Federico Carnevale
Artificial Intelligence · 2018–2022
A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 84 citations into it
- Computer Vision and Pattern Recognition — 57 citations into it
Whom Federico Carnevale trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Kaiming He
- Yoshua Bengio
- Alex Krizhevsky
- Ilya Sutskever
- Oriol Vinyals
- Alex Graves
- Aäron van den Oord
- Yann LeCun
Papers from Federico Carnevale's perspective
Ordered by how strongly the researchers Federico Carnevale 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)
- 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
- GENERATIVE ADVERSARIAL NETS
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Imitating Interactive Intelligence (2020) — 74 citations
- Optimizing agent behavior over long time scales by transporting value (2018) — 139 citations
- Intra-agent speech permits zero-shot task acquisition (2022) — 10 citations