Introducing Graph Smoothness Loss for Training Deep Learning
Architectures

Introducing Graph Smoothness Loss for Training Deep Learning Architectures

1 May 2019

Myriam Bontonou

Carlos Lassance

Vincent Gripon

Jian Tang

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Papers citing "Introducing Graph Smoothness Loss for Training Deep Learning Architectures"

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Title
Spatiotemporal Air Quality Mapping in Urban Areas Using Sparse Sensor Data, Satellite Imagery, Meteorological Factors, and Spatial Features Osama Ahmad Zubair Khalid Muhammad Ahmad Tahir M. Uppal 67 0 0 20 Jan 2025
The Geometry of Self-supervised Learning Models and its Impact on Transfer Learning Romain Cosentino Sarath Shekkizhar Mahdi Soltanolkotabi A. Avestimehr Antonio Ortega SSL 98 7 0 18 Sep 2022
Graphs as Tools to Improve Deep Learning Methods Carlos Lassance Myriam Bontonou Mounia Hamidouche Bastien Pasdeloup Lucas Drumetz Vincent Gripon GNN AI4CE AAML 87 0 0 08 Oct 2021
Ensemble Learning with Manifold-Based Data Splitting for Noisy Label Correction Hao-Chiang Shao Hsin-Chieh Wang Weng-Tai Su Chia-Wen Lin NoLa 47 6 0 13 Mar 2021
Representing Deep Neural Networks Latent Space Geometries with Graphs Carlos Lassance Vincent Gripon Antonio Ortega AI4CE 58 15 0 14 Nov 2020
Graph signal processing for machine learning: A review and new perspectives Xiaowen Dong D. Thanou Laura Toni M. Bronstein P. Frossard 94 168 0 31 Jul 2020
DeepNNK: Explaining deep models and their generalization using polytope interpolation Sarath Shekkizhar Antonio Ortega 33 6 0 20 Jul 2020
Robust Deep Graph Based Learning for Binary Classification Minxiang Ye V. Stanković L. Stanković Gene Cheung OOD 76 12 0 06 Dec 2019
Deep geometric knowledge distillation with graphs Carlos Lassance Myriam Bontonou G. B. Hacene Vincent Gripon Jian Tang Antonio Ortega 64 39 0 08 Nov 2019
Improved Visual Localization via Graph Smoothing Carlos Lassance Yasir Latif Ravi Garg Vincent Gripon Ian Reid 56 2 0 07 Nov 2019
OrthoNet: Multilayer Network Data Clustering Mireille El Gheche Giovanni Chierchia P. Frossard 92 24 0 02 Nov 2018