Jihun Yun
7 papers · 2019–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(16)
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Deep Learning
(6)
Machine Learning
(6)
Optimization & Theory · Machine Learning
(5)
Optimization & Theory · Deep Learning
(3)
Techniques
(3)
Core Methods
(2)
Learning Types
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Mathematics & Optimization
(1)
Application Areas
(1)
Architectures
(1)
Core AI
(1)
Generation
(1)
Mathematics
(1)
Keywords
stochastic gradient descent
(2)
adaptive gradient method
(2)
non-convex optimization
(2)
lottery ticket hypothesis
(1)
neural network training
(1)
image generation
(1)
geometric deep learning
(1)
sharpness-aware minimization
(1)
deep learning
(1)
neural network optimization
(1)
sparse regression
(1)
support recovery
(1)
manifold optimization
(1)
projected gradient descent
(1)
generalization error bound
(1)
proximal gradient descent
(1)
convergence guarantee
(1)
adaptive optimization
(1)
latent space
(1)
deep learning optimization
(1)
Papers
LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding
ICLR 2025
TEDDY: Trimming Edges with Degree-based Discrimination Strategy
ICLR 2024
Riemannian SAM: Sharpness-Aware Minimization on Riemannian Manifolds
NeurIPS 2023
AdaBlock: SGD with Practical Block Diagonal Matrix Adaptation for Deep Learning
AISTATS 2022
Adaptive Proximal Gradient Methods for Structured Neural Networks
NeurIPS 2021
Cluster-Promoting Quantization With Bit-Drop for Minimizing Network Quantization Loss
ICCV 2021
Trimming the ℓ_1 Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning
ICML 2019