Search Results for author:
Found 4 papers, 3 papers with code
Unsupervised Training for Neural TSP Solver
We use our loss function with a Graph Neural Network and design controlled experiments on both Euclidean and asymmetric TSP.
Matrix Shuffle-Exchange Networks for Hard 2D Tasks
Convolutional neural networks have become the main tools for processing two-dimensional data.
Residual Shuffle-Exchange Networks for Fast Processing of Long Sequences
Attention is a commonly used mechanism in sequence processing, but it is of O(n^2) complexity which prevents its application to long sequences.
Ranked #1 on
Music Transcription
on MusicNet
Neural Shuffle-Exchange Networks -- Sequence Processing in O(n log n) Time
A key requirement in sequence to sequence processing is the modeling of long range dependencies.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
