19 citations · 19 across the 3 of their papers we have counts for
5 papers
Misinformed by Visualization: What Do We Learn From Misinformative Visualizations?
Leo Yu-Ho Lo, Ayush Gupta, Kento Shigyo +3
Data visualization is powerful in persuading an audience. However, when it is done poorly or maliciously, a visualization may become misleading or even deceiving. Visualizations gi…
Counting in the 2020s: Binned Representations and Inclusive Performance Measures for Deep Crowd Counting Approaches
Sravya Vardhani Shivapuja, Ashwin Gopinath, Ayush Gupta +2
The data distribution in popular crowd counting datasets is typically heavy tailed and discontinuous. This skew affects all stages within the pipelines of deep crowd counting appro…
Hostility Detection and Covid-19 Fake News Detection in Social Media
Ayush Gupta, Rohan Sukumaran, Kevin John +1
Withtheadventofsocialmedia,therehasbeenanextremely rapid increase in the content shared online. Consequently, the propagation of fake news and hostile messages on social media plat…
Iterative Data Programming for Expanding Text Classification Corpora
Neil Mallinar, Abhishek Shah, Tin Kam Ho +2
Real-world text classification tasks often require many labeled training examples that are expensive to obtain. Recent advancements in machine teaching, specifically the data progr…
Bootstrapping Conversational Agents With Weak Supervision
Neil Mallinar, Abhishek Shah, Rajendra Ugrani +9
Many conversational agents in the market today follow a standard bot development framework which requires training intent classifiers to recognize user input. The need to create a…