Majeed Kazemitabaar

Computer Science Applications · 2023–2024

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

Subfields

Whom Majeed Kazemitabaar trusts overall

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

  1. Filiz Kalelioğlu
  2. J. V. van Merriënboer
  3. Miriam Bruhn
  4. John Sweller
  5. Sami Sarsa
  6. Victor Zhong
  7. Paul Denny
  8. Matej Balog
  9. Wang Ling
  10. Richard Socher

Papers from Majeed Kazemitabaar's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Long Short-Term Memory
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Gradient-based learning applied to document recognition
  10. ImageNet: A large-scale hierarchical image database

Their papers