Carsten Baum
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 15 citations into it; #26,830 of 35,345 by trust here, #15,866 by citations
- Computer Vision and Pattern Recognition — 14 citations into it; #16,433 of 21,575 by trust here, #10,677 by citations
- Model Architectures — 7 citations into it
Whom Carsten Baum trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Kaiming He
- X. Zhang
- Geoffrey E. Hinton
- Shaoqing Ren
- Christian Szegedy
- Adam Coates
- Yoshua Bengio
- Karen Simonyan
- Ross B. Girshick
Who trusts Carsten Baum overall
- Huili Chen
- Bita Darvish Rouhani
- Abhishek Chakraborty
- Erwan Le Merrer
- Mingfu Xue
- Sebastian Szyller
- Lixu Wang
- Alexandre Sablayrolles
- David Marco Sommer
Papers from Carsten Baum's perspective
Ordered by how strongly the researchers Carsten Baum trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
Their papers
- Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring (2018) — 872 citations