Seyedeh Sara Mahdavi

Computer Vision and Pattern Recognition · 2022–2023

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Seyedeh Sara Mahdavi trusts

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

  1. Jonathan Ho (in Computer Vision and Pattern Recognition)
  2. Prafulla Dhariwal (in Computer Vision and Pattern Recognition)
  3. Alex Nichol (in Computer Vision and Pattern Recognition)
  4. Pascal Vincent (in Computer Vision and Pattern Recognition)
  5. Ilya Sutskever (in Computer Vision and Pattern Recognition)
  6. Alex Krizhevsky (in Computer Vision and Pattern Recognition)

Papers from Seyedeh Sara Mahdavi's perspective

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

  1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  2. Language Models are Unsupervised Multitask Learners
  3. 5分で分かる!? 有名論文ナナメ読み：Jacob Devlin et al. : BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding
  4. GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
  5. Improving Language Understanding by Generative Pre-Training
  6. Multitask Learning
  7. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  8. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
  9. ImageNet classification with deep convolutional neural networks
  10. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)

Their papers