|
Workshop
|
|
A Fast Learning-Based Surrogate of Electrical Machines using a Reduced Basis
Alejandro Ribes · Nawfal BENCHEKROUN · Théo Delagnes
|
|
|
Poster
|
Tue 2:30
|
Position: Do Not Explain Vision Models Without Context
Paulina Tomaszewska · Przemyslaw Biecek
|
|
|
Poster
|
Tue 4:30
|
Robust Multi-Task Learning with Excess Risks
Yifei He · Shiji Zhou · Guojun Zhang · Hyokun Yun · Yi Xu · Belinda Zeng · Trishul Chilimbi · Han Zhao
|
|
|
Poster
|
Wed 4:30
|
Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM Algorithms
Ye Tian · Haolei Weng · Yang Feng
|
|
|
Poster
|
Thu 4:30
|
FedMBridge: Bridgeable Multimodal Federated Learning
Jiayi Chen · Aidong Zhang
|
|
|
Poster
|
Tue 2:30
|
Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning
Sungmin Cha · Kyunghyun Cho · Taesup Moon
|
|
|
Poster
|
Wed 2:30
|
Federated Continual Learning via Prompt-based Dual Knowledge Transfer
Hongming Piao · Yichen WU · Dapeng Wu · Ying WEI
|
|
|
Oral
|
Thu 8:00
|
FedMBridge: Bridgeable Multimodal Federated Learning
Jiayi Chen · Aidong Zhang
|
|
|
Poster
|
Thu 4:30
|
Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models
Didi Zhu · Zhongyi Sun · Zexi Li · tao shen · Ke Yan · Shouhong Ding · Chao Wu · Kun Kuang
|
|
|
Poster
|
Tue 4:30
|
Vision Transformers as Probabilistic Expansion from Learngene
Qiufeng Wang · Xu Yang · Haokun Chen · Xin Geng
|
|
|
Poster
|
Wed 4:30
|
Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Unsupervised Domain Adaptation
Dapeng Hu · Jian Liang · Xinchao Wang · Chuan-Sheng Foo
|
|
|
Poster
|
Wed 2:30
|
Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images
Jun-Peng Jiang · Han-Jia Ye · Leye Wang · Yang Yang · Yuan Jiang · De-Chuan Zhan
|
|
