Methods › General › Interpretability › Monte Carlo Dropout › Papers, page 2

Monte Carlo Dropout

Papers archive 2025-07-28

archive papers tagged: 202 · with a code link: 60 · where Syntology ran a sample: 14 (11 with a run with no instrument failure, 3 where every run was a failure of Syntology's instrument) Syntology

Show: all tagged papersonly where code ran (14 of 202 tagged: 11 with a run with no instrument failure, 3 where every run was a failure of Syntology's instrument)

Page 2 of 3: papers 101 to 200 of 202, newest first by the archive's date (ties by slug), in archive order.

Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code, as “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the instrument figure counts failures of Syntology's instrument, not of the code. It is per sample and not a correctness claim. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code; “community repositories only” when every sample that ran came from a community repository, “official: no sample here; runs from other or unrecorded repositories” when some came from a repository the paper names or has in its text, or from none recorded); hover it for the repositories the samples that ran came from.

• Uncertainty-aware Perception Models for Off-road Autonomous Unmanned Ground Vehicles
  22 Sep 2022 · 0 repositories · arXiv:2209.11115
• Improving Out-of-Distribution Detection via Epistemic Uncertainty Adversarial Training
  5 Sep 2022 · 0 repositories · arXiv:2209.03148
• Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation
  26 Aug 2022 · 1 repository · arXiv:2208.12401
  Syntology official (archive's flag): 3 ran · 3 ran (of which 3 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified; every one of the 3 samples that ran constructed an object rather than computing a result (of 4 harvested samples) · 4 pointer-only (licence)
• Region-Based Evidential Deep Learning to Quantify Uncertainty and Improve Robustness of Brain Tumor Segmentation
  11 Aug 2022 · 0 repositories · arXiv:2208.06038
• Uncertainty Quantification for Traffic Forecasting: A Unified Approach
  11 Aug 2022 · 0 repositories · arXiv:2208.05875
• Variational Neural Networks
  4 Jul 2022 · 3 repositories · arXiv:2207.01524
  Syntology official (archive's flag): 2 ran · 3 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified (of 3 harvested samples)
• Quantification of Deep Neural Network Prediction Uncertainties for VVUQ of Machine Learning Models
  27 Jun 2022 · 0 repositories · arXiv:2206.14615
• Uncertainty Calibration for Deep Audio Classifiers
  27 Jun 2022 · 1 repository · arXiv:2206.13071
• A General Framework for quantifying Aleatoric and Epistemic uncertainty in Graph Neural Networks
  20 May 2022 · 0 repositories · arXiv:2205.09968
• WeatherBench Probability: A benchmark dataset for probabilistic medium-range weather forecasting along with deep learning baseline models
  2 May 2022 · 1 repository · arXiv:2205.00865
  Syntology official (archive's flag): 3 ran · 3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 8 unverified (of 11 harvested samples)
• Disentangling Uncertainty in Machine Translation Evaluation
  13 Apr 2022 · 1 repository · arXiv:2204.06546
• A Deep Bayesian Neural Network for Cardiac Arrhythmia Classification with Rejection from ECG Recordings
  26 Feb 2022 · 1 repository · arXiv:2203.00512
• Improving the repeatability of deep learning models with Monte Carlo dropout
  15 Feb 2022 · 1 repository · arXiv:2202.07562
• Evaluating Deep Vs. Wide & Deep Learners As Contextual Bandits For Personalized Email Promo Recommendations
  31 Jan 2022 · 1 repository · arXiv:2202.00146
• Visualizing the Diversity of Representations Learned by Bayesian Neural Networks
  26 Jan 2022 · 0 repositories · arXiv:2201.10859
• Better Uncertainty Quantification for Machine Translation Evaluation
  16 Jan 2022 · 0 repositories
• Transformer Uncertainty Estimation with Hierarchical Stochastic Attention
  27 Dec 2021 · 1 repository · arXiv:2112.13776
  Syntology official (archive's flag): 2 ran · 2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified (of 5 harvested samples)
• The Peril of Popular Deep Learning Uncertainty Estimation Methods
  9 Dec 2021 · 1 repository · arXiv:2112.05000
• A Re-examination of Neural Selective Prediction for Natural Language Processing
  16 Nov 2021 · 0 repositories
• Revisiting Softmax for Uncertainty Approximation in Text Classification
  16 Nov 2021 · 0 repositories
• MC-CIM: Compute-in-Memory with Monte-Carlo Dropouts for Bayesian Edge Intelligence
  13 Nov 2021 · 0 repositories · arXiv:2111.07125
• Monte Carlo dropout increases model repeatability
  12 Nov 2021 · 1 repository · arXiv:2111.06754
• On Efficient Uncertainty Estimation for Resource-Constrained Mobile Applications
  11 Nov 2021 · 0 repositories · arXiv:2111.09838
• On the use of uncertainty in classifying Aedes Albopictus mosquitoes
  29 Oct 2021 · 0 repositories · arXiv:2110.15912
• Should We Trust This Summary? Bayesian Abstractive Summarization to The Rescue
  16 Oct 2021 · 0 repositories
• An Uncertainty-aware Loss Function for Training Neural Networks with Calibrated Predictions
  7 Oct 2021 · 0 repositories · arXiv:2110.03260
• Prior and Posterior Networks: A Survey on Evidential Deep Learning Methods For Uncertainty Estimation
  6 Oct 2021 · 0 repositories · arXiv:2110.03051
• A Survey on Evidential Deep Learning For Single-Pass Uncertainty Estimation
  29 Sep 2021 · 0 repositories
• Physical System Design Using Hamiltonian Monte Carlo over Learned Manifolds
  29 Sep 2021 · 0 repositories
• Bayesian deep learning of affordances from RGB images
  27 Sep 2021 · 0 repositories · arXiv:2109.12845
• Uncertainty-Aware Machine Translation Evaluation
  13 Sep 2021 · 2 repositories · arXiv:2109.06352
  Syntology official (archive's flag): 5 ran · 5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 5 harvested samples) · 5 pointer-only (licence)
• Deep Learning with Uncertainty Quantification for Predicting the Segmentation Dice Coefficient of Prostate Cancer Biopsy Images
  31 Aug 2021 · 0 repositories · arXiv:2109.00115
• Deep few-shot learning for bi-temporal building change detection
  25 Aug 2021 · 0 repositories · arXiv:2108.11262
• DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model with Uncertainty Estimates
  24 Aug 2021 · 0 repositories · arXiv:2108.10600
• Uncertainty-Aware Credit Card Fraud Detection Using Deep Learning
  28 Jul 2021 · 0 repositories · arXiv:2107.13508
• Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models
  26 Jul 2021 · 1 repository · arXiv:2107.12250
• Deep-learning-driven Reliable Single-pixel Imaging with Uncertainty Approximation
  24 Jul 2021 · 0 repositories · arXiv:2107.11678
• High Frequency EEG Artifact Detection with Uncertainty via Early Exit Paradigm
  21 Jul 2021 · 0 repositories · arXiv:2107.10746
• Exploring Dropout Discriminator for Domain Adaptation
  9 Jul 2021 · 0 repositories · arXiv:2107.04231
• Detecting Concept Drift With Neural Network Model Uncertainty
  5 Jul 2021 · 1 repository · arXiv:2107.01873
  Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified (of 2 harvested samples) · 2 pointer-only (licence)
• An Uncertainty Estimation Framework for Probabilistic Object Detection
  28 Jun 2021 · 1 repository · arXiv:2106.15007
• Progressive Spatio-Temporal Bilinear Network with Monte Carlo Dropout for Landmark-based Facial Expression Recognition with Uncertainty Estimation
  8 Jun 2021 · 1 repository · arXiv:2106.04332
• Probabilistic Neural Network to Quantify Uncertainty of Wind Power Estimation
  4 Jun 2021 · 0 repositories · arXiv:2106.04656
• Should We Trust This Summary? Bayesian Abstractive Summarization to The Rescue
  21 May 2021 · 0 repositories · arXiv:2105.10155
• Stochastic-Shield: A Probabilistic Approach Towards Training-Free Adversarial Defense in Quantized CNNs
  13 May 2021 · 0 repositories · arXiv:2105.06512
• High-Performance FPGA-based Accelerator for Bayesian Neural Networks
  12 May 2021 · 0 repositories · arXiv:2105.09163
• Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums
  26 Apr 2021 · 0 repositories · arXiv:2104.12643
• Recalibration of Aleatoric and Epistemic Regression Uncertainty in Medical Imaging
  26 Apr 2021 · 1 repository · arXiv:2104.12376
• A Fully Spiking Hybrid Neural Network for Energy-Efficient Object Detection
  21 Apr 2021 · 0 repositories · arXiv:2104.10719
• On the Importance of Effectively Adapting Pretrained Language Models for Active Learning
  16 Apr 2021 · 1 repository · arXiv:2104.08320
• ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation
  14 Apr 2021 · 1 repository · arXiv:2104.06957
• Bayesian Graph Convolutional Network for Traffic Prediction
  1 Apr 2021 · 0 repositories · arXiv:2104.00488
• How Certain is Your Transformer?
  1 Apr 2021 · 1 repository
• On the Robustness of Monte Carlo Dropout Trained with Noisy Labels
  22 Mar 2021 · 0 repositories · arXiv:2103.12002
• Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates
  20 Jan 2021 · 0 repositories · arXiv:2101.08133
• SkiNet: A Deep Learning Solution for Skin Lesion Diagnosis with Uncertainty Estimation and Explainability
  30 Dec 2020 · 0 repositories · arXiv:2012.15049
• Towards a category-extended object detector with limited data
  28 Dec 2020 · 0 repositories · arXiv:2012.14115
• Masksembles for Uncertainty Estimation
  15 Dec 2020 · 4 repositories · arXiv:2012.08334
• Uncertainty Intervals for Graph-based Spatio-Temporal Traffic Prediction
  9 Dec 2020 · 0 repositories · arXiv:2012.05207
• Extracting Electron Scattering Cross Sections from Swarm Data using Deep Neural Networks
  30 Nov 2020 · 0 repositories · arXiv:2011.14711
• CASU2Net: Cascaded Unification Network by a Two-step Early Fusion for Fault Detection in Offshore Wind Turbines
  24 Nov 2020 · 0 repositories · arXiv:2011.12130
• A Simple Framework to Quantify Different Types of Uncertainty in Deep Neural Networks for Image Classification
  17 Nov 2020 · 0 repositories · arXiv:2011.08712
• Uncertainty Estimation in Medical Image Localization: Towards Robust Anterior Thalamus Targeting for Deep Brain Stimulation
  3 Nov 2020 · 0 repositories · arXiv:2011.02067
• A comparison of Monte Carlo dropout and bootstrap aggregation on the performance and uncertainty estimation in radiation therapy dose prediction with deep learning neural networks
  1 Nov 2020 · 0 repositories · arXiv:2011.00388
• Know Where To Drop Your Weights: Towards Faster Uncertainty Estimation
  27 Oct 2020 · 0 repositories · arXiv:2010.14019
• Deep Bayesian U-Nets for Efficient, Robust and Reliable Post-Disaster Damage Localization
  24 Sep 2020 · 0 repositories · arXiv:2009.11460
• Stochastic-YOLO: Efficient Probabilistic Object Detection under Dataset Shifts
  7 Sep 2020 · 1 repository · arXiv:2009.02967
  Syntology official (archive's flag): 8 ran · 8 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 1 honoured, 0 violated, 6 with no contract checked; 1 where Syntology's instrument failed) · 4 unverified (of 12 harvested samples) · 5 pointer-only (licence)
• Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image Prior
  20 Aug 2020 · 1 repository · arXiv:2008.08837
• Monte Carlo Dropout Ensembles for Robust Illumination Estimation
  20 Jul 2020 · 0 repositories · arXiv:2007.10114
• Uncertain-DeepSSM: From Images to Probabilistic Shape Models
  13 Jul 2020 · 0 repositories · arXiv:2007.06516
• To BAN or not to BAN: Bayesian Attention Networks for Reliable Hate Speech Detection
  10 Jul 2020 · 0 repositories · arXiv:2007.05304
• MCU-Net: A framework towards uncertainty representations for decision support system patient referrals in healthcare contexts
  8 Jul 2020 · 1 repository · arXiv:2007.03995
• Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift
  26 Jun 2020 · 0 repositories · arXiv:2006.14988
• Calibration of Model Uncertainty for Dropout Variational Inference
  20 Jun 2020 · 0 repositories · arXiv:2006.11584
• Multiple Imputation for Biomedical Data using Monte Carlo Dropout Autoencoders
  13 May 2020 · 0 repositories · arXiv:2005.06173
• Prior choice affects ability of Bayesian neural networks to identify unknowns
  11 May 2020 · 1 repository · arXiv:2005.04987
• Model Uncertainty Quantification for Reliable Deep Vision Structural Health Monitoring
  10 Apr 2020 · 0 repositories · arXiv:2004.05151
• MPC-guided Imitation Learning of Neural Network Policies for the Artificial Pancreas
  3 Mar 2020 · 1 repository · arXiv:2003.01283
• Fast Monte Carlo Dropout and Error Correction for Radio Transmitter Classification
  31 Jan 2020 · 0 repositories · arXiv:2001.11963
• On Last-Layer Algorithms for Classification: Decoupling Representation from Uncertainty Estimation
  22 Jan 2020 · 1 repository · arXiv:2001.08049
  Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample) · 1 pointer-only (licence)
• Towards detection and classification of microscopic foraminifera using transfer learning
  14 Jan 2020 · 1 repository · arXiv:2001.04782
• Give me (un)certainty -- An exploration of parameters that affect segmentation uncertainty
  14 Nov 2019 · 0 repositories · arXiv:1911.06357
• We Know Where We Don't Know: 3D Bayesian CNNs for Credible Geometric Uncertainty
  23 Oct 2019 · 1 repository · arXiv:1910.10793
• Uncertainty-Aware Audiovisual Activity Recognition Using Deep Bayesian Variational Inference
  1 Oct 2019 · 0 repositories
• Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference
  30 Sep 2019 · 1 repository · arXiv:1909.13550
  Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample)
• Characterizing Sources of Uncertainty to Proxy Calibration and Disambiguate Annotator and Data Bias
  20 Sep 2019 · 1 repository · arXiv:1909.09285
• Prediction Uncertainty Estimation for Hate Speech Classification
  16 Sep 2019 · 0 repositories · arXiv:1909.07158
• Generating Data using Monte Carlo Dropout
  12 Sep 2019 · 1 repository · arXiv:1909.05755
• Augmenting Monte Carlo Dropout Classification Models with Unsupervised Learning Tasks for Detecting and Diagnosing Out-of-Distribution Faults
  10 Sep 2019 · 0 repositories · arXiv:1909.04202
• n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True Error
  20 Aug 2019 · 0 repositories · arXiv:1908.07253
• Curriculum based Dropout Discriminator for Domain Adaptation
  24 Jul 2019 · 1 repository · arXiv:1907.10628
• Automated Muscle Segmentation from Clinical CT using Bayesian U-Net for Personalized Musculoskeletal Modeling
  21 Jul 2019 · 1 repository · arXiv:1907.08915
• Evaluating aleatoric and epistemic uncertainties of time series deep learning models for soil moisture predictions
  10 Jun 2019 · 0 repositories · arXiv:1906.04595
• Uncertainty-Aware Data Aggregation for Deep Imitation Learning
  7 May 2019 · 0 repositories · arXiv:1905.02780
• Detecting and Diagnosing Incipient Building Faults Using Uncertainty Information from Deep Neural Networks
  18 Feb 2019 · 0 repositories · arXiv:1902.06366
• Bayesian deep neural networks for low-cost neurophysiological markers of Alzheimer's disease severity
  12 Dec 2018 · 0 repositories · arXiv:1812.04994
• Accuracy, Uncertainty, and Adaptability of Automatic Myocardial ASL Segmentation using Deep CNN
  10 Dec 2018 · 0 repositories · arXiv:1812.03974
• Probabilistic Object Detection: Definition and Evaluation
  27 Nov 2018 · 1 repository · arXiv:1811.10800
  Syntology 7 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 7 harvested samples)
• Uncertainty aware audiovisual activity recognition using deep Bayesian variational inference
  27 Nov 2018 · 0 repositories · arXiv:1811.10811
• A Batched Scalable Multi-Objective Bayesian Optimization Algorithm
  4 Nov 2018 · 0 repositories · arXiv:1811.01323