most citedMICK: A Meta-Learning Framework for Few-shot Relation Classification with Small Training Data

17 citations · 26 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2023★ 5 cited

Knowledge Distillation Under Ideal Joint Classifier Assumption

Huayu Li, Xiwen Chen, Gregory Ditzler +2

Knowledge distillation constitutes a potent methodology for condensing substantial neural networks into more compact and efficient counterparts. Within this context, softmax regres…

cs.CL2020★ 4 cited

ST: Small-data Text Style Transfer via Multi-task Meta-Learning

Xiwen Chen, Kenny Q. Zhu

Text style transfer aims to paraphrase a sentence in one style into another style while preserving content. Due to lack of parallel training data, state-of-art methods are unsuperv…

cs.CL2020★ 17 cited

MICK: A Meta-Learning Framework for Few-shot Relation Classification with Small Training Data

Xiaoqing Geng, Xiwen Chen, Kenny Q. Zhu +2

Few-shot relation classification seeks to classify incoming query instances after meeting only few support instances. This ability is gained by training with large amount of in-dom…