Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2010.03759
Cited By
v1
v2
v3
v4 (latest)
Energy-based Out-of-distribution Detection
8 October 2020
Weitang Liu
Xiaoyun Wang
John Douglas Owens
Shouqing Yang
OODD
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Energy-based Out-of-distribution Detection"
50 / 958 papers shown
Leveraging Intermediate Representations for Better Out-of-Distribution Detection
Gianluca Guglielmo
Marc Masana
OODD
271
1
0
18 Feb 2025
Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey
North American Chapter of the Association for Computational Linguistics (NAACL), 2024
Ruiyao Xu
Kaize Ding
402
18
0
17 Feb 2025
Benchmarking Predictive Coding Networks -- Made Simple
Luca Pinchetti
Chang Qi
Oleh Lokshyn
Gaspard Olivers
Cornelius Emde
...
Simon Frieder
Bayar I. Menzat
Rafal Bogacz
Thomas Lukasiewicz
Tommaso Salvatori
388
17
0
17 Feb 2025
Exploring Active Data Selection Strategies for Continuous Training in Deepfake Detection
Biometrics and Electronic Signatures (BES), 2024
Yoshihiko Furuhashi
Junichi Yamagishi
Xin Eric Wang
H. Nguyen
Isao Echizen
181
0
0
11 Feb 2025
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation
International Conference on Learning Representations (ICLR), 2025
Danny Wang
Ruihong Qiu
Guangdong Bai
Zi Huang
912
12
0
09 Feb 2025
Out-of-Distribution Detection using Synthetic Data Generation
Momin Abbas
Muneeza Azmat
R. Horesh
Mikhail Yurochkin
OODD
558
2
0
05 Feb 2025
PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning
The Web Conference (WWW), 2025
Yu Feng
Yangli-ao Geng
Yifan Zhu
Zongfu Han
Xie Yu
Kaiwen Xue
Haoran Luo
Mengyang Sun
Guangwei Zhang
Meina Song
FedML
MoE
482
7
0
01 Feb 2025
Reducing Aleatoric and Epistemic Uncertainty through Multi-modal Data Acquisition
Arthur Hoarau
Benjamin Quost
Sébastien Destercke
Willem Waegeman
UQCV
UD
PER
349
3
0
30 Jan 2025
Topology of Out-of-Distribution Examples in Deep Neural Networks
Esha Datta
Johanna Hennig
Eva Domschot
Connor Mattes
Michael R. Smith
250
1
0
21 Jan 2025
SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models
Shu Zou
Xinyu Tian
Qinyu Zhao
Zhaoyuan Yang
Jing Zhang
VLM
239
4
0
20 Jan 2025
Provably Safeguarding a Classifier from OOD and Adversarial Samples: an Extreme Value Theory Approach
International Conference on Learning Representations (ICLR), 2025
Nicolas Atienza
Christophe Labreuche
Johanne Cohen
Michele Sebag
OODD
AAML
890
0
0
20 Jan 2025
FARE: A Deep Learning-Based Framework for Radar-based Face Recognition and Out-of-distribution Detection
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
Sabri Mustafa Kahya
Boran Hamdi Sivrikaya
Muhammet Sami Yavuz
Eckehard Steinbach
CVBM
135
0
0
14 Jan 2025
ARES: Auxiliary Range Expansion for Outlier Synthesis
Eui-Soo Jung
Hae-Hun Seo
Hyun-Woo Jung
Je-Geon Oh
Yoon-Yeong Kim
OODD
335
0
0
11 Jan 2025
Leveraging Registers in Vision Transformers for Robust Adaptation
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
Srikar Yellapragada
Kowshik Thopalli
V. Narayanaswamy
W. Sakla
Yang Liu
Yamen Mubarka
Dimitris Samaras
Jayaraman J. Thiagarajan
171
1
0
10 Jan 2025
Concept Matching with Agent for Out-of-Distribution Detection
YuXiao Lee
Xiaofeng Cao
Jingcai Guo
Wei Ye
Qing Guo
Yi Chang
320
0
0
08 Jan 2025
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes
AAAI Conference on Artificial Intelligence (AAAI), 2023
Yuanpeng Tu
Yuxi Li
Boshen Zhang
Liang Liu
Jing Zhang
Yun Wang
C. Zhao
643
8
0
03 Jan 2025
Evaluating Self-Supervised Learning in Medical Imaging: A Benchmark for Robustness, Generalizability, and Multi-Domain Impact
Valay Bundele
Karahan Sarıtaş
Bora Kargi
Oğuz Ata Çal
Kıvanç Tezören
Zohreh Ghaderi
Hendrik Lensch
OOD
232
6
0
26 Dec 2024
Pretraining with random noise for uncertainty calibration
Jeonghwan Cheon
Se-Bum Paik
OnRL
489
2
0
23 Dec 2024
Out-of-Distribution Detection with Prototypical Outlier Proxy
AAAI Conference on Artificial Intelligence (AAAI), 2024
Mingrong Gong
Chaoqi Chen
Qingqiang Sun
Yue Wang
Hui Huang
OODD
445
3
0
22 Dec 2024
Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection
Xiang Fang
Arvind Easwaran
B. Genest
Ponnuthurai Nagaratnam Suganthan
OODD
308
2
0
20 Dec 2024
Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation
Burak Ekim
G. Tadesse
Caleb Robinson
G. Q. Hacheme
Michael Schmitt
Rahul Dodhia
J. L. Ferres
OODD
498
6
0
18 Dec 2024
Open-World Panoptic Segmentation
Matteo Sodano
Federico Magistri
Jens Behley
Cyrill Stachniss
VLM
341
1
0
17 Dec 2024
ITP: Instance-Aware Test Pruning for Out-of-Distribution Detection
AAAI Conference on Artificial Intelligence (AAAI), 2024
Haonan Xu
Yang Yang
OODD
261
2
0
17 Dec 2024
Mining In-distribution Attributes in Outliers for Out-of-distribution Detection
AAAI Conference on Artificial Intelligence (AAAI), 2024
Yutian Lei
Luping Ji
Pei Liu
OODD
254
2
0
16 Dec 2024
How not to Stitch Representations to Measure Similarity: Task Loss Matching versus Direct Matching
AAAI Conference on Artificial Intelligence (AAAI), 2024
András Balogh
Márk Jelasity
238
2
0
15 Dec 2024
Safety Monitoring of Machine Learning Perception Functions: a Survey
International Conference on Climate Informatics (ICCI), 2024
Raul Sena Ferreira
Joris Guérin
Kevin Delmas
Jérémie Guiochet
H. Waeselynck
338
5
0
09 Dec 2024
Your Data Is Not Perfect: Towards Cross-Domain Out-of-Distribution Detection in Class-Imbalanced Data
Expert systems with applications (ESWA), 2024
Xiang Fang
Arvind Easwaran
B. Genest
Ponnuthurai Nagaratnam Suganthan
449
33
0
09 Dec 2024
Soft Checksums to Flag Untrustworthy Machine Learning Surrogate Predictions and Application to Atomic Physics Simulations
Casey Lauer
Robert C. Blake
Jonathan B. Freund
256
0
0
04 Dec 2024
NCDD: Nearest Centroid Distance Deficit for Out-Of-Distribution Detection in Gastrointestinal Vision
Sandesh Pokhrel
Sanjay Bhandari
Sharib Ali
Tryphon Lambrou
Anh Nguyen
Yash Raj Shrestha
Angus Watson
Danail Stoyanov
P. Gyawali
Binod Bhattarai
289
3
0
02 Dec 2024
Learning Structured Representations with Hyperbolic Embeddings
Neural Information Processing Systems (NeurIPS), 2024
Aditya Sinha
Siqi Zeng
M. Yamada
Han Zhao
380
7
0
02 Dec 2024
From Open Vocabulary to Open World: Teaching Vision Language Models to Detect Novel Objects
Zizhao Li
Zhengkang Xiang
Joseph West
Kourosh Khoshelham
ObjD
VLM
439
3
0
27 Nov 2024
FodFoM: Fake Outlier Data by Foundation Models Creates Stronger Visual Out-of-Distribution Detector
ACM Multimedia (MM), 2024
Jiankang Chen
Ling Deng
Zhiyong Gan
Wei-Shi Zheng
Ruixuan Wang
OODD
483
6
0
22 Nov 2024
TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual Out-of-Distribution Detection
AAAI Conference on Artificial Intelligence (AAAI), 2024
Jiankang Chen
Tong Zhang
Wei-Shi Zheng
Ruixuan Wang
OODD
391
5
0
22 Nov 2024
PaRCE: Probabilistic and Reconstruction-based Competency Estimation for CNN-based Image Classification
Sara Pohland
Claire Tomlin
UQCV
400
1
0
22 Nov 2024
Semantic or Covariate? A Study on the Intractable Case of Out-of-Distribution Detection
Xingming Long
Jie M. Zhang
Shiguang Shan
Xilin Chen
OODD
293
0
0
18 Nov 2024
Targeting Negative Flips in Active Learning using Validation Sets
BigData Congress [Services Society] (BSS), 2024
Ryan Benkert
Mohit Prabhushankar
Ghassan AlRegib
AAML
320
0
0
16 Nov 2024
Image-based Outlier Synthesis With Training Data
Sudarshan Regmi
OODD
485
2
0
16 Nov 2024
Disentangling Tabular Data Towards Better One-Class Anomaly Detection
AAAI Conference on Artificial Intelligence (AAAI), 2024
Jianan Ye
Zhaorui Tan
Yijie Hu
Xi Yang
Guangliang Cheng
K. Huang
260
4
0
12 Nov 2024
Feature-Space Semantic Invariance: Enhanced OOD Detection for Open-Set Domain Generalization
BigData Congress [Services Society] (BSS), 2024
Haoliang Wang
Chen Zhao
Feng Chen
203
1
0
11 Nov 2024
Robust Fine-tuning of Zero-shot Models via Variance Reduction
Neural Information Processing Systems (NeurIPS), 2024
B. Zhu
Jiequan Cui
Han Zhang
VLM
OODD
229
6
0
11 Nov 2024
Deep Active Learning in the Open World
Tian Xie
Jifan Zhang
Haoyue Bai
R. Nowak
VLM
886
6
0
10 Nov 2024
On the Inherent Robustness of One-Stage Object Detection against Out-of-Distribution Data
Aitor Martinez-Seras
Javier Del Ser
Alain Andres
Pablo García Bringas
Pablo Garcia-Bringas
OODD
272
0
0
07 Nov 2024
Community Forensics: Using Thousands of Generators to Train Fake Image Detectors
Computer Vision and Pattern Recognition (CVPR), 2024
Jeongsoo Park
Andrew Owens
387
19
0
06 Nov 2024
Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection
Neural Information Processing Systems (NeurIPS), 2024
Geng Yu
Jianing Zhu
Jiangchao Yao
Bo Han
OODD
218
14
0
05 Nov 2024
Typicalness-Aware Learning for Failure Detection
Neural Information Processing Systems (NeurIPS), 2024
Yijun Liu
Jiequan Cui
Zhuotao Tian
Senqiao Yang
Qingdong He
Xiaoling Wang
Jingyong Su
AAML
312
5
0
04 Nov 2024
Double Descent Meets Out-of-Distribution Detection: Theoretical Insights and Empirical Analysis on the role of model complexity
Mouin Ben Ammar
David Brellmann
Arturo Mendoza
Antoine Manzanera
Gianni Franchi
OODD
395
0
0
04 Nov 2024
DSDE: Using Proportion Estimation to Improve Model Selection for Out-of-Distribution Detection
Jingyao Geng
Yuan Zhang
Jiaqi Huang
Feng Xue
Falong Tan
Chuanlong Xie
Shumei Zhang
OODD
255
1
0
03 Nov 2024
MADOD: Generalizing OOD Detection to Unseen Domains via G-Invariance Meta-Learning
BigData Congress [Services Society] (BSS), 2024
Haoliang Wang
Chen Zhao
Feng Chen
177
4
0
02 Nov 2024
Class Incremental Learning with Task-Specific Batch Normalization and Out-of-Distribution Detection
Xuchen Xie
Yiqiao Qiu
Run Lin
Weishi Zheng
Ruixuan Wang
CLL
251
1
0
01 Nov 2024
Adaptive Residual Transformation for Enhanced Feature-Based OOD Detection in SAR Imagery
Kyung-Hwan Lee
Kyung-Tae Kim
216
2
0
01 Nov 2024
Previous
1
2
3
4
5
6
...
18
19
20
Next
