S. Mostafavi

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom S. Mostafavi trusts

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

  1. Scott M. Lundberg (in Artificial Intelligence)
  2. Su-In Lee (in Artificial Intelligence)
  3. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  4. Karen Simonyan (in Computer Vision and Pattern Recognition)
  5. Andrea Vedaldi (in Computer Vision and Pattern Recognition)

Papers from S. Mostafavi's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  3. Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
  4. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  5. Improving neural networks by preventing co-adaptation of feature detectors
  6. ImageNet classification with deep convolutional neural networks
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Axiomatic Attribution for Deep Networks
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers