88 citations · 181 across the 14 of their papers we have counts for
4 papers · 1 filter
Robust Learning Rate Selection for Stochastic Optimization via Splitting Diagnostic
Matteo Sordello, Niccolò Dalmasso, Hangfeng He +1
This paper proposes SplitSGD, a new dynamic learning rate schedule for stochastic optimization. This method decreases the learning rate for better adaptation to the local geometry…
The Local Elasticity of Neural Networks
Hangfeng He, Weijie J. Su
This paper presents a phenomenon in neural networks that we refer to as \textit{local elasticity}. Roughly speaking, a classifier is said to be locally elastic if its prediction at…
QuASE: Question-Answer Driven Sentence Encoding
Hangfeng He, Qiang Ning, Dan Roth
Question-answering (QA) data often encodes essential information in many facets. This paper studies a natural question: Can we get supervision from QA data for other tasks (typical…
Partial Or Complete, That's The Question
Qiang Ning, Hangfeng He, Chuchu Fan +1
For many structured learning tasks, the data annotation process is complex and costly. Existing annotation schemes usually aim at acquiring completely annotated structures, under t…