Jan Kautz

Artificial Intelligence · with Hatamizadeh · 2024

A researcher in the Science corpus: 2 papers; trusts 160 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 59 citations into it
• Computer Vision and Pattern Recognition — 45 citations into it
• Model Architectures — 32 citations into it
• Evaluation & Benchmarks — 19 citations into it
• Natural Language Processing — 16 citations into it
• Optimization & Training — 6 citations into it

Whom Jan Kautz trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Sergey Ioffe
4. Alex Krizhevsky
5. Ross B. Girshick
6. Yoshua Bengio
7. Christian Szegedy
8. Diederik P. Kingma
9. J. Urgen Schmidhuber
10. Yann LeCun

Who trusts Jan Kautz overall

1. Songlin Yang

Papers from Jan Kautz's perspective

Ordered by how strongly the researchers Jan Kautz 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. 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. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Gated Delta Networks: Improving Mamba2 with Delta Rule (2024) — 381 citations
• MambaVision: A Hybrid Mamba-Transformer Vision Backbone (2024) — 450 citations