Algorithm Selection for Deep Active Learning with Imbalanced Datasets

14 February 2023

Papers citing "Algorithm Selection for Deep Active Learning with Imbalanced Datasets"

9 / 9 papers shown

Title
COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Arnav M. Das Gantavya Bhatt Lilly Kumari Sahil Verma J. Bilmes 29 0 0 23 Dec 2024
Deep Active Learning in the Open World Tian Xie Jifan Zhang Haoyue Bai R. Nowak VLM 143 1 0 10 Nov 2024
AutoAL: Automated Active Learning with Differentiable Query Strategy Search Yifeng Wang Xueying Zhan Siyu Huang OOD 38 0 0 17 Oct 2024
AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets Pietro Lesci Andreas Vlachos 35 2 0 08 Apr 2024
Class-Balanced and Reinforced Active Learning on Graphs Chengcheng Yu Jiapeng Zhu Xiang Li 24 1 0 15 Feb 2024
Learning from the Best: Active Learning for Wireless Communications N. Soltani Jifan Zhang Batool Salehi Debashri Roy Rob Nowak Kaushik R. Chowdhury 23 3 0 23 Jan 2024
DIRECT: Deep Active Learning under Imbalance and Label Noise Shyam Nuggehalli Jifan Zhang Lalit P. Jain Robert D. Nowak 26 9 0 14 Dec 2023
How to Select Which Active Learning Strategy is Best Suited for Your Specific Problem and Budget Guy Hacohen D. Weinshall 24 8 0 06 Jun 2023
Deep Active Learning by Leveraging Training Dynamics Haonan Wang Wei Huang Ziwei Wu A. Margenot Hanghang Tong Jingrui He AI4CE 27 33 0 16 Oct 2021