Byungsoo Kim

with Azevedo · 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.

Whom Byungsoo Kim trusts overall

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

  1. Andrew L. Maas
  2. Individualized Treat
  3. Xiaoxiao Guo
  4. David Berthelot
  5. Julia Ling
  6. Cheng Yang
  7. Lukas Mosser
  8. Steffen Wiewel
  9. Jonathan Tompson
  10. Lubor Ladicky

Who trusts Byungsoo Kim overall

  1. Han Gao
  2. Lyle Regenwetter
  3. Yohai Bar-Sinai
  4. Luning Sun
  5. Amin Heyrani Nobari

Papers from Byungsoo Kim's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. GENERATIVE ADVERSARIAL NETS
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers