Michelle T. Vanni

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Natural Language Processing — 23 citations into it

Whom Michelle T. Vanni trusts overall

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

1. Percy Liang
2. Dzmitry Bahdanau
3. Yoshua Bengio

Papers from Michelle T. Vanni's perspective

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

1. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Gradient-based learning applied to document recognition
10. ImageNet: A large-scale hierarchical image database

Their papers

• Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases (2020) — 329 citations