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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
Task Agnostic and Post-hoc Unseen Distribution Detection
Task Agnostic and Post-hoc Unseen Distribution DetectionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Radhika Dua
Seong-sil Yang
Shouqing Yang
Edward Choi
OODD
233
11
0
26 Jul 2022
Hierarchical Semi-Supervised Contrastive Learning for
  Contamination-Resistant Anomaly Detection
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly DetectionEuropean Conference on Computer Vision (ECCV), 2022
Gaoang Wang
Yibing Zhan
Xinchao Wang
Min-Gyoo Song
Klara Nahrstedt
135
13
0
24 Jul 2022
3DOS: Towards 3D Open Set Learning -- Benchmarking and Understanding
  Semantic Novelty Detection on Point Clouds
3DOS: Towards 3D Open Set Learning -- Benchmarking and Understanding Semantic Novelty Detection on Point CloudsNeural Information Processing Systems (NeurIPS), 2022
A. Alliegro
Francesco Cappio Borlino
Tatiana Tommasi
3DPC3DV
294
12
0
23 Jul 2022
TRUST-LAPSE: An Explainable and Actionable Mistrust Scoring Framework
  for Model Monitoring
TRUST-LAPSE: An Explainable and Actionable Mistrust Scoring Framework for Model MonitoringIEEE Transactions on Artificial Intelligence (IEEE TAI), 2022
Nandita Bhaskhar
D. Rubin
Christopher Lee-Messer
230
10
0
22 Jul 2022
Novel Class Discovery without Forgetting
Novel Class Discovery without ForgettingEuropean Conference on Computer Vision (ECCV), 2022
K. J. Joseph
S. Paul
Gaurav Aggarwal
Soma Biswas
Piyush Rai
Kai Han
V. Balasubramanian
CLL
278
53
0
21 Jul 2022
Towards Accurate Open-Set Recognition via Background-Class
  Regularization
Towards Accurate Open-Set Recognition via Background-Class RegularizationEuropean Conference on Computer Vision (ECCV), 2022
Wonwoong Cho
Jaegul Choo
BDL
172
23
0
21 Jul 2022
Rethinking Few-Shot Class-Incremental Learning with Open-Set Hypothesis
  in Hyperbolic Geometry
Rethinking Few-Shot Class-Incremental Learning with Open-Set Hypothesis in Hyperbolic GeometryIEEE transactions on multimedia (IEEE TMM), 2022
Yawen Cui
Zitong Yu
Wei Peng
Tianpeng Liu
CLL
193
21
0
20 Jul 2022
Semantic Novelty Detection via Relational Reasoning
Semantic Novelty Detection via Relational ReasoningEuropean Conference on Computer Vision (ECCV), 2022
Francesco Cappio Borlino
S. Bucci
Tatiana Tommasi
230
4
0
18 Jul 2022
A Simple Test-Time Method for Out-of-Distribution Detection
A Simple Test-Time Method for Out-of-Distribution Detection
Ke Fan
Yikai Wang
Qian Yu
Da Li
Yanwei Fu
OODD
147
8
0
17 Jul 2022
On the Usefulness of Deep Ensemble Diversity for Out-of-Distribution
  Detection
On the Usefulness of Deep Ensemble Diversity for Out-of-Distribution Detection
Guoxuan Xia
C. Bouganis
UQCV
180
14
0
15 Jul 2022
Augmenting Softmax Information for Selective Classification with
  Out-of-Distribution Data
Augmenting Softmax Information for Selective Classification with Out-of-Distribution DataAsian Conference on Computer Vision (ACCV), 2022
Guoxuan Xia
C. Bouganis
OODD
289
31
0
15 Jul 2022
Single Model Uncertainty Estimation via Stochastic Data Centering
Single Model Uncertainty Estimation via Stochastic Data CenteringNeural Information Processing Systems (NeurIPS), 2022
Jayaraman J. Thiagarajan
Rushil Anirudh
V. Narayanaswamy
P. Bremer
UQCVOOD
183
31
0
14 Jul 2022
Know Your Space: Inlier and Outlier Construction for Calibrating Medical
  OOD Detectors
Know Your Space: Inlier and Outlier Construction for Calibrating Medical OOD DetectorsInternational Conference on Medical Imaging with Deep Learning (MIDL), 2022
V. Narayanaswamy
Yamen Mubarka
Rushil Anirudh
Deepta Rajan
A. Spanias
Jayaraman J. Thiagarajan
OOD
168
3
0
12 Jul 2022
Out-of-Distribution Detection in Time-Series Domain: A Novel Seasonal
  Ratio Scoring Approach
Out-of-Distribution Detection in Time-Series Domain: A Novel Seasonal Ratio Scoring ApproachACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022
Taha Belkhouja
Yan Yan
J. Doppa
OODDAI4TS
242
7
0
09 Jul 2022
Out of Distribution Detection via Neural Network Anchoring
Out of Distribution Detection via Neural Network AnchoringAsian Conference on Machine Learning (ACML), 2022
Rushil Anirudh
Jayaraman J. Thiagarajan
UQCV
231
5
0
08 Jul 2022
Harnessing Out-Of-Distribution Examples via Augmenting Content and Style
Harnessing Out-Of-Distribution Examples via Augmenting Content and StyleInternational Conference on Learning Representations (ICLR), 2022
Zhuo Huang
Xiaobo Xia
Li Shen
Bo Han
Biwei Huang
Chen Gong
Tongliang Liu
OODD
253
57
0
07 Jul 2022
DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition
DenseHybrid: Hybrid Anomaly Detection for Dense Open-set RecognitionEuropean Conference on Computer Vision (ECCV), 2022
Matej Grcić
Petra Bevandić
Sinivsa vSegvić
152
65
0
06 Jul 2022
Class-Specific Semantic Reconstruction for Open Set Recognition
Class-Specific Semantic Reconstruction for Open Set RecognitionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Hongzhi Huang
Yu Wang
Qinghua Hu
Mingg-Ming Cheng
BDL
209
75
0
05 Jul 2022
Partial and Asymmetric Contrastive Learning for Out-of-Distribution
  Detection in Long-Tailed Recognition
Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed RecognitionInternational Conference on Machine Learning (ICML), 2022
Haotao Wang
Aston Zhang
Yi Zhu
Shuai Zheng
Mu Li
Alexander J. Smola
Zinan Lin
OODD
401
57
0
04 Jul 2022
Learning Underrepresented Classes from Decentralized Partially Labeled
  Medical Images
Learning Underrepresented Classes from Decentralized Partially Labeled Medical ImagesInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Nanqing Dong
Michael C. Kampffmeyer
Irina Voiculescu
OOD
156
10
0
30 Jun 2022
Out-of-Distribution Detection for Long-tailed and Fine-grained Skin
  Lesion Images
Out-of-Distribution Detection for Long-tailed and Fine-grained Skin Lesion ImagesInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Deval Mehta
Y. Gal
Adrian Bowling
Paul Bonnington
Zongyuan Ge
OODD
173
20
0
30 Jun 2022
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and
  Out Distribution Robustness
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness
Francesco Pinto
Harry Yang
Ser-Nam Lim
Juil Sock
P. Dokania
UQCV
287
39
0
29 Jun 2022
EBMs vs. CL: Exploring Self-Supervised Visual Pretraining for Visual
  Question Answering
EBMs vs. CL: Exploring Self-Supervised Visual Pretraining for Visual Question Answering
Violetta Shevchenko
Ehsan Abbasnejad
A. Dick
Anton Van Den Hengel
Damien Teney
243
0
0
29 Jun 2022
POEM: Out-of-Distribution Detection with Posterior Sampling
POEM: Out-of-Distribution Detection with Posterior SamplingInternational Conference on Machine Learning (ICML), 2022
Yifei Ming
Ying Fan
Shouqing Yang
OODD
281
140
0
28 Jun 2022
Batch-Ensemble Stochastic Neural Networks for Out-of-Distribution
  Detection
Batch-Ensemble Stochastic Neural Networks for Out-of-Distribution DetectionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Xiongjie Chen
Yunpeng Li
Yongxin Yang
UQCVOODD
223
4
0
26 Jun 2022
WeShort: Out-of-distribution Detection With Weak Shortcut structure
Jin-Siang Lin
OODD
205
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
Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core QuantitiesInternational Conference on Machine Learning (ICML), 2022
Julian Bitterwolf
Alexander Meinke
Maximilian Augustin
Matthias Hein
OODD
208
32
0
20 Jun 2022
Meta-learning for Out-of-Distribution Detection via Density Estimation
  in Latent Space
Meta-learning for Out-of-Distribution Detection via Density Estimation in Latent Space
Tomoharu Iwata
Atsutoshi Kumagai
OODD
131
2
0
20 Jun 2022
Multiple Testing Framework for Out-of-Distribution Detection
Multiple Testing Framework for Out-of-Distribution Detection
A. Magesh
Venugopal V. Veeravalli
Anirban Roy
Susmit Jha
OODD
359
5
0
20 Jun 2022
ADBench: Anomaly Detection Benchmark
ADBench: Anomaly Detection BenchmarkNeural Information Processing Systems (NeurIPS), 2022
Songqiao Han
Xiyang Hu
Hailiang Huang
Mingqi Jiang
Yue Zhao
OOD
353
383
0
19 Jun 2022
Dual Representation Learning for Out-of-Distribution Detection
Dual Representation Learning for Out-of-Distribution Detection
Zhilin Zhao
LongBing Cao
228
6
0
19 Jun 2022
Out-of-distribution Detection by Cross-class Vicinity Distribution of
  In-distribution Data
Out-of-distribution Detection by Cross-class Vicinity Distribution of In-distribution DataIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Zhilin Zhao
LongBing Cao
Kun-Yu Lin
OOD
168
5
0
19 Jun 2022
Supervision Adaptation Balancing In-distribution Generalization and
  Out-of-distribution Detection
Supervision Adaptation Balancing In-distribution Generalization and Out-of-distribution DetectionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Zhilin Zhao
LongBing Cao
Kun-Yu Lin
223
7
0
19 Jun 2022
Finding Diverse and Predictable Subgraphs for Graph Domain
  Generalization
Finding Diverse and Predictable Subgraphs for Graph Domain Generalization
Junchi Yu
Jian Liang
Xiao-Yu Zhang
OOD
200
14
0
19 Jun 2022
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing
  Long-tailed datasets
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasetsInternational Conference on Machine Learning (ICML), 2022
Jianguo Huang
Lue Tao
Renchunzi Xie
Lei Feng
Bo An
OODD
297
45
0
17 Jun 2022
Maximum Class Separation as Inductive Bias in One Matrix
Maximum Class Separation as Inductive Bias in One MatrixNeural Information Processing Systems (NeurIPS), 2022
Tejaswi Kasarla
Gertjan J. Burghouts
Max van Spengler
Elise van der Pol
Rita Cucchiara
Pascal Mettes
276
25
0
17 Jun 2022
Gradient-Based Adversarial and Out-of-Distribution Detection
Gradient-Based Adversarial and Out-of-Distribution Detection
Jinsol Lee
Mohit Prabhushankar
Ghassan AlRegib
UQCV
268
14
0
16 Jun 2022
READ: Aggregating Reconstruction Error into Out-of-distribution
  Detection
READ: Aggregating Reconstruction Error into Out-of-distribution DetectionAAAI Conference on Artificial Intelligence (AAAI), 2022
Wenyu Jiang
Yuxin Ge
Hao Cheng
Mingcai Chen
Shuai Feng
Chongjun Wang
OODD
301
14
0
15 Jun 2022
EnergyMatch: Energy-based Pseudo-Labeling for Semi-Supervised Learning
EnergyMatch: Energy-based Pseudo-Labeling for Semi-Supervised Learning
Xiaohua Xie
Yin Li
Yong Jae Lee
95
1
0
13 Jun 2022
Out-of-Distribution Detection with Class Ratio Estimation
Out-of-Distribution Detection with Class Ratio Estimation
Mingtian Zhang
Andi Zhang
Tim Z. Xiao
Yitong Sun
Jingyu Sun
OODD
191
7
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
No GPU? No problem: an ultra fast 3D detection of road users with a simple proposal generator and energy-based out-of-distribution PointNetsJournal of Big Data (J Big Data), 2022
Alvari Seppänen
Eerik Alamikkotervo
Risto Ojala
Giacomo Dario
Kari Tammi
3DPC
206
0
0
06 Jun 2022
Selective Prediction via Training Dynamics
Selective Prediction via Training Dynamics
Stephan Rabanser
Anvith Thudi
Kimia Hamidieh
Adam Dziedzic
Nicolas Papernot
Akram Bin Sediq
Hamza Sokun
Nicolas Papernot
368
22
0
26 May 2022
ReSmooth: Detecting and Utilizing OOD Samples when Training with Data
  Augmentation
ReSmooth: Detecting and Utilizing OOD Samples when Training with Data AugmentationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Chenyang Wang
Junjun Jiang
Xiong Zhou
Xianming Liu
184
6
0
25 May 2022
Active Source Free Domain Adaptation
Active Source Free Domain Adaptation
Fan Wang
Zhongyi Han
Zhiyan Zhang
Yilong Yin
288
12
0
22 May 2022
How Useful are Gradients for OOD Detection Really?
How Useful are Gradients for OOD Detection Really?
Conor Igoe
Youngseog Chung
I. Char
J. Schneider
OODD
172
27
0
20 May 2022
Mitigating Neural Network Overconfidence with Logit Normalization
Mitigating Neural Network Overconfidence with Logit NormalizationInternational Conference on Machine Learning (ICML), 2022
Jianguo Huang
Renchunzi Xie
Hao-Ran Cheng
Lei Feng
Bo An
Shouqing Yang
OODD
593
343
0
19 May 2022
Norm-Scaling for Out-of-Distribution Detection
Norm-Scaling for Out-of-Distribution Detection
Deepak Ravikumar
Kaushik Roy
OODDUQCV
79
3
0
06 May 2022
A Simple Approach to Improve Single-Model Deep Uncertainty via
  Distance-Awareness
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-AwarenessJournal of machine learning research (JMLR), 2022
J. Liu
Shreyas Padhy
Jie Jessie Ren
Zi Lin
Yeming Wen
Ghassen Jerfel
Zachary Nado
Jasper Snoek
Dustin Tran
Balaji Lakshminarayanan
UQCVBDL
480
64
0
01 May 2022
Statistical applications of contrastive learning
Statistical applications of contrastive learning
Michael U. Gutmann
Steven Kleinegesse
Benjamin Rhodes
209
10
0
29 Apr 2022
Out-of-Distribution Detection with Deep Nearest Neighbors
Out-of-Distribution Detection with Deep Nearest NeighborsInternational Conference on Machine Learning (ICML), 2022
Yiyou Sun
Yifei Ming
Xiaojin Zhu
Shouqing Yang
OODD
538
680
0
13 Apr 2022
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