Seung-won Hwang

Artificial Intelligence · with Lee · 2002–2019

A researcher in the Science corpus: 4 papers; trusts 99 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Seung-won Hwang trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Ilya Sutskever
  4. Lotfi A. Zadeh
  5. Dzmitry Bahdanau
  6. Alex Krizhevsky
  7. Tomas Mikolov
  8. Diederik P. Kingma
  9. Kyunghyun Cho
  10. Christopher D. Manning

Who trusts Seung-won Hwang overall

  1. Ihab F. Ilyas
  2. Yi Luo
  3. Nicolas Bruno
  4. Yen-Chun Chen
  5. Chengkai Li

Papers from Seung-won Hwang's perspective

Ordered by how strongly the researchers Seung-won Hwang 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. Gradient-based learning applied to document recognition
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. ImageNet: A large-scale hierarchical image database

Their papers