Energy-based Out-of-distribution Detection

8 October 2020

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

50 / 812 papers shown

Title
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 16 48 0 01 May 2022
Statistical applications of contrastive learning Michael U. Gutmann Steven Kleinegesse Benjamin Rhodes 16 7 0 29 Apr 2022
Out-of-Distribution Detection with Deep Nearest Neighbors Yiyou Sun Yifei Ming Xiaojin Zhu Yixuan Li OODD 19 487 0 13 Apr 2022
Out-Of-Distribution Detection In Unsupervised Continual Learning Jiangpeng He F. Zhu OODD 13 9 0 12 Apr 2022
Full-Spectrum Out-of-Distribution Detection Jingkang Yang Kaiyang Zhou Ziwei Liu OODD 21 57 0 11 Apr 2022
Efficient Test-Time Model Adaptation without Forgetting Shuaicheng Niu Jiaxiang Wu Yifan Zhang Yaofo Chen S. Zheng P. Zhao Mingkui Tan OOD VLM TTA 26 307 0 06 Apr 2022
RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection Umar Khalid Ashkan Esmaeili Nazmul Karim Nazanin Rahnavard OODD 37 12 0 06 Apr 2022
Energy-based Latent Aligner for Incremental Learning K. J. Joseph Salman Khan F. Khan Rao Muhammad Anwer V. Balasubramanian CLL 28 46 0 28 Mar 2022
Bi-level Doubly Variational Learning for Energy-based Latent Variable Models Ge Kan Jinhu Lu Tian Wang Baochang Zhang Aichun Zhu Lei Huang Guodong Guo H. Snoussi 25 6 0 24 Mar 2022
Out of Distribution Detection, Generalization, and Robustness Triangle with Maximum Probability Theorem Amir Emad Marvasti Ehsan Emad Marvasti Ulas Bagci OOD 8 0 0 23 Mar 2022
Boost Test-Time Performance with Closed-Loop Inference Shuaicheng Niu Jiaxiang Wu Yifan Zhang Guanghui Xu Haokun Li Peilin Zhao Junzhou Huang Yaowei Wang Mingkui Tan 52 3 0 21 Mar 2022
ViM: Out-Of-Distribution with Virtual-logit Matching Haoqi Wang Zhizhong Li Litong Feng Wayne Zhang OODD 15 309 0 21 Mar 2022
Emulating Quantum Dynamics with Neural Networks via Knowledge Distillation Yu Yao C. Cao S. Haas Mahak Agarwal Divya Khanna M. Abram 19 4 0 19 Mar 2022
Are Vision Transformers Robust to Spurious Correlations? Soumya Suvra Ghosal Yifei Ming Yixuan Li ViT 25 28 0 17 Mar 2022
A Continual Learning Framework for Adaptive Defect Classification and Inspection Wenbo Sun Raed Al Kontar Judy Jin Tzyy-Shuh Chang 15 10 0 16 Mar 2022
Igeood: An Information Geometry Approach to Out-of-Distribution Detection Eduardo Dadalto Camara Gomes F. Alberge Pierre Duhamel Pablo Piantanida OODD 17 27 0 15 Mar 2022
Learning Discriminative Representations and Decision Boundaries for Open Intent Detection Hanlei Zhang Huan Xu Shaojie Zhao Qianrui Zhou 22 18 0 11 Mar 2022
How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection? Yifei Ming Yiyou Sun Ousmane Amadou Dia Yixuan Li OODD 24 95 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 32 90 0 08 Mar 2022
Concept-based Explanations for Out-Of-Distribution Detectors Jihye Choi Jayaram Raghuram Ryan Feng Jiefeng Chen S. Jha Atul Prakash OODD 16 12 0 04 Mar 2022
Learning Neural Set Functions Under the Optimal Subset Oracle Zijing Ou Tingyang Xu Qinliang Su Yingzhen Li P. Zhao Yatao Bian BDL 16 9 0 03 Mar 2022
Fine-grained TLS services classification with reject option Jan Luxemburk T. Čejka 14 32 0 24 Feb 2022
Computer Aided Diagnosis and Out-of-Distribution Detection in Glaucoma Screening Using Color Fundus Photography Satoshi Kondo Satoshi Kasai Kosuke Hirasawa 19 2 0 24 Feb 2022
Training OOD Detectors in their Natural Habitats Julian Katz-Samuels Julia B. Nakhleh Robert D. Nowak Yixuan Li OODD 24 89 0 07 Feb 2022
Nonparametric Uncertainty Quantification for Single Deterministic Neural Network Nikita Kotelevskii A. Artemenkov Kirill Fedyanin Fedor Noskov Alexander Fishkov Artem Shelmanov Artem Vazhentsev Aleksandr Petiushko Maxim Panov UQCV BDL 48 25 0 07 Feb 2022
Mapping DNN Embedding Manifolds for Network Generalization Prediction Molly O'Brien Julia V. Bukowski Mathias Unberath Aria Pezeshk Gregory Hager AI4CE 20 0 0 03 Feb 2022
Active Learning Over Multiple Domains in Natural Language Tasks Shayne Longpre Julia Reisler E. G. Huang Yi Lu Andrew J. Frank Nikhil Ramesh Chris DuBois OOD 19 13 0 01 Feb 2022
Out of Distribution Detection on ImageNet-O Anugya Srivastava S. Jain Mugdha Thigle OOD 51 5 0 23 Jan 2022
iDECODe: In-distribution Equivariance for Conformal Out-of-distribution Detection R. Kaur Susmit Jha Anirban Roy Sangdon Park Edgar Dobriban O. Sokolsky Insup Lee OODD 12 45 0 07 Jan 2022
Dense Out-of-Distribution Detection by Robust Learning on Synthetic Negative Data Matej Grcić Petra Bevandić Zoran Kalafatić Sinivsa vSegvić 19 10 0 23 Dec 2021
Out-of-distribution Detection with Boundary Aware Learning Sen Pei Xin Zhang Bin Fan Gaofeng Meng OODD 13 8 0 22 Dec 2021
Energy-bounded Learning for Robust Models of Code Nghi D. Q. Bui Yijun Yu OODD 35 2 0 20 Dec 2021
WOOD: Wasserstein-based Out-of-Distribution Detection Yinan Wang Wenbo Sun Jionghua Jin Zhen Kong Xiaowei Yue OODD 12 8 0 13 Dec 2021
Hyperdimensional Feature Fusion for Out-Of-Distribution Detection Samuel Wilson Tobias Fischer Niko Sünderhauf Feras Dayoub OODD 27 16 0 10 Dec 2021
Active Learning for Domain Adaptation: An Energy-Based Approach Binhui Xie Longhui Yuan Shuang Li Chi Harold Liu Xinjing Cheng Guoren Wang 16 107 0 02 Dec 2021
Provable Guarantees for Understanding Out-of-distribution Detection Peyman Morteza Yixuan Li OODD 30 86 0 01 Dec 2021
Label-Free Model Evaluation with Semi-Structured Dataset Representations Xiaoxiao Sun Yunzhong Hou Hongdong Li Liang Zheng 13 11 0 01 Dec 2021
A Unified Benchmark for the Unknown Detection Capability of Deep Neural Networks Jihyo Kim Jiin Koo Sangheum Hwang UQCV 8 19 0 01 Dec 2021
Understanding Out-of-distribution: A Perspective of Data Dynamics Dyah Adila Dongyeop Kang 35 12 0 29 Nov 2021
SLA $^2$ P: Self-supervised Anomaly Detection with Adversarial Perturbation Yizhou Wang Can Qin Rongzhe Wei Yi Tian Xu Yue Bai Y. Fu AAML 18 5 0 25 Nov 2021
ReAct: Out-of-distribution Detection With Rectified Activations Yiyou Sun Chuan Guo Yixuan Li OODD 17 454 0 24 Nov 2021
Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes Yu Tian Yuyuan Liu Guansong Pang Fengbei Liu Yuanhong Chen G. Carneiro 13 84 0 24 Nov 2021
DICE: Leveraging Sparsification for Out-of-Distribution Detection Yiyou Sun Yixuan Li OODD 30 151 0 18 Nov 2021
Class-wise Thresholding for Robust Out-of-Distribution Detection Matteo Guarrera Baihong Jin Tung-Wei Lin Maria A. Zuluaga Yuxin Chen Alberto L. Sangiovanni-Vincentelli OODD OOD 6 3 0 28 Oct 2021
Exploring Covariate and Concept Shift for Detection and Calibration of Out-of-Distribution Data Junjiao Tian Yen-Change Hsu Yilin Shen Hongxia Jin Z. Kira OODD 19 6 0 28 Oct 2021
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges Mohammadreza Salehi Hossein Mirzaei Dan Hendrycks Yixuan Li M. Rohban Mohammad Sabokrou OOD 25 190 0 26 Oct 2021
Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection Chunjong Park Anas Awadalla Tadayoshi Kohno Shwetak N. Patel OOD 17 29 0 26 Oct 2021
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification Maximilian Stadler Bertrand Charpentier Simon Geisler Daniel Zügner Stephan Günnemann UQCV BDL 28 80 0 26 Oct 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 176 875 0 21 Oct 2021
EBJR: Energy-Based Joint Reasoning for Adaptive Inference Mohammad Akbari Amin Banitalebi-Dehkordi Yong Zhang BDL MQ 6 6 0 20 Oct 2021