Florian Scheidegger
Computer Vision and Pattern Recognition · 2018
A researcher in the Science corpus: 3 papers; trusts 154 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 64 citations into it
- Artificial Intelligence — 49 citations into it
- Model Architectures — 16 citations into it
- Optimization & Training — 14 citations into it
- Representation & Self-Supervised Learning — 7 citations into it
Whom Florian Scheidegger trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Kaiming He
- Geoffrey E. Hinton
- Karen Simonyan
- Yoshua Bengio
- Yann LeCun
- X. Zhang
- Andrew Zisserman
- Diederik P. Kingma
- Ilya Sutskever
Who trusts Florian Scheidegger overall
Papers from Florian Scheidegger's perspective
Ordered by how strongly the researchers Florian Scheidegger 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- Learning Multiple Layers of Features from Tiny Images
Their papers
- BAGAN: Data Augmentation with Balancing GAN (2018) — 357 citations
- TAPAS: Train-less Accuracy Predictor for Architecture Search (2018) — 78 citations
- Efficient image dataset classification difficulty estimation for predicting deep-learning accuracy (2018) — 53 citations