Peter Schlicht

Optimization & Training · 2018

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

Subfields

• Optimization & Training — 14 citations into it

Whom Peter Schlicht trusts

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

1. L. Eon Bottou (in Optimization & Training)

Papers from Peter Schlicht's perspective

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

1. The mnist database of handwritten digits
2. Stochastic Gradient Learning in Neural Networks
3. Optimal Distributed Online Prediction Using Mini-Batches
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Efficient Decentralized Deep Learning by Dynamic Model Averaging (2018) — 131 citations