Le Mao

Computer Vision and Pattern Recognition · 2019

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

• Computer Vision and Pattern Recognition — 9 citations into it

Whom Le Mao trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alex Krizhevsky

Papers from Le Mao's perspective

Ordered by how strongly the researchers Le Mao trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Learning Multiple Layers of Features from Tiny Images
3. Catastrophic Interference in Connectionist Networks: The Sequential Learning Problem
4. Overcoming catastrophic forgetting in neural networks
5. Learning without Forgetting
6. Continual Learning with Deep Generative Replay (Neural Information Processing Systems)
7. Continual Learning Through Synaptic Intelligence
8. End-to-End Incremental Learning
9. A Discriminative Feature Learning Approach for Deep Face Recognition
10. Stochastic Estimation of the Maximum of a Regression Function

Their papers

• Label Mapping Neural Networks with Response Consolidation for Class Incremental Learning (2019)