Energy-based Out-of-distribution Detection

8 October 2020

Papers citing "Energy-based Out-of-distribution Detection"

50 / 819 papers shown

Title
How Does Diffusion Influence Pretrained Language Models on Out-of-Distribution Data? Huazheng Wang Daixuan Cheng Haifeng Sun Jingyu Wang Q. Qi Jianxin Liao Jing Wang Cong Liu 29 0 0 26 Jul 2023
Unmasking Anomalies in Road-Scene Segmentation Shyam Nandan Rai Fabio Cermelli Dario Fontanel Carlo Masone Barbara Caputo ISeg 21 40 0 25 Jul 2023
General-Purpose Multi-Modal OOD Detection Framework Viet Duong Qiong Wu Zhengyi Zhou Eric Zavesky Jiahe Chen Xiangzhou Liu Wen-Ling Hsu Huajie Shao OODD 49 2 0 24 Jul 2023
HOOD: Real-Time Human Presence and Out-of-Distribution Detection Using FMCW Radar Sabri Mustafa Kahya Muhammet Sami Yavuz Eckehard Steinbach 43 3 0 24 Jul 2023
RetouchingFFHQ: A Large-scale Dataset for Fine-grained Face Retouching Detection Qichao Ying Jiaxin Liu Sheng Li Haisheng Xu Zhenxing Qian Xinpeng Zhang CVBM 34 7 0 20 Jul 2023
A Holistic Assessment of the Reliability of Machine Learning Systems Anthony Corso David Karamadian Romeo Valentin Mary Cooper Mykel J. Kochenderfer 35 6 0 20 Jul 2023
Pseudo Outlier Exposure for Out-of-Distribution Detection using Pretrained Transformers Jaeyoung Kim Kyuheon Jung Dongbin Na Sion Jang Eunbin Park Sungchul Choi OODD 41 6 0 18 Jul 2023
A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, and Future Chaoyang Zhu Long Chen ObjD VLM 36 33 0 18 Jul 2023
Towards Trustworthy Dataset Distillation Shijie Ma Fei Zhu Zhen Cheng Xu-Yao Zhang DD 42 14 0 18 Jul 2023
Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks M. Baran Joanna Baran Mateusz Wójcik Maciej Ziȩba Adam Gonczarek OODD 51 4 0 13 Jul 2023
Large Class Separation is not what you need for Relational Reasoning-based OOD Detection L. Lu Giulia DÁscenzi Francesco Cappio Borlino Tatiana Tommasi OODD 25 1 0 12 Jul 2023
Learning Adversarial Semantic Embeddings for Zero-Shot Recognition in Open Worlds Tianqi Li Guansong Pang Xiao Bai Jingyi Zheng Lei Zhou Xin Ning VLM 45 27 0 07 Jul 2023
Improving the Efficiency of Human-in-the-Loop Systems: Adding Artificial to Human Experts Johannes Jakubik Daniel Weber Patrick Hemmer Michael Vossing G. Satzger 29 2 0 06 Jul 2023
Training Energy-Based Models with Diffusion Contrastive Divergences Weijian Luo Hao Jiang Tianyang Hu Jiacheng Sun Zechao Li Zhihua Zhang DiffM 25 8 0 04 Jul 2023
Robust Uncertainty Estimation for Classification of Maritime Objects J. Becktor Frederik E. T. Schöller Evangelos Boukas Lazaros Nalpantidis UQCV OOD 45 2 0 03 Jul 2023
Image Background Serves as Good Proxy for Out-of-distribution Data Sen Pei 44 1 0 02 Jul 2023
Exploration and Exploitation of Unlabeled Data for Open-Set Semi-Supervised Learning Ganlong Zhao Guanbin Li Yipeng Qin Jinjin Zhang Z. Chai Xiaolin K. Wei Liang Lin Yizhou Yu 37 1 0 30 Jun 2023
Beyond AUROC & co. for evaluating out-of-distribution detection performance Galadrielle Humblot-Renaux Sergio Escalera T. Moeslund OODD 22 4 0 26 Jun 2023
A Cosine Similarity-based Method for Out-of-Distribution Detection Nguyen Ngoc-Hieu Nguyen Hung-Quang The-Anh Ta Thanh Nguyen-Tang Khoa D. Doan Hoang Thanh-Tung OODD 24 2 0 23 Jun 2023
Balanced Energy Regularization Loss for Out-of-distribution Detection Hyunjun Choi Hawook Jeong Jin Young Choi OODD 46 19 0 18 Jun 2023
Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection Haoyue Bai Gregory H. Canal Xuefeng Du Jeongyeol Kwon Robert D. Nowak Yixuan Li OODD 41 45 0 15 Jun 2023
Improving Selective Visual Question Answering by Learning from Your Peers Corentin Dancette Spencer Whitehead Rishabh Maheshwary Ramakrishna Vedantam Stefan Scherer Xinlei Chen Matthieu Cord Marcus Rohrbach AAML OOD 40 16 0 14 Jun 2023
Distribution Shift Inversion for Out-of-Distribution Prediction Runpeng Yu Songhua Liu Xingyi Yang Xinchao Wang OODD 26 18 0 14 Jun 2023
How Does Fine-Tuning Impact Out-of-Distribution Detection for Vision-Language Models? Yifei Ming Yixuan Li OODD VLM 32 38 0 09 Jun 2023
Conservative Prediction via Data-Driven Confidence Minimization Caroline Choi Fahim Tajwar Yoonho Lee Huaxiu Yao Ananya Kumar Chelsea Finn 34 5 0 08 Jun 2023
Open Set Relation Extraction via Unknown-Aware Training Jun Zhao Xin Zhao Wenyu Zhan Qi Zhang Tao Gui Zhongyu Wei Yunwen Chen Xiang Gao Xuanjing Huang 38 1 0 08 Jun 2023
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability Jianing Zhu Hengzhuang Li Jiangchao Yao Tongliang Liu Jianliang Xu Bo Han OODD 48 12 0 06 Jun 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 35 2 0 06 Jun 2023
Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization Yebin Liu Chris Xing Tian Haoliang Li Lei Ma Shiqi Wang UQCV 34 19 0 05 Jun 2023
Provable Dynamic Fusion for Low-Quality Multimodal Data Qingyang Zhang Haitao Wu Changqing Zhang Qinghua Hu Huazhu Fu Qiufeng Wang Xi Peng 45 56 0 03 Jun 2023
DOS: Diverse Outlier Sampling for Out-of-Distribution Detection Wenyu Jiang Hao Cheng Mingcai Chen Chongjun Wang Hongxin Wei OOD OODD 24 9 0 03 Jun 2023
LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning Atsuyuki Miyai Qing Yu Go Irie Kiyoharu Aizawa OODD 35 65 0 02 Jun 2023
In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation Julian Bitterwolf Maximilian Müller Matthias Hein OODD 27 84 0 01 Jun 2023
Anomaly Detection with Variance Stabilized Density Estimation Amit Rozner Barak Battash Henry Li Lior Wolf Ofir Lindenbaum 49 2 0 01 Jun 2023
Semantic Role Labeling Guided Out-of-distribution Detection Jinan Zou Maihao Guo Yu Tian Yuhao Lin Hai Cao Lingqiao Liu Ehsan Abbasnejad Javen Qinfeng Shi OODD 31 1 0 29 May 2023
T2FNorm: Extremely Simple Scaled Train-time Feature Normalization for OOD Detection Sudarshan Regmi Bibek Panthi S. Dotel P. Gyawali Danail Stoynov Binod Bhattarai OODD 40 3 0 28 May 2023
GVdoc: Graph-based Visual Document Classification Fnu Mohbat Mohammed J Zaki Catherine Finegan-Dollak Ashish Verma OOD 34 1 0 26 May 2023
Building One-class Detector for Anything: Open-vocabulary Zero-shot OOD Detection Using Text-image Models Yunhao Ge Jie Jessie Ren Jiaping Zhao Kaifeng Chen Andrew Gallagher Laurent Itti Balaji Lakshminarayanan VLM ObjD 26 1 0 26 May 2023
Maskomaly:Zero-Shot Mask Anomaly Segmentation J. Ackermann Daniel Gehrig Feng Yu ISeg 38 23 0 26 May 2023
Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection Marc Lafon Elias Ramzi Clément Rambour Nicolas Thome OODD 35 10 0 26 May 2023
Energy-based Detection of Adverse Weather Effects in LiDAR Data Aldi Piroli Vinzenz Dallabetta Johannes Kopp M. Walessa D. Meissner Klaus C. J. Dietmayer 30 17 0 25 May 2023
How to Fix a Broken Confidence Estimator: Evaluating Post-hoc Methods for Selective Classification with Deep Neural Networks L. F. P. Cattelan Danilo Silva UQCV 27 6 0 24 May 2023
Gaussian Latent Representations for Uncertainty Estimation using Mahalanobis Distance in Deep Classifiers A. Venkataramanan Assia Benbihi Martin Laviale C´edric Pradalier UQCV 39 7 0 23 May 2023
Online Open-set Semi-supervised Object Detection with Dual Competing Head Zerun Wang Ling Xiao Liuyu Xiang Zhaotian Weng Toshihiko Yamasaki 36 0 0 23 May 2023
Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detection Rheeya Uppaal Junjie Hu Yixuan Li OODD 119 33 0 22 May 2023
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation Xiaowei Huang Wenjie Ruan Wei Huang Gao Jin Yizhen Dong ... Sihao Wu Peipei Xu Dengyu Wu André Freitas Mustafa A. Mustafa ALM 52 83 0 19 May 2023
Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow Denis A. Gudovskiy Tomoyuki Okuno Yohei Nakata 59 6 0 16 May 2023
Monitoring and Adapting ML Models on Mobile Devices Wei Hao Zixi Wang Lauren Hong Lingxi Li Nader Karayanni Chengzhi Mao Junfeng Yang Asaf Cidon OffRL 27 4 0 12 May 2023
Simple Token-Level Confidence Improves Caption Correctness Suzanne Petryk Spencer Whitehead Joseph E. Gonzalez Trevor Darrell Anna Rohrbach Marcus Rohrbach 31 7 0 11 May 2023
Maintaining Stability and Plasticity for Predictive Churn Reduction George Adam B. Haibe-Kains Anna Goldenberg 36 1 0 06 May 2023