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07/27/2023
Improving Natural Language Inference in Arabic using Transformer Models and Linguistically Informed Pre-Training
This paper addresses the classification of Arabic text data in the field...
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04/11/2023
DartsReNet: Exploring new RNN cells in ReNet architectures
We present new Recurrent Neural Network (RNN) cells for image classifica...
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09/27/2022
Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances
With the advent of Deep Learning (DL), Super-Resolution (SR) has also be...
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09/21/2022
Explaining Anomalies using Denoising Autoencoders for Financial Tabular Data
Recent advances in Explainable AI (XAI) increased the demand for deploym...
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04/05/2022
DT2I: Dense Text-to-Image Generation from Region Descriptions
Despite astonishing progress, generating realistic images of complex sce...
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03/14/2022
Less is More: Proxy Datasets in NAS approaches
Neural Architecture Search (NAS) defines the design of Neural Networks a...
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08/22/2021
Spatial Transformer Networks for Curriculum Learning
Curriculum learning is a bio-inspired training technique that is widely ...
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06/24/2021
AudioCLIP: Extending CLIP to Image, Text and Audio
In the past, the rapidly evolving field of sound classification greatly ...
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05/14/2021
XAI Handbook: Towards a Unified Framework for Explainable AI
The field of explainable AI (XAI) has quickly become a thriving and prol...
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04/23/2021
ESResNe(X)t-fbsp: Learning Robust Time-Frequency Transformation of Audio
Environmental Sound Classification (ESC) is a rapidly evolving field tha...
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03/25/2021
AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable Layout and Style
Conditional image synthesis from layout has recently attracted much inte...
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02/04/2021
RECol: Reconstruction Error Columns for Outlier Detection
Detecting outliers or anomalies is a common data analysis task. As a sub...
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01/25/2021
Adversarial Text-to-Image Synthesis: A Review
With the advent of generative adversarial networks, synthesizing images ...
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01/07/2021
Contextual Classification Using Self-Supervised Auxiliary Models for Deep Neural Networks
Classification problems solved with deep neural networks (DNNs) typicall...
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10/28/2020
Leveraging Visual Question Answering to Improve Text-to-Image Synthesis
Generating images from textual descriptions has recently attracted a lot...
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04/15/2020
ESResNet: Environmental Sound Classification Based on Visual Domain Models
Environmental Sound Classification (ESC) is an active research area in t...
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03/26/2020
P ≈ NP, at least in Visual Question Answering
In recent years, progress in the Visual Question Answering (VQA) field h...
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01/08/2019
Fusion Strategies for Learning User Embeddings with Neural Networks
Growing amounts of online user data motivate the need for automated proc...
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11/09/2018
An Overview of Computational Approaches for Analyzing Interpretation
It is said that beauty is in the eye of the beholder. But how exactly ca...
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10/15/2018
The Focus-Aspect-Polarity Model for Predicting Subjective Noun Attributes in Images
Subjective visual interpretation is a challenging yet important topic in...
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06/13/2018
Towards Semantically Enhanced Data Understanding
In the field of machine learning, data understanding is the practice of ...
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05/03/2018
Simplified SPARQL REST API - CRUD on JSON Object Graphs via URI Paths
Within the Semantic Web community, SPARQL is one of the predominant lang...
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04/11/2018
An Easy & Collaborative RDF Data Entry Method using the Spreadsheet Metaphor
Spreadsheets are widely used by knowledge workers, especially in the ind...
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03/22/2018
What do Deep Networks Like to See?
We propose a novel way to measure and understand convolutional neural ne...
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07/25/2016