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Training Confidence-calibrated Classifiers for Detecting
  Out-of-Distribution Samples

Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples

26 November 2017
Kimin Lee
Honglak Lee
Kibok Lee
Jinwoo Shin
    OODD
ArXivPDFHTML

Papers citing "Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples"

50 / 174 papers shown
Title
Open-set Anomaly Segmentation in Complex Scenarios
Open-set Anomaly Segmentation in Complex Scenarios
Song Xia
Yi Yu
Henghui Ding
Wenhan Yang
S. Liu
Alex C. Kot
Xudong Jiang
DiffM
57
0
0
28 Apr 2025
Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art
Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art
Youssef Shoeb
Azarm Nowzad
Hanno Gottschalk
UQCV
85
2
0
04 Mar 2025
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation
Danny Wang
Ruihong Qiu
Guangdong Bai
Zi Huang
110
0
0
09 Feb 2025
Out-of-Distribution Detection using Synthetic Data Generation
Out-of-Distribution Detection using Synthetic Data Generation
Momin Abbas
Muneeza Azmat
R. Horesh
Mikhail Yurochkin
47
1
0
05 Feb 2025
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes
Yuanpeng Tu
Yuxi Li
Boshen Zhang
Liang Liu
Jingyang Zhang
Yishuo Wang
C. Zhao
61
3
0
03 Jan 2025
Pretraining with random noise for uncertainty calibration
Pretraining with random noise for uncertainty calibration
Jeonghwan Cheon
Se-Bum Paik
OnRL
43
0
0
23 Dec 2024
Your Data Is Not Perfect: Towards Cross-Domain Out-of-Distribution Detection in Class-Imbalanced Data
Your Data Is Not Perfect: Towards Cross-Domain Out-of-Distribution Detection in Class-Imbalanced Data
Xiang Fang
Arvind Easwaran
B. Genest
Ponnuthurai Nagaratnam Suganthan
83
14
0
09 Dec 2024
Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation
Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation
Seulbi Lee
J. Kim
Sangheum Hwang
LRM
130
0
0
19 Oct 2024
Artificial Kuramoto Oscillatory Neurons
Artificial Kuramoto Oscillatory Neurons
Takeru Miyato
Sindy Lowe
Andreas Geiger
Max Welling
AI4CE
75
6
0
17 Oct 2024
Building Real-time Awareness of Out-of-distribution in Trajectory Prediction for Autonomous Vehicles
Building Real-time Awareness of Out-of-distribution in Trajectory Prediction for Autonomous Vehicles
Tongfei
Guo
Rui Liu
Lili Su
40
1
0
25 Sep 2024
Recent Advances in OOD Detection: Problems and Approaches
Recent Advances in OOD Detection: Problems and Approaches
Shuo Lu
YingSheng Wang
Lijun Sheng
Aihua Zheng
Lingxiao He
Jian Liang
OODD
68
3
0
18 Sep 2024
Uncertainty-Guided Appearance-Motion Association Network for Out-of-Distribution Action Detection
Uncertainty-Guided Appearance-Motion Association Network for Out-of-Distribution Action Detection
Xiang Fang
Arvind Easwaran
B. Genest
36
4
0
16 Sep 2024
Proto-OOD: Enhancing OOD Object Detection with Prototype Feature Similarity
Proto-OOD: Enhancing OOD Object Detection with Prototype Feature Similarity
Junkun Chen
Jilin Mei
Liang Chen
Fangzhou Zhao
Yu Hu
Yu Hu
ObjD
40
0
0
09 Sep 2024
Can OOD Object Detectors Learn from Foundation Models?
Can OOD Object Detectors Learn from Foundation Models?
Jiahui Liu
Xin Wen
Shizhen Zhao
Y. Chen
Xiaojuan Qi
OODD
38
2
0
08 Sep 2024
Towards Open-World Object-based Anomaly Detection via Self-Supervised
  Outlier Synthesis
Towards Open-World Object-based Anomaly Detection via Self-Supervised Outlier Synthesis
Brian K. S. Isaac-Medina
Yona Falinie A. Gaus
Neelanjan Bhowmik
T. Breckon
28
2
0
22 Jul 2024
ReMoDetect: Reward Models Recognize Aligned LLM's Generations
ReMoDetect: Reward Models Recognize Aligned LLM's Generations
Hyunseok Lee
Jihoon Tack
Jinwoo Shin
DeLMO
40
0
0
27 May 2024
Unveiling the Potential: Harnessing Deep Metric Learning to Circumvent
  Video Streaming Encryption
Unveiling the Potential: Harnessing Deep Metric Learning to Circumvent Video Streaming Encryption
Arwin Gansekoele
Tycho Bot
R. V. D. Mei
S. Bhulai
Mark Hoogendoorn
28
0
0
16 May 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
43
0
0
06 Mar 2024
Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD
  Generalization
Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization
Yuhang Zang
Hanlin Goh
Josh Susskind
Chen Huang
VLM
37
12
0
29 Jan 2024
Latency-aware Road Anomaly Segmentation in Videos: A Photorealistic
  Dataset and New Metrics
Latency-aware Road Anomaly Segmentation in Videos: A Photorealistic Dataset and New Metrics
Beiwen Tian
Huan-ang Gao
Leiyao Cui
Yupeng Zheng
Lan Luo
Baofeng Wang
Rong Zhi
Guyue Zhou
Hao Zhao
26
4
0
10 Jan 2024
Universal Domain Adaptation for Robust Handling of Distributional Shifts
  in NLP
Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP
Hyuhng Joon Kim
Hyunsoo Cho
Sang-Woo Lee
Junyeob Kim
Choonghyun Park
Sang-goo Lee
Kang Min Yoo
Taeuk Kim
VLM
OOD
45
1
0
23 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
34
30
0
21 Oct 2023
Out-of-distribution detection using normalizing flows on the data manifold
Out-of-distribution detection using normalizing flows on the data manifold
S. Razavi
M. Mehmanchi
Reshad Hosseini
Mostafa Tavassolipour
OODD
48
0
0
26 Aug 2023
Learning on Graphs with Out-of-Distribution Nodes
Learning on Graphs with Out-of-Distribution Nodes
Yunho Song
Donglin Wang
OODD
19
38
0
13 Aug 2023
HOOD: Real-Time Human Presence and Out-of-Distribution Detection Using
  FMCW Radar
HOOD: Real-Time Human Presence and Out-of-Distribution Detection Using FMCW Radar
Sabri Mustafa Kahya
Muhammet Sami Yavuz
Eckehard Steinbach
33
3
0
24 Jul 2023
U-CE: Uncertainty-aware Cross-Entropy for Semantic Segmentation
U-CE: Uncertainty-aware Cross-Entropy for Semantic Segmentation
S. Landgraf
Markus Hillemann
Kira Wursthorn
Markus Ulrich
SSeg
UQCV
26
6
0
19 Jul 2023
Pseudo Outlier Exposure for Out-of-Distribution Detection using
  Pretrained Transformers
Pseudo Outlier Exposure for Out-of-Distribution Detection using Pretrained Transformers
Jaeyoung Kim
Kyuheon Jung
Dongbin Na
Sion Jang
Eunbin Park
Sungchul Choi
OODD
32
6
0
18 Jul 2023
Training Ensembles with Inliers and Outliers for Semi-supervised Active
  Learning
Training Ensembles with Inliers and Outliers for Semi-supervised Active Learning
Vladan Stojnić
Zakaria Laskar
Giorgos Tolias
34
0
0
07 Jul 2023
Robust Uncertainty Estimation for Classification of Maritime Objects
Robust Uncertainty Estimation for Classification of Maritime Objects
J. Becktor
Frederik E. T. Schöller
Evangelos Boukas
Lazaros Nalpantidis
UQCV
OOD
42
2
0
03 Jul 2023
Image Background Serves as Good Proxy for Out-of-distribution Data
Image Background Serves as Good Proxy for Out-of-distribution Data
Sen Pei
39
1
0
02 Jul 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
40
12
0
06 Jun 2023
Towards Semi-supervised Universal Graph Classification
Towards Semi-supervised Universal Graph Classification
Xiao Luo
Yusheng Zhao
Yifang Qin
Wei Ju
Ming Zhang
30
30
0
31 May 2023
E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition
E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition
Zhen Zhang
Mengting Hu
Shiwan Zhao
Minlie Huang
Haotian Wang
Lemao Liu
Zhirui Zhang
Zhe Liu
Bingzhe Wu
EDL
38
10
0
29 May 2023
Maskomaly:Zero-Shot Mask Anomaly Segmentation
Maskomaly:Zero-Shot Mask Anomaly Segmentation
J. Ackermann
Christos Sakaridis
F. I. F. Richard Yu
ISeg
33
23
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
35
10
0
26 May 2023
Student-friendly Knowledge Distillation
Student-friendly Knowledge Distillation
Mengyang Yuan
Bo Lang
Fengnan Quan
20
17
0
18 May 2023
Enhancing Multiple Reliability Measures via Nuisance-extended
  Information Bottleneck
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck
Jongheon Jeong
Sihyun Yu
Hankook Lee
Jinwoo Shin
AAML
44
0
0
24 Mar 2023
WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant
  Analysis
WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant Analysis
Yiye Chen
Yunzhi Lin
Ruinian Xu
Patricio A. Vela
OODD
26
3
0
14 Mar 2023
Non-Parametric Outlier Synthesis
Non-Parametric Outlier Synthesis
Leitian Tao
Xuefeng Du
Xiaojin Zhu
Yixuan Li
OODD
19
98
0
06 Mar 2023
Average of Pruning: Improving Performance and Stability of
  Out-of-Distribution Detection
Average of Pruning: Improving Performance and Stability of Out-of-Distribution Detection
Zhen Cheng
Fei Zhu
Xu-Yao Zhang
Cheng-Lin Liu
MoMe
OODD
40
11
0
02 Mar 2023
DC4L: Distribution Shift Recovery via Data-Driven Control for Deep
  Learning Models
DC4L: Distribution Shift Recovery via Data-Driven Control for Deep Learning Models
Vivian Lin
Kuk Jin Jang
Souradeep Dutta
Michele Caprio
O. Sokolsky
Insup Lee
OOD
31
6
0
20 Feb 2023
Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive
  Learning
Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning
Chaoxi Niu
Guansong Pang
Ling-Hao Chen
24
9
0
31 Jan 2023
Free Lunch for Generating Effective Outlier Supervision
Sen Pei
Jiaxi Sun
R. Xu
Bin Fan
Shiming Xiang
Gaofeng Meng
OODD
42
0
0
17 Jan 2023
Distinguish Sense from Nonsense: Out-of-Scope Detection for Virtual
  Assistants
Distinguish Sense from Nonsense: Out-of-Scope Detection for Virtual Assistants
Cheng Qian
Haode Qi
Gengyu Wang
L. Kunc
Saloni Potdar
33
4
0
16 Jan 2023
Annealing Double-Head: An Architecture for Online Calibration of Deep
  Neural Networks
Annealing Double-Head: An Architecture for Online Calibration of Deep Neural Networks
Erdong Guo
D. Draper
Maria de Iorio
35
0
0
27 Dec 2022
Supervised Contrastive Prototype Learning: Augmentation Free Robust
  Neural Network
Supervised Contrastive Prototype Learning: Augmentation Free Robust Neural Network
Iordanis Fostiropoulos
Laurent Itti
31
1
0
26 Nov 2022
TrustGAN: Training safe and trustworthy deep learning models through
  generative adversarial networks
TrustGAN: Training safe and trustworthy deep learning models through generative adversarial networks
Hélion Marie du Mas des Bourboux
21
1
0
25 Nov 2022
Estimating Soft Labels for Out-of-Domain Intent Detection
Estimating Soft Labels for Out-of-Domain Intent Detection
Hao Lang
Yinhe Zheng
Jian Sun
Feiling Huang
Luo Si
Yongbin Li
35
15
0
10 Nov 2022
Augmentation by Counterfactual Explanation -- Fixing an Overconfident
  Classifier
Augmentation by Counterfactual Explanation -- Fixing an Overconfident Classifier
Sumedha Singla
Nihal Murali
Forough Arabshahi
Sofia Triantafyllou
Kayhan Batmanghelich
CML
59
4
0
21 Oct 2022
Enhancing Out-of-Distribution Detection in Natural Language
  Understanding via Implicit Layer Ensemble
Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer Ensemble
Hyunsoo Cho
Choonghyun Park
Jaewoo Kang
Kang Min Yoo
Taeuk Kim
Sang-goo Lee
OODD
24
8
0
20 Oct 2022
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