S. Kassing

Computer Vision and Pattern Recognition · 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

• Computer Vision and Pattern Recognition — 8 citations into it

Whom S. Kassing trusts overall

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

1. Alex Krizhevsky

Papers from S. Kassing's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Learning Multiple Layers of Features from Tiny Images
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
8. Long Short-Term Memory
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

• Distributed Learning over Unreliable Networks (2018) — 67 citations