Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers

4 September 2018

Apoorv Vyas

Nataraj Jammalamadaka

Papers citing "Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers"

50 / 90 papers shown

Title
Improving Out-of-Distribution Detection via Dynamic Covariance Calibration Kaiyu Guo Zijian Wang Tan Pan Brian C. Lovell Mahsa Baktashmotlagh OODD 85 0 0 11 Jun 2025
Adversarial Training of Reward Models Alexander Bukharin Haifeng Qian Shengyang Sun Adithya Renduchintala Soumye Singhal Ziyi Wang Oleksii Kuchaiev Olivier Delalleau T. Zhao AAML 169 2 0 08 Apr 2025
Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies Chen Xu Tony Nguyen Emma Dixon Christopher Rodriguez Patrick Miller Robert Lee Paarth Shah Rares Andrei Ambrus Haruki Nishimura Masha Itkina OffRL 258 3 0 11 Mar 2025
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation Danny Wang Ruihong Qiu Guangdong Bai Zi Huang 403 4 0 09 Feb 2025
Open-World Panoptic Segmentation Matteo Sodano Federico Magistri Jens Behley Cyrill Stachniss VLM 152 0 0 17 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 168 19 0 09 Dec 2024
Community Forensics: Using Thousands of Generators to Train Fake Image Detectors Jeongsoo Park Andrew Owens 92 5 0 06 Nov 2024
Out-of-Distribution Detection: A Task-Oriented Survey of Recent Advances Shuo Lu YingSheng Wang Lijun Sheng Lingxiao He A. Zheng Jian Liang OODD 179 7 0 18 Sep 2024
Uncertainty-Guided Appearance-Motion Association Network for Out-of-Distribution Action Detection Xiang Fang Arvind Easwaran B. Genest 97 4 0 16 Sep 2024
A Metacognitive Approach to Out-of-Distribution Detection for Segmentation Meghna Gummadi Cassandra Kent Karl Schmeckpeper Eric Eaton UQCV 54 1 0 04 Oct 2023
Reliability Quantification of Deep Reinforcement Learning-based Control Hitoshi Yoshioka Hirotada Hashimoto 53 0 0 29 Sep 2023
Learning on Graphs with Out-of-Distribution Nodes Yunho Song Donglin Wang OODD 71 43 0 13 Aug 2023
A Functional Data Perspective and Baseline On Multi-Layer Out-of-Distribution Detection Eduardo Dadalto Camara Gomes Pierre Colombo Guillaume Staerman Nathan Noiry Pablo Piantanida OODD 388 2 0 06 Jun 2023
Boosting Out-of-Distribution Detection with Multiple Pre-trained Models Feng Xue Zi He Chuanlong Xie Falong Tan Zhenguo Li OODD 120 7 0 24 Dec 2022
Out-of-Distribution Detection with Reconstruction Error and Typicality-based Penalty Genki Osada Tsubasa Takahashi Budrul Ahsan Takashi Nishide OODD 90 14 0 24 Dec 2022
Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction Masha Itkina Mykel J. Kochenderfer EDL UQCV 104 26 0 16 Nov 2022
Improving Adversarial Robustness via Joint Classification and Multiple Explicit Detection Classes Sina Baharlouei Fatemeh Sheikholeslami Meisam Razaviyayn Zico Kolter AAML 85 6 0 26 Oct 2022
Out-of-Distribution Detection for LiDAR-based 3D Object Detection Chengjie Huang Van Duong Nguyen Vahdat Abdelzad Christopher Gus Mannes Luke Rowe Benjamin Therien Rick Salay Krzysztof Czarnecki OODD 3DPC 200 18 0 28 Sep 2022
Oracle Analysis of Representations for Deep Open Set Detection Risheek Garrepalli AAML 113 5 0 22 Sep 2022
Provably Uncertainty-Guided Universal Domain Adaptation Yifan Wang Lin Zhang Ran Song Paul L. Rosin Yibin Li Wei Emma Zhang OOD UQCV 134 0 0 19 Sep 2022
Identifying Out-of-Distribution Samples in Real-Time for Safety-Critical 2D Object Detection with Margin Entropy Loss Yannik Blei Nicolas Jourdan Nils Gählert OODD 53 3 0 01 Sep 2022
Correct-by-Construction Runtime Enforcement in AI -- A Survey Bettina Könighofer Roderick Bloem Rüdiger Ehlers Christian Pek 52 11 0 30 Aug 2022
Probing Contextual Diversity for Dense Out-of-Distribution Detection Silvio Galesso M. A. Bravo Mehdi Naouar Thomas Brox 43 4 0 30 Aug 2022
Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives Xiaofeng Liu Chaehwa Yoo Fangxu Xing Hyejin Oh Xiaofeng Liu Je-Won Kang Jonghye Woo OOD 110 207 0 15 Aug 2022
Curved Geometric Networks for Visual Anomaly Recognition Jie Hong Pengfei Fang Weihao Li Junlin Han L. Petersson Mehrtash Harandi 71 10 0 02 Aug 2022
Class-Specific Semantic Reconstruction for Open Set Recognition Hongzhi Huang Yu Wang Qinghua Hu Mingg-Ming Cheng BDL 91 60 0 05 Jul 2022
Batch-Ensemble Stochastic Neural Networks for Out-of-Distribution Detection Xiongjie Chen Yunpeng Li Yongxin Yang UQCV OODD 90 3 0 26 Jun 2022
Supervision Adaptation Balancing In-distribution Generalization and Out-of-distribution Detection Zhilin Zhao LongBing Cao Kun-Yu Lin 70 6 0 19 Jun 2022
Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline Peng Wu Xiaosong Jia Li Chen Junchi Yan Hongyang Li Yu Qiao 98 203 0 16 Jun 2022
Learn to Adapt: Robust Drift Detection in Security Domain Aditya Kuppa Nhien-An Le-Khac OOD 50 18 0 15 Jun 2022
Post-breach Recovery: Protection against White-box Adversarial Examples for Leaked DNN Models Shawn Shan Wen-Luan Ding Emily Wenger Haitao Zheng Ben Y. Zhao AAML 75 11 0 21 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 91 3 0 16 May 2022
A Survey on Uncertainty Toolkits for Deep Learning Maximilian Pintz Joachim Sicking Maximilian Poretschkin Maram Akila ELM 61 6 0 02 May 2022
Full-Spectrum Out-of-Distribution Detection Jingkang Yang Kaiyang Zhou Ziwei Liu OODD 77 62 0 11 Apr 2022
RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection Umar Khalid Ashkan Esmaeili Nazmul Karim Nazanin Rahnavard OODD 100 14 0 06 Apr 2022
Autoencoder Attractors for Uncertainty Estimation S. Cruz B. Taetz Thomas Stifter D. Stricker UQCV 63 9 0 01 Apr 2022
Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model Yu Du Fangyun Wei Zihe Zhang Miaojing Shi Yue Gao Guoqi Li VPVLM VLM 92 336 0 28 Mar 2022
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection Yingwei Li Adams Wei Yu Tianjian Meng Benjamin Caine Jiquan Ngiam ... Yifeng Lu Denny Zhou Quoc V. Le Alan Yuille Mingxing Tan 3DPC 114 344 0 15 Mar 2022
Igeood: An Information Geometry Approach to Out-of-Distribution Detection Eduardo Dadalto Camara Gomes F. Alberge Pierre Duhamel Pablo Piantanida OODD 178 29 0 15 Mar 2022
Uncertainty Estimation for Language Reward Models Adam Gleave G. Irving UQLM 84 34 0 14 Mar 2022
Layer Adaptive Deep Neural Networks for Out-of-distribution Detection Haoliang Wang Chengli Zhao Xujiang Zhao Feng Chen OODD 53 7 0 01 Mar 2022
Self-Supervised Anomaly Detection by Self-Distillation and Negative Sampling Nima Rafiee Rahil Gholamipoorfard Nikolas Adaloglou Simon Jaxy Julius Ramakers M. Kollmann OODD 29 8 0 17 Jan 2022
Transformaly -- Two (Feature Spaces) Are Better Than One M. Cohen S. Avidan ViT 81 30 0 08 Dec 2021
Learning to Be Cautious Montaser Mohammedalamen Dustin Morrill Alexander Sieusahai Yash Satsangi Michael Bowling 64 3 0 29 Oct 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 307 946 0 21 Oct 2021
Poison Forensics: Traceback of Data Poisoning Attacks in Neural Networks Shawn Shan A. Bhagoji Haitao Zheng Ben Y. Zhao AAML 165 51 0 13 Oct 2021
SoK: Machine Learning Governance Varun Chandrasekaran Hengrui Jia Anvith Thudi Adelin Travers Mohammad Yaghini Nicolas Papernot 137 16 0 20 Sep 2021
GOLD: Improving Out-of-Scope Detection in Dialogues using Data Augmentation Derek Chen Zhou Yu 73 31 0 07 Sep 2021
Semantically Coherent Out-of-Distribution Detection Jingkang Yang Haoqi Wang Xue Jiang Xiaopeng Yan Huabin Zheng Wayne Zhang Ziwei Liu OODD 100 131 0 26 Aug 2021
CODEs: Chamfer Out-of-Distribution Examples against Overconfidence Issue Keke Tang Dingruibo Miao Weilong Peng Jianpeng Wu Yawen Shi Zhaoquan Gu Zhihong Tian Wenping Wang OODD 203 31 0 13 Aug 2021