Antonio Valerio Miceli Barone

Artificial Intelligence · 2017

A researcher in the Science corpus: 5 papers; trusts 140 researchers and is trusted by 62 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 74 citations into it; #3,589 of 35,345 by trust here, #4,276 by citations
• Natural Language Processing — 59 citations into it; #864 of 5,688 by trust here, #1,038 by citations
• Computer Vision and Pattern Recognition — 32 citations into it; #5,044 of 21,575 by trust here, #8,612 by citations
• Optimization & Training — 17 citations into it; #1,288 of 2,601 by trust here, #1,661 by citations
• Evaluation & Benchmarks — 15 citations into it
• Model Architectures — 14 citations into it
• Management Science and Operations Research — 5 citations into it

Whom Antonio Valerio Miceli Barone trusts overall

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

1. Rico Sennrich
2. Diederik P. Kingma
3. Barry Haddow
4. Ilya Sutskever
5. Kyunghyun Cho
6. Yoshua Bengio
7. Geoffrey E. Hinton
8. Dzmitry Bahdanau
9. Alexandra Birch
10. Yarin Gal

Who trusts Antonio Valerio Miceli Barone overall

1. Miltiadis Allamanis
2. Chenhui Chu
3. Aditya Kanade
4. Felix Stahlberg
5. Danielle Saunders
6. Huda Khayrallah
7. Brian Thompson
8. Anna Currey
9. Aishwarya Kamath
10. Philipp Koehn

Papers from Antonio Valerio Miceli Barone's perspective

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

Their papers

• A Parallel Corpus of Python Functions and Documentation Strings for Automated Code Documentation and Code Generation (2017) — 179 citations
• Nematus: a Toolkit for Neural Machine Translation (2017) — 407 citations
• The University of Edinburgh’s Neural MT Systems for WMT17 (2017) — 187 citations
• Copied Monolingual Data Improves Low-Resource Neural Machine Translation (2017) — 200 citations
• Regularization techniques for fine-tuning in neural machine translation (2017) — 112 citations