Weihang Dai
3 papers · 2023–2024 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(11)
Venues
Top co-authors
Research topics
Machine Learning
(3)
Deep Learning
(2)
Core Methods
(2)
Learning Types · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Healthcare & Medicine
(1)
Bayesian & Probabilistic
(1)
Clinical
(1)
Core AI
(1)
Domain-Specific
(1)
Models
(1)
Optimization & Theory
(1)
Keywords
ordinal regression
(2)
semi-supervised learning
(2)
variational inference
(1)
semi-supervised regression
(1)
uncertainty quantification
(1)
semantic alignment
(1)
deep regression
(1)
model ensemble
(1)
uncertainty estimation
(1)
bayesian neural network
(1)
heteroscedastic regression
(1)
number sense
(1)
uncertainty consistency
(1)
variational model ensembling
(1)
ordinal ranking
(1)
spectral seriation
(1)
clip
(1)
cross-modal ranking-based regularisation loss
(1)
representation learning
(1)
discretize
(1)
Papers
Teach CLIP to Develop a Number Sense for Ordinal Regression
ECCV 2024
Semi-Supervised Contrastive Learning for Deep Regression with Ordinal Rankings from Spectral Seriation
NeurIPS 2023
Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks
AAAI 2023