Wendelin Boehmer

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Reinforcement Learning — 18 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Wendelin Boehmer trusts overall

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

1. Alex Krizhevsky
2. Richard S. Sutton
3. Geoffrey E. Hinton
4. Kaiming He
5. Martin L. Puterman

Papers from Wendelin Boehmer's perspective

Ordered by how strongly the researchers Wendelin Boehmer 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. Learning Multiple Layers of Features from Tiny Images
3. ImageNet classification with deep convolutional neural networks
4. Distilling the Knowledge in a Neural Network (arXiv.org)
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Reinforcement Learning: An Introduction
9. Long Short-Term Memory
10. ImageNet: A large-scale hierarchical image database

Their papers

• Transient Non-stationarity and Generalisation in Deep Reinforcement Learning (2020) — 106 citations