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

January 14, 2025

Continual Deep Active Learning for Medical Imaging: Replay-Base Architecture for Context Adaptation
Rui Daniel, M. Rita Verdelho, Catarina Barata, Carlos Santiago
Deep Learning Transfer Learning Active Learning Class Incremental Learning Medical Imaging Architecture Design Contextual Adapter
A Feature-Level Ensemble Model for COVID-19 Identification in CXR Images using Choquet Integral and Differential Evolution Optimization
Amir Reza Takhsha, Maryam Rastgarpour, Mozhgan Naderi
Deep Learning Convolutional Neural Network Covid 19 Chest X Ray Differential Evolution COVID 19 Case Ensemble Feature Choquet Integral
Revolutionizing Communication with Deep Learning and XAI for Enhanced Arabic Sign Language Recognition
Mazen Balat, Rewaa Awaad, Ahmed B. Zaky, Salah A. Aly
Deep Learning Inherent Interpretability xAI Community State of the Art Deep Communication Model Arabic Sign Language
Tutorial: VAE as an inference paradigm for neuroimaging
C. Vázquez-García, F. J. Martínez-Murcia, F. Segovia Román, Juan M. Górriz Sáez
Deep Learning Unsupervised Learning Variational Autoencoders Tutorial Review Lung VAE Interpretable Representation
Aviation Safety Enhancement via NLP & Deep Learning: Classifying Flight Phases in ATSB Safety Reports
Aziida Nanyonga, Hassan Wasswa, Graham Wild
Deep Learning Natural Language NLP Field LSTM Network Safety Enhancement
Deep Learning and Natural Language Processing in the Field of Construction
Rémy Kessler (LIA), Nicolas Béchet (IRISA, EXPRESSION, UBS Vannes)
Deep Learning Natural Language Processing Limited Field Construction Industry Corpus Based Hyponym Hypernym Pair Term Extraction
Deep Learning for Disease Outbreak Prediction: A Robust Early Warning Signal for Transcritical Bifurcations
Reza Miry, Amit K. Chakraborty, Russell Greiner, Mark A. Lewis, Hao Wang, Tianyu Guan, Pouria Ramazi
Deep Learning Robust Version Epidemic Forecasting Bifurcation Diagram Early Warning Novel Behavior Disease Modeling

January 13, 2025

Derivation of effective gradient flow equations and dynamical truncation of training data in Deep Learning
Thomas Chen
Deep Learning Training Data Gradient Descent Supervised Learning Gradient Flow ReLU Activation Mathematical Derivation
Microphone Array Signal Processing and Deep Learning for Speech Enhancement
Reinhold Haeb-Umbach, Tomohiro Nakatani, Marc Delcroix, Christoph Boeddeker, Tsubasa Ochiai
Deep Learning Speech Analysis Feature Enhancement Speech Dereverberation Spatial Filtering Acoustic Signal Processing
Lung Cancer detection using Deep Learning
Aryan Chaudhari, Ankush Singh, Sanchi Gajbhiye, Pratham Agrawal
Deep Learning Convolutional Neural Network Support Vector Machine Early Detection Lung Cancer Detection
Adaptive Noise-Tolerant Network for Image Segmentation
Weizhi Li
Deep Learning Image Segmentation Adaptive Importance Better Segmentation Manual Segmentation Noise Tolerant Network
IoT-Based Real-Time Medical-Related Human Activity Recognition Using Skeletons and Multi-Stage Deep Learning for Healthcare
Subrata Kumer Paul, Abu Saleh Musa Miah, Rakhi Rani Paul, Md. Ekramul Hamid, Jungpil Shin, Md Abdur Rahim
Deep Learning Healthcare System Health Monitoring Human Skeleton Patient Monitoring Motion Recognition Medical Action Recognition

January 12, 2025

A Hessian-informed hyperparameter optimization for differential learning rate
Shiyun Xu, Zhiqi Bu, Yiliang Zhang, Ian Barnett
Deep Learning Hyperparameter Optimization Learning Rate Hessian Matrix Universal Rate Loss Curvature
Deep Learning and Foundation Models for Weather Prediction: A Survey
Jimeng Shi, Azam Shirali, Bowen Jin, Sizhe Zhou, Wei Hu, Rahuul Rangaraj, Shaowen Wang, Jiawei Han, Zhaonan Wang, Upmanu Lall, Yanzhao Wu, Leonardo Bobadilla, Giri Narasimhan
Deep Learning Timely Survey Foundation Model Weather Forecasting Recent Deep Learning
ZOQO: Zero-Order Quantized Optimization
Noga Bar, Raja Giryes
Deep Learning Optimization Purpose Multiplier Free Quantization Zeroth Order

January 11, 2025

Deep Learning on Hester Davis Scores for Inpatient Fall Prediction
Hojjat Salehinejad, Ricky Rojas, Kingsley Iheasirim, Mohammed Yousufuddin, Bijan Borah
Deep Learning Performance Score Fall Detection Reliable Prediction Winter Related Fall Injury
IPP-Net: A Generalizable Deep Neural Network Model for Indoor Pathloss Radio Map Prediction
Bin Feng, Meng Zheng, Wei Liang, Lei Zhang
Deep Learning Path Loss Pathloss Prediction

January 10, 2025

Towards Iris Presentation Attack Detection with Foundation Models
Juan E. Tapia, Lázaro Janier González-Soler, Christoph Busch
Deep Learning Foundation Model Presentation Attack Detection Iris Presentation Attack Detection Near Infrared Iris Image
Averaged Adam accelerates stochastic optimization in the training of deep neural network approximations for partial differential equation and optimal control problems
Steffen Dereich, Arnulf Jentzen, Adrian Riekert
Deep Learning Stochastic Gradient Descent Partial Differential Equation Optimal Control Stochastic Optimization Adam Optimizer Deep Neural Network Approximation
Orthogonal projection-based regularization for efficient model augmentation
Bendegúz M. Györök, Jan H. Hoekstra, Johan Kon, Tamás Péni, Maarten Schoukens, Roland Tóth
Deep Learning Soft Augmentation Physic Based Efficient Model Post Hoc Orthogonalization Nonlinear System Identification

Deep Learning

Papers

Continual Deep Active Learning for Medical Imaging: Replay-Base Architecture for Context Adaptation

A Feature-Level Ensemble Model for COVID-19 Identification in CXR Images using Choquet Integral and Differential Evolution Optimization

Revolutionizing Communication with Deep Learning and XAI for Enhanced Arabic Sign Language Recognition

Tutorial: VAE as an inference paradigm for neuroimaging

Aviation Safety Enhancement via NLP & Deep Learning: Classifying Flight Phases in ATSB Safety Reports

Deep Learning and Natural Language Processing in the Field of Construction

Deep Learning for Disease Outbreak Prediction: A Robust Early Warning Signal for Transcritical Bifurcations

Derivation of effective gradient flow equations and dynamical truncation of training data in Deep Learning

Microphone Array Signal Processing and Deep Learning for Speech Enhancement

Lung Cancer detection using Deep Learning

Adaptive Noise-Tolerant Network for Image Segmentation

IoT-Based Real-Time Medical-Related Human Activity Recognition Using Skeletons and Multi-Stage Deep Learning for Healthcare

A Hessian-informed hyperparameter optimization for differential learning rate

Deep Learning and Foundation Models for Weather Prediction: A Survey

ZOQO: Zero-Order Quantized Optimization

Deep Learning on Hester Davis Scores for Inpatient Fall Prediction

IPP-Net: A Generalizable Deep Neural Network Model for Indoor Pathloss Radio Map Prediction

Towards Iris Presentation Attack Detection with Foundation Models

Averaged Adam accelerates stochastic optimization in the training of deep neural network approximations for partial differential equation and optimal control problems

Orthogonal projection-based regularization for efficient model augmentation