2 papers
cs.CL2022
MetaASSIST: Robust Dialogue State Tracking with Meta Learning
Fanghua Ye, Xi Wang, Jie Huang +3
Existing dialogue datasets contain lots of noise in their state annotations. Such noise can hurt model training and ultimately lead to poor generalization performance. A general fr…
cs.LG2022
Just Mix Once: Worst-group Generalization by Group Interpolation
Giorgio Giannone, Serhii Havrylov, Jordan Massiah +2
Advances in deep learning theory have revealed how average generalization relies on superficial patterns in data. The consequences are brittle models with poor performance with shi…