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2012.10467
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Minimax Active Learning
18 December 2020
Sayna Ebrahimi
William Gan
Dian Chen
Giscard Biamby
Kamyar Salahi
Michael Laielli
Shizhan Zhu
Trevor Darrell
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Papers citing
"Minimax Active Learning"
18 / 18 papers shown
Active Learning with Task-Driven Representations for Messy Pools
Kianoosh Ashouritaklimi
Tom Rainforth
SSL
CLL
398
0
0
29 Oct 2025
ADROIT: A Self-Supervised Framework for Learning Robust Representations for Active Learning
S. Banerjee
Vinay Kumar Verma
SSL
314
0
0
10 Mar 2025
Making Better Use of Unlabelled Data in Bayesian Active Learning
Freddie Bickford-Smith
Adam Foster
Tom Rainforth
268
7
0
26 Apr 2024
Active Learning for Object Detection with Non-Redundant Informative Sampling
A. Hekimoglu
A. Brucker
A. Kayalı
Michael Schmidt
Alvaro Marcos-Ramiro
145
3
0
17 Jul 2023
Training Ensembles with Inliers and Outliers for Semi-supervised Active Learning
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Vladan Stojnić
Zakaria Laskar
Giorgos Tolias
258
3
0
07 Jul 2023
An Informative Path Planning Framework for Active Learning in UAV-based Semantic Mapping
IEEE Transactions on robotics (TRO), 2023
Julius Ruckin
Federico Magistri
C. Stachniss
Marija Popović
217
26
0
07 Feb 2023
MUS-CDB: Mixed Uncertainty Sampling with Class Distribution Balancing for Active Annotation in Aerial Object Detection
IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2022
Dong Liang
Jingwei Zhang
Ying-Peng Tang
Sheng-Jun Huang
340
21
0
06 Dec 2022
Knowledge-Aware Federated Active Learning with Non-IID Data
IEEE International Conference on Computer Vision (ICCV), 2022
Yu Cao
Ye-ling Shi
Baosheng Yu
Jingya Wang
Dacheng Tao
FedML
393
23
0
24 Nov 2022
Semantic Segmentation with Active Semi-Supervised Representation Learning
British Machine Vision Conference (BMVC), 2022
Aneesh Rangnekar
Christopher Kanan
Matthew Hoffman
185
6
0
16 Oct 2022
Deep Active Ensemble Sampling For Image Classification
Asian Conference on Computer Vision (ACCV), 2022
S. Mohamadi
Gianfranco Doretto
Donald Adjeroh
UQCV
181
9
0
11 Oct 2022
Active Learning Strategies for Weakly-supervised Object Detection
European Conference on Computer Vision (ECCV), 2022
Huy V. Vo
Oriane Siméoni
Spyros Gidaris
Andrei Bursuc
Patrick Pérez
Jean Ponce
288
22
0
25 Jul 2022
BayesFormer: Transformer with Uncertainty Estimation
Karthik Abinav Sankararaman
Sinong Wang
Han Fang
UQCV
BDL
239
19
0
02 Jun 2022
Minimax Optimization: The Case of Convex-Submodular
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Arman Adibi
Aryan Mokhtari
Hamed Hassani
144
8
0
01 Nov 2021
A Simple Baseline for Low-Budget Active Learning
Kossar Pourahmadi
Parsa Nooralinejad
Hamed Pirsiavash
229
21
0
22 Oct 2021
Region-level Active Detector Learning
Michael Laielli
Giscard Biamby
Dian Chen
Ritwik Gupta
Adam Loeffler
P. Nguyen
R. Luo
Trevor Darrell
Sayna Ebrahimi
ObjD
140
3
0
20 Aug 2021
Multi-Domain Active Learning: Literature Review and Comparative Study
Ruidan He
Shengcai Liu
Shan He
Ke Tang
OOD
303
16
0
25 Jun 2021
Low-Regret Active learning
Cenk Baykal
Lucas Liebenwein
Dan Feldman
Daniela Rus
UQCV
266
4
0
06 Apr 2021
Adversarial Discriminative Domain Adaptation
Computer Vision and Pattern Recognition (CVPR), 2017
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GAN
OOD
1.0K
5,034
0
17 Feb 2017
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