-
SQuINTing at VQA Models: Interrogating VQA Models with Sub-Questions
Existing VQA datasets contain questions with varying levels of complexit...
01/20/2020 ∙ by Ramprasaath R. Selvaraju, et al. ∙
44
∙
share
read it
-
Metareasoning in Modular Software Systems: On-the-Fly Configuration using Reinforcement Learning with Rich Contextual Representations
Assemblies of modular subsystems are being pressed into service to perfo...
05/12/2019 ∙ by Aditya Modi, et al. ∙
17
∙
share
read it
-
Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure
As machine learning systems move from computer-science laboratories into...
09/19/2018 ∙ by Besmira Nushi, et al. ∙
12
∙
share
read it
-
A Case for Backward Compatibility for Human-AI Teams
AI systems are being deployed to support human decision making in high-s...
06/04/2019 ∙ by Gagan Bansal, et al. ∙
3
∙
share
read it
-
What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring
Although systematic biases in decision-making are widely documented, the...
09/08/2019 ∙ by Andi Peng, et al. ∙
0
∙
share
read it
