Xiaobin Chang

Artificial Intelligence · with Cen · 2024

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it
• Computer Vision and Pattern Recognition — 28 citations into it
• Meta & Continual Learning — 22 citations into it
• Representation & Self-Supervised Learning — 11 citations into it

Whom Xiaobin Chang trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Rahaf Aljundi
4. Gido M. van de Ven
5. Kaiming He
6. Yoshua Bengio
7. Diederik P. Kingma
8. Sylvestre-Alvise Rebuffi

Papers from Xiaobin Chang's perspective

Ordered by how strongly the researchers Xiaobin Chang 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. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Long Short-Term Memory

Their papers

• Consistent Prompting for Rehearsal-Free Continual Learning (2024) — 65 citations