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

November 10, 2023

Deep learning for 3D Object Detection and Tracking in Autonomous Driving: A Brief Survey
Yang Peng
Deep Learning Autonomous Driving 3D Object Detection Web Tracking Point Cloud Learning
Robust Adversarial Attacks Detection for Deep Learning based Relative Pose Estimation for Space Rendezvous
Ziwei Wang, Nabil Aouf, Jose Pizarro, Christophe Honvault
Deep Learning Adversarial Attack Relative Pose Adversarial Detection Rendezvous Problem Autonomous Spacecraft Adversarial Attack Detection Relative Positional
Comparing Male Nyala and Male Kudu Classification using Transfer Learning with ResNet-50 and VGG-16
T. T Lemani, T. L. van Zyl
Deep Learning Computer Vision Transfer Learning Pre Trained Model Pink Elephant Animal Identification
IODeep: an IOD for the introduction of deep learning in the DICOM standard
Salvatore Contino, Luca Cruciata, Orazio Gambino, Roberto Pirrone
Deep Learning Gentle Introduction Biomedical Image Segmentation Imaging and Communication in Medicine Neural Network Selection
Adaptive Variance Thresholding: A Novel Approach to Improve Existing Deep Transfer Vision Models and Advance Automatic Knee-Joint Osteoarthritis Classification
Fabi Prezja, Leevi Annala, Sampsa Kiiskinen, Suvi Lahtinen, Timo Ojala
Deep Learning Novel Approach Knee Osteoarthritis Adaptive Thresholding

November 9, 2023

The Paradox of Noise: An Empirical Study of Noise-Infusion Mechanisms to Improve Generalization, Stability, and Privacy in Federated Learning
Elaheh Jafarigol, Theodore Trafalis
Deep Learning Strong Generalization Industrial Disturbing Noise Privacy Policy Federated Learning Framework Noise Injection Additive Noise
Intelligent Cervical Spine Fracture Detection Using Deep Learning Methods
Reza Behbahani Nejad, Amir Hossein Komijani, Esmaeil Najafi
Deep Learning Data Detection Fracture Detection Vertebral Fracture
A Deep Learning Method for Simultaneous Denoising and Missing Wedge Reconstruction in Cryogenic Electron Tomography
Simon Wiedemann, Reinhard Heckel
Deep Learning Joint Denoising Structured Reconstruction Back Projection 2 Dimensional Projection Cryo EM Reconstruction
Deep learning in computed tomography pulmonary angiography imaging: a dual-pronged approach for pulmonary embolism detection
Fabiha Bushra, Muhammad E. H. Chowdhury, Rusab Sarmun, Saidul Kabir, Menatalla Said, Sohaib Bassam Zoghoul, Adam Mushtak, Israa Al-Hashimi, Abdulrahman Alqahtani, Anwarul Hasan
Deep Learning CNN Network Pulmonary Angiography Dual Approach Convolutional Attention Pulmonary Embolism Pulmonary Embolism Diagnosis

November 8, 2023

DeepLearningBrasil@LT-EDI-2023: Exploring Deep Learning Techniques for Detecting Depression in Social Media Text
Eduardo Garcia, Juliana Gomes, Adalberto Barbosa Júnior, Cardeque Borges, Nádia da Silva
Deep Learning Social Medium Mental Health Deeper Network Depression Symptom Reddit Dataset
Deep Learning-Based Frequency Offset Estimation
Tao Chen, Shilian Zheng, Jiawei Zhu, Qi Xuan, Xiaoniu Yang
Deep Learning ResNet Model Frequency Estimation
A Deep Learning Based Resource Allocator for Communication Systems with Dynamic User Utility Demands
Pourya Behmandpoor, Mark Eisen, Panagiotis Patrinos, Marc Moonen
Deep Learning Deep Neural Network Resource Allocation Communication System Learning Based Resource Allocation Preference Drift
Deep learning as a tool for quantum error reduction in quantum image processing
Krzysztof Werner, Kamil Wereszczyński, Rafał Potempa, Krzysztof Cyran
Deep Learning Quantum Computer BRIO Tool Quantum Error Quantum Image Quantum Representation
Auto deep learning for bioacoustic signals
Giulio Tosato, Abdelrahman Shehata, Joshua Janssen, Kees Kamp, Pramatya Jati, Dan Stowell
Deep Learning Audio Classification Main CAR Sale Factor Bird Specie Classification Computational Bioacoustics
Explainable AI for Earth Observation: Current Methods, Open Challenges, and Opportunities
Gulsen Taskin, Erchan Aptoula, Alp Ertürk
Deep Learning Explainable AI Remote Sensing Emerging Opportunity Open Challenge Current Method

November 7, 2023

November 6, 2023

A Recent Survey of the Advancements in Deep Learning Techniques for Monkeypox Disease Detection
Saddam Hussain Khan, Rashid Iqbal, Saeeda Naz
Deep Learning Timely Survey Monkeypox Disease Mpox Detection Mpox Outbreak Monkeypox Disease Detection
Navigating Scaling Laws: Compute Optimality in Adaptive Model Training
Sotiris Anagnostidis, Gregor Bachmann, Imanol Schlag, Thomas Hofmann
Deep Learning Large Model Scaling Law Near Optimality Adaptive Model Adaptive Training

Deep Learning

Papers

Deep learning for 3D Object Detection and Tracking in Autonomous Driving: A Brief Survey

Robust Adversarial Attacks Detection for Deep Learning based Relative Pose Estimation for Space Rendezvous

Comparing Male Nyala and Male Kudu Classification using Transfer Learning with ResNet-50 and VGG-16

IODeep: an IOD for the introduction of deep learning in the DICOM standard

Adaptive Variance Thresholding: A Novel Approach to Improve Existing Deep Transfer Vision Models and Advance Automatic Knee-Joint Osteoarthritis Classification

The Paradox of Noise: An Empirical Study of Noise-Infusion Mechanisms to Improve Generalization, Stability, and Privacy in Federated Learning

Intelligent Cervical Spine Fracture Detection Using Deep Learning Methods

A Deep Learning Method for Simultaneous Denoising and Missing Wedge Reconstruction in Cryogenic Electron Tomography

Deep learning in computed tomography pulmonary angiography imaging: a dual-pronged approach for pulmonary embolism detection

DeepLearningBrasil@LT-EDI-2023: Exploring Deep Learning Techniques for Detecting Depression in Social Media Text

Deep Learning-Based Frequency Offset Estimation

A Deep Learning Based Resource Allocator for Communication Systems with Dynamic User Utility Demands

Deep learning as a tool for quantum error reduction in quantum image processing

Auto deep learning for bioacoustic signals

Explainable AI for Earth Observation: Current Methods, Open Challenges, and Opportunities

Enhancing Malware Detection by Integrating Machine Learning with Cuckoo Sandbox

Analysis of NaN Divergence in Training Monocular Depth Estimation Model

Analysis and Applications of Deep Learning with Finite Samples in Full Life-Cycle Intelligence of Nuclear Power Generation

A Recent Survey of the Advancements in Deep Learning Techniques for Monkeypox Disease Detection

Navigating Scaling Laws: Compute Optimality in Adaptive Model Training