Changbin Li
4 papers · 2022–2024 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
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Hot Topic Early Bird
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The Questioner
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Research topics
Machine Learning
(4)
Artificial Intelligence
(3)
Deep Learning
(2)
Core Methods
(2)
Learning Paradigms · Artificial Intelligence
(2)
Learning Paradigms · Machine Learning
(2)
Learning Types · Machine Learning
(2)
Natural Language Processing
(1)
Application Areas
(1)
Bayesian & Probabilistic
(1)
Generation
(1)
Learning Types · Deep Learning
(1)
Models
(1)
Optimization & Theory
(1)
Keywords
few-shot learning
(2)
model-agnostic meta-learning
(2)
semi-supervised learning
(1)
risk management
(1)
probabilistic modeling
(1)
domain adaptation
(1)
uncertainty quantification
(1)
natural language generation
(1)
text summarization
(1)
mutual information
(1)
performance evaluation
(1)
robust learning
(1)
bilevel optimization
(1)
deep neural network
(1)
uncertainty estimation
(1)
domain shift
(1)
evidence theory
(1)
few-shot classification
(1)
submodular mutual information
(1)
robust meta-learning
(1)
Papers
Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization?
EMNLP 2024
Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty
ICLR 2024
A Nested Bi-level Optimization Framework for Robust Few Shot Learning
AAAI 2022
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information
ICML 2022