1 code implementation • 4 Dec 2023 • Razvan Caramalau, Binod Bhattarai, Danail Stoyanov
In this paper, we introduce Active Learning framework in Federated Learning for Target Domain Generalisation, harnessing the strength from both learning paradigms.
1 code implementation • 4 Jan 2023 • Razvan Caramalau, Binod Bhattarai, Danail Stoyanov, Tae-Kyun Kim
We present MoBYv2AL, a novel self-supervised active learning framework for image classification.
1 code implementation • 7 Jun 2021 • Razvan Caramalau, Binod Bhattarai, Tae-Kyun Kim
In this paper, we present a novel pipeline for pool-based Active Learning.
1 code implementation • 1 Oct 2020 • Razvan Caramalau, Binod Bhattarai, Tae-Kyun Kim
We propose a Bayesian approximation to a deep learning architecture for 3D hand pose estimation.
1 code implementation • CVPR 2021 • Razvan Caramalau, Binod Bhattarai, Tae-Kyun Kim
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)