Joanna Dipnall
4 papers · 2020–2025 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(14)
Venues
Top co-authors
Research topics
Artificial Intelligence
(4)
Machine Learning
(4)
Learning Types · Machine Learning
(3)
Deep Learning
(2)
Core AI
(2)
Core Methods
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory
(2)
Natural Language Processing
(1)
Applications
(1)
Bayesian & Probabilistic
(1)
Learning Paradigms
(1)
Models
(1)
Keywords
uncertainty estimation
(2)
few-shot learning
(1)
variational inference
(1)
multimodal learning
(1)
multi-label classification
(1)
out-of-domain detection
(1)
gaussian process
(1)
graph embedding
(1)
multi-view learning
(1)
document classification
(1)
deep neural network
(1)
out-of-distribution detection
(1)
expected calibration error
(1)
predictive uncertainty
(1)
multi-view classification
(1)
knowledge aggregation
(1)
neural process
(1)
neural network
(1)
label graph
(1)
uncertainty-aware classifier
(1)
Papers
Navigating Conflicting Views: Harnessing Trust for Learning
ICML 2025
Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation
NeurIPS 2023
Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture
NeurIPS 2022
Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs
EMNLP 2020