ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2406.09206
  4. Cited By
Self-Training for Sample-Efficient Active Learning for Text
  Classification with Pre-Trained Language Models

Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models

13 June 2024
Christopher Schröder
Gerhard Heyer
    VLM
ArXivPDFHTML

Papers citing "Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models"

6 / 6 papers shown
Title
Distilling Step-by-Step! Outperforming Larger Language Models with Less
  Training Data and Smaller Model Sizes
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes
Lokesh Nagalapatti
Chun-Liang Li
Chih-Kuan Yeh
Hootan Nakhost
Yasuhisa Fujii
Alexander Ratner
Ranjay Krishna
Chen-Yu Lee
Tomas Pfister
ALM
206
498
0
03 May 2023
SAT: Improving Semi-Supervised Text Classification with Simple
  Instance-Adaptive Self-Training
SAT: Improving Semi-Supervised Text Classification with Simple Instance-Adaptive Self-Training
Hui Chen
Wei Han
Soujanya Poria
23
13
0
23 Oct 2022
Efficient Few-Shot Learning Without Prompts
Efficient Few-Shot Learning Without Prompts
Lewis Tunstall
Nils Reimers
Unso Eun Seo Jo
Luke Bates
Daniel Korat
Moshe Wasserblat
Oren Pereg
VLM
26
181
0
22 Sep 2022
STraTA: Self-Training with Task Augmentation for Better Few-shot
  Learning
STraTA: Self-Training with Task Augmentation for Better Few-shot Learning
Tu Vu
Minh-Thang Luong
Quoc V. Le
Grady Simon
Mohit Iyyer
115
60
0
13 Sep 2021
Cold-start Active Learning through Self-supervised Language Modeling
Cold-start Active Learning through Self-supervised Language Modeling
Michelle Yuan
Hsuan-Tien Lin
Jordan L. Boyd-Graber
104
180
0
19 Oct 2020
Contrastive Representation Learning: A Framework and Review
Contrastive Representation Learning: A Framework and Review
Phúc H. Lê Khắc
Graham Healy
A. Smeaton
SSL
AI4TS
164
678
0
10 Oct 2020
1