Andreas Krug

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Natural Language Processing — 6 citations into it

Whom Andreas Krug trusts overall

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

1. Alex Graves
2. Andrew L. Maas

Papers from Andreas Krug's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Understanding the difficulty of training deep feedforward neural networks
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Rectifier Nonlinearities Improve Neural Network Acoustic Models
6. Gradient-based learning applied to document recognition
7. Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
8. Librispeech: An ASR corpus based on public domain audio books
9. Long Short-Term Memory
10. Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin

Their papers

• Transfer Learning for Speech Recognition on a Budget (2017) — 147 citations