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
Beyond In-Domain Scenarios: Robust Density-Aware Calibration Christian Tomani Futa Waseda Yuesong Shen Daniel Cremers UQCV 39 4 0 10 Feb 2023
The Devil is in the Wrongly-classified Samples: Towards Unified Open-set Recognition Jun Cen Di Luan Shiwei Zhang Yixuan Pei Yingya Zhang Deli Zhao Shaojie Shen Qifeng Chen 13 19 0 08 Feb 2023
Benchmarking Probabilistic Deep Learning Methods for License Plate Recognition Franziska Schirrmacher Benedikt Lorch Anatol Maier Christian Riess UQCV 30 4 0 02 Feb 2023
Misspecification-robust Sequential Neural Likelihood for Simulation-based Inference Ryan P. Kelly David J. Nott David T. Frazier D. Warne Christopher C. Drovandi 38 10 0 31 Jan 2023
Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning Hyunsoo Cho Choonghyun Park Junyeop Kim Sungmin Cho Kang Min Yoo Sang-goo Lee OODD 35 3 0 27 Jan 2023
Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks Louis Bethune Paul Novello Thibaut Boissin Guillaume Coiffier M. Serrurier Quentin Vincenot Andres Troya-Galvis 39 8 0 26 Jan 2023
A Data-Centric Approach for Improving Adversarial Training Through the Lens of Out-of-Distribution Detection Mohammad Azizmalayeri Arman Zarei Alireza Isavand M. T. Manzuri M. Rohban OODD 42 0 0 25 Jan 2023
Improving Open-Set Semi-Supervised Learning with Self-Supervision Erik Wallin Lennart Svensson Fredrik Kahl Lars Hammarstrand 39 7 0 24 Jan 2023
A Multi-Scale Framework for Out-of-Distribution Detection in Dermoscopic Images Zhongzheng Huang Tao Wang Yuanzheng Cai Lingyu Liang 27 0 0 18 Jan 2023
Free Lunch for Generating Effective Outlier Supervision Sen Pei Jiaxi Sun R. Xu Bin Fan Shiming Xiang Gaofeng Meng OODD 44 0 0 17 Jan 2023
Distinguish Sense from Nonsense: Out-of-Scope Detection for Virtual Assistants Cheng Qian Haode Qi Gengyu Wang L. Kunc Saloni Potdar 33 4 0 16 Jan 2023
Failure Detection for Motion Prediction of Autonomous Driving: An Uncertainty Perspective Wenbo Shao Yan Xu Liang Peng Jun Li Hong Wang 37 15 0 11 Jan 2023
ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models Dongha Kim Jaesung Hwang Jongjin Lee Kunwoong Kim Yongdai Kim OODD 33 1 0 11 Jan 2023
Do Bayesian Variational Autoencoders Know What They Don't Know? Misha Glazunov Apostolis Zarras UQCV BDL 28 5 0 29 Dec 2022
Annealing Double-Head: An Architecture for Online Calibration of Deep Neural Networks Erdong Guo D. Draper Maria de Iorio 44 0 0 27 Dec 2022
EndoBoost: a plug-and-play module for false positive suppression during computer-aided polyp detection in real-world colonoscopy (with dataset) Haoran Wang Yan Zhu W. Qin Yizhe Zhang Pinghong Zhou Quanlin Li Shuo Wang Zhijian Song 34 2 0 23 Dec 2022
Fast Entropy-Based Methods of Word-Level Confidence Estimation for End-To-End Automatic Speech Recognition A. Laptev Boris Ginsburg 46 7 0 16 Dec 2022
An Upper Bound for the Distribution Overlap Index and Its Applications Hao Xu Prashanth Krishnamurthy S. Garg Farshad Khorrami VLM 24 0 0 16 Dec 2022
Solving Sample-Level Out-of-Distribution Detection on 3D Medical Images Daria Frolova A. Vasiliuk Mikhail Belyaev B. Shirokikh OOD 34 1 0 13 Dec 2022
MixBoost: Improving the Robustness of Deep Neural Networks by Boosting Data Augmentation Zhendong Liu Wenyu Jiang Min Guo Chongjun Wang AAML 25 1 0 08 Dec 2022
Intent Recognition in Conversational Recommender Systems Sahar Moradizeyveh 50 5 0 06 Dec 2022
Block Selection Method for Using Feature Norm in Out-of-distribution Detection Yeonguk Yu Sungho Shin Seongju Lee C. Jun Kyoobin Lee OODD 27 31 0 05 Dec 2022
PointCaM: Cut-and-Mix for Open-Set Point Cloud Learning Jie Hong Shi Qiu Weihong Li Saeed Anwar Mehrtash Harandi Nick Barnes L. Petersson 3DPC 44 6 0 05 Dec 2022
Improving Zero-shot Generalization and Robustness of Multi-modal Models Yunhao Ge Jie Jessie Ren Andrew Gallagher Yuxiao Wang Ming-Hsuan Yang Hartwig Adam Laurent Itti Balaji Lakshminarayanan Jiaping Zhao VLM 32 35 0 04 Dec 2022
Rethinking Out-of-Distribution Detection From a Human-Centric Perspective Yao Zhu YueFeng Chen Xiaodan Li Rong Zhang Hui Xue Xiang Tian Rongxin Jiang Bo Zheng Yao-wu Chen OODD 34 7 0 30 Nov 2022
Out-Of-Distribution Detection Is Not All You Need Joris Guérin Kevin Delmas Raul Sena Ferreira Jérémie Guiochet OODD 39 32 0 29 Nov 2022
A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification Paul F. Jaeger Carsten T. Lüth Lukas Klein Till J. Bungert UQCV 30 35 0 28 Nov 2022
Deep Fake Detection, Deterrence and Response: Challenges and Opportunities Amin Azmoodeh Ali Dehghantanha 45 2 0 26 Nov 2022
Supervised Contrastive Prototype Learning: Augmentation Free Robust Neural Network Iordanis Fostiropoulos Laurent Itti 45 1 0 26 Nov 2022
TrustGAN: Training safe and trustworthy deep learning models through generative adversarial networks Hélion Marie du Mas des Bourboux 21 1 0 25 Nov 2022
Beyond Mahalanobis-Based Scores for Textual OOD Detection Pierre Colombo Eduardo Dadalto Camara Gomes Guillaume Staerman Nathan Noiry Pablo Piantanida OODD 56 5 0 24 Nov 2022
Delving into Out-of-Distribution Detection with Vision-Language Representations Yifei Ming Ziyan Cai Jiuxiang Gu Yiyou Sun W. Li Yixuan Li VLM OODD 69 161 0 24 Nov 2022
FRE: A Fast Method For Anomaly Detection And Segmentation I. Ndiour Nilesh A. Ahuja Ergin Utku Genc Omesh Tickoo 50 2 0 23 Nov 2022
Multi-Level Knowledge Distillation for Out-of-Distribution Detection in Text Qianhui Wu Huiqiang Jiang Haonan Yin Börje F. Karlsson Chin-Yew Lin 40 10 0 21 Nov 2022
Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction Masha Itkina Mykel J. Kochenderfer EDL UQCV 31 26 0 16 Nov 2022
Calibrated Interpretation: Confidence Estimation in Semantic Parsing Elias Stengel-Eskin Benjamin Van Durme UQLM 46 24 0 14 Nov 2022
Disentangled Uncertainty and Out of Distribution Detection in Medical Generative Models Kumud Lakara Matias Valdenegro-Toro UQCV OOD 33 1 0 11 Nov 2022
A Benchmark for Out of Distribution Detection in Point Cloud 3D Semantic Segmentation Lokesh Veeramacheneni Matias Valdenegro-Toro 3DPC UQCV 32 2 0 11 Nov 2022
Estimating Soft Labels for Out-of-Domain Intent Detection Hao Lang Yinhe Zheng Jian Sun Feiling Huang Luo Si Yongbin Li 48 15 0 10 Nov 2022
Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation Benjamin Lambert Florence Forbes Senan Doyle A. Tucholka M. Dojat UQCV OOD 64 4 0 10 Nov 2022
IRNet: Iterative Refinement Network for Noisy Partial Label Learning Zheng Lian Ming Xu Lang Chen Guoying Zhao B. Liu Jianhua Tao NoLa 32 4 0 09 Nov 2022
Cold Start Streaming Learning for Deep Networks Cameron R. Wolfe Anastasios Kyrillidis CLL 28 2 0 09 Nov 2022
Contrastive Classification and Representation Learning with Probabilistic Interpretation Rahaf Aljundi Yash J. Patel Milan Šulc Daniel Olmeda N. Chumerin SSL 31 5 0 07 Nov 2022
Interpreting deep learning output for out-of-distribution detection Damian J. Matuszewski I. Sintorn OODD 37 1 0 07 Nov 2022
Calibration Meets Explanation: A Simple and Effective Approach for Model Confidence Estimates Dongfang Li Baotian Hu Qingcai Chen 16 8 0 06 Nov 2022
Improving Semi-supervised Deep Learning by using Automatic Thresholding to Deal with Out of Distribution Data for COVID-19 Detection using Chest X-ray Images Isaac Benavides-Mata Saul Calderon-Ramirez 21 3 0 03 Nov 2022
DetAIL : A Tool to Automatically Detect and Analyze Drift In Language Nishtha Madaan Adithya Manjunatha Hrithik Nambiar Aviral Goel H. Kumar Diptikalyan Saha Srikanta J. Bedathur 22 4 0 03 Nov 2022
On Out-of-Distribution Detection for Audio with Deep Nearest Neighbors Zaharah Bukhsh Aaqib Saeed OODD 45 9 0 27 Oct 2022
Is Out-of-Distribution Detection Learnable? Zhen Fang Yixuan Li Jie Lu Jiahua Dong Bo Han Feng Liu OODD 44 125 0 26 Oct 2022
Progressive Sentiment Analysis for Code-Switched Text Data Sudhanshu Ranjan Dheeraj Mekala Jingbo Shang 34 4 0 25 Oct 2022