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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
Improving the Efficiency of Human-in-the-Loop Systems: Adding Artificial
  to Human Experts
Improving the Efficiency of Human-in-the-Loop Systems: Adding Artificial to Human ExpertsWirtschaftsinformatik (WI), 2023
Johannes Jakubik
Daniel Weber
Patrick Hemmer
Michael Vossing
G. Satzger
314
9
0
06 Jul 2023
Training Energy-Based Models with Diffusion Contrastive Divergences
Training Energy-Based Models with Diffusion Contrastive Divergences
Weijian Luo
Hao Jiang
Tianyang Hu
Jiacheng Sun
Hao Sun
Zhihua Zhang
DiffM
299
8
0
04 Jul 2023
Robust Uncertainty Estimation for Classification of Maritime Objects
Robust Uncertainty Estimation for Classification of Maritime ObjectsIEEE International Conference on Robotics and Automation (ICRA), 2023
J. Becktor
Frederik E. T. Schöller
Evangelos Boukas
Lazaros Nalpantidis
UQCVOOD
223
3
0
03 Jul 2023
Image Background Serves as Good Proxy for Out-of-distribution Data
Image Background Serves as Good Proxy for Out-of-distribution DataInternational Conference on Learning Representations (ICLR), 2023
Sen Pei
270
3
0
02 Jul 2023
Exploration and Exploitation of Unlabeled Data for Open-Set
  Semi-Supervised Learning
Exploration and Exploitation of Unlabeled Data for Open-Set Semi-Supervised LearningInternational Journal of Computer Vision (IJCV), 2023
Ganlong Zhao
Guanbin Li
Yipeng Qin
Jinjin Zhang
Z. Chai
Xiaolin K. Wei
Guanbin Li
Yizhou Yu
149
5
0
30 Jun 2023
Beyond AUROC & co. for evaluating out-of-distribution detection
  performance
Beyond AUROC & co. for evaluating out-of-distribution detection performance
Galadrielle Humblot-Renaux
Sergio Escalera
T. Moeslund
OODD
196
9
0
26 Jun 2023
A Cosine Similarity-based Method for Out-of-Distribution Detection
A Cosine Similarity-based Method for Out-of-Distribution Detection
Nguyen Ngoc-Hieu
Nguyen Hung-Quang
The-Anh Ta
Thanh Nguyen-Tang
Khoa D. Doan
Hoang Thanh-Tung
OODD
87
3
0
23 Jun 2023
Balanced Energy Regularization Loss for Out-of-distribution Detection
Balanced Energy Regularization Loss for Out-of-distribution DetectionComputer Vision and Pattern Recognition (CVPR), 2023
Hyunjun Choi
Hawook Jeong
Hawook Jeong
OODD
290
21
0
18 Jun 2023
Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection
Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and DetectionInternational Conference on Machine Learning (ICML), 2023
Haoyue Bai
Gregory H. Canal
Xuefeng Du
Jeongyeol Kwon
Robert D. Nowak
Shouqing Yang
OODD
311
61
0
15 Jun 2023
Improving Selective Visual Question Answering by Learning from Your
  Peers
Improving Selective Visual Question Answering by Learning from Your PeersComputer Vision and Pattern Recognition (CVPR), 2023
Corentin Dancette
Spencer Whitehead
Rishabh Maheshwary
Ramakrishna Vedantam
Stefan Scherer
Xinlei Chen
Matthieu Cord
Marcus Rohrbach
AAMLOOD
222
24
0
14 Jun 2023
Distribution Shift Inversion for Out-of-Distribution Prediction
Distribution Shift Inversion for Out-of-Distribution PredictionComputer Vision and Pattern Recognition (CVPR), 2023
Runpeng Yu
Songhua Liu
Xingyi Yang
Xinchao Wang
OODD
187
26
0
14 Jun 2023
How Does Fine-Tuning Impact Out-of-Distribution Detection for
  Vision-Language Models?
How Does Fine-Tuning Impact Out-of-Distribution Detection for Vision-Language Models?International Journal of Computer Vision (IJCV), 2023
Yifei Ming
Shouqing Yang
OODDVLM
291
54
0
09 Jun 2023
Conservative Prediction via Data-Driven Confidence Minimization
Conservative Prediction via Data-Driven Confidence Minimization
Caroline Choi
Fahim Tajwar
Yoonho Lee
Huaxiu Yao
Ananya Kumar
Chelsea Finn
157
7
0
08 Jun 2023
Open Set Relation Extraction via Unknown-Aware Training
Open Set Relation Extraction via Unknown-Aware TrainingAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Jun Zhao
Xin Zhao
Wenyu Zhan
Tao Gui
Tao Gui
Zhongyu Wei
Yunwen Chen
Yantao Du
Xuanjing Huang
146
6
0
08 Jun 2023
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection
  Capability
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection CapabilityInternational Conference on Machine Learning (ICML), 2023
Jianing Zhu
Hengzhuang Li
Jiangchao Yao
Tongliang Liu
Jianliang Xu
Bo Han
OODD
208
18
0
06 Jun 2023
A Functional Data Perspective and Baseline On Multi-Layer
  Out-of-Distribution Detection
A Functional Data Perspective and Baseline On Multi-Layer Out-of-Distribution Detection
Eduardo Dadalto Camara Gomes
Pierre Colombo
Guillaume Staerman
Nathan Noiry
Pablo Piantanida
OODD
553
2
0
06 Jun 2023
Neuron Activation Coverage: Rethinking Out-of-distribution Detection and
  Generalization
Neuron Activation Coverage: Rethinking Out-of-distribution Detection and GeneralizationInternational Conference on Learning Representations (ICLR), 2023
Zichen Liu
Chris Xing Tian
Haoliang Li
Lei Ma
Shiqi Wang
UQCV
322
24
0
05 Jun 2023
Provable Dynamic Fusion for Low-Quality Multimodal Data
Provable Dynamic Fusion for Low-Quality Multimodal DataInternational Conference on Machine Learning (ICML), 2023
Qingyang Zhang
Haitao Wu
Changqing Zhang
Qinghua Hu
Huazhu Fu
Qiufeng Wang
Xi Peng
325
106
0
03 Jun 2023
DOS: Diverse Outlier Sampling for Out-of-Distribution Detection
DOS: Diverse Outlier Sampling for Out-of-Distribution DetectionInternational Conference on Learning Representations (ICLR), 2023
Wenyu Jiang
Hao Cheng
Mingcai Chen
Chongjun Wang
Jianguo Huang
OODOODD
413
11
0
03 Jun 2023
LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning
LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt LearningNeural Information Processing Systems (NeurIPS), 2023
Atsuyuki Miyai
Qing Yu
Go Irie
Kiyoharu Aizawa
OODD
436
117
0
02 Jun 2023
In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation
In or Out? Fixing ImageNet Out-of-Distribution Detection EvaluationInternational Conference on Machine Learning (ICML), 2023
Julian Bitterwolf
Maximilian Müller
Matthias Hein
OODD
285
124
0
01 Jun 2023
Anomaly Detection with Variance Stabilized Density Estimation
Anomaly Detection with Variance Stabilized Density EstimationConference on Uncertainty in Artificial Intelligence (UAI), 2023
Amit Rozner
Barak Battash
Henry Li
Lior Wolf
Ofir Lindenbaum
234
5
0
01 Jun 2023
Semantic Role Labeling Guided Out-of-distribution Detection
Semantic Role Labeling Guided Out-of-distribution DetectionInternational Conference on Language Resources and Evaluation (LREC), 2023
Jinan Zou
Maihao Guo
Yu Tian
Yuhao Lin
Hai Cao
Lingqiao Liu
Ehsan Abbasnejad
Javen Qinfeng Shi
OODD
242
1
0
29 May 2023
T2FNorm: Extremely Simple Scaled Train-time Feature Normalization for
  OOD Detection
T2FNorm: Extremely Simple Scaled Train-time Feature Normalization for OOD Detection
Sudarshan Regmi
Bibek Panthi
S. Dotel
P. Gyawali
Danail Stoynov
Binod Bhattarai
OODD
164
4
0
28 May 2023
GVdoc: Graph-based Visual Document Classification
GVdoc: Graph-based Visual Document Classification
Fnu Mohbat
Mohammed J Zaki
Catherine Finegan-Dollak
Ashish Verma
OOD
193
2
0
26 May 2023
Building One-class Detector for Anything: Open-vocabulary Zero-shot OOD
  Detection Using Text-image Models
Building One-class Detector for Anything: Open-vocabulary Zero-shot OOD Detection Using Text-image Models
Yunhao Ge
Jie Jessie Ren
Jiaping Zhao
Kaifeng Chen
Andrew Gallagher
Laurent Itti
Balaji Lakshminarayanan
VLMObjD
190
1
0
26 May 2023
Maskomaly:Zero-Shot Mask Anomaly Segmentation
Maskomaly:Zero-Shot Mask Anomaly SegmentationBritish Machine Vision Conference (BMVC), 2023
J. Ackermann
Daniel Gehrig
Feng Yu
ISeg
375
36
0
26 May 2023
Hybrid Energy Based Model in the Feature Space for Out-of-Distribution
  Detection
Hybrid Energy Based Model in the Feature Space for Out-of-Distribution DetectionInternational Conference on Machine Learning (ICML), 2023
Marc Lafon
Elias Ramzi
Clément Rambour
Nicolas Thome
OODD
462
13
0
26 May 2023
Energy-based Detection of Adverse Weather Effects in LiDAR Data
Energy-based Detection of Adverse Weather Effects in LiDAR DataIEEE Robotics and Automation Letters (RA-L), 2023
Aldi Piroli
Vinzenz Dallabetta
Johannes Kopp
M. Walessa
D. Meissner
Klaus C. J. Dietmayer
260
22
0
25 May 2023
How to Fix a Broken Confidence Estimator: Evaluating Post-hoc Methods
  for Selective Classification with Deep Neural Networks
How to Fix a Broken Confidence Estimator: Evaluating Post-hoc Methods for Selective Classification with Deep Neural NetworksConference on Uncertainty in Artificial Intelligence (UAI), 2023
L. F. P. Cattelan
Danilo Silva
UQCV
418
9
0
24 May 2023
Gaussian Latent Representations for Uncertainty Estimation using
  Mahalanobis Distance in Deep Classifiers
Gaussian Latent Representations for Uncertainty Estimation using Mahalanobis Distance in Deep Classifiers
A. Venkataramanan
Assia Benbihi
Martin Laviale
C´edric Pradalier
UQCV
219
15
0
23 May 2023
Online Open-set Semi-supervised Object Detection with Dual Competing
  Head
Online Open-set Semi-supervised Object Detection with Dual Competing Head
Zerun Wang
Ling Xiao
Liuyu Xiang
Zhaotian Weng
Toshihiko Yamasaki
264
0
0
23 May 2023
Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for
  Out-of-Domain Detection
Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain DetectionAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Rheeya Uppaal
Junjie Hu
Shouqing Yang
OODD
344
43
0
22 May 2023
A Survey of Safety and Trustworthiness of Large Language Models through
  the Lens of Verification and Validation
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and ValidationArtificial Intelligence Review (AIR), 2023
Xiaowei Huang
Wenjie Ruan
Wei Huang
Gao Jin
Yizhen Dong
...
Sihao Wu
Peipei Xu
Dengyu Wu
André Freitas
Mustafa A. Mustafa
ALM
351
146
0
19 May 2023
Concurrent Misclassification and Out-of-Distribution Detection for
  Semantic Segmentation via Energy-Based Normalizing Flow
Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing FlowConference on Uncertainty in Artificial Intelligence (UAI), 2023
Denis A. Gudovskiy
Tomoyuki Okuno
Yohei Nakata
230
10
0
16 May 2023
Monitoring and Adapting ML Models on Mobile Devices
Monitoring and Adapting ML Models on Mobile DevicesInternational Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2023
Wei Hao
Zixi Wang
Lauren Hong
Lingxi Li
Nader Karayanni
Chengzhi Mao
Junfeng Yang
Asaf Cidon
OffRL
171
6
0
12 May 2023
Simple Token-Level Confidence Improves Caption Correctness
Simple Token-Level Confidence Improves Caption CorrectnessIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Suzanne Petryk
Spencer Whitehead
Joseph E. Gonzalez
Trevor Darrell
Anna Rohrbach
Marcus Rohrbach
244
10
0
11 May 2023
Maintaining Stability and Plasticity for Predictive Churn Reduction
Maintaining Stability and Plasticity for Predictive Churn Reduction
George Adam
B. Haibe-Kains
Anna Goldenberg
211
1
0
06 May 2023
Out-of-Domain Intent Detection Considering Multi-Turn Dialogue Contexts
Out-of-Domain Intent Detection Considering Multi-Turn Dialogue ContextsInternational Conference on Language Resources and Evaluation (LREC), 2023
Hao Lang
Yinhe Zheng
Binyuan Hui
Fei Huang
Yongbin Li
212
5
0
05 May 2023
A Survey on Out-of-Distribution Detection in NLP
A Survey on Out-of-Distribution Detection in NLP
Hao Lang
Yinhe Zheng
Shouqing Yang
Jian Sun
Feiling Huang
Yongbin Li
327
36
0
05 May 2023
Out-of-distribution detection algorithms for robust insect
  classification
Out-of-distribution detection algorithms for robust insect classificationPlant Phenomics (PP), 2023
M. Saadati
Prithviraj Ammanabrolu
Shivani Chiranjeevi
Talukder Zaki Jubery
Mark O. Riedl
Soumik Sarkar
Arti Singh
Baskar Ganapathysubramanian
OODD
174
15
0
02 May 2023
Great Models Think Alike: Improving Model Reliability via Inter-Model
  Latent Agreement
Great Models Think Alike: Improving Model Reliability via Inter-Model Latent AgreementInternational Conference on Machine Learning (ICML), 2023
Ailin Deng
Miao Xiong
Bryan Hooi
357
9
0
02 May 2023
Personalized Federated Learning under Mixture of Distributions
Personalized Federated Learning under Mixture of DistributionsInternational Conference on Machine Learning (ICML), 2023
Yue Wu
Shuaicheng Zhang
Wenchao Yu
Yanchi Liu
Quanquan Gu
Dawei Zhou
Haifeng Chen
Wei Cheng
FedML
253
65
0
01 May 2023
K-means Clustering Based Feature Consistency Alignment for Label-free
  Model Evaluation
K-means Clustering Based Feature Consistency Alignment for Label-free Model Evaluation
Shuyu Miao
Lin Zheng
Qingbin Liu
and Hong Jin
201
8
0
17 Apr 2023
Unified Out-Of-Distribution Detection: A Model-Specific Perspective
Unified Out-Of-Distribution Detection: A Model-Specific PerspectiveIEEE International Conference on Computer Vision (ICCV), 2023
Reza Averly
Wei-Lun Chao
OODD
234
16
0
13 Apr 2023
In-Distribution and Out-of-Distribution Self-supervised ECG
  Representation Learning for Arrhythmia Detection
In-Distribution and Out-of-Distribution Self-supervised ECG Representation Learning for Arrhythmia DetectionIEEE journal of biomedical and health informatics (IEEE JBHI), 2023
S. Soltanieh
J. Hashemi
Ali Etemad
243
24
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13 Apr 2023
Re-Weighted Softmax Cross-Entropy to Control Forgetting in Federated
  Learning
Re-Weighted Softmax Cross-Entropy to Control Forgetting in Federated Learning
G. Legate
Lucas Caccia
Eugene Belilovsky
FedML
210
14
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11 Apr 2023
Open Set Classification of GAN-based Image Manipulations via a ViT-based
  Hybrid Architecture
Open Set Classification of GAN-based Image Manipulations via a ViT-based Hybrid Architecture
Jun Wang
Omran Alamayreh
B. Tondi
Mauro Barni
CVBM
243
10
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Homogenizing Non-IID datasets via In-Distribution Knowledge Distillation
  for Decentralized Learning
Homogenizing Non-IID datasets via In-Distribution Knowledge Distillation for Decentralized Learning
Deepak Ravikumar
Gobinda Saha
Sai Aparna Aketi
Kaushik Roy
230
5
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Exploring the Connection between Robust and Generative Models
Exploring the Connection between Robust and Generative Models
Senad Beadini
I. Masi
AAML
350
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