Minjae Lee

Artificial Intelligence · with Choe · 2020

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

Subfields

Whom Minjae Lee trusts overall

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

  1. Sergey Ioffe

Papers from Minjae Lee's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Prototypical Networks for Few-shot Learning
  4. Learning a similarity metric discriminatively, with application to face verification
  5. FaceNet: A unified embedding for face recognition and clustering
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers