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07/28/2023
Curiosity-Driven Reinforcement Learning based Low-Level Flight Control
Curiosity is one of the main motives in many of the natural creatures wi...
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06/02/2023
On Feature Diversity in Energy-based Models
Energy-based learning is a powerful learning paradigm that encapsulates ...
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05/22/2023
Spatiotemporal Attention-based Semantic Compression for Real-time Video Recognition
This paper studies the computational offloading of video action recognit...
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05/16/2023
Accurate Gigapixel Crowd Counting by Iterative Zooming and Refinement
The increasing prevalence of gigapixel resolutions has presented new cha...
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04/23/2023
Class-Specific Variational Auto-Encoder for Content-Based Image Retrieval
Using a discriminative representation obtained by supervised deep learni...
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03/27/2023
Online Non-Destructive Moisture Content Estimation of Filter Media During Drying Using Artificial Neural Networks
Moisture content (MC) estimation is important in the manufacturing proce...
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02/12/2023
Uncertainty-Aware AB3DMOT by Variational 3D Object Detection
Autonomous driving needs to rely on high-quality 3D object detection to ...
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02/12/2023
Variational Voxel Pseudo Image Tracking
Uncertainty estimation is an important task for critical problems, such ...
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02/06/2023
Adaptive Parameterization of Deep Learning Models for Federated Learning
Federated Learning offers a way to train deep neural networks in a distr...
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01/30/2023
PromptMix: Text-to-image diffusion models enhance the performance of lightweight networks
Many deep learning tasks require annotations that are too time consuming...
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01/03/2023
WLD-Reg: A Data-dependent Within-layer Diversity Regularizer
Neural networks are composed of multiple layers arranged in a hierarchic...
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11/24/2022
Semantic Communication Enabling Robust Edge Intelligence for Time-Critical IoT Applications
This paper aims to design robust Edge Intelligence using semantic commun...
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11/24/2022
Design and Prototyping Distributed CNN Inference Acceleration in Edge Computing
For time-critical IoT applications using deep learning, inference accele...
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11/24/2022
Attention-based Feature Compression for CNN Inference Offloading in Edge Computing
This paper studies the computational offloading of CNN inference in devi...
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11/21/2022
Bayesian Learning for Neural Networks: an algorithmic survey
The last decade witnessed a growing interest in Bayesian learning. Yet, ...
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11/10/2022
Computer Vision on X-ray Data in Industrial Production and Security Applications: A survey
X-ray imaging technology has been used for decades in clinical tasks to ...
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11/01/2022
Recognition of Defective Mineral Wool Using Pruned ResNet Models
Mineral wool production is a non-linear process that makes it hard to co...
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10/26/2022
Predicting the State of Synchronization of Financial Time Series using Cross Recurrence Plots
Cross-correlation analysis is a powerful tool for understanding the mutu...
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10/26/2022
Exact Manifold Gaussian Variational Bayes
We propose an optimization algorithm for Variational Inference (VI) in c...
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10/24/2022
Graph Reinforcement Learning-based CNN Inference Offloading in Dynamic Edge Computing
This paper studies the computational offloading of CNN inference in dyna...
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10/17/2022
Learning Diversified Feature Representations for Facial Expression Recognition in the Wild
Diversity of the features extracted by deep neural networks is important...
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10/10/2022
Layer Ensembles
Deep Ensembles, as a type of Bayesian Neural Networks, can be used to es...
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09/22/2022
Efficient CNN with uncorrelated Bag of Features pooling
Despite the superior performance of CNN, deploying them on low computati...
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08/29/2022
EmpathicSchool: A multimodal dataset for real-time facial expressions and physiological data analysis under different stress conditions
Affective computing has garnered researchers' attention and interest in ...
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08/15/2022
Crowd Counting on Heavily Compressed Images with Curriculum Pre-Training
JPEG image compression algorithm is a widely used technique for image si...
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08/11/2022
HyperTime: Implicit Neural Representation for Time Series
Implicit neural representations (INRs) have recently emerged as a powerf...
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07/26/2022
Efficient High-Resolution Deep Learning: A Survey
Cameras in modern devices such as smartphones, satellites and medical eq...
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07/23/2022
Augmented Bilinear Network for Incremental Multi-Stock Time-Series Classification
Deep Learning models have become dominant in tackling financial time-ser...
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07/22/2022
Distributed Deep Learning Inference Acceleration using Seamless Collaboration in Edge Computing
This paper studies inference acceleration using distributed convolutiona...
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07/22/2022
Receptive Field-based Segmentation for Distributed CNN Inference Acceleration in Collaborative Edge Computing
This paper studies inference acceleration using distributed convolutiona...
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07/20/2022
Analysis of the Effect of Low-Overhead Lossy Image Compression on the Performance of Visual Crowd Counting for Smart City Applications
Images and video frames captured by cameras placed throughout smart citi...
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07/04/2022
Variational Neural Networks
Bayesian Neural Networks (BNNs) provide a tool to estimate the uncertain...
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06/06/2022
VPIT: Real-time Embedded Single Object 3D Tracking Using Voxel Pseudo Images
In this paper, we propose a novel voxel-based 3D single object tracking ...
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05/23/2022
Quasi Black-Box Variational Inference with Natural Gradients for Bayesian Learning
We develop an optimization algorithm suitable for Bayesian learning in c...
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05/23/2022
Dynamic Split Computing for Efficient Deep Edge Intelligence
Deploying deep neural networks (DNNs) on IoT and mobile devices is a cha...
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05/01/2022
Generalized Reference Kernel for One-class Classification
In this paper, we formulate a new generalized reference kernel hoping to...
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04/05/2022
Automatic Image Content Extraction: Operationalizing Machine Learning in Humanistic Photographic Studies of Large Visual Archives
Applying machine learning tools to digitized image archives has a potent...
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03/15/2022
How informative is the Order Book Beyond the Best Levels? Machine Learning Perspective
Research on limit order book markets has been rapidly growing and nowada...
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03/07/2022
Bayesian Bilinear Neural Network for Predicting the Mid-price Dynamics in Limit-Order Book Markets
The prediction of financial markets is a challenging yet important task....
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02/10/2022
Forecasting large-scale circulation regimes using deformable convolutional neural networks and global spatiotemporal climate data
Classifying the state of the atmosphere into a finite number of large-sc...
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02/09/2022
Non-Linear Spectral Dimensionality Reduction Under Uncertainty
In this paper, we consider the problem of non-linear dimensionality redu...
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02/09/2022
Reducing Redundancy in the Bottleneck Representation of the Autoencoders
Autoencoders are a type of unsupervised neural networks, which can be us...
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01/26/2022
Self-attention fusion for audiovisual emotion recognition with incomplete data
In this paper, we consider the problem of multimodal data analysis with ...
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01/26/2022
Self-Attention Neural Bag-of-Features
In this work, we propose several attention formulations for multivariate...
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01/14/2022
Multi-head Temporal Attention-Augmented Bilinear Network for Financial time series prediction
Financial time-series forecasting is one of the most challenging domains...
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01/11/2022
Fighting Money Laundering with Statistics and Machine Learning: An Introduction and Review
Money laundering is a profound, global problem. Nonetheless, there is li...
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11/10/2021
Learning to ignore: rethinking attention in CNNs
Recently, there has been an increasing interest in applying attention me...
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11/02/2021
Constructing Neural Network-Based Models for Simulating Dynamical Systems
Dynamical systems see widespread use in natural sciences like physics, b...
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10/30/2021
On Quantitative Evaluations of Counterfactuals
As counterfactual examples become increasingly popular for explaining de...
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09/21/2021