François Fouss
Artificial Intelligence · 2012
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 12 citations into it
- Computer Vision and Pattern Recognition — 11 citations into it
- Information Systems — 11 citations into it
- Computational Theory and Mathematics — 8 citations into it
- Representation & Self-Supervised Learning — 8 citations into it
Whom François Fouss trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Risi Kondor
- George Karypis
- Bernhard Schölkopf
- Jia-Yu Pan
- Xiaojin Zhu
- Dengyong Zhou
- Hanghang Tong
- Alex Smola
- Christos Faloutsos
- Jihun Ham
Who trusts François Fouss overall
Papers from François Fouss's perspective
Ordered by how strongly the researchers François Fouss trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)