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Mitigating Dataset Bias by Using Per-sample Gradient
31 May 2022
Sumyeong Ahn
Seongyoon Kim
Se-Young Yun
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Papers citing
"Mitigating Dataset Bias by Using Per-sample Gradient"
16 / 66 papers shown
Title
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
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
Han Xiao
Kashif Rasul
Roland Vollgraf
283
8,904
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25 Aug 2017
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
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
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
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
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
J. Sourati
M. Akçakaya
T. Leen
Deniz Erdogmus
Jennifer G. Dy
41
33
0
27 May 2016
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
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
Kamalika Chaudhuri
Sham Kakade
Praneeth Netrapalli
Sujay Sanghavi
52
72
0
08 Jun 2015
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
Sergey Ioffe
Christian Szegedy
OOD
463
43,328
0
11 Feb 2015
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
Razvan Pascanu
Yoshua Bengio
ODL
177
389
0
16 Jan 2013
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