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Relative Representations: Topological and Geometric Perspectives

17 September 2024

Alejandro García-Castellanos

Giovanni Luca Marchetti

Danica Kragic

Martina Scolamiero

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Papers citing "Relative Representations: Topological and Geometric Perspectives"

26 / 26 papers shown

Title
The Platonic Representation Hypothesis Minyoung Huh Brian Cheung Tongzhou Wang Phillip Isola 146 142 0 13 May 2024
Mapping the Multiverse of Latent Representations Jeremy Wayland Corinna Coupette Bastian Rieck 99 8 0 02 Feb 2024
Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks Giovanni Luca Marchetti Christopher Hillar Danica Kragic Sophia Sanborn 87 14 0 13 Dec 2023
From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication Irene Cannistraci Luca Moschella Marco Fumero Valentino Maiorca Emanuele Rodolà 108 14 0 02 Oct 2023
Hidden symmetries of ReLU networks J. E. Grigsby Kathryn A. Lindsey David Rolnick 88 23 0 09 Jun 2023
A Toy Model of Universality: Reverse Engineering How Networks Learn Group Operations Bilal Chughtai Lawrence Chan Neel Nanda 118 103 0 06 Feb 2023
Learning Topology-Preserving Data Representations I. Trofimov D. Cherniavskii Eduard Tulchinskii Nikita Balabin Evgeny Burnaev S. Barannikov 103 23 0 31 Jan 2023
Relative representations enable zero-shot latent space communication Luca Moschella Valentino Maiorca Marco Fumero Antonio Norelli Francesco Locatello Emanuele Rodolà 121 109 0 30 Sep 2022
On the Symmetries of Deep Learning Models and their Internal Representations Charles Godfrey Davis Brown Tegan H. Emerson Henry Kvinge 104 45 0 27 May 2022
Similarity and Matching of Neural Network Representations Adrián Csiszárik Péter Korösi-Szabó Á. Matszangosz Gergely Papp D. Varga 55 71 0 27 Oct 2021
Revisiting Model Stitching to Compare Neural Representations Yamini Bansal Preetum Nakkiran Boaz Barak FedML 120 121 0 14 Jun 2021
The Multilingual Amazon Reviews Corpus Phillip Keung Y. Lu György Szarvas Noah A. Smith 116 204 0 06 Oct 2020
Are All Good Word Vector Spaces Isomorphic? Ivan Vulić Sebastian Ruder Anders Søgaard VLM 60 65 0 08 Apr 2020
Topologically Densified Distributions Christoph Hofer Florian Graf Marc Niethammer Roland Kwitt 85 15 0 12 Feb 2020
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 1.1K 24,645 0 26 Jul 2019
Connectivity-Optimized Representation Learning via Persistent Homology Christoph Hofer Roland Kwitt Mandar Dixit Marc Niethammer 67 77 0 21 Jun 2019
Topological Autoencoders Michael Moor Max Horn Bastian Rieck Karsten Borgwardt 165 150 0 03 Jun 2019
Similarity of Neural Network Representations Revisited Simon Kornblith Mohammad Norouzi Honglak Lee Geoffrey E. Hinton 192 1,442 0 01 May 2019
Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing Hao Fu Chunyuan Li Xiaodong Liu Jianfeng Gao Asli Celikyilmaz Lawrence Carin ODL 85 368 0 25 Mar 2019
A Topological Regularizer for Classifiers via Persistent Homology Chao Chen Xiuyan Ni Qinxun Bai Yusu Wang 110 112 0 27 Jun 2018
Insights on representational similarity in neural networks with canonical correlation Ari S. Morcos M. Raghu Samy Bengio DRL 138 447 0 14 Jun 2018
Convergent Learning: Do different neural networks learn the same representations? Yixuan Li J. Yosinski Jeff Clune Hod Lipson John E. Hopcroft SSL 161 372 0 24 Nov 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 841 43,420 0 11 Feb 2015
Understanding image representations by measuring their equivariance and equivalence Karel Lenc Andrea Vedaldi SSL FAtt 207 538 0 21 Nov 2014
Testing the Manifold Hypothesis Charles Fefferman S. Mitter Hariharan Narayanan 184 539 0 01 Oct 2013
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 344 12,498 0 24 Jun 2012