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Provably Strict Generalisation Benefit for Invariance in Kernel Methods

4 June 2021

Papers citing "Provably Strict Generalisation Benefit for Invariance in Kernel Methods"

25 / 25 papers shown

Title
Learning with Exact Invariances in Polynomial Time Ashkan Soleymani B. Tahmasebi Stefanie Jegelka Patrick Jaillet 213 0 0 27 Feb 2025
Approximation-Generalization Trade-offs under (Approximate) Group Equivariance Mircea Petrache Shubhendu Trivedi 63 24 0 27 May 2023
Learning with invariances in random features and kernel models Song Mei Theodor Misiakiewicz Andrea Montanari OOD 96 90 0 25 Feb 2021
Provably Strict Generalisation Benefit for Equivariant Models Bryn Elesedy Sheheryar Zaidi AI4CE 52 87 0 20 Feb 2021
Better, Faster Fermionic Neural Networks J. Spencer David Pfau Aleksandar Botev W. Foulkes 37 48 0 13 Nov 2020
Improving Transformation Invariance in Contrastive Representation Learning Adam Foster Rattana Pukdee Tom Rainforth 96 23 0 19 Oct 2020
On the Benefits of Invariance in Neural Networks Clare Lyle Mark van der Wilk Marta Z. Kwiatkowska Y. Gal Benjamin Bloem-Reddy OOD BDL 71 95 0 01 May 2020
Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent Jaehoon Lee Lechao Xiao S. Schoenholz Yasaman Bahri Roman Novak Jascha Narain Sohl-Dickstein Jeffrey Pennington 211 1,104 0 18 Feb 2019
On the Universality of Invariant Networks Haggai Maron Ethan Fetaya Nimrod Segol Y. Lipman OOD 155 238 0 27 Jan 2019
Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks Sanjeev Arora S. Du Wei Hu Zhiyuan Li Ruosong Wang MLT 199 972 0 24 Jan 2019
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 215 314 0 05 Nov 2018
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks Juho Lee Yoonho Lee Jungtaek Kim Adam R. Kosiorek Seungjin Choi Yee Whye Teh 119 274 0 01 Oct 2018
Neural Tangent Kernel: Convergence and Generalization in Neural Networks Arthur Jacot Franck Gabriel Clément Hongler 267 3,203 0 20 Jun 2018
Universal approximations of invariant maps by neural networks Dmitry Yarotsky 124 213 0 26 Apr 2018
3D G-CNNs for Pulmonary Nodule Detection M. Winkels Taco S. Cohen MedIm 3DPC 65 107 0 12 Apr 2018
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups Risi Kondor Shubhendu Trivedi MLT 112 500 0 11 Feb 2018
Spherical CNNs Taco S. Cohen Mario Geiger Jonas Köhler Max Welling 156 904 0 30 Jan 2018
Deep Sets Manzil Zaheer Satwik Kottur Siamak Ravanbakhsh Barnabás Póczós Ruslan Salakhutdinov Alex Smola 408 2,464 0 10 Mar 2017
Equivariance Through Parameter-Sharing Siamak Ravanbakhsh J. Schneider Barnabás Póczós 86 258 0 27 Feb 2017
Local Group Invariant Representations via Orbit Embeddings Anant Raj Abhishek Kumar Youssef Mroueh Tom Fletcher Bernhard Schölkopf 50 38 0 06 Dec 2016
Generalization Error of Invariant Classifiers Jure Sokolić Raja Giryes Guillermo Sapiro M. Rodrigues 59 78 0 14 Oct 2016
Group Equivariant Convolutional Networks Taco S. Cohen Max Welling BDL 169 1,936 0 24 Feb 2016
Learning with Group Invariant Features: A Kernel Perspective Youssef Mroueh S. Voinea T. Poggio VLM 46 35 0 08 Jun 2015
Unsupervised Learning of Invariant Representations in Hierarchical Architectures Fabio Anselmi Joel Z Leibo Lorenzo Rosasco Jim Mutch Andrea Tacchetti T. Poggio OCL 78 88 0 17 Nov 2013
Robustness and Generalization Huan Xu Shie Mannor OOD 191 461 0 13 May 2010