Friedhelm Schwenker
Artificial Intelligence · 1996–2015
A researcher in the Science corpus: 6 papers; trusts 28 researchers and is trusted by 21 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 23 citations into it; #7,395 of 35,345 by trust here, #18,186 by citations
- Evaluation & Benchmarks — 9 citations into it
- Reinforcement Learning — 9 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it; #15,224 of 21,575 by trust here, #21,103 by citations
- Model Architectures — 5 citations into it
Whom Friedhelm Schwenker trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Teuvo Kohonen
- Sally A. Goldman
- Kamal Nigam
- Yan Zhou
- Zhi-Hua Zhou
- J. Ross Quinlan
- Yoav Freund
- Leo Breiman
- Tomaso A. Poggio
- Ming Li
Who trusts Friedhelm Schwenker overall
- Andreas Knoblauch
- Laura Palagi
- Stefan Faußer
- Rishabh Agarwal
- Isaac Triguero
- Linyang Zhu
- Stefan Elfwing
- Günther Palm
- Salvador Garcia
- Xin He
Papers from Friedhelm Schwenker's perspective
Ordered by how strongly the researchers Friedhelm Schwenker 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)
- Gradient-based learning applied to document recognition
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Reinforcement Learning: An Introduction
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Neural Network Ensembles in Reinforcement Learning (2015) — 59 citations
- A Study of the Robustness of KNN Classifiers Trained Using Soft Labels (2006) — 89 citations
- Combining Committee-Based Semi-Supervised Learning and Active Learning (2010) — 68 citations
- Co-training by Committee: A New Semi-supervised Learning Framework (2008) — 52 citations
- Three learning phases for radial-basis-function networks (2001) — 518 citations
- Iterative retrieval of sparsely coded associative memory patterns (1996)