Minyoung Huh

17 papers A* 3Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2024 A* conf
Position: The Platonic Representation Hypothesis.
ICML
Minyoung Huh, Brian Cheung, Tongzhou Wang, Phillip Isola
2024 J jnl
Scalable Optimization in the Modular Norm.
CoRR
Tim Large, Yang Liu, Minyoung Huh, Hyojin Bahng, Phillip Isola, Jeremy Bernstein
2024 J jnl
The Platonic Representation Hypothesis.
CoRR
Minyoung Huh, Brian Cheung, Tongzhou Wang, Phillip Isola
2024 J jnl
Training Neural Networks from Scratch with Parallel Low-Rank Adapters.
CoRR
Minyoung Huh, Brian Cheung, Jeremy Bernstein, Phillip Isola, Pulkit Agrawal
2023 A* conf
Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks.
ICML
Minyoung Huh, Brian Cheung, Pulkit Agrawal, Phillip Isola
2023 J jnl
Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks.
CoRR
Minyoung Huh, Brian Cheung, Pulkit Agrawal, Phillip Isola
2023 J jnl
The Low-Rank Simplicity Bias in Deep Networks.
Trans. Mach. Learn. Res.
Minyoung Huh, Hossein Mobahi, Richard Zhang, Brian Cheung, Pulkit Agrawal, Phillip Isola
2022 — conf
Totems: Physical Objects for Verifying Visual Integrity.
ECCV (14)
Jingwei Ma, Lucy Chai, Minyoung Huh, Tongzhou Wang, Ser-Nam Lim, Phillip Isola, Antonio Torralba
2022 J jnl
Totems: Physical Objects for Verifying Visual Integrity.
CoRR
Jingwei Ma, Lucy Chai, Minyoung Huh, Tongzhou Wang, Ser-Nam Lim, Phillip Isola, Antonio Torralba
2021 J jnl
Learning to Ground Multi-Agent Communication with Autoencoders.
CoRR
Toru Lin, Minyoung Huh, Christopher Stauffer, Ser-Nam Lim, Phillip Isola
2021 J jnl
The Low-Rank Simplicity Bias in Deep Networks.
CoRR
Minyoung Huh, Hossein Mobahi, Richard Zhang, Brian Cheung, Pulkit Agrawal, Phillip Isola
2020 — conf
Transforming and Projecting Images into Class-Conditional Generative Networks.
ECCV (2)
Minyoung Huh, Richard Zhang, Jun-Yan Zhu, Sylvain Paris, Aaron Hertzmann
2020 J jnl
Transforming and Projecting Images into Class-conditional Generative Networks.
CoRR
Minyoung Huh, Richard Zhang, Jun-Yan Zhu, Sylvain Paris, Aaron Hertzmann
2019 A* conf
Feedback Adversarial Learning: Spatial Feedback for Improving Generative Adversarial Networks.
CVPR
Minyoung Huh, Shao-Hua Sun, Ning Zhang
2018 — conf
Fighting Fake News: Image Splice Detection via Learned Self-Consistency.
ECCV (11)
Minyoung Huh, Andrew Liu, Andrew Owens, Alexei A. Efros
2018 J jnl
Fighting Fake News: Image Splice Detection via Learned Self-Consistency.
CoRR
Minyoung Huh, Andrew Liu, Andrew Owens, Alexei A. Efros
2018 — conf
Multi-view to Novel View: Synthesizing Novel Views With Self-learned Confidence.
ECCV (3)
Shao-Hua Sun, Minyoung Huh, Yuan-Hong Liao, Ning Zhang, Joseph J. Lim