Roldano Cattoni
Artificial Intelligence · 2015–2021
A researcher in the Science corpus: 8 papers; trusts 59 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 124 citations into it; #11,739 of 35,345 by trust here, #10,667 by citations
- Natural Language Processing — 90 citations into it; #3,859 of 5,688 by trust here, #2,407 by citations
- Evaluation & Benchmarks — 53 citations into it; #2,050 of 3,147 by trust here, #1,371 by citations
- Speech & Audio — 47 citations into it; #436 of 1,076 by trust here, #501 by citations
- Signal Processing — 31 citations into it
- Machine Translation — 30 citations into it; #56 of 292 by trust here, #34 by citations
- Computer Vision and Pattern Recognition — 27 citations into it
- Model Architectures — 24 citations into it
Whom Roldano Cattoni trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Graves
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Mauro Cettolo
- Philipp Koehn
- Sepp Hochreiter
- Ilya Sutskever
- J. Urgen Schmidhuber
- Alex Krizhevsky
Who trusts Roldano Cattoni overall
- Changhan Wang
- Juan Pino
- Yun Tang
- Xutai Ma
- Mattia Antonino Di Gangi
- Anne Wu
- Rong Ye
- Parnia Bahar
- Matteo Negri
- Paul-Ambroise Duquenne
Papers from Roldano Cattoni's perspective
Ordered by how strongly the researchers Roldano Cattoni trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- MuST-C: a Multilingual Speech Translation Corpus (2019) — 493 citations
- The Multilingual TEDx Corpus for Speech Recognition and Translation (2021) — 154 citations
- MuST-C: A multilingual corpus for end-to-end speech translation (2021) — 186 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
- The IWSLT 2016 Evaluation Campaign (2016) — 98 citations
- The IWSLT 2015 Evaluation Campaign (2015) — 165 citations