Sara Magliacane

Artificial Intelligence · with Feng · 2021

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 45 citations into it
• Reinforcement Learning — 26 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Probabilistic & Bayesian Methods — 6 citations into it
• Causal Inference & Discovery — 5 citations into it

Whom Sara Magliacane trusts overall

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

1. Richard S. Sutton
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Sergey Levine
5. John Schulman
6. Yoshua Bengio
7. J. Urgen Schmidhuber
8. Sepp Hochreiter
9. Volodymyr Mnih
10. Chelsea Finn

Papers from Sara Magliacane's perspective

Ordered by how strongly the researchers Sara Magliacane 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Reinforcement Learning: An Introduction
8. Asynchronous Methods for Deep Reinforcement Learning
9. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
10. ImageNet: A large-scale hierarchical image database

Their papers

• AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning (2021) — 77 citations