Unlabeled data examples awaiting annotations contain open-set noise
inev...
Online anomaly detection from a data stream is critical for the safety a...
Online recommender systems should be always aligned with users' current
...
Software 2.0 is a fundamental shift in software engineering where machin...
Federated learning has emerged as a new paradigm of collaborative machin...
To counter the challenge associated with noise labels, the learning stra...
Federated learning has emerged as a new paradigm of collaborative machin...
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...
The recent adoption of recurrent neural networks (RNNs) for session mode...