What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?

15 March 2017

Alex Kendall

Papers citing "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"

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Title
Sampling-Free Variational Inference of Bayesian Neural Networks by Variance Backpropagation Manuel Haussmann Fred Hamprecht M. Kandemir BDL 26 6 0 19 May 2018
Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks Sungjoon Choi Sanghoon Hong Kyungjae Lee Sungbin Lim OOD 27 8 0 16 May 2018
Confidence Scoring Using Whitebox Meta-models with Linear Classifier Probes Tongfei Chen Jirí Navrátil Vijay Iyengar Karthikeyan Shanmugam 10 42 0 14 May 2018
Spatial Uncertainty Sampling for End-to-End Control Alexander Amini A. Soleimany S. Karaman Daniela Rus UQCV BDL 12 30 0 13 May 2018
Just-in-Time Reconstruction: Inpainting Sparse Maps using Single View Depth Predictors as Priors C. Weerasekera Thanuja Dharmasiri Ravi Garg Tom Drummond Ian Reid 32 27 0 11 May 2018
Loss-Calibrated Approximate Inference in Bayesian Neural Networks Adam D. Cobb Stephen J. Roberts Y. Gal BDL UQCV 9 43 0 10 May 2018
Deep Directional Statistics: Pose Estimation with Uncertainty Quantification Sergey Prokudin Peter V. Gehler Sebastian Nowozin UQCV OOD 25 88 0 09 May 2018
Improve Uncertainty Estimation for Unknown Classes in Bayesian Neural Networks with Semi-Supervised /One Set Classification Buu Phan UQCV BDL 17 0 0 04 May 2018
On the iterative refinement of densely connected representation levels for semantic segmentation Arantxa Casanova Guillem Cucurull M. Drozdzal Adriana Romero Yoshua Bengio SSeg 23 24 0 30 Apr 2018
Sampling-free Uncertainty Estimation in Gated Recurrent Units with Exponential Families Seong Jae Hwang Ronak R. Mehta Hyunwoo J. Kim Vikas Singh BDL UQCV 12 3 0 19 Apr 2018
The Limits and Potentials of Deep Learning for Robotics Niko Sünderhauf Oliver Brock Walter J. Scheirer R. Hadsell Dieter Fox ... B. Upcroft Pieter Abbeel Wolfram Burgard Michael Milford Peter Corke 17 522 0 18 Apr 2018
Towards Safe Autonomous Driving: Capture Uncertainty in the Deep Neural Network For Lidar 3D Vehicle Detection Di Feng Lars Rosenbaum Klaus C. J. Dietmayer 3DPC UQCV 36 242 0 13 Apr 2018
Improving Confidence Estimates for Unfamiliar Examples Zhizhong Li Derek Hoiem 25 9 0 09 Apr 2018
Self-supervised Learning of Geometrically Stable Features Through Probabilistic Introspection David Novotny Samuel Albanie Diane Larlus Andrea Vedaldi SSL 30 65 0 04 Apr 2018
Training VAEs Under Structured Residuals Garoe Dorta Sara Vicente Lourdes Agapito Neill D. F. Campbell Ivor J. A. Simpson BDL DRL 24 12 0 03 Apr 2018
CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM Michael Bloesch J. Czarnowski R. Clark Stefan Leutenegger Andrew J. Davison MDE 3DH 35 370 0 03 Apr 2018
Safe end-to-end imitation learning for model predictive control Keuntaek Lee Kamil Saigol Evangelos A. Theodorou BDL 24 24 0 27 Mar 2018
Calibrated Prediction Intervals for Neural Network Regressors Gil Keren N. Cummins Björn Schuller UQCV 30 31 0 26 Mar 2018
Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning Nicolas Papernot Patrick McDaniel OOD AAML 13 503 0 13 Mar 2018
Using Deep Learning for Segmentation and Counting within Microscopy Data Carlos X. Hernández Mohammad M. Sultan Vijay S. Pande 25 33 0 28 Feb 2018
Predictive Uncertainty Estimation via Prior Networks A. Malinin Mark Gales UD BDL EDL UQCV PER 32 898 0 28 Feb 2018
Active Learning with Partial Feedback Peiyun Hu Zachary Chase Lipton Anima Anandkumar Deva Ramanan 22 66 0 21 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 31 220 0 20 Feb 2018
Structured Uncertainty Prediction Networks Garoe Dorta Sara Vicente Lourdes Agapito Neill D. F. Campbell Ivor J. A. Simpson UQCV 49 62 0 20 Feb 2018
Learning Confidence for Out-of-Distribution Detection in Neural Networks Terrance Devries Graham W. Taylor OOD OODD 43 581 0 13 Feb 2018
Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning T. Vandal E. Kodra Jennifer Dy S. Ganguly R. Nemani A. Ganguly UQCV BDL 30 52 0 13 Feb 2018
Answerer in Questioner's Mind: Information Theoretic Approach to Goal-Oriented Visual Dialog Sang-Woo Lee Y. Heo Byoung-Tak Zhang 30 31 0 12 Feb 2018
Gradient conjugate priors and multi-layer neural networks P. Gurevich Hannes Stuke BDL 25 14 0 07 Feb 2018
Bayesian Deep Convolutional Encoder-Decoder Networks for Surrogate Modeling and Uncertainty Quantification Yinhao Zhu N. Zabaras UQCV BDL 27 638 0 21 Jan 2018
DropMax: Adaptive Variational Softmax Haebeom Lee Juho Lee Saehoon Kim Eunho Yang Sung Ju Hwang 21 13 0 21 Dec 2017
Sensitivity Analysis for Predictive Uncertainty in Bayesian Neural Networks Stefan Depeweg José Miguel Hernández-Lobato Steffen Udluft Thomas Runkler PER UD 6 7 0 10 Dec 2017
Propagating Uncertainty in Multi-Stage Bayesian Convolutional Neural Networks with Application to Pulmonary Nodule Detection Onur Ozdemir Benjamin Woodward A. Berlin UQCV MedIm 12 37 0 01 Dec 2017
Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty Apratim Bhattacharyya Mario Fritz Bernt Schiele 35 201 0 24 Nov 2017
Adversarial Phenomenon in the Eyes of Bayesian Deep Learning Ambrish Rawat Martin Wistuba Maria-Irina Nicolae BDL AAML 16 39 0 22 Nov 2017
"Dave...I can assure you...that it's going to be all right..." -- A definition, case for, and survey of algorithmic assurances in human-autonomy trust relationships Brett W. Israelsen Nisar R. Ahmed 6 85 0 08 Nov 2017
Deep density networks and uncertainty in recommender systems Yoel Zeldes Stavros Theodorakis Efrat Solodnik Aviv Rotman Gil Chamiel Dan Friedman 41 11 0 07 Nov 2017
Decomposition of Uncertainty in Bayesian Deep Learning for Efficient and Risk-sensitive Learning Stefan Depeweg José Miguel Hernández-Lobato Finale Doshi-Velez Steffen Udluft UQCV PER BDL UD 14 27 0 19 Oct 2017
Dropout Sampling for Robust Object Detection in Open-Set Conditions Dimity Miller Lachlan Nicholson Feras Dayoub Niko Sünderhauf BDL UQCV 39 232 0 18 Oct 2017
On the Capacity of Face Representation Sixue Gong Vishnu Boddeti Anil K. Jain CVBM 18 14 0 29 Sep 2017
3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D Images Benjamin Hou Bishesh Khanal A. Alansary Jingyu Sun A. Davidson M. Rutherford Joseph V. Hajnal Daniel Rueckert Ben Glocker Bernhard Kainz 19 71 0 19 Sep 2017
DPC-Net: Deep Pose Correction for Visual Localization Valentin Peretroukhin Jonathan Kelly 22 49 0 10 Sep 2017
Deep and Confident Prediction for Time Series at Uber Lingxue Zhu N. Laptev BDL AI4TS 30 342 0 06 Sep 2017
Uncertainty-Aware Learning from Demonstration using Mixture Density Networks with Sampling-Free Variance Modeling Sungjoon Choi Kyungjae Lee Sungbin Lim Songhwai Oh 13 97 0 03 Sep 2017
From Deterministic to Generative: Multi-Modal Stochastic RNNs for Video Captioning Jingkuan Song Yuyu Guo Lianli Gao Xuelong Li Alan Hanjalic Heng Tao Shen 40 219 0 08 Aug 2017
3D Sketching using Multi-View Deep Volumetric Prediction J. Delanoy Mathieu Aubry Phillip Isola Alexei A. Efros Adrien Bousseau 3DV 27 126 0 26 Jul 2017
Deep Active Learning for Named Entity Recognition Yanyao Shen Hyokun Yun Zachary Chase Lipton Y. Kronrod Anima Anandkumar HAI 36 454 0 19 Jul 2017
Uncertainty Decomposition in Bayesian Neural Networks with Latent Variables Stefan Depeweg José Miguel Hernández-Lobato Finale Doshi-Velez Steffen Udluft PER UQCV UD BDL 11 43 0 26 Jun 2017
Uncertainty-Aware Organ Classification for Surgical Data Science Applications in Laparoscopy S. Moccia Sebastian J. Wirkert H. Kenngott A. Vemuri M. Apitz Benjamin F. B. Mayer E. De Momi L. Mattos L. Maier-Hein 20 51 0 21 Jun 2017
Robust and Efficient Transfer Learning with Hidden-Parameter Markov Decision Processes Taylor W. Killian Samuel Daulton George Konidaris Finale Doshi-Velez 6 105 0 20 Jun 2017
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 56 5,690 0 14 Jun 2017