
-
Value-aware Approximate Attention
Following the success of dot-product attention in Transformers, numerous...
read it
-
Stochastic filters based on hybrid approximations of multiscale stochastic reaction networks
We consider the problem of estimating the dynamic latent states of an in...
read it
-
DART: Open-Domain Structured Data Record to Text Generation
We introduce DART, a large dataset for open-domain structured data recor...
read it
-
GMAT: Global Memory Augmentation for Transformers
Transformer-based models have become ubiquitous in natural language proc...
read it
-
Injecting Numerical Reasoning Skills into Language Models
Large pre-trained language models (LMs) are known to encode substantial ...
read it
-
Break It Down: A Question Understanding Benchmark
Understanding natural language questions entails the ability to break do...
read it
-
HeartFit: An Accurate Platform for Heart Murmur Diagnosis Utilizing Deep Learning
Cardiovascular disease (CD) is the number one leading cause of death wor...
read it
-
CAMLPAD: Cybersecurity Autonomous Machine Learning Platform for Anomaly Detection
As machine learning and cybersecurity continue to explode in the context...
read it
-
User-Interactive Machine Learning Model for Identifying Structural Relationships of Code Features
Traditional machine learning based intelligent systems assist users by l...
read it
-
AquaSight: Automatic Water Impurity Detection Utilizing Convolutional Neural Networks
According to the United Nations World Water Assessment Programme, every ...
read it
-
StrokeSave: A Novel, High-Performance Mobile Application for Stroke Diagnosis using Deep Learning and Computer Vision
According to the WHO, Cerebrovascular Stroke, or CS, is the second large...
read it
-
Dilated Convolutions for Modeling Long-Distance Genomic Dependencies
We consider the task of detecting regulatory elements in the human genom...
read it
-
A Comparative Analysis of Tensor Decomposition Models Using Hyper Spectral Image
Hyper spectral imaging is a remote sensing technology, providing variety...
read it