Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision

4 June 2019

Fredrik K. Gustafsson

Papers citing "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision"

48 / 48 papers shown

Title
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 230 13 0 28 Jan 2025
Training-Free Bayesianization for Low-Rank Adapters of Large Language Models Haizhou Shi Yibin Wang Ligong Han Huatian Zhang Hao Wang UQCV 189 2 0 07 Dec 2024
LoRA-Ensemble: Efficient Uncertainty Modelling for Self-Attention Networks Michelle Halbheer Dominik J. Mühlematter Alexander Becker Dominik Narnhofer Helge Aasen Konrad Schindler Mehmet Özgür Türkoglu UQCV 72 2 0 23 May 2024
Enabling Uncertainty Estimation in Iterative Neural Networks Nikita Durasov Doruk Öner Jonathan Donier Hieu M. Le Pascal Fua UQCV 175 9 0 25 Mar 2024
Uncertainty quantification in fine-tuned LLMs using LoRA ensembles Oleksandr Balabanov Hampus Linander UQCV 88 18 0 19 Feb 2024
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift Yaniv Ovadia Emily Fertig Jie Jessie Ren Zachary Nado D. Sculley Sebastian Nowozin Joshua V. Dillon Balaji Lakshminarayanan Jasper Snoek UQCV 159 1,691 0 06 Jun 2019
Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object Detection Zhixin Wang Kui Jia 3DPC 78 442 0 05 Mar 2019
Evaluating model calibration in classification Juozas Vaicenavicius David Widmann Carl R. Andersson Fredrik Lindsten Jacob Roll Thomas B. Schon UQCV 148 198 0 19 Feb 2019
Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning Ruqi Zhang Chunyuan Li Jianyi Zhang Changyou Chen A. Wilson BDL 72 276 0 11 Feb 2019
PointPillars: Fast Encoders for Object Detection from Point Clouds Alex H. Lang Sourabh Vora Holger Caesar Lubing Zhou Jiong Yang Oscar Beijbom 3DPC 73 3,441 0 14 Dec 2018
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud Shaoshuai Shi Xiaogang Wang Hongsheng Li 3DPC 180 2,407 0 11 Dec 2018
Evaluating Bayesian Deep Learning Methods for Semantic Segmentation Jishnu Mukhoti Y. Gal UQCV BDL 68 222 0 30 Nov 2018
Confidence Propagation through CNNs for Guided Sparse Depth Regression Yi Shi Michael Felsberg Jason H. Li 3DV 62 189 0 05 Nov 2018
Synscapes: A Photorealistic Synthetic Dataset for Street Scene Parsing Magnus Wrenninge Jonas Unger 58 188 0 19 Oct 2018
Pyro: Deep Universal Probabilistic Programming Eli Bingham Jonathan P. Chen M. Jankowiak F. Obermeyer Neeraj Pradhan Theofanis Karaletsos Rohit Singh Paul A. Szerlip Paul Horsfall Noah D. Goodman BDL GP 155 1,053 0 18 Oct 2018
OCNet: Object Context Network for Scene Parsing Yuhui Yuan Lang Huang Jianyuan Guo Chao Zhang Xilin Chen Jingdong Wang 72 604 0 04 Sep 2018
Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera Fangchang Ma G. V. Cavalheiro S. Karaman 3DV MDE SSL 73 417 0 01 Jul 2018
Evidential Deep Learning to Quantify Classification Uncertainty Murat Sensoy Lance M. Kaplan M. Kandemir OOD UQCV EDL BDL 177 991 0 05 Jun 2018
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models Kurtland Chua Roberto Calandra R. McAllister Sergey Levine BDL 221 1,277 0 30 May 2018
Lightweight Probabilistic Deep Networks Jochen Gast Stefan Roth UQCV OOD BDL 72 181 0 29 May 2018
Predictive Uncertainty Estimation via Prior Networks A. Malinin Mark Gales UD BDL EDL UQCV PER 183 914 0 28 Feb 2018
Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow Eddy Ilg Özgün Çiçek Silvio Galesso Aaron Klein Osama Makansi Frank Hutter Thomas Brox UQCV 81 222 0 20 Feb 2018
Noisy Natural Gradient as Variational Inference Guodong Zhang Shengyang Sun David Duvenaud Roger C. Grosse ODL 67 212 0 06 Dec 2017
Frustum PointNets for 3D Object Detection from RGB-D Data C. Qi Wen Liu Chenxia Wu Hao Su Leonidas Guibas 3DPC 147 2,263 0 22 Nov 2017
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection Yin Zhou Oncel Tuzel 3DPC 104 3,719 0 17 Nov 2017
Sparsity Invariant CNNs J. Uhrig N. Schneider Lukas Schneider Uwe Franke Thomas Brox Andreas Geiger 124 826 0 22 Aug 2017
Rethinking Atrous Convolution for Semantic Image Segmentation Liang-Chieh Chen George Papandreou Florian Schroff Hartwig Adam SSeg 225 8,468 0 17 Jun 2017
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 291 5,825 0 14 Jun 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 352 4,704 0 15 Mar 2017
Multiplicative Normalizing Flows for Variational Bayesian Neural Networks Christos Louizos Max Welling BDL 144 460 0 06 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 818 5,806 0 05 Dec 2016
Designing Energy-Efficient Convolutional Neural Networks using Energy-Aware Pruning Tien-Ju Yang Yu-hsin Chen Vivienne Sze 3DV 86 738 0 16 Nov 2016
Natural-Parameter Networks: A Class of Probabilistic Neural Networks Hao Wang Xingjian Shi Dit-Yan Yeung BDL 64 83 0 02 Nov 2016
Virtual Worlds as Proxy for Multi-Object Tracking Analysis Adrien Gaidon Qiao Wang Yohann Cabon E. Vig 75 1,073 0 20 May 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 733 37,843 0 20 May 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele 1.1K 11,606 0 06 Apr 2016
Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors Christos Louizos Max Welling BDL 60 257 0 15 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,814 0 10 Dec 2015
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding Alex Kendall Vijay Badrinarayanan R. Cipolla UQCV BDL 83 1,064 0 09 Nov 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 253 8,832 0 01 Oct 2015
A Complete Recipe for Stochastic Gradient MCMC Yian Ma Tianqi Chen E. Fox BDL SyDa 60 486 0 15 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 802 9,302 0 06 Jun 2015
Weight Uncertainty in Neural Networks Charles Blundell Julien Cornebise Koray Kavukcuoglu Daan Wierstra UQCV BDL 185 1,886 0 20 May 2015
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks José Miguel Hernández-Lobato Ryan P. Adams UQCV BDL 125 944 0 18 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.7K 150,006 0 22 Dec 2014
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 254 1,198 0 30 Nov 2014
Stochastic Gradient Hamiltonian Monte Carlo Tianqi Chen E. Fox Carlos Guestrin BDL 104 908 0 17 Feb 2014
MCMC using Hamiltonian dynamics Radford M. Neal 290 3,280 0 09 Jun 2012