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Found 3 papers, 1 papers with code
NutePrune: Efficient Progressive Pruning with Numerous Teachers for Large Language Models
Structured pruning, offers an effective means to compress LLMs, thereby reducing storage costs and enhancing inference speed for more efficient utilization.
AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in GNNs
AdapterGNN preserves the knowledge of the large pre-trained model and leverages highly expressive adapters for GNNs, which can adapt to downstream tasks effectively with only a few parameters, while also improving the model's generalization ability.
Hypergraph Learning for Identification of COVID-19 with CT Imaging
The main challenge in early screening is how to model the confusing cases in the COVID-19 and CAP groups, with very similar clinical manifestations and imaging features.
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