Multi-task Active Learning for Pre-trained Transformer-based Models

10 August 2022

Papers citing "Multi-task Active Learning for Pre-trained Transformer-based Models"

10 / 10 papers shown

Title
Balancing Accuracy, Calibration, and Efficiency in Active Learning with Vision Transformers Under Label Noise Moseli Motsóehli Hope Mogale Kyungim Baek 38 0 0 07 May 2025
Assistive Image Annotation Systems with Deep Learning and Natural Language Capabilities: A Review Moseli Motsóehli VLM 3DV 32 0 0 28 Jun 2024
EASE: An Easily-Customized Annotation System Powered by Efficiency Enhancement Mechanisms Naihao Deng Yikai Liu Mingye Chen Winston Wu Siyang Liu Yulong Chen Yue Zhang Rada Mihalcea 34 0 0 23 May 2023
Active Prompting with Chain-of-Thought for Large Language Models Shizhe Diao Pengcheng Wang Yong Lin Tong Zhang ReLM KELM LLMAG LRM 31 121 0 23 Feb 2023
Semi-Automated Construction of Food Composition Knowledge Base Jason Youn Fangzhou Li I. Tagkopoulos 39 0 0 24 Jan 2023
MEAL: Stable and Active Learning for Few-Shot Prompting Abdullatif Köksal Timo Schick Hinrich Schütze 27 25 0 15 Nov 2022
A Survey of Active Learning for Natural Language Processing Zhisong Zhang Emma Strubell Eduard H. Hovy LM&MA 33 65 0 18 Oct 2022
Calibration of Pre-trained Transformers Shrey Desai Greg Durrett UQLM 243 290 0 17 Mar 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 299 6,984 0 20 Apr 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015