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Learning with Group Invariant Features: A Kernel Perspective

Learning with Group Invariant Features: A Kernel Perspective

8 June 2015
Youssef Mroueh
S. Voinea
T. Poggio
    VLM
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Papers citing "Learning with Group Invariant Features: A Kernel Perspective"

4 / 4 papers shown
Title
Convex Representation Learning for Generalized Invariance in
  Semi-Inner-Product Space
Convex Representation Learning for Generalized Invariance in Semi-Inner-Product Space
Yingyi Ma
Vignesh Ganapathiraman
Yaoliang Yu
Xinhua Zhang
21
1
0
25 Apr 2020
Biased Stochastic First-Order Methods for Conditional Stochastic
  Optimization and Applications in Meta Learning
Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning
Yifan Hu
Siqi Zhang
Xin Chen
Niao He
ODL
41
55
0
25 Feb 2020
A Kernel Theory of Modern Data Augmentation
A Kernel Theory of Modern Data Augmentation
Tri Dao
Albert Gu
Alexander J. Ratner
Virginia Smith
Christopher De Sa
Christopher Ré
27
190
0
16 Mar 2018
Learning from Conditional Distributions via Dual Embeddings
Learning from Conditional Distributions via Dual Embeddings
Bo Dai
Niao He
Yunpeng Pan
Byron Boots
Le Song
35
21
0
15 Jul 2016
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