Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification

12 September 2021

Papers citing "Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification"

6 / 6 papers shown

Title
The Skipped Beat: A Study of Sociopragmatic Understanding in LLMs for 64 Languages Chiyu Zhang Khai Duy Doan Qisheng Liao Muhammad Abdul-Mageed 13 6 0 23 Oct 2023
CPL: Counterfactual Prompt Learning for Vision and Language Models Xuehai He Diji Yang Weixi Feng Tsu-jui Fu Arjun Reddy Akula Varun Jampani P. Narayana Sugato Basu William Yang Wang X. Wang VPVLM VLM 31 15 0 19 Oct 2022
CL-XABSA: Contrastive Learning for Cross-lingual Aspect-based Sentiment Analysis Nankai Lin Yingwen Fu Xiaotian Lin Aimin Yang Shengyi Jiang 19 16 0 02 Apr 2022
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining Yu Meng Chenyan Xiong Payal Bajaj Saurabh Tiwary Paul N. Bennett Jiawei Han Xia Song 111 201 0 16 Feb 2021
Contrastive Representation Learning: A Framework and Review Phúc H. Lê Khắc Graham Healy A. Smeaton SSL AI4TS 146 670 0 10 Oct 2020
Combating noisy labels by agreement: A joint training method with co-regularization Hongxin Wei Lei Feng Xiangyu Chen Bo An NoLa 297 488 0 05 Mar 2020