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Energy-based Out-of-distribution Detection

Energy-based Out-of-distribution Detection

8 October 2020
Weitang Liu
Xiaoyun Wang
John Douglas Owens
Yixuan Li
    OODD
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Papers citing "Energy-based Out-of-distribution Detection"

50 / 819 papers shown
Title
Error Discovery by Clustering Influence Embeddings
Error Discovery by Clustering Influence Embeddings
Fulton Wang
Julius Adebayo
Sarah Tan
Diego Garcia-Olano
Narine Kokhlikyan
26
3
0
07 Dec 2023
Think Twice Before Selection: Federated Evidential Active Learning for
  Medical Image Analysis with Domain Shifts
Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts
Jiayi Chen
Benteng Ma
Hengfei Cui
Yong-quan Xia
OOD
FedML
31
12
0
05 Dec 2023
Likelihood-Aware Semantic Alignment for Full-Spectrum
  Out-of-Distribution Detection
Likelihood-Aware Semantic Alignment for Full-Spectrum Out-of-Distribution Detection
Fan Lu
Kai Zhu
Kecheng Zheng
Wei Zhai
Xuemiao Xu
OODD
155
4
0
04 Dec 2023
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition
Chong Wang
Yuanhong Chen
Fengbei Liu
Yuyuan Liu
Davis J. McCarthy
Helen Frazer
Gustavo Carneiro
34
1
0
30 Nov 2023
Understanding the (Extra-)Ordinary: Validating Deep Model Decisions with
  Prototypical Concept-based Explanations
Understanding the (Extra-)Ordinary: Validating Deep Model Decisions with Prototypical Concept-based Explanations
Maximilian Dreyer
Reduan Achtibat
Wojciech Samek
Sebastian Lapuschkin
35
10
0
28 Nov 2023
Model-free Test Time Adaptation for Out-Of-Distribution Detection
Model-free Test Time Adaptation for Out-Of-Distribution Detection
Yi-Fan Zhang
Xue Wang
Tian Zhou
Kun Yuan
Zhang Zhang
Liang Wang
Rong Jin
Tien-Ping Tan
TTA
OODD
32
4
0
28 Nov 2023
Segment Every Out-of-Distribution Object
Segment Every Out-of-Distribution Object
Wenjie Zhao
Jia Li
Xin Dong
Yu Xiang
Yunhui Guo
40
8
0
27 Nov 2023
ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection
ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection
Yichen Bai
Zongbo Han
Changqing Zhang
Bing Cao
Xiaoheng Jiang
Qinghua Hu
OODD
53
18
0
26 Nov 2023
Maximizing Discrimination Capability of Knowledge Distillation with Energy Function
Maximizing Discrimination Capability of Knowledge Distillation with Energy Function
Seonghak Kim
Gyeongdo Ham
Suin Lee
Donggon Jang
Daeshik Kim
39
4
0
24 Nov 2023
ExCeL : Combined Extreme and Collective Logit Information for Enhancing
  Out-of-Distribution Detection
ExCeL : Combined Extreme and Collective Logit Information for Enhancing Out-of-Distribution Detection
Naveen Karunanayake
Suranga Seneviratne
Sanjay Chawla
OODD
28
1
0
23 Nov 2023
RankFeat&RankWeight: Rank-1 Feature/Weight Removal for
  Out-of-distribution Detection
RankFeat&RankWeight: Rank-1 Feature/Weight Removal for Out-of-distribution Detection
Yue Song
N. Sebe
Wei Wang
OODD
43
1
0
23 Nov 2023
Unified Classification and Rejection: A One-versus-All Framework
Unified Classification and Rejection: A One-versus-All Framework
Zhen Cheng
Xu-Yao Zhang
Cheng-Lin Liu
70
7
0
22 Nov 2023
A Baseline Analysis of Reward Models' Ability To Accurately Analyze
  Foundation Models Under Distribution Shift
A Baseline Analysis of Reward Models' Ability To Accurately Analyze Foundation Models Under Distribution Shift
Will LeVine
Benjamin Pikus
Tony Chen
Sean Hendryx
48
8
0
21 Nov 2023
Towards Few-shot Out-of-Distribution Detection
Towards Few-shot Out-of-Distribution Detection
Jiuqing Dong
Yongbin Gao
Heng Zhou
Jun Cen
Yifan Yao
Sook Yoon
Park Dong Sun
OODD
35
2
0
20 Nov 2023
GAIA: Delving into Gradient-based Attribution Abnormality for
  Out-of-distribution Detection
GAIA: Delving into Gradient-based Attribution Abnormality for Out-of-distribution Detection
Jinggang Chen
Junjie Li
Xiaoyang Qu
Jianzong Wang
Jiguang Wan
Jing Xiao
OODD
30
9
0
16 Nov 2023
Incremental Object-Based Novelty Detection with Feedback Loop
Incremental Object-Based Novelty Detection with Feedback Loop
Simone Caldarella
Elisa Ricci
Rahaf Aljundi
47
0
0
15 Nov 2023
DALA: A Distribution-Aware LoRA-Based Adversarial Attack against
  Language Models
DALA: A Distribution-Aware LoRA-Based Adversarial Attack against Language Models
Yibo Wang
Xiangjue Dong
James Caverlee
Philip S. Yu
29
2
0
14 Nov 2023
EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road
  Autonomy
EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road Autonomy
Xiaoyi Cai
Siddharth Ancha
Lakshay Sharma
Philip R. Osteen
Bernadette Bucher
Stephen Phillips
Jiuguang Wang
Michael Everett
Nicholas Roy
Jonathan P. How
EDL
35
34
0
10 Nov 2023
Improvements on Uncertainty Quantification for Node Classification via
  Distance-Based Regularization
Improvements on Uncertainty Quantification for Node Classification via Distance-Based Regularization
Russell Hart
Linlin Yu
Yifei Lou
Feng Chen
UQCV
30
4
0
10 Nov 2023
Preventing Arbitrarily High Confidence on Far-Away Data in
  Point-Estimated Discriminative Neural Networks
Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks
Ahmad Rashid
Serena Hacker
Guojun Zhang
Agustinus Kristiadi
Pascal Poupart
OODD
46
0
0
07 Nov 2023
Out-of-distribution Detection Learning with Unreliable
  Out-of-distribution Sources
Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources
Haotian Zheng
Qizhou Wang
Zhen Fang
Xiaobo Xia
Feng Liu
Tongliang Liu
Bo Han
157
25
0
06 Nov 2023
Learning to Augment Distributions for Out-of-Distribution Detection
Learning to Augment Distributions for Out-of-Distribution Detection
Qizhou Wang
Zhen Fang
Yonggang Zhang
Feng Liu
Yixuan Li
Bo Han
OODD
47
35
0
03 Nov 2023
Detecting Out-of-Distribution Through the Lens of Neural Collapse
Detecting Out-of-Distribution Through the Lens of Neural Collapse
Litian Liu
Yao Qin
OODD
48
5
0
02 Nov 2023
Mahalanobis-Aware Training for Out-of-Distribution Detection
Mahalanobis-Aware Training for Out-of-Distribution Detection
Connor Mclaughlin
J. Matterer
Michael Yee
OODD
27
0
0
01 Nov 2023
DataZoo: Streamlining Traffic Classification Experiments
DataZoo: Streamlining Traffic Classification Experiments
Jan Luxemburk
Karel Hynek
27
5
0
30 Oct 2023
Out-of-distribution Object Detection through Bayesian Uncertainty
  Estimation
Out-of-distribution Object Detection through Bayesian Uncertainty Estimation
Tianhao Zhang
Shenglin Wang
N. Bouaynaya
R. Calinescu
Lyudmila Mihaylova
OODD
21
2
0
29 Oct 2023
Classifier-head Informed Feature Masking and Prototype-based Logit
  Smoothing for Out-of-Distribution Detection
Classifier-head Informed Feature Masking and Prototype-based Logit Smoothing for Out-of-Distribution Detection
Zhuohao Sun
Yiqiao Qiu
Zhijun Tan
Weishi Zheng
Ruixuan Wang
OODD
22
6
0
27 Oct 2023
Low-Dimensional Gradient Helps Out-of-Distribution Detection
Low-Dimensional Gradient Helps Out-of-Distribution Detection
Yingwen Wu
Tao Li
Xinwen Cheng
Jie Yang
Xiaolin Huang
OODD
62
3
0
26 Oct 2023
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection
Sangha Park
J. Mok
Dahuin Jung
Saehyung Lee
Sung-Hoon Yoon
40
10
0
25 Oct 2023
Contextualised Out-of-Distribution Detection using Pattern Identication
Contextualised Out-of-Distribution Detection using Pattern Identication
Romain Xu-Darme
Julien Girard-Satabin
Darryl Hond
Gabriele Incorvaia
Zakaria Chihani
OODD
33
0
0
24 Oct 2023
Universal Domain Adaptation for Robust Handling of Distributional Shifts
  in NLP
Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP
Sungmin Cho
Hyunsoo Cho
Sang-Woo Lee
Junyeob Kim
Choonghyun Park
Sang-goo Lee
Kang Min Yoo
Taeuk Kim
VLM
OOD
53
1
0
23 Oct 2023
Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss
  Landscape Perspective
Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss Landscape Perspective
Kun Fang
Qinghua Tao
Xiaolin Huang
Jie Yang
OODD
48
2
0
22 Oct 2023
Diversified Outlier Exposure for Out-of-Distribution Detection via
  Informative Extrapolation
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation
Jianing Zhu
Geng Yu
Jiangchao Yao
Tongliang Liu
Gang Niu
Masashi Sugiyama
Bo Han
OODD
39
30
0
21 Oct 2023
STANLEY: Stochastic Gradient Anisotropic Langevin Dynamics for Learning
  Energy-Based Models
STANLEY: Stochastic Gradient Anisotropic Langevin Dynamics for Learning Energy-Based Models
Belhal Karimi
Jianwen Xie
Ping Li
DiffM
46
0
0
19 Oct 2023
Open-World Lifelong Graph Learning
Open-World Lifelong Graph Learning
Marcel Hoffmann
Lukas Galke
A. Scherp
26
5
0
19 Oct 2023
Be Bayesian by Attachments to Catch More Uncertainty
Be Bayesian by Attachments to Catch More Uncertainty
Shiyu Shen
Bin Pan
Tianyang Shi
Tao Li
Zhenwei Shi
UQCV
42
0
0
19 Oct 2023
Conformal Drug Property Prediction with Density Estimation under
  Covariate Shift
Conformal Drug Property Prediction with Density Estimation under Covariate Shift
Siddhartha Laghuvarapu
Zhen Lin
Jimeng Sun
28
4
0
18 Oct 2023
Towards Open World Active Learning for 3D Object Detection
Towards Open World Active Learning for 3D Object Detection
Zhuoxiao Chen
Yadan Luo
Zixin Wang
Zijian Wang
Xin Yu
Zi Huang
32
0
0
16 Oct 2023
SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection
SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection
Zhihao Ding
Jieming Shi
Shiqi Shen
Xuequn Shang
Jiannong Cao
Zhipeng Wang
Zhi Gong
OODD
OOD
42
4
0
16 Oct 2023
SoTTA: Robust Test-Time Adaptation on Noisy Data Streams
SoTTA: Robust Test-Time Adaptation on Noisy Data Streams
Taesik Gong
Yewon Kim
Taeckyung Lee
Sorn Chottananurak
Sung-Ju Lee
TTA
40
27
0
16 Oct 2023
Causality and Independence Enhancement for Biased Node Classification
Causality and Independence Enhancement for Biased Node Classification
Guoxin Chen
Yongqing Wang
Fangda Guo
Qinglang Guo
Jiangli Shao
Huawei Shen
Xueqi Cheng
CML
AI4CE
OOD
45
14
0
14 Oct 2023
Visual Data-Type Understanding does not emerge from Scaling
  Vision-Language Models
Visual Data-Type Understanding does not emerge from Scaling Vision-Language Models
Vishaal Udandarao
Max F. Burg
Samuel Albanie
Matthias Bethge
VLM
39
9
0
12 Oct 2023
DualAug: Exploiting Additional Heavy Augmentation with OOD Data
  Rejection
DualAug: Exploiting Additional Heavy Augmentation with OOD Data Rejection
Zehao Wang
Yiwen Guo
Qizhang Li
Guanglei Yang
Wangmeng Zuo
33
0
0
12 Oct 2023
SEE-OoD: Supervised Exploration For Enhanced Out-of-Distribution
  Detection
SEE-OoD: Supervised Exploration For Enhanced Out-of-Distribution Detection
Xiaoyang Song
Wenbo Sun
Maher Nouiehed
Raed Al Kontar
J. Jin
OODD
40
0
0
12 Oct 2023
Exploring Large Language Models for Multi-Modal Out-of-Distribution
  Detection
Exploring Large Language Models for Multi-Modal Out-of-Distribution Detection
Yi Dai
Hao Lang
Kaisheng Zeng
Fei Huang
Yongbin Li
OODD
31
11
0
12 Oct 2023
Why Train More? Effective and Efficient Membership Inference via
  Memorization
Why Train More? Effective and Efficient Membership Inference via Memorization
Jihye Choi
Shruti Tople
Varun Chandrasekaran
Somesh Jha
TDI
FedML
26
2
0
12 Oct 2023
NECO: NEural Collapse Based Out-of-distribution detection
NECO: NEural Collapse Based Out-of-distribution detection
Mouin Ben Ammar
Nacim Belkhir
Sebastian Popescu
Antoine Manzanera
Gianni Franchi
OODD
37
18
0
10 Oct 2023
Semi-Supervised Object Detection with Uncurated Unlabeled Data for
  Remote Sensing Images
Semi-Supervised Object Detection with Uncurated Unlabeled Data for Remote Sensing Images
Nanqing Liu
Xun Xu
Yingjie Gao
Heng-Chao Li
70
12
0
09 Oct 2023
Understanding the Feature Norm for Out-of-Distribution Detection
Understanding the Feature Norm for Out-of-Distribution Detection
Jaewoo Park
Jacky Chen Long Chai
Jaeho Yoon
Andrew Beng Jin Teoh
OODD
34
12
0
09 Oct 2023
FLatS: Principled Out-of-Distribution Detection with Feature-Based
  Likelihood Ratio Score
FLatS: Principled Out-of-Distribution Detection with Feature-Based Likelihood Ratio Score
Haowei Lin
Yuntian Gu
OODD
29
6
0
08 Oct 2023
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