Olga Wichrowska

Artificial Intelligence · 2017

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

Subfields

• Artificial Intelligence — 15 citations into it; #33,687 of 35,345 by trust here, #14,438 by citations
• Model Architectures — 7 citations into it

Whom Olga Wichrowska trusts overall

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

1. Diederik P. Kingma
2. Yoshua Bengio
3. Kaiming He
4. Geoffrey E. Hinton
5. Christian Szegedy
6. Kyunghyun Cho
7. Samy Bengio
8. Alex Krizhevsky
9. Jimmy Ba
10. J. Urgen Schmidhuber

Who trusts Olga Wichrowska overall

1. Luke Metz
2. Liyang Jiang
3. Eunbyung Park
4. Zhongwen Xu
5. Barret Zoph
6. Timothy M. Hospedales
7. Irwan Bello
8. Krzysztof Maziarz
9. Catherine Wong
10. Diogo Almeida

Papers from Olga Wichrowska's perspective

Ordered by how strongly the researchers Olga Wichrowska 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
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

• Learned Optimizers that Scale and Generalize (2017) — 308 citations