Energy-based Out-of-distribution Detection

8 October 2020

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

50 / 819 papers shown

Title
Out-of-Domain Intent Detection Considering Multi-Turn Dialogue Contexts Hao Lang Yinhe Zheng Binyuan Hui Fei Huang Yongbin Li 37 4 0 05 May 2023
A Survey on Out-of-Distribution Detection in NLP Hao Lang Yinhe Zheng Yixuan Li Jian Sun Feiling Huang Yongbin Li 34 20 0 05 May 2023
Out-of-distribution detection algorithms for robust insect classification M. Saadati Prithviraj Ammanabrolu Shivani Chiranjeevi Talukder Zaki Jubery Mark O. Riedl S. Sarkar Arti Singh Baskar Ganapathysubramanian OODD 57 8 0 02 May 2023
Great Models Think Alike: Improving Model Reliability via Inter-Model Latent Agreement Ailin Deng Miao Xiong Bryan Hooi 49 6 0 02 May 2023
Personalized Federated Learning under Mixture of Distributions Yue Wu Shuaicheng Zhang Wenchao Yu Yanchi Liu Quanquan Gu Dawei Zhou Haifeng Chen Wei Cheng FedML 85 40 0 01 May 2023
K-means Clustering Based Feature Consistency Alignment for Label-free Model Evaluation Shuyu Miao Lin Zheng Qingbin Liu and Hong Jin 39 5 0 17 Apr 2023
Unified Out-Of-Distribution Detection: A Model-Specific Perspective Reza Averly Wei-Lun Chao OODD 43 12 0 13 Apr 2023
In-Distribution and Out-of-Distribution Self-supervised ECG Representation Learning for Arrhythmia Detection S. Soltanieh J. Hashemi Ali Etemad 27 11 0 13 Apr 2023
Re-Weighted Softmax Cross-Entropy to Control Forgetting in Federated Learning G. Legate Lucas Caccia Eugene Belilovsky FedML 36 10 0 11 Apr 2023
Open Set Classification of GAN-based Image Manipulations via a ViT-based Hybrid Architecture Jun Wang Omran Alamayreh B. Tondi Mauro Barni CVBM 20 7 0 11 Apr 2023
Homogenizing Non-IID datasets via In-Distribution Knowledge Distillation for Decentralized Learning Deepak Ravikumar Gobinda Saha Sai Aparna Aketi Kaushik Roy 21 2 0 09 Apr 2023
Exploring the Connection between Robust and Generative Models Senad Beadini I. Masi AAML 32 1 0 08 Apr 2023
On-site Noise Exposure technique for noise-robust machine fault classification Wonjun Yi Jung-Woo Choi 16 0 0 07 Apr 2023
Probing the Purview of Neural Networks via Gradient Analysis Jinsol Lee Charles Lehman Mohit Prabhushankar Ghassan AlRegib 34 7 0 06 Apr 2023
EGC: Image Generation and Classification via a Diffusion Energy-Based Model Qiushan Guo Chuofan Ma Yi-Xin Jiang Zehuan Yuan Yizhou Yu Ping Luo DiffM 22 6 0 04 Apr 2023
Selective Knowledge Sharing for Privacy-Preserving Federated Distillation without A Good Teacher Jiawei Shao Fangzhao Wu Jun Zhang FedML 41 27 0 04 Apr 2023
Fully Variational Noise-Contrastive Estimation Christopher Zach BDL DRL 22 2 0 04 Apr 2023
Establishing baselines and introducing TernaryMixOE for fine-grained out-of-distribution detection Noah Fleischmann Walter D. Bennette Nathan Inkawhich OODD 18 0 0 30 Mar 2023
ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing Xiaodan Li YueFeng Chen Yao Zhu Shuhui Wang Rong Zhang Hui Xue 34 24 0 30 Mar 2023
OpenMix: Exploring Outlier Samples for Misclassification Detection Fei Zhu Zhen Cheng Xu-Yao Zhang Cheng-Lin Liu UQCV 31 32 0 30 Mar 2023
Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Detection Nicola Franco Daniel Korth J. Lorenz Karsten Roscher Stephan Guennemann 33 5 0 27 Mar 2023
Mind the Label Shift of Augmentation-based Graph OOD Generalization Junchi Yu Jian Liang Ran He 34 28 0 27 Mar 2023
SIO: Synthetic In-Distribution Data Benefits Out-of-Distribution Detection Jingyang Zhang Nathan Inkawhich Randolph Linderman R. Luley Yiran Chen H. Li OODD 24 1 0 25 Mar 2023
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck Jongheon Jeong Sihyun Yu Hankook Lee Jinwoo Shin AAML 44 0 0 24 Mar 2023
Poincaré ResNet Max van Spengler E. Berkhout Pascal Mettes SSL 48 12 0 24 Mar 2023
LINe: Out-of-Distribution Detection by Leveraging Important Neurons Yong Hyun Ahn Gyeong-Moon Park Seong Tae Kim OODD 119 31 0 24 Mar 2023
Anomaly Detection under Distribution Shift T. Cao Jiawen Zhu Guansong Pang 48 26 0 24 Mar 2023
Unknown Sniffer for Object Detection: Don't Turn a Blind Eye to Unknown Objects Wenteng Liang Feng Xue Yihao Liu Guofeng Zhong Anlong Ming 73 21 0 24 Mar 2023
Calibrated Out-of-Distribution Detection with a Generic Representation Tomás Vojír Jan Sochman Rahaf Aljundi Juan E. Sala Matas OODD UQCV 27 6 0 23 Mar 2023
Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization Zhuo Huang Miaoxi Zhu Xiaobo Xia Li Shen Jun Yu Chen Gong Bo Han Bo Du Tongliang Liu 38 33 0 23 Mar 2023
AUTO: Adaptive Outlier Optimization for Test-Time OOD Detection Puning Yang Jian Liang Jie Cao Ran He 41 12 0 22 Mar 2023
Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection Fan Lu Kai Zhu Wei Zhai Kecheng Zheng Yang Cao UQCV 46 20 0 18 Mar 2023
A Unified Continual Learning Framework with General Parameter-Efficient Tuning Qiankun Gao Chen Zhao Yifan Sun Teng Xi Gang Zhang Guohao Li Jing Zhang CLL 42 90 0 17 Mar 2023
Finding Competence Regions in Domain Generalization Jens Müller Stefan T. Radev R. Schmier Felix Dräxler Carsten Rother Ullrich Kothe 29 4 0 17 Mar 2023
Detecting Out-of-distribution Examples via Class-conditional Impressions Reappearing Jinggang Chen Xiaoyang Qu Junjie Li Jianzong Wang Ji-guang Wan Jing Xiao OODD 26 3 0 17 Mar 2023
Explanation Shift: How Did the Distribution Shift Impact the Model? Carlos Mougan Klaus Broelemann David Masip Gjergji Kasneci Thanassis Thiropanis Steffen Staab FAtt 22 1 0 14 Mar 2023
Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models Guoxuan Xia C. Bouganis UQCV 54 12 0 14 Mar 2023
WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant Analysis Yiye Chen Yunzhi Lin Ruinian Xu Patricio A. Vela OODD 34 3 0 14 Mar 2023
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning Zhuliang Yu Yin Li Yong Jae Lee 27 10 0 13 Mar 2023
MCROOD: Multi-Class Radar Out-Of-Distribution Detection Sabri Mustafa Kahya Muhammet Sami Yavuz Eckehard Steinbach 30 9 0 10 Mar 2023
Adapting Contrastive Language-Image Pretrained (CLIP) Models for Out-of-Distribution Detection Nikolas Adaloglou Félix D. P. Michels Tim Kaiser M. Kollmann VLM 37 0 0 10 Mar 2023
Toward Unsupervised Realistic Visual Question Answering Yuwei Zhang Chih-Hui Ho Nuno Vasconcelos CoGe 22 2 0 09 Mar 2023
Out-of-distribution Detection with Implicit Outlier Transformation Qizhou Wang Junjie Ye Feng Liu Quanyu Dai Marcus Kalander Tongliang Liu Jianye Hao Bo Han OODD 155 46 0 09 Mar 2023
Predicted Embedding Power Regression for Large-Scale Out-of-Distribution Detection Han Yang William R. Gebhardt Alexander Ororbia Travis J. Desell OODD 27 0 0 07 Mar 2023
Non-Parametric Outlier Synthesis Leitian Tao Xuefeng Du Xiaojin Zhu Yixuan Li OODD 28 98 0 06 Mar 2023
Rule-based Out-Of-Distribution Detection Giacomo De Bernardi Sara Narteni E. Cambiaso Maurizio Mongelli OODD 39 3 0 03 Mar 2023
DeepLens: Interactive Out-of-distribution Data Detection in NLP Models D. Song Zhijie Wang Yuheng Huang Lei Ma Tianyi Zhang 32 4 0 02 Mar 2023
Average of Pruning: Improving Performance and Stability of Out-of-Distribution Detection Zhen Cheng Fei Zhu Xu-Yao Zhang Cheng-Lin Liu MoMe OODD 45 11 0 02 Mar 2023
Reconstruction-based Out-of-Distribution Detection for Short-Range FMCW Radar Sabri Mustafa Kahya Muhammet Sami Yavuz Eckehard Steinbach OODD 11 7 0 27 Feb 2023
Open Set Action Recognition via Multi-Label Evidential Learning Chen Zhao Dawei Du A. Hoogs Christopher Funk EDL 20 23 0 27 Feb 2023