Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning

6 June 2015

Papers citing "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"

50 / 1,049 papers shown

Title
UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model T. Kaiser Thomas Norrenbrock Bodo Rosenhahn 44 0 0 08 May 2025
Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection SungHeon Jeong Jihong Park Mohsen Imani 52 0 0 05 May 2025
Cooperative Bayesian and variance networks disentangle aleatoric and epistemic uncertainties Jiaxiang Yi Miguel A. Bessa UD PER UQCV 39 0 0 05 May 2025
Uncertainty Quantification for Machine Learning in Healthcare: A Survey L. J. L. Lopez Shaza Elsharief Dhiyaa Al Jorf Firas Darwish Congbo Ma Farah E. Shamout 76 0 0 04 May 2025
HeAL3D: Heuristical-enhanced Active Learning for 3D Object Detection Esteban Rivera Surya Prabhakaran Markus Lienkamp VLM 133 0 0 01 May 2025
AI-Assisted Decision-Making for Clinical Assessment of Auto-Segmented Contour Quality Biling Wang Austen Maniscalco T. Bai Siqiu Wang M. Dohopolski ... Chenyang Shen D. Nguyen Junzhou Huang Steve B. Jiang Xinlei Wang 28 0 0 01 May 2025
Toward Efficient Exploration by Large Language Model Agents Dilip Arumugam Thomas L. Griffiths LLMAG 87 0 0 29 Apr 2025
Random-Set Large Language Models Muhammad Mubashar Shireen Kudukkil Manchingal Fabio Cuzzolin 66 0 0 25 Apr 2025
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review Toghrul Abbasli Kentaroh Toyoda Yuan Wang Leon Witt Muhammad Asif Ali Yukai Miao Dan Li Qingsong Wei UQCV 87 0 0 25 Apr 2025
Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts M. Zarlenga Gabriele Dominici Pietro Barbiero Z. Shams M. Jamnik KELM 126 0 0 24 Apr 2025
EPSILON: Adaptive Fault Mitigation in Approximate Deep Neural Network using Statistical Signatures Khurram Khalil K. A. Hoque AAML 76 0 0 24 Apr 2025
A Deep Bayesian Convolutional Spiking Neural Network-based CAD system with Uncertainty Quantification for Medical Images Classification Mohaddeseh Chegini Ali Mahloojifar BDL UQCV 73 0 0 23 Apr 2025
Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification Kumar Manas Christian Schlauch Adrian Paschke Christian Wirth Nadja Klein 35 0 0 17 Apr 2025
Localization Meets Uncertainty: Uncertainty-Aware Multi-Modal Localization Hye-Min Won Jieun Lee Jiyong Oh EDL 49 0 0 10 Apr 2025
IAEmu: Learning Galaxy Intrinsic Alignment Correlations Sneh Pandya Yuanyuan Yang N. V. Alfen Jonathan Blazek Robin Walters 26 1 0 07 Apr 2025
Decentralized Collective World Model for Emergent Communication and Coordination Kentaro Nomura Tatsuya Aoki Tadahiro Taniguchi Takato Horii 72 0 0 04 Apr 2025
ORAL: Prompting Your Large-Scale LoRAs via Conditional Recurrent Diffusion Rana Muhammad Shahroz Khan Dongwen Tang Pingzhi Li Kai Wang Tianlong Chen AI4CE 110 0 0 31 Mar 2025
Neuroplasticity in Artificial Intelligence -- An Overview and Inspirations on Drop In & Out Learning Yupei Li M. Milling Björn Schuller AI4CE 102 0 0 27 Mar 2025
Look Before Leap: Look-Ahead Planning with Uncertainty in Reinforcement Learning Yongshuai Liu Xin Liu 93 1 0 26 Mar 2025
Cross-Modal and Uncertainty-Aware Agglomeration for Open-Vocabulary 3D Scene Understanding Jinlong Li Cristiano Saltori Fabio Poiesi N. Sebe 130 0 0 20 Mar 2025
These Magic Moments: Differentiable Uncertainty Quantification of Radiance Field Models Parker Ewen Hao Chen Seth Isaacson Joey Wilson Katherine A. Skinner Ram Vasudevan 56 0 0 18 Mar 2025
Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model Moritz A. Zanger Pascal R. van der Vaart Wendelin Bohmer M. Spaan UQCV BDL 120 0 0 14 Mar 2025
DCAT: Dual Cross-Attention Fusion for Disease Classification in Radiological Images with Uncertainty Estimation Jutika Borah H. Singh MedIm 43 0 0 14 Mar 2025
Conformal forecasting for surgical instrument trajectory Sara Sangalli Gary Sarwin Ertunc Erdil Alessandro Carretta V. Staartjes Carlo Serra E. Konukoglu 68 0 0 13 Mar 2025
Neural Configuration-Space Barriers for Manipulation Planning and Control Kehan Long Ki Myung Brian Lee Nikola Raicevic Niyas Attasseri Melvin Leok Nikolay A. Atanasov 69 0 0 06 Mar 2025
EvidMTL: Evidential Multi-Task Learning for Uncertainty-Aware Semantic Surface Mapping from Monocular RGB Images Rohit Menon Nils Dengler Sicong Pan Gokul Krishna Chenchani Maren Bennewitz EDL 86 0 0 06 Mar 2025
Ranking pre-trained segmentation models for zero-shot transferability Joshua Talks Anna Kreshuk 107 0 0 01 Mar 2025
Similarity-Distance-Magnitude Universal Verification Allen Schmaltz UQCV AAML 118 0 0 27 Feb 2025
Alleviating Distribution Shift in Synthetic Data for Machine Translation Quality Estimation Xiang Geng Zhejian Lai Jiajun Chen Hao Yang Shujian Huang 60 0 0 27 Feb 2025
EU-Nets: Enhanced, Explainable and Parsimonious U-Nets B. Sun P. Liò 55 0 0 25 Feb 2025
CARE: Confidence-Aware Regression Estimation of building density fine-tuning EO Foundation Models Nikolaos Dionelis Jente Bosmans Nicolas Longepe 55 0 0 19 Feb 2025
On the Privacy Risks of Spiking Neural Networks: A Membership Inference Analysis Junyi Guan Abhijith Sharma Chong Tian Salem Lahlou AAML 44 1 0 18 Feb 2025
Conformal Prediction Sets Can Cause Disparate Impact Jesse C. Cresswell Bhargava Kumar Yi Sui Mouloud Belbahri FaML 79 1 0 17 Feb 2025
Representation Learning on Out of Distribution in Tabular Data Achmad Ginanjar Xue Li Priyanka Singh Wen Hua LMTD 158 0 0 17 Feb 2025
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Abrar Anwar Rohan Gupta Zain Merchant Sayan Ghosh Willie Neiswanger Jesse Thomason OffRL 67 1 0 14 Feb 2025
Revisiting Gradient-based Uncertainty for Monocular Depth Estimation Julia Hornauer Amir El-Ghoussani Vasileios Belagiannis UQCV 50 0 0 09 Feb 2025
Out-of-Distribution Detection using Synthetic Data Generation Momin Abbas Muneeza Azmat R. Horesh Mikhail Yurochkin 38 1 0 05 Feb 2025
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models Yibin Wang H. Shi Ligong Han Dimitris N. Metaxas Hao Wang BDL UQLM 104 6 0 28 Jan 2025
Predictive Modeling and Uncertainty Quantification of Fatigue Life in Metal Alloys using Machine Learning Jiang Chang Deekshith Basvoju Aleksandar Vakanski Indrajit Charit Min Xian AI4CE 32 0 0 28 Jan 2025
CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks Kaizheng Wang Keivan K1 Shariatmadar Shireen Kudukkil Manchingal Fabio Cuzzolin David Moens Hans Hallez UQCV BDL 84 12 0 28 Jan 2025
Enhancing Visual Inspection Capability of Multi-Modal Large Language Models on Medical Time Series with Supportive Conformalized and Interpretable Small Specialized Models Huayu Li Xiwen Chen C. Zhang S. Quan William D.S. Killgore Shu-Fen Wung Chen X. Chen Geng Yuan Jin Lu Ao Li 36 0 0 28 Jan 2025
Towards Robust Unsupervised Attention Prediction in Autonomous Driving Mengshi Qi Xiaoyang Bi Pengfei Zhu Huadong Ma 50 0 0 25 Jan 2025
Uncertainty Quantification With Noise Injection in Neural Networks: A Bayesian Perspective Xueqiong Yuan Jipeng Li E. Kuruoglu UQCV BDL 40 0 0 21 Jan 2025
Enhancing Uncertainty Estimation in Semantic Segmentation via Monte-Carlo Frequency Dropout Tal Zeevi Lawrence H. Staib J. Onofrey OOD UQCV 48 0 0 20 Jan 2025
Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing David Perera Victor Letzelter Théo Mariotte Adrien Cortés Mickaël Chen S. Essid Ga¨el Richard 64 2 0 20 Jan 2025
Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Shanwen Wang Changrui Chen Xin Sun Danfeng Hong Jungong Han 29 0 0 18 Jan 2025
EVaDE : Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning Siddharth Aravindan Dixant Mittal Wee Sun Lee BDL 74 0 0 17 Jan 2025
Can Bayesian Neural Networks Explicitly Model Input Uncertainty? Matias Valdenegro-Toro Marco Zullich BDL PER UQCV UD 172 0 0 14 Jan 2025
AdaPRL: Adaptive Pairwise Regression Learning with Uncertainty Estimation for Universal Regression Tasks Fuhang Liang Rucong Xu Deng Lin OOD 33 0 0 10 Jan 2025
Implementing Trust in Non-Small Cell Lung Cancer Diagnosis with a Conformalized Uncertainty-Aware AI Framework in Whole-Slide Images Xiaoge Zhang Tao Wang Chao Yan Fedaa Najdawi Kai Zhou Yuan Ma Yiu-ming Cheung Bradley Malin MedIm 35 0 0 03 Jan 2025