Deep Boltzmann machines (DBMs), one of the first “deep” learning methods...
Modern image classification is based upon directly predicting model clas...
k-means clustering is a well-studied problem due to its wide applicabili...
A variety of dimensionality reduction techniques have been applied for
c...
This paper studies zero-shot domain adaptation where each domain is inde...
Recently the first (1+ϵ)-approximate strong coresets for k-median
and su...
Identifying temporal relations between events is an essential step towar...
Understanding temporal and causal relations between events is a fundamen...
Automatic extraction of temporal information in text is an important
com...
Data augmentation (DA) is commonly used during model training, as it
sig...
We derive upper and lower bounds for the policy regret of T-round online...