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.
3874papers
Papers - Page 83
January 30, 2024
Progress in artificial intelligence applications based on the combination of self-driven sensors and deep learning
Weixiang Wan, Wenjian Sun, Qiang Zeng, Linying Pan, Jingyu Xu, Bo LiuEngineering A Large Language Model From Scratch
Abiodun Finbarrs OketunjiCalibration-then-Calculation: A Variance Reduced Metric Framework in Deep Click-Through Rate Prediction Models
Yewen Fan, Nian Si, Xiangchen Song, Kun Zhang
January 29, 2024
Accelerating superconductor discovery through tempered deep learning of the electron-phonon spectral function
Jason B. Gibson, Ajinkya C. Hire, Philip M. Dee, Oscar Barrera, Benjamin Geisler, Peter J. Hirschfeld, Richard G. HennigDeep Learning for Multi-Label Learning: A Comprehensive Survey
Adane Nega Tarekegn, Mohib Ullah, Faouzi Alaya CheikhDropout Concrete Autoencoder for Band Selection on HSI Scenes
Lei Xu, Mete Ahishali, Moncef GabboujA 2D Sinogram-Based Approach to Defect Localization in Computed Tomography
Yuzhong Zhou, Linda-Sophie Schneider, Fuxin Fan, Andreas Maier
January 28, 2024
Detection of a facemask in real-time using deep learning methods: Prevention of Covid 19
Gautam Siddharth Kashyap, Jatin Sohlot, Ayesha Siddiqui, Ramsha Siddiqui, Karan Malik, Samar Wazir, Alexander E. I. BrownleeDeep Learning for Gamma-Ray Bursts: A data driven event framework for X/Gamma-Ray analysis in space telescopes
Riccardo Crupi
January 26, 2024
January 25, 2024
Globally Scalable Glacier Mapping by Deep Learning Matches Expert Delineation Accuracy
Konstantin A. Maslov, Claudio Persello, Thomas Schellenberger, Alfred SteinAt the junction between deep learning and statistics of extremes: formalizing the landslide hazard definition
Ashok Dahal, Raphaël Huser, Luigi LombardoAttention-based Efficient Classification for 3D MRI Image of Alzheimer's Disease
Yihao Lin, Ximeng Li, Yan Zhang, Jinshan TangDeep Learning Innovations in Diagnosing Diabetic Retinopathy: The Potential of Transfer Learning and the DiaCNN Model
Mohamed R. Shoaib, Heba M. Emara, Jun Zhao, Walid El-Shafai, Naglaa F. Soliman, Ahmed S. Mubarak, Osama A. Omer, Fathi E. Abd El-Samie+1Transfer Learning With Densenet201 Architecture Model For Potato Leaf Disease Classification
Rifqi Alfinnur Charisma, Faisal Dharma AdhinataA Survey of Deep Learning and Foundation Models for Time Series Forecasting
John A. Miller, Mohammed Aldosari, Farah Saeed, Nasid Habib Barna, Subas Rana, I. Budak Arpinar, Ninghao Liu