Florian Mai

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Optimization & Training — 16 citations into it

Whom Florian Mai trusts overall

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

1. Diederik P. Kingma
2. Yoshua Bengio
3. James Bergstra
4. Geoffrey E. Hinton
5. Kaiming He
6. Ilya Loshchilov
7. Jimmy Ba
8. Alex Krizhevsky
9. Wei David Liu
10. Ilya Sutskever

Papers from Florian Mai's perspective

Ordered by how strongly the researchers Florian Mai 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

Their papers

• Optimizer Benchmarking Needs to Account for Hyperparameter Tuning (2019) — 62 citations