38 citations · 56 across the 16 of their papers we have counts for
6 papers · 1 filter
Investigating the Effect of Intraclass Variability in Temporal Ensembling
Siddharth Vohra, Manikandan Ravikiran
Temporal Ensembling is a semi-supervised approach that allows training deep neural network models with a small number of labeled images. In this paper, we present our preliminary s…
Hitachi at SemEval-2020 Task 12: Offensive Language Identification with Noisy Labels using Statistical Sampling and Post-Processing
Manikandan Ravikiran, Amin Ekant Muljibhai, Toshinori Miyoshi +3
In this paper, we present our participation in SemEval-2020 Task-12 Subtask-A (English Language) which focuses on offensive language identification from noisy labels. To this end,…
Finding Black Cat in a Coal Cellar -- Keyphrase Extraction & Keyphrase-Rubric Relationship Classification from Complex Assignments
Manikandan Ravikiran
Diversity in content and open-ended questions are inherent in complex assignments across online graduate programs. The natural scale of these programs poses a variety of challenges…
Key Phrase Classification in Complex Assignments
Manikandan Ravikiran
Complex assignments typically consist of open-ended questions with large and diverse content in the context of both classroom and online graduate programs. With the sheer scale of…
Systematic Review of Approaches to Improve Peer Assessment at Scale
Manikandan Ravikiran
Peer Assessment is a task of analysis and commenting on student's writing by peers, is core of all educational components both in campus and in MOOC's. However, with the sheer scal…
What's happened in MOOC Posts Analysis, Knowledge Tracing and Peer Feedbacks? A Review
Manikandan Ravikiran
Learning Management Systems (LMS) and Educational Data Mining (EDM) are two important parts of online educational environment with the former being a centralised web-based informat…