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Linear Spaces of Meanings: Compositional Structures in Vision-Language
  Models

Linear Spaces of Meanings: Compositional Structures in Vision-Language Models

28 February 2023
Matthew Trager
Pramuditha Perera
L. Zancato
Alessandro Achille
Parminder Bhatia
Stefano Soatto
    CoGe
ArXivPDFHTML

Papers citing "Linear Spaces of Meanings: Compositional Structures in Vision-Language Models"

29 / 29 papers shown
Title
Never Start from Scratch: Expediting On-Device LLM Personalization via Explainable Model Selection
Never Start from Scratch: Expediting On-Device LLM Personalization via Explainable Model Selection
Haoming Wang
Boyuan Yang
Xiangyu Yin
Wei Gao
28
0
0
15 Apr 2025
Concept Lancet: Image Editing with Compositional Representation Transplant
Concept Lancet: Image Editing with Compositional Representation Transplant
Jinqi Luo
Tianjiao Ding
Kwan Ho Ryan Chan
Hancheng Min
Chris Callison-Burch
René Vidal
DiffM
KELM
72
0
0
03 Apr 2025
Not Only Text: Exploring Compositionality of Visual Representations in Vision-Language Models
Not Only Text: Exploring Compositionality of Visual Representations in Vision-Language Models
Davide Berasi
Matteo Farina
Massimiliano Mancini
Elisa Ricci
Nicola Strisciuglio
CoGe
66
0
0
21 Mar 2025
Four Principles for Physically Interpretable World Models
Jordan Peper
Zhenjiang Mao
Yuang Geng
Siyuan Pan
Ivan Ruchkin
105
1
0
04 Mar 2025
Superpose Singular Features for Model Merging
Superpose Singular Features for Model Merging
Haiquan Qiu
You Wu
Quanming Yao
MoMe
43
0
0
15 Feb 2025
Towards Utilising a Range of Neural Activations for Comprehending
  Representational Associations
Towards Utilising a Range of Neural Activations for Comprehending Representational Associations
Laura O'Mahony
Nikola S. Nikolov
David JP O'Sullivan
28
0
0
15 Nov 2024
Measuring similarity between embedding spaces using induced neighborhood
  graphs
Measuring similarity between embedding spaces using induced neighborhood graphs
Tiago Tavares
Fabio Ayres
Paris Smaragdis
19
0
0
13 Nov 2024
A Complexity-Based Theory of Compositionality
A Complexity-Based Theory of Compositionality
Eric Elmoznino
Thomas Jiralerspong
Yoshua Bengio
Guillaume Lajoie
CoGe
56
3
0
18 Oct 2024
Simplifying complex machine learning by linearly separable network
  embedding spaces
Simplifying complex machine learning by linearly separable network embedding spaces
Alexandros Xenos
N. Malod-Dognin
Natasa Przulj
20
0
0
02 Oct 2024
Compositional Structures in Neural Embedding and Interaction
  Decompositions
Compositional Structures in Neural Embedding and Interaction Decompositions
Matthew Trager
Alessandro Achille
Pramuditha Perera
L. Zancato
Stefano Soatto
CoGe
32
0
0
12 Jul 2024
Emergent Visual-Semantic Hierarchies in Image-Text Representations
Emergent Visual-Semantic Hierarchies in Image-Text Representations
Morris Alper
Hadar Averbuch-Elor
VLM
32
6
0
11 Jul 2024
SHINE: Saliency-aware HIerarchical NEgative Ranking for Compositional
  Temporal Grounding
SHINE: Saliency-aware HIerarchical NEgative Ranking for Compositional Temporal Grounding
Zixu Cheng
Yujiang Pu
Shaogang Gong
Parisa Kordjamshidi
Yu Kong
AI4TS
27
0
0
06 Jul 2024
Towards Compositionality in Concept Learning
Towards Compositionality in Concept Learning
Adam Stein
Aaditya Naik
Yinjun Wu
Mayur Naik
Eric Wong
CoGe
37
2
0
26 Jun 2024
PaCE: Parsimonious Concept Engineering for Large Language Models
PaCE: Parsimonious Concept Engineering for Large Language Models
Jinqi Luo
Tianjiao Ding
Kwan Ho Ryan Chan
D. Thaker
Aditya Chattopadhyay
Chris Callison-Burch
René Vidal
CVBM
35
7
0
06 Jun 2024
Contrastive Sparse Autoencoders for Interpreting Planning of
  Chess-Playing Agents
Contrastive Sparse Autoencoders for Interpreting Planning of Chess-Playing Agents
Yoann Poupart
29
0
0
06 Jun 2024
LLaMA-Reg: Using LLaMA 2 for Unsupervised Medical Image Registration
LLaMA-Reg: Using LLaMA 2 for Unsupervised Medical Image Registration
Mingrui Ma
Yu Yang
LM&MA
25
2
0
29 May 2024
Two Effects, One Trigger: On the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-Language Models
Two Effects, One Trigger: On the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-Language Models
Simon Schrodi
David T. Hoffmann
Max Argus
Volker Fischer
Thomas Brox
VLM
50
0
0
11 Apr 2024
Relation Rectification in Diffusion Model
Relation Rectification in Diffusion Model
Yinwei Wu
Xingyi Yang
Xinchao Wang
28
6
0
29 Mar 2024
On the Origins of Linear Representations in Large Language Models
On the Origins of Linear Representations in Large Language Models
Yibo Jiang
Goutham Rajendran
Pradeep Ravikumar
Bryon Aragam
Victor Veitch
59
24
0
06 Mar 2024
Learning Interpretable Concepts: Unifying Causal Representation Learning
  and Foundation Models
Learning Interpretable Concepts: Unifying Causal Representation Learning and Foundation Models
Goutham Rajendran
Simon Buchholz
Bryon Aragam
Bernhard Schölkopf
Pradeep Ravikumar
AI4CE
83
21
0
14 Feb 2024
Self-Discovering Interpretable Diffusion Latent Directions for
  Responsible Text-to-Image Generation
Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation
Hang Li
Chengzhi Shen
Philip H. S. Torr
Volker Tresp
Jindong Gu
24
31
0
28 Nov 2023
Safe-CLIP: Removing NSFW Concepts from Vision-and-Language Models
Safe-CLIP: Removing NSFW Concepts from Vision-and-Language Models
Samuele Poppi
Tobia Poppi
Federico Cocchi
Marcella Cornia
Lorenzo Baraldi
Rita Cucchiara
VLM
19
8
0
27 Nov 2023
The Linear Representation Hypothesis and the Geometry of Large Language
  Models
The Linear Representation Hypothesis and the Geometry of Large Language Models
Kiho Park
Yo Joong Choe
Victor Veitch
LLMSV
MILM
15
134
0
07 Nov 2023
Uncovering Meanings of Embeddings via Partial Orthogonality
Uncovering Meanings of Embeddings via Partial Orthogonality
Yibo Jiang
Bryon Aragam
Victor Veitch
10
15
0
26 Oct 2023
PUG: Photorealistic and Semantically Controllable Synthetic Data for
  Representation Learning
PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning
Florian Bordes
Shashank Shekhar
Mark Ibrahim
Diane Bouchacourt
Pascal Vincent
Ari S. Morcos
23
25
0
08 Aug 2023
TIAM -- A Metric for Evaluating Alignment in Text-to-Image Generation
TIAM -- A Metric for Evaluating Alignment in Text-to-Image Generation
P. Grimal
Hervé Le Borgne
Olivier Ferret
Julien Tourille
EGVM
34
10
0
11 Jul 2023
On the Principles of Parsimony and Self-Consistency for the Emergence of
  Intelligence
On the Principles of Parsimony and Self-Consistency for the Emergence of Intelligence
Y. Ma
Doris Y. Tsao
H. Shum
59
75
0
11 Jul 2022
Learning Graph Embeddings for Open World Compositional Zero-Shot
  Learning
Learning Graph Embeddings for Open World Compositional Zero-Shot Learning
Massimiliano Mancini
Muhammad Ferjad Naeem
Yongqin Xian
Zeynep Akata
CoGe
60
67
0
03 May 2021
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
228
31,150
0
16 Jan 2013
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