Franziska Boenisch
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 25 citations into it; #15,973 of 35,345 by trust here, #32,362 by citations
- Computer Vision and Pattern Recognition — 12 citations into it
- Safety, Robustness & Interpretability — 10 citations into it; #1,051 of 2,251 by trust here, #2,205 by citations
- Signal Processing — 8 citations into it; #3,180 of 7,572 by trust here, #6,836 by citations
- Efficiency & Compression — 6 citations into it
Whom Franziska Boenisch trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Manish Kesarwani
- Matthew Jagielski
- Nicolas Papernot
- Alex Krizhevsky
- Yunhui Guo
- Yoshua Bengio
- Yann LeCun
- Nicholas Carlini
- Ruslan Salakhutdinov
Who trusts Franziska Boenisch overall
Papers from Franziska Boenisch's perspective
Ordered by how strongly the researchers Franziska Boenisch trusts endorse each paper. Same corpus, a different order for every researcher.
- 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Distilling the Knowledge in a Neural Network (arXiv.org)
Their papers
- A Systematic Review on Model Watermarking for Neural Networks (2020) — 112 citations