Auke J. Wiggers

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 105 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it
• Generative Models — 19 citations into it
• Artificial Intelligence — 15 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Auke J. Wiggers trusts overall

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

1. Aäron van den Oord
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Kaiming He
6. Diederik P. Kingma
7. Hugo Larochelle
8. Oriol Vinyals
9. Chris J. Maddison
10. Samy Bengio

Who trusts Auke J. Wiggers overall

1. Charlie Chen
2. Sebastian Borgeaud

Papers from Auke J. Wiggers's perspective

Ordered by how strongly the researchers Auke J. Wiggers 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Predictive Sampling with Forecasting Autoregressive Models (2020) — 18 citations