11 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Human-Guided Complexity-Controlled Abstractions
Andi Peng, Mycal Tucker, Eoin Kenny +3
Neural networks often learn task-specific latent representations that fail to generalize to novel settings or tasks. Conversely, humans learn discrete representations (i.e., concep…
cs.AI2023
An Information Bottleneck Characterization of the Understanding-Workload Tradeoff
Lindsay Sanneman, Mycal Tucker, Julie Shah
Recent advances in artificial intelligence (AI) have underscored the need for explainable AI (XAI) to support human understanding of AI systems. Consideration of human factors that…
cs.AI2022★ 11 cited
Towards Human-Agent Communication via the Information Bottleneck Principle
Mycal Tucker, Julie Shah, Roger Levy +1
Emergent communication research often focuses on optimizing task-specific utility as a driver for communication. However, human languages appear to evolve under pressure to efficie…