Jacopo Staiano
Artificial Intelligence · 2014–2021
A researcher in the Science corpus: 11 papers; trusts 502 researchers and is trusted by 18 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 306 citations into it; #10,864 of 35,345 by trust here, #7,858 by citations
- Natural Language Processing — 273 citations into it; #2,060 of 5,688 by trust here, #1,704 by citations
- Computer Vision and Pattern Recognition — 127 citations into it
- Evaluation & Benchmarks — 121 citations into it
- Large Language Models — 42 citations into it
- Sociology and Political Science — 28 citations into it
- Information Systems — 26 citations into it
- Model Architectures — 25 citations into it
Whom Jacopo Staiano trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Ilya Sutskever
- Ronald J. Williams
- Yoshua Bengio
- Diederik P. Kingma
- Alex Krizhevsky
- Chin-Yew Lin
- Kaiming He
- Oriol Vinyals
- Richard Socher
Who trusts Jacopo Staiano overall
Papers from Jacopo Staiano's perspective
Ordered by how strongly the researchers Jacopo Staiano trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- 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)
Their papers
- MLSUM: The Multilingual Summarization Corpus (2020) — 213 citations
- Answers Unite! Unsupervised Metrics for Reinforced Summarization Models (2019) — 162 citations
- ColdGANs: Taming Language GANs with Cautious Sampling Strategies (2020) — 18 citations
- QuestEval: Summarization Asks for Fact-based Evaluation (2021) — 371 citations
- What BERT Sees: Cross-Modal Transfer for Visual Question Generation (2020) — 14 citations
- Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering (2020) — 62 citations
- Data-QuestEval: A Referenceless Metric for Data-to-Text Semantic Evaluation (2021) — 38 citations
- Once Upon a Crime: Towards Crime Prediction from Demographics and Mobile Data (2014) — 319 citations
- SAFEval: Summarization Asks for Fact-based Evaluation (2021) — 5 citations
- Discriminative Adversarial Search for Abstractive Summarization (2020) — 37 citations
- The Tyranny of Data? The Bright and Dark Sides of Data-Driven Decision-Making for Social Good (2016) — 99 citations