Baile Xu

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 Baile Xu trusts overall

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

1. Alex Krizhevsky

Papers from Baile Xu's perspective

Ordered by how strongly the researchers Baile Xu 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. ImageNet classification with deep convolutional neural networks
9. Gradient-based learning applied to document recognition
10. End-to-End Incremental Learning

Their papers

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