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

May 3, 2024

Semantic Objective Functions: A distribution-aware method for adding logical constraints in deep learning
Miguel Angel Mendez-Lucero, Enrique Bojorquez Gallardo, Vaishak Belle
Deep Learning Knowledge Distillation Logical Constraint Symbolic Learning
Deep Learning and Transfer Learning Architectures for English Premier League Player Performance Forecasting
Daniel Frees, Pranav Ravella, Charlie Zhang
Deep Learning Artificial Intelligence Agent Player Performance Google Research Football Neural Architecture Transfer

May 2, 2024

Development of Skip Connection in Deep Neural Networks for Computer Vision and Medical Image Analysis: A Survey
Guoping Xu, Xiaxia Wang, Xinglong Wu, Xuesong Leng, Yongchao Xu
Deep Learning Deep Neural Network Timely Survey Computer Vision Medical Image Analysis Residual Learning
Zero-Shot Monocular Motion Segmentation in the Wild by Combining Deep Learning with Geometric Motion Model Fusion
Yuxiang Huang, Yuhao Chen, John Zelek
Deep Learning Wild Challenge Motion Segmentation Object Motion Zero Shot Video Object Segmentation Hierarchical Motion Dense Segmentation
KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate from a Smartwatch
Christodoulos Kechris, Jonathan Dan, Jose Miranda, David Atienza
Deep Learning PPG Signal Photoplethysmography Data Heart Rate Smartwatch Payment
Wildfire Risk Prediction: A Review
Zhengsen Xu, Jonathan Li, Sibo Cheng, Xue Rui, Yu Zhao, Hongjie He, Linlin Xu
Deep Learning Narrative Review Forest Wildfire Observation Independent Variable Collinearity Wildfire Risk

May 1, 2024

Gaussian Universality in Neural Network Dynamics with Generalized Structured Input Distributions
Jaeyong Bae, Hawoong Jeong
Deep Learning Gaussian Mixture K$ Universality Empirical Evidence Neural Network Dynamic
Three-layer deep learning network random trees for fault detection in chemical production process
Ming Lu, Zhen Gao, Ying Zou, Zuguo Chen, Pei Li
Deep Learning Network Programming Random Tree Linear Model Tree Machine Learning Technology

April 30, 2024

Quantifying Nematodes through Images: Datasets, Models, and Baselines of Deep Learning
Zhipeng Yuan, Nasamu Musa, Katarzyna Dybal, Matthew Back, Daniel Leybourne, Po Yang
Deep Learning Data Set Full Model
Analyzing and Exploring Training Recipes for Large-Scale Transformer-Based Weather Prediction
Jared D. Willard, Peter Harrington, Shashank Subramanian, Ankur Mahesh, Travis A. O'Brien, William D. Collins
Deep Learning Numerical Weather Prediction Forecasting Performance Physic Based Numerical Weather Prediction Training Recipe
Automatic Cardiac Pathology Recognition in Echocardiography Images Using Higher Order Dynamic Mode Decomposition and a Vision Transformer for Small Datasets
Andrés Bell-Navas, Nourelhouda Groun, María Villalba-Orero, Enrique Lara-Pezzi, Jesús Garicano-Mena, Soledad Le Clainche
Deep Learning Convolutional Neural Network Vision Transformer Small Datasets Dynamic Mode Decomposition Myocardial Pathology Segmentation
Human-AI Interaction in Industrial Robotics: Design and Empirical Evaluation of a User Interface for Explainable AI-Based Robot Program Optimization
Benjamin Alt, Johannes Zahn, Claudius Kienle, Julia Dvorak, Marvin May, Darko Katic, Rainer Jäkel, Tobias Kopp, Michael Beetz, Gisela Lanza
Deep Learning Explainable AI Human AI Interaction Industrial Robot Empirical Evaluation Robot Programming User Interface
Data Set Terminology of Deep Learning in Medicine: A Historical Review and Recommendation
Shannon L. Walston, Hiroshi Seki, Hirotaka Takita, Yasuhito Mitsuyama, Shingo Sato, Akifumi Hagiwara, Rintaro Ito, Shouhei Hanaoka, Yukio Miki, Daiju Ueda
Deep Learning Artificial Intelligence Effective Recommendation Historical Text Medical Artificial Intelligence

April 29, 2024

Scalable Bayesian Inference in the Era of Deep Learning: From Gaussian Processes to Deep Neural Networks
Javier Antoran
Neural Network Deep Learning Deep Neural Network Deep Learning Model Gaussian Process New Era Model Uncertainty Posterior Sampling Neural Network Inference Scalable Bayesian
Joint Signal Detection and Automatic Modulation Classification via Deep Learning
Huijun Xing, Xuhui Zhang, Shuo Chang, Jinke Ren, Zixun Zhang, Jie Xu, Shuguang Cui
Deep Learning Abnormal Signal Joint Detection Modulation Classification Automatic Modulation Classification
Machine Learning for Windows Malware Detection and Classification: Methods, Challenges and Ongoing Research
Daniel Gibert
Deep Learning Machine Learning Classification Code NCD Method Malware Detection Based Malware Current Research
Unleashing the Power of Multi-Task Learning: A Comprehensive Survey Spanning Traditional, Deep, and Pretrained Foundation Model Eras
Jun Yu, Yutong Dai, Xiaokang Liu, Jin Huang, Yishan Shen, Ke Zhang, Rong Zhou, Eashan Adhikarla, Wenxuan Ye, Yixin Liu, Zhaoming Kong, Kai Zhang, Yilong Yin, Vinod Namboodiri, Brian D. Davison, Jason H. Moore, Yong Chen
Deep Learning Foundation Model Multi Task Learning Comprehensive Survey Real Power Domain Generalizability Learning Paradigm New MTL Framework
Research on Intelligent Aided Diagnosis System of Medical Image Based on Computer Deep Learning
Jiajie Yuan, Linxiao Wu, Yulu Gong, Zhou Yu, Ziang Liu, Shuyao He
Deep Learning Medical Image DH Research Medical Image Data Computer Aided
Physics-informed Convolutional Neural Network for Microgrid Economic Dispatch
Xiaoyu Ge, Javad Khazaei
Deep Learning DC Microgrid Application Economic Dispatch Physic Informed Convolutional Neural Network
Post-hoc and manifold explanations analysis of facial expression data based on deep learning
Yang Xiao
Deep Learning Deep Learning Model Facial Expression Manifold Learning Human Cognition Deep Learning Technology Post Hoc Facial Data

Deep Learning

Papers

Semantic Objective Functions: A distribution-aware method for adding logical constraints in deep learning

Deep Learning and Transfer Learning Architectures for English Premier League Player Performance Forecasting

Development of Skip Connection in Deep Neural Networks for Computer Vision and Medical Image Analysis: A Survey

Zero-Shot Monocular Motion Segmentation in the Wild by Combining Deep Learning with Geometric Motion Model Fusion

KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate from a Smartwatch

Wildfire Risk Prediction: A Review

Gaussian Universality in Neural Network Dynamics with Generalized Structured Input Distributions

Three-layer deep learning network random trees for fault detection in chemical production process

Quantifying Nematodes through Images: Datasets, Models, and Baselines of Deep Learning

Analyzing and Exploring Training Recipes for Large-Scale Transformer-Based Weather Prediction

Automatic Cardiac Pathology Recognition in Echocardiography Images Using Higher Order Dynamic Mode Decomposition and a Vision Transformer for Small Datasets

Human-AI Interaction in Industrial Robotics: Design and Empirical Evaluation of a User Interface for Explainable AI-Based Robot Program Optimization

Data Set Terminology of Deep Learning in Medicine: A Historical Review and Recommendation

Scalable Bayesian Inference in the Era of Deep Learning: From Gaussian Processes to Deep Neural Networks

Joint Signal Detection and Automatic Modulation Classification via Deep Learning

Machine Learning for Windows Malware Detection and Classification: Methods, Challenges and Ongoing Research

Unleashing the Power of Multi-Task Learning: A Comprehensive Survey Spanning Traditional, Deep, and Pretrained Foundation Model Eras

Research on Intelligent Aided Diagnosis System of Medical Image Based on Computer Deep Learning

Physics-informed Convolutional Neural Network for Microgrid Economic Dispatch

Post-hoc and manifold explanations analysis of facial expression data based on deep learning