Meera Hahn

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 2 papers; trusts 104 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Meera Hahn trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Alex Krizhevsky
  4. Kaiming He
  5. Yoshua Bengio
  6. Alec Radford
  7. Yann LeCun
  8. Ilya Sutskever
  9. Jonathan Ho
  10. Ross B. Girshick

Papers from Meera Hahn's perspective

Ordered by how strongly the researchers Meera Hahn 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. GENERATIVE ADVERSARIAL NETS
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers