Paloma de la Puente
Computer Vision and Pattern Recognition · 2018
A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 21 citations into it
- Aerospace Engineering — 15 citations into it
- Artificial Intelligence — 10 citations into it
Whom Paloma de la Puente trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Paloma de la Puente's perspective
Ordered by how strongly the researchers Paloma de la Puente trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Histograms of oriented gradients for human detection
- Dropout: a simple way to prevent neural networks from overfitting
- Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
- Rectified Linear Units Improve Restricted Boltzmann Machines
- Continuous control with deep reinforcement learning (International Conference on Learning Representations)
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition