Soobin Suh

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Soobin Suh trusts overall

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

  1. Ilya Sutskever
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Kyunghyun Cho
  7. Oriol Vinyals
  8. Sepp Hochreiter
  9. Dzmitry Bahdanau
  10. Alex Graves

Papers from Soobin Suh's perspective

Ordered by how strongly the researchers Soobin Suh 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Gradient-based learning applied to document recognition
  10. Dropout: a simple way to prevent neural networks from overfitting

Their papers