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Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE)

Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE)

16 February 2024
Usha Bhalla
Alexander X. Oesterling
Suraj Srinivas
Flavio du Pin Calmon
Himabindu Lakkaraju
ArXivPDFHTML

Papers citing "Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE)"

7 / 7 papers shown
Title
The Dual Power of Interpretable Token Embeddings: Jailbreaking Attacks and Defenses for Diffusion Model Unlearning
The Dual Power of Interpretable Token Embeddings: Jailbreaking Attacks and Defenses for Diffusion Model Unlearning
Siyi Chen
Yimeng Zhang
Sijia Liu
Q. Qu
AAML
61
0
0
30 Apr 2025
An interpretable approach to automating the assessment of biofouling in video footage
An interpretable approach to automating the assessment of biofouling in video footage
Evelyn J. Mannix
Bartholomew A. Woodham
56
0
0
17 Mar 2025
Universal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment
Universal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment
Harrish Thasarathan
Julian Forsyth
Thomas Fel
M. Kowal
Konstantinos G. Derpanis
95
7
0
06 Feb 2025
ResiDual Transformer Alignment with Spectral Decomposition
ResiDual Transformer Alignment with Spectral Decomposition
Lorenzo Basile
Valentino Maiorca
Luca Bortolussi
Emanuele Rodolà
Francesco Locatello
43
1
0
31 Oct 2024
Linearly Mapping from Image to Text Space
Linearly Mapping from Image to Text Space
Jack Merullo
Louis Castricato
Carsten Eickhoff
Ellie Pavlick
VLM
159
104
0
30 Sep 2022
Post-hoc Concept Bottleneck Models
Post-hoc Concept Bottleneck Models
Mert Yuksekgonul
Maggie Wang
James Y. Zou
133
182
0
31 May 2022
On Interpretability of Deep Learning based Skin Lesion Classifiers using
  Concept Activation Vectors
On Interpretability of Deep Learning based Skin Lesion Classifiers using Concept Activation Vectors
Adriano Lucieri
Muhammad Naseer Bajwa
S. Braun
M. I. Malik
Andreas Dengel
Sheraz Ahmed
MedIm
152
64
0
05 May 2020
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