Lisa Yankovskaya

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 36 citations into it
• Natural Language Processing — 30 citations into it
• Evaluation & Benchmarks — 19 citations into it

Whom Lisa Yankovskaya trusts overall

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

1. Alex Graves
2. Geoffrey E. Hinton
3. Ilya Sutskever
4. Yvette Graham
5. Yoshua Bengio
6. Philipp Koehn
7. David John Cameron MacKay
8. Alex Krizhevsky
9. Diederik P. Kingma
10. Myle Ott

Papers from Lisa Yankovskaya's perspective

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

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

Their papers

• Unsupervised Quality Estimation for Neural Machine Translation (2020) — 310 citations