Deep Learning

Deep learning, a subfield of machine learning, focuses on training artificial neural networks with multiple layers to extract complex patterns from data. Current research emphasizes improving model robustness against noisy or adversarial inputs, exploring efficient architectures like Vision Transformers and convolutional LSTMs for various tasks (e.g., image classification, time series forecasting), and integrating physics-informed approaches for enhanced interpretability and reliability. These advancements are significantly impacting diverse fields, from automated industrial inspection and medical image analysis to improved weather forecasting and more efficient content moderation systems.

Papers

June 2, 2024

A Diagnostic Model for Acute Lymphoblastic Leukemia Using Metaheuristics and Deep Learning Methods
Amir Masoud Rahmani, Parisa Khoshvaght, Hamid Alinejad-Rokny, Samira Sadeghi, Parvaneh Asghari, Zohre Arabi, Mehdi Hosseinzadeh
Deep Learning Machine Learning Metaheuristic Algorithm Diagnostic Model Acute Lymphoblastic Leukemia
A Survey of Deep Learning Based Radar and Vision Fusion for 3D Object Detection in Autonomous Driving
Di Wu, Feng Yang, Benlian Xu, Pan Liao, Bo Liu
Deep Learning Timely Survey Autonomous Driving Autonomous Vehicle 3D Object Detection Autonomous Driving Technology 4 Dimensional Radar Radar Perception

June 1, 2024

Effective Data Selection for Seismic Interpretation through Disagreement
Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib
Deep Learning Deep Learning Algorithm Data Selection Opinion Disagreement Seismic Image Seismic Interpretation
Research on the Application of Computer Vision Based on Deep Learning in Autonomous Driving Technology
Jingyu Zhang, Jin Cao, Jinghao Chang, Xinjin Li, Houze Liu, Zhenglin Li
Deep Learning Convolutional Neural Network Deep Reinforcement Learning Autonomous Driving Computer Vision Application Proficiency DH Research Autonomous Driving Technology Computer Vision Technology
Arabic Handwritten Text for Person Biometric Identification: A Deep Learning Approach
Mazen Balat, Youssef Mohamed, Ahmed Heakl, Ahmed Zaky
Deep Learning Deep Learning Model Deep Learning Approach Character Recognition Biometric Identification Biometric System Arabic Text
An Effective Weight Initialization Method for Deep Learning: Application to Satellite Image Classification
Wadii Boulila, Eman Alshanqiti, Ayyub Alzahem, Anis Koubaa, Nabil Mlaiki
Deep Learning Application Proficiency Satellite Image Weight Initialization
A Structured Review of Literature on Uncertainty in Machine Learning & Deep Learning
Fahimeh Fakour, Ali Mosleh, Ramin Ramezani
Deep Learning Machine Learning Uncertainty Quantification High Uncertainty Anticipation Uncertainty Estimation English Literature

May 31, 2024

Advancing Ear Biometrics: Enhancing Accuracy and Robustness through Deep Learning
Youssef Mohamed, Zeyad Youssef, Ahmed Heakl, Ahmed Zaky
Deep Learning Native Robustness Biometric Identification Ear Recognition
Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality
Tri Dao, Albert Gu
Deep Learning Transformer Megatron Decepticons State Space Model Efficient Algorithm Generalized Framework Structured Matrix
An Organic Weed Control Prototype using Directed Energy and Deep Learning
Deng Cao, Hongbo Zhang, Rajveer Dhillon
Deep Learning Robot Person Energy Deposition Robotic Weed Weed Control Weed Recognition
Communication-Efficient Distributed Deep Learning via Federated Dynamic Averaging
Michail Theologitis, Georgios Frangias, Georgios Anestis, Vasilis Samoladas, Antonios Deligiannakis
Deep Learning Federated Averaging Communication Efficient Synchronization Parameter Update Barrier
Searching for internal symbols underlying deep learning
Jung H. Lee, Sujith Vijayan
Deep Learning LeArning Abstract Deep Neural Network Code Data Symbol Description
Deep Learning without Weight Symmetry
Li Ji-An, Marcus K. Benna
Deep Learning Back Propagation Balancing Weight Feedback Alignment Neural Network Dynamic
Capturing Climatic Variability: Using Deep Learning for Stochastic Downscaling
Kiri Daust, Adam Monahan
Deep Learning Statistical Downscaling Climate Downscaling Climate Variability Resolution Climate
Uncertainty Quantification for Deep Learning
Peter Jan van Leeuwen, J. Christine Chiu, C. Kevin Yang
Deep Learning Uncertainty Quantification High Uncertainty Anticipation Prediction Uncertainty

May 30, 2024

Optimizing cnn-Bigru performance: Mish activation and comparative analysis with Relu
Asmaa Benchama, Khalid Zebbara
Neural Network Deep Learning Comparative Study Intrusion Detection System ReLU Layer CNN Performance Capturing Extreme Activation
Deep Learning Approaches for Detecting Adversarial Cyberbullying and Hate Speech in Social Networks
Sylvia Worlali Azumah, Nelly Elsayed, Zag ElSayed, Murat Ozer, Amanda La Guardia
Deep Learning Hate Speech Social Network Malicious Agent Cyber Bullying
Deep Learning for Computing Convergence Rates of Markov Chains
Yanlin Qu, Jose Blanchet, Peter Glynn
Deep Learning State Space Model Markov Chain Convergence Bound Convergence Rate Analysis
Spatiotemporal Predictions of Toxic Urban Plumes Using Deep Learning
Yinan Wang, M. Giselle Fernández-Godino, Nipun Gunawardena, Donald D. Lucas, Xiaowei Yue
Deep Learning Spatiotemporal Prediction Gas Plume
Back to the Basics on Predicting Transfer Performance
Levy Chaves, Eduardo Valle, Alceu Bissoto, Sandra Avila
Deep Learning Pre Trained Model Supervised ImageNet Task Transferability Basic Concept Transfer Risk Transferability Score

Deep Learning

Papers

A Diagnostic Model for Acute Lymphoblastic Leukemia Using Metaheuristics and Deep Learning Methods

A Survey of Deep Learning Based Radar and Vision Fusion for 3D Object Detection in Autonomous Driving

Effective Data Selection for Seismic Interpretation through Disagreement

Research on the Application of Computer Vision Based on Deep Learning in Autonomous Driving Technology

Arabic Handwritten Text for Person Biometric Identification: A Deep Learning Approach

An Effective Weight Initialization Method for Deep Learning: Application to Satellite Image Classification

A Structured Review of Literature on Uncertainty in Machine Learning & Deep Learning

Advancing Ear Biometrics: Enhancing Accuracy and Robustness through Deep Learning

Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

An Organic Weed Control Prototype using Directed Energy and Deep Learning

Communication-Efficient Distributed Deep Learning via Federated Dynamic Averaging

Searching for internal symbols underlying deep learning

Deep Learning without Weight Symmetry

Capturing Climatic Variability: Using Deep Learning for Stochastic Downscaling

Uncertainty Quantification for Deep Learning

Optimizing cnn-Bigru performance: Mish activation and comparative analysis with Relu

Deep Learning Approaches for Detecting Adversarial Cyberbullying and Hate Speech in Social Networks

Deep Learning for Computing Convergence Rates of Markov Chains

Spatiotemporal Predictions of Toxic Urban Plumes Using Deep Learning

Back to the Basics on Predicting Transfer Performance