Hossein Vahabi

Artificial Intelligence · 2015–2021

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Hossein Vahabi trusts overall

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

  1. Yoshua Bengio
  2. Alex Graves
  3. Ilya Sutskever
  4. Geoffrey E. Hinton
  5. David E. Rumelhart
  6. Kyunghyun Cho
  7. Oriol Vinyals
  8. Alex Krizhevsky
  9. Diederik P. Kingma
  10. Ronald J. Williams

Who trusts Hossein Vahabi overall

  1. Iulian Serban
  2. Massimo Quadrana
  3. Robin D. Burke
  4. Paolo Massa
  5. Zhe Gan
  6. Ryan J. Lowe

Papers from Hossein Vahabi's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

Their papers