Javier Alonso García
Computer Vision and Pattern Recognition · 2019
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 12 citations into it
Whom Javier Alonso García trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Javier Alonso García's perspective
Ordered by how strongly the researchers Javier Alonso García 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: A large-scale hierarchical image database
- Categorical Reparameterization with Gumbel-Softmax
- The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables
- Pattern Recognition and Machine Learning
- Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation
- ImageNet classification with deep convolutional neural networks
- Deep Compression: Compressing Deep Neural Network with Pruning, Trained Quantization and Huffman Coding
- Gradient-based learning applied to document recognition
Their papers
- Mixed Precision DNNs: All you need is a good parametrization (2019) — 165 citations