Felix Feldmann

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it
• Safety, Robustness & Interpretability — 6 citations into it

Whom Felix Feldmann trusts overall

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

1. Zachary Chase Lipton
2. Pang Wei Koh
3. Marco Tulio Ribeiro
4. Yin Lou
5. Himabindu Lakkaraju
6. Ramprasaath R. Selvaraju
7. Menaka Narayanan
8. Percy Liang
9. R. Caruana

Who trusts Felix Feldmann overall

1. David Leslie

Papers from Felix Feldmann's perspective

Ordered by how strongly the researchers Felix Feldmann 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Measuring Machine Learning Model Interpretability (2018)