2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 2 cited
HIRL: A General Framework for Hierarchical Image Representation Learning
Minghao Xu, Yuanfan Guo, Xuanyu Zhu +5
Learning self-supervised image representations has been broadly studied to boost various visual understanding tasks. Existing methods typically learn a single level of image semant…
cs.SD2022
Exploration strategies for articulatory synthesis of complex syllable onsets
Daniel R. van Niekerk, Anqi Xu, Branislav Gerazov +3
High-quality articulatory speech synthesis has many potential applications in speech science and technology. However, developing appropriate mappings from linguistic specification…
cs.LG2021★ 1 cited
Rethinking Adam: A Twofold Exponential Moving Average Approach
Yizhou Wang, Yue Kang, Can Qin +4
Adaptive gradient methods, e.g. \textsc{Adam}, have achieved tremendous success in machine learning. Scaling the learning rate element-wisely by a certain form of second moment est…