2 papers
cs.CV2026
Few-Shot Domain Incremental Learning via Continual Vision-Language Consolidation
Naeem Paeedeh, Mahardhika Pratama, Wolfgang Mayer +3
Existing domain-incremental learning (DIL) strategies call for massive amounts of data to adapt to new domains and suffer from the overfitting problem in the case of data scarcity.…
cs.NE2024
Efficient Evaluation Methods for Neural Architecture Search: A Survey
Xiaotian Song, Xiangning Xie, Zeqiong Lv +4
Neural Architecture Search (NAS) has received increasing attention because of its exceptional merits in automating the design of Deep Neural Network (DNN) architectures. However, t…