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
When to retrain a machine learning model Regol Florence Schwinn Leo Sprague Kyle Coates Mark Markovich Thomas OffRL 17 0 0 20 May 2025
LoD: Loss-difference OOD Detection by Intentionally Label-Noisifying Unlabeled Wild Data Chuanxing Geng Qifei Li Xinrui Wang Dong Liang Songcan Chen Pong C. Yuen 27 0 0 19 May 2025
HybridServe: Efficient Serving of Large AI Models with Confidence-Based Cascade Routing Leyang Xue Yao Fu Luo Mai Mahesh K. Marina 27 0 0 18 May 2025
Unsupervised Detection of Distribution Shift in Inverse Problems using Diffusion Models Shirin Shoushtari Edward P. Chandler M. Salman Asif Ulugbek S. Kamilov DiffM 30 0 0 16 May 2025
On the Learning with Augmented Class via Forests Fan Xu Wuyang Chen Wei Gao 34 0 0 14 May 2025
Performance Estimation in Binary Classification Using Calibrated Confidence Juhani Kivimäki Jakub Białek W. Kuberski J. Nurminen 55 0 0 08 May 2025
Graph Synthetic Out-of-Distribution Exposure with Large Language Models Haoyan Xu Zhengtao Yao Ziyi Wang Zhan Cheng Xiyang Hu Mengyuan Li Yue Zhao OODD 55 1 0 29 Apr 2025
Open-set Anomaly Segmentation in Complex Scenarios Song Xia Yi Yu Henghui Ding Wenhan Yang Shixuan Liu Alex C. Kot Xudong Jiang DiffM 57 0 0 28 Apr 2025
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review Toghrul Abbasli Kentaroh Toyoda Yuan Wang Leon Witt Muhammad Asif Ali Yukai Miao Dan Li Qingsong Wei UQCV 94 0 0 25 Apr 2025
Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection Brian K. S. Isaac-Medina T. Breckon OODD 249 0 0 25 Apr 2025
Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Lars Ullrich Zurab Mujirishvili Knut Graichen 63 0 0 25 Apr 2025
Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts M. Zarlenga Gabriele Dominici Pietro Barbiero Z. Shams M. Jamnik KELM 269 0 0 24 Apr 2025
Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs Shenzhi Yang Bin Liang An Liu Lin Gui Xingkai Yao Xiaofang Zhang OODD 80 4 0 18 Apr 2025
Monitor and Recover: A Paradigm for Future Research on Distribution Shift in Learning-Enabled Cyber-Physical Systems Vivian Lin Insup Lee 35 0 0 18 Apr 2025
The Others: Naturally Isolating Out-of-Distribution Samples for Robust Open-Set Semi-Supervised Learning You Rim Choi Subeom Park Seojun Heo Eunchung Noh Hyung-Sin Kim OODD 54 0 0 17 Apr 2025
Are We Done with Object-Centric Learning? Alexander Rubinstein Ameya Prabhu Matthias Bethge Seong Joon Oh OCL 742 0 0 09 Apr 2025
JailDAM: Jailbreak Detection with Adaptive Memory for Vision-Language Model Yi Nian Shenzhe Zhu Yuehan Qin Li Li Ziyi Wang Chaowei Xiao Yue Zhao 35 0 0 03 Apr 2025
ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery Shijie Ma Fei Zhu Xu-Yao Zhang Cheng-Lin Liu 45 1 0 02 Apr 2025
VisTa: Visual-contextual and Text-augmented Zero-shot Object-level OOD Detection Bin Zhang Xiaoyang Qu Guokuan Li Jiguang Wan Jianzong Wang VLM 59 0 0 28 Mar 2025
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors Yu Wang Junxian Mu Hongzhi Huang Qilong Wang Pengfei Zhu Q. Hu 60 0 0 22 Mar 2025
H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection Yuhang Liu Wenjie Zhao Yunhui Guo OODD 79 0 0 19 Mar 2025
Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection Yue Hou He Zhu Ruomei Liu Yingke Su Jinxiang Xia Junran Wu Ke Xu OODD 116 0 0 13 Mar 2025
Probing Network Decisions: Capturing Uncertainties and Unveiling Vulnerabilities Without Label Information Youngju Joung Sehyun Lee Jaesik Choi AAML 53 1 0 12 Mar 2025
SphOR: A Representation Learning Perspective on Open-set Recognition for Identifying Unknown Classes in Deep Learning Models Nadarasar Bahavan Sachith Seneviratne Saman K. Halgamuge BDL 50 0 0 11 Mar 2025
OT-DETECTOR: Delving into Optimal Transport for Zero-shot Out-of-Distribution Detection Yu Liu Hao Tang Haiqi Zhang Jing Qin Zechao Li OODD 69 0 0 09 Mar 2025
Secure On-Device Video OOD Detection Without Backpropagation Li Li Peilin Cai Yuxiao Zhou Zhiyu Ni Renjie Liang You Qin Yi Nian Zhuowen Tu Xiyang Hu Yue Zhao OODD FedML 71 2 0 08 Mar 2025
Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art Youssef Shoeb Azarm Nowzad Hanno Gottschalk UQCV 90 2 0 04 Mar 2025
CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature Leveraging Zhiwei Ling Yachen Chang Hailiang Zhao Xinkui Zhao Kingsum Chow Shuiguang Deng OODD 70 0 0 01 Mar 2025
HALO: Robust Out-of-Distribution Detection via Joint Optimisation Hugo Lyons Keenan S. Erfani Christopher Leckie OODD 214 0 0 27 Feb 2025
Shh, don't say that! Domain Certification in LLMs Cornelius Emde Alasdair Paren Preetham Arvind Maxime Kayser Tom Rainforth Thomas Lukasiewicz Guohao Li Philip Torr Adel Bibi 66 1 0 26 Feb 2025
FilterRAG: Zero-Shot Informed Retrieval-Augmented Generation to Mitigate Hallucinations in VQA S M Sarwar 82 1 0 25 Feb 2025
Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs Yuhan Chen Yihong Luo Yifan Song Pengwen Dai Jing Tang Xiaochun Cao OODD 53 2 0 25 Feb 2025
A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1 Giulia Di Teodoro F. Siciliano V. Guarrasi A. Vandamme Valeria Ghisetti Anders Sönnerborg Maurizio Zazzi Fabrizio Silvestri L. Palagi 77 8 0 24 Feb 2025
Logit Disagreement: OoD Detection with Bayesian Neural Networks Kevin Raina UQCV BDL UD PER 71 0 0 24 Feb 2025
On the Privacy Risks of Spiking Neural Networks: A Membership Inference Analysis Junyi Guan Abhijith Sharma Chong Tian Salem Lahlou AAML 54 1 0 18 Feb 2025
Benchmarking Predictive Coding Networks -- Made Simple Luca Pinchetti Chang Qi Oleh Lokshyn Gaspard Olivers Cornelius Emde ... Simon Frieder Bayar I. Menzat Rafal Bogacz Thomas Lukasiewicz Tommaso Salvatori 132 5 0 17 Feb 2025
Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey Ruiyao Xu Kaize Ding 68 5 0 17 Feb 2025
Representation Learning on Out of Distribution in Tabular Data Achmad Ginanjar Xue Li Priyanka Singh Wen Hua LMTD 245 0 0 14 Feb 2025
Cost-Saving LLM Cascades with Early Abstention Michael J. Zellinger Rex Liu Matt Thomson 113 0 0 13 Feb 2025
Beyond Confidence: Adaptive Abstention in Dual-Threshold Conformal Prediction for Autonomous System Perception Divake Kumar Nastaran Darabi Sina Tayebati A. R. Trivedi 76 0 0 11 Feb 2025
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation Danny Wang Ruihong Qiu Guangdong Bai Zi Huang 203 2 0 09 Feb 2025
Interpretable Failure Detection with Human-Level Concepts Kien X. Nguyen Tang Li Xi Peng 53 0 0 07 Feb 2025
Out-of-Distribution Detection using Synthetic Data Generation Momin Abbas Muneeza Azmat R. Horesh Mikhail Yurochkin 49 1 0 05 Feb 2025
The Cake that is Intelligence and Who Gets to Bake it: An AI Analogy and its Implications for Participation Martin Mundt Anaelia Ovalle Felix Friedrich A Pranav Subarnaduti Paul Manuel Brack Kristian Kersting William Agnew 377 0 0 05 Feb 2025
Self-supervised Benchmark Lottery on ImageNet: Do Marginal Improvements Translate to Improvements on Similar Datasets? Utku Ozbulak Esla Timothy Anzaku Solha Kang W. D. Neve J. Vankerschaver 59 0 0 28 Jan 2025
Making Reliable and Flexible Decisions in Long-tailed Classification Bolian Li Ruqi Zhang 257 0 0 23 Jan 2025
Topology of Out-of-Distribution Examples in Deep Neural Networks Esha Datta Johanna Hennig Eva Domschot Connor Mattes Michael R. Smith 72 0 0 21 Jan 2025
YouLeQD: Decoding the Cognitive Complexity of Questions and Engagement in Online Educational Videos from Learners' Perspectives Nong Ming Sachin Sharma Jiho Noh AI4Ed 49 0 0 20 Jan 2025
SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Shu Zou Xinyu Tian Qinyu Zhao Zhaoyuan Yang Jing Zhang VLM 39 0 0 20 Jan 2025
Provably Safeguarding a Classifier from OOD and Adversarial Samples: an Extreme Value Theory Approach Nicolas Atienza Christophe Labreuche Johanne Cohen Michele Sebag OODD AAML 247 0 0 20 Jan 2025