Deep Learning Models

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Twelve weeks of publication activity for this topic as it is defined today.

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Deep Neural NetworkMultilayer PerceptronsDeep Learning FrameworkNeural ArchitecturesActivation FunctionsArtificial Neural NetworksNeural ModelNeural Tangent Kernel

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Period ending 2026-09-14

1 new paper

A weekly snapshot of new work published in Deep Learning Models.

Period ending 2026-09-07

9 new papers

A weekly snapshot of new work published in Deep Learning Models.

176 papers

Latest in Deep Learning Models

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  1. Do Influence-Derived Data Perturbations Enable Machine Unlearning? A Controlled Study of Three Plausible Roles

    Sep 14, 2026Chenkai Wu, Chrispine Kambimbi, Qinyang Zeng +1Machine UnlearningUnlabeled Data

  2. Thinking with Looped Flows

    Sep 12, 2026Ayhan Suleymanzade, Chanhyuk Lee, Floor Eijkelboom +3Generative Flow NetworksRecurrent Model

  3. Scaling Laws, Tabular Data and Actuarial Ratemaking Models

    Sep 2, 2026Ronald RichmanActuarial Reasoning TasksScaling Laws

  4. Statistical Feature Augmentation for Anomaly Detection in Dynamic Graphs

    Sep 2, 2026Philipp Schlinge, Jean-Luc Schnipper, Martin AtzmuellerGeneralist Graph Anomaly DetectionAnomaly Detection

  5. GenONet: A Generative operator Network for High-Resolution Precipitation Nowcasting

    Sep 1, 2026Mohammad Kian Golkar, Luciano Alves de Oliveira, Mohammad KhanjaniPrecipitationGenerative Adversarial Network

  6. Incremental Evaluation and Training in Relational Deep Learning

    Aug 13, 2026Jakub Peleška, Gustav ŠírEfficient Continual LearningRelational

  7. GENADA: efficient generative time series adversarial attack framework

    Aug 12, 2026Michael Baronov, Denis Vorobev, Margarita Rusanova +2Black-Box Adversarial AttacksSynthetic Time Series

  8. Confidence Calibration of Deep Learning Systems

    Aug 12, 2026Coby PensoCalibrated UncertaintyConformal Prediction

  9. Towards Sustainable Artificial Intelligence: A Comprehensive Review and Comparative Analysis of Deep Learning Models' Carbon Footprint

    Aug 7, 2026Samar Garrab, Sarra Boughriou, Manel BenSassiArtificial Intelligence InfrastructureDeep Learning Models

  10. Energy and Performance Benchmarking of Deep Learning Models for Breast Cancer Detection

    Aug 7, 2026Samar Garrab, Ghada AchourDeep Learning ModelsMammography

  11. Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era

    Aug 6, 2026Binze Wang, Jinyu Tian, Xingrun Wang +2WatermarkingMachine Unlearning

  12. Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures

    Aug 6, 2026Bongseok Kim, Suman Chakraborty, Gary Huang +3Symbolic RegressionMolecular Property Prediction

  13. Evaluating Machine Learning Models for Post-Wildfire Debris-Flow Prediction

    Aug 5, 2026Quinn Ledingham, Zhengsen Xu, Yimin Zhu +6Wildfire PredictionAccurate Flood Prediction

  14. TS2TabPFN: Time Series Classification and Extrinsic Regression through Feature Extraction and a Tabular Foundation Model

    Aug 4, 2026Gabriel da Costa Merlin, Diego Furtado SilvaTime-Series ClassificationTabular Prior-Data Fitted Network

  15. Paired Recipient-based Evaluation of Survival Prediction for Deceased Donor Kidney Transplants

    Aug 4, 2026Misaki Matsuura, Mohammadreza Nemati, Dulat Bekbolsynov +2Survival PredictionsChronic Kidney Disease

  16. CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection

    Aug 3, 2026Zemin Chao, Qianhui Xu, Jianhe Cen +3Time-Series Anomaly DetectionAnomaly Detection

  17. TabDPT-Turbo: Efficient In-Context Learning for Tabular Prediction

    Aug 2, 2026Rasa Hosseinzadeh, Alex Labach, Zexin Xue +3Tabular Foundation ModelsIn-Context Learning

  18. MoPET: Parameter-Efficient Mixture-of-Experts for Unified Medical Image Classification

    Jul 31, 2026Sebastian Doerrich, Daniel Würtinger, Francesco Di Salvo +2Parameter-Efficient Fine-Tuning MethodsMedical Imaging

  19. A Unified Benchmark of Deep Learning Models for Multi-task 3D Brain Tumor Segmentation from Magnetic Resonance Imaging

    Jul 30, 2026Diego J. Torrejón, Luna Y. Hernández, Javier SánchezBrain Tumor SegmentationMagnetic Resonance Imaging

  20. Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation

    Jul 29, 2026Alexi Gladstone, Heng Ji, Yilun DuGenerative ModelsGenerative Framework

  21. Kairos: Numerically Robust News Recommendation under Item Cold-Start via Cholesky-based LinUCB

    Jul 29, 2026Finn HertschRecommender SystemsCold-Start

  22. Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models

    Jul 29, 2026Nand Lal Yadav, Rajesh Kumar, Satyendra Singh +1Resnet-18Deep Learning Models

  23. A Picture Says Thousands of Words - Harnessing Dermal Exposure Data from Images through Hybrid Deep Learning for Enhanced Safety Assessment

    Jul 28, 2026Hua Qian, Manisha Kotha, Tuan Tran +2Dermoscopic ImagesComputer Vision

  24. Beyond Static Costs: Learning-Dynamics Aware Loss Functions for Long-Tailed Classification

    Jul 28, 2026Varad Shinde, Nikhil Kumar Shrey, Magesh Rajasekaran +5Extreme Class ImbalanceLoss Function

  25. From Deterministic to Generative Deep Learning for Urban Air Quality Reconstruction from Sparse Observations

    Jul 28, 2026Abhishek A. Sabnis, Mihai Mitrea, Lya Lugon +5Air PollutionSparse Observations

  26. Deep Label-Wise Attentive Temporal Convolutional Networks Improve Medical Coding

    Jul 27, 2026Muhammed Yavuz Nuzumlalı, Alexander Fabbri, Irene Li +1Temporal Convolutional NetworksInternational Classification Of Disease Codes

  27. Analysis of the Shortcut Learning and Clever Hans Effect in CNN based ECG Image Classification

    Jul 27, 2026Abhay Kumar Pathak, Mrityunjay Chaubey, Manjari Gupta +1Electrocardiogram Image ClassificationElectroencephalogram

  28. Long-Tailed Medical Image Classification

    Jul 26, 2026Nathanael Ren, Saagar AryaMedical Imaging DatasetsMedical Imaging

  29. Same Predictions, Different Reasons: The Effect of Quantization on Model Explanations

    Jul 24, 2026Kazi Kamruzzaman Rabbi, Md. Zami Al Zunaed Farabe, M. Sohel RahmanPost-Training QuantizationQuantization Effects

  30. Class-Balanced Softmax: A Bayes Theory-Based Method for Long-Tailed Recognition

    Jul 24, 2026Yi-Hang Zhu, Rajeev Raman, Shiqi Su +4Extreme Class ImbalanceBalanced Learning

  31. Physics-Informed Deep Learning Model for Cross-Modality Super-Resolution in Fluorescence Microscopy

    Jul 23, 2026Mohammad Soltaninezhad, Elena Corbetta, Francisco Paez Larios +4Image-To-Image TranslationMicroscopy

  32. Deep learning-based prediction of time-resolved adhesive forces in viscoelastic Hertzian contacts

    Jul 21, 2026Ali Maghami, Merten Stender, Michele Ciavarella +1Edge-Sdf ContactsContinuum Robots

  33. Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels

    Jul 20, 2026Wenxiao Fan, Kan LiNoisy LabelsDeep Learning Models

  34. AlphaOracle: Oracle bone script decipherment via human-workflow-inspired deep learning

    Jul 20, 2026Yuliang Liu, Haisu Guan, Pengjie Wang +11OraclesText2Cypher

  35. Feature Attribution-Based Explainability Analysis of Deep Learning Models in Predictive Process Monitoring

    Jul 20, 2026Kseniya Sahatova, Rafael Seidi Oyamada, Xuefei Lu +1ExplainabilityPredictive Performance

  36. Building a Neural Network from Scratch: Implementation, Evaluation, and Optimization

    Jul 18, 2026Yuanzhe JiaBackpropagationDeep Learning Models

  37. On the Disagreement in Perturbation-based xAI -- Benchmarking Perturbation Choices for Flood Detection from SAR Images

    Jul 16, 2026Anastasia Schlegel, Ronny HänschXaiFlood Detection

  38. Video to All-in-focus Image Reconstruction Algorithm for Automated Microscopic Urinalysis

    Jul 15, 2026Chinmay Nema, Hari Om Aggrawal, Dipam Goswami +2MicroscopyImage Reconstruction

  39. Temperature Scaling Is Not Enough: Calibration Gaps Under Human Label Distributions

    Jul 15, 2026Wisdom DogahSoft-LabelTemperature

  40. Robustness of Deep Learning Models for PV Power Forecasting under NWP Forecast Errors: A Spatiotemporal and Physically Interpretable Analysis

    Jul 14, 2026Dandan Chen, Yan Zhao, Xuepeng ChenWind Power ForecastingPhotovoltaic

  41. Benchmarking Edge Inference Strategies for Deep Learning Models in Industrial Machine Vision

    Jul 13, 2026Miguel Gomez Fernandez, David Castro Boga, Roi Mendez-Rial +1Model InferenceInference Latency

  42. LSTrans: Efficient Knowledge Transfer for Lightweight and Automated ECG Classification

    Jul 12, 2026Yi Zhao, Jiajun Gao, Chenyang Xu +2Electrocardiogram Image ClassificationCnn-Lstm

  43. Exploratory Analysis of Deep Learning Models for Forecasting Meteorological Parameters in the Agricultural Sector

    Jul 11, 2026Piotr Sikora, Sotirios KontogiannisArtificial Intelligence Weather ModelsGated Recurrent Unit

  44. From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand

    Jul 10, 2026Isarun Chamveha, Tretap Promwiset, Napat Wanchaitanawong +3Chest X-RayAuc-Roc

  45. Beyond Backpropagation: Monte Carlo Method Can Train Deep Neural Networks

    Jul 9, 2026Hong ZhaoDeep Neural NetworkBackpropagation

  46. Converge to Surprise: Evolutionary Self-supervised Image Clustering

    Jul 8, 2026Canlin Zhang, Xiuwen LiuClusteringDeep Learning Models

  47. Enhancing deep learning models for time series classification via knowledge distillation

    Jul 7, 2026Javidan Abdullayev, Maxime Devanne, Jonathan Weber +1Time-Series ClassificationDeep Learning Models

  48. Visual graphs for image classification: does the structure affect performance?

    Jul 7, 2026Alessandra IbbaComplex NetworksImage Classification

  49. Hybrid Deep Learning for Traceability and Classification of Industrial Slate Tiles

    Jul 6, 2026Soren Antebi, Stefan Eickeler, Sandra Halscheidt +4Image ClassificationRe-Identification

  50. Probabilistic Robustness in Medical Image Classification

    Jul 4, 2026Yi Zhang, Siddartha Khastgir, Xingyu ZhaoMedical ImagingImage Classification

  51. A Fair Benchmarking of Deep Relational Database Learning Models

    Jul 4, 2026Kazi F. Akhter, Bharath Ajendla, Manar D. SamadTabular LearningRelational

  52. VisionAId: An Offline-First Multimodal Android Assistant for People with Visual Impairment, Featuring Personalized Object Retrieval

    Jul 2, 2026Cristian-Gabriel Florea, Stelian SpînuAccessibilityMulti-Object Tracking

  53. Function-Counting Theory for Low-Dimensional Data Structures

    Jul 1, 2026Konstantin Häberle, Helmut BölcskeiLow-Dimensional StructureDeep Learning Models

  54. SGD at the Edge of Stability: Stochastic Stabilization with Large Learning Rates

    Jun 29, 2026Konstantinos Emmanouilidis, Lachlan MacDonald, Salma Tarmoun +1Stochastic Gradient DescentLearning Rates

  55. GPU Parallelization Strategies for Forward and Backward Propagation in Shallow Neural Networks: A CUDA-Based Comparative Study

    Jun 29, 2026Rania Zitouni, Nadine Bousdjira, Sarah Hasnaoui +2CudaNeural Network Optimization

  56. Bandwidth Selection in Kernel Density Estimation for Model Calibration

    Jun 29, 2026Han Zhou, Teodora Popordanoska, Matthew BlaschkoBandwidth ExtensionDecision Alignment

  57. Phonological Perception of Sign Language Models

    Jun 27, 2026Kayo Yin, Jessica Carter, Alex Xijie Lu +1Phonological UnderstandingSign Language Translation

  58. Evaluation-Strategy Gap in Fault Diagnosis of Deep Learning Programs

    Jun 25, 2026Sigma JahanFault DiagnosisFault Injection Experiments

  59. SOLAR: AI-Powered Speed-of-Light Performance Analysis

    Jun 24, 2026Qijing Huang, Sana Damani, Zhifan Ye +9Execution EfficiencyDeep Learning Models

  60. Hybrid deep learning-based phase diversity method for wavefront reconstruction

    Jun 24, 2026Y. Rodimkov, A. Kotov, K. Burdonov +4Discrete Wavelet TransformOptical