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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
Are CLIP features all you need for Universal Synthetic Image Origin
  Attribution?
Are CLIP features all you need for Universal Synthetic Image Origin Attribution?
Dario Cioni
Christos Tzelepis
Lorenzo Seidenari
Ioannis Patras
251
8
0
17 Aug 2024
Out-of-Distribution Learning with Human Feedback
Out-of-Distribution Learning with Human Feedback
Haoyue Bai
Xuefeng Du
Katie Rainey
Shibin Parameswaran
Yixuan Li
OODD
254
7
0
14 Aug 2024
Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to
  Tail
Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to TailAAAI Conference on Artificial Intelligence (AAAI), 2024
Yina He
Lei Peng
Yongcun Zhang
Juanjuan Weng
Shaozi Li
Shaozi Li
OODD
356
3
0
13 Aug 2024
A Review of Pseudo-Labeling for Computer Vision
A Review of Pseudo-Labeling for Computer Vision
Patrick Kage
Jay C. Rothenberger
Pavlos Andreadis
Dimitrios I. Diochnos
VLM
585
18
0
13 Aug 2024
Your Classifier Can Be Secretly a Likelihood-Based OOD Detector
Your Classifier Can Be Secretly a Likelihood-Based OOD Detector
Jirayu Burapacheep
Yixuan Li
OODD
209
5
0
09 Aug 2024
A Survey of Text-to-SQL in the Era of LLMs: Where are we, and where are we going?
A Survey of Text-to-SQL in the Era of LLMs: Where are we, and where are we going?IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
Xinyu Liu
Shuyu Shen
Boyan Li
Peixian Ma
Runzhi Jiang
Yuxin Zhang
Ju Fan
Guoliang Li
Nan Tang
Yuyu Luo
770
0
0
09 Aug 2024
Dimensionality Reduction and Nearest Neighbors for Improving
  Out-of-Distribution Detection in Medical Image Segmentation
Dimensionality Reduction and Nearest Neighbors for Improving Out-of-Distribution Detection in Medical Image Segmentation
M. Woodland
Nihil Patel
Austin Castelo
Mais Al Taie
Mohamed Eltaher
...
Nakul Gupta
David Victor
Laura Beretta
Ankit B. Patel
Kristy K. Brock
OOD
197
2
0
05 Aug 2024
A Decision-driven Methodology for Designing Uncertainty-aware AI
  Self-Assessment
A Decision-driven Methodology for Designing Uncertainty-aware AI Self-Assessment
Charles Oredola
Vladimir Leung
Adnan Ashraf
Eric Heim
I-Jeng Wang
327
1
0
02 Aug 2024
DECIDER: Leveraging Foundation Model Priors for Improved Model Failure
  Detection and Explanation
DECIDER: Leveraging Foundation Model Priors for Improved Model Failure Detection and ExplanationEuropean Conference on Computer Vision (ECCV), 2024
Rakshith Subramanyam
Kowshik Thopalli
V. Narayanaswamy
Jayaraman J.Thiagarajan
243
4
0
01 Aug 2024
Resilience and Security of Deep Neural Networks Against Intentional and
  Unintentional Perturbations: Survey and Research Challenges
Resilience and Security of Deep Neural Networks Against Intentional and Unintentional Perturbations: Survey and Research Challenges
Sazzad Sayyed
Milin Zhang
Shahriar Rifat
A. Swami
Michael De Lucia
Francesco Restuccia
463
2
0
31 Jul 2024
Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey
Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey
Atsuyuki Miyai
Jingkang Yang
Jingyang Zhang
Yifei Ming
Sisir Dhakal
...
Yixuan Li
Hai "Helen" Li
Ziwei Liu
Toshihiko Yamasaki
Kiyoharu Aizawa
367
29
0
31 Jul 2024
Detecting Unsafe Behavior in Neural Network Imitation Policies for
  Caregiving Robotics
Detecting Unsafe Behavior in Neural Network Imitation Policies for Caregiving Robotics
Andrii Tytarenko
OffRL
154
1
0
29 Jul 2024
Category-Extensible Out-of-Distribution Detection via Hierarchical
  Context Descriptions
Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions
Kai-Chun Liu
Zhihang Fu
Chao Chen
Sheng Jin
Ze Chen
Mingyuan Tao
Rongxin Jiang
Jieping Ye
VLMOODD
224
6
0
23 Jul 2024
Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution
Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution
Kai-Chun Liu
Zhihang Fu
Sheng Jin
Chao Chen
Ze Chen
Rongxin Jiang
Fan Zhou
Yao-Shen Chen
Jieping Ye
OODD
200
2
0
23 Jul 2024
STAMP: Outlier-Aware Test-Time Adaptation with Stable Memory Replay
STAMP: Outlier-Aware Test-Time Adaptation with Stable Memory Replay
Yongcan Yu
Lijun Sheng
Ran He
Jian Liang
TTA
303
12
0
22 Jul 2024
Towards Open-World Object-based Anomaly Detection via Self-Supervised
  Outlier Synthesis
Towards Open-World Object-based Anomaly Detection via Self-Supervised Outlier Synthesis
Brian K. S. Isaac-Medina
Yona Falinie A. Gaus
Neelanjan Bhowmik
T. Breckon
195
6
0
22 Jul 2024
ESCAPE: Energy-based Selective Adaptive Correction for
  Out-of-distribution 3D Human Pose Estimation
ESCAPE: Energy-based Selective Adaptive Correction for Out-of-distribution 3D Human Pose Estimation
Luke Bidulka
Mohsen Gholami
Jiannan Zheng
Martin J. McKeown
Z. J. Wang
3DH
208
2
0
19 Jul 2024
Out-of-Distribution Detection through Soft Clustering with Non-Negative
  Kernel Regression
Out-of-Distribution Detection through Soft Clustering with Non-Negative Kernel Regression
Aryan Gulati
Xingjian Dong
Carlos Hurtado
Sarath Shekkizhar
Swabha Swayamdipta
Antonio Ortega
OODD
287
3
0
18 Jul 2024
Improving GPU Multi-Tenancy Through Dynamic Multi-Instance GPU
  Reconfiguration
Improving GPU Multi-Tenancy Through Dynamic Multi-Instance GPU Reconfiguration
Tianyu Wang
Sheng Li
Bingyao Li
Yuezhen Dai
Ao Li
Geng Yuan
Yufei Ding
Youtao Zhang
Xulong Tang
223
9
0
18 Jul 2024
Uncertainty Calibration with Energy Based Instance-wise Scaling in the
  Wild Dataset
Uncertainty Calibration with Energy Based Instance-wise Scaling in the Wild Dataset
Mijoo Kim
Junseok Kwon
UQCV
164
3
0
17 Jul 2024
ProSub: Probabilistic Open-Set Semi-Supervised Learning with
  Subspace-Based Out-of-Distribution Detection
ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection
Erik Wallin
Lennart Svensson
Fredrik Kahl
Lars Hammarstrand
OODD
229
4
0
16 Jul 2024
Understanding the Dependence of Perception Model Competency on Regions
  in an Image
Understanding the Dependence of Perception Model Competency on Regions in an Image
Sara Pohland
Claire Tomlin
207
3
0
15 Jul 2024
One Stone, Four Birds: A Comprehensive Solution for QA System Using
  Supervised Contrastive Learning
One Stone, Four Birds: A Comprehensive Solution for QA System Using Supervised Contrastive Learning
Bo Wang
Tsunenori Mine
AAML
265
0
0
12 Jul 2024
LAPT: Label-driven Automated Prompt Tuning for OOD Detection with
  Vision-Language Models
LAPT: Label-driven Automated Prompt Tuning for OOD Detection with Vision-Language Models
Yabin Zhang
Wenjie Zhu
Chenhang He
Lei Zhang
VLM
370
16
0
12 Jul 2024
Real-Time Anomaly Detection and Reactive Planning with Large Language
  Models
Real-Time Anomaly Detection and Reactive Planning with Large Language Models
Rohan Sinha
Amine Elhafsi
Christopher Agia
Matthew Foutter
Edward Schmerling
Marco Pavone
OffRLLRM
261
69
0
11 Jul 2024
Improving Out-of-Distribution Detection by Combining Existing Post-hoc
  Methods
Improving Out-of-Distribution Detection by Combining Existing Post-hoc Methods
Paul Novello
Yannick Prudent
Joseba Dalmau
Corentin Friedrich
Y. Pequignot
OODD
172
1
0
09 Jul 2024
OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental
  Learning
OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental Learning
Wenjun Miao
Guansong Pang
Trong-Tung Nguyen
Ruohang Fang
Jin Zheng
Xiao Bai
OODD
378
8
0
08 Jul 2024
Introducing Ínside' Out of Distribution
Introducing Ínside' Out of Distribution
Teddy Lazebnik
404
1
0
05 Jul 2024
Beyond Pixels: Semi-Supervised Semantic Segmentation with a Multi-scale
  Patch-based Multi-Label Classifier
Beyond Pixels: Semi-Supervised Semantic Segmentation with a Multi-scale Patch-based Multi-Label Classifier
Prantik Howlader
Srijan Das
Hieu M. Le
Dimitris Samaras
295
10
0
04 Jul 2024
Learning Non-Linear Invariants for Unsupervised Out-of-Distribution
  Detection
Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection
Lars Doorenbos
Raphael Sznitman
Pablo Márquez-Neila
313
1
0
04 Jul 2024
FlowCon: Out-of-Distribution Detection using Flow-Based Contrastive
  Learning
FlowCon: Out-of-Distribution Detection using Flow-Based Contrastive Learning
Saandeep Aathreya
Shaun J. Canavan
OODD
273
3
0
03 Jul 2024
OpenSlot: Mixed Open-Set Recognition with Object-Centric Learning
OpenSlot: Mixed Open-Set Recognition with Object-Centric Learning
Xu Yin
Fei Pan
G. An
Yuchi Huo
Zixuan Xie
Sung-eui Yoon
BDLVLM
383
3
0
02 Jul 2024
Towards Multimodal Open-Set Domain Generalization and Adaptation through
  Self-supervision
Towards Multimodal Open-Set Domain Generalization and Adaptation through Self-supervision
Hao Dong
Eleni Chatzi
Olga Fink
235
16
0
01 Jul 2024
Robustness Testing of Black-Box Models Against CT Degradation Through
  Test-Time Augmentation
Robustness Testing of Black-Box Models Against CT Degradation Through Test-Time Augmentation
Jack Highton
Quok Zong Chong
Samuel Finestone
A. Beqiri
Julia A. Schnabel
K. Bhatia
OOD
219
1
0
27 Jun 2024
SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented
  Generation
SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation
Zijun Yao
Weijian Qi
Liangming Pan
S. Cao
Linmei Hu
Weichuan Liu
Lei Hou
Juanzi Li
RALM
160
21
0
27 Jun 2024
Improving Taxonomic Image-based Out-of-distribution Detection With DNA
  Barcodes
Improving Taxonomic Image-based Out-of-distribution Detection With DNA Barcodes
Mikko Impio
Jenni Raitoharju
OODD
157
3
0
27 Jun 2024
Exploring Energy-Based Models for Out-of-Distribution Detection in
  Dialect Identification
Exploring Energy-Based Models for Out-of-Distribution Detection in Dialect Identification
Yaqian Hao
Chenguang Hu
Yingying Gao
Shilei Zhang
Junlan Feng
216
1
0
26 Jun 2024
On Calibration of Speech Classification Models: Insights from
  Energy-Based Model Investigations
On Calibration of Speech Classification Models: Insights from Energy-Based Model Investigations
Yaqian Hao
Chenguang Hu
Yingying Gao
Shilei Zhang
Junlan Feng
175
1
0
26 Jun 2024
Boosting Few-Shot Open-Set Object Detection via Prompt Learning and Robust Decision Boundary
Boosting Few-Shot Open-Set Object Detection via Prompt Learning and Robust Decision Boundary
Zhaowei Wu
Binyi Su
Qichuan Geng
Hua Zhang
Zhong Zhou
EDL
482
0
0
26 Jun 2024
Learning Run-time Safety Monitors for Machine Learning Components
Learning Run-time Safety Monitors for Machine Learning Components
Ozan Vardal
Richard Hawkins
Colin Paterson
Chiara Picardi
Daniel Omeiza
Lars Kunze
Ibrahim Habli
186
0
0
23 Jun 2024
Combine and Conquer: A Meta-Analysis on Data Shift and
  Out-of-Distribution Detection
Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection
Eduardo Dadalto
F. Alberge
Pierre Duhamel
Pablo Piantanida
OODD
261
0
0
23 Jun 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors
Peter Lorenz
Mario Fernandez
Jens Müller
Ullrich Kothe
AAML
622
1
0
21 Jun 2024
SeTAR: Out-of-Distribution Detection with Selective Low-Rank
  Approximation
SeTAR: Out-of-Distribution Detection with Selective Low-Rank ApproximationNeural Information Processing Systems (NeurIPS), 2024
Yixia Li
Boya Xiong
Guanhua Chen
Yun Chen
OODD
256
7
0
18 Jun 2024
Deep Bayesian Active Learning for Preference Modeling in Large Language
  Models
Deep Bayesian Active Learning for Preference Modeling in Large Language ModelsNeural Information Processing Systems (NeurIPS), 2024
Luckeciano C. Melo
P. Tigas
Alessandro Abate
Yarin Gal
243
16
0
14 Jun 2024
How Out-of-Distribution Detection Learning Theory Enhances Transformer: Learnability and Reliability
How Out-of-Distribution Detection Learning Theory Enhances Transformer: Learnability and Reliability
Yijin Zhou
Yutang Ge
Xiaowen Dong
Yuguang Wang
511
0
0
13 Jun 2024
Predictive Dynamic Fusion
Predictive Dynamic FusionInternational Conference on Machine Learning (ICML), 2024
Bing Cao
Yinan Xia
Yi Ding
Changqing Zhang
Qinghua Hu
265
22
0
07 Jun 2024
FOOD: Facial Authentication and Out-of-Distribution Detection with
  Short-Range FMCW Radar
FOOD: Facial Authentication and Out-of-Distribution Detection with Short-Range FMCW RadarInternational Conference on Information Photonics (ICIP), 2024
Sabri Mustafa Kahya
Boran Hamdi Sivrikaya
Muhammet Sami Yavuz
Eckehard Steinbach
CVBM
193
3
0
06 Jun 2024
Generalized Source Tracing: Detecting Novel Audio Deepfake Algorithm
  with Real Emphasis and Fake Dispersion Strategy
Generalized Source Tracing: Detecting Novel Audio Deepfake Algorithm with Real Emphasis and Fake Dispersion Strategy
Yuankun Xie
Ruibo Fu
Zhengqi Wen
Zhiyong Wang
Xiaopeng Wang
Haonnan Cheng
Long Ye
Jianhua Tao
338
12
0
05 Jun 2024
Evidentially Calibrated Source-Free Time-Series Domain Adaptation with
  Temporal Imputation
Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation
Mohamed Ragab
Peiliang Gong
Emadeldeen Eldele
Wenyu Zhang
Ruibing Jin
Chuan-Sheng Foo
Daoqiang Zhang
Xiaoli Li
Zhenghua Chen
TTAAI4TS
393
3
0
04 Jun 2024
Can Dense Connectivity Benefit Outlier Detection? An Odyssey with NAS
Can Dense Connectivity Benefit Outlier Detection? An Odyssey with NAS
Hao Fu
Tunhou Zhang
Hai Li
Yiran Chen
189
0
0
04 Jun 2024
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