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2312.11536
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Fast Decision Boundary based Out-of-Distribution Detector
15 December 2023
Litian Liu
Yao Qin
OODD
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Papers citing
"Fast Decision Boundary based Out-of-Distribution Detector"
21 / 21 papers shown
Title
Mahalanobis++: Improving OOD Detection via Feature Normalization
Maximilian Mueller
Matthias Hein
OODD
122
1
0
23 May 2025
Going Beyond Conventional OOD Detection
Sudarshan Regmi
OODD
121
1
0
16 Nov 2024
Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation
Seulbi Lee
J. Kim
Sangheum Hwang
LRM
449
2
0
19 Oct 2024
Detecting Out-of-Distribution Through the Lens of Neural Collapse
Litian Liu
Yao Qin
OODD
108
7
0
02 Nov 2023
Mitigating Neural Network Overconfidence with Logit Normalization
Hongxin Wei
Renchunzi Xie
Hao-Ran Cheng
Lei Feng
Bo An
Yixuan Li
OODD
227
286
0
19 May 2022
Out-of-Distribution Detection with Deep Nearest Neighbors
Yiyou Sun
Yifei Ming
Xiaojin Zhu
Yixuan Li
OODD
212
533
0
13 Apr 2022
ReAct: Out-of-distribution Detection With Rectified Activations
Yiyou Sun
Chuan Guo
Yixuan Li
OODD
115
485
0
24 Nov 2021
Out-Of-Distribution Detection With Subspace Techniques And Probabilistic Modeling Of Features
I. Ndiour
Nilesh A. Ahuja
Omesh Tickoo
OODD
48
26
0
08 Dec 2020
Energy-based Out-of-distribution Detection
Weitang Liu
Xiaoyun Wang
John Douglas Owens
Yixuan Li
OODD
273
1,375
0
08 Oct 2020
Prevalence of Neural Collapse during the terminal phase of deep learning training
Vardan Papyan
Xuemei Han
D. Donoho
219
582
0
18 Aug 2020
Supervised Contrastive Learning
Prannay Khosla
Piotr Teterwak
Chen Wang
Aaron Sarna
Yonglong Tian
Phillip Isola
Aaron Maschinot
Ce Liu
Dilip Krishnan
SSL
181
4,580
0
23 Apr 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
111
577
0
26 Feb 2020
Scaling Out-of-Distribution Detection for Real-World Settings
Dan Hendrycks
Steven Basart
Mantas Mazeika
Andy Zou
Joe Kwon
Mohammadreza Mostajabi
Jacob Steinhardt
Basel Alomair
OODD
204
487
0
25 Nov 2019
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks
Kimin Lee
Kibok Lee
Honglak Lee
Jinwoo Shin
OODD
199
2,064
0
10 Jul 2018
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks
Shiyu Liang
Yixuan Li
R. Srikant
UQCV
OODD
171
2,082
0
08 Jun 2017
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
Dan Hendrycks
Kevin Gimpel
UQCV
179
3,482
0
07 Oct 2016
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
859
36,910
0
25 Aug 2016
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OOD
AAML
282
8,587
0
16 Aug 2016
SGDR: Stochastic Gradient Descent with Warm Restarts
I. Loshchilov
Frank Hutter
ODL
352
8,190
0
13 Aug 2016
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images
Anh Totti Nguyen
J. Yosinski
Jeff Clune
AAML
176
3,275
0
05 Dec 2014
Describing Textures in the Wild
Mircea Cimpoi
Subhransu Maji
Iasonas Kokkinos
S. Mohamed
Andrea Vedaldi
3DV
153
2,695
0
14 Nov 2013
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