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Improving Self-supervised Learning for Out-of-distribution Task via
  Auxiliary Classifier

Improving Self-supervised Learning for Out-of-distribution Task via Auxiliary Classifier

7 September 2022
Harshita Boonlia
T. Dam
Md Meftahul Ferdaus
S. Anavatti
Ankan Mullick
    OODD
ArXiv (abs)PDFHTMLGithub (2★)

Papers citing "Improving Self-supervised Learning for Out-of-distribution Task via Auxiliary Classifier"

13 / 13 papers shown
Title
Does Adversarial Oversampling Help us?
Does Adversarial Oversampling Help us?
T. Dam
Md Meftahul Ferdaus
S. Anavatti
Senthilnath Jayavelu
H. Abbass
138
8
0
20 Aug 2021
Improving ClusterGAN Using Self-Augmented Information Maximization of
  Disentangling Latent Spaces
Improving ClusterGAN Using Self-Augmented Information Maximization of Disentangling Latent Spaces
T. Dam
S. Anavatti
H. Abbass
53
6
0
27 Jul 2021
What Does Rotation Prediction Tell Us about Classifier Accuracy under
  Varying Testing Environments?
What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments?
Weijian Deng
Stephen Gould
Liang Zheng
86
64
0
10 Jun 2021
Computing the Testing Error without a Testing Set
Computing the Testing Error without a Testing Set
C. Corneanu
Meysam Madadi
Sergio Escalera
Aleix M. Martinez
AAML
47
71
0
01 May 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
109
577
0
26 Feb 2020
Invariant Risk Minimization
Invariant Risk Minimization
Martín Arjovsky
Léon Bottou
Ishaan Gulrajani
David Lopez-Paz
OOD
203
2,246
0
05 Jul 2019
Improving Adversarial Robustness via Guided Complement Entropy
Improving Adversarial Robustness via Guided Complement Entropy
Hao-Yun Chen
Jhao-Hong Liang
Shih-Chieh Chang
Jia Pan
Yu-Ting Chen
Wei Wei
Da-Cheng Juan
AAML
48
49
0
23 Mar 2019
Predicting the Generalization Gap in Deep Networks with Margin
  Distributions
Predicting the Generalization Gap in Deep Networks with Margin Distributions
Yiding Jiang
Dilip Krishnan
H. Mobahi
Samy Bengio
UQCV
95
199
0
28 Sep 2018
Do CIFAR-10 Classifiers Generalize to CIFAR-10?
Do CIFAR-10 Classifiers Generalize to CIFAR-10?
Benjamin Recht
Rebecca Roelofs
Ludwig Schmidt
Vaishaal Shankar
OODFedMLELM
184
414
0
01 Jun 2018
Unsupervised Representation Learning by Predicting Image Rotations
Unsupervised Representation Learning by Predicting Image Rotations
Spyros Gidaris
Praveer Singh
N. Komodakis
OODSSLDRL
267
3,303
0
21 Mar 2018
Stronger generalization bounds for deep nets via a compression approach
Stronger generalization bounds for deep nets via a compression approach
Sanjeev Arora
Rong Ge
Behnam Neyshabur
Yi Zhang
MLTAI4CE
95
643
0
14 Feb 2018
A Baseline for Detecting Misclassified and Out-of-Distribution Examples
  in Neural Networks
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
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN3DV
837
36,910
0
25 Aug 2016
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