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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 / 812 papers shown
Title
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
Philip H. S. Torr
Grégory Rogez
DiffM
53
4
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
28
0
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
51
15
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
32
2
0
20 Feb 2024
Data Distribution Distilled Generative Model for Generalized Zero-Shot
  Recognition
Data Distribution Distilled Generative Model for Generalized Zero-Shot Recognition
Yijie Wang
Mingjian Hong
Luwen Huangfu
Shengyue Huang
SyDa
39
6
0
18 Feb 2024
Selective Learning: Towards Robust Calibration with Dynamic
  Regularization
Selective Learning: Towards Robust Calibration with Dynamic Regularization
Zongbo Han
Yifeng Yang
Changqing Zhang
Linjun Zhang
Joey Tianyi Zhou
Qinghua Hu
29
4
0
13 Feb 2024
A Closer Look at the Robustness of Contrastive Language-Image
  Pre-Training (CLIP)
A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP)
Weijie Tu
Weijian Deng
Tom Gedeon
UQCV
VLM
20
32
0
12 Feb 2024
Feature Density Estimation for Out-of-Distribution Detection via
  Normalizing Flows
Feature Density Estimation for Out-of-Distribution Detection via Normalizing Flows
Evan D. Cook
Marc-Antoine Lavoie
Steven L. Waslander
OODD
17
2
0
09 Feb 2024
Are Uncertainty Quantification Capabilities of Evidential Deep Learning
  a Mirage?
Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage?
Maohao Shen
Jeonghun Ryu
Soumya Ghosh
Yuheng Bu
P. Sattigeri
Subhro Das
Greg Wornell
EDL
BDL
UQCV
28
2
0
09 Feb 2024
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different
  Views
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views
Yuji Roh
Qingyun Liu
Huan Gui
Zhe Yuan
Yujin Tang
...
Liang Liu
Shuchao Bi
Lichan Hong
Ed H. Chi
Zhe Zhao
43
1
0
07 Feb 2024
OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free
  Class-Incremental Learning
OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning
Wei-Cheng Huang
Chun-Fu Chen
Hsiang Hsu
VLM
20
11
0
06 Feb 2024
Energy-based Domain-Adaptive Segmentation with Depth Guidance
Energy-based Domain-Adaptive Segmentation with Depth Guidance
Jinjin Zhu
Zhedong Hu
Tae-Kyun Kim
Lin Wang
MDE
22
2
0
06 Feb 2024
INSIDE: LLMs' Internal States Retain the Power of Hallucination
  Detection
INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection
Chao Chen
Kai-Chun Liu
Ze Chen
Yi Gu
Yue-bo Wu
Mingyuan Tao
Zhihang Fu
Jieping Ye
HILM
79
83
0
06 Feb 2024
How Does Unlabeled Data Provably Help Out-of-Distribution Detection?
How Does Unlabeled Data Provably Help Out-of-Distribution Detection?
Xuefeng Du
Zhen Fang
Ilias Diakonikolas
Yixuan Li
OODD
41
27
0
05 Feb 2024
Zero-shot Object-Level OOD Detection with Context-Aware Inpainting
Zero-shot Object-Level OOD Detection with Context-Aware Inpainting
Quang-Huy Nguyen
Jin Peng Zhou
Zhenzhen Liu
Khanh-Huyen Bui
Kilian Q. Weinberger
Dung D. Le
18
1
0
05 Feb 2024
Kernel PCA for Out-of-Distribution Detection
Kernel PCA for Out-of-Distribution Detection
Kun Fang
Qinghua Tao
Kexin Lv
M. He
Xiaolin Huang
Jie-jin Yang
OODD
46
2
0
05 Feb 2024
Learning with Mixture of Prototypes for Out-of-Distribution Detection
Learning with Mixture of Prototypes for Out-of-Distribution Detection
Haodong Lu
Dong Gong
Shuo Wang
Jason Xue
Lina Yao
Kristen Moore
OODD
55
22
0
05 Feb 2024
Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection
Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection
Chao Chen
Zhihang Fu
Kai-Chun Liu
Ze Chen
Mingyuan Tao
Jieping Ye
OODD
30
3
0
04 Feb 2024
Towards Optimal Feature-Shaping Methods for Out-of-Distribution
  Detection
Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection
Qinyu Zhao
Ming Xu
Kartik Gupta
Akshay Asthana
Liang Zheng
Stephen Gould
OODD
19
5
0
01 Feb 2024
EdgeOL: Efficient in-situ Online Learning on Edge Devices
EdgeOL: Efficient in-situ Online Learning on Edge Devices
Sheng R. Li
Geng Yuan
Yawen Wu
Yuezhen Dai
Chao Wu
Alex K. Jones
Jingtong Hu
Yanzhi Wang
Xulong Tang
33
0
0
30 Jan 2024
ARGS: Alignment as Reward-Guided Search
ARGS: Alignment as Reward-Guided Search
Maxim Khanov
Jirayu Burapacheep
Yixuan Li
33
44
0
23 Jan 2024
Detecting Out-of-Distribution Samples via Conditional Distribution
  Entropy with Optimal Transport
Detecting Out-of-Distribution Samples via Conditional Distribution Entropy with Optimal Transport
Chuanwen Feng
Wenlong Chen
Ao Ke
Yilong Ren
Xike Xie
S.Kevin Zhou
OODD
30
0
0
22 Jan 2024
Out-of-Distribution Detection & Applications With Ablated Learned Temperature Energy
Out-of-Distribution Detection & Applications With Ablated Learned Temperature Energy
Will LeVine
Benjamin Pikus
Jacob Phillips
Berk Norman
Fernando Amat Gil
Sean Hendryx
OODD
61
1
0
22 Jan 2024
Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift
Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift
Renchunzi Xie
Ambroise Odonnat
Vasilii Feofanov
I. Redko
Jianfeng Zhang
Bo An
UQCV
72
1
0
17 Jan 2024
ML-On-Rails: Safeguarding Machine Learning Models in Software Systems A
  Case Study
ML-On-Rails: Safeguarding Machine Learning Models in Software Systems A Case Study
Hala Abdelkader
Mohamed Abdelrazek
Scott Barnett
Jean-Guy Schneider
Priya Rani
Rajesh Vasa
32
3
0
12 Jan 2024
Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning
Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning
Chenyang Wang
Junjun Jiang
Xingyu Hu
Xianming Liu
Xiangyang Ji
37
2
0
12 Jan 2024
UFO: Unidentified Foreground Object Detection in 3D Point Cloud
UFO: Unidentified Foreground Object Detection in 3D Point Cloud
Hyunjun Choi
Hawook Jeong
Jin Young Choi
3DPC
16
1
0
08 Jan 2024
Accurate and Scalable Estimation of Epistemic Uncertainty for Graph
  Neural Networks
Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks
Puja Trivedi
Mark Heimann
Rushil Anirudh
Danai Koutra
Jayaraman J. Thiagarajan
UQCV
26
4
0
07 Jan 2024
EPA: Neural Collapse Inspired Robust Out-of-Distribution Detector
EPA: Neural Collapse Inspired Robust Out-of-Distribution Detector
Jiawei Zhang
Yufan Chen
Cheng Jin
Lei Zhu
Yuantao Gu
OODD
UQCV
AAML
26
6
0
03 Jan 2024
Brain Tumor Segmentation Based on Deep Learning, Attention Mechanisms,
  and Energy-Based Uncertainty Prediction
Brain Tumor Segmentation Based on Deep Learning, Attention Mechanisms, and Energy-Based Uncertainty Prediction
Zachary Schwehr
Sriman Achanta
26
2
0
31 Dec 2023
Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation
Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation
Zhuohang Dang
Minnan Luo
Chengyou Jia
Guangwen Dai
Xiao Chang
Jingdong Wang
17
6
0
27 Dec 2023
A Survey on Open-Set Image Recognition
A Survey on Open-Set Image Recognition
Jiaying Sun
Qiulei Dong
BDL
ObjD
32
3
0
25 Dec 2023
Towards Reliable AI Model Deployments: Multiple Input Mixup for
  Out-of-Distribution Detection
Towards Reliable AI Model Deployments: Multiple Input Mixup for Out-of-Distribution Detection
Dasol Choi
Dongbin Na
OODD
16
2
0
24 Dec 2023
Learning to Prompt Knowledge Transfer for Open-World Continual Learning
Learning to Prompt Knowledge Transfer for Open-World Continual Learning
Yujie Li
Xin Yang
Hao Wang
Xiangkun Wang
Tianrui Li
VLM
CLL
25
12
0
22 Dec 2023
How to Overcome Curse-of-Dimensionality for Out-of-Distribution
  Detection?
How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection?
Soumya Suvra Ghosal
Yiyou Sun
Yixuan Li
OODD
22
10
0
22 Dec 2023
GROOD: Gradient-Aware Out-of-Distribution Detection
GROOD: Gradient-Aware Out-of-Distribution Detection
Mostafa ElAraby
Sabyasachi Sahoo
Y. Pequignot
Paul Novello
Liam Paull
13
0
0
22 Dec 2023
RetroOOD: Understanding Out-of-Distribution Generalization in
  Retrosynthesis Prediction
RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis Prediction
Yemin Yu
Luotian Yuan
Ying Wei
Hanyu Gao
Xinhai Ye
Zhihua Wang
Fei Wu
OOD
24
3
0
18 Dec 2023
Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated
  Outlier Class Learning
Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning
Wenjun Miao
Guansong Pang
Tianqi Li
Xiaolong Bai
Jingyi Zheng
OODD
30
14
0
17 Dec 2023
Fast Decision Boundary based Out-of-Distribution Detector
Fast Decision Boundary based Out-of-Distribution Detector
Litian Liu
Yao Qin
OODD
15
12
0
15 Dec 2023
EAT: Towards Long-Tailed Out-of-Distribution Detection
EAT: Towards Long-Tailed Out-of-Distribution Detection
Tong Wei
Bo-Lin Wang
Min-Ling Zhang
OODD
18
14
0
14 Dec 2023
HAROOD: Human Activity Classification and Out-of-Distribution Detection
  with Short-Range FMCW Radar
HAROOD: Human Activity Classification and Out-of-Distribution Detection with Short-Range FMCW Radar
Sabri Mustafa Kahya
Muhammet Sami Yavuz
Eckehard G. Steinbach
32
4
0
14 Dec 2023
Managing the unknown: a survey on Open Set Recognition and tangential
  areas
Managing the unknown: a survey on Open Set Recognition and tangential areas
Marcos Barcina-Blanco
J. Lobo
Pablo Garcia-Bringas
Javier Del Ser
VLM
31
2
0
14 Dec 2023
GenQ: Quantization in Low Data Regimes with Generative Synthetic Data
GenQ: Quantization in Low Data Regimes with Generative Synthetic Data
Yuhang Li
Youngeun Kim
Donghyun Lee
Souvik Kundu
Priyadarshini Panda
MQ
25
2
0
07 Dec 2023
Error Discovery by Clustering Influence Embeddings
Error Discovery by Clustering Influence Embeddings
Fulton Wang
Julius Adebayo
Sarah Tan
Diego Garcia-Olano
Narine Kokhlikyan
18
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
29
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
20
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
32
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
30
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
32
8
0
27 Nov 2023
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