From the 1 of 6 linked papers with an AI index.
6 papers
AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning
Sarthak Jain, Qiran Hu, Zhen Zhu +1
The paper introduces AlphaWiSE, a post‑hoc weight‑space interpolation technique that combines two frozen checkpoints with learned scalar coefficients to improve continual learning…
AC3S: Adaptive Conditioning for 3D-Aware Synthetic Data Generation
Eric Ji, Qiran Hu, Wufei Ma +4
Synthetic data generation has emerged as a powerful tool for improving data scalability in computer vision. Recent diffusion-based pipelines have demonstrated strong photorealism.…
How to Teach Large Multimodal Models New Skills
Zhen Zhu, Yiming Gong, Yao Xiao +2
How can we teach large multimodal models (LMMs) new skills without erasing prior abilities? We study sequential fine-tuning on five target skills while monitoring general ability o…
Towards Generalized Routing: Model and Agent Orchestration for Adaptive and Efficient Inference
Xiyu Guo, Shan Wang, Chunfang Ji +6
The rapid advancement of large language models (LLMs) and domain-specific AI agents has greatly expanded the ecosystem of AI-powered services. User queries, however, are highly div…
Continual Adversarial Defense
Qian Wang, Hefei Ling, Yingwei Li +3
In response to the rapidly evolving nature of adversarial attacks against visual classifiers, numerous defenses have been proposed to generalize against as many known attacks as po…
Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning
Ruxiao Duan, Jieneng Chen, Adam Kortylewski +2
Replay-based methods in class-incremental learning (CIL) have attained remarkable success. Despite their effectiveness, the inherent memory restriction results in saving a limited…