Yixiong Zou
Artificial Intelligence · with Zhang · 2020–2022
A researcher in the Science corpus: 3 papers; trusts 426 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 102 citations into it
- Computer Vision and Pattern Recognition — 101 citations into it
- Representation & Self-Supervised Learning — 59 citations into it
- Meta & Continual Learning — 31 citations into it
- Radiology, Nuclear Medicine and Imaging — 21 citations into it
- Optimization & Training — 14 citations into it
- Model Architectures — 8 citations into it
Whom Yixiong Zou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yoshua Bengio
- Ross B. Girshick
- Ilya Sutskever
- Diederik P. Kingma
- Yann LeCun
- Oriol Vinyals
- Karen Simonyan
Who trusts Yixiong Zou overall
Papers from Yixiong Zou's perspective
Ordered by how strongly the researchers Yixiong Zou trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation (2022) — 98 citations
- Revisiting Mid-Level Patterns for Cross-Domain Few-Shot Recognition (2020) — 19 citations
- Compositional Few-Shot Recognition with Primitive Discovery and Enhancing (2020) — 33 citations