2 papers
cs.LG2025
An Analysis of Model Robustness across Concurrent Distribution Shifts
Myeongho Jeon, Suhwan Choi, Hyoje Lee +1
Machine learning models, meticulously optimized for source data, often fail to predict target data when faced with distribution shifts (DSs). Previous benchmarking studies, though…
cs.CV2022
Self-Knowledge Distillation via Dropout
Hyoje Lee, Yeachan Park, Hyun Seo +1
To boost the performance, deep neural networks require deeper or wider network structures that involve massive computational and memory costs. To alleviate this issue, the self-kno…