Federico Cassano
Artificial Intelligence · 2022–2024
A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 72 citations into it
Whom Federico Cassano trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Toufique Ahmed
- Diederik P. Kingma
- Ashish Vaswani
- Ilya Sutskever
- Alex Krizhevsky
- Frank F. Xu
- Armen Aghajanyan
- Kaiming He
Who trusts Federico Cassano overall
Papers from Federico Cassano's perspective
Ordered by how strongly the researchers Federico Cassano trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
Their papers
- MultiPL-E: A Scalable and Polyglot Approach to Benchmarking Neural Code Generation (2023) — 282 citations
- MultiPL-E: A Scalable and Extensible Approach to Benchmarking Neural Code Generation (2022) — 167 citations
- StarCoder 2 and The Stack v2: The Next Generation (2024) — 698 citations
- Reflexion: language agents with verbal reinforcement learning (2023) — 4,400 citations