Minyoung Huh
8 papers · 2018–2024 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(14)
🚀
Conference Pioneer
Venues
Top co-authors
Research topics
Deep Learning
(4)
Machine Learning
(4)
Architectures
(2)
Core Methods
(2)
Learning Types · Deep Learning
(2)
Models
(2)
Optimization & Theory · Machine Learning
(2)
Optimization & Theory · Deep Learning
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Mathematics & Optimization
(1)
Core AI
(1)
Generation
(1)
Learning Types · Machine Learning
(1)
Optimization
(1)
Keywords
neural network optimization
(2)
adversarial learning
(1)
image generation
(1)
image-to-image translation
(1)
vector quantization
(1)
alternating optimization
(1)
convergence
(1)
generative model
(1)
generative adversarial network
(1)
straight-through estimator
(1)
codebook learning
(1)
feedback learning
(1)
modular norm
(1)
weight normalization
(1)
gradient lipshitz continuity
(1)
gradient lipschitz continuity
(1)
learning rate transfer
(1)
deep learning scaling
(1)
commitment loss
(1)
discriminator feedback
(1)
Papers
Position: The Platonic Representation Hypothesis
ICML 2024
Scalable Optimization in the Modular Norm
NeurIPS 2024
Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks
ICML 2023
Totems: Physical Objects for Verifying Visual Integrity
ECCV 2022
Aligning and Projecting Images to Class-conditional Generative Networks
ECCV 2020
Feedback Adversarial Learning: Spatial Feedback for Improving Generative Adversarial Networks
CVPR 2019
Fighting Fake News: Image Splice Detection via Learned Self-Consistency
ECCV 2018
Multi-view to Novel view: Synthesizing novel views with Self-Learned Confidence
ECCV 2018