Silvia Terragni

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it; #22,531 of 35,345 by trust here, #33,294 by citations
• Natural Language Processing — 11 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Silvia Terragni trusts overall

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

1. Geoffrey E. Hinton
2. David M. Blei
3. Tomas Mikolov
4. Ilya Sutskever
5. Yoshua Bengio
6. Yishu Miao
7. Diederik P. Kingma
8. Ruslan Salakhutdinov
9. Jacob Devlin
10. Michael I. Jordan

Who trusts Silvia Terragni overall

1. Maarten Grootendorst
2. Federico Bianchi
3. Yan Xu

Papers from Silvia Terragni's perspective

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

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

Their papers

• Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence (2020) — 408 citations