Intriguing Equivalence Structures of the Embedding Space of Vision Transformers

28 January 2024

Papers citing "Intriguing Equivalence Structures of the Embedding Space of Vision Transformers"

10 / 10 papers shown

Title
Unsupervised clustering of disturbances in power systems via deep convolutional autoencoders Md Maidul Islam Md. Omar Faruque J. Butterfield Gaurav Singh Thomas A. Cooke 20 3 0 08 Jun 2023
Pyramid Adversarial Training Improves ViT Performance Charles Herrmann Kyle Sargent Lu Jiang Ramin Zabih Huiwen Chang Ce Liu Dilip Krishnan Deqing Sun ViT 62 57 0 30 Nov 2021
BEiT: BERT Pre-Training of Image Transformers Hangbo Bao Li Dong Songhao Piao Furu Wei ViT 99 2,785 0 15 Jun 2021
Analytical bounds on the local Lipschitz constants of ReLU networks Trevor Avant K. Morgansen FAtt 37 12 0 29 Apr 2021
Understanding Robustness of Transformers for Image Classification Srinadh Bhojanapalli Ayan Chakrabarti Daniel Glasner Daliang Li Thomas Unterthiner Andreas Veit ViT 27 382 0 26 Mar 2021
Training data-efficient image transformers & distillation through attention Hugo Touvron Matthieu Cord Matthijs Douze Francisco Massa Alexandre Sablayrolles Hervé Jégou ViT 197 6,657 0 23 Dec 2020
Adversarial Attacks and Defences: A Survey Anirban Chakraborty Manaar Alam Vishal Dey Anupam Chattopadhyay Debdeep Mukhopadhyay AAML OOD 34 676 0 28 Sep 2018
Lipschitz regularity of deep neural networks: analysis and efficient estimation Kevin Scaman Aladin Virmaux 49 523 0 28 May 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 425 3,124 0 04 Nov 2016
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 63 14,831 1 21 Dec 2013