Methods › General › Interpretability › Monte Carlo Dropout

Monte Carlo Dropout

202 papers tagged archive 2025-07-28

Introduced by Yarin Gal et al. in Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

The archive carries no description for this method.

Papers archive 2025-07-28

30 shown of 202, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

• HANS-Net: Hyperbolic Convolution and Adaptive Temporal Attention for Accurate and Generalizable Liver and Tumor Segmentation in CT Imaging
  15 Jul 2025 · 0 repositories · arXiv:2507.11325
• A Simple Approximate Bayesian Inference Neural Surrogate for Stochastic Petri Net Models
  14 Jul 2025 · 1 repository · arXiv:2507.10714
• Uncertainty-Aware Deep Learning for Automated Skin Cancer Classification: A Comprehensive Evaluation
  12 Jun 2025 · 0 repositories · arXiv:2506.10302
• Next-Generation Conflict Forecasting: Unleashing Predictive Patterns through Spatiotemporal Learning
  8 Jun 2025 · 0 repositories · arXiv:2506.14817
• Uncertainty-Aware Genomic Classification of Alzheimer's Disease: A Transformer-Based Ensemble Approach with Monte Carlo Dropout
  31 May 2025 · 0 repositories · arXiv:2506.00662
• Enhancing Monte Carlo Dropout Performance for Uncertainty Quantification
  21 May 2025 · 0 repositories · arXiv:2505.15671
• Uncertainty quantification with approximate variational learning for wearable photoplethysmography prediction tasks
  16 May 2025 · 0 repositories · arXiv:2505.11412
• QoSBERT: An Uncertainty-Aware Approach based on Pre-trained Language Models for Service Quality Prediction
  9 May 2025 · 0 repositories · arXiv:2505.07863
• Hesitation is defeat? Connecting Linguistic and Predictive Uncertainty
  6 May 2025 · 0 repositories · arXiv:2505.03910
• UPMAD-Net: A Brain Tumor Segmentation Network with Uncertainty Guidance and Adaptive Multimodal Feature Fusion
  6 May 2025 · 1 repository · arXiv:2505.03494
• A Deep Bayesian Convolutional Spiking Neural Network-based CAD system with Uncertainty Quantification for Medical Images Classification
  23 Apr 2025 · 0 repositories · arXiv:2504.17819
• Last-layer committee machines for uncertainty estimations of benthic imagery
  22 Apr 2025 · 0 repositories · arXiv:2504.16952
• Uncertainty Estimation for Trust Attribution to Speed-of-Sound Reconstruction with Variational Networks
  15 Apr 2025 · 0 repositories · arXiv:2504.11307
• The challenge of uncertainty quantification of large language models in medicine
  7 Apr 2025 · 0 repositories · arXiv:2504.05278
• Quantifying the uncertainty of model-based synthetic image quality metrics
  4 Apr 2025 · 0 repositories · arXiv:2504.03623
• ConfEviSurrogate: A Conformalized Evidential Surrogate Model for Uncertainty Quantification
  3 Apr 2025 · 0 repositories · arXiv:2504.02919
• Probabilistic Segmentation for Robust Field of View Estimation
  10 Mar 2025 · 0 repositories · arXiv:2503.07375
• Weakly Supervised Pixel-Level Annotation with Visual Interpretability
  25 Feb 2025 · 0 repositories · arXiv:2502.17824
• Epistemic Uncertainty in Conformal Scores: A Unified Approach
  10 Feb 2025 · 1 repository · arXiv:2502.06995
• AL-PINN: Active Learning-Driven Physics-Informed Neural Networks for Efficient Sample Selection in Solving Partial Differential Equations
  6 Feb 2025 · 0 repositories · arXiv:2502.03963
• Confident Pseudo-labeled Diffusion Augmentation for Canine Cardiomegaly Detection
  13 Jan 2025 · 1 repository · arXiv:2501.07533
• Uncertainty-Aware Online Extrinsic Calibration: A Conformal Prediction Approach
  12 Jan 2025 · 0 repositories · arXiv:2501.06878
• Uncertainty Quantified Deep Learning and Regression Analysis Framework for Image Segmentation of Skin Cancer Lesions
  28 Dec 2024 · 1 repository · arXiv:2412.20007
• Conformal Prediction on Quantifying Uncertainty of Dynamic Systems
  12 Dec 2024 · 0 repositories · arXiv:2412.10459
• Rate-In: Information-Driven Adaptive Dropout Rates for Improved Inference-Time Uncertainty Estimation
  10 Dec 2024 · 1 repository · arXiv:2412.07169
• Multimodal Fusion Learning with Dual Attention for Medical Imaging
  2 Dec 2024 · 1 repository · arXiv:2412.01248
• Customer Lifetime Value Prediction with Uncertainty Estimation Using Monte Carlo Dropout
  24 Nov 2024 · 0 repositories · arXiv:2411.15944
• Can Uncertainty Quantification Enable Better Learning-based Index Tuning?
  23 Oct 2024 · 1 repository · arXiv:2410.17748
• Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback
  11 Oct 2024 · 0 repositories · arXiv:2410.08852
• Hierarchical Uncertainty Estimation for Learning-based Registration in Neuroimaging
  11 Oct 2024 · 1 repository · arXiv:2410.09299
  Syntology ran 12 of 14 samples · 2 unverified

Tasks archive 2025-07-28

20 shown of 189 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

Usage over time archive 2025-07-28

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections