Loïc Simon
Generative Models · 2019
A researcher in the Science corpus: 2 papers; trusts 212 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Generative Models — 47 citations into it; #1,427 of 1,956 by trust here, #1,681 by citations
- Computer Vision and Pattern Recognition — 45 citations into it; #15,068 of 21,575 by trust here, #16,787 by citations
- Artificial Intelligence — 21 citations into it; #24,356 of 35,345 by trust here, #25,809 by citations
- Evaluation & Benchmarks — 8 citations into it; #2,180 of 3,147 by trust here, #2,743 by citations
Whom Loïc Simon trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Christian Szegedy
- Alex Krizhevsky
- Yoshua Bengio
- Karen Simonyan
- Kaiming He
- Yann LeCun
- Tim Salimans
- Ilya Sutskever
Who trusts Loïc Simon overall
Papers from Loïc Simon's perspective
Ordered by how strongly the researchers Loïc Simon trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- GENERATIVE ADVERSARIAL NETS
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Detecting Overfitting of Deep Generative Networks via Latent Recovery (2019) — 107 citations
- Revisiting Precision and Recall Definition for Generative Model Evaluation (2019) — 20 citations