Alberto Olmo Hernandez
Computer Vision and Pattern Recognition · 2020
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 41 citations into it
- Generative Models — 33 citations into it
Whom Alberto Olmo Hernandez trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ian J. Goodfellow
- Individualized Treat
- Navneet Dalal
- Alec Radford
- Geoffrey E. Hinton
- Yoshua Bengio
- Martín Arjovsky
- Alex Krizhevsky
- Diederik P. Kingma
- Soumith Chintala
Papers from Alberto Olmo Hernandez's perspective
Ordered by how strongly the researchers Alberto Olmo Hernandez trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- GENERATIVE ADVERSARIAL NETS
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks