Javier Gonzalvo
Artificial Intelligence · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 16 citations into it
- Computer Vision and Pattern Recognition — 12 citations into it
- Optimization & Training — 9 citations into it
- Model Architectures — 7 citations into it
Whom Javier Gonzalvo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Javier Gonzalvo's perspective
Ordered by how strongly the researchers Javier Gonzalvo trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet classification with deep convolutional neural networks
- Going deeper with convolutions
- Distilling the Knowledge in a Neural Network (arXiv.org)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
Their papers
- Improving Neural Architecture Search Image Classifiers via Ensemble Learning (2019) — 18 citations
- The Compact Linear e$^+$e$^-$ Collider (CLIC): Physics Potential. (2018) — 193 citations