Sangshin Oh

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sangshin Oh trusts overall

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

  1. Dzmitry Bahdanau
  2. Ilya Sutskever
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Oriol Vinyals
  6. Kyunghyun Cho
  7. Younggun Lee
  8. Alex Graves
  9. Quoc V. Le
  10. Diederik P. Kingma

Who trusts Sangshin Oh overall

  1. Bastian Schnell
  2. Zhaoxi Mu

Papers from Sangshin Oh's perspective

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

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

Their papers