Minyoung Huh

According to our database, Minyoung Huh authored at least 12 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Scalable Optimization in the Modular Norm.

Tim Large, Yang Liu, Minyoung Huh, Hyojin Bahng, Phillip Isola, Jeremy Bernstein

CoRR, 2024

The Platonic Representation Hypothesis.

Minyoung Huh, Brian Cheung, Tongzhou Wang, Phillip Isola

CoRR, 2024

Training Neural Networks from Scratch with Parallel Low-Rank Adapters.

Minyoung Huh, Brian Cheung, Jeremy Bernstein, Phillip Isola, Pulkit Agrawal

CoRR, 2024

Position: The Platonic Representation Hypothesis.

Minyoung Huh, Brian Cheung, Tongzhou Wang, Phillip Isola

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

The Low-Rank Simplicity Bias in Deep Networks.

Minyoung Huh, Hossein Mobahi, Richard Zhang, Brian Cheung, Pulkit Agrawal, Phillip Isola

Trans. Mach. Learn. Res., 2023

Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks.

Minyoung Huh, Brian Cheung, Pulkit Agrawal, Phillip Isola

Proceedings of the International Conference on Machine Learning, 2023

2022

Totems: Physical Objects for Verifying Visual Integrity.

Jingwei Ma, Lucy Chai, Minyoung Huh, Tongzhou Wang, Ser-Nam Lim, Phillip Isola, Antonio Torralba

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Learning to Ground Multi-Agent Communication with Autoencoders.

Toru Lin, Minyoung Huh, Christopher Stauffer, Ser-Nam Lim, Phillip Isola

CoRR, 2021

2020

Transforming and Projecting Images into Class-Conditional Generative Networks.

Minyoung Huh, Richard Zhang, Jun-Yan Zhu, Sylvain Paris, Aaron Hertzmann

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Feedback Adversarial Learning: Spatial Feedback for Improving Generative Adversarial Networks.

Minyoung Huh, Shao-Hua Sun, Ning Zhang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Multi-view to Novel View: Synthesizing Novel Views With Self-learned Confidence.

Shao-Hua Sun, Minyoung Huh, Yuan-Hong Liao, Ning Zhang, Joseph J. Lim

Proceedings of the Computer Vision - ECCV 2018, 2018

Fighting Fake News: Image Splice Detection via Learned Self-Consistency.

Minyoung Huh, Andrew Liu, Andrew Owens, Alexei A. Efros

Proceedings of the Computer Vision - ECCV 2018, 2018