Sparse Tuning Enhances Plasticity in PTM-based Continual Learning
PositiveArtificial Intelligence
- The introduction of Mutual Information
- This development is crucial as it addresses the limitations of existing methods that often freeze PTMs, leading to suboptimal performance in dynamic environments. MIST's approach promises to improve task
- Although no directly related articles were identified, the themes of parameter efficiency and adaptability resonate with ongoing discussions in AI research, emphasizing the need for innovative methods that balance performance and model integrity.
— via World Pulse Now AI Editorial System