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 18, 2024

A Cutting-Edge Deep Learning Method For Enhancing IoT Security
Nadia Ansar, Mohammad Sadique Ansari, Mohammad Sharique, Aamina Khatoon, Md Abdul Malik, Md Munir Siddiqui
Deep Learning Internet of Thing Intrusion Detection System Internet of Thing Network
Time Series Modeling for Heart Rate Prediction: From ARIMA to Transformers
Haowei Ni, Shuchen Meng, Xieming Geng, Panfeng Li, Zhuoying Li, Xupeng Chen, Xiaotong Wang, Shiyao Zhang
Deep Learning Deep Learning Model Transformer Megatron Decepticons Time Series LSTM Network Real World Clinical Heart Rate Estimation Integrated Moving Average
Location-based Radiology Report-Guided Semi-supervised Learning for Prostate Cancer Detection
Alex Chen, Nathan Lay, Stephanie Harmon, Kutsev Ozyoruk, Enis Yilmaz, Brad J. Wood, Peter A. Pinto, Peter L. Choyke, Baris Turkbey
Deep Learning Semi Supervised Learning Prostate Cancer Unlabeled Image

June 17, 2024

Spectral Introspection Identifies Group Training Dynamics in Deep Neural Networks for Neuroimaging
Bradley T. Baker, Vince D. Calhoun, Sergey M. Plis
Deep Learning Deep Neural Network Synthetic Spectrum
Deep Learning methodology for the identification of wood species using high-resolution macroscopic images
David Herrera-Poyatos, Andrés Herrera-Poyatos, Rosana Montes, Paloma de Palacios, Luis G. Esteban, Alberto García Iruela, Francisco García Fernández, Francisco Herrera
Deep Learning Person Identification Tree Specie Wood Specie Ultra High Resolution Image
An Interpretable Alternative to Neural Representation Learning for Rating Prediction -- Transparent Latent Class Modeling of User Reviews
Giuseppe Serra, Peter Tino, Zhao Xu, Xin Yao
Deep Learning Representation Learning Recommender System Latent Class Rating Prediction User Review Latent Label

June 16, 2024

Advancing Solar Flare Prediction using Deep Learning with Active Region Patches
Chetraj Pandey, Temitope Adeyeha, Jinsu Hong, Rafal A. Angryk, Berkay Aydin
Deep Learning Solar Flare Protoplanetary Disk Active Region Flare Forecasting
Physics-Informed Deep Learning and Partial Transfer Learning for Bearing Fault Diagnosis in the Presence of Highly Missing Data
Mohammadreza Kavianpour, Parisa Kavianpour, Amin Ramezani
Deep Learning Domain Adaptation Speech Presence Missing Data Physic Informed Deep Learning Fault Diagnosis Partial Domain Adaptation

June 15, 2024

Occam's Razor for Self Supervised Learning: What is Sufficient to Learn Good Representations?
Mark Ibrahim, David Klindt, Randall Balestriero
Deep Learning Self Supervised Learned Representation Hyper Parameter High Quality Representation Occam Algorithm
Calibrating Neural Networks' parameters through Optimal Contraction in a Prediction Problem
Valdes Gonzalo
Neural Network Deep Learning Loss Function Recurrent Neural Network Many Parameter Contraction Theory Prediction Problem
The Implicit Bias of Adam on Separable Data
Chenyang Zhang, Difan Zou, Yuan Cao
Deep Learning Gradient Descent Implicit Bias Logistic Regression Linear Classifier Separable Data
Model Evaluation and Anomaly Detection in Temporal Complex Networks using Deep Learning Methods
Alireza Rashnu, Sadegh Aliakbary
Deep Learning Generative Model Anomaly Detection Complex Network Model Evaluation Temporal Network

June 14, 2024

On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey
Lin Long, Rui Wang, Ruixuan Xiao, Junbo Zhao, Xiao Ding, Gang Chen, Haobo Wang
Deep Learning Timely Survey Global Evaluation Synthetic Data Generation Real World Data Automatic Curation
Deep Symbolic Optimization for Combinatorial Optimization: Accelerating Node Selection by Discovering Potential Heuristics
Hongyu Liu, Haoyang Liu, Yufei Kuang, Jie Wang, Bin Li
Deep Learning Simple Heuristic Mathematical Expression Node Selection Symbolic Optimization

June 13, 2024

Why Warmup the Learning Rate? Underlying Mechanisms and Improvements
Dayal Singh Kalra, Maissam Barkeshli
Deep Learning Learning Rate Large Relevance Improvement Functional Mechanism Warmup Period
Schur's Positive-Definite Network: Deep Learning in the SPD cone with structure
Can Pouliquen, Mathurin Massias, Titouan Vayer
Deep Learning Inner Structure Sparse Matrix Symmetric Positive Definite Matrix Estimation
Tool Wear Prediction in CNC Turning Operations using Ultrasonic Microphone Arrays and CNNs
Jan Steckel, Arne Aerts, Erik Verreycken, Dennis Laurijssen, Walter Daems
Deep Learning Convolutional Neural Network Acoustic Data Tool Wear Ultrasonic Sensor Machining Feature Hydrophone Array
Research on Early Warning Model of Cardiovascular Disease Based on Computer Deep Learning
Yuxiang Hu, Jinxin Hu, Ting Xu, Bo Zhang, Jiajie Yuan, Haozhang Deng
Deep Learning Convolutional Neural Network DH Research Early Warning Cardiovascular Disease Adam Algorithm

June 12, 2024

Opportunities in deep learning methods development for computational biology
Alex Jihun Lee, Reza Abbasi-Asl
Deep Learning Emerging Opportunity Computational Biology
Deep Learning Based Joint Multi-User MISO Power Allocation and Beamforming Design
Cemil Vahapoglu, Timothy J. O'Shea, Tamoghna Roy, Sennur Ulukus
Deep Learning Adaptive Beamforming Spectral Efficiency Beamforming Design Joint Power

Deep Learning

Papers

A Cutting-Edge Deep Learning Method For Enhancing IoT Security

Time Series Modeling for Heart Rate Prediction: From ARIMA to Transformers

Location-based Radiology Report-Guided Semi-supervised Learning for Prostate Cancer Detection

Spectral Introspection Identifies Group Training Dynamics in Deep Neural Networks for Neuroimaging

Deep Learning methodology for the identification of wood species using high-resolution macroscopic images

An Interpretable Alternative to Neural Representation Learning for Rating Prediction -- Transparent Latent Class Modeling of User Reviews

Advancing Solar Flare Prediction using Deep Learning with Active Region Patches

Physics-Informed Deep Learning and Partial Transfer Learning for Bearing Fault Diagnosis in the Presence of Highly Missing Data

Occam's Razor for Self Supervised Learning: What is Sufficient to Learn Good Representations?

Calibrating Neural Networks' parameters through Optimal Contraction in a Prediction Problem

The Implicit Bias of Adam on Separable Data

Model Evaluation and Anomaly Detection in Temporal Complex Networks using Deep Learning Methods

On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Deep Symbolic Optimization for Combinatorial Optimization: Accelerating Node Selection by Discovering Potential Heuristics

Why Warmup the Learning Rate? Underlying Mechanisms and Improvements

Schur's Positive-Definite Network: Deep Learning in the SPD cone with structure

Tool Wear Prediction in CNC Turning Operations using Ultrasonic Microphone Arrays and CNNs

Research on Early Warning Model of Cardiovascular Disease Based on Computer Deep Learning

Opportunities in deep learning methods development for computational biology

Deep Learning Based Joint Multi-User MISO Power Allocation and Beamforming Design