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Active Transfer Learning with PyTorch - Manning
In Defense of Core-set: A Density-aware Core-set Selection for Active Learning | Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Active Learning with PyTorch. Building Uncertainty Sampling… | by Robert (Munro) Monarch | PyTorch | Medium
Active Learning in Data Mining - GeeksforGeeks
active-learning-module · GitHub Topics · GitHub
Active learning made simple using Flash and BaaL | by PyTorch Lightning team | PyTorch Lightning Developer Blog
Active Transfer Learning with PyTorch - Manning
Human-in-the-Loop Machine Learning: Active learning and annotation for human-centered AI: Monarch, Robert (Munro): 9781617296741: Amazon.com: Books
Dual Adversarial Network for Deep Active Learning
Active Learning in Machine Learning [Full Guide] | Encord
Active Learning with PyTorch. Building Uncertainty Sampling… | by Robert (Munro) Monarch | PyTorch | Medium
Active Learning Overview: Strategies and Uncertainty Measures | by Zakarya ROUZKI | Towards Data Science
Active Learning for Object detection and Human Pose estimation | SuperAnnotate
Active Learning In Machine Learning [How To In Python & PyTorch]
Active Learning for Semantic Segmentation | SuperAnnotate
Active Transfer Learning with PyTorch | by Robert (Munro) Monarch | PyTorch | Medium
GitHub - pietrolesci/energizer: An active learning library for Pytorch based on Pytorch-Lightning.
PyTorch Tutorials: Teaching AI How to Play Flappy Bird | Toptal®
Tutorial of Active Learning Algorithms for Deep Learning - YouTube
Active Learning with PyTorch. Building Uncertainty Sampling… | by Robert (Munro) Monarch | PyTorch | Medium
Active Learning and Transfer Learning by Lukas Biewald - YouTube
Active Learning with PyTorch. Building Uncertainty Sampling… | by Robert (Munro) Monarch | PyTorch | Medium
Active Transfer Learning with PyTorch - Manning
GitHub - isalirezag/EquAL: Importance of Self-Consistency in Active Learning for Semantic Segmentation (BMVC 2020)
Diagnostics | Free Full-Text | Deep Active Learning for Automatic Segmentation of Maxillary Sinus Lesions Using a Convolutional Neural Network
Active learning made simple using Flash and BaaL | by PyTorch Lightning team | PyTorch Lightning Developer Blog
Towards Robust and Reproducible Active Learning Using Neural Networks | Papers With Code
Using Active Learning to Develop Machine Learning Models for Reaction Yield Prediction - Viet Johansson - 2022 - Molecular Informatics - Wiley Online Library