76 citations · 86 across the 4 of their papers we have counts for
6 papers
Detecting Spurious Correlations with Sanity Tests for Artificial Intelligence Guided Radiology Systems
Usman Mahmood, Robik Shrestha, David D. B. Bates +4
Artificial intelligence (AI) has been successful at solving numerous problems in machine perception. In radiology, AI systems are rapidly evolving and show progress in guiding trea…
On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law
Damien Teney, Kushal Kafle, Robik Shrestha +3
Out-of-distribution (OOD) testing is increasingly popular for evaluating a machine learning system's ability to generalize beyond the biases of a training set. OOD benchmarks are d…
REMIND Your Neural Network to Prevent Catastrophic Forgetting
Tyler L. Hayes, Kushal Kafle, Robik Shrestha +2
People learn throughout life. However, incrementally updating conventional neural networks leads to catastrophic forgetting. A common remedy is replay, which is inspired by how the…
Answering Questions about Data Visualizations using Efficient Bimodal Fusion
Kushal Kafle, Robik Shrestha, Brian Price +2
Chart question answering (CQA) is a newly proposed visual question answering (VQA) task where an algorithm must answer questions about data visualizations, e.g. bar charts, pie cha…
Challenges and Prospects in Vision and Language Research
Kushal Kafle, Robik Shrestha, Christopher Kanan
Language grounded image understanding tasks have often been proposed as a method for evaluating progress in artificial intelligence. Ideally, these tasks should test a plethora of…
Answer Them All! Toward Universal Visual Question Answering Models
Robik Shrestha, Kushal Kafle, Christopher Kanan
Visual Question Answering (VQA) research is split into two camps: the first focuses on VQA datasets that require natural image understanding and the second focuses on synthetic dat…