5 papers
Training-Free Looped Transformers
Lizhang Chen, Jonathan Li, Chen Liang +2
We introduce training-free looped transformers, in which a lightweight inference-time wrapper loops a contiguous mid-stack block of layers of a frozen checkpoint without additional…
CRAFT: Conflict-Resolved Aggregation for Federated Training
Ziqi Wang, Qiang Liu, Nils Thuerey
The aggregation of conflicting client updates remains a fundamental bottleneck in federated learning (FL) under heterogeneous data distributions. Naive averaging can produce a glob…
Towards Sustainable Growth: A Multi-Value-Aware Retrieval Framework for E-Commerce Search
Yifan Wang, Yixuan Wang, YiDan Liang +2
New item growth is critical for maintaining a healthy ecosystem in large-scale e-commerce platforms. However, existing systems tend to prioritize presenting users with already popu…
Probabilistic Inference and Learning with Stein's Method
Qiang Liu, Lester Mackey, Chris Oates
This monograph provides a rigorous overview of theoretical and methodological aspects of probabilistic inference and learning with Stein's method. Recipes are provided for construc…
HARP: HARmonizing in-vivo diffusion MRI using Phantom-only training
Hwihun Jeong, Qiang Liu, Kathryn E. Keenan +7
Purpose: Combining multi-site diffusion MRI (dMRI) data is hindered by inter-scanner variability, which confounds subsequent analysis. Previous harmonization methods require large,…