Geehyuk Lee

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Geehyuk Lee trusts

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

  1. David McNeill (in Developmental and Educational Psychology)
  2. Michael Kipp (in Artificial Intelligence)
  3. Yoshua Bengio (in Artificial Intelligence)
  4. Kyunghyun Cho (in Artificial Intelligence)
  5. Dzmitry Bahdanau (in Artificial Intelligence)

Papers from Geehyuk Lee's perspective

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

  1. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  4. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. GloVe: Global Vectors for Word Representation
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers