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Predicted Embedding Power Regression for Large-Scale Out-of-Distribution Detection

7 March 2023

Papers citing "Predicted Embedding Power Regression for Large-Scale Out-of-Distribution Detection"

29 / 29 papers shown

Title
Anomaly Detection in Autonomous Driving: A Survey Daniel Bogdoll Maximilian Nitsche J. Marius Zöllner 71 121 0 17 Apr 2022
Unsolved Problems in ML Safety Dan Hendrycks Nicholas Carlini John Schulman Jacob Steinhardt 244 294 0 28 Sep 2021
Exploring the Limits of Out-of-Distribution Detection Stanislav Fort Jie Jessie Ren Balaji Lakshminarayanan 77 338 0 06 Jun 2021
MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space Rui Huang Yixuan Li OODD 85 249 0 05 May 2021
ImageNet-21K Pretraining for the Masses T. Ridnik Emanuel Ben-Baruch Asaf Noy Lihi Zelnik-Manor SSeg VLM CLIP 324 711 0 22 Apr 2021
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 271 1,374 0 08 Oct 2020
Big Transfer (BiT): General Visual Representation Learning Alexander Kolesnikov Lucas Beyer Xiaohua Zhai J. Puigcerver Jessica Yung Sylvain Gelly N. Houlsby MQ 288 1,211 0 24 Dec 2019
Scaling Out-of-Distribution Detection for Real-World Settings Dan Hendrycks Steven Basart Mantas Mazeika Andy Zou Joe Kwon Mohammadreza Mostajabi Jacob Steinhardt Basel Alomair OODD 193 486 0 25 Nov 2019
The reliability of a deep learning model in clinical out-of-distribution MRI data: a multicohort study G. Mårtensson D. Ferreira T. Granberg L. Cavallin K. Oppedal ... H. Soininen S. Lovestone A. Simmons D. Aarsland E. Westman OOD 72 137 0 01 Nov 2019
Are Out-of-Distribution Detection Methods Effective on Large-Scale Datasets? Ryne Roady Tyler L. Hayes Ronald Kemker Ayesha Gonzales Christopher Kanan OODD 67 20 0 30 Oct 2019
SelectiveNet: A Deep Neural Network with an Integrated Reject Option Yonatan Geifman Ran El-Yaniv CVBM OOD 128 311 0 26 Jan 2019
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 183 1,487 0 11 Dec 2018
Uncertainty in Neural Networks: Approximately Bayesian Ensembling Tim Pearce Felix Leibfried Alexandra Brintrup Mohamed H. Zaki A. Neely BDL UQCV 77 198 0 12 Oct 2018
Discriminative out-of-distribution detection for semantic segmentation Petra Bevandić Ivan Kreso Marin Orsic Sinisa Segvic 68 80 0 23 Aug 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks Kimin Lee Kibok Lee Honglak Lee Jinwoo Shin OODD 192 2,063 0 10 Jul 2018
Predictive Uncertainty Estimation via Prior Networks A. Malinin Mark Gales UD BDL EDL UQCV PER 197 923 0 28 Feb 2018
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples Kimin Lee Honglak Lee Kibok Lee Jinwoo Shin OODD 128 882 0 26 Nov 2017
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks Shiyu Liang Yixuan Li R. Srikant UQCV OODD 171 2,081 0 08 Jun 2017
Ensemble Sampling Xiuyuan Lu Benjamin Van Roy 129 121 0 20 May 2017
Hard Mixtures of Experts for Large Scale Weakly Supervised Vision Sam Gross MarcÁurelio Ranzato Arthur Szlam MoE 63 102 0 20 Apr 2017
YOLO9000: Better, Faster, Stronger Joseph Redmon Ali Farhadi VLM ObjD 183 15,633 0 25 Dec 2016
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 842 5,841 0 05 Dec 2016
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 171 3,480 0 07 Oct 2016
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter 305 5,534 0 23 Nov 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 367 19,733 0 09 Mar 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 467 43,347 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,364 0 22 Dec 2014
Self-informed neural network structure learning David Warde-Farley Andrew Rabinovich Dragomir Anguelov SSL 67 18 0 20 Dec 2014
Describing Textures in the Wild Mircea Cimpoi Subhransu Maji Iasonas Kokkinos S. Mohamed Andrea Vedaldi 3DV 146 2,689 0 14 Nov 2013