Search Results for author:
Found 5 papers, 1 papers with code
On the impressive performance of randomly weighted encoders in summarization tasks
In this work, we investigate the performance of untrained randomly initialized encoders in a general class of sequence to sequence models and compare their performance with that of fully-trained encoders on the task of abstractive summarization.
Detecting Driveable Area for Autonomous Vehicles
One of these aspects, recognizing regions on the road that are driveable is vital to the success of any autonomous system.
Building a Neural Machine Translation System Using Only Synthetic Parallel Data
Experiments on Czech-German and French-German translations demonstrate the efficacy of the proposed pseudo parallel corpus, which shows not only enhanced results for bidirectional translation tasks but also substantial improvement with the aid of a ground truth real parallel corpus.
DeepSpark: A Spark-Based Distributed Deep Learning Framework for Commodity Clusters
The increasing complexity of deep neural networks (DNNs) has made it challenging to exploit existing large-scale data processing pipelines for handling massive data and parameters involved in DNN training.
The clustering and halo occupation distribution of Lyman-break galaxies at $z\sim4$
We find that for the detection limits of the XDF field central LBGs at $z\sim 4$ predominantly reside in haloes of mass $\sim 10^{11}-10^{12}h^{-1}M_{\rm \odot}$ and that satellites reside in larger haloes of mass $\sim 10^{12}-10^{13}h^{-1}M_{\rm \odot}$.
Astrophysics of Galaxies Cosmology and Nongalactic Astrophysics
