49 citations · 53 across the 3 of their papers we have counts for
3 papers
Monte Carlo DropBlock for Modelling Uncertainty in Object Detection
Kumari Deepshikha, Sai Harsha Yelleni, P. K. Srijith +1
With the advancements made in deep learning, computer vision problems like object detection and segmentation have seen a great improvement in performance. However, in many real-wor…
ZmBART: An Unsupervised Cross-lingual Transfer Framework for Language Generation
Kaushal Kumar Maurya, Maunendra Sankar Desarkar, Yoshinobu Kano +1
Despite the recent advancement in NLP research, cross-lingual transfer for natural language generation is relatively understudied. In this work, we transfer supervision from high r…
Removing Class Imbalance using Polarity-GAN: An Uncertainty Sampling Approach
Kumari Deepshikha, Anugunj Naman
Class imbalance is a challenging issue in practical classification problems for deep learning models as well as for traditional models. Traditionally successful countermeasures suc…