Se Rim Park

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Se Rim Park trusts overall

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

  1. Diederik P. Kingma
  2. Sergey Ioffe
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Xavier Glorot
  6. Yoshua Bengio
  7. Quoc V. Le
  8. Christian Szegedy
  9. Jimmy Ba
  10. Alex Krizhevsky

Who trusts Se Rim Park overall

  1. Mira Lilleholt Vik
  2. Ke Tan
  3. Cassia Valentini-Botinhao
  4. Daniel Michelsanti
  5. Ziyue Zhao
  6. Deliang Wang
  7. Kilian Schulze-Forster
  8. Umut Isik
  9. Jun Deng
  10. Junichi Yamagishi

Papers from Se Rim Park's perspective

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

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

Their papers