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Energy-based Out-of-distribution Detection
v1v2v3v4 (latest)

Energy-based Out-of-distribution Detection

8 October 2020
Weitang Liu
Xiaoyun Wang
John Douglas Owens
Shouqing Yang
    OODD
ArXiv (abs)PDFHTML

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

50 / 958 papers shown
On-site Noise Exposure technique for noise-robust machine fault
  classification
On-site Noise Exposure technique for noise-robust machine fault classification
Wonjun Yi
Jung-Woo Choi
46
0
0
07 Apr 2023
Probing the Purview of Neural Networks via Gradient Analysis
Probing the Purview of Neural Networks via Gradient AnalysisIEEE Access (IEEE Access), 2023
Jinsol Lee
Charles Lehman
Mohit Prabhushankar
Ghassan AlRegib
207
8
0
06 Apr 2023
EGC: Image Generation and Classification via a Diffusion Energy-Based
  Model
EGC: Image Generation and Classification via a Diffusion Energy-Based ModelIEEE International Conference on Computer Vision (ICCV), 2023
Qiushan Guo
Chuofan Ma
Yi Jiang
Zehuan Yuan
Yizhou Yu
Ping Luo
DiffM
360
13
0
04 Apr 2023
Selective Knowledge Sharing for Privacy-Preserving Federated
  Distillation without A Good Teacher
Selective Knowledge Sharing for Privacy-Preserving Federated Distillation without A Good TeacherNature Communications (Nat. Commun.), 2023
Jiawei Shao
Fangzhao Wu
Jun Zhang
FedML
343
59
0
04 Apr 2023
Fully Variational Noise-Contrastive Estimation
Fully Variational Noise-Contrastive EstimationScandinavian Conference on Image Analysis (SCIA), 2023
Christopher Zach
BDLDRL
161
2
0
04 Apr 2023
Establishing baselines and introducing TernaryMixOE for fine-grained
  out-of-distribution detection
Establishing baselines and introducing TernaryMixOE for fine-grained out-of-distribution detection
Noah Fleischmann
Walter D. Bennette
Nathan Inkawhich
OODD
91
0
0
30 Mar 2023
ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing
ImageNet-E: Benchmarking Neural Network Robustness via Attribute EditingComputer Vision and Pattern Recognition (CVPR), 2023
Xiaodan Li
YueFeng Chen
Yao Zhu
Shuhui Wang
Rong Zhang
Hui Xue
247
34
0
30 Mar 2023
OpenMix: Exploring Outlier Samples for Misclassification Detection
OpenMix: Exploring Outlier Samples for Misclassification DetectionComputer Vision and Pattern Recognition (CVPR), 2023
Fei Zhu
Zhen Cheng
Xu-Yao Zhang
Cheng-Lin Liu
UQCV
217
44
0
30 Mar 2023
Diffusion Denoised Smoothing for Certified and Adversarial Robust
  Out-Of-Distribution Detection
Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Detection
Nicola Franco
Daniel Korth
J. Lorenz
Karsten Roscher
Stephan Guennemann
168
6
0
27 Mar 2023
Mind the Label Shift of Augmentation-based Graph OOD Generalization
Mind the Label Shift of Augmentation-based Graph OOD GeneralizationComputer Vision and Pattern Recognition (CVPR), 2023
Junchi Yu
Jian Liang
Ran He
180
45
0
27 Mar 2023
SIO: Synthetic In-Distribution Data Benefits Out-of-Distribution
  Detection
SIO: Synthetic In-Distribution Data Benefits Out-of-Distribution Detection
Jingyang Zhang
Nathan Inkawhich
Randolph Linderman
R. Luley
Yiran Chen
Xue Yang
OODD
195
1
0
25 Mar 2023
Enhancing Multiple Reliability Measures via Nuisance-extended
  Information Bottleneck
Enhancing Multiple Reliability Measures via Nuisance-extended Information BottleneckComputer Vision and Pattern Recognition (CVPR), 2023
Jongheon Jeong
Sihyun Yu
Hankook Lee
Jinwoo Shin
AAML
176
1
0
24 Mar 2023
Poincaré ResNet
Poincaré ResNetIEEE International Conference on Computer Vision (ICCV), 2023
Max van Spengler
E. Berkhout
Pascal Mettes
SSL
274
21
0
24 Mar 2023
LINe: Out-of-Distribution Detection by Leveraging Important Neurons
LINe: Out-of-Distribution Detection by Leveraging Important NeuronsComputer Vision and Pattern Recognition (CVPR), 2023
Yong Hyun Ahn
Gyeong-Moon Park
Seong Tae Kim
OODD
303
43
0
24 Mar 2023
Anomaly Detection under Distribution Shift
Anomaly Detection under Distribution ShiftIEEE International Conference on Computer Vision (ICCV), 2023
T. Cao
Jiawen Zhu
Guansong Pang
240
46
0
24 Mar 2023
Unknown Sniffer for Object Detection: Don't Turn a Blind Eye to Unknown
  Objects
Unknown Sniffer for Object Detection: Don't Turn a Blind Eye to Unknown ObjectsComputer Vision and Pattern Recognition (CVPR), 2023
Wenteng Liang
Feng Xue
Yihao Liu
Guofeng Zhong
Anlong Ming
557
34
0
24 Mar 2023
Calibrated Out-of-Distribution Detection with a Generic Representation
Calibrated Out-of-Distribution Detection with a Generic Representation
Tomás Vojír
Jan Sochman
Rahaf Aljundi
Juan E. Sala Matas
OODDUQCV
303
11
0
23 Mar 2023
Robust Generalization against Photon-Limited Corruptions via Worst-Case
  Sharpness Minimization
Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness MinimizationComputer Vision and Pattern Recognition (CVPR), 2023
Zhuo Huang
Miaoxi Zhu
Xiaobo Xia
Li Shen
Jun Yu
Chen Gong
Bo Han
Bo Du
Tongliang Liu
192
40
0
23 Mar 2023
Uncertainty-Aware Optimal Transport for Semantically Coherent
  Out-of-Distribution Detection
Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution DetectionComputer Vision and Pattern Recognition (CVPR), 2023
Fan Lu
Kai Zhu
Wei Zhai
Kecheng Zheng
Yang Cao
UQCV
327
25
0
18 Mar 2023
A Unified Continual Learning Framework with General Parameter-Efficient
  Tuning
A Unified Continual Learning Framework with General Parameter-Efficient TuningIEEE International Conference on Computer Vision (ICCV), 2023
Qiankun Gao
Chen Zhao
Yifan Sun
Teng Xi
Qiang Chen
Guohao Li
Shuai Liu
CLL
372
133
0
17 Mar 2023
Finding Competence Regions in Domain Generalization
Finding Competence Regions in Domain Generalization
Jens Müller
Stefan T. Radev
R. Schmier
Felix Dräxler
Carsten Rother
Ullrich Kothe
346
4
0
17 Mar 2023
Detecting Out-of-distribution Examples via Class-conditional Impressions
  Reappearing
Detecting Out-of-distribution Examples via Class-conditional Impressions ReappearingIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Jinggang Chen
Xiaoyang Qu
Junjie Li
Jianzong Wang
Ji-guang Wan
Jing Xiao
OODD
122
5
0
17 Mar 2023
Background Matters: Enhancing Out-of-distribution Detection with Domain
  Features
Background Matters: Enhancing Out-of-distribution Detection with Domain FeaturesACM Multimedia (ACM MM), 2023
Choubo Ding
Guansong Pang
Chunhua Shen
OODD
90
0
0
15 Mar 2023
Explanation Shift: How Did the Distribution Shift Impact the Model?
Explanation Shift: How Did the Distribution Shift Impact the Model?
Carlos Mougan
Klaus Broelemann
David Masip
Gjergji Kasneci
Thanassis Thiropanis
Steffen Staab
FAtt
282
4
0
14 Mar 2023
Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep
  Ensembles are More Efficient than Single Models
Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single ModelsIEEE International Conference on Computer Vision (ICCV), 2023
Guoxuan Xia
C. Bouganis
UQCV
504
14
0
14 Mar 2023
WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant
  Analysis
WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant AnalysisIEEE International Conference on Computer Vision (ICCV), 2023
Yiye Chen
Yunzhi Lin
Ruinian Xu
Patricio A. Vela
OODD
247
10
0
14 Mar 2023
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised
  Learning
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised LearningInternational Conference on Learning Representations (ICLR), 2023
Xiaohua Xie
Yin Li
Yong Jae Lee
181
17
0
13 Mar 2023
MCROOD: Multi-Class Radar Out-Of-Distribution Detection
MCROOD: Multi-Class Radar Out-Of-Distribution DetectionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Sabri Mustafa Kahya
Muhammet Sami Yavuz
Eckehard Steinbach
114
10
0
10 Mar 2023
Adapting Contrastive Language-Image Pretrained (CLIP) Models for
  Out-of-Distribution Detection
Adapting Contrastive Language-Image Pretrained (CLIP) Models for Out-of-Distribution Detection
Tim Kaiser
Félix D. P. Michels
Nikolas Adaloglou
M. Kollmann
VLM
242
0
0
10 Mar 2023
Toward Unsupervised Realistic Visual Question Answering
Toward Unsupervised Realistic Visual Question AnsweringIEEE International Conference on Computer Vision (ICCV), 2023
Yuwei Zhang
Chih-Hui Ho
Nuno Vasconcelos
CoGe
279
2
0
09 Mar 2023
Out-of-distribution Detection with Implicit Outlier Transformation
Out-of-distribution Detection with Implicit Outlier TransformationInternational Conference on Learning Representations (ICLR), 2023
Qizhou Wang
Junjie Ye
Yifan Zhang
Quanyu Dai
Marcus Kalander
Tongliang Liu
Jianye Hao
Bo Han
OODD
342
56
0
09 Mar 2023
Predicted Embedding Power Regression for Large-Scale Out-of-Distribution
  Detection
Predicted Embedding Power Regression for Large-Scale Out-of-Distribution Detection
Han Yang
William R. Gebhardt
Alexander Ororbia
Travis J. Desell
OODD
191
0
0
07 Mar 2023
Non-Parametric Outlier Synthesis
Non-Parametric Outlier SynthesisInternational Conference on Learning Representations (ICLR), 2023
Leitian Tao
Xuefeng Du
Xiaojin Zhu
Shouqing Yang
OODD
240
143
0
06 Mar 2023
Rule-based Out-Of-Distribution Detection
Rule-based Out-Of-Distribution DetectionIEEE Transactions on Artificial Intelligence (IEEE TAI), 2023
Giacomo De Bernardi
Sara Narteni
E. Cambiaso
Maurizio Mongelli
OODD
156
5
0
03 Mar 2023
DeepLens: Interactive Out-of-distribution Data Detection in NLP Models
DeepLens: Interactive Out-of-distribution Data Detection in NLP ModelsInternational Conference on Human Factors in Computing Systems (CHI), 2023
D. Song
Zhijie Wang
Yuheng Huang
Lei Ma
Tianyi Zhang
152
8
0
02 Mar 2023
Average of Pruning: Improving Performance and Stability of
  Out-of-Distribution Detection
Average of Pruning: Improving Performance and Stability of Out-of-Distribution DetectionIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Zhen Cheng
Fei Zhu
Xu-Yao Zhang
Cheng-Lin Liu
MoMeOODD
213
15
0
02 Mar 2023
Reconstruction-based Out-of-Distribution Detection for Short-Range FMCW
  Radar
Reconstruction-based Out-of-Distribution Detection for Short-Range FMCW RadarEuropean Signal Processing Conference (EUSIPCO), 2023
Sabri Mustafa Kahya
Muhammet Sami Yavuz
Eckehard Steinbach
OODD
360
8
0
27 Feb 2023
Open Set Action Recognition via Multi-Label Evidential Learning
Open Set Action Recognition via Multi-Label Evidential LearningComputer Vision and Pattern Recognition (CVPR), 2023
Chen Zhao
Dawei Du
A. Hoogs
Christopher Funk
EDL
179
36
0
27 Feb 2023
VRA: Variational Rectified Activation for Out-of-distribution Detection
VRA: Variational Rectified Activation for Out-of-distribution DetectionNeural Information Processing Systems (NeurIPS), 2023
Ming Xu
Zheng Lian
B. Liu
Jianhua Tao
OODD
295
13
0
23 Feb 2023
Energy-Based Test Sample Adaptation for Domain Generalization
Energy-Based Test Sample Adaptation for Domain GeneralizationInternational Conference on Learning Representations (ICLR), 2023
Zehao Xiao
Xiantong Zhen
Tianran Ouyang
Cees G. M. Snoek
TTA
238
22
0
22 Feb 2023
Using Semantic Information for Defining and Detecting OOD Inputs
Using Semantic Information for Defining and Detecting OOD Inputs
Ramneet Kaur
Xiayan Ji
Souradeep Dutta
Michele Caprio
Yahan Yang
E. Bernardis
O. Sokolsky
Insup Lee
OODD
223
10
0
21 Feb 2023
Multiobjective Evolutionary Pruning of Deep Neural Networks with
  Transfer Learning for improving their Performance and Robustness
Multiobjective Evolutionary Pruning of Deep Neural Networks with Transfer Learning for improving their Performance and RobustnessApplied Soft Computing (Appl. Soft Comput.), 2023
Javier Poyatos
Daniel Molina
Aitor Martínez
Javier Del Ser
Francisco Herrera
268
15
0
20 Feb 2023
Unsupervised Layer-wise Score Aggregation for Textual OOD Detection
Unsupervised Layer-wise Score Aggregation for Textual OOD DetectionAAAI Conference on Artificial Intelligence (AAAI), 2023
Maxime Darrin
Guillaume Staerman
Eduardo Dadalto Camara Gomes
Jackie CK Cheung
Pablo Piantanida
Pierre Colombo
OODD
655
17
0
20 Feb 2023
Gradient-based Wang-Landau Algorithm: A Novel Sampler for Output
  Distribution of Neural Networks over the Input Space
Gradient-based Wang-Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input SpaceInternational Conference on Machine Learning (ICML), 2023
Weitang Liu
Ying-Wai Li
Yi-Zhuang You
Jingbo Shang
145
2
0
19 Feb 2023
Unsupervised Evaluation of Out-of-distribution Detection: A Data-centric
  Perspective
Unsupervised Evaluation of Out-of-distribution Detection: A Data-centric Perspective
Yuhang Zhang
Weihong Deng
Liang Zheng
OODD
208
4
0
16 Feb 2023
Uncertainty-Estimation with Normalized Logits for Out-of-Distribution
  Detection
Uncertainty-Estimation with Normalized Logits for Out-of-Distribution Detection
Mou-Yue Huang
Yu Qiao
169
4
0
15 Feb 2023
Density-Softmax: Efficient Test-time Model for Uncertainty Estimation
  and Robustness under Distribution Shifts
Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution ShiftsInternational Conference on Machine Learning (ICML), 2023
H. Bui
Anqi Liu
OODUQCV
578
9
0
13 Feb 2023
Predicting Out-of-Distribution Error with Confidence Optimal Transport
Predicting Out-of-Distribution Error with Confidence Optimal Transport
Yuzhe Lu
Zhenlin Wang
Runtian Zhai
Soheil Kolouri
Joseph Campbell
Katia Sycara
OODD
155
14
0
10 Feb 2023
Continuous Learning for Android Malware Detection
Continuous Learning for Android Malware DetectionUSENIX Security Symposium (USENIX Security), 2023
Yizheng Chen
Zhoujie Ding
David Wagner
299
63
0
08 Feb 2023
Robustness to Spurious Correlations Improves Semantic
  Out-of-Distribution Detection
Robustness to Spurious Correlations Improves Semantic Out-of-Distribution DetectionAAAI Conference on Artificial Intelligence (AAAI), 2023
Lily H. Zhang
Rajesh Ranganath
OODD
195
9
0
08 Feb 2023
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