F. Zhu

Computer Vision and Pattern Recognition · with Duan · 2024

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

Whom F. Zhu trusts

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

  1. Marc'Aurelio Ranzato (in Computer Vision and Pattern Recognition)

Papers from F. Zhu's perspective

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

  1. Overcoming catastrophic forgetting in neural networks
  2. Denoising Diffusion Probabilistic Models (Neural Information Processing Systems)
  3. iCaRL: Incremental Classifier and Representation Learning
  4. Gradient Episodic Memory for Continual Learning
  5. Variational image compression with a scale hyperprior
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. A ConvNet for the 2020s
  8. ImageNet classification with deep convolutional neural networks
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Mnemonics Training: Multi-Class Incremental Learning Without Forgetting

Their papers