Thomas Baumhauer

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it; #23,799 of 35,345 by trust here, #25,809 by citations
• Safety, Robustness & Interpretability — 10 citations into it
• Privacy & Security — 9 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it

Whom Thomas Baumhauer trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alex Krizhevsky
2. Kaiming He
3. Yann LeCun
4. Pang Wei Koh
5. Geoffrey E. Hinton
6. Yoshua Bengio
7. Yinzhi Cao
8. Aditya Golatkar
9. L. Eon Bottou
10. Arthur Jacot

Who trusts Thomas Baumhauer overall

1. Aditya Golatkar
2. Alessandro Achille
3. David Marco Sommer
4. Jonathan Brophy
5. Stefano Soatto
6. Liwei Song

Papers from Thomas Baumhauer's perspective

Ordered by how strongly the researchers Thomas Baumhauer trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Learning Multiple Layers of Features from Tiny Images
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Machine unlearning: linear filtration for logit-based classifiers (2020) — 171 citations