Francesco Tonin
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 — 14 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
- Safety, Robustness & Interpretability — 6 citations into it
- Generative Models — 5 citations into it
Whom Francesco Tonin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Diederik P. Kingma
- Dan Hendrycks
- Geoffrey E. Hinton
- Jimmy Ba
- Yann LeCun
- Yoshua Bengio
- Shiyu Liang
- Han Xiao
- Otto Fabius
Who trusts Francesco Tonin overall
Papers from Francesco Tonin's perspective
Ordered by how strongly the researchers Francesco Tonin trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)