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 / 1,180 papers shown

Title
Can Bayesian Neural Networks Explicitly Model Input Uncertainty? Matias Valdenegro-Toro Marco Zullich BDL PER UQCV UD 187 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
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference Jiayi Huang Sangwoo Park Osvaldo Simeone 94 2 0 03 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 37 0 0 03 Jan 2025
Pretraining with random noise for uncertainty calibration Jeonghwan Cheon Se-Bum Paik OnRL 41 0 0 23 Dec 2024
Subgoal Discovery Using a Free Energy Paradigm and State Aggregations Amirhossein Mesbah Reshad Hosseini Seyed Pooya Shariatpanahi M. N. Ahmadabadi 72 0 0 21 Dec 2024
Uncertainty-Aware Hybrid Inference with On-Device Small and Remote Large Language Models Seungeun Oh Jinhyuk Kim Jihong Park Seung-Woo Ko Tony Q. S. Quek Seong-Lyun Kim 63 4 0 17 Dec 2024
GeoConformal prediction: a model-agnostic framework of measuring the uncertainty of spatial prediction Xiayin Lou Peng Luo Liqiu Meng 87 0 0 05 Dec 2024
Streamlining Prediction in Bayesian Deep Learning Rui Li Marcus Klasson Arno Solin Martin Trapp UQCV BDL 91 2 0 27 Nov 2024
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation M. Valiuddin R. V. Sloun C.G.A. Viviers Peter H. N. de With Fons van der Sommen UQCV 89 1 0 25 Nov 2024
vMF-Contact: Uncertainty-aware Evidential Learning for Probabilistic Contact-grasp in Noisy Clutter Yitian Shi Edgar Welte Maximilian Gilles Rania Rayyes 30 3 0 06 Nov 2024
Controlling for Unobserved Confounding with Large Language Model Classification of Patient Smoking Status Samuel Lee Zach Wood-Doughty CML 43 0 0 05 Nov 2024
Conformal-in-the-Loop for Learning with Imbalanced Noisy Data J. B. Graham-Knight Jamil Fayyad Nourhan Bayasi Patricia Lasserre H. Najjaran 35 0 0 04 Nov 2024
Efficient Sparse Training with Structured Dropout Andy Lo BDL 28 0 0 02 Nov 2024
Legitimate ground-truth-free metrics for deep uncertainty classification scoring Arthur Pignet Chiara Regniez John Klein 64 1 0 30 Oct 2024
PViT: Prior-augmented Vision Transformer for Out-of-distribution Detection Tianhao Zhang Zhixiang Chen Lyudmila Mihaylova 104 0 0 27 Oct 2024
Spatioformer: A Geo-encoded Transformer for Large-Scale Plant Species Richness Prediction Yiqing Guo K. Mokany S. Levick Jinyan Yang P. Moghadam MDE 33 2 0 25 Oct 2024
A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators Han Zhou Jordy Van Landeghem Teodora Popordanoska Matthew B. Blaschko 39 0 0 20 Oct 2024
Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation Yiming Wang Pei Zhang Baosong Yang Derek F. Wong Rui-cang Wang LRM 40 4 0 17 Oct 2024
The Bayesian Confidence (BACON) Estimator for Deep Neural Networks Patrick D. Kee Max J. Brown Jonathan C. Rice Christian A. Howell UQCV 19 0 0 16 Oct 2024
Ctrl-U: Robust Conditional Image Generation via Uncertainty-aware Reward Modeling Guiyu Zhang Huan-ang Gao Zijian Jiang Hao Zhao Zhedong Zheng EGVM 44 6 0 15 Oct 2024
GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks Dingyi Zhuang Chonghe Jiang Yunhan Zheng Shenhao Wang Jinhua Zhao UQCV 39 0 0 12 Oct 2024
Functional-level Uncertainty Quantification for Calibrated Fine-tuning on LLMs Ruijia Niu D. Wu Rose Yu Yi-An Ma 28 1 0 09 Oct 2024
Batched Bayesian optimization by maximizing the probability of including the optimum Jenna C. Fromer Runzhong Wang Mrunali Manjrekar Austin Tripp José Miguel Hernández-Lobato Connor W. Coley 42 0 0 08 Oct 2024
Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress Christopher Agia Rohan Sinha Jingyun Yang Zi-ang Cao Rika Antonova Marco Pavone Jeannette Bohg 26 7 0 06 Oct 2024
Dynamic Post-Hoc Neural Ensemblers Sebastian Pineda Arango Maciej Janowski Lennart Purucker Arber Zela Frank Hutter Josif Grabocka UQCV 31 0 0 06 Oct 2024
U-net based prediction of cerebrospinal fluid distribution and ventricular reflux grading Melanie Rieff Fabian Holzberger Oksana Lapina Geir Ringstad Lars Magnus Valnes Bogna Warsza Kent-Andre Mardal Per Kristian Eide Barbara Wohlmuth 33 0 0 06 Oct 2024
Lightning UQ Box: A Comprehensive Framework for Uncertainty Quantification in Deep Learning Nils Lehmann Jakob Gawlikowski Adam J. Stewart Vytautas Jancauskas Stefan Depeweg Eric T. Nalisnick N. Gottschling 40 0 0 04 Oct 2024
Multi-Robot Motion Planning with Diffusion Models Yorai Shaoul Itamar Mishani Shivam Vats Jiaoyang Li Maxim Likhachev DiffM 38 5 0 04 Oct 2024
ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent Collaboration Zixiang Wang Yinghao Zhu Huiya Zhao Xiaochen Zheng Tianlong Wang ... Yasha Wang Ewen M. Harrison Junyi Gao Liantao Ma Liantao Ma 46 1 0 03 Oct 2024
Uncertainty-aware Human Mobility Modeling and Anomaly Detection Haomin Wen Shurui Cao Z. Rasheed Khurram Hassan-Shafique L. Akoglu 59 0 0 02 Oct 2024
Building Real-time Awareness of Out-of-distribution in Trajectory Prediction for Autonomous Vehicles Tongfei Guo Rui Liu Lili Su 38 1 0 25 Sep 2024
Relationship between Uncertainty in DNNs and Adversarial Attacks Abigail Adeniran Adewale Adeyemo Adewale Adeyemo AAML 18 0 0 20 Sep 2024
Graph Convolutional Neural Networks as Surrogate Models for Climate Simulation Kevin Potter Carianne Martinez Reina Pradhan Samantha Brozak Steven Sleder Lauren Wheeler AI4Cl AI4CE 20 0 0 19 Sep 2024
Trust-informed Decision-Making Through An Uncertainty-Aware Stacked Neural Networks Framework: Case Study in COVID-19 Classification Hassan Gharoun M. S. Khorshidi Fang Chen Amir H. Gandomi 28 0 0 19 Sep 2024
Uncertainty and Prediction Quality Estimation for Semantic Segmentation via Graph Neural Networks Edgar Heinert Stephan Tilgner Timo Palm Matthias Rottmann UQCV 34 0 0 17 Sep 2024
Uncertainty-Guided Self-Questioning and Answering for Video-Language Alignment Jin Chen Kaijing Ma Haojian Huang Jiayu Shen Han Fang Xianghao Zang Chao Ban 79 2 0 17 Sep 2024
Disentangling Uncertainty for Safe Social Navigation using Deep Reinforcement Learning Daniel Flögel Marcos Gómez Villafane Joshua Ransiek Sören Hohmann 23 0 0 16 Sep 2024
Bayesian Self-Training for Semi-Supervised 3D Segmentation Ozan Unal Christos Sakaridis Luc Van Gool 3DPC 3DV 32 0 0 12 Sep 2024
Alignment of Diffusion Models: Fundamentals, Challenges, and Future Buhua Liu Shitong Shao Bao Li Lichen Bai Zhiqiang Xu Haoyi Xiong James Kwok Sumi Helal Zeke Xie 39 11 0 11 Sep 2024
DDEvENet: Evidence-based Ensemble Learning for Uncertainty-aware Brain Parcellation Using Diffusion MRI Chenjun Li Dian Yang Shun Yao Shuyue Wang Ye Wu ... C. Westin L. O’Donnell N. Sochen O. Pasternak Fan Zhang UQCV 40 0 0 11 Sep 2024
Uncertainty Quantification in Seismic Inversion Through Integrated Importance Sampling and Ensemble Methods Luping Qu Mauricio Araya-Polo Laurent Demanet 56 0 0 10 Sep 2024
Towards Robust Uncertainty-Aware Incomplete Multi-View Classification Mulin. Chen Haojian Huang Qiang Li UQCV 28 1 0 10 Sep 2024
SEF: A Method for Computing Prediction Intervals by Shifting the Error Function in Neural Networks E. V. Aretos D. G. Sotiropoulos 23 0 0 08 Sep 2024
Continual learning with the neural tangent ensemble Ari S. Benjamin Christian Pehle Kyle Daruwalla UQCV 57 0 0 30 Aug 2024
Network Fission Ensembles for Low-Cost Self-Ensembles Hojung Lee Jong-Seok Lee UQCV 49 0 0 05 Aug 2024
Perception Matters: Enhancing Embodied AI with Uncertainty-Aware Semantic Segmentation Sai Prasanna Daniel Honerkamp Kshitij Sirohi Tim Welschehold Wolfram Burgard Abhinav Valada 37 1 0 05 Aug 2024
Adaptive Planning with Generative Models under Uncertainty Pascal Jutras-Dubé Ruqi Zhang Aniket Bera 28 2 0 02 Aug 2024
Conformal Trajectory Prediction with Multi-View Data Integration in Cooperative Driving Xi Chen Rahul Bhadani Larry Head 80 0 0 01 Aug 2024
Regularized Multi-Decoder Ensemble for an Error-Aware Scene Representation Network Tianyu Xiong Skylar W. Wurster Hanqi Guo Tom Peterka Han-Wei Shen UQCV 48 1 0 26 Jul 2024