Andrew M Dai
6 papers · 2015–2023 · 2 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (22) π£ Hot Topic Early Bird
π₯
Mega-Team Β· Squad
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Keyword Pioneer
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Trend Setter
Venues
Top co-authors
Research topics
Artificial Intelligence
(3)
Deep Learning
(3)
Machine Learning
(3)
Natural Language Processing
(3)
Techniques
(3)
Application Areas
(2)
Architectures
(2)
Learning Paradigms
(2)
Learning Types
(2)
Resources & Methods
(2)
Healthcare & Medicine
(1)
Clinical
(1)
Core AI
(1)
Core Methods
(1)
Generation
(1)
Keywords
mixture of expert
(2)
sparse activation
(2)
multi-task learning
(2)
transfer learning
(1)
text classification
(1)
self-supervised learning
(1)
neural machine translation
(1)
language modeling
(1)
multimodal learning
(1)
model fusion
(1)
clinical outcome prediction
(1)
sequence learning
(1)
long short-term memory
(1)
recurrent neural network
(1)
language model
(1)
pre-trained model
(1)
parameter efficiency
(1)
expert routing
(1)
text-to-image diffusion model
(1)
multilingual learning
(1)
Papers
MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation
NeurIPS 2023
Order Matters in the Presence of Dataset Imbalance for Multilingual Learning
NeurIPS 2023
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts
ICML 2022
Mixture-of-Experts with Expert Choice Routing
NeurIPS 2022
Learning to Select Best Forecast Tasks for Clinical Outcome Prediction
NeurIPS 2020
Semi-supervised Sequence Learning
NeurIPS 2015