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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
Yixuan Li
    OODD
ArXiv (abs)PDFHTML

Papers citing "Energy-based Out-of-distribution Detection"

50 / 847 papers shown
Title
Improving Selective Visual Question Answering by Learning from Your
  Peers
Improving Selective Visual Question Answering by Learning from Your Peers
Corentin Dancette
Spencer Whitehead
Rishabh Maheshwary
Ramakrishna Vedantam
Stefan Scherer
Xinlei Chen
Matthieu Cord
Marcus Rohrbach
AAMLOOD
82
17
0
14 Jun 2023
Distribution Shift Inversion for Out-of-Distribution Prediction
Distribution Shift Inversion for Out-of-Distribution Prediction
Runpeng Yu
Songhua Liu
Xingyi Yang
Xinchao Wang
OODD
100
19
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?
Yifei Ming
Yixuan Li
OODDVLM
87
42
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
71
5
0
08 Jun 2023
Open Set Relation Extraction via Unknown-Aware Training
Open Set Relation Extraction via Unknown-Aware Training
Jun Zhao
Xin Zhao
Wenyu Zhan
Qi Zhang
Tao Gui
Zhongyu Wei
Yunwen Chen
Xiang Gao
Xuanjing Huang
40
3
0
08 Jun 2023
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection
  Capability
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability
Jianing Zhu
Hengzhuang Li
Jiangchao Yao
Tongliang Liu
Jianliang Xu
Bo Han
OODD
80
13
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
401
2
0
06 Jun 2023
Neuron Activation Coverage: Rethinking Out-of-distribution Detection and
  Generalization
Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization
Yebin Liu
Chris Xing Tian
Haoliang Li
Lei Ma
Shiqi Wang
UQCV
98
21
0
05 Jun 2023
Provable Dynamic Fusion for Low-Quality Multimodal Data
Provable Dynamic Fusion for Low-Quality Multimodal Data
Qingyang Zhang
Haitao Wu
Changqing Zhang
Qinghua Hu
Huazhu Fu
Qiufeng Wang
Xi Peng
114
62
0
03 Jun 2023
DOS: Diverse Outlier Sampling for Out-of-Distribution Detection
DOS: Diverse Outlier Sampling for Out-of-Distribution Detection
Wenyu Jiang
Hao Cheng
Mingcai Chen
Chongjun Wang
Hongxin Wei
OODOODD
107
11
0
03 Jun 2023
LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning
LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning
Atsuyuki Miyai
Qing Yu
Go Irie
Kiyoharu Aizawa
OODD
143
72
0
02 Jun 2023
In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation
In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation
Julian Bitterwolf
Maximilian Müller
Matthias Hein
OODD
102
92
0
01 Jun 2023
Anomaly Detection with Variance Stabilized Density Estimation
Anomaly Detection with Variance Stabilized Density Estimation
Amit Rozner
Barak Battash
Henry Li
Lior Wolf
Ofir Lindenbaum
88
2
0
01 Jun 2023
Semantic Role Labeling Guided Out-of-distribution Detection
Semantic Role Labeling Guided Out-of-distribution Detection
Jinan Zou
Maihao Guo
Yu Tian
Yuhao Lin
Hai Cao
Lingqiao Liu
Ehsan Abbasnejad
Javen Qinfeng Shi
OODD
130
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
52
3
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
70
1
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
46
1
0
26 May 2023
Maskomaly:Zero-Shot Mask Anomaly Segmentation
Maskomaly:Zero-Shot Mask Anomaly Segmentation
J. Ackermann
Daniel Gehrig
Feng Yu
ISeg
124
25
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 Detection
Marc Lafon
Elias Ramzi
Clément Rambour
Nicolas Thome
OODD
133
10
0
26 May 2023
Energy-based Detection of Adverse Weather Effects in LiDAR Data
Energy-based Detection of Adverse Weather Effects in LiDAR Data
Aldi Piroli
Vinzenz Dallabetta
Johannes Kopp
M. Walessa
D. Meissner
Klaus C. J. Dietmayer
49
18
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 Networks
L. F. P. Cattelan
Danilo Silva
UQCV
123
6
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
82
9
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
68
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 Detection
Rheeya Uppaal
Junjie Hu
Yixuan Li
OODD
207
36
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 Validation
Xiaowei Huang
Wenjie Ruan
Wei Huang
Gao Jin
Yizhen Dong
...
Sihao Wu
Peipei Xu
Dengyu Wu
André Freitas
Mustafa A. Mustafa
ALM
132
96
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 Flow
Denis A. Gudovskiy
Tomoyuki Okuno
Yohei Nakata
92
7
0
16 May 2023
Monitoring and Adapting ML Models on Mobile Devices
Monitoring and Adapting ML Models on Mobile Devices
Wei Hao
Zixi Wang
Lauren Hong
Lingxi Li
Nader Karayanni
Chengzhi Mao
Junfeng Yang
Asaf Cidon
OffRL
61
4
0
12 May 2023
Simple Token-Level Confidence Improves Caption Correctness
Simple Token-Level Confidence Improves Caption Correctness
Suzanne Petryk
Spencer Whitehead
Joseph E. Gonzalez
Trevor Darrell
Anna Rohrbach
Marcus Rohrbach
90
7
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
52
1
0
06 May 2023
Out-of-Domain Intent Detection Considering Multi-Turn Dialogue Contexts
Out-of-Domain Intent Detection Considering Multi-Turn Dialogue Contexts
Hao Lang
Yinhe Zheng
Binyuan Hui
Fei Huang
Yongbin Li
84
4
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
Yixuan Li
Jian Sun
Feiling Huang
Yongbin Li
91
25
0
05 May 2023
Out-of-distribution detection algorithms for robust insect
  classification
Out-of-distribution detection algorithms for robust insect classification
M. Saadati
Prithviraj Ammanabrolu
Shivani Chiranjeevi
Talukder Zaki Jubery
Mark O. Riedl
Soumik Sarkar
Arti Singh
Baskar Ganapathysubramanian
OODD
83
10
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 Agreement
Ailin Deng
Miao Xiong
Bryan Hooi
205
7
0
02 May 2023
Personalized Federated Learning under Mixture of Distributions
Personalized Federated Learning under Mixture of Distributions
Yue Wu
Shuaicheng Zhang
Wenchao Yu
Yanchi Liu
Quanquan Gu
Dawei Zhou
Haifeng Chen
Wei Cheng
FedML
130
47
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
77
6
0
17 Apr 2023
Unified Out-Of-Distribution Detection: A Model-Specific Perspective
Unified Out-Of-Distribution Detection: A Model-Specific Perspective
Reza Averly
Wei-Lun Chao
OODD
82
14
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 Detection
S. Soltanieh
J. Hashemi
Ali Etemad
85
12
0
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
91
11
0
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
77
8
0
11 Apr 2023
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
88
2
0
09 Apr 2023
Exploring the Connection between Robust and Generative Models
Exploring the Connection between Robust and Generative Models
Senad Beadini
I. Masi
AAML
69
2
0
08 Apr 2023
On-site Noise Exposure technique for noise-robust machine fault
  classification
On-site Noise Exposure technique for noise-robust machine fault classification
Wonjun Yi
Jung-Woo Choi
23
0
0
07 Apr 2023
Probing the Purview of Neural Networks via Gradient Analysis
Probing the Purview of Neural Networks via Gradient Analysis
Jinsol Lee
Charles Lehman
Mohit Prabhushankar
Ghassan AlRegib
104
8
0
06 Apr 2023
EGC: Image Generation and Classification via a Diffusion Energy-Based
  Model
EGC: Image Generation and Classification via a Diffusion Energy-Based Model
Qiushan Guo
Chuofan Ma
Yi Jiang
Zehuan Yuan
Yizhou Yu
Ping Luo
DiffM
82
8
0
04 Apr 2023
Selective Knowledge Sharing for Privacy-Preserving Federated
  Distillation without A Good Teacher
Selective Knowledge Sharing for Privacy-Preserving Federated Distillation without A Good Teacher
Jiawei Shao
Fangzhao Wu
Jun Zhang
FedML
140
33
0
04 Apr 2023
Fully Variational Noise-Contrastive Estimation
Fully Variational Noise-Contrastive Estimation
Christopher Zach
BDLDRL
98
2
0
04 Apr 2023
Establishing baselines and introducing TernaryMixOE for fine-grained
  out-of-distribution detection
Establishing baselines and introducing TernaryMixOE for fine-grained out-of-distribution detection
Noah Fleischmann
Walter D. Bennette
Nathan Inkawhich
OODD
30
0
0
30 Mar 2023
ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing
ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing
Xiaodan Li
YueFeng Chen
Yao Zhu
Shuhui Wang
Rong Zhang
Hui Xue
82
25
0
30 Mar 2023
OpenMix: Exploring Outlier Samples for Misclassification Detection
OpenMix: Exploring Outlier Samples for Misclassification Detection
Fei Zhu
Zhen Cheng
Xu-Yao Zhang
Cheng-Lin Liu
UQCV
82
36
0
30 Mar 2023
Diffusion Denoised Smoothing for Certified and Adversarial Robust
  Out-Of-Distribution Detection
Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Detection
Nicola Franco
Daniel Korth
J. Lorenz
Karsten Roscher
Stephan Guennemann
60
5
0
27 Mar 2023
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