Stefan Kramer
Artificial Intelligence · 2000–2007
A researcher in the Science corpus: 5 papers; trusts 39 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 22 citations into it; #18,807 of 35,345 by trust here, #24,417 by citations
- Statistical Learning Theory — 17 citations into it
- Statistics and Probability — 10 citations into it
- Algorithms & Complexity — 9 citations into it
- Information Systems — 9 citations into it; #5,885 of 8,771 by trust here, #6,770 by citations
- Computational Theory and Mathematics — 8 citations into it
- Optimization & Training — 7 citations into it
- Evaluation & Benchmarks — 5 citations into it
Whom Stefan Kramer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jerome H. Friedman
- William W. Cohen
- J. Ross Quinlan
- Robert E. Schapire
- Yoav Freund
- Vladimir Naumovich Vapni
- Thorsten Joachims
- David A. McAllester
- Vladimir Koltchinskii
- Simon S. Haykin
Who trusts Stefan Kramer overall
Papers from Stefan Kramer's perspective
Ordered by how strongly the researchers Stefan Kramer trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- The Nature of Statistical Learning Theory
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- The Predictive Toxicology Challenge 2000-2001 (2001) — 270 citations
- Statistical Evaluation of the Predictive Toxicology Challenge 2000-2001 (2003) — 221 citations
- Margin-based first-order rule learning (2007) — 29 citations
- A statistical approach to rule learning (2006) — 29 citations
- Interpreting Bayesian Logic Programs (2000) — 54 citations