Philipp Schmidt
Artificial Intelligence · 2018–2020
A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 32 citations into it
- Management Science and Operations Research — 18 citations into it
- Computer Networks and Communications — 11 citations into it
- Safety, Robustness & Interpretability — 11 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
- Information Systems and Management — 8 citations into it
- Sociology and Political Science — 8 citations into it
Whom Philipp Schmidt trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Fred D. Davis
- David Gefen
- V. Venkatesh
- Matthew D. Zeiler
- Karen Simonyan
- Grgoire Montavon
- Stefan Palan
- Geoffrey E. Hinton
- Rob Fergus
- Alex Krizhevsky
Who trusts Philipp Schmidt overall
Papers from Philipp Schmidt's perspective
Ordered by how strongly the researchers Philipp Schmidt trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Automating Large-Scale Data Quality Verification (2018) — 296 citations
- Transparency and trust in artificial intelligence systems (2020) — 342 citations