Seyun Um

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 Seyun Um 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 Seyun Um overall

  1. Bastian Schnell
  2. Zhaoxi Mu
  3. Xu Tan
  4. Arijit Mukherjee
  5. Philip N. Garner
  6. Andreas Triantafyllopoulos
  7. Xinyu Yang

Papers from Seyun Um's perspective

Ordered by how strongly the researchers Seyun Um 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. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  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