Martin Strobel
Artificial Intelligence · with Shokri · 2019–2023
A researcher in the Science corpus: 3 papers; trusts 131 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 98 citations into it
- Safety, Robustness & Interpretability — 71 citations into it
- Computer Vision and Pattern Recognition — 34 citations into it
- Natural Language Processing — 13 citations into it
- Privacy & Security — 9 citations into it
- Biophysics — 8 citations into it
- Model Architectures — 6 citations into it
- Representation & Self-Supervised Learning — 6 citations into it
Whom Martin Strobel trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Matthew D. Zeiler
- Marco Ancona
- Christian Szegedy
- Avanti Shrikumar
- Karen Simonyan
- Reza Shokri
- Ilya Sutskever
- Yoshua Bengio
Papers from Martin Strobel's perspective
Ordered by how strongly the researchers Martin Strobel 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- On The Impact of Machine Learning Randomness on Group Fairness (2023) — 43 citations
- On the Privacy Risks of Model Explanations (2019) — 161 citations
- Privacy Risks of Explaining Machine Learning Models (2019) — 42 citations