Rethinking deep active learning: Using unlabeled data at model training

Rethinking deep active learning: Using unlabeled data at model training

19 November 2019

Oriane Siméoni

Yannis Avrithis

Papers citing "Rethinking deep active learning: Using unlabeled data at model training"

15 / 15 papers shown

Title
Efficient Data Selection for Training Genomic Perturbation Models G. Panagopoulos J. Lutzeyer Sofiane Ennadir Michalis Vazirgiannis Jun Pang 147 0 0 18 Mar 2025
CALICO: Confident Active Learning with Integrated Calibration L. S. Querol Hajime Nagahara Hideaki Hayashi 23 0 0 02 Jul 2024
Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models Christopher Schröder Gerhard Heyer VLM 44 0 0 13 Jun 2024
Monocular 3D Object Detection with LiDAR Guided Semi Supervised Active Learning A. Hekimoglu Michael Schmidt Alvaro Marcos-Ramiro 3DPC 21 10 0 17 Jul 2023
Training Ensembles with Inliers and Outliers for Semi-supervised Active Learning Vladan Stojnić Zakaria Laskar Giorgos Tolias 31 0 0 07 Jul 2023
Improving Semi-supervised Deep Learning by using Automatic Thresholding to Deal with Out of Distribution Data for COVID-19 Detection using Chest X-ray Images Isaac Benavides-Mata Saul Calderon-Ramirez 13 3 0 03 Nov 2022
cRedAnno+: Annotation Exploitation in Self-Explanatory Lung Nodule Diagnosis Jiahao Lu Chong Yin Kenny Erleben M. B. Nielsen S. Darkner 22 1 0 28 Oct 2022
$Warm Start Active Learning with Proxy Labels \& Selection via Semi-Supervised Fine-Tuning$ Warm Start Active Learning with Proxy Labels \& Selection via Semi-Supervised Fine-Tuning V. Nath Dong Yang H. Roth Daguang Xu 36 25 0 13 Sep 2022
Annotation Cost Reduction of Stream-based Active Learning by Automated Weak Labeling using a Robot Arm Kanata Suzuki Taro Sunagawa Tomotake Sasaki Takashi Katoh 13 3 0 03 Oct 2021
Multi-Domain Active Learning: Literature Review and Comparative Study Ruidan He Shengcai Liu Shan He Ke Tang OOD 19 14 0 25 Jun 2021
Not All Labels Are Equal: Rationalizing The Labeling Costs for Training Object Detection Ismail Elezi Zhiding Yu Anima Anandkumar Laura Leal-Taixe J. Álvarez ObjD 16 39 0 22 Jun 2021
Low Budget Active Learning via Wasserstein Distance: An Integer Programming Approach Rafid Mahmood Sanja Fidler M. Law 14 37 0 05 Jun 2021
On Initial Pools for Deep Active Learning Akshay L Chandra Sai Vikas Desai Chaitanya Devaguptapu V. Balasubramanian 19 19 0 30 Nov 2020
Adversarial Representation Active Learning A. Mottaghi Serena Yeung VLM GAN 17 29 0 20 Dec 2019
Parting with Illusions about Deep Active Learning Sudhanshu Mittal Maxim Tatarchenko Özgün Çiçek Thomas Brox VLM 19 59 0 11 Dec 2019