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Tree-based Ensemble Learning for Out-of-distribution Detection

Tree-based Ensemble Learning for Out-of-distribution Detection

5 May 2024
Zhaiming Shen
Menglun Wang
Guang Cheng
Ming-Jun Lai
Lin Mu
Ruihao Huang
Qi Liu
Hao Zhu
    OODD
ArXivPDFHTML

Papers citing "Tree-based Ensemble Learning for Out-of-distribution Detection"

14 / 14 papers shown
Title
PnPOOD : Out-Of-Distribution Detection for Text Classification via Plug
  andPlay Data Augmentation
PnPOOD : Out-Of-Distribution Detection for Text Classification via Plug andPlay Data Augmentation
Mrinal Rawat
R. Hebbalaguppe
Lovekesh Vig
OODD
52
10
0
31 Oct 2021
Energy-based Out-of-distribution Detection
Energy-based Out-of-distribution Detection
Weitang Liu
Xiaoyun Wang
John Douglas Owens
Yixuan Li
OODD
271
1,354
0
08 Oct 2020
Generalized ODIN: Detecting Out-of-distribution Image without Learning
  from Out-of-distribution Data
Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data
Yen-Chang Hsu
Yilin Shen
Hongxia Jin
Z. Kira
OODD
93
572
0
26 Feb 2020
Your Classifier is Secretly an Energy Based Model and You Should Treat
  it Like One
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One
Will Grathwohl
Kuan-Chieh Wang
J. Jacobsen
David Duvenaud
Mohammad Norouzi
Kevin Swersky
VLM
78
542
0
06 Dec 2019
Input complexity and out-of-distribution detection with likelihood-based
  generative models
Input complexity and out-of-distribution detection with likelihood-based generative models
Joan Serrà
David Álvarez
Vicencc Gómez
Olga Slizovskaia
José F. Núñez
Jordi Luque
OODD
144
276
0
25 Sep 2019
Likelihood Ratios for Out-of-Distribution Detection
Likelihood Ratios for Out-of-Distribution Detection
Jie Jessie Ren
Peter J. Liu
Emily Fertig
Jasper Snoek
Ryan Poplin
M. DePristo
Joshua V. Dillon
Balaji Lakshminarayanan
OODD
182
721
0
07 Jun 2019
Cold Case: The Lost MNIST Digits
Cold Case: The Lost MNIST Digits
Chhavi Yadav
Léon Bottou
44
105
0
25 May 2019
Deep Anomaly Detection with Outlier Exposure
Deep Anomaly Detection with Outlier Exposure
Dan Hendrycks
Mantas Mazeika
Thomas G. Dietterich
OODD
181
1,476
0
11 Dec 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
268
8,876
0
25 Aug 2017
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection
  Methods
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods
Nicholas Carlini
D. Wagner
AAML
118
1,857
0
20 May 2017
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
524
5,897
0
08 Jul 2016
DeepFool: a simple and accurate method to fool deep neural networks
DeepFool: a simple and accurate method to fool deep neural networks
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
P. Frossard
AAML
146
4,895
0
14 Nov 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
264
19,045
0
20 Dec 2014
Describing Textures in the Wild
Describing Textures in the Wild
Mircea Cimpoi
Subhransu Maji
Iasonas Kokkinos
S. Mohamed
Andrea Vedaldi
3DV
116
2,669
0
14 Nov 2013
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