Min-Yen Kan

Artificial Intelligence · International Conference on Language Resources and Evaluation · 2007–2020

A researcher in the Science corpus: 18 papers; trusts 157 researchers and is trusted by 61 researchers here, as inferred from the citation graph.

Subfields

Whom Min-Yen Kan trusts overall

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

  1. Steffen Rendle
  2. Yehuda Koren
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Philipp Koehn
  7. Peter D. Turney
  8. Ilya Sutskever
  9. Alex Krizhevsky
  10. Christopher D. Manning

Who trusts Min-Yen Kan overall

  1. Xiangnan He
  2. Xiang Wang
  3. Corina Florescu
  4. Hanwang Zhang
  5. Yonatan Belinkov
  6. Tat-seng Chua
  7. Zhiyong Cheng
  8. Christian Stab
  9. Yongfeng Zhang
  10. Xu Chen

Papers from Min-Yen Kan's perspective

Ordered by how strongly the researchers Min-Yen Kan 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers