Sung-En Chang
6 papers · 2017–2024 · 6 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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🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(17)
🐣
Hot Topic Early Bird
Top co-authors
Research topics
Machine Learning
(5)
Core Methods
(3)
Deep Learning
(2)
Application Areas
(2)
Learning Types · Machine Learning
(2)
Optimization & Theory · Machine Learning
(2)
Artificial Intelligence
(1)
Mathematics & Optimization
(1)
Bayesian & Probabilistic
(1)
Core AI
(1)
Learning Types · Deep Learning
(1)
Optimization
(1)
Optimization & Theory · Deep Learning
(1)
Techniques
(1)
Keywords
atomic norm regularization
(2)
model compression
(1)
representation learning
(1)
nonparametric bayesian
(1)
convex optimization
(1)
matrix factorization
(1)
feature selection
(1)
knowledge distillation
(1)
expectation maximization
(1)
tensor decomposition
(1)
nonparametric model
(1)
sparse regression
(1)
model pruning
(1)
indian buffet process
(1)
latent feature model
(1)
overfitting reduction
(1)
weight quantization
(1)
inference acceleration
(1)
prompting strategy
(1)
tensor method
(1)
Papers
Digital Avatars: Framework Development and Their Evaluation
IJCAI 2024
Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm
ACL 2022
You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding
ECCV 2022
RMSMP: A Novel Deep Neural Network Quantization Framework With Row-Wise Mixed Schemes and Multiple Precisions
ICCV 2021
MixLasso: Generalized Mixed Regression via Convex Atomic-Norm Regularization
NeurIPS 2018
Latent Feature Lasso
ICML 2017