Mohammad Saleh

Artificial Intelligence · 2018–2024

A researcher in the Science corpus: 7 papers; trusts 184 researchers and is trusted by 76 researchers here, as inferred from the citation graph.

Subfields

Whom Mohammad Saleh trusts overall

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

  1. Chin-Yew Lin
  2. Yoshua Bengio
  3. Ilya Sutskever
  4. Geoffrey E. Hinton
  5. Noam Shazeer
  6. Sepp Hochreiter
  7. Ronald J. Williams
  8. Diederik P. Kingma
  9. Ashish Vaswani
  10. Alex Krizhevsky

Who trusts Mohammad Saleh overall

  1. Wojciech Kryscinski
  2. Yu-An Chung
  3. Alexander R. Fabbri
  4. Tanya Goyal
  5. Timo Schick
  6. Yixin Liu
  7. Noam Shazeer
  8. Yi Tay
  9. Iz Beltagy
  10. Jimmy J. Lin

Papers from Mohammad Saleh's perspective

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

Their papers