Nov 21, 2023 � The authors present the CLA-RA framework, an active learning approach to selecting instances to be labeled and the annotators who will label�...
Jul 7, 2024 � In this paper, we propose a novel framework CLA-RA to optimize the labeling process by determining what to label next and assigning tasks to the most suitable�...
In this paper, we propose a novel framework CLA-RA to optimize the labeling process by determining what to label next and assigning tasks to the most suitable�...
Obtaining diverse and high-quality labeled data for training efficient classifiers re- mains a practical challenge. Crowdsourcing, which involves employing�...
Sep 21, 2024 � Request PDF | On Jul 7, 2024, Oishik Chatterjee and others published CLA-RA: Collaborative Active Learning Amidst Relabeling Ambiguity�...
Abstract—Obtaining diverse and high-quality labeled data for training efficient classifiers remains a practical challenge.
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Publications ; CLA-RA: Collaborative Active Learning Amidst Relabeling Ambiguity � Oishik Chatterjee; Kaizer Rahaman ; Efficient Incident Summarization in ITOps:�...
Active learning methods are used to improve the classification accuracy when little labeled data is available. Most traditional active learning methods pose�...
CLA-RA: Collaborative Active Learning Amidst Relabeling Ambiguity � A brief introduction to weakly supervised learning � Dynamic Mode Decomposition based feature�...
CLA-RA: Collaborative Active Learning Amidst Relabeling Ambiguity. Conference Paper. Jul 2024. Oishik Chatterjee � Kaizer Rahaman � Pooja Aggarwal.