Dynamic Memory Induction Networks for Few-Shot Text Classification

Dynamic Memory Induction Networks for Few-Shot Text Classification

12 May 2020

Papers citing "Dynamic Memory Induction Networks for Few-Shot Text Classification"

10 / 10 papers shown

Title
Joint Input and Output Coordination for Class-Incremental Learning Shuai Wang Yibing Zhan Yong Luo Han Hu Wei Yu Yonggang Wen Dacheng Tao CLL 37 2 0 09 Sep 2024
Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification Menglong Lu Zhen Huang Zhiliang Tian Yunxiang Zhao Xuanyu Fei Dongsheng Li OOD 31 5 0 04 Aug 2023
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks Haoqi Zheng Qihuang Zhong Liang Ding Zhiliang Tian Xin-Yi Niu Dongsheng Li Dacheng Tao VLM 37 6 0 22 May 2023
PromptNER: A Prompting Method for Few-shot Named Entity Recognition via k Nearest Neighbor Search Mozhi Zhang Hang Yan Yaqian Zhou Xipeng Qiu 21 10 0 20 May 2023
Disentangling Task Relations for Few-shot Text Classification via Self-Supervised Hierarchical Task Clustering Juan Zha Zheng Li Ying Wei Yu Zhang 25 5 0 16 Nov 2022
SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition J. Wang Chengcheng Han Chengyu Wang Chuanqi Tan Minghui Qiu Songfang Huang Jun Huang Ming Gao 27 21 0 17 Oct 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 50 344 0 13 May 2022
Knowledge-Aware Meta-learning for Low-Resource Text Classification Huaxiu Yao Yingxin Wu Maruan Al-Shedivat Eric P. Xing VLM CLIP 63 11 0 10 Sep 2021
MCML: A Novel Memory-based Contrastive Meta-Learning Method for Few Shot Slot Tagging Hongru Wang Zezhong Wang Gabriel Pui Cheong Fung Kam-Fai Wong OffRL CLL 27 10 0 26 Aug 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 338 11,684 0 09 Mar 2017