Ali Omrani

Artificial Intelligence · 2018–2020

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

Subfields

Whom Ali Omrani trusts overall

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

  1. Steven Bird
  2. Mike Schuster
  3. Frederick Liu
  4. Ji Ho Park
  5. Harini Kannan
  6. Moin Nadeem

Papers from Ali Omrani's perspective

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

  1. Language Models are Unsupervised Multitask Learners
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. ImageNet classification with deep convolutional neural networks
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Equality of Opportunity in Supervised Learning
  9. Mitigating Unwanted Biases with Adversarial Learning
  10. Gradient-based learning applied to document recognition

Their papers