Michael Hahn

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 58 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Hahn trusts overall

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

  1. Tao Shen
  2. Hava T. Siegelmann
  3. Mirac Suzgun
  4. Elena Voita
  5. Yoshua Bengio
  6. Tianyi Zhou
  7. Jie Hao
  8. Geoffrey E. Hinton
  9. Ilya Sutskever
  10. Diederik P. Kingma

Who trusts Michael Hahn overall

  1. Zhengzhong Liang
  2. Nouha Dziri
  3. Steven Bethard
  4. Chulhee Yun
  5. J. O’Connor
  6. Mihai Surdeanu
  7. Samira Abnar
  8. Ziwei Xu
  9. Chadi Helwe
  10. Ximing Lu

Papers from Michael Hahn's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Long Short-Term Memory
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet classification with deep convolutional neural networks
  6. Gradient-based learning applied to document recognition
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  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. ImageNet: A large-scale hierarchical image database

Their papers