Frederik Trauble
Artificial Intelligence · 2020
A researcher in the Science corpus: 3 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 83 citations into it
- Computer Vision and Pattern Recognition — 45 citations into it
- Representation & Self-Supervised Learning — 45 citations into it
Whom Frederik Trauble trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Francesco Locatello
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Yann LeCun
- Bernhard Schölkopf
- Irina Higgins
- Aapo Hyvärinen
- Ilya Sutskever
Who trusts Frederik Trauble overall
Papers from Frederik Trauble's perspective
Ordered by how strongly the researchers Frederik Trauble 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)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
Their papers
- CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning (2020) — 149 citations
- On the Transfer of Disentangled Representations in Realistic Settings (2020) — 89 citations
- Is Independence all you need? On the Generalization of Representations Learned from Correlated Data (2020) — 19 citations