Damien Garreau
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 8 citations into it
- Safety, Robustness & Interpretability — 7 citations into it
Whom Damien Garreau trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Damien Garreau overall
Papers from Damien Garreau's perspective
Ordered by how strongly the researchers Damien Garreau trusts endorse each paper. Same corpus, a different order for every researcher.
- Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Explaining the Explainer: A First Theoretical Analysis of LIME (2020) — 305 citations