Stefan Lattner
Computer Vision and Pattern Recognition · 2016
A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 12 citations into it; #17,039 of 21,575 by trust here, #19,310 by citations
- Artificial Intelligence — 9 citations into it
- Generative Models — 7 citations into it; #1,601 of 1,956 by trust here, #1,843 by citations
- Signal Processing — 7 citations into it; #5,870 of 7,572 by trust here, #6,355 by citations
- Model Architectures — 6 citations into it
Whom Stefan Lattner trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Honglak Lee
- Tijmen Tieleman
- Yann LeCun
- Alex Graves
- David Temperley
- Kyunghyun Cho
- J. Urgen Schmidhuber
- Alex Krizhevsky
Who trusts Stefan Lattner overall
Papers from Stefan Lattner's perspective
Ordered by how strongly the researchers Stefan Lattner 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
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)