Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification

9 September 2019

Papers citing "Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification"

19 / 19 papers shown

Title
LH-Mix: Local Hierarchy Correlation Guided Mixup over Hierarchical Prompt Tuning Fanshuang Kong Richong Zhang Ziqiao Wang 80 0 0 22 Dec 2024
Utilizing Local Hierarchy with Adversarial Training for Hierarchical Text Classification Zihan Wang Peiyi Wang Houfeng Wang 27 1 0 29 Feb 2024
AE-smnsMLC: Multi-Label Classification with Semantic Matching and Negative Label Sampling for Product Attribute Value Extraction Zhongfen Deng Wei-Te Chen Lei Chen Philip S. Yu 13 8 0 11 Oct 2023
Hierarchical Verbalizer for Few-Shot Hierarchical Text Classification Kexi Ji Yixin Lian Jingsheng Gao Baoyuan Wang VLM 27 21 0 26 May 2023
A Multi-Granularity Matching Attention Network for Query Intent Classification in E-commerce Retrieval Chunyuan Yuan Yiming Qiu Mingming Li Haiqing Hu Songlin Wang Sulong Xu 13 7 0 28 Mar 2023
Disentangling Task Relations for Few-shot Text Classification via Self-Supervised Hierarchical Task Clustering Juan Zha Zheng Li Ying Wei Yu Zhang 31 5 0 16 Nov 2022
All Mistakes Are Not Equal: Comprehensive Hierarchy Aware Multi-label Predictions (CHAMP) A. Vaswani Gaurav Aggarwal Praneeth Netrapalli N. Hegde 22 4 0 17 Jun 2022
Exploiting Global and Local Hierarchies for Hierarchical Text Classification Ting Jiang Deqing Wang Leilei Sun Zhongzhi Chen Fuzhen Zhuang Qinghong Yang 13 28 0 05 May 2022
HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification Zihan Wang Peiyi Wang Tianyu Liu Binghuai Lin Yunbo Cao Zhifang Sui Houfeng Wang VLM 11 48 0 28 Apr 2022
Incorporating Hierarchy into Text Encoder: a Contrastive Learning Approach for Hierarchical Text Classification Zihan Wang Peiyi Wang Lianzhe Huang Xin Sun Houfeng Wang AILaw VLM 21 99 0 08 Mar 2022
A Label Dependence-aware Sequence Generation Model for Multi-level Implicit Discourse Relation Recognition Changxing Wu Liuwen Cao Yubin Ge Yang Liu Min Zhang Jinsong Su 34 32 0 22 Dec 2021
Balancing Methods for Multi-label Text Classification with Long-Tailed Class Distribution Yi Huang Buse Giledereli Abdullatif Köksal Arzucan Özgür Elif Özkirimli VLM 39 77 0 10 Sep 2021
ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback Mike Wu Noah D. Goodman Chris Piech Chelsea Finn 35 19 0 23 Jul 2021
Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation Shuai Lin Pan Zhou Xiaodan Liang Jianheng Tang Ruihui Zhao Ziliang Chen Liang Lin MedIm 33 53 0 22 Dec 2020
Hierarchical Metadata-Aware Document Categorization under Weak Supervision Yu Zhang Xiusi Chen Yu Meng Jiawei Han 43 22 0 26 Oct 2020
Few-shot Learning for Multi-label Intent Detection Yutai Hou Y. Lai Yushan Wu Wanxiang Che Ting Liu VLM 21 48 0 11 Oct 2020
Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation Nithin Holla Pushkar Mishra H. Yannakoudakis Ekaterina Shutova 32 28 0 29 Apr 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 389 11,700 0 09 Mar 2017
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 267 13,368 0 25 Aug 2014