In an exact-fit linear regime with i.i.d. tasks from distribution Π, forgetting obeys a recursive spectral operator whose asymptotic convergence rate is governed by geometric properties of Π.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.LG 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
BiCyc aligns old and new class representations bidirectionally with cycle consistency to preserve classification decisions and mitigate forgetting in exemplar-free continual learning.
citing papers explorer
-
From Order to Distribution: A Spectral Characterization of Forgetting in Continual Learning
In an exact-fit linear regime with i.i.d. tasks from distribution Π, forgetting obeys a recursive spectral operator whose asymptotic convergence rate is governed by geometric properties of Π.
-
Two-Way Is Better Than One: Bidirectional Alignment with Cycle Consistency for Exemplar-Free Class-Incremental Learning
BiCyc aligns old and new class representations bidirectionally with cycle consistency to preserve classification decisions and mitigate forgetting in exemplar-free continual learning.