Marco Turchi

Artificial Intelligence · 2013–2021

A researcher in the Science corpus: 24 papers; trusts 427 researchers and is trusted by 54 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 558 citations into it; #4,169 of 35,345 by trust here, #1,799 by citations
• Natural Language Processing — 521 citations into it; #2,104 of 5,688 by trust here, #752 by citations
• Evaluation & Benchmarks — 230 citations into it; #1,449 of 3,147 by trust here, #344 by citations
• Computer Vision and Pattern Recognition — 138 citations into it; #12,007 of 21,575 by trust here, #10,500 by citations
• Machine Translation — 99 citations into it; #14 of 292 by trust here, #5 by citations
• Speech & Audio — 54 citations into it; #351 of 1,076 by trust here, #426 by citations
• Safety, Robustness & Interpretability — 48 citations into it
• Model Architectures — 42 citations into it

Whom Marco Turchi trusts overall

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

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

Who trusts Marco Turchi overall

1. Changhan Wang
2. Ondrej Bojar
3. Yun Tang
4. Rajen Chatterjee
5. Juan Pino
6. Ankur Bapna
7. Chenhui Chu
8. Philipp Koehn
9. Varvara Logacheva
10. Lucia Specia

Papers from Marco Turchi's perspective

Ordered by how strongly the researchers Marco Turchi 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
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
• Enhancing Transformer for End-to-end Speech-to-Text Translation (2019) — 54 citations
• The IWSLT 2018 Evaluation Campaign (2018) — 68 citations
• Linguistically Motivated Vocabulary Reduction for Neural Machine Translation from Turkish to English (2017) — 122 citations