Jan Schlüter

Signal Processing · 2019

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 71 citations into it
• Artificial Intelligence — 60 citations into it
• Speech & Audio — 37 citations into it
• Computer Vision and Pattern Recognition — 23 citations into it
• Model Architectures — 13 citations into it

Whom Jan Schlüter trusts overall

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

1. Geoffrey E. Hinton
2. Alex Graves
3. Alex Krizhevsky
4. Yoshua Bengio
5. Navdeep Jaitly
6. Ilya Sutskever
7. Diederik P. Kingma
8. Yann LeCun
9. Tara N. Sainath
10. J. Urgen Schmidhuber

Papers from Jan Schlüter's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Long Short-Term Memory
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. GENERATIVE ADVERSARIAL NETS
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Deep Learning for Audio Signal Processing (2019) — 736 citations