Yanqi Zhou
14 papers · 2017–2024 · 7 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
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πΊοΈ Taxonomy Completionist (24) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Topic Evolution
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Keyword Pioneer
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Trend Setter
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Unstoppable Β· Bronze
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Century Club Β· Bronze
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The Questioner
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Prolific Year Β· Productive
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Research topics
Machine Learning
(9)
Deep Learning
(8)
Application Areas
(7)
Artificial Intelligence
(6)
Architectures
(6)
Learning Paradigms
(4)
Learning Types Β· Machine Learning
(3)
Optimization & Theory
(3)
Natural Language Processing
(2)
Core AI
(2)
Learning Types Β· Deep Learning
(2)
Models
(2)
Resources & Methods
(2)
Techniques
(2)
Speech & Audio
(1)
Keywords
mixture of expert
(4)
model compression
(3)
sparse activation
(3)
neural architecture search
(2)
transformer architecture
(2)
neural network
(2)
transfer learning
(2)
few-shot learning
(2)
language model
(2)
graph neural network
(2)
parameter efficiency
(2)
conditional computation
(1)
multi-task learning
(1)
efficient computing
(1)
speech synthesis
(1)
vision transformer
(1)
knowledge distillation
(1)
instruction tuning
(1)
knowledge transfer
(1)
catastrophic forgetting
(1)
Papers
Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models
ICLR 2024
Brainformers: Trading Simplicity for Efficiency
ICML 2023
Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference
NeurIPS 2023
Learning Large Graph Property Prediction via Graph Segment Training
NeurIPS 2023
Lifelong Language Pretraining with Distribution-Specialized Experts
ICML 2023
Toward Edge-Efficient Dense Predictions With Synergistic Multi-Task Neural Architecture Search
WACV 2023
TripLe: Revisiting Pretrained Model Reuse and Progressive Learning for Efficient Vision Transformer Scaling and Searching
ICCV 2023
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts
ICML 2022
Mixture-of-Experts with Expert Choice Routing
NeurIPS 2022
Do Transformer Modifications Transfer Across Implementations and Applications?
EMNLP 2021
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
JMLR 2020
Transferable Graph Optimizers for ML Compilers
NeurIPS 2020
Neural Voice Cloning with a Few Samples
NeurIPS 2018
Deep Voice 2: Multi-Speaker Neural Text-to-Speech
NeurIPS 2017