Pablo Montalvo

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it
• Artificial Intelligence — 12 citations into it
• Model Architectures — 10 citations into it
• Safety, Robustness & Interpretability — 8 citations into it

Whom Pablo Montalvo trusts overall

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

1. Alex Krizhevsky
2. Taco Cohen
3. Ian J. Goodfellow
4. Geoffrey E. Hinton
5. Max Welling
6. Risi Kondor
7. Jia Deng
8. Christian Szegedy
9. Seyed-Mohsen Moosavi-Dezfooli
10. Yoshua Bengio

Papers from Pablo Montalvo's perspective

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

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

Their papers

• Robustness of Rotation-Equivariant Networks to Adversarial Perturbations (2018) — 26 citations