Search Results for author:
Found 2 papers, 1 papers with code
SimpleTRON: Simple Transformer with O(N) Complexity
In this paper, we propose that the dot product pairwise matching attention layer, which is widely used in Transformer-based models, is redundant for the model performance.
Deep Variational Autoencoder with Shallow Parallel Path for Top-N Recommendation (VASP)
Recently introduced EASE algorithm presents a simple and elegant way, how to solve the top-N recommendation task.
Ranked #1 on
Recommendation Systems
on MovieLens 20M
(using extra training data)
Cannot find the paper you are looking for? You can
Submit a new open access paper.
