A Survey on Deep Active Learning: Recent Advances and New Frontiers

A Survey on Deep Active Learning: Recent Advances and New Frontiers

1 May 2024

Weiping Ding

Papers citing "A Survey on Deep Active Learning: Recent Advances and New Frontiers"

11 / 11 papers shown

Title
Filter Images First, Generate Instructions Later: Pre-Instruction Data Selection for Visual Instruction Tuning Bardia Safaei Faizan Siddiqui Jiacong Xu Vishal M. Patel Shao-Yuan Lo VLM 122 0 0 10 Mar 2025
Batch Multi-Fidelity Active Learning with Budget Constraints Shibo Li J. M. Phillips Xin Yu Robert M. Kirby Shandian Zhe 75 15 0 23 Oct 2022
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning Dongmin Park Yooju Shin Jihwan Bang Youngjune Lee Hwanjun Song Jae-Gil Lee 54 24 0 13 Oct 2022
Few-Shot Continual Active Learning by a Robot Ali Ayub C. Fendley CLL 32 29 0 09 Oct 2022
Dataset Pruning: Reducing Training Data by Examining Generalization Influence Shuo Yang Zeke Xie Hanyu Peng Minjing Xu Mingming Sun P. Li DD 144 106 0 19 May 2022
Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets Guy Hacohen Avihu Dekel D. Weinshall 119 116 0 06 Feb 2022
Deep Active Learning by Leveraging Training Dynamics Haonan Wang Wei Huang Ziwei Wu A. Margenot Hanghang Tong Jingrui He AI4CE 27 31 0 16 Oct 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
Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost M. Gao Zizhao Zhang Guo-Ding Yu Sercan Ö. Arik L. Davis Tomas Pfister 153 195 0 16 Oct 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,652 0 05 Dec 2016
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 197 742 0 06 Jun 2015