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Mitigating Dataset Bias by Using Per-sample Gradient
v1v2v3 (latest)

Mitigating Dataset Bias by Using Per-sample Gradient

31 May 2022
Sumyeong Ahn
Seongyoon Kim
Se-Young Yun
ArXiv (abs)PDFHTML

Papers citing "Mitigating Dataset Bias by Using Per-sample Gradient"

16 / 66 papers shown
Title
Three Factors Influencing Minima in SGD
Three Factors Influencing Minima in SGD
Stanislaw Jastrzebski
Zachary Kenton
Devansh Arpit
Nicolas Ballas
Asja Fischer
Yoshua Bengio
Amos Storkey
76
463
0
13 Nov 2017
On Fairness and Calibration
On Fairness and Calibration
Geoff Pleiss
Manish Raghavan
Felix Wu
Jon M. Kleinberg
Kilian Q. Weinberger
FaML
200
880
0
06 Sep 2017
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
283
8,904
0
25 Aug 2017
Overcoming Catastrophic Forgetting by Incremental Moment Matching
Overcoming Catastrophic Forgetting by Incremental Moment Matching
Sang-Woo Lee
Jin-Hwa Kim
Jaehyun Jun
Jung-Woo Ha
Byoung-Tak Zhang
CLL
70
679
0
24 Mar 2017
Making the V in VQA Matter: Elevating the Role of Image Understanding in
  Visual Question Answering
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
Yash Goyal
Tejas Khot
D. Summers-Stay
Dhruv Batra
Devi Parikh
CoGe
345
3,270
0
02 Dec 2016
Overcoming catastrophic forgetting in neural networks
Overcoming catastrophic forgetting in neural networks
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
...
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
CLL
369
7,547
0
02 Dec 2016
Entropy-SGD: Biasing Gradient Descent Into Wide Valleys
Entropy-SGD: Biasing Gradient Descent Into Wide Valleys
Pratik Chaudhari
A. Choromańska
Stefano Soatto
Yann LeCun
Carlo Baldassi
C. Borgs
J. Chayes
Levent Sagun
R. Zecchina
ODL
96
774
0
06 Nov 2016
Equality of Opportunity in Supervised Learning
Equality of Opportunity in Supervised Learning
Moritz Hardt
Eric Price
Nathan Srebro
FaML
230
4,329
0
07 Oct 2016
Asymptotic Analysis of Objectives based on Fisher Information in Active
  Learning
Asymptotic Analysis of Objectives based on Fisher Information in Active Learning
J. Sourati
M. Akçakaya
T. Leen
Deniz Erdogmus
Jennifer G. Dy
41
33
0
27 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,322
0
10 Dec 2015
Variance Reduction in SGD by Distributed Importance Sampling
Variance Reduction in SGD by Distributed Importance Sampling
Guillaume Alain
Alex Lamb
Chinnadhurai Sankar
Aaron Courville
Yoshua Bengio
FedML
81
199
0
20 Nov 2015
Convergence Rates of Active Learning for Maximum Likelihood Estimation
Convergence Rates of Active Learning for Maximum Likelihood Estimation
Kamalika Chaudhuri
Sham Kakade
Praneeth Netrapalli
Sujay Sanghavi
52
72
0
08 Jun 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
309
25,081
0
30 Apr 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
463
43,328
0
11 Feb 2015
Deep Learning Face Attributes in the Wild
Deep Learning Face Attributes in the Wild
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
244
8,424
0
28 Nov 2014
Revisiting Natural Gradient for Deep Networks
Revisiting Natural Gradient for Deep Networks
Razvan Pascanu
Yoshua Bengio
ODL
177
389
0
16 Jan 2013
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