Megan Ung

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 3 papers; trusts 41 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Megan Ung trusts overall

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

  1. Jason Aaron Edward Weston
  2. Kurt Shuster
  3. Klaus Krippendorff
  4. Stephen Roller
  5. Emily Dinan
  6. Margaret Li
  7. Eric Michael Smith
  8. Geoffrey E. Hinton
  9. Yoshua Bengio
  10. Antoine Bordes

Who trusts Megan Ung overall

  1. Kurt Shuster
  2. Waiman Si
  3. Nicholas Meade
  4. Prakhar Gupta
  5. Jing Xu
  6. Spandana Gella
  7. Weiyan Shi
  8. Michael Backes

Papers from Megan Ung's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. ImageNet classification with deep convolutional neural networks
  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. Long Short-Term Memory
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Gradient-based learning applied to document recognition
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers