Steven Stenberg Hansen
Artificial Intelligence · 2018–2019
A researcher in the Science corpus: 3 papers; trusts 30 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 65 citations into it; #26,739 of 35,345 by trust here, #16,771 by citations
- Reinforcement Learning — 63 citations into it
- Computer Vision and Pattern Recognition — 24 citations into it
- Management Science and Operations Research — 7 citations into it
Whom Steven Stenberg Hansen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard S. Sutton
- Volodymyr Mnih
- Geoffrey E. Hinton
- R´emi Munos
- Andrew Barto
- Peter S. Dayan
- Marc G. Bellemare
- Alex Graves
- David Silver
- Christopher J. C. H. Watkins
Who trusts Steven Stenberg Hansen overall
Papers from Steven Stenberg Hansen's perspective
Ordered by how strongly the researchers Steven Stenberg Hansen 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
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- GENERATIVE ADVERSARIAL NETS
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Unsupervised Control Through Non-Parametric Discriminative Rewards (2018) — 193 citations
- Fast deep reinforcement learning using online adjustments from the past (2018) — 47 citations
- Generalization of Reinforcement Learners with Working and Episodic Memory (2019) — 74 citations