Masksembles for Uncertainty Estimation

Masksembles for Uncertainty Estimation

15 December 2020

Timur M. Bagautdinov

Papers citing "Masksembles for Uncertainty Estimation"

19 / 19 papers shown

Title
Spatial-aware decision-making with ring attractors in reinforcement learning systems Marcos Negre Saura Richard Allmendinger Theodore Papamarkou Wei Pan 229 0 0 17 Feb 2025
The Robust Semantic Segmentation UNCV2023 Challenge Results Xuanlong Yu Yi Zuo Zitao Wang Xiaowen Zhang Jiaxuan Zhao ... Angela Yao Wenlong Chen Ivor J. A. Simpson Neill D. F. Campbell Gianni Franchi UQCV 40 4 0 27 Sep 2023
Quantification of Uncertainty with Adversarial Models Kajetan Schweighofer L. Aichberger Mykyta Ielanskyi Günter Klambauer Sepp Hochreiter UQCV 42 14 0 06 Jul 2023
Low-field magnetic resonance image enhancement via stochastic image quality transfer Hongxiang Lin Matteo Figini F. D’Arco G. Ogbole Ryutaro Tanno ... D. Carmichael I. Lagunju J. Cross D. Fernández-Reyes Daniel C. Alexander 37 20 0 26 Apr 2023
On the Calibration and Uncertainty with Pólya-Gamma Augmentation for Dialog Retrieval Models Tong Ye Shijing Si Jianzong Wang Ning Cheng Zhitao Li Jing Xiao 77 2 0 15 Mar 2023
Anti-Exploration by Random Network Distillation Alexander Nikulin Vladislav Kurenkov Denis Tarasov Sergey Kolesnikov 38 24 0 31 Jan 2023
PartAL: Efficient Partial Active Learning in Multi-Task Visual Settings N. Durasov Nik Dorndorf Pascal Fua VLM 21 5 0 21 Nov 2022
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference N. Durasov Nik Dorndorf Hieu M. Le Pascal Fua UQCV 33 10 0 21 Nov 2022
Revisiting Softmax for Uncertainty Approximation in Text Classification Andreas Nugaard Holm Dustin Wright Isabelle Augenstein BDL UQCV 24 9 0 25 Oct 2022
Packed-Ensembles for Efficient Uncertainty Estimation Olivier Laurent Adrien Lafage Enzo Tartaglione Geoffrey Daniel Jean-Marc Martinez Andrei Bursuc Gianni Franchi OODD 46 32 0 17 Oct 2022
Uncertainty-aware Perception Models for Off-road Autonomous Unmanned Ground Vehicles Zhaoyuan Yang Y. Tan Shiraj Sen Johan Reimann John N. Karigiannis Mohammed A. Yousefhussien Nurali Virani 24 4 0 22 Sep 2022
Instance-Aware Observer Network for Out-of-Distribution Object Segmentation Victor Besnier Andrei Bursuc David Picard Alexandre Briot 41 1 0 18 Jul 2022
Batch-Ensemble Stochastic Neural Networks for Out-of-Distribution Detection Xiongjie Chen Yunpeng Li Yongxin Yang UQCV OODD 29 3 0 26 Jun 2022
Diverse Lottery Tickets Boost Ensemble from a Single Pretrained Model Sosuke Kobayashi Shun Kiyono Jun Suzuki Kentaro Inui MoMe 34 7 0 24 May 2022
Dropout Q-Functions for Doubly Efficient Reinforcement Learning Takuya Hiraoka Takahisa Imagawa Taisei Hashimoto Takashi Onishi Yoshimasa Tsuruoka 13 105 0 05 Oct 2021
DEBOSH: Deep Bayesian Shape Optimization N. Durasov Artem Lukoyanov Jonathan Donier Pascal Fua UQCV AI4CE 38 15 0 28 Sep 2021
Leveraging Self-Supervision for Cross-Domain Crowd Counting Weizhe Liu N. Durasov Pascal Fua 22 40 0 30 Mar 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,683 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,156 0 06 Jun 2015