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Energy-based Out-of-distribution Detection

8 October 2020

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

50 / 847 papers shown

Title
Augmenting Softmax Information for Selective Classification with Out-of-Distribution Data Guoxuan Xia C. Bouganis OODD 66 29 0 15 Jul 2022
Single Model Uncertainty Estimation via Stochastic Data Centering Jayaraman J. Thiagarajan Rushil Anirudh V. Narayanaswamy P. Bremer UQCV OOD 67 28 0 14 Jul 2022
Know Your Space: Inlier and Outlier Construction for Calibrating Medical OOD Detectors V. Narayanaswamy Yamen Mubarka Rushil Anirudh Deepta Rajan A. Spanias Jayaraman J. Thiagarajan OOD 46 1 0 12 Jul 2022
Out-of-Distribution Detection in Time-Series Domain: A Novel Seasonal Ratio Scoring Approach Taha Belkhouja Yan Yan J. Doppa OODD AI4TS 85 5 0 09 Jul 2022
Out of Distribution Detection via Neural Network Anchoring Rushil Anirudh Jayaraman J. Thiagarajan UQCV 118 5 0 08 Jul 2022
Harnessing Out-Of-Distribution Examples via Augmenting Content and Style Zhuo Huang Xiaobo Xia Li Shen Bo Han Biwei Huang Chen Gong Tongliang Liu OODD 79 47 0 07 Jul 2022
DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition Matej Grcić Petra Bevandić Sinivsa vSegvić 70 55 0 06 Jul 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
Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition Haotao Wang Aston Zhang Yi Zhu Shuai Zheng Mu Li Alexander J. Smola Zhangyang Wang OODD 201 50 0 04 Jul 2022
Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images Nanqing Dong Michael C. Kampffmeyer Irina Voiculescu OOD 63 7 0 30 Jun 2022
Out-of-Distribution Detection for Long-tailed and Fine-grained Skin Lesion Images Deval Mehta Y. Gal Adrian Bowling Paul Bonnington Zongyuan Ge OODD 56 13 0 30 Jun 2022
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness Francesco Pinto Harry Yang Ser-Nam Lim Philip Torr P. Dokania UQCV 97 36 0 29 Jun 2022
EBMs vs. CL: Exploring Self-Supervised Visual Pretraining for Visual Question Answering Violetta Shevchenko Ehsan Abbasnejad A. Dick Anton Van Den Hengel Damien Teney 71 0 0 29 Jun 2022
POEM: Out-of-Distribution Detection with Posterior Sampling Yifei Ming Ying Fan Yixuan Li OODD 97 118 0 28 Jun 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
WeShort: Out-of-distribution Detection With Weak Shortcut structure Jin-Siang Lin OODD 29 0 0 23 Jun 2022
Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities Julian Bitterwolf Alexander Meinke Maximilian Augustin Matthias Hein OODD 112 27 0 20 Jun 2022
Meta-learning for Out-of-Distribution Detection via Density Estimation in Latent Space Tomoharu Iwata Atsutoshi Kumagai OODD 44 2 0 20 Jun 2022
Multiple Testing Framework for Out-of-Distribution Detection A. Magesh Venugopal V. Veeravalli Anirban Roy Susmit Jha OODD 114 5 0 20 Jun 2022
ADBench: Anomaly Detection Benchmark Songqiao Han Xiyang Hu Hailiang Huang Mingqi Jiang Yue Zhao OOD 111 313 0 19 Jun 2022
Dual Representation Learning for Out-of-Distribution Detection Zhilin Zhao LongBing Cao 73 3 0 19 Jun 2022
Out-of-distribution Detection by Cross-class Vicinity Distribution of In-distribution Data Zhilin Zhao LongBing Cao Kun-Yu Lin OOD 48 2 0 19 Jun 2022
Supervision Adaptation Balancing In-distribution Generalization and Out-of-distribution Detection Zhilin Zhao LongBing Cao Kun-Yu Lin 77 6 0 19 Jun 2022
Finding Diverse and Predictable Subgraphs for Graph Domain Generalization Junchi Yu Jian Liang Ran He OOD 78 11 0 19 Jun 2022
Maximum Class Separation as Inductive Bias in One Matrix Tejaswi Kasarla Gertjan J. Burghouts Max van Spengler Elise van der Pol Rita Cucchiara Pascal Mettes 84 22 0 17 Jun 2022
Gradient-Based Adversarial and Out-of-Distribution Detection Jinsol Lee Mohit Prabhushankar Ghassan AlRegib UQCV 169 14 0 16 Jun 2022
READ: Aggregating Reconstruction Error into Out-of-distribution Detection Wenyu Jiang Yuxin Ge Hao Cheng Mingcai Chen Shuai Feng Chongjun Wang OODD 113 12 0 15 Jun 2022
EnergyMatch: Energy-based Pseudo-Labeling for Semi-Supervised Learning Zhuliang Yu Yin Li Yong Jae Lee 36 0 0 13 Jun 2022
Out-of-Distribution Detection with Class Ratio Estimation Mingtian Zhang Andi Zhang Tim Z. Xiao Yitong Sun Jingyu Sun OODD 54 5 0 08 Jun 2022
No GPU? No problem: an ultra fast 3D detection of road users with a simple proposal generator and energy-based out-of-distribution PointNets Alvari Seppänen Eerik Alamikkotervo Risto Ojala Giacomo Dario Kari Tammi 3DPC 75 0 0 06 Jun 2022
Selective Prediction via Training Dynamics Stephan Rabanser Anvith Thudi Kimia Hamidieh Adam Dziedzic Nicolas Papernot Akram Bin Sediq Hamza Sokun Nicolas Papernot 114 22 0 26 May 2022
ReSmooth: Detecting and Utilizing OOD Samples when Training with Data Augmentation Chenyang Wang Junjun Jiang Xiong Zhou Xianming Liu 78 4 0 25 May 2022
Active Source Free Domain Adaptation Fan Wang Zhongyi Han Zhiyan Zhang Yilong Yin 200 12 0 22 May 2022
How Useful are Gradients for OOD Detection Really? Conor Igoe Youngseog Chung I. Char J. Schneider OODD 89 26 0 20 May 2022
Mitigating Neural Network Overconfidence with Logit Normalization Hongxin Wei Renchunzi Xie Hao-Ran Cheng Lei Feng Bo An Yixuan Li OODD 231 288 0 19 May 2022
Norm-Scaling for Out-of-Distribution Detection Deepak Ravikumar Kaushik Roy OODD UQCV 49 2 0 06 May 2022
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 231 51 0 01 May 2022
Statistical applications of contrastive learning Michael U. Gutmann Steven Kleinegesse Benjamin Rhodes 61 7 0 29 Apr 2022
Out-of-Distribution Detection with Deep Nearest Neighbors Yiyou Sun Yifei Ming Xiaojin Zhu Yixuan Li OODD 216 536 0 13 Apr 2022
Out-Of-Distribution Detection In Unsupervised Continual Learning Jiangpeng He Fengqing Zhu OODD 51 9 0 12 Apr 2022
Full-Spectrum Out-of-Distribution Detection Jingkang Yang Kaiyang Zhou Ziwei Liu OODD 82 62 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 100 353 0 06 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
Energy-based Latent Aligner for Incremental Learning K. J. Joseph Salman Khan Fahad Shahbaz Khan Rao Muhammad Anwer V. Balasubramanian CLL 96 48 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 70 7 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 41 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 128 5 0 21 Mar 2022
ViM: Out-Of-Distribution with Virtual-logit Matching Haoqi Wang Zhizhong Li Xue Jiang Wayne Zhang OODD 118 342 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 139 4 0 19 Mar 2022
Are Vision Transformers Robust to Spurious Correlations? Soumya Suvra Ghosal Yifei Ming Yixuan Li ViT 71 34 0 17 Mar 2022