Mohaddeseh Bastan

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mohaddeseh Bastan trusts overall

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

  1. Janyce Wiebe
  2. Lingjia Deng
  3. Jacob Devlin
  4. Jenny Rose Finkel
  5. Iz Beltagy
  6. Yukun Ma
  7. Christopher D. Manning
  8. Mohit Iyyer
  9. Geoffrey E. Hinton
  10. Zhilin Yang

Papers from Mohaddeseh Bastan's perspective

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

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

Their papers