Alexander Schlaefer
Artificial Intelligence · 2015–2019
A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 12 citations into it
- Computer Vision and Pattern Recognition — 8 citations into it
Whom Alexander Schlaefer trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Quoc V. Le (in Computer Vision and Pattern Recognition)
- Graham W. Taylor (in Computer Vision and Pattern Recognition)
- Mingxing Tan (in Computer Vision and Pattern Recognition)
- Kaiming He (in Computer Vision and Pattern Recognition)
- Terrance Devries (in Computer Vision and Pattern Recognition)
Papers from Alexander Schlaefer's perspective
Ordered by how strongly the researchers Alexander Schlaefer trusts endorse each paper. Same corpus, a different order for every researcher.
- Rethinking the Inception Architecture for Computer Vision
- Exploring the Limits of Weakly Supervised Pretraining
- Improved Regularization of Convolutional Neural Networks with Cutout
- AutoAugment: Learning Augmentation Policies from Data
- EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory