Meta Feature Modulator for Long-tailed Recognition

no code implementations • 8 Aug 2020 • Renzhen Wang, Kaiqin Hu, Yanwen Zhu, Jun Shu, Qian Zhao, Deyu Meng

We further design a modulator network to guide the generation of the modulation parameters, and such a meta-learner can be readily adapted to train the classification network on other long-tailed datasets.

General Classification Meta-Learning +1

MLR-SNet: Transferable LR Schedules for Heterogeneous Tasks

no code implementations • 29 Jul 2020 • Jun Shu, Yanwen Zhu, Qian Zhao, Zongben Xu, Deyu Meng

Meanwhile, it always needs to search proper LR schedules from scratch for new tasks, which, however, are often largely different with task variations, like data modalities, network architectures, or training data capacities.

text-classification Text Classification