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Team_BUDDI at ComMA@ICON: Exploring Individual and Joint Modelling Approaches for Detecting Aggression, Communal Bias and Gender Bias
This paper details our work in identifying aggression alongwith gender and communal bias from code-mixed social-media posts in different Indian languages. In this paper, we explore a novel multi-task learning approach that performs the best across all three tasks. We also explore different joint modelling approaches to understand which approaches work the best and analyze their shortcomings and strengths.
Anand Subramanian
,
Mukesh Reghu
,
Sriram Rajkumar
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Exploring Deep Learning Based Approaches for Endoscopic Artefact Detection and Segmentation
This paper details our submission to the Endoscopic Artefact Detection challenge held as part of EndoCV at ISBI 2020. We experiment with various deep-learning based solutions for artefact detection and segmentation.
Anand Subramanian
,
Koushik Srivatsan
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