Emmanuel Awa

Natural Language Processing · 2013–2020

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 40 citations into it
• Artificial Intelligence — 39 citations into it
• Cellular and Molecular Neuroscience — 5 citations into it
• Molecular Biology — 5 citations into it

Whom Emmanuel Awa trusts overall

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

1. Richard S. Sutton
2. Geoffrey E. Hinton
3. Eve Marder
4. Xiaodong Liu

Papers from Emmanuel Awa's perspective

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

1. Long Short-Term Memory
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
4. ImageNet classification with deep convolutional neural networks
5. Attention is All you Need (Neural Information Processing Systems)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Distilling the Knowledge in a Neural Network (arXiv.org)
8. Gradient-based learning applied to document recognition
9. Language Models are Unsupervised Multitask Learners
10. ImageNet: A large-scale hierarchical image database

Their papers

• The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding (2020) — 62 citations
• Robot coverage control by evolved neuromodulation (2013) — 9 citations