Konstantin Eckle

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #17,857 of 35,345 by trust here, #32,362 by citations

Whom Konstantin Eckle trusts overall

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

1. Jerome H. Friedman
2. Budiman Minasny
3. Johannes Schmidt-Hieber
4. Xavier Glorot
5. Yoshua Bengio
6. Deanna Needell
7. Dmitry Yarotsky
8. Yann LeCun
9. Shiyu Liang
10. Matus Telgarsky

Who trusts Konstantin Eckle overall

1. Johannes Schmidt-Hieber
2. Shiv Ram Dubey
3. Satish Kumar Singh
4. Bidyut Baran Chaudhuri

Papers from Konstantin Eckle's perspective

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

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

Their papers

• A comparison of deep networks with ReLU activation function and linear spline-type methods (2018) — 370 citations