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

October 24, 2024

DL-Polycube: Deep learning enhanced polycube method for high-quality hexahedral mesh generation and volumetric spline construction
Yuxuan Yu, Yuzhuo Fang, Hua Tong, Yongjie Jessica Zhang
Deep Learning B Spline Spline Approximation
Paved or unpaved? A Deep Learning derived Road Surface Global Dataset from Mapillary Street-View Imagery
Sukanya Randhawa, Eren Aygun, Guntaj Randhawa, Benjamin Herfort, Sven Lautenbach, Alexander Zipf
Deep Learning Road Network Street View
On Model-Free Re-ranking for Visual Place Recognition with Deep Learned Local Features
Tomáš Pivoňka, Libor Přeučil
Deep Learning Place Recognition Visual Place Recognition Local Feature Ranking Model Ranking Method

October 23, 2024

Calibrating Deep Neural Network using Euclidean Distance
Wenhao Liang, Chang Dong, Liangwei Zheng, Zhengyang Li, Wei Zhang, Weitong Chen
Deep Learning Calibration Performance Focal Loss Euclidean Distance Class Calibration
Evaluating Deep Learning Approaches for Predictions in Unmonitored Basins with Continental-scale Stream Temperature Models
Jared D. Willard, Fabio Ciulla, Helen Weierbach, Vipin Kumar, Charuleka Varadharajan
Deep Learning Deep Learning Model Machine Learning Model Human Prediction Unsupervised Setting Streamflow Prediction VVV Basin Curve
Closed-form merging of parameter-efficient modules for Federated Continual Learning
Riccardo Salami, Pietro Buzzega, Matteo Mosconi, Jacopo Bonato, Luigi Sabetta, Simone Calderara
Deep Learning Continual LEArning Federated Prompt Cooperation Low Rank Adaptation Model Merging Online Merging LoRA Fine Tuning Merged Model Parameter Efficient Module
Deep learning for model correction of dynamical systems with data scarcity
Caroline Tatsuoka, Dongbin Xiu
Deep Learning Transfer Learning Raw Data Dynamical System High Fidelity Fidelity Model
Leveraging Deep Learning for Time Series Extrinsic Regression in predicting photometric metallicity of Fundamental-mode RR Lyrae Stars
Lorenzo Monti, Tatiana Muraveva, Gisella Clementini, Alessia Garofalo
Deep Learning Synthetic Gaia DR2 Practical Photometric Solution Time Series Extrinsic Regression
Deep Learning for Active Region Classification: A Systematic Study from Convolutional Neural Networks to Vision Transformers
Edoardo Legnaro, Sabrina Guastavino, Michele Piana, Anna Maria Massone
Deep Learning Convolutional Neural Network Vision Transformer Image Classification Systematic Study Active Region
BlurryScope: a cost-effective and compact scanning microscope for automated HER2 scoring using deep learning on blurry image data
Michael John Fanous, Christopher Michael Seybold, Hanlong Chen, Nir Pillar, Aydogan Ozcan
Deep Learning Digital Pathology Histopathology Image Blurry Image Smartphone Microscope Human Epidermal Growth Factor Receptor

October 22, 2024

Enhancing Deep Learning based RMT Data Inversion using Gaussian Random Field
Koustav Ghosal, Arun Singh, Samir Malakar, Shalivahan Srivastava, Deepak Gupta
Deep Learning Limited Field Inversion Performance Gaussian Data Random Field Geophysical Data Formation Resistivity
Efficient Frequency Selective Surface Analysis via End-to-End Model-Based Learning
Cheima Hammami (INSA Rennes, IETR), Lucas Polo-López (IETR, INSA Rennes), Luc Le Magoarou (INSA Rennes, IETR)
Deep Learning End to End Model Learning Model Based Deep Learning Electromagnetic Simulation
Deep Learning and Machine Learning -- Python Data Structures and Mathematics Fundamental: From Theory to Practice
Silin Chen, Ziqian Bi, Junyu Liu, Benji Peng, Sen Zhang, Xuanhe Pan, Jiawei Xu, Jinlang Wang, Keyu Chen, Caitlyn Heqi Yin, Pohsun Feng, Yizhu Wen, Tianyang Wang, Ming Li, Jintao Ren, Qian Niu, Ming Liu
Deep Learning Machine Learning Artificial Intelligence Theoretical Understanding Big Data Data Structure Mathematical Text
Cutting Through the Confusion and Hype: Understanding the True Potential of Generative AI
Ante Prodan, Jo-An Occhipinti, Rehez Ahlip, Goran Ujdur, Harris A. Eyre, Kyle Goosen, Luke Penza, Mark Heffernan
Deep Learning Generative AI Full Potential GenAI Integration HyPe GT

October 21, 2024

Cancer Cell Classification using Deep Learning
Praneeth Kumar T, Nidhi Srivastava, Rakshith Mahishi, Chayadevi M L
Deep Learning Healthcare System Data Mining Cancer Classification Cancer Diagnosis Real Tumor
Systematic Review: Text Processing Algorithms in Machine Learning and Deep Learning for Mental Health Detection on Social Media
Yuchen Cao, Jianglai Dai, Zhongyan Wang, Yeyubei Zhang, Xiaorui Shen, Yunchong Liu, Yexin Tian
Deep Learning Machine Learning Social Medium Mental Health Imbalanced Data Depression Detection Bias Metric Source Bias
Multimodal Flare Forecasting with Deep Learning
Grégoire Francisco, Sabrina Guastavino, Teresa Barata, João Fernandes, Dario Del Moro
Deep Learning Solar Flare Flare Prediction Flare Artifact
Exploring how deep learning decodes anomalous diffusion via Grad-CAM
Jaeyong Bae, Yongjoo Baek, Hawoong Jeong
Deep Learning Diffusion Model Grad CAM Diffusion Dynamic Anomalous Diffusion
AI-Driven Approaches for Glaucoma Detection -- A Comprehensive Review
Yuki Hagiwara, Octavia-Andreaa Ciora, Maureen Monnet, Gino Lancho, Jeanette Miriam Lorenz
Deep Learning Comprehensive Review Glaucoma Diagnosis Visual Impairment AI Based Retinal Fundus Glaucoma Challenge Retinal Disease
Deep Learning and Data Augmentation for Detecting Self-Admitted Technical Debt
Edi Sutoyo, Paris Avgeriou, Andrea Capiluppi
Deep Learning Data Augmentation BERT Architecture Technical Debt Self Report

Deep Learning

Papers

DL-Polycube: Deep learning enhanced polycube method for high-quality hexahedral mesh generation and volumetric spline construction

Paved or unpaved? A Deep Learning derived Road Surface Global Dataset from Mapillary Street-View Imagery

On Model-Free Re-ranking for Visual Place Recognition with Deep Learned Local Features

Calibrating Deep Neural Network using Euclidean Distance

Evaluating Deep Learning Approaches for Predictions in Unmonitored Basins with Continental-scale Stream Temperature Models

Closed-form merging of parameter-efficient modules for Federated Continual Learning

Deep learning for model correction of dynamical systems with data scarcity

Leveraging Deep Learning for Time Series Extrinsic Regression in predicting photometric metallicity of Fundamental-mode RR Lyrae Stars

Deep Learning for Active Region Classification: A Systematic Study from Convolutional Neural Networks to Vision Transformers

BlurryScope: a cost-effective and compact scanning microscope for automated HER2 scoring using deep learning on blurry image data

Enhancing Deep Learning based RMT Data Inversion using Gaussian Random Field

Efficient Frequency Selective Surface Analysis via End-to-End Model-Based Learning

Deep Learning and Machine Learning -- Python Data Structures and Mathematics Fundamental: From Theory to Practice

Cutting Through the Confusion and Hype: Understanding the True Potential of Generative AI

Cancer Cell Classification using Deep Learning

Systematic Review: Text Processing Algorithms in Machine Learning and Deep Learning for Mental Health Detection on Social Media

Multimodal Flare Forecasting with Deep Learning

Exploring how deep learning decodes anomalous diffusion via Grad-CAM

AI-Driven Approaches for Glaucoma Detection -- A Comprehensive Review

Deep Learning and Data Augmentation for Detecting Self-Admitted Technical Debt