Reliability-Gated Source Anchoring for Continual Test-Time Adaptation
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arXiv
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| Auteurs principaux: | , , , , , , , , , , |
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| Format: | Preprint |
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2026
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| _version_ | 1866910233976111104 |
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| author | Singh, Vikash Ganguly, Debargha Chen, Weicong Sahoo, Sabyasachi Sankar, Sreehari Zhang, Biyao Hariri, Mohsen Wang, Shouren Zafar, Osama Gagné, Christian Chaudhary, Vipin |
| author_facet | Singh, Vikash Ganguly, Debargha Chen, Weicong Sahoo, Sabyasachi Sankar, Sreehari Zhang, Biyao Hariri, Mohsen Wang, Shouren Zafar, Osama Gagné, Christian Chaudhary, Vipin |
| contents | Continual test-time adaptation (CTTA) updates a pretrained model online on an unlabeled, non-stationary stream while anchoring it to a frozen source checkpoint. This anchor is useful only when the source remains reliable. On CCC-Hard, however, a ResNet-50 source falls to approximately $1.3\%$ top-$1$ accuracy, while existing source-anchored CTTA methods continue applying the same anchor strength. We call this failure mode blind anchoring and propose RMemSafe, a reliability-gated extension of ROID that uses the frozen source's normalized predictive entropy to attenuate all explicit source-coupled uses in the objective. When the source posterior approaches uniformity, the gate closes: the source anchor and agreement filter vanish, and the objective reduces to a source-agnostic fallback comprising ROID's base losses plus marginal calibration. Combined with ASR, RMemSafe achieves the lowest error on $8$ of $9$ matched-split continual-corruption cells and is the best reset-based method on all $9$, improving ROID+ASR by $1.05$~pp on ResNet-50 and $0.48$~pp on ViT-B/16. A controlled source-degradation sweep shows a $1.13{\times}$ shallower harm slope than ROID+ASR, consistent with the graceful-decay prediction. The entropy gate detects high-entropy source collapse, not confidently wrong low-entropy sources; this scope is explicitly evaluated and discussed. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_14063 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Reliability-Gated Source Anchoring for Continual Test-Time Adaptation Singh, Vikash Ganguly, Debargha Chen, Weicong Sahoo, Sabyasachi Sankar, Sreehari Zhang, Biyao Hariri, Mohsen Wang, Shouren Zafar, Osama Gagné, Christian Chaudhary, Vipin Machine Learning Continual test-time adaptation (CTTA) updates a pretrained model online on an unlabeled, non-stationary stream while anchoring it to a frozen source checkpoint. This anchor is useful only when the source remains reliable. On CCC-Hard, however, a ResNet-50 source falls to approximately $1.3\%$ top-$1$ accuracy, while existing source-anchored CTTA methods continue applying the same anchor strength. We call this failure mode blind anchoring and propose RMemSafe, a reliability-gated extension of ROID that uses the frozen source's normalized predictive entropy to attenuate all explicit source-coupled uses in the objective. When the source posterior approaches uniformity, the gate closes: the source anchor and agreement filter vanish, and the objective reduces to a source-agnostic fallback comprising ROID's base losses plus marginal calibration. Combined with ASR, RMemSafe achieves the lowest error on $8$ of $9$ matched-split continual-corruption cells and is the best reset-based method on all $9$, improving ROID+ASR by $1.05$~pp on ResNet-50 and $0.48$~pp on ViT-B/16. A controlled source-degradation sweep shows a $1.13{\times}$ shallower harm slope than ROID+ASR, consistent with the graceful-decay prediction. The entropy gate detects high-entropy source collapse, not confidently wrong low-entropy sources; this scope is explicitly evaluated and discussed. |
| title | Reliability-Gated Source Anchoring for Continual Test-Time Adaptation |
| topic | Machine Learning |
| url | https://arxiv.org/abs/2605.14063 |