5 citations · 5 across the 3 of their papers we have counts for
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cs.LG2020
Low-Dimensional Hyperbolic Knowledge Graph Embeddings
Ines Chami, Adva Wolf, Da-Cheng Juan +3
Knowledge graph (KG) embeddings learn low-dimensional representations of entities and relations to predict missing facts. KGs often exhibit hierarchical and logical patterns which…
cs.LG2019★ 5 cited
Learning from a Teacher using Unlabeled Data
Gaurav Menghani, Sujith Ravi
Knowledge distillation is a widely used technique for model compression. We posit that the teacher model used in a distillation setup, captures relationships between classes, that…
cs.LG2019
Generalized Clustering by Learning to Optimize Expected Normalized Cuts
Azade Nazi, Will Hang, Anna Goldie +2
We introduce a novel end-to-end approach for learning to cluster in the absence of labeled examples. Our clustering objective is based on optimizing normalized cuts, a criterion wh…