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Single Shot Active Learning using Pseudo Annotators

Single Shot Active Learning using Pseudo Annotators

17 May 2018
Yazhou Yang
Marco Loog
    VLM
ArXiv (abs)PDFHTML

Papers citing "Single Shot Active Learning using Pseudo Annotators"

7 / 7 papers shown
Batch Active Learning of Reward Functions from Human Preferences
Batch Active Learning of Reward Functions from Human Preferences
Erdem Biyik
Nima Anari
Dorsa Sadigh
326
15
0
24 Feb 2024
Batch Active Learning from the Perspective of Sparse Approximation
Batch Active Learning from the Perspective of Sparse Approximation
Maohao Shen
Bowen Jiang
Jacky Y. Zhang
Oluwasanmi Koyejo
203
3
0
01 Nov 2022
A Survey of Dataset Refinement for Problems in Computer Vision Datasets
A Survey of Dataset Refinement for Problems in Computer Vision DatasetsACM Computing Surveys (ACM CSUR), 2022
Zhijing Wan
Zhixiang Wang
CheukTing Chung
Zheng Wang
349
16
0
21 Oct 2022
Deep Active Learning with Budget Annotation
Deep Active Learning with Budget AnnotationEAI International Conference on ICT for Development for Africa (ICT4D), 2022
P. Gikunda
101
0
0
31 Jul 2022
MedSelect: Selective Labeling for Medical Image Classification Combining
  Meta-Learning with Deep Reinforcement Learning
MedSelect: Selective Labeling for Medical Image Classification Combining Meta-Learning with Deep Reinforcement Learning
Akshay Smit
Damir Vrabac
Yujie He
A. Ng
Andrew L. Beam
Pranav Rajpurkar
172
7
0
26 Mar 2021
Experimental Design for Overparameterized Learning with Application to
  Single Shot Deep Active Learning
Experimental Design for Overparameterized Learning with Application to Single Shot Deep Active LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
N. Shoham
H. Avron
BDL
212
13
0
27 Sep 2020
Batch Active Preference-Based Learning of Reward Functions
Batch Active Preference-Based Learning of Reward Functions
Erdem Biyik
Dorsa Sadigh
288
129
0
10 Oct 2018
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