Giovanni Bellitto

Artificial Intelligence · 2022

A researcher in the Science corpus: 2 papers; trusts 68 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 78 citations into it
• Computer Vision and Pattern Recognition — 65 citations into it
• Meta & Continual Learning — 40 citations into it
• Representation & Self-Supervised Learning — 34 citations into it
• Model Architectures — 9 citations into it
• Reinforcement Learning — 9 citations into it

Whom Giovanni Bellitto trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Arslan Chaudhry
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yoshua Bengio
6. Marc'Aurelio Ranzato
7. Yann LeCun
8. Diederik P. Kingma
9. Karen Simonyan
10. Ilya Sutskever

Who trusts Giovanni Bellitto overall

1. Lorenzo Bonicelli
2. Matteo Boschini

Papers from Giovanni Bellitto's perspective

Ordered by how strongly the researchers Giovanni Bellitto trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Transfer without Forgetting (2022) — 74 citations
• Effects of Auxiliary Knowledge on Continual Learning (2022) — 9 citations