Andrea Torsello

Artificial Intelligence · 2015–2022

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 41 citations into it
• Computer Vision and Pattern Recognition — 39 citations into it
• Model Architectures — 13 citations into it
• Representation & Self-Supervised Learning — 11 citations into it

Whom Andrea Torsello trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Kaiming He
4. Alex Krizhevsky
5. Andrew L. Maas
6. Razvan Pascanu
7. Vinod Nair
8. Yann LeCun
9. Diederik P. Kingma
10. Rahaf Aljundi

Papers from Andrea Torsello's perspective

Ordered by how strongly the researchers Andrea Torsello 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight Regularization (2022) — 42 citations
• Transitive Assignment Kernels for Structural Classification (2015) — 14 citations