firstbacksecondback
758 Results
Workshop
|
On the Promise and Challenges of Foundation Models for Learning-based Cloud Systems Management Haoran Qiu · Weichao Mao · Chen Wang · Hubertus Franke · Zbigniew Kalbarczyk · Tamer Basar · Ravishankar Iyer |
||
Poster
|
Thu 15:00 |
Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models Guillermo Ortiz-Jimenez · Alessandro Favero · Pascal Frossard |
|
Workshop
|
Machine learning-based compression of quantum many body physics: PCA and autoencoder representation of the vertex function Jiawei Zang · Matija Medvidović · Dominik Kiese · Domenico Di Sante · Anirvan Sengupta · Andy Millis |
||
Poster
|
Tue 8:45 |
Optimal testing using combined test statistics across independent studies Lasse Vuursteen · Botond Szabo · Aad van der Vaart · Harry van Zanten |
|
Workshop
|
On the Promise and Challenges of Foundation Models for Learning-based Cloud Systems Management Haoran Qiu · Weichao Mao · Chen Wang · Hubertus Franke · Zbigniew Kalbarczyk · Tamer Basar · Ravishankar Iyer |
||
Workshop
|
Machine learning-assisted nanoscale photoelectrical sensing Ziyan Zhu · Zhurun (Judy) Ji · Houssam Yassin · Zhi-Xun Shen · Thomas Devereaux |
||
Poster
|
Tue 15:15 |
One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation Zhiwei Hao · Jianyuan Guo · Kai Han · Yehui Tang · Han Hu · Yunhe Wang · Chang Xu |
|
Poster
|
Wed 15:00 |
DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation Kaipeng Zheng · Huishuai Zhang · Weiran Huang |
|
Poster
|
Wed 15:00 |
Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained Models Qiong Wu · Wei Yu · Yiyi Zhou · Shubin Huang · Xiaoshuai Sun · Rongrong Ji |
|
Poster
|
Tue 15:15 |
Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration Qi-Wei Wang · Da-Wei Zhou · Yi-Kai Zhang · De-Chuan Zhan · Han-Jia Ye |
|
Poster
|
Thu 8:45 |
Multi-task learning with summary statistics Parker Knight · Rui Duan |
|
Poster
|
Tue 8:45 |
Adaptive Test-Time Personalization for Federated Learning Wenxuan Bao · Tianxin Wei · Haohan Wang · Jingrui He |