Meta-Learning Adversarial Domain Adaptation Network for Few-Shot Text Classification

26 July 2021

Papers citing "Meta-Learning Adversarial Domain Adaptation Network for Few-Shot Text Classification"

6 / 6 papers shown

Title
Improving Few-shot Generalization of Safety Classifiers via Data Augmented Parameter-Efficient Fine-Tuning Ananth Balashankar Xiao Ma Aradhana Sinha Ahmad Beirami Yao Qin Jilin Chen Alex Beutel 24 2 0 25 Oct 2023
CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation Philipp Borchert Jochen De Weerdt Kristof Coussement Arno De Caigny Marie-Francine Moens 26 1 0 18 Oct 2023
Model-Agnostic Meta-Learning for Multilingual Hate Speech Detection Rabiul Awal Roy Ka-Wei Lee Eshaan Tanwar Tanmay Garg Tanmoy Chakraborty 24 26 0 04 Mar 2023
A Simple Meta-learning Paradigm for Zero-shot Intent Classification with Mixture Attention Mechanism Han Liu Siyang Zhao Xiaotong Zhang Feng Zhang Ju Sun Hong Yu Xianchao Zhang VLM 34 11 0 05 Jun 2022
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 202 498 0 11 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 353 11,684 0 09 Mar 2017