| 2024 | ICML | Position: The Platonic Representation Hypothesis. | Minyoung Huh, Brian Cheung, Tongzhou Wang, Phillip Isola |
| 2023 | ICML | Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks. | Minyoung Huh, Brian Cheung, Pulkit Agrawal, Phillip Isola |
| 2022 | ECCV | Totems: Physical Objects for Verifying Visual Integrity. | Jingwei Ma, Lucy Chai, Minyoung Huh, Tongzhou Wang, Ser-Nam Lim, Phillip Isola, Antonio Torralba |
| 2020 | ECCV | Transforming and Projecting Images into Class-Conditional Generative Networks. | Minyoung Huh, Richard Zhang, Jun-Yan Zhu, Sylvain Paris, Aaron Hertzmann |
| 2019 | CVPR | Feedback Adversarial Learning: Spatial Feedback for Improving Generative Adversarial Networks. | Minyoung Huh, Shao-Hua Sun, Ning Zhang |
| 2018 | ECCV | Fighting Fake News: Image Splice Detection via Learned Self-Consistency. | Minyoung Huh, Andrew Liu, Andrew Owens, Alexei A. Efros |
| 2018 | ECCV | 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 |