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05/23/2023
Debiasing should be Good and Bad: Measuring the Consistency of Debiasing Techniques in Language Models
Debiasing methods that seek to mitigate the tendency of Language Models ...
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11/15/2022
Dynamic-Pix2Pix: Noise Injected cGAN for Modeling Input and Target Domain Joint Distributions with Limited Training Data
Learning to translate images from a source to a target domain with appli...
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02/21/2022
DGAFF: Deep Genetic Algorithm Fitness Formation for EEG Bio-Signal Channel Selection
Brain-computer interface systems aim to facilitate human-computer intera...
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01/23/2022
An Application of Pseudo-Log-Likelihoods to Natural Language Scoring
Language models built using semi-supervised machine learning on large co...
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11/09/2020
An Analysis of Dataset Overlap on Winograd-Style Tasks
The Winograd Schema Challenge (WSC) and variants inspired by it have bec...
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07/24/2020
Selection of Proper EEG Channels for Subject Intention Classification Using Deep Learning
Brain signals could be used to control devices to assist individuals wit...
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02/05/2020
Brain Tumor Segmentation by Cascaded Deep Neural Networks Using Multiple Image Scales
Intracranial tumors are groups of cells that usually grow uncontrollably...
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11/03/2019
Gland Segmentation in Histopathological Images by Deep Neural Network
Histology method is vital in the diagnosis and prognosis of cancers and ...
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11/03/2019
Localization of Fetal Head in Ultrasound Images by Multiscale View and Deep Neural Networks
One of the routine examinations that are used for prenatal care in many ...
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11/01/2019
BlessMark: A Blind Diagnostically-Lossless Watermarking Framework for Medical Applications Based on Deep Neural Networks
Nowadays, with the development of public network usage, medical informat...
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08/31/2019
Fetal Ultrasound Image Segmentation for Measuring Biometric Parameters Using Multi-Task Deep Learning
Ultrasound imaging is a standard examination during pregnancy that can b...
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08/31/2019
Gland Segmentation in Histopathology Images Using Deep Networks and Handcrafted Features
Histopathology images contain essential information for medical diagnosi...
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11/05/2018
On the Evaluation of Common-Sense Reasoning in Natural Language Understanding
The NLP and ML communities have long been interested in developing model...
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11/02/2018
The Hard-CoRe Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution
We introduce a new benchmark task for coreference resolution, Hard-CoRe,...
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10/16/2018
ReDMark: Framework for Residual Diffusion Watermarking on Deep Networks
Due to the rapid growth of machine learning tools and specifically deep ...
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10/02/2018
A Knowledge Hunting Framework for Common Sense Reasoning
We introduce an automatic system that achieves state-of-the-art results ...
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09/20/2018
Brain Tumor Segmentation Using Deep Learning by Type Specific Sorting of Images
Recently deep learning has been playing a major role in the field of com...
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02/23/2018
Left ventricle segmentation By modelling uncertainty in prediction of deep convolutional neural networks and adaptive thresholding inference
Deep neural networks have shown great achievements in solving complex pr...
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02/21/2018
Lossless Image Compression Algorithm for Wireless Capsule Endoscopy by Content-Based Classification of Image Blocks
Recent advances in capsule endoscopy systems have introduced new methods...
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02/21/2018
Lossless Compression of Angiogram Foreground with Visual Quality Preservation of Background
By increasing the volume of telemedicine information, the need for medic...
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01/08/2018