Philip Widegren

Optimization & Training · 2017

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 7 citations into it
• Economics and Econometrics — 5 citations into it

Whom Philip Widegren trusts overall

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

1. B. Malkiel
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Yurii E. Nesterov
5. Leo Breiman
6. Yann LeCun
7. Alex Graves
8. Boris Polyak
9. Andrew L. Maas
10. Kurt Hornik

Who trusts Philip Widegren overall

1. Omer Berat Sezer
2. M. Ugur Gudelek
3. A. Ozbayoglu

Papers from Philip Widegren's perspective

Ordered by how strongly the researchers Philip Widegren 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. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Deep learning-based forecasting of financial assets (2017) — 5 citations