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Affinity Event
Task-Graph and SAC-Based Meta-Learning for Optimized Robotic Task Transfer
Sofanit Wubeshet Beyene · Bizu Melesse Birru
Affinity Event
FeDAG: A DAG Blockchain-Based Hierarchical Federated Transfer Learning for Heterogeneous IoT
Zahra Batool · Kaiwen Zhang · Zhongwen Zhu
Poster
Wed 16:30 Mind the Gap Between Prototypes and Images in Cross-domain Finetuning
Hongduan Tian · Feng Liu · Zhanke Zhou · Tongliang Liu · Chengqi Zhang · Bo Han
Affinity Event
What’s Left After Distillation? How Knowledge Transfer Impacts Fairness and Bias
Aida Mohammadshahi · Yani Ioannou
Poster
Wed 16:30 DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection
Haochen Li · Rui Zhang · Hantao Yao · Xin Zhang · Yifan Hao · Xinkai Song · Xiaqing Li · Yongwei Zhao · Yunji Chen · Ling Li
Poster
Fri 16:30 Understanding the Transferability of Representations via Task-Relatedness
Akshay Mehra · Yunbei Zhang · Jihun Hamm
Affinity Event
Instance weighting-based Knowledge Transfer Network for Seismic Fault Detection
Tiash Ghosh · Mohammed Fayiz Parappan · Mamata Jenamani · AUROBINDA ROUTRAY
Poster
Thu 11:00 Label Alignment Regularization for Distribution Shift
Ehsan Imani · Guojun Zhang · Runjia Li · Jun Luo · Pascal Poupart · Philip Torr · Yangchen Pan
Poster
Wed 16:30 Transferable Adversarial Attacks on SAM and Its Downstream Models
Song Xia · Wenhan Yang · Yi Yu · Xun Lin · Henghui Ding · LINGYU DUAN · Xudong Jiang
Poster
Fri 11:00 PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization
Yao Ni · Shan Zhang · Piotr Koniusz
Poster
Wed 16:30 Diffusion Tuning: Transferring Diffusion Models via Chain of Forgetting
Jincheng Zhong · Xingzhuo Guo · Jiaxiang Dong · Mingsheng Long
Poster
Fri 16:30 QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation
Zhuo Chen · Rumen Dangovski · Charlotte Loh · Owen Dugan · Di Luo · Marin Soljacic