Joon-Min Gil

Hum. centric Comput. Inf. Sci. · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Joon-Min Gil trusts overall

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

  1. David M. Blei
  2. Andrew Y. Ng

Papers from Joon-Min Gil's perspective

Ordered by how strongly the researchers Joon-Min Gil trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Latent Dirichlet Allocation
  2. Review on determining number of Cluster in K-Means Clustering
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Learning Multiple Layers of Features from Tiny Images
  6. ImageNet classification with deep convolutional neural networks
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. GENERATIVE ADVERSARIAL NETS

Their papers