Timo Speith
Artificial Intelligence · 2021–2022
A researcher in the Science corpus: 2 papers; trusts 45 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 90 citations into it
- Safety, Robustness & Interpretability — 53 citations into it
- Safety Research — 30 citations into it
- Health Informatics — 19 citations into it
- Computer Vision and Pattern Recognition — 15 citations into it
- Information Systems — 14 citations into it
- AI Ethics, Fairness & Society — 13 citations into it
- Information Systems and Management — 13 citations into it
Whom Timo Speith trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Cynthia Rudin
- Scott M. Lundberg
- Vaishak Belle
- Been Kim
- Avanti Shrikumar
- Tim Miller
- Sebastian Bach
- Markus Langer
- Su-In Lee
- Jenna Burrell
Who trusts Timo Speith overall
Papers from Timo Speith's perspective
Ordered by how strongly the researchers Timo Speith 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
- ImageNet Large Scale Visual Recognition Challenge
- 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)