Introspective Robot Perception using Smoothed Predictions from Bayesian Neural Networks

27 September 2021

Jianxiang Feng

M. Durner

Zoltán-Csaba Márton

Ferenc Bálint-Benczédi

Papers citing "Introspective Robot Perception using Smoothed Predictions from Bayesian Neural Networks"

26 / 26 papers shown

Title
Evaluating Uncertainty-based Failure Detection for Closed-Loop LLM Planners Zhi Zheng Qian Feng Hang Li Alois C. Knoll Jianxiang Feng 110 6 0 01 Jun 2024
Self-supervised Domain Adaptation for Computer Vision Tasks Jiaolong Xu Liang Xiao Antonio M. López OOD SSL VLM 23 133 0 25 Jul 2019
Revisiting Self-Supervised Visual Representation Learning Alexander Kolesnikov Xiaohua Zhai Lucas Beyer SSL 108 716 0 25 Jan 2019
Adversarial Distillation of Bayesian Neural Network Posteriors Kuan-Chieh Wang Paul Vicol James Lucas Li Gu Roger C. Grosse R. Zemel UQCV GAN AAML BDL 31 56 0 27 Jun 2018
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 144 5,774 0 14 Jun 2017
Concrete Dropout Y. Gal Jiri Hron Alex Kendall BDL UQCV 106 587 0 22 May 2017
Deep Bayesian Active Learning with Image Data Y. Gal Riashat Islam Zoubin Ghahramani BDL UQCV 29 1,717 0 08 Mar 2017
Multiplicative Normalizing Flows for Variational Bayesian Neural Networks Christos Louizos Max Welling BDL 127 456 0 06 Mar 2017
T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-less Objects Tomás Hodan Pavel Haluza Stepán Obdrzálek Jirí Matas Manolis I. A. Lourakis Xenophon Zabulis 46 497 0 19 Jan 2017
Active Self-Paced Learning for Cost-Effective and Progressive Face Identification Liang Lin Keze Wang Deyu Meng W. Zuo Lei Zhang CVBM 49 152 0 13 Jan 2017
Cost-Effective Active Learning for Deep Image Classification Keze Wang Dongyu Zhang Ya Li Ruimao Zhang Liang Lin VLM 45 676 0 13 Jan 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 426 5,748 0 05 Dec 2016
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 431 3,124 0 04 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 78 2,518 0 02 Nov 2016
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 84 3,420 0 07 Oct 2016
A Survey on Bayesian Deep Learning Hao Wang Dit-Yan Yeung BDL 39 49 0 06 Apr 2016
Composing graphical models with neural networks for structured representations and fast inference Matthew J. Johnson David Duvenaud Alexander B. Wiltschko S. R. Datta Ryan P. Adams BDL OCL 53 483 0 20 Mar 2016
Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors Christos Louizos Max Welling BDL 48 256 0 15 Mar 2016
Deep Exploration via Bootstrapped DQN Ian Osband Charles Blundell Alexander Pritzel Benjamin Van Roy 51 1,302 0 15 Feb 2016
Bayesian Dark Knowledge Masashi Sugiyama Vivek Rathod R. Garnett Max Welling BDL UQCV 43 258 0 14 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 408 9,233 0 06 Jun 2015
CRF Learning with CNN Features for Image Segmentation Fayao Liu Guosheng Lin Chunhua Shen SSeg 42 207 0 28 Mar 2015
Optimizing Neural Networks with Kronecker-factored Approximate Curvature James Martens Roger C. Grosse ODL 54 999 0 19 Mar 2015
Deep Convolutional Neural Fields for Depth Estimation from a Single Image Fayao Liu Chunhua Shen Guosheng Lin MDE 94 890 0 24 Nov 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 833 39,383 0 01 Sep 2014
Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation Jonathan Tompson Arjun Jain Yann LeCun C. Bregler 3DH 95 1,536 0 11 Jun 2014