Learning with Group Invariant Features: A Kernel Perspective

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Learning with Group Invariant Features: A Kernel Perspective

8 June 2015

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Papers citing "Learning with Group Invariant Features: A Kernel Perspective"

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Title
The good, the bad and the ugly sides of data augmentation: An implicit spectral regularization perspective Chi-Heng Lin Chiraag Kaushik Eva L. Dyer Vidya Muthukumar 103 31 0 10 Oct 2022
Understanding the Generalization Benefit of Model Invariance from a Data Perspective Sicheng Zhu Bang An Furong Huang 51 26 0 10 Nov 2021
Provably Strict Generalisation Benefit for Invariance in Kernel Methods Bryn Elesedy 88 27 0 04 Jun 2021
Provably Strict Generalisation Benefit for Equivariant Models Bryn Elesedy Sheheryar Zaidi AI4CE 98 88 0 20 Feb 2021
Convex Representation Learning for Generalized Invariance in Semi-Inner-Product Space Yingyi Ma Vignesh Ganapathiraman Yaoliang Yu Xinhua Zhang 32 1 0 25 Apr 2020
Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning Yifan Hu Siqi Zhang Xin Chen Niao He ODL 109 56 0 25 Feb 2020
A Kernel Theory of Modern Data Augmentation Tri Dao Albert Gu Alexander J. Ratner Virginia Smith Christopher De Sa Christopher Ré 120 193 0 16 Mar 2018
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations Abhishek Kumar P. Sattigeri Avinash Balakrishnan BDL DRL 120 523 0 02 Nov 2017
Group Invariance, Stability to Deformations, and Complexity of Deep Convolutional Representations A. Bietti Julien Mairal 68 8 0 09 Jun 2017
Local Group Invariant Representations via Orbit Embeddings Anant Raj Abhishek Kumar Youssef Mroueh Tom Fletcher Bernhard Schölkopf 91 38 0 06 Dec 2016
Learning from Conditional Distributions via Dual Embeddings Bo Dai Niao He Yunpeng Pan Byron Boots Le Song 88 21 0 15 Jul 2016