Suyeon Choi

Media Technology · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Suyeon Choi trusts overall

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

  1. George Barbastathis
  2. Diederik P. Kingma
  3. Stephen A. Benton
  4. Olaf Ronneberger
  5. Yair Rivenson

Papers from Suyeon Choi's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Gradient-based learning applied to document recognition
  6. Learning Multiple Layers of Features from Tiny Images
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Long Short-Term Memory
  10. ImageNet: A large-scale hierarchical image database

Their papers