ENTITY
Pre-trained models
Pre-trained models
PulseAugur coverage of Pre-trained models — every cluster mentioning Pre-trained models across labs, papers, and developer communities, ranked by signal.
Total · 30d
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2 over 90d
Releases · 30d
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0 over 90d
Papers · 30d
0
2 over 90d
TIER MIX · 90D
TOPICS
RECENT · PAGE 1/1 · 2 TOTAL
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New method tackles knowledge forgetting in incremental learning
Researchers have introduced a novel approach called Non-Forgetting Allocation with Bi-Level Competition (NoFA-BC) to enhance Class-Incremental Learning (CIL) with pre-trained models. This method addresses the issue of k…
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New SoTU method enhances continual learning by tuning sparse orthogonal parameters
Researchers have introduced SoTU, a novel method for continual learning that addresses catastrophic forgetting in pre-trained models. Unlike existing approaches that use additional adapters or prompts, SoTU focuses on m…