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Intrinsic-Extrinsic Coupling in Learning Dynamics

Paper recorded by Signals 4 on 2026-09-24 in cs.LG. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-24 on arXiv · recorded by Signals 4 on 2026-09-25

Category: cs.LG · 机器学习 · first seen 2026-09-25

Abstract

A learner's current observations need not determine its response to further training. We formulate intrinsic-extrinsic coupling through the continuation-conditioned value of a constrained learning-state intervention, with observation-relative fibers describing present agreement. An executable finite-frame classifier-head write protects current logits while repairing specified historical margins un

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#7 most recent of 293 cs.LG papers we have recorded · ↑ newer: Beyond Compression: Training Latent Representations for Stable Long-Ho · ↓ older: GridSFM: A Foundation Model for Solving AC Optimal Power Flow
Cite this page: Intrinsic-Extrinsic Coupling in Learning Dynamics: the #7 most recent of 293 cs.LG papers we have recorded (as of 2026-09-24). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/intrinsic-extrinsic-coupling-in-learning-dynamics.html
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