Giuseppe Canonaco

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Optimization & Training — 16 citations into it
• Reinforcement Learning — 12 citations into it
• Computational Mechanics — 8 citations into it

Whom Giuseppe Canonaco trusts overall

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

1. Richard S. Sutton
2. Aaron Defazio
3. Julien Mairal
4. Yurii E. Nesterov
5. Jan Peters
6. Sashank J. Reddi
7. Andrew Barto
8. Francis R. Bach
9. Geoffrey E. Hinton
10. Ronald J. Williams

Papers from Giuseppe Canonaco's perspective

Ordered by how strongly the researchers Giuseppe Canonaco 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. Reinforcement Learning: An Introduction
6. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• Stochastic Variance-Reduced Policy Gradient (2018) — 213 citations