4 accepted papers
Real-world data often exhibit long-tailed distributions with heavy class imbalance, which deteriorates the generalization performance of the classifier. To mitigate this problem, we propose a novel Prototype-based Augmentation framework (ProAug) to address the data scarcity issue by augmenting the f…
The recent successful detection of gravitational waves (GWs) at nanohertz based on pulsar timing arrays has underscored the growing significance of searching for new pulsars, which serve as valuable probes for GWs. However, one of the challenges in this endeavor is the lack of labeled data, which ca…
Despite plenty of efforts focusing on improving the domain adaptation ability (DA) under unsupervised or few-shot semi-supervised settings, recently the solution of active learning started to attract more attention due to its suitability in transferring model in a more practical way with limited ann…
"Imbalanced datasets with long-tailed distribution widely exist in practice, posing great challenges for deep networks on how to handle the biased predictions between head (majority, frequent) classes and tail (minority, rare) classes. Feature space of tail classes learned by deep networks is usuall…