Minyoung Huh

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 16

Top Topics

Vector Quantized

Top Venues

Publications

Minyoung Huh, Brian Cheung, Tongzhou Wang, Phillip Isola
The Platonic Representation Hypothesis. CoRR (2024)
Minyoung Huh, Brian Cheung, Jeremy Bernstein, Phillip Isola, Pulkit Agrawal
Training Neural Networks from Scratch with Parallel Low-Rank Adapters. CoRR (2024)
Tim Large, Yang Liu, Minyoung Huh, Hyojin Bahng, Phillip Isola, Jeremy Bernstein
Scalable Optimization in the Modular Norm. CoRR (2024)
Minyoung Huh, Hossein Mobahi, Richard Zhang, Brian Cheung, Pulkit Agrawal, Phillip Isola
The Low-Rank Simplicity Bias in Deep Networks. Trans. Mach. Learn. Res. 2023 (2023)
Minyoung Huh, Brian Cheung, Pulkit Agrawal, Phillip Isola
Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks. CoRR (2023)
Minyoung Huh, Brian Cheung, Pulkit Agrawal, Phillip Isola
Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks. ICML (2023)
Jingwei Ma, Lucy Chai, Minyoung Huh, Tongzhou Wang, Ser-Nam Lim, Phillip Isola, Antonio Torralba
Totems: Physical Objects for Verifying Visual Integrity. CoRR (2022)
Jingwei Ma, Lucy Chai, Minyoung Huh, Tongzhou Wang, Ser-Nam Lim, Phillip Isola, Antonio Torralba
Totems: Physical Objects for Verifying Visual Integrity. ECCV (14) (2022)
Minyoung Huh, Hossein Mobahi, Richard Zhang, Brian Cheung, Pulkit Agrawal, Phillip Isola
The Low-Rank Simplicity Bias in Deep Networks. CoRR (2021)
Toru Lin, Minyoung Huh, Chris Stauffer, Ser-Nam Lim, Phillip Isola
Learning to Ground Multi-Agent Communication with Autoencoders. CoRR (2021)
Minyoung Huh, Richard Zhang, Jun-Yan Zhu, Sylvain Paris, Aaron Hertzmann
Transforming and Projecting Images into Class-Conditional Generative Networks. ECCV (2) (2020)
Minyoung Huh, Richard Zhang, Jun-Yan Zhu, Sylvain Paris, Aaron Hertzmann
Transforming and Projecting Images into Class-conditional Generative Networks. CoRR (2020)
Minyoung Huh, Shao-Hua Sun, Ning Zhang
Feedback Adversarial Learning: Spatial Feedback for Improving Generative Adversarial Networks. CVPR (2019)
Minyoung Huh, Andrew Liu, Andrew Owens, Alexei A. Efros
Fighting Fake News: Image Splice Detection via Learned Self-Consistency. ECCV (11) (2018)
Minyoung Huh, Andrew Liu, Andrew Owens, Alexei A. Efros
Fighting Fake News: Image Splice Detection via Learned Self-Consistency. CoRR (2018)
Shao-Hua Sun, Minyoung Huh, Yuan-Hong Liao, Ning Zhang, Joseph J. Lim
Multi-view to Novel View: Synthesizing Novel Views With Self-learned Confidence. ECCV (3) (2018)