Weishi Shi
10 papers · 2019–2024 · 5 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (20) π§ Keyword Pioneer π£ Hot Topic Early Bird π Cross-Pollinator (7) π Interdisciplinary Bridge
π
Conference Polyglot
(5)
π
Academic Marathon
(5)
π
Century Club
(10)
π
Trend Setter
Conferences
NIPS (5)
ICML (2)
AAAI (1)
AISTATS (1)
IJCAI (1)
Top co-authors
Keywords
active learning
(7)
label correlation
(3)
uncertainty quantification
(2)
gaussian process
(2)
label-efficient learning
(2)
multi-class classification
(2)
multi-label learning
(1)
bayesian inference
(1)
continual learning
(1)
deep learning
(1)
multi-label classification
(1)
sparse approximation
(1)
variational inference
(1)
maximum margin
(1)
mixture model
(1)
support vector machine
(1)
label efficiency
(1)
wearable sensor
(1)
annotation cost
(1)
model evaluation
(1)
Papers
Evidential Mixture Machines: Deciphering Multi-Label Correlations for Active Learning Sensitivity
NIPS 2024
Wearable Sensor-Based Few-Shot Continual Learning on Hand Gestures for Motor-Impaired Individuals via Latent Embedding Exploitation
IJCAI 2024
STARS: Spatial-Temporal Active Re-sampling for Label-Efficient Learning from Noisy Annotations
AAAI 2023
Actively Testing Your Model While It Learns: Realizing Label-Efficient Learning in Practice
NIPS 2023
Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning
ICML 2023
Active Learning with Maximum Margin Sparse Gaussian Processes
AISTATS 2021
A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning
NIPS 2021
Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning
NIPS 2020
Integrating Bayesian and Discriminative Sparse Kernel Machines for Multi-class Active Learning
NIPS 2019
Fast Direct Search in an Optimally Compressed Continuous Target Space for Efficient Multi-Label Active Learning
ICML 2019