Morten Kolbaek
Signal Processing · 2017
A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Signal Processing — 26 citations into it; #1,333 of 7,572 by trust here, #1,709 by citations
- Artificial Intelligence — 17 citations into it; #8,641 of 35,345 by trust here, #12,244 by citations
- Computational Mechanics — 7 citations into it
Whom Morten Kolbaek trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Dong Yu
- Michael I. Jordanzoubin
- Zhuo Chen
- Yuxuan Wang
- Sepp Hochreiter
- Geoffrey E. Hinton
- John R. Hershey
- Yarin Gal
- Mikkel N. Schmidt
- Yoshua Bengio
Who trusts Morten Kolbaek overall
- Yi Luo
- Zhuo Chen
- Jonathan Le Roux
- Nima Mesgarani
- Takuya Yoshioka
- Sanyuan Chen
- Jing Shi
- Zhong-Qiu Wang
- Yuzhou Liu
- Hakan Erdogan
Papers from Morten Kolbaek's perspective
Ordered by how strongly the researchers Morten Kolbaek trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)