain
  10. Sung Min Park

Papers from Pouya Pezeshkpour's perspective

Ordered by how strongly the researchers Pouya Pezeshkpour 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  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