Theresa Breiner

Artificial Intelligence · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Theresa Breiner trusts overall

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

  1. Guillaume Lample
  2. Ashish Vaswani
  3. Mikel Artetxe
  4. Geoffrey E. Hinton
  5. Christian Buck
  6. Pedro Ortiz Suarez
  7. Yoshua Bengio
  8. Ilya Sutskever
  9. Diederik P. Kingma
  10. Tom Y. Ouyang

Who trusts Theresa Breiner overall

  1. Adrien Barbaresi

Papers from Theresa Breiner's perspective

Ordered by how strongly the researchers Theresa Breiner 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  4. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  5. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. ImageNet classification with deep convolutional neural networks
  9. Gradient-based learning applied to document recognition
  10. ImageNet: A large-scale hierarchical image database

Their papers