4 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.LG2021★ 4 cited
Class-conditioned Domain Generalization via Wasserstein Distributional Robust Optimization
Jingge Wang, Yang Li, Liyan Xie +1
Given multiple source domains, domain generalization aims at learning a universal model that performs well on any unseen but related target domain. In this work, we focus on the do…
cs.LG2021
Dep-: Improving -based Network Sparsification via Dependency Modeling
Yang Li, Shihao Ji
Training deep neural networks with an regularization is one of the prominent approaches for network pruning or sparsification. The method prunes the network during training b…
cs.CL2021
Joint Text and Label Generation for Spoken Language Understanding
Yang Li, Ben Athiwaratkun, Cicero Nogueira dos Santos +1
Generalization is a central problem in machine learning, especially when data is limited. Using prior information to enforce constraints is the principled way of encouraging genera…