Lea Schönherr

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 42 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it
• Computer Vision and Pattern Recognition — 39 citations into it; #20,227 of 21,575 by trust here, #14,151 by citations

Whom Lea Schönherr trusts overall

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

1. Geoffrey E. Hinton
2. Nicholas Carlini
3. Yoshua Bengio
4. Diederik P. Kingma
5. Alex Krizhevsky
6. Gonzalo Navarro
7. Nicolas Papernot
8. Yann LeCun
9. Ian J. Goodfellow
10. Oriol Vinyals

Who trusts Lea Schönherr overall

1. Hany Farid

Papers from Lea Schönherr's perspective

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

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

Their papers

• Leveraging Frequency Analysis for Deep Fake Image Recognition (2020) — 943 citations
• Adversarial Attacks Against Automatic Speech Recognition Systems via Psychoacoustic Hiding (2018) — 322 citations