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12/20/2022
TeSS: Zero-Shot Classification via Textual Similarity Comparison with Prompting using Sentence Encoder
We introduce TeSS (Text Similarity Comparison using Sentence Encoder), a...
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12/05/2022
D-TensoRF: Tensorial Radiance Fields for Dynamic Scenes
Neural radiance field (NeRF) attracts attention as a promising approach ...
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07/07/2022
Towards the Practical Utility of Federated Learning in the Medical Domain
Federated learning (FL) is an active area of research. One of the most s...
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07/03/2022
DailyTalk: Spoken Dialogue Dataset for Conversational Text-to-Speech
The majority of current TTS datasets, which are collections of individua...
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05/29/2022
BiasEnsemble: Revisiting the Importance of Amplifying Bias for Debiasing
In image classification, "debiasing" aims to train a classifier to be le...
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03/14/2022
Uncertainty-Aware Text-to-Program for Question Answering on Structured Electronic Health Records
Question Answering on Electronic Health Records (EHR-QA) has a significa...
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11/14/2021
Question Answering for Complex Electronic Health Records Database using Unified Encoder-Decoder Architecture
An intelligent machine that can answer human questions based on electron...
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10/09/2021
RankingMatch: Delving into Semi-Supervised Learning with Consistency Regularization and Ranking Loss
Semi-supervised learning (SSL) has played an important role in leveragin...
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05/31/2021
The effectiveness of feature attribution methods and its correlation with automatic evaluation scores
Explaining the decisions of an Artificial Intelligence (AI) model is inc...
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03/17/2021
STYLER: Style Factor Modeling with Rapidity and Robustness via Speech Decomposition for Expressive and Controllable Neural Text to Speech
Previous works on neural text-to-speech (TTS) have been addressed on lim...
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02/15/2021
QuickBrowser: A Unified Model to Detect and Read Simple Object in Real-time
There are many real-life use cases such as barcode scanning or billboard...
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02/15/2021
CAP-GAN: Towards Adversarial Robustness with Cycle-consistent Attentional Purification
Adversarial attack is aimed at fooling the target classifier with imperc...
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02/12/2021
ReRankMatch: Semi-Supervised Learning with Semantics-Oriented Similarity Representation
This paper proposes integrating semantics-oriented similarity representa...
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06/07/2020
Adversarial Optimal Transport Through The Convolution Of Kernels With Evolving Measures
A novel algorithm is proposed to solve the sample-based optimal transpor...
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05/03/2020
Explaining How Deep Neural Networks Forget by Deep Visualization
Explaining the behaviors of deep neural networks, usually considered as ...
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04/14/2020
Simple Multi-Resolution Representation Learning for Human Pose Estimation
Human pose estimation - the process of recognizing human keypoints in a ...
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04/14/2020
Smart Inference for Multidigit Convolutional Neural Network based Barcode Decoding
Barcodes are ubiquitous and have been used in most of critical daily act...
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02/06/2020
Unbalanced GANs: Pre-training the Generator of Generative Adversarial Network using Variational Autoencoder
We propose Unbalanced GANs, which pre-trains the generator of the genera...
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01/06/2020
Dissecting Catastrophic Forgetting in Continual Learning by Deep Visualization
Interpreting the behaviors of Deep Neural Networks (usually considered a...
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09/19/2019
ContCap: A comprehensive framework for continual image captioning
While cutting-edge image captioning systems are increasingly describing ...
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08/14/2019
DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation
Nowadays, Deep learning techniques show dramatic performance on computer...
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05/16/2019
TRk-CNN: Transferable Ranking-CNN for image classification of glaucoma, glaucoma suspect, and normal eyes
In this paper, we proposed Transferable Ranking Convolutional Neural Net...
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05/10/2019
T-Net: Encoder-Decoder in Encoder-Decoder architecture for the main vessel segmentation in coronary angiography
In this paper, we proposed T-Net containing a small encoder-decoder insi...
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07/07/2018
Tournament Based Ranking CNN for the Cataract grading
Solving the classification problem, unbalanced number of dataset among t...
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05/15/2018
2sRanking-CNN: A 2-stage ranking-CNN for diagnosis of glaucoma from fundus images using CAM-extracted ROI as an intermediate input
Glaucoma is a disease in which the optic nerve is chronically damaged by...
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04/18/2018
Automated diagnosis of pneumothorax using an ensemble of convolutional neural networks with multi-sized chest radiography images
Pneumothorax is a relatively common disease, but in some cases, it may b...
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04/18/2018
Automated detection of vulnerable plaque in intravascular ultrasound images
Acute Coronary Syndrome (ACS) is a syndrome caused by a decrease in bloo...
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04/18/2018
