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SwitchLight: Co-design of Physics-driven Architecture and Pre-training Framework for Human Portrait Relighting
We introduce a co-designed approach for human portrait relighting that combines a physics-guided architecture with a pre-training framework.
Automatic Pronunciation Assessment using Self-Supervised Speech Representation Learning
Self-supervised learning (SSL) approaches such as wav2vec 2. 0 and HuBERT models have shown promising results in various downstream tasks in the speech community.
Simulated+Unsupervised Learning With Adaptive Data Generation and Bidirectional Mappings
Recently, Shrivastava et al. (2017) propose Simulated+Unsupervised (S+U) learning: It first learns a mapping from synthetic data to real data, translates a large amount of labeled synthetic data to the ones that resemble real data, and then trains a learning model on the translated data.
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