Micha Elsner
Artificial Intelligence · 2015–2019
A researcher in the Science corpus: 2 papers; trusts 51 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 41 citations into it; #13,595 of 35,345 by trust here, #17,110 by citations
- Speech & Audio — 23 citations into it
- Signal Processing — 22 citations into it; #2,721 of 7,572 by trust here, #2,816 by citations
- Experimental and Cognitive Psychology — 10 citations into it
- Model Architectures — 7 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
- Optimization & Training — 5 citations into it
Whom Micha Elsner trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Aren Jansen
- Diederik P. Kingma
- Herman Kamper
- Geoffrey E. Hinton
- Jimmy Ba
- Alex Krizhevsky
- Ronald J. Williams
- Yann LeCun
- Dong Yu
Who trusts Micha Elsner overall
- Herman Kamper
- Karen Livescu
- Shane Settle
- Aren Jansen
- Roland Thiollière
- Emmanuel Azuh
- Weiran Wang
- Wanjia He
- Maarten Versteegh
- Bin Wu
Papers from Micha Elsner's perspective
Ordered by how strongly the researchers Micha Elsner trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- 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)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)