Beakcheol Jang

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Beakcheol Jang trusts overall

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

  1. Yoon Kim
  2. Nal Kalchbrenner
  3. Aliaksei Severyn
  4. Gang Liu
  5. Jacob Devlin
  6. Zhiheng Huang
  7. Shiyao Wang
  8. Geoffrey E. Hinton
  9. Jinghe Zhang
  10. Yoshua Bengio

Papers from Beakcheol Jang's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers