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AutoBalance: Optimized Loss Functions for Imbalanced Data

AutoBalance: Optimized Loss Functions for Imbalanced Data

4 January 2022
Mingchen Li
Xuechen Zhang
Christos Thrampoulidis
Jiasi Chen
Samet Oymak
ArXivPDFHTML

Papers citing "AutoBalance: Optimized Loss Functions for Imbalanced Data"

13 / 63 papers shown
Title
Smart Augmentation - Learning an Optimal Data Augmentation Strategy
Smart Augmentation - Learning an Optimal Data Augmentation Strategy
Joseph Lemley
S. Bazrafkan
Peter Corcoran
74
375
0
24 Mar 2017
Learning from Simulated and Unsupervised Images through Adversarial
  Training
Learning from Simulated and Unsupervised Images through Adversarial Training
A. Shrivastava
Tomas Pfister
Oncel Tuzel
J. Susskind
Wenda Wang
Russ Webb
GAN
103
1,801
0
22 Dec 2016
Designing Neural Network Architectures using Reinforcement Learning
Designing Neural Network Architectures using Reinforcement Learning
Bowen Baker
O. Gupta
Nikhil Naik
Ramesh Raskar
110
1,471
0
07 Nov 2016
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
462
5,372
0
05 Nov 2016
Fairness Beyond Disparate Treatment & Disparate Impact: Learning
  Classification without Disparate Mistreatment
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment
Muhammad Bilal Zafar
Isabel Valera
Manuel Gomez Rodriguez
Krishna P. Gummadi
FaML
196
1,206
0
26 Oct 2016
Statistics of Robust Optimization: A Generalized Empirical Likelihood
  Approach
Statistics of Robust Optimization: A Generalized Empirical Likelihood Approach
John C. Duchi
Peter Glynn
Hongseok Namkoong
104
322
0
11 Oct 2016
Equality of Opportunity in Supervised Learning
Equality of Opportunity in Supervised Learning
Moritz Hardt
Eric Price
Nathan Srebro
FaML
222
4,312
0
07 Oct 2016
Relay Backpropagation for Effective Learning of Deep Convolutional
  Neural Networks
Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks
Li Shen
Zhouchen Lin
Qingming Huang
62
291
0
18 Dec 2015
Scalable Gradient-Based Tuning of Continuous Regularization
  Hyperparameters
Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters
Jelena Luketina
Mathias Berglund
Klaus Greff
T. Raiko
55
173
0
20 Nov 2015
Cost Sensitive Learning of Deep Feature Representations from Imbalanced
  Data
Cost Sensitive Learning of Deep Feature Representations from Imbalanced Data
Salman H. Khan
Munawar Hayat
Bennamoun
Ferdous Sohel
R. Togneri
72
882
0
14 Aug 2015
Gradient-based Hyperparameter Optimization through Reversible Learning
Gradient-based Hyperparameter Optimization through Reversible Learning
D. Maclaurin
David Duvenaud
Ryan P. Adams
DD
227
945
0
11 Feb 2015
Cost-Sensitive Support Vector Machines
Cost-Sensitive Support Vector Machines
Hamed Masnadi-Shirazi
Nuno Vasconcelos
Arya Iranmehr
60
181
0
05 Dec 2012
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
371
25,646
0
09 Jun 2011
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