Geoffrey Chinot
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 — 25 citations into it
- Optimization & Training — 15 citations into it
- Scaling & Learning Theory — 9 citations into it
- Statistical and Nonlinear Physics — 6 citations into it
Whom Geoffrey Chinot trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Geoffrey Chinot's perspective
Ordered by how strongly the researchers Geoffrey Chinot 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)
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient Descent Provably Optimizes Over-parameterized Neural Networks
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)