Simple-Sampling and Hard-Mixup with Prototypes to Rebalance Contrastive Learning for Text Classification

19 May 2024

Papers citing "Simple-Sampling and Hard-Mixup with Prototypes to Rebalance Contrastive Learning for Text Classification"

7 / 7 papers shown

Title
A Simple Graph Contrastive Learning Framework for Short Text Classification Y. Liu Fausto Giunchiglia Lan Huang Ximing Li Xiaoyue Feng Renchu Guan 39 0 0 17 Jan 2025
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport Y. Liu Fausto Giunchiglia Ximing Li Lan Huang Xiaoyue Feng Renchu Guan OffRL 156 0 0 10 Jan 2025
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 333 11,953 0 04 Mar 2022
Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification Varsha Suresh Desmond C. Ong VLM 66 79 0 12 Sep 2021
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition Boyan Zhou Quan Cui Xiu-Shen Wei Zhao-Min Chen 253 782 0 05 Dec 2019
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 255 13,364 0 25 Aug 2014
SMOTE: Synthetic Minority Over-sampling Technique Nitesh V. Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 163 25,256 0 09 Jun 2011