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Identifiability Results for Multimodal Contrastive Learning

Identifiability Results for Multimodal Contrastive Learning

16 March 2023
Imant Daunhawer
Alice Bizeul
Emanuele Palumbo
Alexander Marx
Julia E. Vogt
ArXivPDFHTML

Papers citing "Identifiability Results for Multimodal Contrastive Learning"

13 / 13 papers shown
Title
Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism
Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism
Ruichu Cai
Kaitao Zheng
Junxian Huang
Zijian Li
Zhengming Chen
Boyan Xu
Zhifeng Hao
AI4TS
CML
31
0
0
12 May 2025
Negate or Embrace: On How Misalignment Shapes Multimodal Representation Learning
Negate or Embrace: On How Misalignment Shapes Multimodal Representation Learning
Yichao Cai
Yuhang Liu
Erdun Gao
T. Jiang
Zhen Zhang
Anton van den Hengel
J. Shi
62
0
0
14 Apr 2025
Sanity Checking Causal Representation Learning on a Simple Real-World System
Sanity Checking Causal Representation Learning on a Simple Real-World System
Juan L. Gamella
Simon Bing
Jakob Runge
CML
50
0
0
27 Feb 2025
What is causal about causal models and representations?
What is causal about causal models and representations?
Frederik Hytting Jørgensen
Luigi Gresele
S. Weichwald
CML
105
0
0
31 Jan 2025
Learning Invariant Causal Mechanism from Vision-Language Models
Learning Invariant Causal Mechanism from Vision-Language Models
Zeen Song
Siyu Zhao
Xingyu Zhang
Jiangmeng Li
Changwen Zheng
Wenwen Qiang
CML
BDL
VLM
39
0
0
24 May 2024
Beyond DAGs: A Latent Partial Causal Model for Multimodal Learning
Beyond DAGs: A Latent Partial Causal Model for Multimodal Learning
Yuhang Liu
Zhen Zhang
Dong Gong
Biwei Huang
Mingming Gong
A. Hengel
Kun Zhang
Javen Qinfeng Shi
J. Shi
43
7
0
09 Feb 2024
Towards Identifiable Unsupervised Domain Translation: A Diversified
  Distribution Matching Approach
Towards Identifiable Unsupervised Domain Translation: A Diversified Distribution Matching Approach
Sagar Shrestha
Xiao Fu
23
3
0
18 Jan 2024
CLAP: Isolating Content from Style through Contrastive Learning with Augmented Prompts
CLAP: Isolating Content from Style through Contrastive Learning with Augmented Prompts
Yichao Cai
Yuhang Liu
Zhen Zhang
Javen Qinfeng Shi
CLIP
VLM
26
5
0
28 Nov 2023
Causal Representation Learning Made Identifiable by Grouping of
  Observational Variables
Causal Representation Learning Made Identifiable by Grouping of Observational Variables
H. Morioka
Aapo Hyvarinen
OOD
CML
BDL
33
9
0
24 Oct 2023
Deep Causal Learning: Representation, Discovery and Inference
Deep Causal Learning: Representation, Discovery and Inference
Zizhen Deng
Xiaolong Zheng
Hu Tian
D. Zeng
CML
BDL
31
11
0
07 Nov 2022
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
255
4,777
0
24 Feb 2021
Contrastive Learning Inverts the Data Generating Process
Contrastive Learning Inverts the Data Generating Process
Roland S. Zimmermann
Yash Sharma
Steffen Schneider
Matthias Bethge
Wieland Brendel
SSL
238
207
0
17 Feb 2021
Weakly-Supervised Disentanglement Without Compromises
Weakly-Supervised Disentanglement Without Compromises
Francesco Locatello
Ben Poole
Gunnar Rätsch
Bernhard Schölkopf
Olivier Bachem
Michael Tschannen
CoGe
OOD
DRL
178
313
0
07 Feb 2020
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