Classification of images in many category datasets has
rapidly improved in recent years. However, systems that
perform well on particular datasets typically have one or
more lim...
This article delves into the scoring function of the statistical paraphrase generation model. It presents an algorithm for exact computation and two applicative experiments. The f...
Applying the right compiler optimizations to a particular program can have a significant impact on program performance. Due to the non-linear interaction of compiler optimization...
John Cavazos, Grigori Fursin, Felix V. Agakov, Edw...
This paper demonstrates how unsupervised techniques can be used to learn models of deep linguistic structure. Determining the semantic roles of a verb's dependents is an impo...
This paper describes a method for the "Analysis and Prediction of Performance for Evolving Architectures" (APPEAR). The method aims at performance estimation of adapted ...
Evgeni M. Eskenazi, Alexandre V. Fioukov, Dieter K...