Matteo Negri

Artificial Intelligence · 2011–2021

A researcher in the Science corpus: 26 papers; trusts 452 researchers and is trusted by 54 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 585 citations into it; #4,170 of 35,345 by trust here, #1,790 by citations
• Natural Language Processing — 532 citations into it; #2,088 of 5,688 by trust here, #746 by citations
• Evaluation & Benchmarks — 235 citations into it; #1,504 of 3,147 by trust here, #355 by citations
• Computer Vision and Pattern Recognition — 153 citations into it; #12,008 of 21,575 by trust here, #10,154 by citations
• Machine Translation — 100 citations into it; #15 of 292 by trust here, #5 by citations
• Speech & Audio — 52 citations into it; #350 of 1,076 by trust here, #426 by citations
• Safety, Robustness & Interpretability — 48 citations into it
• Model Architectures — 47 citations into it

Whom Matteo Negri trusts overall

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

1. Philipp Koehn
2. Diederik P. Kingma
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Ilya Sutskever
6. Franz Joseph Och
7. Kyunghyun Cho
8. Rico Sennrich
9. Alex Graves
10. Yann LeCun

Who trusts Matteo Negri overall

1. Changhan Wang
2. Yun Tang
3. Ondrej Bojar
4. Juan Pino
5. Rajen Chatterjee
6. José G. C. de Souza
7. Naomi Zeichner
8. Miquel Esplà-Gomis
9. Philipp Koehn
10. Anne Wu

Papers from Matteo Negri's perspective

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

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

Their papers

• Findings of the 2016 Conference on Machine Translation (2016) — 838 citations
• Findings of the 2017 Conference on Machine Translation (WMT17) (2017) — 543 citations
• Findings of the 2015 Workshop on Statistical Machine Translation (2015) — 344 citations
• Multi-Domain Neural Machine Translation through Unsupervised Adaptation (2017) — 133 citations
• MuST-C: a Multilingual Speech Translation Corpus (2019) — 493 citations
• Exploring the Planet of the APEs: a Comparative Study of State-of-the-art Methods for MT Automatic Post-Editing (2015) — 58 citations
• The Multilingual TEDx Corpus for Speech Recognition and Translation (2021) — 154 citations
• Findings of the WMT 2020 Shared Task on Automatic Post-Editing (2020) — 37 citations
• One-to-Many Multilingual End-to-End Speech Translation (2019) — 53 citations
• Transfer Learning in Multilingual Neural Machine Translation with Dynamic Vocabulary (2018) — 72 citations
• The FBK Participation in the WMT15 Automatic Post-editing Shared Task (2015) — 32 citations
• The FBK Participation in the WMT 2016 Automatic Post-editing Shared Task (2016) — 10 citations
• Adapting Multilingual Neural Machine Translation to Unseen Languages (2019) — 21 citations
• MuST-C: A multilingual corpus for end-to-end speech translation (2021) — 186 citations
• Gender Bias in Machine Translation (2021) — 263 citations
• Findings of the 2021 Conference on Machine Translation (WMT21) (2021) — 244 citations
• FINDINGS OF THE IWSLT 2020 EVALUATION CAMPAIGN (2020) — 140 citations
• Entropic gradient descent algorithms and wide flat minima (2020) — 40 citations
• Enhancing Transformer for End-to-end Speech-to-Text Translation (2019) — 54 citations
• Linguistically Motivated Vocabulary Reduction for Neural Machine Translation from Turkish to English (2017) — 122 citations