Matias Quiroz

Artificial Intelligence · 2018

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 — 14 citations into it
• Probabilistic & Bayesian Methods — 10 citations into it
• Optimization & Training — 7 citations into it
• Statistics and Probability — 6 citations into it

Whom Matias Quiroz trusts overall

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

1. Diederik P. Kingma
2. Ronald J. Williams
3. Matthew D. Zeiler
4. Michael I. Jordan
5. Yann LeCun
6. David M. Blei
7. Geoffrey E. Hinton
8. Yarin Gal
9. L. Eon Bottou
10. Yoshua Bengio

Papers from Matias Quiroz's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. ImageNet classification with deep convolutional neural networks
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Variance reduction properties of the reparameterization trick (2018) — 83 citations