3 papers
cs.SD2026
Song Aesthetics Evaluation with Multi-Stem Attention and Hierarchical Uncertainty Modeling
Yishan Lv, Jing Luo, Boyuan Ju +4
Music generative artificial intelligence (AI) is rapidly expanding music content, necessitating automated song aesthetics evaluation. However, existing studies largely focus on spe…
cs.LG2025
Overcoming Growth-Induced Forgetting in Task-Agnostic Continual Learning
Yuqing Zhao, Jiannong Cao, Divya Saxena +4
In continual learning (CL), model growth enhances adaptability to new data. However, when model growth is applied improperly, especially in task-agnostic CL, where the entire grown…
cs.CL2024
PLPP: Prompt Learning with Perplexity Is Self-Distillation for Vision-Language Models
Biao Liu, Wenyi Fang, Xiaoyu Wu +3
Pre-trained Vision-Language (VL) models such as CLIP have demonstrated their excellent performance across numerous downstream tasks. A recent method, Context Optimization (CoOp), f…