Jaesung Tae

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 4 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jaesung Tae trusts overall

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

  1. Adrian La'ncucki
  2. B.D.O. Anderson
  3. Eric Moulines
  4. Yang Song
  5. Jungil Kong
  6. Masanori Morise
  7. Jong Wook Kim
  8. Vadim Popov
  9. Diederik P. Kingma
  10. Myeonghun Jeong

Who trusts Jaesung Tae overall

  1. Ling Yang

Papers from Jaesung Tae's perspective

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

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