firstbacksecondback
756 Results
Workshop
|
Towards a Post-Market Monitoring Framework for Machine Learning-based Medical Devices: A case study Jean Feng · Adarsh Subbaswamy · Alexej Gossmann · Harvineet Singh · Berkman Sahiner · Mi-Ok Kim · Gene Pennello · Nicholas Petrick · Romain Pirracchio · Fan Xia |
||
Poster
|
Wed 15:00 |
Multi-Prompt Alignment for Multi-Source Unsupervised Domain Adaptation Haoran Chen · Xintong Han · Zuxuan Wu · Yu-Gang Jiang |
|
Poster
|
Tue 15:15 |
Revisit the Power of Vanilla Knowledge Distillation: from Small Scale to Large Scale Zhiwei Hao · Jianyuan Guo · Kai Han · Han Hu · Chang Xu · Yunhe Wang |
|
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 |
||
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
|
Tue 15:15 |
Revisiting Scalarization in Multi-Task Learning: A Theoretical Perspective Yuzheng Hu · Ruicheng Xian · Qilong Wu · Qiuling Fan · Lang Yin · Han Zhao |
|
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
|
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 |
Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation David Brandfonbrener · David Brandfonbrener · Ofir Nachum · Joan Bruna |
|
Poster
|
Spectral Co-Distillation for Personalized Federated Learning Zihan Chen · Howard Yang · Tony Quek · Kai Fong Ernest Chong |
||
Poster
|
Thu 8:45 |
Multi-task learning with summary statistics Parker Knight · Rui Duan |
|
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 |