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

December 30, 2024

Fall Detection in Passenger Elevators using Intelligent Surveillance Camera Systems: An Application with YoloV8 Nano Model
Pinar Yozgatli, Yavuz Acar, Mehmet Tulumen, Selman Minga, Salih Selamet, Beytullah Nalbant, Mustafa Talha Toru, Berna Koca, Tevfik Keles, Mehmet Selcok
Deep Learning Fall Detection Video Surveillance
Attention Is All You Need For Mixture-of-Depths Routing
Advait Gadhikar, Souptik Kumar Majumdar, Niclas Popp, Piyapat Saranrittichai, Martin Rapp, Lukas Schott
Deep Learning Supervised ImageNet Human Attention Gaussian Mixture Dynamic Routing Efficient Transfer Learning Depth Anything
Differentiable Convex Optimization Layers in Neural Architectures: Foundations and Perspectives
Calder Katyal
Deep Learning Neural Architecture Synthesized View Optimization Problem Flawed Foundation Optimization Layer Differentiable Convex

December 29, 2024

Predicting Preschoolers' Externalizing Problems with Mother-Child Interaction Dynamics and Deep Learning
Xi Chen, Yu Ji, Cong Xia, Wen Wu
Deep Learning Related Problem Structural Equation Interaction Dynamic
Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data
Weijie He, Tong Zhou, Yanlin Xiang, Yang Lin, Jiacheng Hu, Runyuan Bao
Deep Learning Convolutional Neural Network Image Classification System Performance Ventilator Associated Pneumonia Complex Datasets Pneumonia Diagnosis

December 28, 2024

Transformer-Based Contrastive Meta-Learning For Low-Resource Generalizable Activity Recognition
Junyao Wang, Mohammad Abdullah Al Faruque
Deep Learning Representation Learning Loss Function Activity Recognition Low Resource Contrastive Meta Learning
Plastic Waste Classification Using Deep Learning: Insights from the WaDaBa Dataset
Suman Kunwar, Banji Raphael Owabumoye, Abayomi Simeon Alade
Deep Learning Convolutional Neural Network DCU Insight AQ E Waste
Machine and Deep Learning for Credit Scoring: A compliant approach
Abdollah Rida
Deep Learning New Machine Gradient Boosting Credit Scoring Credit Scoring Model
Real-time Calibration Model for Low-cost Sensor in Fine-grained Time series
Seokho Ahn, Hyungjin Kim, Sungbok Shin, Young-Duk Seo
Deep Learning Fine Grained Low Cost TV Show Online Calibration
Self-Assembly of a Biologically Plausible Learning Circuit
Qianli Liao, Liu Ziyin, Yulu Gan, Brian Cheung, Mark Harnett, Tomaso Poggio
Deep Learning Back Propagation Probabilistic Circuit Spike Stream Synaptic Change

December 27, 2024

YOLO-MST: Multiscale deep learning method for infrared small target detection based on super-resolution and YOLO
Taoran Yue, Xiaojin Lu, Jiaxi Cai, Yuanping Chen, Shibing Chu
Deep Learning Data Detection Super Resolution Multi Scale Image Super Resolution High Detection Small Target Detection Infrared Small Detection Head
Image Classification with Deep Reinforcement Active Learning
Mingyuan Jiu, Xuguang Song, Hichem Sahbi, Shupan Li, Yan Chen, Wei Guo, Lihua Guo, Mingliang Xu
Deep Learning Deep Reinforcement Learning Active Learning Image Classification
DLScanner: A parameter space scanner package assisted by deep learning methods
A. Hammad, Raymundo Ramos
Deep Learning NCD Method Structured Output Representation Space Dynamic Sampling High Dimensional Image
Chimera: A Block-Based Neural Architecture Search Framework for Event-Based Object Detection
Diego A. Silva, Ahmed Elsheikh, Kamilya Smagulova, Mohammed E. Fouda, Ahmed M. Eltawil
Deep Learning Neural Architecture Search RGB Image Person Detection Event Based Object Detection
Gx2Mol: De Novo Generation of Hit-like Molecules from Gene Expression Profiles via Deep Learning
Chen Li, Yuki Matsukiyo, Yoshihiro Yamanishi
Deep Learning Molecular Graph Deep Generative Model Drug Like Novel Molecule De Novo Molecular Input Line Entry System

December 25, 2024

Fusion of Deep Learning and GIS for Advanced Remote Sensing Image Analysis
Sajjad Afroosheh, Mohammadreza Askari
Deep Learning Convolutional Neural Network General Analysis CNN Model Hybrid Fusion High Resolution Remote Sensing
Resource-Efficient Transformer Architecture: Optimizing Memory and Execution Time for Real-Time Applications
Krisvarish V, Priyadarshini T, K P Abhishek Sri Saai, Vaidehi Vijayakumar
Deep Learning Transformer Megatron Decepticons Real Time Memory Trace Memory Efficient Execution Time

Deep Learning

Papers

Fall Detection in Passenger Elevators using Intelligent Surveillance Camera Systems: An Application with YoloV8 Nano Model

Attention Is All You Need For Mixture-of-Depths Routing

Differentiable Convex Optimization Layers in Neural Architectures: Foundations and Perspectives

Predicting Preschoolers' Externalizing Problems with Mother-Child Interaction Dynamics and Deep Learning

Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data

Transformer-Based Contrastive Meta-Learning For Low-Resource Generalizable Activity Recognition

Plastic Waste Classification Using Deep Learning: Insights from the WaDaBa Dataset

Machine and Deep Learning for Credit Scoring: A compliant approach

Real-time Calibration Model for Low-cost Sensor in Fine-grained Time series

Self-Assembly of a Biologically Plausible Learning Circuit

YOLO-MST: Multiscale deep learning method for infrared small target detection based on super-resolution and YOLO

Image Classification with Deep Reinforcement Active Learning

DLScanner: A parameter space scanner package assisted by deep learning methods

Chimera: A Block-Based Neural Architecture Search Framework for Event-Based Object Detection

Gx2Mol: De Novo Generation of Hit-like Molecules from Gene Expression Profiles via Deep Learning

Deep learning and whole-brain networks for biomarker discovery: modeling the dynamics of brain fluctuations in resting-state and cognitive tasks

Context-Aware Deep Learning for Multi Modal Depression Detection

Robust Speech and Natural Language Processing Models for Depression Screening

Fusion of Deep Learning and GIS for Advanced Remote Sensing Image Analysis

Resource-Efficient Transformer Architecture: Optimizing Memory and Execution Time for Real-Time Applications