Black-box Adaptation of ASR for Accented Speech

1 code implementation • 24 Jun 2020 • Kartik Khandelwal, Preethi Jyothi, Abhijeet Awasthi, Sunita Sarawagi

Accordingly, we propose a novel coupling of an open-source accent-tuned local model with the black-box service where the output from the service guides frame-level inference in the local model.

O-MedAL: Online Active Deep Learning for Medical Image Analysis

1 code implementation • 28 Aug 2019 • Asim Smailagic, Pedro Costa, Alex Gaudio, Kartik Khandelwal, Mostafa Mirshekari, Jonathon Fagert, Devesh Walawalkar, Susu Xu, Adrian Galdran, Pei Zhang, Aurélio Campilho, Hae Young Noh

Our online method enhances performance of its underlying baseline deep network.

Active Learning Diabetic Retinopathy Detection

MedAL: Deep Active Learning Sampling Method for Medical Image Analysis

no code implementations • 25 Sep 2018 • Asim Smailagic, Hae Young Noh, Pedro Costa, Devesh Walawalkar, Kartik Khandelwal, Mostafa Mirshekari, Jonathon Fagert, Adrián Galdrán, Susu Xu

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.

Active Learning Diabetic Retinopathy Detection