Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1809.03576
Cited By
Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers
4 September 2018
Apoorv Vyas
Nataraj Jammalamadaka
Xia Zhu
Dipankar Das
Bharat Kaul
Theodore L. Willke
OODD
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers"
50 / 58 papers shown
Title
Adversarial Training of Reward Models
Alexander Bukharin
Haifeng Qian
Shengyang Sun
Adithya Renduchintala
Soumye Singhal
Zhilin Wang
Oleksii Kuchaiev
Olivier Delalleau
T. Zhao
AAML
32
0
0
08 Apr 2025
Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies
Chen Xu
Tony Nguyen
Emma Dixon
Christopher Rodriguez
Patrick "Tree" Miller
Robert Lee
Paarth Shah
Rares Ambrus
Haruki Nishimura
Masha Itkina
OffRL
89
2
0
11 Mar 2025
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
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
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
Xiang Fang
Arvind Easwaran
B. Genest
36
4
0
16 Sep 2024
Uncertainty-Aware Deep Neural Representations for Visual Analysis of Vector Field Data
Atul Kumar
S. Garg
Soumya Dutta
53
0
0
23 Jul 2024
Open-World Semantic Segmentation Including Class Similarity
Matteo Sodano
Federico Magistri
Lucas Nunes
Jens Behley
C. Stachniss
VLM
42
8
0
12 Mar 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
Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation
Chengming Hu
Haolun Wu
Xuan Li
Chen-li Ma
Xi Chen
Jun Yan
Boyu Wang
Xue Liu
35
3
0
22 Dec 2023
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
18
6
0
27 Oct 2023
Learning on Graphs with Out-of-Distribution Nodes
Yunho Song
Donglin Wang
OODD
19
38
0
13 Aug 2023
Towards Semi-supervised Universal Graph Classification
Xiao Luo
Yusheng Zhao
Yifang Qin
Wei Ju
Ming Zhang
33
30
0
31 May 2023
EvCenterNet: Uncertainty Estimation for Object Detection using Evidential Learning
Monish R. Nallapareddy
Kshitij Sirohi
Paulo L. J. Drews-Jr
Wolfram Burgard
Chih-Hong Cheng
Abhinav Valada
EDL
33
7
0
06 Mar 2023
Deep Fake Detection, Deterrence and Response: Challenges and Opportunities
Amin Azmoodeh
Ali Dehghantanha
42
2
0
26 Nov 2022
Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction
Masha Itkina
Mykel J. Kochenderfer
EDL
UQCV
26
26
0
16 Nov 2022
Identifying Out-of-Distribution Samples in Real-Time for Safety-Critical 2D Object Detection with Margin Entropy Loss
Yannik Blei
Nicolas Jourdan
Nils Gählert
OODD
16
3
0
01 Sep 2022
Probing Contextual Diversity for Dense Out-of-Distribution Detection
Silvio Galesso
M. A. Bravo
Mehdi Naouar
Thomas Brox
21
4
0
30 Aug 2022
Batch-Ensemble Stochastic Neural Networks for Out-of-Distribution Detection
Xiongjie Chen
Yunpeng Li
Yongxin Yang
UQCV
OODD
29
3
0
26 Jun 2022
Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline
Peng Wu
Xiaosong Jia
Li Chen
Junchi Yan
Hongyang Li
Yu Qiao
30
182
0
16 Jun 2022
Robust Representation via Dynamic Feature Aggregation
Haozhe Liu
Haoqin Ji
Yuexiang Li
Nanjun He
Haoqian Wu
Feng Liu
Linlin Shen
Yefeng Zheng
AAML
OOD
32
3
0
16 May 2022
Few-shot Learning with Noisy Labels
Kevin J Liang
Samrudhdhi B. Rangrej
Vladan Petrovic
Tal Hassner
NoLa
22
47
0
12 Apr 2022
Full-Spectrum Out-of-Distribution Detection
Jingkang Yang
Kaiyang Zhou
Ziwei Liu
OODD
23
57
0
11 Apr 2022
RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection
Umar Khalid
Ashkan Esmaeili
Nazmul Karim
Nazanin Rahnavard
OODD
39
12
0
06 Apr 2022
Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model
Yu Du
Fangyun Wei
Zihe Zhang
Miaojing Shi
Yue Gao
Guoqi Li
VPVLM
VLM
26
322
0
28 Mar 2022
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection
Yingwei Li
Adams Wei Yu
Tianjian Meng
Benjamin Caine
Jiquan Ngiam
...
Yifeng Lu
Denny Zhou
Quoc V. Le
Alan Yuille
Mingxing Tan
3DPC
37
329
0
15 Mar 2022
Uncertainty Estimation for Language Reward Models
Adam Gleave
G. Irving
UQLM
34
31
0
14 Mar 2022
Layer Adaptive Deep Neural Networks for Out-of-distribution Detection
Haoliang Wang
Chengli Zhao
Xujiang Zhao
Feng Chen
OODD
16
7
0
01 Mar 2022
GradTail: Learning Long-Tailed Data Using Gradient-based Sample Weighting
Zhao Chen
Vincent Casser
Henrik Kretzschmar
Dragomir Anguelov
26
5
0
16 Jan 2022
Learning to Be Cautious
Montaser Mohammedalamen
Dustin Morrill
Alexander Sieusahai
Yash Satsangi
Michael Bowling
18
3
0
29 Oct 2021
Addressing out-of-distribution label noise in webly-labelled data
Paul Albert
Diego Ortego
Eric Arazo
Noel E. O'Connor
Kevin McGuinness
NoLa
16
16
0
26 Oct 2021
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
185
879
0
21 Oct 2021
A novel network training approach for open set image recognition
Md Tahmid Hossaina
S. Teng
Guojun Lu
Ferdous Sohel
21
0
0
27 Sep 2021
SoK: Machine Learning Governance
Varun Chandrasekaran
Hengrui Jia
Anvith Thudi
Adelin Travers
Mohammad Yaghini
Nicolas Papernot
38
16
0
20 Sep 2021
GOLD: Improving Out-of-Scope Detection in Dialogues using Data Augmentation
Derek Chen
Zhou Yu
27
31
0
07 Sep 2021
Semantically Coherent Out-of-Distribution Detection
Jingkang Yang
Haoqi Wang
Xue Jiang
Xiaopeng Yan
Huabin Zheng
Wayne Zhang
Ziwei Liu
OODD
28
125
0
26 Aug 2021
CODEs: Chamfer Out-of-Distribution Examples against Overconfidence Issue
Keke Tang
Dingruibo Miao
Weilong Peng
Jianpeng Wu
Yawen Shi
Zhaoquan Gu
Zhihong Tian
Wenping Wang
OODD
145
30
0
13 Aug 2021
A Survey of Uncertainty in Deep Neural Networks
J. Gawlikowski
Cedrique Rovile Njieutcheu Tassi
Mohsin Ali
Jongseo Lee
Matthias Humt
...
R. Roscher
Muhammad Shahzad
Wen Yang
R. Bamler
Xiaoxiang Zhu
BDL
UQCV
OOD
41
1,111
0
07 Jul 2021
Towards Consistent Predictive Confidence through Fitted Ensembles
Navid Kardan
Ankit Sharma
Kenneth O. Stanley
FedML
OODD
16
8
0
22 Jun 2021
Selective Probabilistic Classifier Based on Hypothesis Testing
Saeed Bakhshi Germi
Esa Rahtu
H. Huttunen
22
1
0
09 May 2021
SSD: A Unified Framework for Self-Supervised Outlier Detection
Vikash Sehwag
M. Chiang
Prateek Mittal
OODD
31
330
0
22 Mar 2021
Bridging In- and Out-of-distribution Samples for Their Better Discriminability
Engkarat Techapanurak
Anh-Chuong Dang
Takayuki Okatani
OODD
25
3
0
07 Jan 2021
Anomaly Detection by Recombining Gated Unsupervised Experts
Jan-Philipp Schulze
Philip Sperl
Konstantin Böttinger
29
1
0
31 Aug 2020
Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning
Qing Yu
Daiki Ikami
Go Irie
Kiyoharu Aizawa
14
128
0
22 Jul 2020
Detecting Out-of-distribution Samples via Variational Auto-encoder with Reliable Uncertainty Estimation
Xuming Ran
Mingkun Xu
Lingrui Mei
Qi Xu
Quanying Liu
OODD
UQCV
42
50
0
16 Jul 2020
Contrastive Training for Improved Out-of-Distribution Detection
Jim Winkens
Rudy Bunel
Abhijit Guha Roy
Robert Stanforth
Vivek Natarajan
...
Alan Karthikesalingam
Simon A. A. Kohl
taylan. cemgil
S. M. Ali Eslami
Olaf Ronneberger
OODD
13
234
0
10 Jul 2020
Task-agnostic Out-of-Distribution Detection Using Kernel Density Estimation
Ertunc Erdil
K. Chaitanya
Neerav Karani
E. Konukoglu
OODD
13
7
0
18 Jun 2020
Few-Shot Open-Set Recognition using Meta-Learning
Bo Liu
Hao Kang
Haoxiang Li
G. Hua
Nuno Vasconcelos
BDL
EDL
25
89
0
27 May 2020
Anomalous Example Detection in Deep Learning: A Survey
Saikiran Bulusu
B. Kailkhura
Bo-wen Li
P. Varshney
D. Song
AAML
28
47
0
16 Mar 2020
Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data
Yen-Chang Hsu
Yilin Shen
Hongxia Jin
Z. Kira
OODD
24
558
0
26 Feb 2020
1
2
Next