Jonathan Sauder
Computer Vision and Pattern Recognition · 2019
A researcher in the Science corpus: 1 paper; trusts 178 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 28 citations into it
- Computational Mechanics — 19 citations into it
- Geology — 13 citations into it
- Aerospace Engineering — 9 citations into it
- Representation & Self-Supervised Learning — 9 citations into it
- Generative Models — 5 citations into it
Whom Jonathan Sauder trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Charles Ruizhongtai Qi
- Individualized Treat
- L. V. D. van der Maaten
- Alex Krizhevsky
- Yoshua Bengio
- Leonidas J. Guibas
- Kaiming He
- Yann LeCun
- Hao Su
Who trusts Jonathan Sauder overall
Papers from Jonathan Sauder's perspective
Ordered by how strongly the researchers Jonathan Sauder 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Self-Supervised Deep Learning on Point Clouds by Reconstructing Space (2019) — 316 citations