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Found 5 papers, 5 papers with code
Federated Active Learning for Target Domain Generalisation
In this paper, we introduce Active Learning framework in Federated Learning for Target Domain Generalisation, harnessing the strength from both learning paradigms.
MoBYv2AL: Self-supervised Active Learning for Image Classification
We present MoBYv2AL, a novel self-supervised active learning framework for image classification.
Visual Transformer for Task-aware Active Learning
In this paper, we present a novel pipeline for pool-based Active Learning.
Active Learning for Bayesian 3D Hand Pose Estimation
We propose a Bayesian approximation to a deep learning architecture for 3D hand pose estimation.
Sequential Graph Convolutional Network for Active Learning
We flip the label of newly queried nodes from unlabelled to labelled, re-train the learner to optimise the downstream task and the graph to minimise its modified objective.
Ranked #4 on
Active Learning
on CIFAR10 (10,000)
