Alberto Testolin

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Model Architectures — 7 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it
• Optimization & Training — 6 citations into it
• Signal Processing — 6 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Alberto Testolin trusts overall

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

1. Geoffrey E. Hinton
2. Ilya Sutskever
3. Yoshua Bengio
4. Paul J. Werbos
5. L. V. D. van der Maaten
6. James Martens
7. Alex Krizhevsky
8. Tommi S. Jaakkola
9. Yann LeCun
10. Abdel-rahman Mohamed

Papers from Alberto Testolin's perspective

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

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

Their papers

• Neural Networks for Sequential Data: a Pre-training Approach based on Hidden Markov Models (2015) — 15 citations