Addressing the Problems of Data Variations, Quality, and Scarcity in Training Deep Neural Networks
Overall, this dissertation provides a unified investigation into data imbalance, data quality, and data scarcity-three core bottlenecks of modern deep learning-and proposes principled solutions that improve robustness, interpretability, and efficiency across both CV and NLP domains.
Jian Sun
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