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Found 5 papers, 1 papers with code
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.
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.
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.
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)
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.
