38 citations · 49 across the 2 of their papers we have counts for
3 papers
A Computational Model of Early Word Learning from the Infant's Point of View
Satoshi Tsutsui, Arjun Chandrasekaran, Md Alimoor Reza +2
Human infants have the remarkable ability to learn the associations between object names and visual objects from inherently ambiguous experiences. Researchers in cognitive science…
Do Explanations make VQA Models more Predictable to a Human?
Arjun Chandrasekaran, Viraj Prabhu, Deshraj Yadav +2
A rich line of research attempts to make deep neural networks more transparent by generating human-interpretable 'explanations' of their decision process, especially for interactiv…
Evaluating Visual Conversational Agents via Cooperative Human-AI Games
Prithvijit Chattopadhyay, Deshraj Yadav, Viraj Prabhu +5
As AI continues to advance, human-AI teams are inevitable. However, progress in AI is routinely measured in isolation, without a human in the loop. It is crucial to benchmark progr…