Can You Label Less by Using Out-of-Domain Data? Active & Transfer
Learning with Few-shot Instructions

Can You Label Less by Using Out-of-Domain Data? Active & Transfer Learning with Few-shot Instructions

21 November 2022

Rafal Kocielnik

Sara Kangaslahti

Shrimai Prabhumoye

Anima Anandkumar

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Papers citing "Can You Label Less by Using Out-of-Domain Data? Active & Transfer Learning with Few-shot Instructions"

6 / 6 papers shown

Title
Self-Anchored Attention Model for Sample-Efficient Classification of Prosocial Text Chat Zhuofang Li Rafal Kocielnik Fereshteh Soltani Penphob Boonyarungsrit A. Anandkumar R. Alvarez 97 1 0 10 Jun 2025
Are Large Language Models a Good Replacement of Taxonomies? Yushi Sun Hao Xin Kai Sun Yongjun Xu Xiao Yang Xin Luna Dong Nan Tang Lei Chen AI4MH 202 22 0 17 Jun 2024
Curriculum-Based Augmented Fourier Domain Adaptation for Robust Medical Image SegmentationIEEE Transactions on Automation Science and Engineering (IEEE TASE), 2023 An-Chi Wang Mobarakol Islam Mengya Xu Hongliang Ren OOD 181 18 0 06 Jun 2023
Active Learning Principles for In-Context Learning with Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Katerina Margatina Timo Schick Nikolaos Aletras Jane Dwivedi-Yu 371 61 0 23 May 2023
Complex QA and language models hybrid architectures, Survey Xavier Daull P. Bellot Emmanuel Bruno Vincent Martin Elisabeth Murisasco ELM 599 17 0 17 Feb 2023
BiasTestGPT: Using ChatGPT for Social Bias Testing of Language Models Rafal Kocielnik Shrimai Prabhumoye Vivian Zhang Roy Jiang R. Alvarez Anima Anandkumar 262 11 0 14 Feb 2023