Code for our CIKM 2018 paper titled "ANR: Aspect-based Neural Recommender"
-
Updated
Nov 6, 2018 - Python
Code for our CIKM 2018 paper titled "ANR: Aspect-based Neural Recommender"
Algorithms for prediction of congestion from Network State
Implementation of language model papers along with several examples [NOT ALL WRITTEN FROM SCRATCH].
Implementation of paper: "A Neural Attention Model for Sentence Summarization" in Theano
Aspect Based Sentiment Analysis (ABSA)
We find which attributes matter the most for loan decisions using neural attention. NIPS 2019 workshop
Synthetic Thalamus is a biologically-inspired neural attention mechanism that mimics the brain's thalamic circuits. This project implements a selective information bottleneck with phase-based synchronization, contrastive learning, and recurrent feedback loops.
Quinn: Complex Word Identification using Neural Networks (CWI-NN)
Add a description, image, and links to the neural-attention topic page so that developers can more easily learn about it.
To associate your repository with the neural-attention topic, visit your repo's landing page and select "manage topics."