Antonio Miguel

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 31 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 — 17 citations into it
• Generative Models — 15 citations into it
• Representation & Self-Supervised Learning — 10 citations into it

Whom Antonio Miguel trusts overall

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

1. Diederik P. Kingma
2. Danilo Jimenez Rezende
3. Sergey Ioffe
4. Emilien Dupont
5. Max Welling
6. Geoffrey E. Hinton
7. Yoshua Bengio
8. Shakir Mohamed
9. Mehdi Mirza
10. Christian Szegedy

Papers from Antonio Miguel's perspective

Ordered by how strongly the researchers Antonio Miguel 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. Attention is All you Need (Neural Information Processing Systems)
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers

• Disentangling and Learning Robust Representations with Natural Clustering (2019) — 19 citations