Emanuele Frascaroli

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it
• Computer Vision and Pattern Recognition — 34 citations into it
• Meta & Continual Learning — 25 citations into it

Whom Emanuele Frascaroli trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Arslan Chaudhry
6. Yann LeCun
7. Matteo Boschini
8. Oriol Vinyals
9. Pietro Buzzega
10. Diederik P. Kingma

Papers from Emanuele Frascaroli's perspective

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

Their papers

• CaSpeR: Latent Spectral Regularization for Continual Learning (2023) — 12 citations