Search Results for author: DongGyu Lee

Found 3 papers, 1 papers with code

Continual Learning in the Presence of Spurious Correlation

no code implementations21 Mar 2023 DongGyu Lee, Sangwon Jung, Taesup Moon

Specifically, we first show through two-task CL experiments that standard CL methods, which are unaware of dataset bias, can transfer biases from one task to another, both forward and backward, and this transfer is exacerbated depending on whether the CL methods focus on the stability or the plasticity.

Continual Learning Transfer Learning

Fair Feature Distillation for Visual Recognition

no code implementations CVPR 2021 Sangwon Jung, DongGyu Lee, TaeEon Park, Taesup Moon

Fairness is becoming an increasingly crucial issue for computer vision, especially in the human-related decision systems.

Fairness Knowledge Distillation

Uncertainty-based Continual Learning with Adaptive Regularization

1 code implementation NeurIPS 2019 Hongjoon Ahn, Sungmin Cha, DongGyu Lee, Taesup Moon

We introduce a new neural network-based continual learning algorithm, dubbed as Uncertainty-regularized Continual Learning (UCL), which builds on traditional Bayesian online learning framework with variational inference.

Continual Learning Variational Inference

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