ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification

16 May 2023

Papers citing "ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification"

8 / 8 papers shown

Title
Is Contrasting All You Need? Contrastive Learning for the Detection and Attribution of AI-generated Text Lucio La Cava Davide Costa Andrea Tagarelli DeLMO 35 2 0 12 Jul 2024
Heterogeneous Contrastive Learning for Foundation Models and Beyond Lecheng Zheng Baoyu Jing Zihao Li Hanghang Tong Jingrui He VLM 24 18 0 30 Mar 2024
Multi-Level Contrastive Learning for Few-Shot Problems Qing Chen Jian Zhang 23 5 0 15 Jul 2021
Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning Yizhao Gao Nanyi Fei Guangzhen Liu Zhiwu Lu Tao Xiang Songfang Huang 50 35 0 23 Jan 2021
Free Lunch for Few-shot Learning: Distribution Calibration Shuo Yang Lu Liu Min Xu OODD 199 316 0 16 Jan 2021
Efficient Intent Detection with Dual Sentence Encoders I. Casanueva Tadas Temvcinas D. Gerz Matthew Henderson Ivan Vulić VLM 167 444 0 10 Mar 2020
Cross Attention Network for Few-shot Classification Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 202 627 0 17 Oct 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,568 0 09 Mar 2017