Tammo Krueger
Artificial Intelligence · 2010–2013
A researcher in the Science corpus: 3 papers; trusts 27 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 21 citations into it; #16,804 of 35,345 by trust here, #22,463 by citations
- Statistics and Probability — 9 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it; #18,050 of 21,575 by trust here, #17,258 by citations
- Signal Processing — 6 citations into it
- Optimization & Training — 5 citations into it
Whom Tammo Krueger trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mauro Birattari
- Yoshua Bengio
- M. Stone
- S. Geisser
- Bernhard Schölkopf
- David L. Donoho
- Volodymyr Mnih
- James Bergstra
- Ron Kohavi
- Sylvain Arlot
Who trusts Tammo Krueger overall
- Lisha Li
- Nedim Srndic
- Pavel Laskov
- Kevin G. Jamieson
- Grgoire Montavon
- Liam Li
- Afshin Rostamizadeh
- Giulia DeSalvo
- Aaron Klein
- Konrad Rieck
Papers from Tammo Krueger's perspective
Ordered by how strongly the researchers Tammo Krueger 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
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Fast cross-validation via sequential testing (2012) — 55 citations
- Analyzing Local Structure in Kernel-Based Learning: Explanation, Complexity, and Reliability Assessment (2013) — 41 citations
- Forschungsberichte der Fakultät IV – Elektrotechnik und Informatik C UJO : Efficient Detection and Prevention of Drive-by-Download Attacks (2010)