Michael Hüsken
Model Architectures · 2000–2003
A researcher in the Science corpus: 5 papers; trusts 11 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Model Architectures — 5 citations into it
Whom Michael Hüsken trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Christian Igel
- Martin A. Riedmiller
- Xin Yao
- Russell Reed
- Robert A. Jacobs
- Scott E. Fahlman
- Jonathan Richard Shewchuk
- Isaac E. Lagaris
- David E. Rumelhart
- Jeffrey L. Elman
Who trusts Michael Hüsken overall
- Chelsea Finn
- J. Urgen Schmidhuber
- Martin Längkvist
- Youngseon Jeong
- Sergey Levine
- Christian Igel
- Chrisantha Fernando
- Rico Jonschkowski
- Yaochu Jin
- Gergely Neu
Papers from Michael Hüsken's perspective
Ordered by how strongly the researchers Michael Hüsken trusts endorse each paper. Same corpus, a different order for every researcher.
- Learning internal representations by error propagation
- ImageNet classification with deep convolutional neural networks
- Multitask Learning
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Fast learning for problem classes using knowledge based network initialization (2000) — 24 citations
- Optimization for problem classes-neural networks that learn to learn (2000) — 33 citations
- Empirical evaluation of the improved Rprop learning algorithms (2003) — 474 citations
- Recurrent neural networks for time series classification (2003) — 342 citations
- Improving the Rprop Learning Algorithm (2000) — 380 citations