Maria Chang

Artificial Intelligence · 2018

A researcher in the Science corpus: 3 papers; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Maria Chang trusts overall

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

  1. Peter Clark
  2. Shuohang Wang
  3. Tushar Khot
  4. Yoshua Bengio
  5. Ilya Sutskever
  6. Geoffrey E. Hinton
  7. Diederik P. Kingma
  8. Alex Krizhevsky
  9. Richard Socher
  10. Dzmitry Bahdanau

Papers from Maria Chang's perspective

Ordered by how strongly the researchers Maria Chang 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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet classification with deep convolutional neural networks
  7. Sequence to Sequence Learning with Neural Networks (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. GloVe: Global Vectors for Word Representation
  10. ImageNet: A large-scale hierarchical image database

Their papers