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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
Yixuan Li
    OODD
ArXiv (abs)PDFHTML

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

50 / 847 papers shown
Title
Evaluating Out-of-Distribution Performance on Document Image Classifiers
Evaluating Out-of-Distribution Performance on Document Image Classifiers
Stefan Larson
Gordon Lim
Yutong Ai
David Kuang
Kevin Leach
OODDOOD
133
18
0
14 Oct 2022
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection
Jingkang Yang
Pengyun Wang
Dejian Zou
Zitang Zhou
Kun Ding
...
Kaiyang Zhou
Wayne Zhang
Dan Hendrycks
Yixuan Li
Ziwei Liu
OODD
93
245
0
13 Oct 2022
The Open-World Lottery Ticket Hypothesis for OOD Intent Classification
The Open-World Lottery Ticket Hypothesis for OOD Intent Classification
Yunhua Zhou
Pengyu Wang
Peiju Liu
Yuxin Wang
Xipeng Qiu
87
2
0
13 Oct 2022
Exploiting Mixed Unlabeled Data for Detecting Samples of Seen and Unseen
  Out-of-Distribution Classes
Exploiting Mixed Unlabeled Data for Detecting Samples of Seen and Unseen Out-of-Distribution Classes
Yifang Sun
Wei Wang
OODD
56
5
0
13 Oct 2022
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set
  Active Learning
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning
Dongmin Park
Yooju Shin
Jihwan Bang
Youngjune Lee
Hwanjun Song
Jae-Gil Lee
112
26
0
13 Oct 2022
Model Cascading: Towards Jointly Improving Efficiency and Accuracy of
  NLP Systems
Model Cascading: Towards Jointly Improving Efficiency and Accuracy of NLP Systems
Neeraj Varshney
Chitta Baral
78
28
0
11 Oct 2022
Towards Understanding and Boosting Adversarial Transferability from a
  Distribution Perspective
Towards Understanding and Boosting Adversarial Transferability from a Distribution Perspective
Yao Zhu
YueFeng Chen
Xiaodan Li
Kejiang Chen
Yuan He
Xiang Tian
Bo Zheng
Yao-wu Chen
Qingming Huang
AAML
64
59
0
09 Oct 2022
Boosting Out-of-distribution Detection with Typical Features
Boosting Out-of-distribution Detection with Typical Features
Yao Zhu
YueFeng Chen
Chuanlong Xie
Xiaodan Li
Rong Zhang
Hui Xue
Xiang Tian
Bolun Zheng
Yao-wu Chen
OODD
160
53
0
09 Oct 2022
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models
Chen Liang
Wenguan Wang
Jiaxu Miao
Yi Yang
VLM
103
122
0
05 Oct 2022
GAPX: Generalized Autoregressive Paraphrase-Identification X
GAPX: Generalized Autoregressive Paraphrase-Identification X
Yi Zhou
Renyu Li
Hayden Housen
Ser-Nam Lim
BDL
68
0
0
05 Oct 2022
Out-of-Distribution Detection and Selective Generation for Conditional
  Language Models
Out-of-Distribution Detection and Selective Generation for Conditional Language Models
Jie Jessie Ren
Jiaming Luo
Yao-Min Zhao
Kundan Krishna
Mohammad Saleh
Balaji Lakshminarayanan
Peter J. Liu
OODD
129
114
0
30 Sep 2022
A Novel Explainable Out-of-Distribution Detection Approach for Spiking
  Neural Networks
A Novel Explainable Out-of-Distribution Detection Approach for Spiking Neural Networks
Aitor Martinez Seras
Javier Del Ser
J. Lobo
Pablo Garcia-Bringas
N. Kasabov
OODD
31
1
0
30 Sep 2022
Your Out-of-Distribution Detection Method is Not Robust!
Your Out-of-Distribution Detection Method is Not Robust!
Mohammad Azizmalayeri
Arshia Soltani Moakhar
Arman Zarei
Reihaneh Zohrabi
M. T. Manzuri
M. Rohban
OODD
111
17
0
30 Sep 2022
A Comprehensive Review of Trends, Applications and Challenges In
  Out-of-Distribution Detection
A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection
Navid Ghassemi
E. F. Ersi
AAMLOODD
98
4
0
26 Sep 2022
Out-of-Distribution Detection with Hilbert-Schmidt Independence
  Optimization
Out-of-Distribution Detection with Hilbert-Schmidt Independence Optimization
Jingyang Lin
Yu Wang
Qi Cai
Yingwei Pan
Ting Yao
Hongyang Chao
Tao Mei
OODD
59
3
0
26 Sep 2022
Raising the Bar on the Evaluation of Out-of-Distribution Detection
Raising the Bar on the Evaluation of Out-of-Distribution Detection
Jishnu Mukhoti
Tsung-Yu Lin
Bor-Chun Chen
Ashish Shah
Philip Torr
P. Dokania
Ser-Nam Lim
OODD
52
4
0
24 Sep 2022
Extremely Simple Activation Shaping for Out-of-Distribution Detection
Extremely Simple Activation Shaping for Out-of-Distribution Detection
Andrija Djurisic
Nebojsa Bozanic
Arjun Ashok
Rosanne Liu
OODD
232
166
0
20 Sep 2022
RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection
RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection
Yue Song
N. Sebe
Wei Wang
OODD
133
58
0
18 Sep 2022
Towards Bridging the Performance Gaps of Joint Energy-based Models
Towards Bridging the Performance Gaps of Joint Energy-based Models
Xiulong Yang
Qing Su
Shihao Ji
VLM
71
15
0
16 Sep 2022
Topological Structure Learning for Weakly-Supervised Out-of-Distribution
  Detection
Topological Structure Learning for Weakly-Supervised Out-of-Distribution Detection
Rundong He
Rong Li
Zhongyi Han
Yilong Yin
77
4
0
16 Sep 2022
Fine-grain Inference on Out-of-Distribution Data with Hierarchical
  Classification
Fine-grain Inference on Out-of-Distribution Data with Hierarchical Classification
Randolph Linderman
Jingyang Zhang
Nathan Inkawhich
H. Li
Yiran Chen
OODD
175
7
0
09 Sep 2022
SAFE: Sensitivity-Aware Features for Out-of-Distribution Object
  Detection
SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection
Samuel Wilson
Tobias Fischer
Feras Dayoub
Dimity Miller
Niko Sünderhauf
OODD
122
31
0
29 Aug 2022
Open-Set Semi-Supervised Object Detection
Open-Set Semi-Supervised Object Detection
Yen-Cheng Liu
Chih-Yao Ma
Xiaoliang Dai
Junjiao Tian
Peter Vajda
Zijian He
Z. Kira
62
24
0
29 Aug 2022
Towards In-distribution Compatibility in Out-of-distribution Detection
Towards In-distribution Compatibility in Out-of-distribution Detection
Boxi Wu
Jie Jiang
Haidong Ren
Zifan Du
Wenxiao Wang
Zhifeng Li
Deng Cai
Xiaofei He
Binbin Lin
Wei Liu
OODD
46
1
0
29 Aug 2022
Detecting the unknown in Object Detection
Detecting the unknown in Object Detection
Dario Fontanel
Matteo Tarantino
Fabio Cermelli
Barbara Caputo
ObjD
40
7
0
24 Aug 2022
Tunable Hybrid Proposal Networks for the Open World
Tunable Hybrid Proposal Networks for the Open World
Matthew J. Inkawhich
Nathan Inkawhich
H. Li
Yiran Chen
80
2
0
23 Aug 2022
The Value of Out-of-Distribution Data
The Value of Out-of-Distribution Data
Ashwin De Silva
Rahul Ramesh
Carey E. Priebe
Pratik Chaudhari
Joshua T. Vogelstein
OODD
91
12
0
23 Aug 2022
Semantic Driven Energy based Out-of-Distribution Detection
Semantic Driven Energy based Out-of-Distribution Detection
Abhishek Joshi
Sathish Chalasani
K. N. Iyer
OODD
71
4
0
23 Aug 2022
Labeling Chaos to Learning Harmony: Federated Learning with Noisy Labels
Labeling Chaos to Learning Harmony: Federated Learning with Noisy Labels
Vasileios Tsouvalas
Aaqib Saeed
T. Ozcelebi
N. Meratnia
FedML
49
13
0
19 Aug 2022
Out-of-distribution Detection via Frequency-regularized Generative
  Models
Out-of-distribution Detection via Frequency-regularized Generative Models
Mu Cai
Yixuan Li
OODD
64
33
0
18 Aug 2022
Open Long-Tailed Recognition in a Dynamic World
Open Long-Tailed Recognition in a Dynamic World
Ziwei Liu
Zhongqi Miao
Xiaohang Zhan
Jiayun Wang
Boqing Gong
Stella X. Yu
VLM
90
21
0
17 Aug 2022
Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model
Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model
Xiulong Yang
Sheng-Min Shih
Yinlin Fu
Xiaoting Zhao
Shihao Ji
DiffM
93
56
0
16 Aug 2022
Distance-based detection of out-of-distribution silent failures for
  Covid-19 lung lesion segmentation
Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation
Jiamin Liang
Yuhao Huang
Haoming Li
Shuangchi He
Xindi Hu
Zejian Chen
Isabel Kaltenborn
Dong Ni
OOD
86
44
0
05 Aug 2022
Interpretable Distribution Shift Detection using Optimal Transport
Interpretable Distribution Shift Detection using Optimal Transport
Neha Hulkund
Nicolò Fusi
Jennifer Wortman Vaughan
David Alvarez-Melis
OT
46
2
0
04 Aug 2022
OpenCon: Open-world Contrastive Learning
OpenCon: Open-world Contrastive Learning
Yiyou Sun
Yixuan Li
VLMSSLDRL
147
43
0
04 Aug 2022
Making the Best of Both Worlds: A Domain-Oriented Transformer for
  Unsupervised Domain Adaptation
Making the Best of Both Worlds: A Domain-Oriented Transformer for Unsupervised Domain Adaptation
Wen-hui Ma
Jinming Zhang
Shuang Li
Chi Harold Liu
Yulin Wang
Wei Li
56
15
0
02 Aug 2022
FrOoDo: Framework for Out-of-Distribution Detection
FrOoDo: Framework for Out-of-Distribution Detection
J. Stieber
Moritz Fuchs
Anirban Mukhopadhyay
OODD
45
3
0
01 Aug 2022
XOOD: Extreme Value Based Out-Of-Distribution Detection For Image
  Classification
XOOD: Extreme Value Based Out-Of-Distribution Detection For Image Classification
Frej Berglind
Haron Temam
S. Mukhopadhyay
K. Das
Md Saiful Islam Sajol
K. Sricharan
Kumar Kallurupalli
OODD
23
0
0
01 Aug 2022
Out-of-Distribution Detection with Semantic Mismatch under Masking
Out-of-Distribution Detection with Semantic Mismatch under Masking
Yijun Yang
Ruiyuan Gao
Qiang Xu
OODD
82
28
0
31 Jul 2022
A Novel Data Augmentation Technique for Out-of-Distribution Sample
  Detection using Compounded Corruptions
A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection using Compounded Corruptions
R. Hebbalaguppe
Soumya Suvra Goshal
Jatin Prakash
H. Khadilkar
Chetan Arora
OODD
69
5
0
28 Jul 2022
Task Agnostic and Post-hoc Unseen Distribution Detection
Task Agnostic and Post-hoc Unseen Distribution Detection
Radhika Dua
Seong-sil Yang
Yixuan Li
Edward Choi
OODD
66
11
0
26 Jul 2022
Hierarchical Semi-Supervised Contrastive Learning for
  Contamination-Resistant Anomaly Detection
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection
Gaoang Wang
Yibing Zhan
Xinchao Wang
Min-Gyoo Song
Klara Nahrstedt
47
11
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 Clouds
A. Alliegro
Francesco Cappio Borlino
Tatiana Tommasi
3DPC3DV
105
8
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 Monitoring
Nandita Bhaskhar
D. Rubin
Christopher Lee-Messer
25
5
0
22 Jul 2022
Novel Class Discovery without Forgetting
Novel Class Discovery without Forgetting
K. J. Joseph
S. Paul
Gaurav Aggarwal
Soma Biswas
Piyush Rai
Kai Han
V. Balasubramanian
CLL
115
43
0
21 Jul 2022
Towards Accurate Open-Set Recognition via Background-Class
  Regularization
Towards Accurate Open-Set Recognition via Background-Class Regularization
Wonwoong Cho
Jaegul Choo
BDL
74
17
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 Geometry
Yawen Cui
Zitong Yu
Wei Peng
Li Liu
CLL
74
12
0
20 Jul 2022
Semantic Novelty Detection via Relational Reasoning
Semantic Novelty Detection via Relational Reasoning
Francesco Cappio Borlino
S. Bucci
Tatiana Tommasi
77
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
80
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
78
14
0
15 Jul 2022
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