Jihun Yun

According to our database1, Jihun Yun authored at least 9 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding.
CoRR, 2024

TEDDY: Trimming Edges with Degree-based Discrimination Strategy.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Riemannian SAM: Sharpness-Aware Minimization on Riemannian Manifolds.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
AdaBlock: SGD with Practical Block Diagonal Matrix Adaptation for Deep Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Adaptive Proximal Gradient Methods for Structured Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Cluster-Promoting Quantization with Bit-Drop for Minimizing Network Quantization Loss.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
A General Family of Stochastic Proximal Gradient Methods for Deep Learning.
CoRR, 2020

2019
Stochastic Gradient Methods with Block Diagonal Matrix Adaptation.
CoRR, 2019

Trimming the $\ell_1$ Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019


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