A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

7 October 2016

Papers citing "A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks"

50 / 770 papers shown

Title
Shifting Transformation Learning for Out-of-Distribution Detection Sina Mohseni Arash Vahdat J. Yadawa OODD 33 7 0 07 Jun 2021
OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with Outliers Kuniaki Saito Donghyun Kim Kate Saenko 34 63 0 28 May 2021
TR-BERT: Dynamic Token Reduction for Accelerating BERT Inference Deming Ye Yankai Lin Yufei Huang Maosong Sun MQ 27 63 0 25 May 2021
Out-of-Distribution Detection in Dermatology using Input Perturbation and Subset Scanning Hannah Kim G. Tadesse C. Cintas Skyler Speakman Kush R. Varshney OOD 22 18 0 24 May 2021
Do We Really Need to Learn Representations from In-domain Data for Outlier Detection? Zhisheng Xiao Qing Yan Y. Amit OOD UQCV 25 18 0 19 May 2021
AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference Min Li Yu Li Ye Tian Li Jiang Qiang Xu 41 33 0 10 May 2021
Topological Uncertainty: Monitoring trained neural networks through persistence of activation graphs Théo Lacombe Yuichi Ike Mathieu Carrière Frédéric Chazal Marc Glisse Yuhei Umeda 29 20 0 07 May 2021
Distribution Awareness for AI System Testing David Berend 24 8 0 06 May 2021
MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space Rui Huang Yixuan Li OODD 39 237 0 05 May 2021
SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation Robin Shing Moon Chan Krzysztof Lis Svenja Uhlemeyer Hermann Blum S. Honari Roland Siegwart Pascal Fua Mathieu Salzmann Matthias Rottmann UQCV 26 136 0 30 Apr 2021
MOOD: Multi-level Out-of-distribution Detection Ziqian Lin Sreya . Dutta Roy Yixuan Li OODD 34 114 0 30 Apr 2021
Ultra-High Dimensional Sparse Representations with Binarization for Efficient Text Retrieval Kyoung-Rok Jang Junmo Kang Giwon Hong Sung-Hyon Myaeng Joohee Park Taewon Yoon Heecheol Seo 39 20 0 15 Apr 2021
Unsupervised Class-Incremental Learning Through Confusion Shivam Khare Kun Cao James M. Rehg SSL CLL 24 6 0 09 Apr 2021
Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions Abhijit Guha Roy Jie Jessie Ren Shekoofeh Azizi Aaron Loh Vivek Natarajan ... Yun-Hui Liu taylan. cemgil Alan Karthikesalingam Balaji Lakshminarayanan Jim Winkens 18 104 0 08 Apr 2021
Deep Learning and Traffic Classification: Lessons learned from a commercial-grade dataset with hundreds of encrypted and zero-day applications Lixuan Yang A. Finamore Feng Jun Dario Rossi 22 46 0 07 Apr 2021
OpenGAN: Open-Set Recognition via Open Data Generation Shu Kong Deva Ramanan 22 212 0 07 Apr 2021
OodGAN: Generative Adversarial Network for Out-of-Domain Data Generation Petro Marek V. Naik Vincent Auvray Anuj Kumar Goyal 33 32 0 06 Apr 2021
Performance Analysis of Out-of-Distribution Detection on Various Trained Neural Networks Jens Henriksson C. Berger Markus Borg Lars Tornberg S. Sathyamoorthy Cristofer Englund OODD 22 17 0 29 Mar 2021
AlignMixup: Improving Representations By Interpolating Aligned Features Shashanka Venkataramanan Ewa Kijak Laurent Amsaleg Yannis Avrithis WSOL 37 61 0 29 Mar 2021
W2WNet: a two-module probabilistic Convolutional Neural Network with embedded data cleansing functionality Francesco Ponzio Enrico Macii E. Ficarra S. D. Cataldo 30 4 0 24 Mar 2021
SSD: A Unified Framework for Self-Supervised Outlier Detection Vikash Sehwag M. Chiang Prateek Mittal OODD 31 332 0 22 Mar 2021
CheXbreak: Misclassification Identification for Deep Learning Models Interpreting Chest X-rays E. Chen Andy Kim R. Krishnan J. Long A. Ng Pranav Rajpurkar 26 2 0 18 Mar 2021
Measuring Mathematical Problem Solving With the MATH Dataset Dan Hendrycks Collin Burns Saurav Kadavath Akul Arora Steven Basart Eric Tang D. Song Jacob Steinhardt ReLM FaML 89 1,911 0 05 Mar 2021
Posterior Meta-Replay for Continual Learning Christian Henning Maria R. Cervera Francesco DÁngelo J. Oswald Regina Traber Benjamin Ehret Seijin Kobayashi Benjamin Grewe João Sacramento CLL BDL 51 55 0 01 Mar 2021
A statistical framework for efficient out of distribution detection in deep neural networks Matan Haroush Tzviel Frostig R. Heller Daniel Soudry OODD 27 37 0 25 Feb 2021
Sketching Curvature for Efficient Out-of-Distribution Detection for Deep Neural Networks Apoorva Sharma Navid Azizan Marco Pavone UQCV 36 45 0 24 Feb 2021
FINE Samples for Learning with Noisy Labels Taehyeon Kim Jongwoo Ko Sangwook Cho J. Choi Se-Young Yun NoLa 38 103 0 23 Feb 2021
Deep Deterministic Uncertainty: A Simple Baseline Jishnu Mukhoti Andreas Kirsch Joost R. van Amersfoort Philip Torr Y. Gal UD UQCV PER BDL 37 146 0 23 Feb 2021
Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping Prakhar Kaushik Alex Gain Adam Kortylewski Alan Yuille CLL 11 69 0 22 Feb 2021
Self-Supervised Features Improve Open-World Learning A. Dhamija T. Ahmad Jonathan Schwan Mohsen Jafarzadeh Chunchun Li Terrance E. Boult SSL 32 13 0 15 Feb 2021
Corner Cases for Visual Perception in Automated Driving: Some Guidance on Detection Approaches Jasmin Breitenstein Jan-Aike Termöhlen Daniel Lipinski Tim Fingscheidt AAML 30 35 0 11 Feb 2021
GAN Inversion: A Survey Weihao Xia Yulun Zhang Yujiu Yang Jing-Hao Xue Bolei Zhou Ming-Hsuan Yang DiffM 91 507 0 14 Jan 2021
DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation Alexandre Ramé Matthieu Cord FedML 56 51 0 14 Jan 2021
An evaluation of word-level confidence estimation for end-to-end automatic speech recognition Dan Oneaţă Alexandru Caranica Adriana Stan H. Cucu UQCV 37 25 0 14 Jan 2021
Bridging In- and Out-of-distribution Samples for Their Better Discriminability Engkarat Techapanurak Anh-Chuong Dang Takayuki Okatani OODD 25 3 0 07 Jan 2021
Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends Q. Rahman Peter Corke Feras Dayoub OOD 44 51 0 05 Jan 2021
Uncertainty-sensitive Activity Recognition: a Reliability Benchmark and the CARING Models Alina Roitberg Monica Haurilet Manuel Martínez Rainer Stiefelhagen UQCV 39 6 0 02 Jan 2021
Multidimensional Uncertainty-Aware Evidential Neural Networks Yibo Hu Yuzhe Ou Xujiang Zhao Jin-Hee Cho Feng Chen EDL UQCV AAML 33 23 0 26 Dec 2020
Active Deep Learning on Entity Resolution by Risk Sampling Youcef Nafa Qun Chen Zhaoqiang Chen Xingyu Lu Haiyang He Tianyi Duan Zhanhuai Li 10 16 0 23 Dec 2020
Deep Open Intent Classification with Adaptive Decision Boundary Hanlei Zhang Hua Xu Ting-En Lin VLM 26 103 0 18 Dec 2020
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 108 1,386 0 14 Dec 2020
Open-World Class Discovery with Kernel Networks Zifeng Wang Batool Salehi Andrey Gritsenko Kaushik R. Chowdhury Stratis Ioannidis Jennifer Dy 31 17 0 13 Dec 2020
Confidence Estimation via Auxiliary Models Charles Corbière Nicolas Thome A. Saporta Tuan-Hung Vu Matthieu Cord P. Pérez TPM 29 47 0 11 Dec 2020
Know Your Limits: Uncertainty Estimation with ReLU Classifiers Fails at Reliable OOD Detection Dennis Ulmer Giovanni Cina OODD 40 31 0 09 Dec 2020
Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic Segmentation Robin Shing Moon Chan Matthias Rottmann Hanno Gottschalk OODD 37 149 0 09 Dec 2020
The Hidden Uncertainty in a Neural Networks Activations Janis Postels Hermann Blum Yannick Strümpler Cesar Cadena Roland Siegwart Luc Van Gool Federico Tombari UQCV 39 22 0 05 Dec 2020
Improved Contrastive Divergence Training of Energy Based Models Yilun Du Shuang Li J. Tenenbaum Igor Mordatch 46 139 0 02 Dec 2020
Feature Space Singularity for Out-of-Distribution Detection Haiwen Huang Zhihan Li Lulu Wang Sishuo Chen Bin Dong Xinyu Zhou OODD 22 65 0 30 Nov 2020
BinPlay: A Binary Latent Autoencoder for Generative Replay Continual Learning Kamil Deja Pawel Wawrzyñski Daniel Marczak Wojciech Masarczyk Tomasz Trzciñski SyDa 16 9 0 25 Nov 2020
Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs Cheng Wang Carolin (Haas) Lawrence Mathias Niepert UQCV 29 10 0 24 Nov 2020