Felix Dräxler
Artificial Intelligence · 2018
A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 49 citations into it; #16,806 of 35,345 by trust here, #7,346 by citations
- Optimization & Training — 23 citations into it
- Computer Vision and Pattern Recognition — 17 citations into it; #11,810 of 21,575 by trust here, #8,502 by citations
- Model Architectures — 12 citations into it
Whom Felix Dräxler trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Kaiming He
- Sergey Ioffe
- Geoffrey E. Hinton
- Yoshua Bengio
- Christian Szegedy
- Yann LeCun
- Graeme Henkelman
- Gao Huang
- X. Zhang
Who trusts Felix Dräxler overall
- Pavel Izmailov
- Andrew Gordon Wilson
- Stanislav Fort
- Seyed Iman Mirzadeh
- Luca Venturi
- Thang Van Doan
- Samuel K. Ainsworth
- Lior Deutsch
- Stéphane d'Ascoli
- Jihong Park
Papers from Felix Dräxler's perspective
Ordered by how strongly the researchers Felix Dräxler trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Essentially No Barriers in Neural Network Energy Landscape (2018) — 557 citations
- On the Spectral Bias of Neural Networks (2018) — 2,472 citations