2023
Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback
ICCV 2023poster
We propose a method for adapting neural networks to distribution shifts at test-time. In contrast to training-time robustness mechanisms that attempt to anticipate the shift, we create a closed-loop system and make use of test-time feedback signal to adapt a network. We show that this loop can be ef…