Mario Quiles Pérez
Computer Networks and Communications · 2022
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 21 citations into it
- Computer Vision and Pattern Recognition — 11 citations into it
- Evaluation & Benchmarks — 11 citations into it
Whom Mario Quiles Pérez trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Li Deng
- Jure Leskovec
- Wei Shi
- Alec Go
- Alex Krizhevsky
- Kun Yuan
- Yoshua Bengio
- Qing Ling
- Yann LeCun
Papers from Mario Quiles Pérez's perspective
Ordered by how strongly the researchers Mario Quiles Pérez trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Distilling the Knowledge in a Neural Network (arXiv.org)
- ImageNet Large Scale Visual Recognition Challenge