Jihun Yun

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 10

Top Topics

Riemannian Manifolds

Uniform Quantization

Stochastic Gradient

Top Venues

Publications

Hyunjin Seo, Jihun Yun, Eunho Yang
TEDDY: Trimming Edges with Degree-based Discrimination Strategy. ICLR (2024)
Hyunjin Seo, Jihun Yun, Eunho Yang
TEDDY: Trimming Edges with Degree-based Discrimination strategY. CoRR (2024)
Jihun Yun, Eunho Yang
Riemannian SAM: Sharpness-Aware Minimization on Riemannian Manifolds. NeurIPS (2023)
Jihun Yun, Aurélie C. Lozano, Eunho Yang
AdaBlock: SGD with Practical Block Diagonal Matrix Adaptation for Deep Learning. AISTATS (2022)
Jihun Yun, Aurélie C. Lozano, Eunho Yang
Adaptive Proximal Gradient Methods for Structured Neural Networks. NeurIPS (2021)
Jung Hyun Lee, Jihun Yun, Sung Ju Hwang, Eunho Yang
Cluster-Promoting Quantization with Bit-Drop for Minimizing Network Quantization Loss. CoRR (2021)
Jung Hyun Lee, Jihun Yun, Sung Ju Hwang, Eunho Yang
Cluster-Promoting Quantization with Bit-Drop for Minimizing Network Quantization Loss. ICCV (2021)
Jihun Yun, Aurelie C. Lozano, Eunho Yang
A General Family of Stochastic Proximal Gradient Methods for Deep Learning. CoRR (2020)
Jihun Yun, Aurelie C. Lozano, Eunho Yang
Stochastic Gradient Methods with Block Diagonal Matrix Adaptation. CoRR (2019)
Jihun Yun, Peng Zheng, Eunho Yang, Aurelie C. Lozano, Aleksandr Y. Aravkin
Trimming the $\ell_1$ Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning. ICML (2019)