Andrew M. Dai
9 papers · 2018–2023 · 5 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (25) π Conference Polyglot Β· Silver
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Topic Evolution
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Mega-Team Β· Legion
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Trend Setter
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Unstoppable Β· Bronze
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Conference Pioneer
Top co-authors
Research topics
Deep Learning
(8)
Artificial Intelligence
(5)
Architectures
(4)
Core AI
(4)
Models
(4)
Machine Learning
(3)
Learning Types
(3)
Natural Language Processing
(2)
Generation
(2)
Learning Paradigms
(2)
Computer Vision
(1)
Healthcare & Medicine
(1)
Application Areas
(1)
Bayesian & Probabilistic
(1)
Clinical
(1)
Keywords
few-shot learning
(3)
generative adversarial network
(3)
zero-shot learning
(2)
semi-supervised learning
(1)
game theory
(1)
text generation
(1)
neural architecture search
(1)
unsupervised feature learning
(1)
sequence model
(1)
efficient computing
(1)
neural architecture
(1)
instruction tuning
(1)
maximum likelihood
(1)
nash equilibrium
(1)
language model
(1)
generative model
(1)
energy-based model
(1)
multimodal learning
(1)
divergence minimization
(1)
transformer architecture
(1)
Papers
Brainformers: Trading Simplicity for Efficiency
ICML 2023
Mind's Eye: Grounded Language Model Reasoning through Simulation
ICLR 2023
PaLM: Scaling Language Modeling with Pathways
JMLR 2023
Finetuned Language Models are Zero-Shot Learners
ICLR 2022
MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records
AAAI 2021
Flow Contrastive Estimation of Energy-Based Models
CVPR 2020
Music Transformer: Generating Music with Long-Term Structure
ICLR 2019
Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step
ICLR 2018
MaskGAN: Better Text Generation via Filling in the _______
ICLR 2018