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Yingjun Du
ORCID
Publication Activity (10 Years)
Years Active: 2023-2024
Publications (10 Years): 10
Top Topics
Learning Process
Feature Hierarchies
Natural Language Understanding
Variational Inference
Top Venues
CoRR
ICML
IEEE Trans. Pattern Anal. Mach. Intell.
CoLLAs
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Publications
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Yingjun Du
,
Haoliang Sun
,
Xiantong Zhen
,
Jun Xu
,
Yilong Yin
,
Ling Shao
,
Cees G. M. Snoek
MetaKernel: Learning Variational Random Features With Limited Labels.
IEEE Trans. Pattern Anal. Mach. Intell.
46 (3) (2024)
Yingjun Du
,
Zehao Xiao
,
Shengcai Liao
,
Cees Snoek
ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion.
CoRR
(2023)
Wenfang Sun
,
Yingjun Du
,
Xiantong Zhen
,
Fan Wang
,
Ling Wang
,
Cees G. M. Snoek
MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks.
ICML
(2023)
Yingjun Du
,
Jiayi Shen
,
Xiantong Zhen
,
Cees G. M. Snoek
SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail.
CVPR
(2023)
Lei Zhang
,
Yingjun Du
,
Jiayi Shen
,
Xiantong Zhen
Learning to Learn With Variational Inference for Cross-Domain Image Classification.
IEEE Trans. Multim.
25 (2023)
Yingjun Du
,
Jiayi Shen
,
Xiantong Zhen
,
Cees G. M. Snoek
EMO: Episodic Memory Optimization for Few-Shot Meta-Learning.
CoLLAs
(2023)
Yingjun Du
,
Zehao Xiao
,
Shengcai Liao
,
Cees Snoek
ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion.
NeurIPS
(2023)
Yingjun Du
,
Jiayi Shen
,
Xiantong Zhen
,
Cee G. M. Snoek
EMO: Episodic Memory Optimization for Few-Shot Meta-Learning.
CoRR
(2023)
Jie Liu
,
Yingjun Du
,
Zehao Xiao
,
Cees G. M. Snoek
,
Jan-Jakob Sonke
,
Efstratios Gavves
Memory-augmented Variational Adaptation for Online Few-shot Segmentation.
ICCV (Workshops)
(2023)
Shuo Chen
,
Yingjun Du
,
Pascal Mettes
,
Cees G. M. Snoek
Multi-Label Meta Weighting for Long-Tailed Dynamic Scene Graph Generation.
CoRR
(2023)