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2010.03759
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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
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Mengen Luo
Chi Xu
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Outlier detection by ensembling uncertainty with negative objectness
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Matej Grcić
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0
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Towards Trustworthy Reranking: A Simple yet Effective Abstention Mechanism
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Manuel Faysse
Emmanuel Malherbe
C´eline Hudelot
Pierre Colombo
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2
0
20 Feb 2024
Data Distribution Distilled Generative Model for Generalized Zero-Shot Recognition
Yijie Wang
Mingjian Hong
Luwen Huangfu
Shengyue Huang
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39
6
0
18 Feb 2024
Selective Learning: Towards Robust Calibration with Dynamic Regularization
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Yifeng Yang
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Linjun Zhang
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Qinghua Hu
29
4
0
13 Feb 2024
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
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?
Maohao Shen
Jeonghun Ryu
Soumya Ghosh
Yuheng Bu
P. Sattigeri
Subhro Das
Greg Wornell
EDL
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28
2
0
09 Feb 2024
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
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Chun-Fu Chen
Hsiang Hsu
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20
11
0
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Energy-based Domain-Adaptive Segmentation with Depth Guidance
Jinjin Zhu
Zhedong Hu
Tae-Kyun Kim
Lin Wang
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22
2
0
06 Feb 2024
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?
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
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
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
Haodong Lu
Dong Gong
Shuo Wang
Jason Xue
Lina Yao
Kristen Moore
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55
22
0
05 Feb 2024
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
Qinyu Zhao
Ming Xu
Kartik Gupta
Akshay Asthana
Liang Zheng
Stephen Gould
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19
5
0
01 Feb 2024
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
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Jirayu Burapacheep
Yixuan Li
33
44
0
23 Jan 2024
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
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30
0
0
22 Jan 2024
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
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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
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
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Junjun Jiang
Xingyu Hu
Xianming Liu
Xiangyang Ji
37
2
0
12 Jan 2024
UFO: Unidentified Foreground Object Detection in 3D Point Cloud
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Hawook Jeong
Jin Young Choi
3DPC
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Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks
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Mark Heimann
Rushil Anirudh
Danai Koutra
Jayaraman J. Thiagarajan
UQCV
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4
0
07 Jan 2024
EPA: Neural Collapse Inspired Robust Out-of-Distribution Detector
Jiawei Zhang
Yufan Chen
Cheng Jin
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26
6
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03 Jan 2024
Brain Tumor Segmentation Based on Deep Learning, Attention Mechanisms, and Energy-Based Uncertainty Prediction
Zachary Schwehr
Sriman Achanta
26
2
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31 Dec 2023
Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation
Zhuohang Dang
Minnan Luo
Chengyou Jia
Guangwen Dai
Xiao Chang
Jingdong Wang
17
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A Survey on Open-Set Image Recognition
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Qiulei Dong
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32
3
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Towards Reliable AI Model Deployments: Multiple Input Mixup for Out-of-Distribution Detection
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16
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Learning to Prompt Knowledge Transfer for Open-World Continual Learning
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Xin Yang
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Tianrui Li
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12
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22 Dec 2023
How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection?
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22
10
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22 Dec 2023
GROOD: Gradient-Aware Out-of-Distribution Detection
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Sabyasachi Sahoo
Y. Pequignot
Paul Novello
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13
0
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22 Dec 2023
RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis Prediction
Yemin Yu
Luotian Yuan
Ying Wei
Hanyu Gao
Xinhai Ye
Zhihua Wang
Fei Wu
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3
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18 Dec 2023
Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning
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30
14
0
17 Dec 2023
Fast Decision Boundary based Out-of-Distribution Detector
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15
12
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EAT: Towards Long-Tailed Out-of-Distribution Detection
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HAROOD: Human Activity Classification and Out-of-Distribution Detection with Short-Range FMCW Radar
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Muhammet Sami Yavuz
Eckehard G. Steinbach
32
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Managing the unknown: a survey on Open Set Recognition and tangential areas
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31
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GenQ: Quantization in Low Data Regimes with Generative Synthetic Data
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Youngeun Kim
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Souvik Kundu
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Error Discovery by Clustering Influence Embeddings
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Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts
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Likelihood-Aware Semantic Alignment for Full-Spectrum Out-of-Distribution Detection
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Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition
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Model-free Test Time Adaptation for Out-Of-Distribution Detection
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Zhang Zhang
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28 Nov 2023
Segment Every Out-of-Distribution Object
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Xin Dong
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32
8
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27 Nov 2023
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