Rachel Keraron

Natural Language Processing · 2020

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

Subfields

• Natural Language Processing — 28 citations into it

Whom Rachel Keraron trusts overall

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

1. Robert F. Simmons
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Jacob Devlin
5. Patrick Lewis
6. Diederik P. Kingma

Papers from Rachel Keraron's perspective

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

1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
2. Attention is All you Need (Neural Information Processing Systems)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. ImageNet classification with deep convolutional neural networks
7. Language Models are Unsupervised Multitask Learners
8. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering (2020) — 62 citations