Janis Keuper

Computer Vision and Pattern Recognition · 2015–2020

A researcher in the Science corpus: 3 papers; trusts 292 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 50 citations into it; #15,970 of 21,575 by trust here, #15,162 by citations
• Generative Models — 29 citations into it
• Artificial Intelligence — 26 citations into it
• Optimization & Training — 17 citations into it

Whom Janis Keuper trusts overall

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

1. Alex Krizhevsky
2. L. Eon Bottou
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Christian Szegedy
6. Ilya Sutskever
7. Anil K. Jain
8. Quoc V. Le
9. David Sculley
10. Yann LeCun

Who trusts Janis Keuper overall

1. Igor Adamski
2. Kumar Kshitij Patel

Papers from Janis Keuper's perspective

Ordered by how strongly the researchers Janis Keuper 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Watch Your Up-Convolution: CNN Based Generative Deep Neural Networks Are Failing to Reproduce Spectral Distributions (2020) — 541 citations
• Distributed Training of Deep Neural Networks: Theoretical and Practical Limits of Parallel Scalability (2016) — 104 citations
• Asynchronous parallel stochastic gradient descent: a numeric core for scalable distributed machine learning algorithms (2015) — 38 citations