We introduce TeSS (Text Similarity Comparison using Sentence Encoder), a...
Neural radiance field (NeRF) attracts attention as a promising approach ...
Federated learning (FL) is an active area of research. One of the most
s...
The majority of current TTS datasets, which are collections of individua...
In image classification, "debiasing" aims to train a classifier to be le...
Question Answering on Electronic Health Records (EHR-QA) has a significa...
An intelligent machine that can answer human questions based on electron...
Semi-supervised learning (SSL) has played an important role in leveragin...
Explaining the decisions of an Artificial Intelligence (AI) model is
inc...
Previous works on neural text-to-speech (TTS) have been addressed on lim...
There are many real-life use cases such as barcode scanning or billboard...
Adversarial attack is aimed at fooling the target classifier with
imperc...
This paper proposes integrating semantics-oriented similarity representa...
A novel algorithm is proposed to solve the sample-based optimal transpor...
Explaining the behaviors of deep neural networks, usually considered as ...
Human pose estimation - the process of recognizing human keypoints in a ...
Barcodes are ubiquitous and have been used in most of critical daily
act...
We propose Unbalanced GANs, which pre-trains the generator of the genera...
Interpreting the behaviors of Deep Neural Networks (usually considered a...
While cutting-edge image captioning systems are increasingly describing ...
Nowadays, Deep learning techniques show dramatic performance on computer...
In this paper, we proposed Transferable Ranking Convolutional Neural Net...
In this paper, we proposed T-Net containing a small encoder-decoder insi...
Solving the classification problem, unbalanced number of dataset among t...
Glaucoma is a disease in which the optic nerve is chronically damaged by...
Pneumothorax is a relatively common disease, but in some cases, it may b...
Acute Coronary Syndrome (ACS) is a syndrome caused by a decrease in bloo...
In this paper, we propose an effective electrocardiogram (ECG) arrhythmi...