Andrew M. Dai
9 papers · 2018–2023 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Academic Marathon (5) π Conference Polyglot (5) π Renaissance Researcher (6) πΊοΈ Taxonomy Completionist (17)
π£
Hot Topic Early Bird
π
Renaissance Researcher
(6)
π
Interdisciplinary Bridge
π₯
Mega-Team
(67)
π₯
Unstoppable
(6)
π
Conference Pioneer
Conferences
ICLR (5)
AAAI (1)
CVPR (1)
ICML (1)
JMLR (1)
Top co-authors
Keywords
transformer architecture
(1)
semi-supervised learning
(1)
few-shot learning
(1)
multimodal learning
(1)
unsupervised feature learning
(1)
neural architecture search
(1)
efficient computing
(1)
neural architecture
(1)
generative model
(1)
energy-based model
(1)
generative adversarial network
(1)
feed-forward network
(1)
flow-based model
(1)
multimodal fusion
(1)
electronic health record
(1)
model efficiency
(1)
noise contrastive estimation
(1)
layer normalization
(1)
jensen-shannon divergence
(1)
multi-step reasoning
(1)
Papers
PaLM: Scaling Language Modeling with Pathways
JMLR 2023
Brainformers: Trading Simplicity for Efficiency
ICML 2023
Mind's Eye: Grounded Language Model Reasoning through Simulation
ICLR 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
MaskGAN: Better Text Generation via Filling in the _______
ICLR 2018
Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step
ICLR 2018