Pierre Duthon
Computer Vision and Pattern Recognition · 2018
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 5 citations into it
- Generative Models — 5 citations into it
Whom Pierre Duthon trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Pierre Duthon's perspective
Ordered by how strongly the researchers Pierre Duthon trusts endorse each paper. Same corpus, a different order for every researcher.
- Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
- Conditional Generative Adversarial Nets
- Are GANs Created Equal? A Large-Scale Study
- Dataset Shift in Machine Learning
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Baselines and a datasheet for the Cerema AWP dataset (2018) — 12 citations