Jongwoo Han

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jongwoo Han trusts overall

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

  1. Sergey Ioffe
  2. Geoffrey E. Hinton
  3. Jimmy Ba
  4. Da Li

Papers from Jongwoo Han's perspective

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

  1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Layer Normalization
  7. ImageNet Large Scale Visual Recognition Challenge
  8. ImageNet: A large-scale hierarchical image database
  9. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
  10. Long Short-Term Memory

Their papers