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Found 2 papers, 1 papers with code
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
We design each adapter module to consist of an adapter and a representation descriptor, specifically, implemented as an autoencoder.
Learning with Mixture of Prototypes for Out-of-Distribution Detection
To tackle these issues, we propose PrototypicAl Learning with a Mixture of prototypes (PALM) which models each class with multiple prototypes to capture the sample diversities, and learns more faithful and compact samples embeddings to enhance OOD detection.
Out-of-Distribution Detection
Out of Distribution (OOD) Detection
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