Zhongfan Jia

Computer Vision and Pattern Recognition · with Bao · 2021

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 — 17 citations into it
• Representation & Self-Supervised Learning — 10 citations into it

Whom Zhongfan Jia trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton

Who trusts Zhongfan Jia overall

1. Liyuan Wang

Papers from Zhongfan Jia's perspective

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

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

Their papers

• AFEC: Active Forgetting of Negative Transfer in Continual Learning (2021) — 123 citations