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08/03/2023
ETran: Energy-Based Transferability Estimation
This paper addresses the problem of ranking pre-trained models for objec...
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07/29/2023
EnrichEvent: Enriching Social Data with Contextual Information for Emerging Event Extraction
Social platforms have emerged as a crucial platform for disseminating an...
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03/01/2023
A Persian Benchmark for Joint Intent Detection and Slot Filling
Natural Language Understanding (NLU) is important in today's technology ...
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03/01/2022
E-LANG: Energy-Based Joint Inferencing of Super and Swift Language Models
Building huge and highly capable language models has been a trend in the...
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12/29/2021
Deep Learning meets Liveness Detection: Recent Advancements and Challenges
Facial biometrics has been recently received tremendous attention as a c...
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10/20/2021
EBJR: Energy-Based Joint Reasoning for Adaptive Inference
State-of-the-art deep learning models have achieved significant performa...
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10/15/2021
Advances and Challenges in Deep Lip Reading
Driven by deep learning techniques and large-scale datasets, recent year...
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08/12/2021
Bagging Supervised Autoencoder Classifier for Credit Scoring
Credit scoring models, which are among the most potent risk management t...
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05/10/2021
Age of Information Aware VNF Scheduling in Industrial IoT Using Deep Reinforcement Learning
In delay-sensitive industrial internet of things (IIoT) applications, th...
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01/12/2021
A Compact Deep Learning Model for Face Spoofing Detection
In recent years, face biometric security systems are rapidly increasing,...
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12/31/2020
Learned Multi-Resolution Variable-Rate Image Compression with Octave-based Residual Blocks
Recently deep learning-based image compression has shown the potential t...
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11/30/2020
Twitter Spam Detection: A Systematic Review
Nowadays, with the rise of Internet access and mobile devices around the...
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10/18/2020
Dynamic Ensemble Learning for Credit Scoring: A Comparative Study
Automatic credit scoring, which assesses the probability of default by l...
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02/24/2020
Generalized Octave Convolutions for Learned Multi-Frequency Image Compression
Learned image compression has recently shown the potential to outperform...
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01/26/2020
Deep Learning-based Image Compression with Trellis Coded Quantization
Recently many works attempt to develop image compression models based on...
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12/11/2019
Learned Variable-Rate Image Compression with Residual Divisive Normalization
Recently it has been shown that deep learning-based image compression ha...
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09/15/2019
MarlRank: Multi-agent Reinforced Learning to Rank
When estimating the relevancy between a query and a document, ranking mo...
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08/24/2019
Using Contextual Information to Improve Blood Glucose Prediction
Blood glucose value prediction is an important task in diabetes manageme...
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07/15/2019
Improved Hybrid Layered Image Compression using Deep Learning and Traditional Codecs
Recently deep learning-based methods have been applied in image compress...
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03/01/2019
Detecting Target-Area Link-Flooding DDoS Attacks using Traffic Analysis and Supervised Learning
A novel class of extreme link-flooding DDoS (Distributed Denial of Servi...
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12/03/2018
From the User to the Medium: Neural Profiling Across Web Communities
Online communities provide a unique way for individuals to access inform...
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10/22/2018
Named Entity Disambiguation using Deep Learning on Graphs
We tackle NED by comparing entities in short sentences with graphs. Cre...
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06/08/2018
DSSLIC: Deep Semantic Segmentation-based Layered Image Compression
Deep learning has revolutionized many computer vision fields in the last...
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06/01/2018
Semi-Recurrent CNN-based VAE-GAN for Sequential Data Generation
A semi-recurrent hybrid VAE-GAN model for generating sequential data is ...
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03/23/2018