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06/16/2023
Parameter-efficient is not sufficient: Exploring Parameter, Memory, and Time Efficient Adapter Tuning for Dense Predictions
Pre-training fine-tuning is a prevalent paradigm in computer vision ...
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06/13/2023
Time-aware Graph Structure Learning via Sequence Prediction on Temporal Graphs
Temporal Graph Learning, which aims to model the time-evolving nature of...
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04/19/2023
AdapterGNN: Efficient Delta Tuning Improves Generalization Ability in Graph Neural Networks
Fine-tuning pre-trained models has recently yielded remarkable performan...
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07/19/2021
