Phi-Le Nguyen
Artificial Intelligence · 2022
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 62 citations into it
Whom Phi-Le Nguyen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Phi-Le Nguyen's perspective
Ordered by how strongly the researchers Phi-Le Nguyen trusts endorse each paper. Same corpus, a different order for every researcher.
- GradientBased Learning Applied to Document Recognition
- 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
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- A Survey of Machine Unlearning (2022) — 439 citations