Jonathan Wenger

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 50 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 36 citations into it; #27,806 of 35,345 by trust here, #33,294 by citations
• Computer Vision and Pattern Recognition — 20 citations into it
• Probabilistic & Bayesian Methods — 11 citations into it
• Safety, Robustness & Interpretability — 8 citations into it
• Optimization & Training — 7 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Jonathan Wenger trusts overall

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

1. Alex Krizhevsky
2. Bianca Zadrozny
3. Geoffrey E. Hinton
4. Christian Szegedy
5. Yoav Freund
6. Ilya Sutskever
7. Yann LeCun
8. David John Cameron MacKay
9. Trevor J. Hastie
10. Yoshua Bengio

Who trusts Jonathan Wenger overall

1. Agustinus Kristiadi
2. Jakob Gawlikowski
3. Matthias Hein

Papers from Jonathan Wenger's perspective

Ordered by how strongly the researchers Jonathan Wenger 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Learning Multiple Layers of Features from Tiny Images
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Non-Parametric Calibration for Classification (2019) — 95 citations