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"

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Title
The Emerging Trends of Multi-Label Learning Weiwei Liu Haobo Wang Xiaobo Shen Ivor W. Tsang 43 252 0 23 Nov 2020
Gradient Starvation: A Learning Proclivity in Neural Networks Mohammad Pezeshki Sekouba Kaba Yoshua Bengio Aaron Courville Doina Precup Guillaume Lajoie MLT 54 259 0 18 Nov 2020
DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference Jiyang Xie Zhanyu Ma Jing-Hao Xue Guoqiang Zhang Jun Guo BDL 32 11 0 17 Nov 2020
Automatic segmentation with detection of local segmentation failures in cardiac MRI Jörg Sander B. D. de Vos Ivana Išgum 25 50 0 13 Nov 2020
Testing for Typicality with Respect to an Ensemble of Learned Distributions F. Laine Claire Tomlin 13 0 0 11 Nov 2020
Trust Issues: Uncertainty Estimation Does Not Enable Reliable OOD Detection On Medical Tabular Data Dennis Ulmer L. Meijerink Giovanni Cina OOD 13 64 0 06 Nov 2020
Out-of-Distribution Detection for Automotive Perception Julia Nitsch Masha Itkina Ransalu Senanayake Juan I. Nieto M. Schmidt Roland Siegwart Mykel J. Kochenderfer Cesar Cadena UQCV 23 63 0 03 Nov 2020
Being Single Has Benefits. Instance Poisoning to Deceive Malware Classifiers T. Shapira David Berend Ishai Rosenberg Yang Liu A. Shabtai Yuval Elovici AAML 27 4 0 30 Oct 2020
Selective Classification Can Magnify Disparities Across Groups Erik Jones Shiori Sagawa Pang Wei Koh Ananya Kumar Percy Liang 39 46 0 27 Oct 2020
Interpretation of NLP models through input marginalization Siwon Kim Jihun Yi Eunji Kim Sungroh Yoon MILM FAtt 30 58 0 27 Oct 2020
Multiscale Score Matching for Out-of-Distribution Detection Ahsan Mahmood Junier Oliva M. Styner OODD 27 30 0 25 Oct 2020
Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference Jianguo Zhang Kazuma Hashimoto Wenhao Liu Chien-Sheng Wu Yao Wan Philip S. Yu R. Socher Caiming Xiong 16 92 0 25 Oct 2020
Uncertainty Aware Semi-Supervised Learning on Graph Data Xujiang Zhao Feng Chen Shu Hu Jin-Hee Cho UQCV EDL BDL 124 131 0 24 Oct 2020
PEP: Parameter Ensembling by Perturbation Alireza Mehrtash Purang Abolmaesumi Polina Golland Tina Kapur Demian Wassermann W. Wells 30 10 0 24 Oct 2020
Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data Lingkai Kong Haoming Jiang Yuchen Zhuang Jie Lyu T. Zhao Chao Zhang OODD 32 26 0 22 Oct 2020
Confidence Estimation for Attention-based Sequence-to-sequence Models for Speech Recognition Qiujia Li David Qiu Yu Zhang Yue Liu Yanzhang He P. Woodland Liangliang Cao Trevor Strohman 12 46 0 22 Oct 2020
Failure Prediction by Confidence Estimation of Uncertainty-Aware Dirichlet Networks Theodoros Tsiligkaridis UQCV 22 7 0 19 Oct 2020
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 234 681 0 19 Oct 2020
Anomaly Detection With Conditional Variational Autoencoders Adrian Alan Pol Victor Berger G. Cerminara Cécile Germain M. Pierini CML DRL 24 111 0 12 Oct 2020
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 119 1,306 0 08 Oct 2020
Deep Anomaly Detection by Residual Adaptation Lucas Deecke Lukas Ruff Robert A. Vandermeulen Hakan Bilen UQCV 33 4 0 05 Oct 2020
Generative Model-Enhanced Human Motion Prediction Anthony Bourached Ryan-Rhys Griffiths Robert J. Gray A. Jha P. Nachev 34 15 0 05 Oct 2020
MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection Marius Schubert Karsten Kahl Matthias Rottmann UQCV 29 24 0 04 Oct 2020
Neural Bootstrapper Minsuk Shin Hyungjoon Cho Hyun-Seok Min Sungbin Lim UQCV BDL 22 7 0 02 Oct 2020
GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing Tao Yu Chien-Sheng Wu Xi Lin Bailin Wang Y. Tan Xinyi Yang Dragomir R. Radev R. Socher Caiming Xiong LMTD 40 248 0 29 Sep 2020
Into the Unknown: Active Monitoring of Neural Networks Anna Lukina Christian Schilling T. Henzinger AAML 32 27 0 14 Sep 2020
On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning Eoin M. Kenny Mark T. Keane 28 99 0 10 Sep 2020
TRIER: Template-Guided Neural Networks for Robust and Interpretable Sleep Stage Identification from EEG Recordings Taeheon Lee Jeonghwan Hwang Honggu Lee 35 7 0 10 Sep 2020
Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings John Mitros A. Pakrashi Brian Mac Namee UQCV 26 2 0 03 Sep 2020
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning Martin Mundt Yongjun Hong Iuliia Pliushch Visvanathan Ramesh CLL 30 146 0 03 Sep 2020
On the Structures of Representation for the Robustness of Semantic Segmentation to Input Corruption Charles Lehman Dogancan Temel Ghassan AlRegib 23 4 0 02 Sep 2020
Open-set Adversarial Defense Rui Shao Pramuditha Perera Pong C. Yuen Vishal M. Patel AAML 28 30 0 02 Sep 2020
Anomaly Detection by Recombining Gated Unsupervised Experts Jan-Philipp Schulze Philip Sperl Konstantin Böttinger 31 1 0 31 Aug 2020
Learning Adaptive Embedding Considering Incremental Class Yang Yang Zhensheng Sun HengShu Zhu Yanjie Fu Hui Xiong Jian Yang CLL 24 40 0 31 Aug 2020
Aligning AI With Shared Human Values Dan Hendrycks Collin Burns Steven Basart Andrew Critch Jingkai Li D. Song Jacob Steinhardt 63 522 0 05 Aug 2020
Toward Reliable Models for Authenticating Multimedia Content: Detecting Resampling Artifacts With Bayesian Neural Networks Anatol Maier Benedikt Lorch Christian Riess AAML 38 17 0 28 Jul 2020
An Uncertainty-aware Transfer Learning-based Framework for Covid-19 Diagnosis Afshar Shamsi Hamzeh Asgharnezhad Shirin Shamsi Jokandan Abbas Khosravi P. Kebria D. Nahavandi S. Nahavandi D. Srinivasan OOD 22 133 0 26 Jul 2020
On the Effectiveness of Image Rotation for Open Set Domain Adaptation S. Bucci Mohammad Reza Loghmani Tatiana Tommasi 63 142 0 24 Jul 2020
Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning Qing Yu Daiki Ikami Go Irie Kiyoharu Aizawa 23 128 0 22 Jul 2020
Unsupervised Domain Adaptation in the Absence of Source Data Roshni Sahoo Divya Shanmugam John Guttag OOD 22 18 0 20 Jul 2020
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances Jihoon Tack Sangwoo Mo Jongheon Jeong Jinwoo Shin OODD 11 589 0 16 Jul 2020
Detecting Out-of-distribution Samples via Variational Auto-encoder with Reliable Uncertainty Estimation Xuming Ran Mingkun Xu Lingrui Mei Qi Xu Quanying Liu OODD UQCV 42 51 0 16 Jul 2020
Improving Face Recognition by Clustering Unlabeled Faces in the Wild Aruni RoyChowdhury Xiang Yu Kihyuk Sohn Erik Learned-Miller Manmohan Chandraker CVBM 25 19 0 14 Jul 2020
Contrastive Training for Improved Out-of-Distribution Detection Jim Winkens Rudy Bunel Abhijit Guha Roy Robert Stanforth Vivek Natarajan ... Alan Karthikesalingam Simon A. A. Kohl taylan. cemgil S. M. Ali Eslami Olaf Ronneberger OODD 19 236 0 10 Jul 2020
URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks Meet P. Vadera Adam D. Cobb B. Jalaeian Benjamin M. Marlin BDL UQCV 27 16 0 08 Jul 2020
A Critical Evaluation of Open-World Machine Learning Liwei Song Vikash Sehwag A. Bhagoji Prateek Mittal AAML 24 8 0 08 Jul 2020
A Benchmark of Medical Out of Distribution Detection Tianshi Cao Chinwei Huang D. Y. Hui Joseph Paul Cohen OOD 32 58 0 08 Jul 2020
Efficient Learning of Generative Models via Finite-Difference Score Matching Tianyu Pang Kun Xu Chongxuan Li Yang Song Stefano Ermon Jun Zhu DiffM 31 53 0 07 Jul 2020
Confidence-Aware Learning for Deep Neural Networks J. Moon Jihyo Kim Younghak Shin Sangheum Hwang UQCV 28 144 0 03 Jul 2020
Drug discovery with explainable artificial intelligence José Jiménez-Luna F. Grisoni G. Schneider 30 627 0 01 Jul 2020