Fabio Massimo Zanzotto
Artificial Intelligence · 2010–2020
A researcher in the Science corpus: 7 papers; trusts 173 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 133 citations into it
- Natural Language Processing — 125 citations into it; #1,785 of 5,688 by trust here, #1,939 by citations
- Representation & Self-Supervised Learning — 32 citations into it; #1,927 of 3,145 by trust here, #2,355 by citations
- Computer Vision and Pattern Recognition — 23 citations into it
- Evaluation & Benchmarks — 18 citations into it
- Model Architectures — 13 citations into it
- Molecular Biology — 11 citations into it
- Computational Theory and Mathematics — 10 citations into it
Whom Fabio Massimo Zanzotto trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Richard Socher
- Geoffrey E. Hinton
- Christopher D. Manning
- Ilya Sutskever
- Yann LeCun
- Diederik P. Kingma
- Alex Krizhevsky
- Tomas Mikolov
- J. Urgen Schmidhuber
Who trusts Fabio Massimo Zanzotto overall
- Richard Socher
- K. Erk
- Quoc V. Le
- Edward Grefenstette
- Karl Moritz Hermann
- Angeliki Lazaridou
- Thang M. Pham
- Christopher D. Manning
- Tomas Mikolov
- Alessandro Lenci
Papers from Fabio Massimo Zanzotto's perspective
Ordered by how strongly the researchers Fabio Massimo Zanzotto trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Have You Lost the Thread? Discovering Ongoing Conversations in Scattered Dialog Blocks (2017) — 3 citations
- Human-in-the-loop Artificial Intelligence (2017) — 336 citations
- KERMIT: Complementing Transformer Architectures with Encoders of Explicit Syntactic Interpretations (2020) — 60 citations
- Synthesis Lectures on Human Language Technologies (2013) — 863 citations
- Book Reviews: Recognizing Textual Entailment: Models and Applications by Ido Dagan, Dan Roth, Mark Sammons and Fabio Massimo Zanzotto (2013) — 126 citations
- Syntactic/Semantic Structures for Textual Entailment Recognition (2010) — 37 citations
- Estimating Linear Models for Compositional Distributional Semantics (2010) — 156 citations