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Factorized Contrastive Learning: Going Beyond Multi-view Redundancy

Factorized Contrastive Learning: Going Beyond Multi-view Redundancy

8 June 2023
Paul Pu Liang
Zihao Deng
Martin Q. Ma
James Y. Zou
Louis-Philippe Morency
Ruslan Salakhutdinov
    SSL
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Papers citing "Factorized Contrastive Learning: Going Beyond Multi-view Redundancy"

34 / 34 papers shown
Title
Enhance Generation Quality of Flow Matching V2A Model via Multi-Step CoT-Like Guidance and Combined Preference Optimization
Enhance Generation Quality of Flow Matching V2A Model via Multi-Step CoT-Like Guidance and Combined Preference Optimization
Haomin Zhang
S.
Haoyu Wang
Zihao Chen
X. Liu
Chaofan Ding
Xinhan Di
31
0
0
28 Mar 2025
STiL: Semi-supervised Tabular-Image Learning for Comprehensive Task-Relevant Information Exploration in Multimodal Classification
STiL: Semi-supervised Tabular-Image Learning for Comprehensive Task-Relevant Information Exploration in Multimodal Classification
Siyi Du
Xinzhe Luo
D. O’Regan
Chen Qin
62
0
0
08 Mar 2025
RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings
RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings
A. Dhakal
S. Sastry
Subash Khanal
Adeel Ahmad
Eric Xing
Nathan Jacobs
48
0
0
27 Feb 2025
Understanding the Emergence of Multimodal Representation Alignment
Understanding the Emergence of Multimodal Representation Alignment
Megan Tjandrasuwita
Chanakya Ekbote
Liu Ziyin
Paul Pu Liang
50
1
0
22 Feb 2025
Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment
Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment
Shuo Wang
Bokui Wang
Zhixiang Shen
Boyan Deng
Zhao Kang
90
1
0
04 Feb 2025
Modality Interactive Mixture-of-Experts for Fake News Detection
Modality Interactive Mixture-of-Experts for Fake News Detection
Yifan Liu
Y. Liu
Z. Li
Ruichen Yao
Yang Zhang
Dong Wang
MoE
31
0
0
21 Jan 2025
Enhancing Contrastive Learning Inspired by the Philosophy of "The Blind Men and the Elephant"
Enhancing Contrastive Learning Inspired by the Philosophy of "The Blind Men and the Elephant"
Yudong Zhang
Ruobing Xie
Jiansheng Chen
X. Sun
Zhanhui Kang
Yu Wang
81
0
0
21 Dec 2024
Multi-label Sequential Sentence Classification via Large Language Model
Multi-label Sequential Sentence Classification via Large Language Model
Mengfei Lan
Lecheng Zheng
Shufan Ming
Halil Kilicoglu
59
1
0
23 Nov 2024
Multimodal Fusion Balancing Through Game-Theoretic Regularization
Multimodal Fusion Balancing Through Game-Theoretic Regularization
Konstantinos Kontras
Thomas Strypsteen
Christos Chatzichristos
Paul P. Liang
Matthew Blaschko
M. D. Vos
31
0
0
11 Nov 2024
Self-Supervised Multi-View Learning for Disentangled Music Audio
  Representations
Self-Supervised Multi-View Learning for Disentangled Music Audio Representations
J. Wilkins
Sivan Ding
Magdalena Fuentes
J. P. Bello
24
0
0
05 Nov 2024
Contrasting with Symile: Simple Model-Agnostic Representation Learning
  for Unlimited Modalities
Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities
A. Saporta
A. Puli
Mark Goldstein
Rajesh Ranganath
SSL
34
0
0
01 Nov 2024
TaxaBind: A Unified Embedding Space for Ecological Applications
TaxaBind: A Unified Embedding Space for Ecological Applications
S. Sastry
Subash Khanal
A. Dhakal
Adeel Ahmad
Nathan Jacobs
55
6
0
01 Nov 2024
An Information Criterion for Controlled Disentanglement of Multimodal Data
An Information Criterion for Controlled Disentanglement of Multimodal Data
Chenyu Wang
Sharut Gupta
Xinyi Zhang
Sana Tonekaboni
Stefanie Jegelka
Tommi Jaakkola
Caroline Uhler
DRL
37
1
0
31 Oct 2024
Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid
  Views
Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views
Xinyue Chen
Yazhou Ren
Jie Xu
Fangfei Lin
X. Pu
Yang Yang
FedML
20
0
0
12 Oct 2024
Channel-aware Contrastive Conditional Diffusion for Multivariate
  Probabilistic Time Series Forecasting
Channel-aware Contrastive Conditional Diffusion for Multivariate Probabilistic Time Series Forecasting
Siyang Li
Yize Chen
Hui Xiong
DiffM
AI4TS
28
0
0
03 Oct 2024
Anchors Aweigh! Sail for Optimal Unified Multi-Modal Representations
Anchors Aweigh! Sail for Optimal Unified Multi-Modal Representations
Minoh Jeong
Min Namgung
Zae Myung Kim
Dongyeop Kang
Yao-Yi Chiang
Alfred Hero
25
0
0
02 Oct 2024
Beyond Redundancy: Information-aware Unsupervised Multiplex Graph
  Structure Learning
Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning
Zhixiang Shen
Shuo Wang
Zhao Kang
25
2
0
25 Sep 2024
What to align in multimodal contrastive learning?
What to align in multimodal contrastive learning?
Benoit Dufumier
J. Castillo-Navarro
D. Tuia
Jean-Philippe Thiran
22
3
0
11 Sep 2024
Causal Contrastive Learning for Counterfactual Regression Over Time
Causal Contrastive Learning for Counterfactual Regression Over Time
Mouad El Bouchattaoui
Myriam Tami
Benoit Lepetit
P. Cournède
CML
AI4TS
38
2
0
01 Jun 2024
ReconBoost: Boosting Can Achieve Modality Reconcilement
ReconBoost: Boosting Can Achieve Modality Reconcilement
Cong Hua
Qianqian Xu
Shilong Bao
Zhiyong Yang
Qingming Huang
38
9
0
15 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
Demonstrating and Reducing Shortcuts in Vision-Language Representation
  Learning
Demonstrating and Reducing Shortcuts in Vision-Language Representation Learning
Maurits J. R. Bleeker
Mariya Hendriksen
Andrew Yates
Maarten de Rijke
VLM
38
3
0
27 Feb 2024
Partial Information Decomposition for Continuous Variables based on
  Shared Exclusions: Analytical Formulation and Estimation
Partial Information Decomposition for Continuous Variables based on Shared Exclusions: Analytical Formulation and Estimation
David A. Ehrlich
Kyle Schick-Poland
Abdullah Makkeh
Felix Lanfermann
Patricia Wollstadt
Michael Wibral
15
9
0
10 Nov 2023
Interpretable Diffusion via Information Decomposition
Interpretable Diffusion via Information Decomposition
Xianghao Kong
Ollie Liu
Han Li
Dani Yogatama
Greg Ver Steeg
18
19
0
12 Oct 2023
Understanding Transferable Representation Learning and Zero-shot
  Transfer in CLIP
Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP
Zixiang Chen
Yihe Deng
Yuanzhi Li
Quanquan Gu
VLM
23
10
0
02 Oct 2023
Decoupling Common and Unique Representations for Multimodal
  Self-supervised Learning
Decoupling Common and Unique Representations for Multimodal Self-supervised Learning
Yi Wang
C. Albrecht
Nassim Ait Ali Braham
Chenying Liu
Zhitong Xiong
Xiaoxiang Zhu
SSL
25
16
0
11 Sep 2023
Foundations and Trends in Multimodal Machine Learning: Principles,
  Challenges, and Open Questions
Foundations and Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions
Paul Pu Liang
Amir Zadeh
Louis-Philippe Morency
16
60
0
07 Sep 2022
Conditional Supervised Contrastive Learning for Fair Text Classification
Conditional Supervised Contrastive Learning for Fair Text Classification
Jianfeng Chi
Will Shand
Yaodong Yu
Kai-Wei Chang
Han Zhao
Yuan Tian
FaML
41
14
0
23 May 2022
Text and Code Embeddings by Contrastive Pre-Training
Text and Code Embeddings by Contrastive Pre-Training
Arvind Neelakantan
Tao Xu
Raul Puri
Alec Radford
Jesse Michael Han
...
Tabarak Khan
Toki Sherbakov
Joanne Jang
Peter Welinder
Lilian Weng
SSL
AI4TS
213
421
0
24 Jan 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
296
7,434
0
11 Nov 2021
MURAL: Multimodal, Multitask Retrieval Across Languages
MURAL: Multimodal, Multitask Retrieval Across Languages
Aashi Jain
Mandy Guo
Krishna Srinivasan
Ting-Li Chen
Sneha Kudugunta
Chao Jia
Yinfei Yang
Jason Baldridge
VLM
115
52
0
10 Sep 2021
VATT: Transformers for Multimodal Self-Supervised Learning from Raw
  Video, Audio and Text
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text
Hassan Akbari
Liangzhe Yuan
Rui Qian
Wei-Hong Chuang
Shih-Fu Chang
Yin Cui
Boqing Gong
ViT
240
577
0
22 Apr 2021
COCO-LM: Correcting and Contrasting Text Sequences for Language Model
  Pretraining
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining
Yu Meng
Chenyan Xiong
Payal Bajaj
Saurabh Tiwary
Paul N. Bennett
Jiawei Han
Xia Song
125
202
0
16 Feb 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy
  Text Supervision
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia
Yinfei Yang
Ye Xia
Yi-Ting Chen
Zarana Parekh
Hieu H. Pham
Quoc V. Le
Yun-hsuan Sung
Zhen Li
Tom Duerig
VLM
CLIP
293
3,693
0
11 Feb 2021
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