Hassan Mansoor

Artificial Intelligence · 2023–2025

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hassan Mansoor trusts overall

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

  1. Ronald J. Williams
  2. Jason Wei
  3. Richard S. Sutton
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Diederik P. Kingma
  7. John Schulman
  8. Xuezhi Wang
  9. Noam Shazeer
  10. Alex Krizhevsky

Papers from Hassan Mansoor's perspective

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

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

Their papers