Bernd Huber

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it; #32,628 of 35,347 by trust here, #18,591 by citations
• Computer Vision and Pattern Recognition — 15 citations into it; #20,019 of 21,572 by trust here, #12,419 by citations
• Natural Language Processing — 14 citations into it
• Model Architectures — 9 citations into it; #2,071 of 2,278 by trust here, #1,620 by citations

Whom Bernd Huber trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ilya Sutskever
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Tomas Mikolov
5. Karen Simonyan
6. Matthew D. Zeiler
7. J. Urgen Schmidhuber
8. Dzmitry Bahdanau
9. Alex Krizhevsky
10. Yann LeCun

Who trusts Bernd Huber overall

1. Chaopeng Shen

Papers from Bernd Huber's perspective

Ordered by how strongly the researchers Bernd Huber trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

Their papers

• Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks (2016) — 85 citations