A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is
To tackle FDS, this paper proposes a Bayesian learning framework of Variational Foresight Dynamic Selection (VFDS). ... We apply VFDS on the Human Activity Recognition (HAR) task where the performance-cost trade-off is critical in its practice. ... Qian has been supported in part by the National Science Foundation (NSF) Awards 1553281, 1812641, 1835690, 1934904, and 2119103. ...arXiv:2204.00130v1 fatcat:hxbkpr33ojdhtakfscefoqkih4
By interpreting dynamically growing neural networks as a Bayesian approximation, and defining flexible implicit variational distributions, VariGrow detects if a new task is arriving through an energy-based ... This paper proposes a variational architecture growing framework dubbed VariGrow. ... Acknowledgments This project is supported in part by the Defense Advanced Research Projects Agency (DARPA) under grant FA8750-18-2-0027. X. ...dblp:conf/icml/ArdywibowoHWMHQ22 fatcat:rb3gq3zxe5gd7oq7jlsdmoit2e