Felix Wiewel

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Felix Wiewel trusts overall

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

1. Alex Krizhevsky
2. Individualized Treat
3. David E. Rumelhart
4. Geoffrey E. Hinton
5. Yen-Chang Hsu
6. Yoshua Bengio
7. Rahaf Aljundi
8. Hanul Shin
9. Vladimir Naumovich Vapnik
10. Jinsung Yoon

Papers from Felix Wiewel's perspective

Ordered by how strongly the researchers Felix Wiewel 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. Gradient-based learning applied to document recognition
4. Learning Multiple Layers of Features from Tiny Images
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. GENERATIVE ADVERSARIAL NETS
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Entropy-based Sample Selection for Online Continual Learning (2021) — 28 citations