ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2010.03759
  4. Cited By
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
Unified Entropy Optimization for Open-Set Test-Time Adaptation
Unified Entropy Optimization for Open-Set Test-Time Adaptation
Zhengqing Gao
Xu-Yao Zhang
Cheng-Lin Liu
TTA
257
13
0
09 Apr 2024
Out-of-Distribution Data: An Acquaintance of Adversarial Examples -- A
  Survey
Out-of-Distribution Data: An Acquaintance of Adversarial Examples -- A Survey
Naveen Karunanayake
Ravin Gunawardena
Suranga Seneviratne
Sanjay Chawla
OOD
310
14
0
08 Apr 2024
On the Learnability of Out-of-distribution Detection
On the Learnability of Out-of-distribution Detection
Zhen Fang
Shouqing Yang
Yifan Zhang
Bo Han
Jie Lu
223
9
0
07 Apr 2024
Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector
Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector
Andi Zhang
Tim Z. Xiao
Weiyang Liu
Kushagra Pandey
Damon J. Wischik
OODD
364
10
0
07 Apr 2024
Learning Transferable Negative Prompts for Out-of-Distribution Detection
Learning Transferable Negative Prompts for Out-of-Distribution DetectionComputer Vision and Pattern Recognition (CVPR), 2024
Tianqi Li
Guansong Pang
Xiaolong Bai
Wenjun Miao
Jingyi Zheng
VLM
262
43
0
04 Apr 2024
A noisy elephant in the room: Is your out-of-distribution detector
  robust to label noise?
A noisy elephant in the room: Is your out-of-distribution detector robust to label noise?Computer Vision and Pattern Recognition (CVPR), 2024
Galadrielle Humblot-Renaux
Sergio Escalera
T. Moeslund
OODDUQCVNoLa
203
15
0
02 Apr 2024
AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation
AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation
Taeckyung Lee
Sorn Chottananurak
Taesik Gong
Sung-Ju Lee
248
7
0
01 Apr 2024
Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text
  Guidance
Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance
G. Nam
Byeongho Heo
Juho Lee
VLM
174
12
0
01 Apr 2024
LLM meets Vision-Language Models for Zero-Shot One-Class Classification
LLM meets Vision-Language Models for Zero-Shot One-Class Classification
Yassir Bendou
G. Lioi
Bastien Pasdeloup
Lukas Mauch
G. B. Hacene
Fabien Cardinaux
Vincent Gripon
VLMMLLM
374
1
0
31 Mar 2024
Weak Distribution Detectors Lead to Stronger Generalizability of
  Vision-Language Prompt Tuning
Weak Distribution Detectors Lead to Stronger Generalizability of Vision-Language Prompt Tuning
Kun Ding
Haojian Zhang
Qiang Yu
Ying Wang
Shiming Xiang
Chunhong Pan
OODDVLM
115
7
0
31 Mar 2024
ADs: Active Data-sharing for Data Quality Assurance in Advanced
  Manufacturing Systems
ADs: Active Data-sharing for Data Quality Assurance in Advanced Manufacturing Systems
Yue Zhao
Yuxuan Li
Chenang Liu
Yinan Wang
186
0
0
31 Mar 2024
CLIP-driven Outliers Synthesis for few-shot OOD detection
CLIP-driven Outliers Synthesis for few-shot OOD detection
Hao Sun
Rundong He
Zhongyi Han
Zhicong Lin
Yongshun Gong
Yilong Yin
OODD
368
8
0
30 Mar 2024
Negative Label Guided OOD Detection with Pretrained Vision-Language
  Models
Negative Label Guided OOD Detection with Pretrained Vision-Language Models
Xue Jiang
Yifan Zhang
Zhengfeng Fang
Hong Chen
Tongliang Liu
Feng Zheng
Bo Han
VLM
300
59
0
29 Mar 2024
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real
  World
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World
Bowen Lei
Dongkuan Xu
Ruqi Zhang
Bani Mallick
UQCV
283
1
0
29 Mar 2024
GOLD: Generalized Knowledge Distillation via Out-of-Distribution-Guided
  Language Data Generation
GOLD: Generalized Knowledge Distillation via Out-of-Distribution-Guided Language Data Generation
Mohsen Gholami
Mohammad Akbari
Cindy Hu
Vaden Masrani
Z. J. Wang
Yong Zhang
192
6
0
28 Mar 2024
CLAP4CLIP: Continual Learning with Probabilistic Finetuning for
  Vision-Language Models
CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models
Saurav Jha
Dong Gong
Lina Yao
CLIPVLM
446
18
0
28 Mar 2024
A Geometric Explanation of the Likelihood OOD Detection Paradox
A Geometric Explanation of the Likelihood OOD Detection Paradox
Hamidreza Kamkari
Brendan Leigh Ross
Jesse C. Cresswell
M. Volkovs
Rahul G. Krishnan
Gabriel Loaiza-Ganem
OODD
348
14
0
27 Mar 2024
BAM: Box Abstraction Monitors for Real-time OoD Detection in Object
  Detection
BAM: Box Abstraction Monitors for Real-time OoD Detection in Object Detection
Changshun Wu
Weicheng He
Chih-Hong Cheng
Xiaowei Huang
Saddek Bensalem
215
5
0
27 Mar 2024
SCOD: From Heuristics to Theory
SCOD: From Heuristics to Theory
Vojtech Franc
Jakub Paplhám
D. Prusa
179
3
0
25 Mar 2024
Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble
Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble
Chenhui Xu
Fuxun Yu
Zirui Xu
Nathan Inkawhich
Xiang Chen
OODD
228
11
0
24 Mar 2024
Hyperbolic Metric Learning for Visual Outlier Detection
Hyperbolic Metric Learning for Visual Outlier Detection
Alvaro Gonzalez-Jimenez
Simone Lionetti
Dena Bazazian
Philippe Gottfrois
Fabian Gröger
Marc Pouly
Alexander A. Navarini
227
4
0
22 Mar 2024
Addressing Concept Shift in Online Time Series Forecasting:
  Detect-then-Adapt
Addressing Concept Shift in Online Time Series Forecasting: Detect-then-Adapt
Yi-Fan Zhang
Weiqiu Chen
Zhaoyang Zhu
Dalin Qin
Liang Sun
Qingsong Wen
Qingsong Wen
Zhang Zhang
Liang Wang
Rong Jin
AI4TS
240
5
0
22 Mar 2024
Tell Me What You Want (What You Really, Really Want): Addressing the
  Expectation Gap for Goal Conveyance from Humans to Robots
Tell Me What You Want (What You Really, Really Want): Addressing the Expectation Gap for Goal Conveyance from Humans to Robots
Kevin J. Leahy
H. Siu
111
3
0
21 Mar 2024
Out-of-Distribution Detection Should Use Conformal Prediction (and
  Vice-versa?)
Out-of-Distribution Detection Should Use Conformal Prediction (and Vice-versa?)
Paul Novello
Joseba Dalmau
Léo Andéol
OODD
188
9
0
18 Mar 2024
Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting
Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting
Zhuliang Yu
Guohao Chen
Jiaxiang Wu
Yifan Zhang
Yaofo Chen
Peilin Zhao
Shuaicheng Niu
TTAOOD
349
10
0
18 Mar 2024
Enhancing Out-of-Distribution Detection with Multitesting-based
  Layer-wise Feature Fusion
Enhancing Out-of-Distribution Detection with Multitesting-based Layer-wise Feature Fusion
Jiawei Li
Sitong Li
Shanshan Wang
Yicheng Zeng
Falong Tan
Chuanlong Xie
OODD
201
1
0
16 Mar 2024
Model Reprogramming Outperforms Fine-tuning on Out-of-distribution Data
  in Text-Image Encoders
Model Reprogramming Outperforms Fine-tuning on Out-of-distribution Data in Text-Image Encoders
Andrew Geng
Pin-Yu Chen
OODD
282
1
0
16 Mar 2024
Energy Correction Model in the Feature Space for Out-of-Distribution
  Detection
Energy Correction Model in the Feature Space for Out-of-Distribution Detection
Marc Lafon
Clément Rambour
Nicolas Thome
OODD
215
1
0
15 Mar 2024
CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and
  Vocabulary Learning
CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and Vocabulary LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024
Yukun Li
Guansong Pang
Wei Suo
Chenchen Jing
Yuling Xi
Lingqiao Liu
Hao Chen
Guoqiang Liang
Peng Wang
CLLVLM
192
11
0
15 Mar 2024
Open-World Semantic Segmentation Including Class Similarity
Open-World Semantic Segmentation Including Class SimilarityComputer Vision and Pattern Recognition (CVPR), 2024
Matteo Sodano
Federico Magistri
Lucas Nunes
Jens Behley
C. Stachniss
VLM
218
19
0
12 Mar 2024
COOD: Combined out-of-distribution detection using multiple measures for
  anomaly & novel class detection in large-scale hierarchical classification
COOD: Combined out-of-distribution detection using multiple measures for anomaly & novel class detection in large-scale hierarchical classification
L. E. Hogeweg
R. Gangireddy
D. Brunink
Vincent J. Kalkman
L. Cornelissen
J. W. Kamminga
OODD
210
6
0
11 Mar 2024
AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge
  Distillation
AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge DistillationInternational Conference on Learning Representations (ICLR), 2024
Zihao Tang
Zheqi Lv
Shengyu Zhang
Yifan Zhou
Xinyu Duan
Leilei Gan
Kun Kuang
357
4
0
11 Mar 2024
Generating Hard-Negative Out-of-Scope Data with ChatGPT for Intent
  Classification
Generating Hard-Negative Out-of-Scope Data with ChatGPT for Intent ClassificationInternational Conference on Language Resources and Evaluation (LREC), 2024
Zhijian Li
Stefan Larson
Kevin Leach
OODD
188
3
0
08 Mar 2024
Aligners: Decoupling LLMs and Alignment
Aligners: Decoupling LLMs and Alignment
Lilian Ngweta
Mayank Agarwal
Subha Maity
Alex Gittens
Yuekai Sun
Mikhail Yurochkin
286
3
0
07 Mar 2024
ComFe: An Interpretable Head for Vision Transformers
ComFe: An Interpretable Head for Vision Transformers
Evelyn J. Mannix
H. Bondell
Howard Bondell
VLMViT
497
0
0
07 Mar 2024
Advancing Out-of-Distribution Detection through Data Purification and
  Dynamic Activation Function Design
Advancing Out-of-Distribution Detection through Data Purification and Dynamic Activation Function Design
Yingrui Ji
Yao Zhu
Zhigang Li
Jiansheng Chen
Yun-long Kong
Jingbo Chen
OODD
249
1
0
06 Mar 2024
Revisiting Confidence Estimation: Towards Reliable Failure Prediction
Revisiting Confidence Estimation: Towards Reliable Failure Prediction
Fei Zhu
Xu-Yao Zhang
Zhen Cheng
Cheng-Lin Liu
UQCV
322
17
0
05 Mar 2024
Improving Adversarial Energy-Based Model via Diffusion Process
Improving Adversarial Energy-Based Model via Diffusion Process
Cong Geng
Tian Han
Peng-Tao Jiang
Hao Zhang
Jinwei Chen
Søren Hauberg
Yue Liu
DiffM
438
5
0
04 Mar 2024
Approximations to the Fisher Information Metric of Deep Generative
  Models for Out-Of-Distribution Detection
Approximations to the Fisher Information Metric of Deep Generative Models for Out-Of-Distribution Detection
Sam Dauncey
Chris Holmes
Christopher Williams
Fabian Falck
365
1
0
03 Mar 2024
Run-time Introspection of 2D Object Detection in Automated Driving
  Systems Using Learning Representations
Run-time Introspection of 2D Object Detection in Automated Driving Systems Using Learning Representations
Hakan Yekta Yatbaz
M. Dianati
K. Koufos
Roger Woodman
241
6
0
02 Mar 2024
Extracting Usable Predictions from Quantized Networks through
  Uncertainty Quantification for OOD Detection
Extracting Usable Predictions from Quantized Networks through Uncertainty Quantification for OOD Detection
Rishi Singhal
Srinath Srinivasan
UQCVMQ
109
0
0
02 Mar 2024
SURE: SUrvey REcipes for building reliable and robust deep networks
SURE: SUrvey REcipes for building reliable and robust deep networks
Yuting Li
Yingyi Chen
Xuanlong Yu
Dexiong Chen
Xi Shen
UQCVOOD
273
14
0
01 Mar 2024
Towards Out-of-Distribution Detection for breast cancer classification
  in Point-of-Care Ultrasound Imaging
Towards Out-of-Distribution Detection for breast cancer classification in Point-of-Care Ultrasound Imaging
Jennie Karlsson
Marisa Wodrich
Niels Christian Overgaard
Freja Sahlin
Kristina Laang
Anders Heyden
Ida Arvidsson
142
0
0
29 Feb 2024
Out-of-Distribution Detection using Neural Activation Prior
Out-of-Distribution Detection using Neural Activation Prior
Weilin Wan
Weizhong Zhang
Quan Zhou
Fan Yi
Cheng Jin
OODD
402
1
0
28 Feb 2024
ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection
ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection
Bo Peng
Yadan Luo
Yonggang Zhang
Shouqing Yang
Zhen Fang
304
20
0
27 Feb 2024
DAGnosis: Localized Identification of Data Inconsistencies using
  Structures
DAGnosis: Localized Identification of Data Inconsistencies using Structures
Nicolas Huynh
Jeroen Berrevoets
Nabeel Seedat
Jonathan Crabbé
Zhaozhi Qian
M. Schaar
306
1
0
26 Feb 2024
Placing Objects in Context via Inpainting for Out-of-distribution
  Segmentation
Placing Objects in Context via Inpainting for Out-of-distribution Segmentation
Pau de Jorge
Riccardo Volpi
P. Dokania
Juil Sock
Grégory Rogez
DiffM
381
9
0
26 Feb 2024
Trustworthy Personalized Bayesian Federated Learning via Posterior
  Fine-Tune
Trustworthy Personalized Bayesian Federated Learning via Posterior Fine-Tune
Mengen Luo
Chi Xu
E. Kuruoglu
FedML
332
1
0
25 Feb 2024
Outlier detection by ensembling uncertainty with negative objectness
Outlier detection by ensembling uncertainty with negative objectness
Anja Delić
Matej Grcić
Sinisa Segvic
UQCV
336
27
0
23 Feb 2024
Towards Trustworthy Reranking: A Simple yet Effective Abstention
  Mechanism
Towards Trustworthy Reranking: A Simple yet Effective Abstention Mechanism
Hippolyte Gisserot-Boukhlef
Manuel Faysse
Emmanuel Malherbe
C´eline Hudelot
Pierre Colombo
429
5
0
20 Feb 2024
Previous
123...8910...181920
Next