2 papers
cs.LG2026
ADAPTive Input Training for Many-to-One Pre-Training on Time-Series Classification
Paul Quinlan, Qingguo Li, Xiaodan Zhu
Recent work on time-series models has leveraged self-supervised training to learn meaningful features and patterns in order to improve performance on downstream tasks and generaliz…
cs.CL2024
Error Diversity Matters: An Error-Resistant Ensemble Method for Unsupervised Dependency Parsing
Behzad Shayegh, Hobie H. -B. Lee, Xiaodan Zhu +2
We address unsupervised dependency parsing by building an ensemble of diverse existing models through post hoc aggregation of their output dependency parse structures. We observe t…