Introduces (ε,δ)-Recovery Complexity and (ε,ρ)-TTA Learnability with order-wise matching bounds on recovery time for TTA under gradual and abrupt shifts via a discrete surrogate model.
Beyond model adaptation at test time: A survey
7 Pith papers cite this work. Polarity classification is still indexing.
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Introduces Dynamic Style Bridging for forward-facilitation continual test-time adaptation by multi-level style injection on pre-generated class proxies to provide stable on-demand supervision under evolving distribution shifts.
An uncertainty-aware test-time adaptation framework improves cross-region spatio-temporal fusion of land surface temperature by updating only the fusion module guided by epistemic uncertainty, land use consistency, and bias correction.
Combines offline behavioral cloning with online Real-Time Recurrent RL fine-tuning on LrcSSM models to adapt autonomous driving policies to distribution shifts, validated in simulation and on a real 1:10-scale robot with event camera.
Ramen enables robust test-time adaptation of vision-language models under mixed-domain shifts by actively selecting domain-consistent and prediction-balanced samples via an embedding-gradient cache.
Edge AI systems require ongoing adaptation to evolving data and constraints to avoid violating budgets or losing reliability, formalized via an Agent-System-Environment lens that defines ten future research challenges.