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. 2104.02768
  4. Cited By
Robust Semantic Interpretability: Revisiting Concept Activation Vectors

Robust Semantic Interpretability: Revisiting Concept Activation Vectors

6 April 2021
J. Pfau
A. Young
Jerome Wei
Maria L. Wei
Michael J. Keiser
    FAtt
ArXivPDFHTML

Papers citing "Robust Semantic Interpretability: Revisiting Concept Activation Vectors"

4 / 4 papers shown
Title
Concept-Based Techniques for "Musicologist-friendly" Explanations in a
  Deep Music Classifier
Concept-Based Techniques for "Musicologist-friendly" Explanations in a Deep Music Classifier
Francesco Foscarin
Katharina Hoedt
Verena Praher
A. Flexer
Gerhard Widmer
13
11
0
26 Aug 2022
Concept Embedding Analysis: A Review
Concept Embedding Analysis: A Review
Gesina Schwalbe
19
28
0
25 Mar 2022
Navigating Neural Space: Revisiting Concept Activation Vectors to Overcome Directional Divergence
Navigating Neural Space: Revisiting Concept Activation Vectors to Overcome Directional Divergence
Frederik Pahde
Maximilian Dreyer
Leander Weber
Moritz Weckbecker
Christopher J. Anders
Thomas Wiegand
Wojciech Samek
Sebastian Lapuschkin
55
7
0
07 Feb 2022
Interpretability for Multimodal Emotion Recognition using Concept
  Activation Vectors
Interpretability for Multimodal Emotion Recognition using Concept Activation Vectors
Ashish Ramayee Asokan
Nidarshan Kumar
Anirudh Venkata Ragam
S. Sharath
11
18
0
02 Feb 2022
1