Sung-En Chang
6 papers · 2017–2024 · 6 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Conference Polyglot (6) π Academic Marathon (7) π Cross-Pollinator (13) π Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(17)
π£
Hot Topic Early Bird
Conferences
ACL (1)
ECCV (1)
ICCV (1)
ICML (1)
IJCAI (1)
NIPS (1)
Top co-authors
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
NIPS 2018
Latent Feature Lasso
ICML 2017