Zhouchen Lin

Artificial Intelligence · with He · 2024

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Representation & Self-Supervised Learning — 9 citations into it

Whom Zhouchen Lin trusts overall

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

1. Erkki Oja

Papers from Zhouchen Lin's perspective

Ordered by how strongly the researchers Zhouchen Lin 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. Gradient-based learning applied to document recognition
3. ImageNet classification with deep convolutional neural networks
4. Progressive Neural Networks
5. Overcoming catastrophic forgetting in neural networks
6. Learning without Forgetting
7. ImageNet Large Scale Visual Recognition Challenge
8. iCaRL: Incremental Classifier and Representation Learning
9. Continual Learning Through Synaptic Intelligence
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks (2024) — 19 citations