Prompt-OVD is an efficient and effective framework for open-vocabulary o...
Recently, vision transformers (ViT) have replaced convolutional neural
n...
Although federated learning has made awe-inspiring advances, most studie...
Unlabeled data examples awaiting annotations contain open-set noise
inev...
Understanding temporal dynamics of video is an essential aspect of learn...
Understanding vision and language representations of product content is ...
The great success of machine learning with massive amounts of data comes...
Cross-domain few-shot learning (CD-FSL), where there are few target samp...
Robustness is becoming another important challenge of federated learning...
Learning under a continuously changing data distribution with incorrect
...
Online recommender systems should be always aligned with users' current
...
Cross-domain few-shot learning has drawn increasing attention for handli...
Software 2.0 is a fundamental shift in software engineering where machin...
To counter the challenge associated with noise labels, the learning stra...
Deep learning has achieved remarkable success in numerous domains with h...
Noisy labels are very common in real-world training data, which lead to ...
The performance of deep neural networks is significantly affected by how...
Learning a good distance measure for distance-based classification in ti...