Equivariance Discovery by Learned Parameter-Sharing

7 April 2022

Papers citing "Equivariance Discovery by Learned Parameter-Sharing"

7 / 7 papers shown

Title
IMMA: Immunizing text-to-image Models against Malicious Adaptation Yijia Zheng Raymond A. Yeh 50 8 0 30 Nov 2023
Making Vision Transformers Truly Shift-Equivariant Renan A. Rojas-Gomez Teck-Yian Lim Minh N. Do Raymond A. Yeh ViT 36 7 0 25 May 2023
PEFT-Ref: A Modular Reference Architecture and Typology for Parameter-Efficient Finetuning Techniques Mohammed Sabry Anya Belz 38 8 0 24 Apr 2023
Alias-Free Convnets: Fractional Shift Invariance via Polynomial Activations H. Michaeli T. Michaeli Daniel Soudry 21 14 0 14 Mar 2023
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs P. D. Haan Maurice Weiler Taco S. Cohen Max Welling 102 127 0 11 Mar 2020
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,109 0 02 Dec 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 259 3,240 0 24 Nov 2016