Ludwig Schubert

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 7 papers; trusts 19 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 83 citations into it; #35,127 of 35,345 by trust here, #5,749 by citations
• Computer Vision and Pattern Recognition — 80 citations into it

Whom Ludwig Schubert trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Karen Simonyan
4. Alex Krizhevsky
5. Ilya Sutskever

Who trusts Ludwig Schubert overall

1. Maithra Raghu
2. Wes Gurnee

Papers from Ludwig Schubert's perspective

Ordered by how strongly the researchers Ludwig Schubert 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. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Human-level control through deep reinforcement learning
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• The Building Blocks of Interpretability (2018) — 735 citations
• Multimodal Neurons in Artificial Neural Networks (2021) — 412 citations
• An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents (2018) — 55 citations
• Zoom In: An Introduction to Circuits (2020) — 744 citations
• Thread: Circuits (2020)
• An Overview of Early Vision in InceptionV1 (2020) — 73 citations
• Activation Atlas (2019)