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Learning Deep Representation for Imbalanced Classification
MIT 6.S191: Deep Generative Modeling
MIT 6.S191 (2023): Deep Generative Modeling
Oversampling Highly Imbalanced Indoor Positioning Data Using Deep Generative Models
901 - De-biasing Neural Networks with Estimated Offset for Class Imbalanced Learning
MIT 6.S191 (2025): Deep Generative Modeling
Handling Imbalanced Data | Oversampling | Undersampling | SMOTE | Machine Learning | Data Science
MIT 6.S191 (2019): Deep Generative Modeling
A Generative Neighborhood Based Deep Autoencoder for Robust Imbalanced Classification
【EP11】Improving Robustness to Distribution Shifts: Methods and Benchmarks
Generative vs Discriminative AI Models
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Last Updated: August 17, 2026
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