Bo Lei

Computer Vision and Pattern Recognition · with Li · 2020

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 — 16 citations into it
• Representation & Self-Supervised Learning — 8 citations into it

Whom Bo Lei trusts overall

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

1. Alex Krizhevsky
2. Individualized Treat
3. Alec Radford
4. Friedemann Zenke

Papers from Bo Lei's perspective

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

1. Learning Multiple Layers of Features from Tiny Images
2. GENERATIVE ADVERSARIAL NETS
3. Gradient-based learning applied to document recognition
4. ImageNet classification with deep convolutional neural networks
5. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Triple-Memory Networks: A Brain-Inspired Method for Continual Learning (2020) — 64 citations