Lars Hiller Eidnes
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 270 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 34 citations into it; #14,093 of 35,345 by trust here, #27,551 by citations
- Computer Vision and Pattern Recognition — 27 citations into it
- Optimization & Training — 17 citations into it; #1,352 of 2,601 by trust here, #2,215 by citations
- Model Architectures — 14 citations into it; #1,030 of 2,278 by trust here, #2,037 by citations
- Representation & Self-Supervised Learning — 13 citations into it
- Cognitive Neuroscience — 10 citations into it
- Electrical and Electronic Engineering — 10 citations into it
Whom Lars Hiller Eidnes trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Diederik P. Kingma
- Kaiming He
- Karen Simonyan
- Christian Szegedy
- Yann LeCun
- Andrew Y. Ng
- Ruslan Salakhutdinov
Who trusts Lars Hiller Eidnes overall
Papers from Lars Hiller Eidnes's perspective
Ordered by how strongly the researchers Lars Hiller Eidnes 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)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- Training Neural Networks with Local Error Signals (2019) — 273 citations