Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers

12 July 2021

Papers citing "Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers"

10 / 10 papers shown

Title
AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets Pietro Lesci Andreas Vlachos 31 2 0 08 Apr 2024
More Samples or More Prompts? Exploring Effective In-Context Sampling for LLM Few-Shot Prompt Engineering Bingsheng Yao Guiming Hardy Chen Ruishi Zou Yuxuan Lu Jiachen Li Shao Zhang Yisi Sang Sijia Liu James A. Hendler Dakuo Wang 35 13 0 16 Nov 2023
Investigating Multi-source Active Learning for Natural Language Inference Ard Snijders Douwe Kiela Katerina Margatina 20 7 0 14 Feb 2023
The Infinite Index: Information Retrieval on Generative Text-To-Image Models Niklas Deckers Maik Frobe Johannes Kiesel G. Pandolfo Christopher Schröder Benno Stein Martin Potthast DiffM 29 16 0 14 Dec 2022
To Softmax, or not to Softmax: that is the question when applying Active Learning for Transformer Models Julius Gonsior C. Falkenberg Silvio Magino Anja Reusch Maik Thiele Wolfgang Lehner UQCV 36 7 0 06 Oct 2022
Small-Text: Active Learning for Text Classification in Python Christopher Schröder Lydia Muller A. Niekler Martin Potthast CLIP VLM AI4CE 31 23 0 21 Jul 2021
Cold-start Active Learning through Self-supervised Language Modeling Michelle Yuan Hsuan-Tien Lin Jordan L. Boyd-Graber 104 180 0 19 Oct 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,652 0 05 Dec 2016
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 250 13,347 0 25 Aug 2014
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 228 31,150 0 16 Jan 2013