Gabriele Merlin

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Computer Vision and Pattern Recognition — 17 citations into it
• Meta & Continual Learning — 14 citations into it
• Evaluation & Benchmarks — 5 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Gabriele Merlin trusts overall

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

1. Alex Krizhevsky
2. Vincenzo Lomonaco
3. Kaiming He
4. Li Deng
5. Anthony V. Robins
6. Roger Ratcliff
7. Geoffrey E. Hinton
8. Pietro Buzzega
9. Yoshua Bengio
10. Yann LeCun

Papers from Gabriele Merlin's perspective

Ordered by how strongly the researchers Gabriele Merlin 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Learning Multiple Layers of Features from Tiny Images
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
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

• Practical Recommendations for Replay-based Continual Learning Methods (2022) — 32 citations