Antonio Carta

Artificial Intelligence · 2020–2022

A researcher in the Science corpus: 5 papers; trusts 224 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 139 citations into it
• Computer Vision and Pattern Recognition — 118 citations into it
• Meta & Continual Learning — 60 citations into it
• Representation & Self-Supervised Learning — 35 citations into it
• Model Architectures — 25 citations into it
• Evaluation & Benchmarks — 21 citations into it
• Optimization & Training — 17 citations into it
• Natural Language Processing — 11 citations into it

Whom Antonio Carta trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yoshua Bengio
4. Diederik P. Kingma
5. Yann LeCun
6. Kaiming He
7. Ilya Sutskever
8. Ross B. Girshick
9. Jimmy Ba
10. Ruslan Salakhutdinov

Papers from Antonio Carta's perspective

Ordered by how strongly the researchers Antonio Carta 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. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Avalanche: an End-to-End Library for Continual Learning (2021) — 219 citations
• Continual Learning with Gated Incremental Memories for sequential data processing (2020) — 27 citations
• 3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding (2022) — 7 citations
• Continual Pre-Training Mitigates Forgetting in Language and Vision (2022) — 111 citations
• Practical Recommendations for Replay-based Continual Learning Methods (2022) — 32 citations