Deep learning has been successfully applied to perform non-linear embedding. In this paper, we present supervised embedding techniques that use a deep network to collapse classes....
Martin Renqiang Min, Laurens van der Maaten, Zinen...
— The need for self-healing software to respond with a reactive, proactive or preventative action as a result of changes in its environment has added the non-functional requireme...
The ability to correctly classify sentences that describe events is an important task for many natural language applications such as Question Answering (QA) and Summarisation. In ...
Code quality and compilation speed are two challenges to JIT compilers, while selective compilation is commonly used to tradeoff these two issues. Meanwhile, with more and more Ja...
Yuan Zhang, Min Yang, Bo Zhou, Zhemin Yang, Weihua...
There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling such models to full-sized, high-dimensional images re...
Honglak Lee, Roger Grosse, Rajesh Ranganath, Andre...