Francesco Pelosin
Artificial Intelligence · 2022
A researcher in the Science corpus: 2 papers; trusts 344 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 54 citations into it
- Computer Vision and Pattern Recognition — 49 citations into it
- Meta & Continual Learning — 29 citations into it
- Model Architectures — 17 citations into it
- Representation & Self-Supervised Learning — 15 citations into it
- Radiology, Nuclear Medicine and Imaging — 11 citations into it
- Efficiency & Compression — 7 citations into it
- Optimization & Training — 5 citations into it
Whom Francesco Pelosin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Alex Krizhevsky
- Geoffrey E. Hinton
- Arthur Douillard
- Yoshua Bengio
- Rahaf Aljundi
- Yann LeCun
- Diederik P. Kingma
- X. Zhang
- Ross B. Girshick
Who trusts Francesco Pelosin overall
Papers from Francesco Pelosin's perspective
Ordered by how strongly the researchers Francesco Pelosin trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)