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
Confidence Estimation for Error Detection in Text-to-SQL Systems Oleg Somov Elena Tutubalina 53 1 0 17 Jan 2025
Challenging reaction prediction models to generalize to novel chemistry John Bradshaw Anji Zhang Babak Mahjour David E. Graff Marwin H. S. Segler Connor W. Coley 47 1 0 11 Jan 2025
On the Adversarial Robustness of Benjamini Hochberg Louis L Chen Roberto Szechtman Matan Seri AAML 36 0 0 08 Jan 2025
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes Yuanpeng Tu Yuxi Li Boshen Zhang Liang Liu Jingyang Zhang Yuran Wang C. Zhao 66 3 0 03 Jan 2025
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference Jiayi Huang Sangwoo Park Osvaldo Simeone 108 2 0 03 Jan 2025
Familiarity-Based Open-Set Recognition Under Adversarial Attacks Philip Enevoldsen Christian Gundersen Nico Lang Serge Belongie Christian Igel 72 1 0 03 Jan 2025
Dynamic Attention-Guided Context Decoding for Mitigating Context Faithfulness Hallucinations in Large Language Models Yanwen Huang Yong Zhang Ning Cheng Zhitao Li Shaojun Wang Jing Xiao 91 0 0 02 Jan 2025
M-Tuning: Prompt Tuning with Mitigated Label Bias in Open-Set Scenarios Ning Liao Xiaopeng Zhang Minglu Cao Junchi Yan VPVLM VLM 74 0 0 31 Dec 2024
Pretraining with random noise for uncertainty calibration Jeonghwan Cheon Se-Bum Paik OnRL 53 0 0 23 Dec 2024
Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation Burak Ekim G. Tadesse Caleb Robinson G. Q. Hacheme Michael Schmitt Rahul Dodhia J. L. Ferres OODD 111 1 0 18 Dec 2024
Your Data Is Not Perfect: Towards Cross-Domain Out-of-Distribution Detection in Class-Imbalanced Data Xiang Fang Arvind Easwaran B. Genest Ponnuthurai Nagaratnam Suganthan 96 14 0 09 Dec 2024
Going Beyond Conventional OOD Detection Sudarshan Regmi OODD 72 1 0 16 Nov 2024
Deep Active Learning in the Open World Tian Xie Jifan Zhang Haoyue Bai R. Nowak VLM 232 1 0 10 Nov 2024
On the Inherent Robustness of One-Stage Object Detection against Out-of-Distribution Data Aitor Martinez-Seras Javier Del Ser Alain Andres Pablo García Bringas Pablo Garcia-Bringas OODD 45 0 0 07 Nov 2024
Confidence Calibration of Classifiers with Many Classes Adrien LeCoz Stéphane Herbin Faouzi Adjed UQCV 44 1 0 05 Nov 2024
DSDE: Using Proportion Estimation to Improve Model Selection for Out-of-Distribution Detection Jingyao Geng Yuan Zhang Jiaqi Huang Feng Xue Falong Tan Chuanlong Xie Shumei Zhang OODD 48 0 0 03 Nov 2024
Legitimate ground-truth-free metrics for deep uncertainty classification scoring Arthur Pignet Chiara Regniez John Klein 72 1 0 30 Oct 2024
PViT: Prior-augmented Vision Transformer for Out-of-distribution Detection Tianhao Zhang Zhixiang Chen Lyudmila Mihaylova 185 0 0 27 Oct 2024
LEGO-Learn: Label-Efficient Graph Open-Set Learning Haoyan Xu Kay Liu Zhengtao Yao Philip S. Yu Mengyuan Li Yue Zhao Yue Zhao OODD 68 6 0 21 Oct 2024
A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators Han Zhou Jordy Van Landeghem Teodora Popordanoska Matthew B. Blaschko 46 0 0 20 Oct 2024
Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation Seulbi Lee J. Kim Sangheum Hwang LRM 232 0 0 19 Oct 2024
Taming Overconfidence in LLMs: Reward Calibration in RLHF Jixuan Leng Chengsong Huang Banghua Zhu Jiaxin Huang 39 9 0 13 Oct 2024
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models Mengyuan Chen Junyu Gao Changsheng Xu VLM OODD 35 1 0 11 Oct 2024
Happy: A Debiased Learning Framework for Continual Generalized Category Discovery Shijie Ma Fei Zhu Zhun Zhong Wenzhuo Liu Xu-Yao Zhang Cheng-Lin Liu CLL 49 6 0 09 Oct 2024
Multi-Robot Motion Planning with Diffusion Models Yorai Shaoul Itamar Mishani Shivam Vats Jiaoyang Li Maxim Likhachev DiffM 53 6 0 04 Oct 2024
Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors Shuangpeng Han Mengmi Zhang 205 0 0 03 Oct 2024
MONICA: Benchmarking on Long-tailed Medical Image Classification Lie Ju Siyuan Yan Yukun Zhou Yang Nan Xiaodan Xing Peibo Duan Zongyuan Ge 69 0 0 02 Oct 2024
Building Real-time Awareness of Out-of-distribution in Trajectory Prediction for Autonomous Vehicles Tongfei Guo Rui Liu Lili Su 45 1 0 25 Sep 2024
Uncertainty-Guided Appearance-Motion Association Network for Out-of-Distribution Action Detection Xiang Fang Arvind Easwaran B. Genest 38 4 0 16 Sep 2024
Can OOD Object Detectors Learn from Foundation Models? Jiahui Liu Xin Wen Shizhen Zhao Y. Chen Xiaojuan Qi OODD 48 2 0 08 Sep 2024
LoGex: Improved tail detection of extremely rare histopathology classes via guided diffusion Maximilian Mueller Matthias Hein MedIm 45 0 0 02 Sep 2024
Logit Scaling for Out-of-Distribution Detection Andrija Djurisic Rosanne Liu Mladen Nikolic OODD 53 1 0 02 Sep 2024
FungiTastic: A multi-modal dataset and benchmark for image categorization Lukás Picek Klara Janouskova Milan Šulc Jirí Matas 80 1 0 24 Aug 2024
A3Rank: Augmentation Alignment Analysis for Prioritizing Overconfident Failing Samples for Deep Learning Models Zhengyuan Wei Haipeng Wang Qili Zhou William Chan 34 0 0 19 Jul 2024
ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection Erik Wallin Lennart Svensson Fredrik Kahl Lars Hammarstrand OODD 47 1 0 16 Jul 2024
Introducing Ínside' Out of Distribution Teddy Lazebnik 36 1 0 05 Jul 2024
Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila 52 1 0 04 Jul 2024
GalLoP: Learning Global and Local Prompts for Vision-Language Models Marc Lafon Elias Ramzi Clément Rambour Nicolas Audebert Nicolas Thome VLM 50 8 0 01 Jul 2024
Odd-One-Out: Anomaly Detection by Comparing with Neighbors A. Bhunia Changjian Li Hakan Bilen 75 0 0 28 Jun 2024
Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers Jonas Ngnawé Sabyasachi Sahoo Y. Pequignot Frédéric Precioso Christian Gagné AAML 47 0 0 26 Jun 2024
Cascade Reward Sampling for Efficient Decoding-Time Alignment Bolian Li Yifan Wang A. Grama Ruqi Zhang Ruqi Zhang AI4TS 51 9 0 24 Jun 2024
Learning Run-time Safety Monitors for Machine Learning Components Ozan Vardal Richard Hawkins Colin Paterson Chiara Picardi Daniel Omeiza Lars Kunze Ibrahim Habli 40 0 0 23 Jun 2024
Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection Eduardo Dadalto F. Alberge Pierre Duhamel Pablo Piantanida OODD 62 0 0 23 Jun 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors Peter Lorenz Mario Fernandez Jens Müller Ullrich Kothe AAML 78 1 0 21 Jun 2024
What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions? Weijie Tu Weijian Deng Liang Zheng Tom Gedeon 44 0 0 14 Jun 2024
WildlifeReID-10k: Wildlife re-identification dataset with 10k individual animals L. Adam Vojtěch Čermák Kostas Papafitsoros Lukás Picek 45 2 0 13 Jun 2024
Flexible Heteroscedastic Count Regression with Deep Double Poisson Networks Spencer Young Porter Jenkins Lonchao Da Jeff Dotson Hua Wei UQCV BDL 49 2 0 13 Jun 2024
UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous Driving Daniel Bogdoll Noël Ollick Tim Joseph J. Marius Zöllner 42 1 0 10 Jun 2024
Predictive Dynamic Fusion Bing Cao Yinan Xia Yi Ding Changqing Zhang Qinghua Hu 39 9 0 07 Jun 2024
Cycles of Thought: Measuring LLM Confidence through Stable Explanations Evan Becker Stefano Soatto 63 6 0 05 Jun 2024