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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
Zero-Shot Out-of-Distribution Detection with Outlier Label Exposure
Zero-Shot Out-of-Distribution Detection with Outlier Label Exposure
Choubo Ding
Guansong Pang
OODDVLM
245
6
0
03 Jun 2024
Envisioning Outlier Exposure by Large Language Models for
  Out-of-Distribution Detection
Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection
Chentao Cao
Zhun Zhong
Zhanke Zhou
Yang Liu
Tongliang Liu
Bo Han
OODD
234
24
0
02 Jun 2024
On the Use of Anchoring for Training Vision Models
On the Use of Anchoring for Training Vision Models
V. Narayanaswamy
Kowshik Thopalli
Rushil Anirudh
Yamen Mubarka
W. Sakla
Jayaraman J. Thiagarajan
337
1
0
01 Jun 2024
Out-of-distribution Reject Option Method for Dataset Shift Problem in Early Disease Onset Prediction
Out-of-distribution Reject Option Method for Dataset Shift Problem in Early Disease Onset Prediction
Taisei Tosaki
Eiichiro Uchino
Ryosuke Kojima
Y. Mineharu
Yuji Okamoto
...
Yoshinori Tamada
Tatsuya Mikami
K. Murashita
Shigeyuki Nakaji
Yasushi Okuno
OOD
163
1
0
30 May 2024
When and How Does In-Distribution Label Help Out-of-Distribution
  Detection?
When and How Does In-Distribution Label Help Out-of-Distribution Detection?
Xuefeng Du
Yiyou Sun
Shouqing Yang
303
10
0
28 May 2024
Evaluating Bayesian deep learning for radio galaxy classification
Evaluating Bayesian deep learning for radio galaxy classification
Devina Mohan
Anna M. M. Scaife
UQCVBDL
361
4
0
28 May 2024
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection
Yingwen Wu
Ruiji Yu
Xinwen Cheng
Zhengbao He
Xiaolin Huang
OODD
329
7
0
28 May 2024
MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities
MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities
Hao Dong
Yue Zhao
Eleni Chatzi
Olga Fink
OODD
218
25
0
27 May 2024
WeiPer: OOD Detection using Weight Perturbations of Class Projections
WeiPer: OOD Detection using Weight Perturbations of Class Projections
Maximilian Granz
Manuel Heurich
Tim Landgraf
OODD
322
3
0
27 May 2024
Dynamics Models in the Aggressive Off-Road Driving Regime
Dynamics Models in the Aggressive Off-Road Driving Regime
Tyler Han
Sidharth Talia
Rohan Panicker
Preet Shah
Neel Jawale
Byron Boots
193
5
0
26 May 2024
CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD
  Generalization and Open-Set OOD Detection
CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection
Lin Zhu
Yifeng Yang
Qinying Gu
Xinbing Wang
Cheng Zhou
Nanyang Ye
VLM
258
10
0
26 May 2024
Transitional Uncertainty with Layered Intermediate Predictions
Transitional Uncertainty with Layered Intermediate Predictions
Ryan Benkert
Mohit Prabhushankar
Ghassan AlRegib
298
3
0
25 May 2024
Enhancing Near OOD Detection in Prompt Learning: Maximum Gains, Minimal
  Costs
Enhancing Near OOD Detection in Prompt Learning: Maximum Gains, Minimal Costs
M. Jung
He Zhao
Joanna Dipnall
Lan Du
Lan Du
VLMOODD
270
3
0
25 May 2024
CLIPScope: Enhancing Zero-Shot OOD Detection with Bayesian Scoring
CLIPScope: Enhancing Zero-Shot OOD Detection with Bayesian ScoringIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Hao Fu
Naman Patel
Prashanth Krishnamurthy
Farshad Khorrami
OODD
224
9
0
23 May 2024
Trajectory Volatility for Out-of-Distribution Detection in Mathematical
  Reasoning
Trajectory Volatility for Out-of-Distribution Detection in Mathematical ReasoningNeural Information Processing Systems (NeurIPS), 2024
Yiming Wang
Pei Zhang
Baosong Yang
Yang Li
Zhuosheng Zhang
Rui Wang
OODD
240
1
0
22 May 2024
Adapting Multi-modal Large Language Model to Concept Drift From Pre-training Onwards
Adapting Multi-modal Large Language Model to Concept Drift From Pre-training Onwards
Xiaoyu Yang
Jie Lu
Enshui Yu
VLM
388
1
0
22 May 2024
Mitigating Overconfidence in Out-of-Distribution Detection by Capturing
  Extreme Activations
Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations
Mohammad Azizmalayeri
Ameen Abu-Hanna
Giovanni Cina
OODD
234
4
0
21 May 2024
How to train your ViT for OOD Detection
How to train your ViT for OOD Detection
Maximilian Mueller
Matthias Hein
306
2
0
21 May 2024
BOSC: A Backdoor-based Framework for Open Set Synthetic Image Attribution
BOSC: A Backdoor-based Framework for Open Set Synthetic Image AttributionIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2024
Jun Wang
B. Tondi
Mauro Barni
DiffM
416
5
0
19 May 2024
A Unified Approach Towards Active Learning and Out-of-Distribution Detection
A Unified Approach Towards Active Learning and Out-of-Distribution Detection
Sebastian Schmidt
Leonard Schenk
Leo Schwinn
Stephan Günnemann
470
6
0
18 May 2024
Monitizer: Automating Design and Evaluation of Neural Network Monitors
Monitizer: Automating Design and Evaluation of Neural Network MonitorsInternational Conference on Computer Aided Verification (CAV), 2024
Muqsit Azeem
Marta Grobelna
Sudeep Kanav
Jan Křetínský
Stefanie Mohr
Sabine Rieder
225
2
0
16 May 2024
Energy-based Hopfield Boosting for Out-of-Distribution Detection
Energy-based Hopfield Boosting for Out-of-Distribution DetectionNeural Information Processing Systems (NeurIPS), 2024
Claus Hofmann
Simon Schmid
Bernhard Lehner
Daniel Klotz
Sepp Hochreiter
OODD
404
12
0
14 May 2024
Can we Defend Against the Unknown? An Empirical Study About Threshold
  Selection for Neural Network Monitoring
Can we Defend Against the Unknown? An Empirical Study About Threshold Selection for Neural Network MonitoringConference on Uncertainty in Artificial Intelligence (UAI), 2024
Khoi Tran Dang
Kevin Delmas
Jérémie Guiochet
Joris Guérin
341
1
0
14 May 2024
Selective Classification Under Distribution Shifts
Selective Classification Under Distribution Shifts
Hengyue Liang
Le Peng
Ju Sun
UQCV
371
5
0
08 May 2024
Multi-Label Out-of-Distribution Detection with Spectral Normalized Joint
  Energy
Multi-Label Out-of-Distribution Detection with Spectral Normalized Joint Energy
Yihan Mei
Xinyu Wang
De-Fu Zhang
Xiaoling Wang
OODD
291
5
0
08 May 2024
Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers
Tilt your Head: Activating the Hidden Spatial-Invariance of ClassifiersInternational Conference on Machine Learning (ICML), 2024
Johann Schmidt
Sebastian Stober
299
4
0
06 May 2024
Tree-based Ensemble Learning for Out-of-distribution Detection
Tree-based Ensemble Learning for Out-of-distribution Detection
Zhaiming Shen
Menglun Wang
Guang Cheng
Ming-Jun Lai
Lin Mu
Ruihao Huang
Qi Liu
Hao Zhu
OODD
160
1
0
05 May 2024
A View on Out-of-Distribution Identification from a Statistical Testing
  Theory Perspective
A View on Out-of-Distribution Identification from a Statistical Testing Theory Perspective
Alberto Caron
Chris Hicks
V. Mavroudis
OODD
491
2
0
05 May 2024
Out-of-distribution detection based on subspace projection of
  high-dimensional features output by the last convolutional layer
Out-of-distribution detection based on subspace projection of high-dimensional features output by the last convolutional layer
Qiuyu Zhu
Yiwei He
OODD
215
2
0
02 May 2024
Uncertainty for Active Learning on Graphs
Uncertainty for Active Learning on Graphs
Dominik Fuchsgruber
Tom Wollschlager
Bertrand Charpentier
Antonio Oroz
Stephan Günnemann
721
17
0
02 May 2024
Deep Metric Learning-Based Out-of-Distribution Detection with Synthetic
  Outlier Exposure
Deep Metric Learning-Based Out-of-Distribution Detection with Synthetic Outlier Exposure
Assefa Seyoum Wahd
302
0
0
01 May 2024
Out-of-distribution Detection in Medical Image Analysis: A survey
Out-of-distribution Detection in Medical Image Analysis: A survey
Zesheng Hong
Yubiao Yue
Yubin Chen
Lele Cong
Huanjie Lin
...
Jialong Xu
Xiaoqi Yang
Hechang Chen
Zhenzhang Li
Sihong Xie
OOD
221
15
0
28 Apr 2024
Random Walk on Pixel Manifolds for Anomaly Segmentation of Complex
  Driving Scenes
Random Walk on Pixel Manifolds for Anomaly Segmentation of Complex Driving Scenes
Zelong Zeng
Kaname Tomite
284
1
0
27 Apr 2024
Taming False Positives in Out-of-Distribution Detection with Human
  Feedback
Taming False Positives in Out-of-Distribution Detection with Human Feedback
Harit Vishwakarma
Heguang Lin
Ramya Korlakai Vinayak
OODD
271
9
0
25 Apr 2024
Unexplored Faces of Robustness and Out-of-Distribution: Covariate Shifts
  in Environment and Sensor Domains
Unexplored Faces of Robustness and Out-of-Distribution: Covariate Shifts in Environment and Sensor Domains
Eunsu Baek
Keondo Park
Jiyoon Kim
Hyung-Sin Kim
OODDOOD
393
12
0
24 Apr 2024
Revisiting Out-of-Distribution Detection in LiDAR-based 3D Object
  Detection
Revisiting Out-of-Distribution Detection in LiDAR-based 3D Object Detection
Michael Kösel
M. Schreiber
Michael Ulrich
Claudius Gläser
Klaus C. J. Dietmayer
OODD3DPC
233
7
0
24 Apr 2024
Adaptive Prompt Learning with Negative Textual Semantics and Uncertainty
  Modeling for Universal Multi-Source Domain Adaptation
Adaptive Prompt Learning with Negative Textual Semantics and Uncertainty Modeling for Universal Multi-Source Domain Adaptation
Yuxiang Yang
L. Wen
Yuanyuan Xu
Jiliu Zhou
Yan Wang
VLM
338
2
0
23 Apr 2024
A Survey on Speech Deepfake Detection
A Survey on Speech Deepfake Detection
Menglu Li
Yasaman Ahmadiadli
Xiao-Ping Zhang
382
25
0
22 Apr 2024
A Hybrid Generative and Discriminative PointNet on Unordered Point Sets
A Hybrid Generative and Discriminative PointNet on Unordered Point Sets
Yang Ye
Shihao Ji
PINN3DPC
239
1
0
19 Apr 2024
Detecting Out-Of-Distribution Earth Observation Images with Diffusion
  Models
Detecting Out-Of-Distribution Earth Observation Images with Diffusion Models
Georges Le Bellier
Nicolas Audebert
272
11
0
19 Apr 2024
QUTE: Quantifying Uncertainty in TinyML models with Early-exit-assisted
  ensembles
QUTE: Quantifying Uncertainty in TinyML models with Early-exit-assisted ensembles
N. Ghanathe
Steve Wilton
UQCV
202
0
0
19 Apr 2024
Gradient-Regularized Out-of-Distribution Detection
Gradient-Regularized Out-of-Distribution Detection
Sina Sharifi
Taha Entesari
Bardia Safaei
Vishal M. Patel
Mahyar Fazlyab
OODD
321
12
0
18 Apr 2024
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference
Jiayi Huang
Sangwoo Park
Osvaldo Simeone
620
6
0
17 Apr 2024
Uncertainty-Based Abstention in LLMs Improves Safety and Reduces
  Hallucinations
Uncertainty-Based Abstention in LLMs Improves Safety and Reduces Hallucinations
Christian Tomani
Kamalika Chaudhuri
Ivan Evtimov
Daniel Cremers
Mark Ibrahim
167
34
0
16 Apr 2024
OSR-ViT: A Simple and Modular Framework for Open-Set Object Detection
  and Discovery
OSR-ViT: A Simple and Modular Framework for Open-Set Object Detection and Discovery
Matthew J. Inkawhich
Nathan Inkawhich
Hao Yang
Jingyang Zhang
Randolph Linderman
Yiran Chen
ObjD
236
1
0
16 Apr 2024
Toward a Realistic Benchmark for Out-of-Distribution Detection
Toward a Realistic Benchmark for Out-of-Distribution Detection
Pietro Recalcati
Fabio Garcea
Luca Piano
Fabrizio Lamberti
Lia Morra
OODD
294
1
0
16 Apr 2024
AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning
AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning
Yuwei Tang
Zhenyi Lin
Qilong Wang
Q. Hu
Qinghua Hu
204
24
0
13 Apr 2024
Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path
  Forward
Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path Forward
Xuan Xie
Yuheng Huang
Zhehua Zhou
Yuheng Huang
Da Song
Lei Ma
OffRL
385
12
0
12 Apr 2024
Combining Statistical Depth and Fermat Distance for Uncertainty
  Quantification
Combining Statistical Depth and Fermat Distance for Uncertainty Quantification
Hai-Vy Nguyen
Fabrice Gamboa
Reda Chhaibi
Sixin Zhang
Serge Gratton
Thierry Giaccone
FedMLUQCV
248
1
0
12 Apr 2024
VI-OOD: A Unified Representation Learning Framework for Textual
  Out-of-distribution Detection
VI-OOD: A Unified Representation Learning Framework for Textual Out-of-distribution DetectionInternational Conference on Language Resources and Evaluation (LREC), 2024
Li-Ming Zhan
Bo Liu
Xiao-Ming Wu
223
0
0
09 Apr 2024
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