Papers/2610.18879
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Do Vision CIL Methods Transfer to Protein? A Diagnostic Benchmark of Frozen Protein Encoders

Z. Gao, A. Author, B. Author, C. Author, D. Author

CILprotein encodingmachine learningtransfer learning
2610.18879
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Abstract

This paper benchmarks class-incremental learning methods for protein function annotation using frozen protein encoders.

Reality Card

Core Claim

No existing class-incremental learning methods transfer reliably across different protein encoders, highlighting the need for encoder-aware approaches.

Method / Result

Nine CIL methods were evaluated across five protein encoders with no reliable transfer observed.

Limitations

The instability in results is attributed to weak gradient signals and heterogeneity in embedding geometry, which complicates reproducibility.

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