Raphaël Sgier
Computer Vision and Pattern Recognition · 2018
A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 15 citations into it
- Artificial Intelligence — 14 citations into it; #27,382 of 35,345 by trust here, #27,551 by citations
- Graph Learning — 12 citations into it
- Model Architectures — 10 citations into it
- Computational Mechanics — 8 citations into it
- Statistical and Nonlinear Physics — 5 citations into it
Whom Raphaël Sgier trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Raphaël Sgier overall
Papers from Raphaël Sgier's perspective
Ordered by how strongly the researchers Raphaël Sgier trusts endorse each paper. Same corpus, a different order for every researcher.
- Gradient-based learning applied to document recognition
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- Learning Multiple Layers of Features from Tiny Images