Deep Learning

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Period ending 2026-09-21

16 new papers

A weekly snapshot of new work published in Deep Learning.

Period ending 2026-09-14

1 new paper

A weekly snapshot of new work published in Deep Learning.

Period ending 2026-09-07

9 new papers

A weekly snapshot of new work published in Deep Learning.

559 papers

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  1. Deep Learning for Multi-Antenna Modulation Recognition of Radio Signals

    Apr 20, 2026Tao Chen, Shilian Zheng, Jiepeng Chen +3Automatic Modulation ClassificationReconfigurable Intelligent Surfaces

  2. Evolutionary fine tuning of quantized convolution-based deep learning models

    Apr 19, 2026Marcin PietrońQuantizationDeep Learning

  3. 2D Pre-Training for 3D Pose Estimation

    Apr 19, 2026Liyao Jiang, Ruichen Chen, Keith G. Mills3D Pose EstimatorModel Pretraining

  4. Learned Nonlocal Feature Matching and Filtering for RAW Image Denoising

    Apr 19, 2026Marco Sánchez-Beeckman, Antoni BuadesImage DenoisingImage Processing

  5. Deep learning based Non-Rigid Volume-to-Surface Registration for Brain Shift compensation Using Point Cloud

    Apr 19, 2026Eashrat Jahan Muniya, Gernot Kronreif, Ander Biguri +2Image RegistrationMagnetic Resonance Imaging

  6. FL-MHSM: Spatially-adaptive Fusion and Ensemble Learning for Flood-Landslide Multi-Hazard Susceptibility Mapping at Regional Scale

    Apr 17, 2026Aswathi Mundayatt, Jaya Sreevalsan-NairLandslidesTemporal Fusion Transformer

  7. A Two-Stage, Object-Centric Deep Learning Framework for Robust Exam Cheating Detection

    Apr 17, 2026Van-Truong Le, Le-Khanh Nguyen, Trong-Doanh NguyenAcademic IntegrityYolov8-Nano Model

  8. Hybrid Spectro-Temporal Fusion Framework for Structural Health Monitoring

    Apr 17, 2026Jongyeop Kim, Jinki Kim, Doyun LeeStructural Health MonitoringTemporal Fusion Transformer

  9. A Systematic Survey and Benchmark of Deep Learning for Molecular Property Prediction in the Foundation Model Era

    Apr 17, 2026Zongru Li, Xingsheng Chen, Honggang Wen +8Molecular Property PredictionComputational Chemistry

  10. Univariate Channel Fusion for Multivariate Time Series Classification

    Apr 17, 2026Fernando Moro, Vinicius M. A. SouzaTime-Series ClassificationMultimodal Physiological Signals

  11. Early Detection of Acute Myeloid Leukemia (AML) Using YOLOv12 Deep Learning Model

    Apr 17, 2026Enas E. Ahmed, Salah A. Aly, Mayar MonerAcute Myeloid LeukemiaDeep Learning

  12. Prototype-Grounded Concept Models for Verifiable Concept Alignment

    Apr 17, 2026Stefano Colamonaco, David Debot, Pietro Barbiero +1Concept Bottleneck ModelsModel Interpretability

  13. ECG-Lens: Benchmarking ML & DL Models on PTB-XL Dataset

    Apr 17, 2026Saloni Garg, Ukant Jadia, Amit Sagtani +1Electrocardiogram ClassificationDeep Learning

  14. An Interpretable Framework Applying Protein Words to Predict Protein-Small Molecule Complementary Pairing Rules

    Apr 17, 2026Jingke Chen, Jingrui Zhong, Tazneen Hossain Tani +3Structure-Based Drug DesignModel Interpretability

  15. Xe-Forge: Multi-Stage LLM-Powered Kernel Optimization for Intel GPU

    Apr 16, 2026Marcin Spoczynski, Daniel Fleischer, Moshe Berchansky +5Graphics Processing Unit KernelsAccelerator

  16. xFODE: An Explainable Fuzzy Additive ODE Framework for System Identification

    Apr 16, 2026Ertugrul Kececi, Tufan KumbasarSystem IdentificationOrdinary Differential Equations

  17. Zeroth-Order Optimization at the Edge of Stability

    Apr 16, 2026Minhak Song, Liang Zhang, Bingcong Li +3Zeroth-Order OptimizationCondition Number

  18. Deep Learning for Sequential Decision Making under Uncertainty: Foundations, Frameworks, and Frontiers

    Apr 13, 2026I. Esra BuyuktahtakinSequential Decision MakingUncertainty-Aware Inference

  19. Using Deep Learning Models Pretrained by Self-Supervised Learning for Protein Localization

    Apr 13, 2026Ben Isselmann, Dilara Göksu, Heinz Neumann +1MicroscopySelf-Supervised

  20. Evaluating Vision Foundation Models for Pixel and Object Classification in Microscopy

    Mar 20, 2026Carolin Teuber, Anwai Archit, Tobias Boothe +3MicroscopyVision Foundation Models

  21. Deep Learning Network-Temporal Models For Traffic Prediction

    Mar 12, 2026Yufeng Xin, Ethan FanAccurate Traffic ForecastingMultivariate Time Series Forecasting

  22. Bound to Disagree: Generalization Bounds via Certifiable Surrogates

    Feb 26, 2026Mathieu Bazinet, Valentina Zantedeschi, Pascal GermainGeneralization BoundsSupervised Learning

  23. BrepCoder: A Unified Multimodal Large Language Model for Multi-task B-rep Reasoning

    Feb 25, 2026Mingi Kim, Yongjun Kim, Jungwoo Kang +1Computer-Aided Design3D Models

  24. PrivacyBench: Privacy Isn't Free in Hybrid Privacy-Preserving Vision Systems

    Feb 21, 2026Nnaemeka Obiefuna, Samuel Oyeneye, Similoluwa Odunaiya +2Privacy-Utility Trade-OffsAI Privacy Risks and Protection

  25. Confidence-Uncertainty Boundary Calibration for Bayesian Deep Learning in Medical Image Analysis

    Feb 12, 2026Hua Xu, Julián D. Arias-Londoño, Juan I. Godino-LlorenteCalibrated UncertaintyMedical Image Classification

  26. Separation-Utility Pareto Frontier: An Information-Theoretic Characterization

    Feb 4, 2026Shizhou XuSeparabilityPrivacy-Utility Trade-Offs

  27. Density-Informed Pseudo-Counts for Calibrated Evidential Deep Learning

    Feb 1, 2026Pietro Carlotti, Nevena Gligić, Arya FarahiDensity Ratio EstimationDistribution Shifts

  28. Phi-SegNet: Phase-Integrated Supervision for Medical Image Segmentation

    Jan 22, 2026Shams Nafisa Ali, Taufiq HasanMedical Image SegmentationSegmentation Model

  29. From Lab to Reality: A Practical Evaluation of Deep Learning Models and LLMs for Vulnerability Detection

    Dec 11, 2025Chaomeng Lu, Bert LagaisseVulnerability Detection & RepairBenchmark Datasets

  30. FairLRF: Achieving Fairness through Sparse Low Rank Factorization

    Nov 20, 2025Yuanbo Guo, Jun Xia, Yiyu ShiFairness-Aware LearningBias Mitigation

  31. Benchmarking Deep Learning Models for Laryngeal Cancer Staging Using the LaryngealCT Dataset

    Oct 13, 2025Nivea Roy, Son Tran, Atul Sajjanhar +4Non-Small Cell Lung CancerComputed Tomography Dataset

  32. Learning Bug Context for PyTorch-to-JAX Translation with LLMs

    Oct 10, 2025Hung Phan, Son Vu, Tuan Dinh +3Code GenerationPytorch

  33. Why Do We Need Warm-up? A Theoretical Perspective

    Oct 3, 2025Foivos Alimisis, Rustem Islamov, Aurelien LucchiLearning RatesCold-Start

  34. Towards a more realistic evaluation of machine learning models for bearing fault diagnosis

    Sep 26, 2025João Paulo Vieira, Victor Afonso Bauler, Rodrigo Kobashikawa Rosa +1Fault DiagnosisMachine Learning

  35. Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals

    Sep 15, 2025Milan Marocchi, Matthew Fynn, Kayapanda Mandana +1Congenital Heart DiseaseMultimodal Physiological Signals

  36. Alternative Graph Neural Networks: Synergizing GEV Models and Deep Learning for Travel Mode Choice Modeling

    Sep 8, 2025Yuqi Zhou, Zhanhong Cheng, Dingyi Zhuang +3Discrete Choice ModelsGraph Neural Networks

  37. Uncertain but Useful: Leveraging CNN Training Variability into Data Augmentation

    Sep 5, 2025Inés Gonzalez-Pepe, Vinuyan Sivakolunthu, Yohan Chatelain +1Neuroimaging ModelsBrain Tumor Segmentation

  38. Segmentation and Classification of Pap Smear Images for Cervical Cancer Detection Using Deep Learning

    Aug 25, 2025Nisreen Albzour, Sarah S. LamNon-Small Cell Lung CancerDeep Learning

  39. Predicting brain tumour enhancement from non-contrast MR imaging with artificial intelligence: a multi-cohort retrospective diagnostic accuracy study

    Aug 19, 2025James K Ruffle, Samia Mohinta, Guilherme Pombo +13Brain Tumor ClassificationMagnetic Resonance Imaging

  40. L-SR1: Learned Symmetric-Rank-One Preconditioning

    Aug 17, 2025Gal Lifshitz, Shahar Zuler, Ori Fouks +1Zeroth-Order OptimizationDeep Learning

  41. How Causal Abstraction Underpins Computational Explanation

    Aug 15, 2025Atticus Geiger, Jacqueline Harding, Thomas IcardStructural GeneralizationRepresentational Capacity

  42. Energy-Efficient Real-Time 4-Stage Sleep Classification at 10-Second Resolution

    Aug 6, 2025Zahra Mohammadi, Parnian Fazel, Siamak MohammadiSleep Stage ClassificationElectrocardiogram Classification

  43. Detecting and measuring respiratory events in horses during exercise with a microphone: deep learning vs. standard signal processing

    Aug 4, 2025Jeanne I. M. Parmentier, Rhana M. Aarts, Elin Hernlund +2Respiratory Sound ClassificationPassive Acoustic Monitoring

  44. Endoscopic Depth Estimation Based on Deep Learning: A Survey

    Jul 28, 2025Ke Niu, Zeyun Liu, Xue Feng +5Depth EstimationDeep Learning

  45. Converting T1-weighted MRI from 3T to 7T quality using deep learning

    Jul 18, 2025Malo Gicquel, Ruoyi Zhao, Anika Wuestefeld +12Magnetic Resonance ImagingMedical Image Generation

  46. Random Matrix Theory for Deep Learning: Beyond Eigenvalues of Linear Models

    Jun 16, 2025Zhenyu Liao, Michael W. MahoneyHigh-Dimensional DataLargest Eigenvalue

  47. scDataset: Scalable Data Loading for Deep Learning on Large-Scale Single-Cell Omics

    Jun 2, 2025Davide D'Ascenzo, Sebastiano Cultrera di MontesanoSingle-Cell Rna SequencingBenchmark Datasets

  48. Boosting Automatic Exercise Evaluation Through Musculoskeletal Simulation-Based IMU Data Augmentation

    May 30, 2025Andreas Spilz, Heiko Oppel, Michael MunzMusculoskeletal CareSynthetic Motion Datasets

  49. Gibbs randomness-compression proposition

    May 29, 2025M. SüzenContext CompressionGibbs Measures

  50. Tensorization is a powerful but underexplored tool for compression and interpretability of neural networks

    May 26, 2025Safa Hamreras, Sukhbinder Singh, Román OrúsTensor NetworksNeural Network

  51. Bayesian Deep Learning for Discrete Choice

    May 23, 2025Daniel F. Villarraga, Ricardo A. DazianoDiscrete Choice ModelsDeep Learning

  52. Semantic Correspondence: Unified Benchmarking and a Strong Baseline

    May 23, 2025Kaiyan Zhang, Xinghui Li, Jingyi Lu +1Feature MatchingComputer Vision

  53. From Pixels to Images: A Structural Survey of Deep Learning Paradigms in Remote Sensing Image Semantic Segmentation

    May 21, 2025Quanwei Liu, Tao Huang, Jiaqi Yang +1Remote Sensing Image SegmentationRemote Sensing

  54. When majority rules, minority loses: bias amplification of gradient descent

    May 19, 2025François Bachoc, Jérôme Bolte, Ryan Boustany +1MinorityEmpirical Risk Minimization

  55. Towards Understanding Deep Learning Model in Image Recognition via Coverage Test

    May 12, 2025Wenkai Li, Xiaoqi Li, Yingjie Mao +1Modern Deep NetworksDeep Learning

  56. The Dynamics of Generalization in Deep Learning

    Apr 23, 2025Rubing Yang, Pratik ChaudhariOver-Parameterized Neural NetworksGradient Descent

  57. Deep learning with missing data

    Apr 21, 2025Tianyi Ma, Tengyao Wang, Richard J. SamworthImputationNonparametric

  58. Explainable Bayesian deep learning through input-skip Latent Binary Bayesian Neural Networks

    Mar 13, 2025Eirik Høyheim, Lars Skaaret-Lund, Solve Sæbø +1Bayesian Neural NetworksDeep Learning

  59. Split-n-Chain: Privacy-Preserving Multi-Node Split Learning with Blockchain-Based Auditability

    Mar 10, 2025Mukesh Sahani, Binanda SenguptaFederated LearningPrivacy-Preserving Framework

  60. Hyperspectral Image Restoration and Super-resolution with Physics-Aware Deep Learning for Biomedical Applications

    Mar 3, 2025Yuchen Xiang, Zhaolu Liu, Monica Emili Garcia-Segura +12Hyperspectral Image Super-ResolutionHyperspectral Imaging