An exploration of curriculum learning and active learning on Google AI's Doodle (Kaggle) Challenge Dataset
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Updated
Dec 14, 2018 - Jupyter Notebook
An exploration of curriculum learning and active learning on Google AI's Doodle (Kaggle) Challenge Dataset
Active learning with tensorflow. Create custom and generic active learning loops. Export and share your experiments.
A Python implementation of Paper "Image Retrieval with Relevance Feedback using SVM Active Learning"
[AAAI 2024] Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees
SATML 2025 | Differentially Private Active Learning | Official Implementation
Marich is a model-agnostic extraction algorithm. It uses a public data to query a private model, aggregates the predicted labels, and construct a distributionall equivalent/max-information leaking extracted model.
A curated list of awesome active learning related topics
This is a repository for CS4ML. It is a general framework for active learning in regression problems. It approximates a target function arising from general types of data, rather than pointwise samples.
A Simulação de Grandezas Geométricas tem o objetivo que o aluno possa explorar as formas geométricas e observar as relações entre suas propriedades e conceitos matemáticos
Files and works related to the Machine Learning Course
Cost-Effective Object Detection: Active Sample Mining with Switchable Selection Criteria
Supplementary material for papers at ECML-PKDD 2021 and IAL 2021
OBEBS method
Active learning; Query by committee; Ensemble averaging; Committee machines; Neural Network Potentials
Implementation for the IJCAI20 paper "Textual Membership Queries"
This repository aims to demonstrate the active learning technique at the machine learning experience meetup
[2024 IEEE TCYB]Source code of an online active learning strategy (DMI-LS)
PyTorch implementation of our paper "Rethinking Deep Active Learning for Medical Image Segmentation: A Diffusion and Angle-based Framework"
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