Nicolas Zucchet

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it
• Computer Vision and Pattern Recognition — 26 citations into it
• Optimization & Training — 17 citations into it
• Meta & Continual Learning — 14 citations into it
• Representation & Self-Supervised Learning — 13 citations into it

Whom Nicolas Zucchet trusts overall

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

1. Alex Krizhevsky

Papers from Nicolas Zucchet's perspective

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

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

Their papers

• Learning where to learn: Gradient sparsity in meta and continual learning (2021) — 60 citations