Sebastian Ebert
Artificial Intelligence · with Bastings · 2014–2020
A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 20 citations into it
- Natural Language Processing — 17 citations into it
- Economics and Econometrics — 16 citations into it
- General Decision Sciences — 13 citations into it
- Evaluation & Benchmarks — 7 citations into it; #2,902 of 3,147 by trust here, #2,799 by citations
- Safety Research — 7 citations into it
Whom Sebastian Ebert trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Charles N. Noussair
- Diederik P. Kingma
- Alec Go
- S. Laury
- Stefan T. Trautmann
- Louis Eeckhoudt
- Kyle Gorman
- Jimmy Ba
- Martín Arjovsky
- Alexander M. Rush
Who trusts Sebastian Ebert overall
Papers from Sebastian Ebert's perspective
Ordered by how strongly the researchers Sebastian Ebert trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- We Need To Talk About Random Splits (2020) — 113 citations
- Joint measurement of risk aversion, prudence, and temperance (2014) — 133 citations