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AdvLoRA: Adversarial Low-Rank Adaptation of Vision-Language Models
Different from LoRA, we improve the efficiency and robustness of adversarial adaptation by designing a novel reparameterizing method based on parameter clustering and parameter alignment.
Deep Causal Learning: Representation, Discovery and Inference
Causal learning has attracted much attention in recent years because causality reveals the essential relationship between things and indicates how the world progresses.
Self-adaptive Multi-task Particle Swarm Optimization
In the focus search strategy, if there is no knowledge source benefit the optimization of a task, then all knowledge sources in the task's pool are forbidden to be utilized except the task, which helps to improve the performance of the proposed algorithm.
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