Improving out-of-distribution generalization in graphs via hierarchical semantic environmentsby Yinhua Piao, Sangseon Lee, Yijingxiu Lu,…
Making Pre-trained Language Models Great on Tabular Predictionby Jiahuan Yan, Bo Zheng, Hongxia Xu, Yiheng…
COLA: Cross-city Mobility Transformer for Human Trajectory Simulationby Yu Wang, Tongya Zheng, Yuxuan Liang, Shunyu…
NASH: Neural Architecture Search for Hardware-Optimized Machine Learning Modelsby Mengfei Ji, Yuchun Chang, Baolin Zhang,…
Reward Model Learning vs. Direct Policy Optimization: A Comparative Analysis of Learning from Human Preferencesby Andi…
Out-of-distribution robustness for multivariate analysis via causal regularisationby Homer Durand, Gherardo Varando, Nathan Mankovich, Gustau…
One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Modelsby Lin Li,…
A Survey on Evaluation of Out-of-Distribution Generalizationby Han Yu, Jiashuo Liu, Xingxuan Zhang, Jiayun Wu,…
Unsupervised Distance Metric Learning for Anomaly Detection Over Multivariate Time Seriesby Hanyang Yuan, Qinglin Cai,…
Locally Convex Global Loss Network for Decision-Focused Learningby Haeun Jeon, Hyunglip Bae, Minsu Park, Chanyeong…