Internal Representations of Vision Models Through the Lens of Frames on
Data Manifolds

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Internal Representations of Vision Models Through the Lens of Frames on Data Manifolds

19 November 2022

Grayson Jorgenson

Charles Godfrey

Tegan H. Emerson

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Papers citing "Internal Representations of Vision Models Through the Lens of Frames on Data Manifolds"

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Title
Similarity of Neural Network Models: A Survey of Functional and Representational Measures Max Klabunde Tobias Schumacher M. Strohmaier Florian Lemmerich 139 73 0 10 May 2023
Boomerang: Local sampling on image manifolds using diffusion models Lorenzo Luzi P. Mayer Josue Casco-Rodriguez Ali Siahkoohi Richard G. Baraniuk DiffM 80 20 0 21 Oct 2022
PRIME: A few primitives can boost robustness to common corruptions Apostolos Modas Rahul Rade Guillermo Ortiz-Jiménez Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 56 44 0 27 Dec 2021
Vision Transformers are Robust Learners Sayak Paul Pin-Yu Chen ViT 61 311 0 17 May 2021
The Intrinsic Dimension of Images and Its Impact on Learning Phillip E. Pope Chen Zhu Ahmed Abdelkader Micah Goldblum Tom Goldstein 231 271 0 18 Apr 2021
Do Adversarially Robust ImageNet Models Transfer Better? Hadi Salman Andrew Ilyas Logan Engstrom Ashish Kapoor Aleksander Madry 78 425 0 16 Jul 2020
On Linear Identifiability of Learned Representations Geoffrey Roeder Luke Metz Diederik P. Kingma CML 60 81 0 01 Jul 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization Dan Hendrycks Steven Basart Norman Mu Saurav Kadavath Frank Wang ... Samyak Parajuli Mike Guo Basel Alomair Jacob Steinhardt Justin Gilmer OOD 340 1,740 0 29 Jun 2020
Stable Rank Normalization for Improved Generalization in Neural Networks and GANs Amartya Sanyal Philip Torr P. Dokania 73 47 0 11 Jun 2019
Intrinsic dimension of data representations in deep neural networks A. Ansuini Alessandro Laio Jakob H. Macke D. Zoccolan AI4CE 75 279 0 29 May 2019
Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology Bastian Rieck Matteo Togninalli Christian Bock Michael Moor Max Horn Thomas Gumbsch Karsten Borgwardt 66 111 0 23 Dec 2018
Robustness May Be at Odds with Accuracy Dimitris Tsipras Shibani Santurkar Logan Engstrom Alexander Turner Aleksander Madry AAML 104 1,781 0 30 May 2018
Estimating the intrinsic dimension of datasets by a minimal neighborhood information Elena Facco M. d’Errico Alex Rodriguez Alessandro Laio 51 327 0 19 Mar 2018
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 517 10,330 0 16 Nov 2016
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 883 27,373 0 02 Dec 2015
Deep Learning and the Information Bottleneck Principle Naftali Tishby Noga Zaslavsky DRL 210 1,584 0 09 Mar 2015
Understanding image representations by measuring their equivariance and equivalence Karel Lenc Andrea Vedaldi SSL FAtt 112 533 0 21 Nov 2014
Testing the Manifold Hypothesis Charles Fefferman S. Mitter Hariharan Narayanan 151 534 0 01 Oct 2013