Kwangjun Ahn

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 3 papers; trusts 25 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Kwangjun Ahn trusts overall

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

  1. Paul Tseng
  2. L. Eon Bottou
  3. Alex Graves
  4. Sepp Hochreiter
  5. J. Urgen Schmidhuber
  6. Geoffrey E. Hinton
  7. John C. Duchi
  8. Rémi Bardenet
  9. J. Kiefer
  10. Yoshua Bengio

Who trusts Kwangjun Ahn overall

  1. Shashank Rajput
  2. Lam M. Nguyen
  3. Kangwook Lee
  4. Namhoon Cho
  5. Quoc Tran-Dinh

Papers from Kwangjun Ahn's perspective

Ordered by how strongly the researchers Kwangjun Ahn 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers