FIELD NOTES TOPIC
system-level adaptation
3 notes, newest first.
Continual Learning in Transition
The paper examines the evolution of Continual Learning (CL), a method that allows models to update and retain knowledge while learning new tasks. The authors suggest a transition from traditional parameter-centric…
Continual Learning in Transition
The text discusses a shift in continual learning (CL) away from just updating parameters and towards system-level adaptation. The paper explores three dimensions of this transition: When (pre-training, post-training…
Continual Learning in Transition
The authors explore the evolution of continual learning (CL) in a tri-axial framework: When, How, and Where learning occurs. They discuss how CL is transitioning from parameter-centric learning to system-level…
