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 / 1,097 papers shown

Title
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning Frederik Hoppe C. M. Verdun Hannah Laus Felix Krahmer Holger Rauhut UQCV 22 1 0 18 Jul 2024
High Frequency Matters: Uncertainty Guided Image Compression with Wavelet Diffusion Juan Song Jiaxiang He Mingtao Feng Keyan Wang Yunsong Li DiffM 41 4 0 17 Jul 2024
Trustworthy Contrast-enhanced Brain MRI Synthesis Jiyao Liu Yuxin Li Shangqi Gao Yuncheng Zhou Xin Gao Ningsheng Xu Xiao-Yong Zhang Xiahai Zhuang MedIm 28 1 0 10 Jul 2024
Joint Segmentation and Image Reconstruction with Error Prediction in Photoacoustic Imaging using Deep Learning Ruibo Shang Geoffrey P. Luke Matthew O'Donnell UQCV 19 0 0 02 Jul 2024
Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks Wataru Hashimoto Hidetaka Kamigaito Taro Watanabe 52 0 0 02 Jul 2024
GalLoP: Learning Global and Local Prompts for Vision-Language Models Marc Lafon Elias Ramzi Clément Rambour Nicolas Audebert Nicolas Thome VLM 29 8 0 01 Jul 2024
Data-Driven Prediction and Uncertainty Quantification of PWR Crud-Induced Power Shift Using Convolutional Neural Networks Aidan Furlong Farah Alsafadi S. Palmtag Andrew Godfrey Xu Wu 46 1 0 27 Jun 2024
Improving robustness to corruptions with multiplicative weight perturbations Trung Trinh Markus Heinonen Luigi Acerbi Samuel Kaski 36 0 0 24 Jun 2024
Hardware-Aware Neural Dropout Search for Reliable Uncertainty Prediction on FPGA Zehuan Zhang Hongxiang Fan Hao Chen Lukasz Dudziak Wayne Luk BDL 35 0 0 23 Jun 2024
Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection Eduardo Dadalto F. Alberge Pierre Duhamel Pablo Piantanida OODD 39 0 0 23 Jun 2024
A First Physical-World Trajectory Prediction Attack via LiDAR-induced Deceptions in Autonomous Driving Yang Lou Yi Zhu Qun Song Rui Tan Chunming Qiao Wei-Bin Lee Jianping Wang AAML 36 2 0 17 Jun 2024
Uncertainty modeling for fine-tuned implicit functions A. Susmelj Mael Macuglia Nataša Tagasovska Reto Sutter Sebastiano Caprara Jean-Philippe Thiran E. Konukoglu 62 1 0 17 Jun 2024
UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous Driving Daniel Bogdoll Noël Ollick Tim Joseph J. Marius Zöllner 29 1 0 10 Jun 2024
PSBD: Prediction Shift Uncertainty Unlocks Backdoor Detection Wei Li Pin-Yu Chen Sijia Liu Ren Wang AAML 41 2 0 09 Jun 2024
Linearization Turns Neural Operators into Function-Valued Gaussian Processes Emilia Magnani Marvin Pfortner Tobias Weber Philipp Hennig UQCV 55 1 0 07 Jun 2024
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise T. Pouplin Alan Jeffares Nabeel Seedat Mihaela van der Schaar 50 3 0 05 Jun 2024
Dropout MPC: An Ensemble Neural MPC Approach for Systems with Learned Dynamics Spyridon Syntakas K. Vlachos 40 0 0 04 Jun 2024
S2-Track: A Simple yet Strong Approach for End-to-End 3D Multi-Object Tracking Lijun Zhou Tao Tang Pengkun Hao Zihang He Kalok Ho ... Zhihui Hao Haiyang Sun Kun Zhan Peng Jia Xianpeng Lang VOT 58 4 0 04 Jun 2024
CONFINE: Conformal Prediction for Interpretable Neural Networks Linhui Huang S. Lala N. Jha 63 2 0 01 Jun 2024
Scalable Bayesian Learning with posteriors Samuel Duffield Kaelan Donatella Johnathan Chiu Phoebe Klett Daniel Simpson BDL UQCV 54 1 0 31 May 2024
Edge-guided and Class-balanced Active Learning for Semantic Segmentation of Aerial Images Lianlei Shan Weiqiang Wang Ke Lv Bin Luo VLM 23 0 0 28 May 2024
SEMF: Supervised Expectation-Maximization Framework for Predicting Intervals Ilia Azizi M. Boldi V. Chavez-Demoulin 87 0 0 28 May 2024
Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification Kaizheng Wang Fabio Cuzzolin Keivan K1 Shariatmadar David Moens Hans Hallez UQCV BDL 65 6 0 23 May 2024
System Safety Monitoring of Learned Components Using Temporal Metric Forecasting Sepehr Sharifi Andrea Stocco Lionel C. Briand AI4TS 40 1 0 21 May 2024
A Survey of Deep Learning-based Radiology Report Generation Using Multimodal Data Xinyi Wang Grazziela Figueredo Ruizhe Li W. Zhang Weitong Chen Xin Chen MedIm ViT 41 2 0 21 May 2024
Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation JoonHo Lee Jae Oh Woo Juree Seok Parisa Hassanzadeh Wooseok Jang ... Hankyu Moon Wenjun Hu Yeong-Dae Kwon Taehee Lee Seungjai Min 45 2 0 10 May 2024
General Place Recognition Survey: Towards Real-World Autonomy Peng Yin Jianhao Jiao Shiqi Zhao Lingyun Xu Guoquan Huang Howie Choset Sebastian A. Scherer Jianda Han 42 7 0 08 May 2024
Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers Johann Schmidt Sebastian Stober 43 1 0 06 May 2024
Implicit Neural Representations for Robust Joint Sparse-View CT Reconstruction Jiayang Shi Junyi Zhu D. Pelt K. Batenburg Matthew B. Blaschko 26 3 0 03 May 2024
Quantifying Distribution Shifts and Uncertainties for Enhanced Model Robustness in Machine Learning Applications Vegard Flovik OOD 29 1 0 03 May 2024
Combining X-Vectors and Bayesian Batch Active Learning: Two-Stage Active Learning Pipeline for Speech Recognition O. Kundacina V. Vincan D. Mišković BDL 94 0 0 03 May 2024
CoViS-Net: A Cooperative Visual Spatial Foundation Model for Multi-Robot Applications J. Blumenkamp Steven D. Morad Jennifer Gielis Amanda Prorok 26 4 0 02 May 2024
Uncertainty for Active Learning on Graphs Dominik Fuchsgruber Tom Wollschlager Bertrand Charpentier Antonio Oroz Stephan Günnemann 36 10 0 02 May 2024
Leveraging Active Subspaces to Capture Epistemic Model Uncertainty in Deep Generative Models for Molecular Design A. N. M. N. Abeer Sanket R. Jantre Nathan M. Urban Byung-Jun Yoon 33 1 0 30 Apr 2024
Improving Automatic Text Recognition with Language Models in the PyLaia Open-Source Library Solène Tarride Yoann Schneider Marie Generali-Lince Mélodie Boillet Bastien Abadie Christopher Kermorvant 26 3 0 29 Apr 2024
Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification Ruben Grewal Paolo Tonella Andrea Stocco 40 10 0 29 Apr 2024
Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks Yunzhen Feng Tim G. J. Rudner Nikolaos Tsilivis Julia Kempe AAML BDL 40 1 0 27 Apr 2024
Uncertainty in latent representations of variational autoencoders optimized for visual tasks Josefina Catoni Enzo Ferrante Diego H. Milone Rodrigo Echeveste Diego H. Milone Balázs Meszéna Gergő Orbán Rodrigo Echeveste UQCV OOD BDL 29 1 0 23 Apr 2024
A Symmetric Regressor for MRI-Based Assessment of Striatal Dopamine Transporter Uptake in Parkinson's Disease With Enhanced Uncertainty Estimation Walid Abdullah Al Il Dong Yun Yun Jung Bae 25 0 0 18 Apr 2024
LoRA Dropout as a Sparsity Regularizer for Overfitting Control Yang Lin Xinyu Ma Xu Chu Yujie Jin Zhibang Yang Yasha Wang Hong-yan Mei 44 19 0 15 Apr 2024
Confidence Calibration and Rationalization for LLMs via Multi-Agent Deliberation Ruixin Yang Dheeraj Rajagopal S. Hayati Bin Hu Dongyeop Kang LLMAG 35 3 0 14 Apr 2024
Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path Forward Xuan Xie Jiayang Song Zhehua Zhou Yuheng Huang Da Song Lei Ma OffRL 35 6 0 12 Apr 2024
Tackling Ambiguity from Perspective of Uncertainty Inference and Affinity Diversification for Weakly Supervised Semantic Segmentation Zhiwei Yang Yucong Meng Kexue Fu Shuo Wang Zhijian Song 34 4 0 12 Apr 2024
Kermut: Composite kernel regression for protein variant effects Peter Mørch Groth Mads Herbert Kerrn Lars Olsen Jesper Salomon Wouter Boomsma 29 2 0 09 Apr 2024
ProtoAL: Interpretable Deep Active Learning with prototypes for medical imaging Iury B. de A. Santos André C.P.L.F. de Carvalho MedIm 22 1 0 06 Apr 2024
Active Exploration in Bayesian Model-based Reinforcement Learning for Robot Manipulation Carlos Plou Ana C. Murillo Ruben Martinez-Cantin OffRL 22 0 0 02 Apr 2024
YOLOOC: YOLO-based Open-Class Incremental Object Detection with Novel Class Discovery Qian Wan Xiang Xiang Qinhao Zhou ObjD 31 0 0 30 Mar 2024
Modeling Weather Uncertainty for Multi-weather Co-Presence Estimation Qi Bi Shaodi You Theo Gevers 41 1 0 29 Mar 2024
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World Bowen Lei Dongkuan Xu Ruqi Zhang Bani Mallick UQCV 29 0 0 29 Mar 2024
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding Lingdong Kong Xiang Xu Jun Cen Wenwei Zhang Liang Pan Kai-xiang Chen Ziwei Liu 45 5 0 25 Mar 2024