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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READ: Aggregating Reconstruction Error into Out-of-distribution Detection Wenyu Jiang Yuxin Ge Hao Cheng Mingcai Chen Shuai Feng Chongjun Wang OODD 29 11 0 15 Jun 2022
CodeS: Towards Code Model Generalization Under Distribution Shift Qiang Hu Yuejun Guo Xiaofei Xie Maxime Cordy Lei Ma Mike Papadakis Yves Le Traon OOD 39 10 0 11 Jun 2022
Annotation Error Detection: Analyzing the Past and Present for a More Coherent Future Jan-Christoph Klie Bonnie Webber Iryna Gurevych 42 43 0 05 Jun 2022
Which models are innately best at uncertainty estimation? Ido Galil Mohammed Dabbah Ran El-Yaniv UQCV 34 5 0 05 Jun 2022
Innovations in Integrating Machine Learning and Agent-Based Modeling of Biomedical Systems N. Sivakumar C. Mura S. Peirce AI4CE 50 21 0 02 Jun 2022
LiDAR-MIMO: Efficient Uncertainty Estimation for LiDAR-based 3D Object Detection Matthew A. Pitropov Chengjie Huang Vahdat Abdelzad Krzysztof Czarnecki Steven Waslander 3DPC 27 3 0 01 Jun 2022
Uncertainty Quantification and Resource-Demanding Computer Vision Applications of Deep Learning Julian Burghoff Robin Shing Moon Chan Hanno Gottschalk Annika Muetze Tobias Riedlinger Matthias Rottmann Marius Schubert BDL 34 0 0 30 May 2022
Detecting Label Errors by using Pre-Trained Language Models Derek Chong Jenny Hong Christopher D. Manning NoLa 66 21 0 25 May 2022
ReSmooth: Detecting and Utilizing OOD Samples when Training with Data Augmentation Chenyang Wang Junjun Jiang Xiong Zhou Xianming Liu 47 3 0 25 May 2022
How Useful are Gradients for OOD Detection Really? Conor Igoe Youngseog Chung I. Char J. Schneider OODD 47 23 0 20 May 2022
Mitigating Neural Network Overconfidence with Logit Normalization Hongxin Wei Renchunzi Xie Hao-Ran Cheng Lei Feng Bo An Yixuan Li OODD 163 268 0 19 May 2022
Prioritizing Corners in OoD Detectors via Symbolic String Manipulation Chih-Hong Cheng Changshun Wu Emmanouil Seferis Saddek Bensalem 31 3 0 16 May 2022
Robust Representation via Dynamic Feature Aggregation Haozhe Liu Haoqin Ji Yuexiang Li Nanjun He Haoqian Wu Feng Liu Linlin Shen Yefeng Zheng AAML OOD 40 3 0 16 May 2022
Learn2Weight: Parameter Adaptation against Similar-domain Adversarial Attacks Siddhartha Datta AAML 41 4 0 15 May 2022
Evaluating Uncertainty Calibration for Open-Set Recognition Zongyao Lyu Nolan B. Gutierrez William J. Beksi UQCV 35 1 0 15 May 2022
Distinction Maximization Loss: Efficiently Improving Out-of-Distribution Detection and Uncertainty Estimation by Replacing the Loss and Calibrating David Macêdo Cleber Zanchettin Teresa B Ludermir UQCV 36 4 0 12 May 2022
Norm-Scaling for Out-of-Distribution Detection Deepak Ravikumar Kaushik Roy OODD UQCV 24 2 0 06 May 2022
Simple Techniques Work Surprisingly Well for Neural Network Test Prioritization and Active Learning (Replicability Study) Michael Weiss Paolo Tonella AAML 23 50 0 02 May 2022
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness J. Liu Shreyas Padhy Jie Jessie Ren Zi Lin Yeming Wen Ghassen Jerfel Zachary Nado Jasper Snoek Dustin Tran Balaji Lakshminarayanan UQCV BDL 33 48 0 01 May 2022
Sardino: Ultra-Fast Dynamic Ensemble for Secure Visual Sensing at Mobile Edge Qun Song Zhenyu Yan W. Luo Rui Tan AAML 31 2 0 18 Apr 2022
Learning to Classify Open Intent via Soft Labeling and Manifold Mixup Zifeng Cheng Zhiwei Jiang Yafeng Yin Cong Wang Qing Gu VLM 24 13 0 16 Apr 2022
Out-of-Distribution Detection with Deep Nearest Neighbors Yiyou Sun Yifei Ming Xiaojin Zhu Yixuan Li OODD 19 494 0 13 Apr 2022
Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback Yuntao Bai Andy Jones Kamal Ndousse Amanda Askell Anna Chen ... Jack Clark Sam McCandlish C. Olah Benjamin Mann Jared Kaplan 115 2,369 0 12 Apr 2022
Self-Supervised Losses for One-Class Textual Anomaly Detection Kimberly T. Mai Toby O. Davies Lewis D. Griffin 20 7 0 12 Apr 2022
Redwood: Using Collision Detection to Grow a Large-Scale Intent Classification Dataset Stefan Larson Kevin Leach 32 9 0 12 Apr 2022
Full-Spectrum Out-of-Distribution Detection Jingkang Yang Kaiyang Zhou Ziwei Liu OODD 45 57 0 11 Apr 2022
Effective Out-of-Distribution Detection in Classifier Based on PEDCC-Loss Qiuyu Zhu Guohui Zheng Yingying Yan OODD 22 8 0 10 Apr 2022
Understanding, Detecting, and Separating Out-of-Distribution Samples and Adversarial Samples in Text Classification Cheng-Han Chiang Hung-yi Lee OODD 28 1 0 09 Apr 2022
RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection Umar Khalid Ashkan Esmaeili Nazmul Karim Nazanin Rahnavard OODD 47 12 0 06 Apr 2022
Learning to Adapt to Domain Shifts with Few-shot Samples in Anomalous Sound Detection Bingqing Chen Luca Bondi Samarjit Das 76 7 0 05 Apr 2022
FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation Sohyun Lee Taeyoung Son Suha Kwak 53 72 0 04 Apr 2022
Efficient, Uncertainty-based Moderation of Neural Networks Text Classifiers J. S. Andersen W. Maalej 22 9 0 04 Apr 2022
Expanding Low-Density Latent Regions for Open-Set Object Detection Jiaming Han Yuqiang Ren Jian Ding Xingjia Pan Ke Yan Guisong Xia ObjD 40 59 0 28 Mar 2022
Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection Choubo Ding Guansong Pang Chunhua Shen OOD 29 112 0 28 Mar 2022
A Survey of Robust Adversarial Training in Pattern Recognition: Fundamental, Theory, and Methodologies Zhuang Qian Kaizhu Huang Qiufeng Wang Xu-Yao Zhang OOD AAML ObjD 54 72 0 26 Mar 2022
A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration R. Hebbalaguppe Jatin Prakash Neelabh Madan Chetan Arora UQCV 25 44 0 25 Mar 2022
GOSS: Towards Generalized Open-set Semantic Segmentation Jie Hong Weihong Li Junlin Han Jiyang Zheng Pengfei Fang Mehrtash Harandi L. Petersson VLM 32 19 0 23 Mar 2022
Learning Confidence for Transformer-based Neural Machine Translation Yu Lu Jiali Zeng Jiajun Zhang Shuangzhi Wu Mu Li 49 9 0 22 Mar 2022
Towards Textual Out-of-Domain Detection without In-Domain Labels Di Jin Shuyang Gao Seokhwan Kim Yang Liu Dilek Z. Hakkani-Tür 18 20 0 22 Mar 2022
ViM: Out-Of-Distribution with Virtual-logit Matching Haoqi Wang Zhizhong Li Xue Jiang Wayne Zhang OODD 26 317 0 21 Mar 2022
Contrastive Learning for Cross-Domain Open World Recognition Francesco Cappio Borlino S. Bucci Tatiana Tommasi SSL 37 3 0 17 Mar 2022
Reasoning over Public and Private Data in Retrieval-Based Systems Simran Arora Patrick Lewis Angela Fan Jacob Kahn Christopher Ré 33 23 0 14 Mar 2022
How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection? Yifei Ming Yiyou Sun Ousmane Amadou Dia Yixuan Li OODD 26 96 0 08 Mar 2022
Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild Xuefeng Du Xin Eric Wang Gabriel Gozum Yixuan Li OODD 45 91 0 08 Mar 2022
GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation Minkai Xu Lantao Yu Yang Song Chence Shi Stefano Ermon Jian Tang BDL DiffM 74 497 0 06 Mar 2022
MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks Gianni Franchi Xuanlong Yu Andrei Bursuc Ángel Tena Rémi Kazmierczak Séverine Dubuisson Emanuel Aldea David Filliat UQCV 36 28 0 02 Mar 2022
Detecting Adversarial Perturbations in Multi-Task Perception Marvin Klingner V. Kumar S. Yogamani Andreas Bär Tim Fingscheidt AAML 39 15 0 02 Mar 2022
Addressing Randomness in Evaluation Protocols for Out-of-Distribution Detection Konstantin Kirchheim Tim Gonschorek F. Ortmeier OODD 36 2 0 01 Mar 2022
Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings Neeraj Varshney Swaroop Mishra Chitta Baral 29 55 0 01 Mar 2022
Layer Adaptive Deep Neural Networks for Out-of-distribution Detection Haoliang Wang Chengli Zhao Xujiang Zhao Feng Chen OODD 29 7 0 01 Mar 2022