Title
Going Beyond One-Hot Encoding in Classification: Can Human Uncertainty Improve Model Performance? Christoph Koller Goran Kauermann Xiao Xiang Zhu UQCV 21 6 0 30 May 2022
Effective Out-of-Distribution Detection in Classifier Based on PEDCC-Loss Qiuyu Zhu Guohui Zheng Yingying Yan OODD 14 8 0 10 Apr 2022
Discovering and forecasting extreme events via active learning in neural operators Ethan Pickering Stephen Guth George Karniadakis T. Sapsis AI4CE 19 57 0 05 Apr 2022
Hyperbolic Uncertainty Aware Semantic Segmentation Bike Chen Wei Peng Xiaofeng Cao Juha Roning UQCV 24 15 0 16 Mar 2022
Self-Normalized Density Map (SNDM) for Counting Microbiological Objects K. Graczyk J. Pawlowski Sylwia Majchrowska Tomasz Golan 25 9 0 15 Mar 2022
Object Detection as Probabilistic Set Prediction Georg Hess Christoffer Petersson Lennart Svensson 19 5 0 15 Mar 2022
Uncertainty Estimation for Language Reward Models Adam Gleave G. Irving UQLM 34 31 0 14 Mar 2022
MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks Gianni Franchi Xuanlong Yu Andrei Bursuc Ángel Tena Rémi Kazmierczak Séverine Dubuisson Emanuel Aldea David Filliat UQCV 26 28 0 02 Mar 2022
Reducing Overconfidence Predictions for Autonomous Driving Perception Gledson Melotti C. Premebida Jordan J. Bird Diego Resende Faria Nuno Gonccalves 10 7 0 16 Feb 2022
LiDAR dataset distillation within bayesian active learning framework: Understanding the effect of data augmentation Ngoc Phuong Anh Duong Alexandre Almin Léo Lemarié B. R. Kiran 21 3 0 06 Feb 2022
Uncertainty-aware Pseudo-label Selection for Positive-Unlabeled Learning Emilio Dorigatti Jann Goschenhofer B. Schubert Mina Rezaei Bernd Bischl 26 3 0 31 Jan 2022
Stochastic Neural Networks with Infinite Width are Deterministic Liu Ziyin Hanlin Zhang Xiangming Meng Yuting Lu Eric P. Xing Masakuni Ueda 29 3 0 30 Jan 2022
Transformer Uncertainty Estimation with Hierarchical Stochastic Attention Jiahuan Pei Cheng-Yu Wang Gyuri Szarvas 24 22 0 27 Dec 2021
Benchmarking Uncertainty Quantification on Biosignal Classification Tasks under Dataset Shift Tong Xia Jing Han Cecilia Mascolo OOD 21 10 0 16 Dec 2021
Exploring the Limits of Epistemic Uncertainty Quantification in Low-Shot Settings Matias Valdenegro-Toro UQCV 23 2 0 18 Nov 2021
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications Xinlei Zhou Han Liu Farhad Pourpanah T. Zeng Xizhao Wang UQCV UD 24 58 0 03 Nov 2021
Improving Adversarial Robustness for Free with Snapshot Ensemble Yihao Wang AAML UQCV 17 1 0 07 Oct 2021
Bayesian Active Learning for Sim-to-Real Robotic Perception Jianxiang Feng Jongseok Lee M. Durner Rudolph Triebel 52 13 0 23 Sep 2021
Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes Jongseo Lee Jianxiang Feng Matthias Humt M. Müller Rudolph Triebel UQCV 48 21 0 20 Sep 2021
Learning to Map for Active Semantic Goal Navigation G. Georgakis Bernadette Bucher Karl Schmeckpeper Siddharth Singh Kostas Daniilidis 32 73 0 29 Jun 2021
Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error Ondrej Bohdal Yongxin Yang Timothy M. Hospedales UQCV OOD 43 21 0 17 Jun 2021
Fast Predictive Uncertainty for Classification with Bayesian Deep Networks Marius Hobbhahn Agustinus Kristiadi Philipp Hennig BDL UQCV 76 31 0 02 Mar 2020
Deep Sub-Ensembles for Fast Uncertainty Estimation in Image Classification Matias Valdenegro-Toro UQCV 61 51 0 17 Oct 2019
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam Mohammad Emtiyaz Khan Didrik Nielsen Voot Tangkaratt Wu Lin Y. Gal Akash Srivastava ODL 74 266 0 13 Jun 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators Changyou Chen Nan Ding Lawrence Carin 37 158 0 21 Oct 2016
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 197 745 0 06 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015
MCMC using Hamiltonian dynamics Radford M. Neal 185 3,266 0 09 Jun 2012