6 citations · 12 across the 4 of their papers we have counts for
4 papers
Divide and Conquer: Language Models can Plan and Self-Correct for Compositional Text-to-Image Generation
Zhenyu Wang, Enze Xie, Aoxue Li +3
Despite significant advancements in text-to-image models for generating high-quality images, these methods still struggle to ensure the controllability of text prompts over images…
VEGA: Towards an End-to-End Configurable AutoML Pipeline
Bochao Wang, Hang Xu, Jiajin Zhang +21
Automated Machine Learning (AutoML) is an important industrial solution for automatic discovery and deployment of the machine learning models. However, designing an integrated Auto…
MOFA: Modular Factorial Design for Hyperparameter Optimization
Bo Xiong, Yimin Huang, Hanrong Ye +2
This paper presents a novel and lightweight hyperparameter optimization (HPO) method, MOdular FActorial Design (MOFA). MOFA pursues several rounds of HPO, where each round alternat…
Risk Variance Penalization
Chuanlong Xie, Haotian Ye, Fei Chen +3
The key of the out-of-distribution (OOD) generalization is to generalize invariance from training domains to target domains. The variance risk extrapolation (V-REx) is a practical…