38 citations · 124 across the 14 of their papers we have counts for
5 papers · 1 filter
Understanding Hessian Alignment for Domain Generalization
Sobhan Hemati, Guojun Zhang, Amir Estiri +1
Out-of-distribution (OOD) generalization is a critical ability for deep learning models in many real-world scenarios including healthcare and autonomous vehicles. Recently, differe…
Understanding the Role of Layer Normalization in Label-Skewed Federated Learning
Guojun Zhang, Mahdi Beitollahi, Alex Bie +1
Layer normalization (LN) is a widely adopted deep learning technique especially in the era of foundation models. Recently, LN has been shown to be surprisingly effective in federat…
AnyDoor: Zero-shot Object-level Image Customization
Xi Chen, Lianghua Huang, Yu Liu +3
This work presents AnyDoor, a diffusion-based image generator with the power to teleport target objects to new scenes at user-specified locations in a harmonious way. Instead of tu…
The Future of ChatGPT-enabled Labor Market: A Preliminary Study in China
Lan Chen, Xi Chen, Shiyu Wu +3
As a phenomenal large language model, ChatGPT has achieved unparalleled success in various real-world tasks and increasingly plays an important role in our daily lives and work. Ho…
High-Dimensional Dynamic Pricing under Non-Stationarity: Learning and Earning with Change-Point Detection
Zifeng Zhao, Feiyu Jiang, Yi Yu +1
We consider a high-dimensional dynamic pricing problem under non-stationarity, where a firm sells products to sequentially arriving consumers that behave according to an unknow…