Mikkel Schläger

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it; #30,909 of 35,345 by trust here, #33,294 by citations
• Electrical and Electronic Engineering — 10 citations into it; #13,188 of 16,539 by trust here, #15,621 by citations
• Model Architectures — 8 citations into it; #1,621 of 2,278 by trust here, #2,162 by citations

Whom Mikkel Schläger trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kenneth O. Stanley
2. Rasmus Boll Greve
3. Risto Miikkulainen
4. Alex Graves
5. Scott E. Fahlman
6. Sebastian Risi
7. Kai Olav Ellefsen
8. Dario Floreano
9. Emil Juul Jacobsen
10. Greg Wayne

Who trusts Mikkel Schläger overall

1. Mehrdad Farajtabar
2. Dong Yin
3. Shauharda Khadka

Papers from Mikkel Schläger's perspective

Ordered by how strongly the researchers Mikkel Schläger trusts endorse each paper. Same corpus, a different order for every researcher.

1. Neural Turing Machines
2. Gradient-based learning applied to document recognition
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Long Short-Term Memory
6. Evolving Neural Networks through Augmenting Topologies
7. Progressive Neural Networks
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Memory Networks
10. Catastrophic Interference in Connectionist Networks: The Sequential Learning Problem

Their papers

• Continual and One-Shot Learning Through Neural Networks with Dynamic External Memory (2017) — 25 citations
• Continual Learning through Evolvable Neural Turing Machines (2016)