Marco Roberti
Artificial Intelligence · 2019–2021
A researcher in the Science corpus: 2 papers; trusts 40 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 71 citations into it
- Natural Language Processing — 63 citations into it
- Computer Vision and Pattern Recognition — 24 citations into it
- Model Architectures — 10 citations into it
Whom Marco Roberti trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Yoshua Bengio
- Oriol Vinyals
- Ronald J. Williams
- Geoffrey E. Hinton
- Dzmitry Bahdanau
- Ilya Sutskever
- Kyunghyun Cho
- Jimmy Ba
- Tomas Mikolov
Who trusts Marco Roberti overall
Papers from Marco Roberti's perspective
Ordered by how strongly the researchers Marco Roberti 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- 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)
Their papers
- Controlling hallucinations at word level in data-to-text generation (2021) — 76 citations
- Copy mechanism and tailored training for character-based data-to-text generation (2019) — 13 citations