Sebastian Höfer
Artificial Intelligence · 2016–2020
A researcher in the Science corpus: 3 papers; trusts 26 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 24 citations into it; #33,195 of 35,345 by trust here, #26,682 by citations
- Representation & Self-Supervised Learning — 23 citations into it
- Computer Vision and Pattern Recognition — 14 citations into it
- Control and Systems Engineering — 13 citations into it; #7,693 of 8,257 by trust here, #5,227 by citations
- Reinforcement Learning — 10 citations into it
- Cognitive Neuroscience — 7 citations into it
- Aerospace Engineering — 6 citations into it
Whom Sebastian Höfer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- R. Caruana
- Alex Krizhevsky
- Tom Michael Mitchell
- Sebastian Thrun
- Yann LeCun
- Laurenz Wiskott
- Sergey Levine
- Rico Jonschkowski
Who trusts Sebastian Höfer overall
Papers from Sebastian Höfer's perspective
Ordered by how strongly the researchers Sebastian Höfer 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
- Et al
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Lessons from the Amazon Picking Challenge: Four Aspects of Building Robotic Systems (2016) — 202 citations
- Contextual Learning (2020) — 69 citations
- Unsupervised Learning of State Representations for Multiple Tasks (2017) — 9 citations