Tae Jun Ham

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tae Jun Ham trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Jason Aaron Edward Weston
  4. Alex Graves
  5. Sumit Chopra
  6. Ilya Sutskever
  7. Diederik P. Kingma
  8. Alex Krizhevsky
  9. Dzmitry Bahdanau
  10. Yann LeCun

Who trusts Tae Jun Ham overall

  1. Hanrui Wang

Papers from Tae Jun Ham's perspective

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

Their papers