Kijun Han

Artificial Intelligence · 2018

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

Subfields

Whom Kijun Han trusts

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

  1. Matthew D. Zeiler (in Artificial Intelligence)

Papers from Kijun Han's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Long Short-Term Memory
  4. ImageNet Large Scale Visual Recognition Challenge
  5. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
  6. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
  7. Scikit-learn: Machine Learning in Python
  8. ADADELTA: An Adaptive Learning Rate Method
  9. Contractive Auto-Encoders: Explicit Invariance During Feature Extraction
  10. Introduction to Semi-Supervised Learning

Their papers