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02/10/2023
CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition
Class imbalance problems frequently occur in real-world tasks, and conve...
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02/03/2023
Revisiting Intermediate Layer Distillation for Compressing Language Models: An Overfitting Perspective
Knowledge distillation (KD) is a highly promising method for mitigating ...
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10/18/2022
Synergy with Translation Artifacts for Training and Inference in Multilingual Tasks
Translation has played a crucial role in improving the performance on mu...
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06/15/2022
ALASCA: Rethinking Label Smoothing for Deep Learning Under Label Noise
As label noise, one of the most popular distribution shifts, severely de...
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06/29/2021
Self-Contrastive Learning
This paper proposes a novel contrastive learning framework, coined as Se...
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02/23/2021