Jun Shu
7 papers · 2019–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(19)
Venues
Top co-authors
Research topics
Machine Learning
(6)
Learning Types · Machine Learning
(6)
Artificial Intelligence
(4)
Deep Learning
(3)
Core Methods
(3)
Core AI
(2)
Learning Paradigms · Artificial Intelligence
(2)
Learning Paradigms · Machine Learning
(2)
Optimization & Theory
(2)
Natural Language Processing
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Generation
(1)
Learning Types · Deep Learning
(1)
Models
(1)
Keywords
noisy label
(2)
label noise
(2)
meta learning
(2)
probabilistic modeling
(1)
domain generalization
(1)
variational inference
(1)
transfer learning
(1)
multi-label learning
(1)
hyperparameter optimization
(1)
noisy label learning
(1)
weakly supervised learning
(1)
in-context learning
(1)
text generation
(1)
class imbalance
(1)
multi-output regression
(1)
semantic space
(1)
noise robustness
(1)
deep neural network
(1)
soft label
(1)
symbolic regression
(1)
Papers
Improving Memory Efficiency for Training KANs via Meta Learning
ICML 2025
On the Noise Robustness of In-Context Learning for Text Generation
NeurIPS 2024
Dual Meta-Learning with Longitudinally Consistent Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan
ICCV 2023
Learning an Explicit Hyper-parameter Prediction Function Conditioned on Tasks
JMLR 2023
Learning to Purify Noisy Labels via Meta Soft Label Corrector
AAAI 2021
Variational Label Enhancement
ICML 2020
Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting
NeurIPS 2019