Johannes Wagner

Representation & Self-Supervised Learning · with Eyben · 2022

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Representation & Self-Supervised Learning — 9 citations into it
• Signal Processing — 9 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Johannes Wagner trusts overall

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

1. Karol J. Piczak
2. Geoffrey E. Hinton
3. L. V. D. van der Maaten
4. Yoshua Bengio
5. Jie M. Zhang
6. Wei-Ning Hsu
7. Alex Krizhevsky
8. Diederik P. Kingma
9. Ruslan Salakhutdinov
10. Carlos Busso

Who trusts Johannes Wagner overall

1. Li-Wei Chen
2. Shinji Watanabe

Papers from Johannes Wagner's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Dawn of the Transformer Era in Speech Emotion Recognition: Closing the Valence Gap (2022) — 492 citations