LCA: Local Classifier Alignment for Continual Learning | ScienceToStartup | ScienceToStartup

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References (44)

[1]

When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers

2025Hongkang Li, Yihua Zhang et al.

[2]

Boosting Multiple Views for pretrained-based Continual Learning

2025Quyen Tran, T. Tran et al.

[3]

MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning

Founder's Pitch

"LCA introduces a novel loss function to enhance classifier alignment in continual learning, mitigating catastrophic forgetting."

Continual Learning•Score: 7•View PDF ↗

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LCA: Local Classifier Alignment for Continual Learning

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References (44)

Founder's Pitch

"LCA introduces a novel loss function to enhance classifier alignment in continual learning, mitigating catastrophic forgetting."

Commercial Viability Breakdown

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LCA: Local Classifier Alignment for Continual Learning

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References (44)

Founder's Pitch

"LCA introduces a novel loss function to enhance classifier alignment in continual learning, mitigating catastrophic forgetting."

Commercial Viability Breakdown

Related Papers

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