Stefan Westberg
Artificial Intelligence · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 182 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 238 citations into it
- Computer Vision and Pattern Recognition — 230 citations into it
- Model Architectures — 88 citations into it
- Optimization & Training — 39 citations into it
- Representation & Self-Supervised Learning — 31 citations into it
- Probabilistic & Bayesian Methods — 13 citations into it
- Control and Systems Engineering — 8 citations into it
Whom Stefan Westberg trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Kaiming He
- Ilya Sutskever
- Yann LeCun
- Diederik P. Kingma
- Alex Graves
- Christian Szegedy
- J. Urgen Schmidhuber
Who trusts Stefan Westberg overall
Papers from Stefan Westberg's perspective
Ordered by how strongly the researchers Stefan Westberg 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)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- A State-of-the-Art Survey on Deep Learning Theory and Architectures (2019) — 1,450 citations
- The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches (2018) — 1,014 citations