1 code implementation • NeurIPS 2020 • Mao Li, Yingyi Ma, Xinhua Zhang
Underpinning the success of deep learning is effective regularizations that allow a variety of priors in data to be modeled.
no code implementations • 12 Feb 2021 • Mao Li, Bo Yang, Joshua Levy, Andreas Stolcke, Viktor Rozgic, Spyros Matsoukas, Constantinos Papayiannis, Daniel Bone, Chao Wang
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)
no code implementations • 1 Jul 2021 • Hessah Albanwan, Rongjun Qin, Xiaohu Lu, Mao Li, Desheng Liu, Jean-Michel Guldmann
The current practice in land cover/land use change analysis relies heavily on the individually classified maps of the multitemporal data set.
no code implementations • NeurIPS 2021 • Mao Li, Kaiqi Jiang, Xinhua Zhang
Probability discrepancy measure is a fundamental construct for numerous machine learning models such as weakly supervised learning and generative modeling.
no code implementations • 20 Feb 2024 • Kaiqi Jiang, Wenzhe Fan, Mao Li, Xinhua Zhang
Fairness-aware classification models have gained increasing attention in recent years as concerns grow on discrimination against some demographic groups.