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Language model pretraining has led to significant performance gains but careful comparison between different approaches is… Expand Neural Machine Translation (NMT) is an end-to-end learning approach for automated translation, with the potential to overcome… Expand A very simple way to improve the performance of almost any machine learning algorithm is to train many different models on the… Expand This paper presents a method of estimating camera pose in an unknown scene. While this has previously been attempted by adapting… Expand A survey of current continuous nonlinear multi-objective optimization (MOO) concepts and methods is presented. It consolidates… Expand Hybrid density functionals are very successful in describing a wide range of molecular properties accurately. In large molecules… Expand The SPLASH-2 suite of parallel applications has recently been released to facilitate the study of centralized and distributed… Expand Introduction. What is Parallel Computing? The Scope of Parallel Computing. Issues in Parallel Computing. Organization and… Expand * For junior/senior computer science majors. * Presents concept of the algorithm as a product of design techniques that students… Expand Humans appear to be able to learn new concepts without needing to be programmed explicitly in any conventional sense. In this… Expand