research
∙
05/24/2023
PESCO: Prompt-enhanced Self Contrastive Learning for Zero-shot Text Classification
We present PESCO, a novel contrastive learning framework that substantia...
share
research
∙
04/24/2023
Generation-driven Contrastive Self-training for Zero-shot Text Classification with Instruction-tuned GPT
Moreover, GPT-based zero-shot classification models tend to make indepen...
research
∙
04/02/2022
Long-tailed Extreme Multi-label Text Classification with Generated Pseudo Label Descriptions
Extreme Multi-label Text Classification (XMTC) has been a tough challeng...
research
∙
04/02/2022
Exploiting Local and Global Features in Transformer-based Extreme Multi-label Text Classification
Extreme multi-label text classification (XMTC) is the task of tagging ea...
research
∙
06/12/2020
Generalized Multi-Relational Graph Convolution Network
Graph Convolutional Networks (GCNs) have received increasing attention i...
research
∙
04/24/2020
Explainable Unsupervised Change-point Detection via Graph Neural Networks
Change-point detection (CPD) aims at detecting the abrupt property chang...
research
∙
11/17/2019