3 papers
cs.LG2020
Matrix Shuffle-Exchange Networks for Hard 2D Tasks
Emīls Ozoliņš, Kārlis Freivalds, Agris Šostaks
Convolutional neural networks have become the main tools for processing two-dimensional data. They work well for images, yet convolutions have a limited receptive field that preven…
cs.LG2020
Residual Shuffle-Exchange Networks for Fast Processing of Long Sequences
Andis Draguns, Emīls Ozoliņš, Agris Šostaks +2
Attention is a commonly used mechanism in sequence processing, but it is of O(n^2) complexity which prevents its application to long sequences. The recently introduced neural Shuff…
cs.DB2016
Self-service Ad-hoc Querying Using Controlled Natural Language
Janis Barzdins, Mikus Grasmanis, Edgars Rencis +2
The ad-hoc querying process is slow and error prone due to inability of business experts of accessing data directly without involving IT experts. The problem lies in complexity of…