Amal Alabdulkarim

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Amal Alabdulkarim trusts overall

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

  1. Prithviraj Ammanabrolu
  2. Karin Kipper Schuler
  3. Alec Radford
  4. Gabor Angeli
  5. Mark O. Riedl
  6. Lara J. Martin
  7. Yoshua Bengio
  8. Abigail See
  9. Christopher D. Manning
  10. Petar Velickovic

Who trusts Amal Alabdulkarim overall

  1. Ximing Lu

Papers from Amal Alabdulkarim's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Long Short-Term Memory
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  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. 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. Language Models are Unsupervised Multitask Learners

Their papers