Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.
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Updated
Jun 5, 2024 - Python
Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.
[MedIA] Paper list and source code for survey "A comprehensive survey on deep active learning in medical image analysis"
Code accompanying EMNLP 2020 paper "Cold-start Active Learning through Self-supervised Language Modeling".
Official codebase for "Overcoming Overconfidence for Active Learning." IEEE Access (2024)
Code base for actively eliciting expensive/ cumbersome features of the most informative data instance. (IJCAI 2018)
When Active Learning and Data Augmentation meet at Object Detection
The code in this repository makes it possible to reproduce the results of my master thesis "Evaluation of the performance of neural network models and classical models in the context of Active Learning for Systematic Reviewing"
I built a data labaling platform with active learing and human feedback in the loop.
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