Patryk Chrabaszcz
Artificial Intelligence · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 34 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 22 citations into it; #5,694 of 35,345 by trust here, #8,439 by citations
- Computer Vision and Pattern Recognition — 10 citations into it; #4,640 of 21,575 by trust here, #8,021 by citations
- Optimization & Training — 6 citations into it
Whom Patryk Chrabaszcz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Sergey Zagoruyko
- Aäron van den Oord
- Dmytro Mishkin
- Geoffrey E. Hinton
- Ilya Sutskever
- Aaron Klein
- Lisha Li
- Yann LeCun
- Yoshua Bengio
Who trusts Patryk Chrabaszcz overall
- Kimin Lee
- Kibok Lee
- Ilya Loshchilov
- Xuanyi Dong
- Dan Hendrycks
- Zheng Xu
- Frank Hutter
- Jang-Hyun Kim
- Honglak Lee
- Yen-Chang Hsu
Papers from Patryk Chrabaszcz's perspective
Ordered by how strongly the researchers Patryk Chrabaszcz trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Learning Multiple Layers of Features from Tiny Images
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Going deeper with convolutions
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)