Lisa Bauer

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 99 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Lisa Bauer trusts overall

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

  1. Diederik P. Kingma
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Dzmitry Bahdanau
  5. Jimmy Ba
  6. Ilya Sutskever
  7. Antoine Bordes
  8. Jason Aaron Edward Weston
  9. Alex Krizhevsky
  10. Gerlof J. Bouma

Who trusts Lisa Bauer overall

  1. Adyasha Maharana
  2. Mohit Bansal
  3. Nicola De Cao
  4. Shaoxiong Ji
  5. Kaixin Ma
  6. Yubo Xie
  7. Xiaohan Zou
  8. Ben Zhou
  9. Wilker Aziz
  10. Yifei Li

Papers from Lisa Bauer's perspective

Ordered by how strongly the researchers Lisa Bauer 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers