Weishi Shi
11 papers · 2019–2026 · 6 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (21) 💎 Century Club · Bronze 📈 Trend Setter
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Keyword Collector
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Top co-authors
Research topics
Machine Learning
(10)
Learning Types · Machine Learning
(9)
Artificial Intelligence
(7)
Core Methods
(6)
Bayesian & Probabilistic · Artificial Intelligence
(4)
Learning Paradigms
(3)
Optimization & Theory
(3)
Application Areas
(2)
Deep Learning
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Core AI
(1)
Learning Types · Deep Learning
(1)
Keywords
active learning
(8)
multi-class classification
(3)
label correlation
(3)
multi-label classification
(2)
uncertainty quantification
(2)
gaussian process
(2)
label-efficient learning
(2)
multi-label learning
(1)
bayesian inference
(1)
continual learning
(1)
deep learning
(1)
sparse approximation
(1)
wearable sensor
(1)
maximum margin
(1)
variational inference
(1)
empirical baye
(1)
mixture model
(1)
support vector machine
(1)
label efficiency
(1)
model evaluation
(1)
Papers
Label-Wise uncertainty decomposition for Multi-label Classification by Maximizing Type II Likelihood
UAI 2026
Evidential Mixture Machines: Deciphering Multi-Label Correlations for Active Learning Sensitivity
NeurIPS 2024
Wearable Sensor-Based Few-Shot Continual Learning on Hand Gestures for Motor-Impaired Individuals via Latent Embedding Exploitation
IJCAI 2024
Actively Testing Your Model While It Learns: Realizing Label-Efficient Learning in Practice
NeurIPS 2023
Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning
ICML 2023
STARS: Spatial-Temporal Active Re-sampling for Label-Efficient Learning from Noisy Annotations
AAAI 2023
Active Learning with Maximum Margin Sparse Gaussian Processes
AISTATS 2021
A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning
NeurIPS 2021
Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning
NeurIPS 2020
Fast Direct Search in an Optimally Compressed Continuous Target Space for Efficient Multi-Label Active Learning
ICML 2019
Integrating Bayesian and Discriminative Sparse Kernel Machines for Multi-class Active Learning
NeurIPS 2019