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Found 5 papers, 1 papers with code
Proximal Mapping for Deep Regularization
Underpinning the success of deep learning is effective regularizations that allow a variety of priors in data to be modeled.
Contrastive Unsupervised Learning for Speech Emotion Recognition
Speech emotion recognition (SER) is a key technology to enable more natural human-machine communication.
Ranked #2 on
Speech Emotion Recognition
on MSP-Podcast (Dominance)
(using extra training data)
3D Iterative Spatiotemporal Filtering for Classification of Multitemporal Satellite Data Sets
The current practice in land cover/land use change analysis relies heavily on the individually classified maps of the multitemporal data set.
Implicit Task-Driven Probability Discrepancy Measure for Unsupervised Domain Adaptation
Probability discrepancy measure is a fundamental construct for numerous machine learning models such as weakly supervised learning and generative modeling.
Fairness Risks for Group-conditionally Missing Demographics
Fairness-aware classification models have gained increasing attention in recent years as concerns grow on discrimination against some demographic groups.
