Nils Holzenberger

Artificial Intelligence · with Arora · 2018

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Multimodal Learning — 9 citations into it

Whom Nils Holzenberger trusts overall

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

1. Kaiming He
2. Richard Socher
3. Dzmitry Bahdanau
4. Yoshua Bengio
5. Andrew Zisserman
6. Geoffrey E. Hinton
7. Relja Arandjelovi'c
8. Alex Krizhevsky
9. David F. Harwath
10. Li Fei-Fei

Papers from Nils Holzenberger's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Learning from Multiview Correlations in Open-domain Videos (2018) — 11 citations