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Found 4 papers, 2 papers with code
MedAL: Deep Active Learning Sampling Method for Medical Image Analysis
Active learning techniques can be used to minimize the number of required training labels while maximizing the model's performance. In this work, we propose a novel sampling method that queries the unlabeled examples that maximize the average distance to all training set examples in a learned feature space.
O-MedAL: Online Active Deep Learning for Medical Image Analysis
Our online method enhances performance of its underlying baseline deep network.
ChainCQG: Flow-Aware Conversational Question Generation
Conversational systems enable numerous valuable applications, and question-answering is an important component underlying many of these.
ConQuest: Contextual Question Paraphrasing through Answer-Aware Synthetic Question Generation
In this paper, we present Conquest, a framework for generating synthetic datasets for contextual question paraphrasing.
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