ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2307.00316
  4. Cited By
SHARCS: Shared Concept Space for Explainable Multimodal Learning

SHARCS: Shared Concept Space for Explainable Multimodal Learning

1 July 2023
Gabriele Dominici
Pietro Barbiero
Lucie Charlotte Magister
Pietro Lio'
Nikola Simidjievski
ArXivPDFHTML

Papers citing "SHARCS: Shared Concept Space for Explainable Multimodal Learning"

3 / 3 papers shown
Title
What Sketch Explainability Really Means for Downstream Tasks
What Sketch Explainability Really Means for Downstream Tasks
Hmrishav Bandyopadhyay
Pinaki Nath Chowdhury
A. Bhunia
Aneeshan Sain
Tao Xiang
Yi-Zhe Song
30
4
0
14 Mar 2024
Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off
Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off
M. Zarlenga
Pietro Barbiero
Gabriele Ciravegna
G. Marra
Francesco Giannini
...
F. Precioso
S. Melacci
Adrian Weller
Pietro Lio'
M. Jamnik
79
52
0
19 Sep 2022
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
236
1,811
0
25 Nov 2016
1