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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
Watermarking for Out-of-distribution Detection
Watermarking for Out-of-distribution DetectionNeural Information Processing Systems (NeurIPS), 2022
Qizhou Wang
Yifan Zhang
Yonggang Zhang
Jing Zhang
Chen Gong
Tongliang Liu
Bo Han
OODD
170
36
0
27 Oct 2022
Is Out-of-Distribution Detection Learnable?
Is Out-of-Distribution Detection Learnable?Neural Information Processing Systems (NeurIPS), 2022
Zhen Fang
Shouqing Yang
Jie Lu
Jiahua Dong
Bo Han
Yifan Zhang
OODD
373
164
0
26 Oct 2022
Augmentation by Counterfactual Explanation -- Fixing an Overconfident
  Classifier
Augmentation by Counterfactual Explanation -- Fixing an Overconfident ClassifierIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Sumedha Singla
Nihal Murali
Forough Arabshahi
Sofia Triantafyllou
Kayhan Batmanghelich
CML
217
6
0
21 Oct 2022
Enhancing Out-of-Distribution Detection in Natural Language
  Understanding via Implicit Layer Ensemble
Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer EnsembleConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Hyunsoo Cho
Choonghyun Park
Jaewoo Kang
Kang Min Yoo
Taeuk Kim
Sang-goo Lee
OODD
228
10
0
20 Oct 2022
Uncertainty in Extreme Multi-label Classification
Uncertainty in Extreme Multi-label Classification
Jyun-Yu Jiang
Wei-Cheng Chang
Jiong Zhong
Cho-Jui Hsieh
Hsiang-Fu Yu
UQCV
257
0
0
18 Oct 2022
Towards Fair Classification against Poisoning Attacks
Towards Fair Classification against Poisoning Attacks
Han Xu
Xiaorui Liu
Yuxuan Wan
Shucheng Zhou
150
2
0
18 Oct 2022
Towards Generating Adversarial Examples on Mixed-type Data
Towards Generating Adversarial Examples on Mixed-type Data
Han Xu
Menghai Pan
Zhimeng Jiang
Huiyuan Chen
Xiaoting Li
Mahashweta Das
Hao Yang
AAMLSILM
199
1
0
17 Oct 2022
Disentangling Confidence Score Distribution for Out-of-Domain Intent
  Detection with Energy-Based Learning
Disentangling Confidence Score Distribution for Out-of-Domain Intent Detection with Energy-Based Learning
Yanan Wu
Zhiyuan Zeng
Keqing He
Yutao Mou
Pei Wang
Yuanmeng Yan
Weiran Xu
OODD
161
4
0
17 Oct 2022
Handling Label Uncertainty for Camera Incremental Person
  Re-Identification
Handling Label Uncertainty for Camera Incremental Person Re-IdentificationACM Multimedia (ACM MM), 2022
Zexi Yang
Dayan Wu
Wanqian Zhang
Bo Li
Weiping Wang
344
12
0
17 Oct 2022
Holistic Sentence Embeddings for Better Out-of-Distribution Detection
Holistic Sentence Embeddings for Better Out-of-Distribution DetectionConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Sishuo Chen
Xiaohan Bi
Rundong Gao
Xu Sun
OODD
155
6
0
14 Oct 2022
Evaluating Out-of-Distribution Performance on Document Image Classifiers
Evaluating Out-of-Distribution Performance on Document Image ClassifiersNeural Information Processing Systems (NeurIPS), 2022
Stefan Larson
Gordon Lim
Yutong Ai
David Kuang
Kevin Leach
OODDOOD
287
21
0
14 Oct 2022
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection
OpenOOD: Benchmarking Generalized Out-of-Distribution DetectionNeural Information Processing Systems (NeurIPS), 2022
Jingkang Yang
Pengyun Wang
Dejian Zou
Zitang Zhou
Kun Ding
...
Kaiyang Zhou
Wayne Zhang
Dan Hendrycks
Shouqing Yang
Ziwei Liu
OODD
274
317
0
13 Oct 2022
The Open-World Lottery Ticket Hypothesis for OOD Intent Classification
The Open-World Lottery Ticket Hypothesis for OOD Intent ClassificationInternational Conference on Language Resources and Evaluation (LREC), 2022
Yunhua Zhou
Pengyu Wang
Peiju Liu
Yuxin Wang
Xipeng Qiu
324
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 ClassesAAAI Conference on Artificial Intelligence (AAAI), 2022
Yifang Sun
Wei Wang
OODD
100
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 LearningNeural Information Processing Systems (NeurIPS), 2022
Dongmin Park
Yooju Shin
Jihwan Bang
Youngjune Lee
Hwanjun Song
Jae-Gil Lee
463
31
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 SystemsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Neeraj Varshney
Chitta Baral
180
37
0
11 Oct 2022
Towards Understanding and Boosting Adversarial Transferability from a
  Distribution Perspective
Towards Understanding and Boosting Adversarial Transferability from a Distribution PerspectiveIEEE Transactions on Image Processing (IEEE TIP), 2022
Yao Zhu
YueFeng Chen
Xiaodan Li
Kejiang Chen
Yuan He
Xiang Tian
Bo Zheng
Yao-wu Chen
Qingming Huang
AAML
171
69
0
09 Oct 2022
Boosting Out-of-distribution Detection with Typical Features
Boosting Out-of-distribution Detection with Typical FeaturesNeural Information Processing Systems (NeurIPS), 2022
Yao Zhu
YueFeng Chen
Chuanlong Xie
Xiaodan Li
Rong Zhang
Hui Xue
Xiang Tian
Bolun Zheng
Yao-wu Chen
OODD
278
67
0
09 Oct 2022
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation ModelsNeural Information Processing Systems (NeurIPS), 2022
Chen Liang
Wenguan Wang
Jiaxu Miao
Yi Yang
VLM
259
157
0
05 Oct 2022
GAPX: Generalized Autoregressive Paraphrase-Identification X
GAPX: Generalized Autoregressive Paraphrase-Identification XNeural Information Processing Systems (NeurIPS), 2022
Yi Zhou
Renyu Li
Hayden Housen
Ser-Nam Lim
BDL
188
1
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 ModelsInternational Conference on Learning Representations (ICLR), 2022
Jie Jessie Ren
Jiaming Luo
Yao-Min Zhao
Kundan Krishna
Mohammad Saleh
Balaji Lakshminarayanan
Peter J. Liu
OODD
347
159
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
113
2
0
30 Sep 2022
Your Out-of-Distribution Detection Method is Not Robust!
Your Out-of-Distribution Detection Method is Not Robust!Neural Information Processing Systems (NeurIPS), 2022
Mohammad Azizmalayeri
Arshia Soltani Moakhar
Arman Zarei
Reihaneh Zohrabi
M. T. Manzuri
M. Rohban
OODD
279
22
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
218
7
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
140
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
Juil Sock
P. Dokania
Ser-Nam Lim
OODD
194
6
0
24 Sep 2022
Extremely Simple Activation Shaping for Out-of-Distribution Detection
Extremely Simple Activation Shaping for Out-of-Distribution DetectionInternational Conference on Learning Representations (ICLR), 2022
Andrija Djurisic
Nebojsa Bozanic
Arjun Ashok
Rosanne Liu
OODD
410
201
0
20 Sep 2022
RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection
RankFeat: Rank-1 Feature Removal for Out-of-distribution DetectionNeural Information Processing Systems (NeurIPS), 2022
Yue Song
Andrii Zadaianchuk
Wei Wang
OODD
245
68
0
18 Sep 2022
Towards Bridging the Performance Gaps of Joint Energy-based Models
Towards Bridging the Performance Gaps of Joint Energy-based ModelsComputer Vision and Pattern Recognition (CVPR), 2022
Xiulong Yang
Qing Su
Shihao Ji
VLM
290
18
0
16 Sep 2022
Topological Structure Learning for Weakly-Supervised Out-of-Distribution
  Detection
Topological Structure Learning for Weakly-Supervised Out-of-Distribution DetectionACM Multimedia (ACM MM), 2022
Rundong He
Rong Li
Zhongyi Han
Yilong Yin
181
6
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
Xue Yang
Yiran Chen
OODD
292
11
0
09 Sep 2022
SAFE: Sensitivity-Aware Features for Out-of-Distribution Object
  Detection
SAFE: Sensitivity-Aware Features for Out-of-Distribution Object DetectionIEEE International Conference on Computer Vision (ICCV), 2022
Samuel Wilson
Tobias Fischer
Feras Dayoub
Dimity Miller
Niko Sünderhauf
OODD
477
43
0
29 Aug 2022
Open-Set Semi-Supervised Object Detection
Open-Set Semi-Supervised Object DetectionEuropean Conference on Computer Vision (ECCV), 2022
Yen-Cheng Liu
Chih-Yao Ma
Xiaoliang Dai
Junjiao Tian
Peter Vajda
Zijian He
Z. Kira
145
30
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
131
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
90
8
0
24 Aug 2022
Tunable Hybrid Proposal Networks for the Open World
Tunable Hybrid Proposal Networks for the Open WorldIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Matthew J. Inkawhich
Nathan Inkawhich
Xue Yang
Yiran Chen
332
2
0
23 Aug 2022
The Value of Out-of-Distribution Data
The Value of Out-of-Distribution DataInternational Conference on Machine Learning (ICML), 2022
Ashwin De Silva
Rahul Ramesh
Carey E. Priebe
Pratik Chaudhari
Joshua T. Vogelstein
OODD
348
16
0
23 Aug 2022
Semantic Driven Energy based Out-of-Distribution Detection
Semantic Driven Energy based Out-of-Distribution DetectionIEEE International Joint Conference on Neural Network (IJCNN), 2022
Abhishek Joshi
Sathish Chalasani
K. N. Iyer
OODD
133
4
0
23 Aug 2022
Labeling Chaos to Learning Harmony: Federated Learning with Noisy Labels
Labeling Chaos to Learning Harmony: Federated Learning with Noisy LabelsACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022
Vasileios Tsouvalas
Aaqib Saeed
T. Ozcelebi
N. Meratnia
FedML
211
19
0
19 Aug 2022
Out-of-distribution Detection via Frequency-regularized Generative
  Models
Out-of-distribution Detection via Frequency-regularized Generative ModelsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Mu Cai
Shouqing Yang
OODD
93
36
0
18 Aug 2022
Open Long-Tailed Recognition in a Dynamic World
Open Long-Tailed Recognition in a Dynamic WorldIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Ziwei Liu
Zhongqi Miao
Xiaohang Zhan
Jiayun Wang
Boqing Gong
Stella X. Yu
VLM
193
37
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
261
62
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
192
53
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
157
2
0
04 Aug 2022
OpenCon: Open-world Contrastive Learning
OpenCon: Open-world Contrastive Learning
Yiyou Sun
Shouqing Yang
VLMSSLDRL
323
51
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 AdaptationACM Multimedia (ACM MM), 2022
Wen-hui Ma
Jinming Zhang
Shuang Li
Chi Harold Liu
Yulin Wang
Wei Li
141
18
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
109
4
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
81
1
0
01 Aug 2022
Out-of-Distribution Detection with Semantic Mismatch under Masking
Out-of-Distribution Detection with Semantic Mismatch under MaskingEuropean Conference on Computer Vision (ECCV), 2022
Yijun Yang
Ruiyuan Gao
Qiang Xu
OODD
185
37
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
204
8
0
28 Jul 2022
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