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Deciphering the Role of Representation Disentanglement: Investigating
  Compositional Generalization in CLIP Models
v1v2 (latest)

Deciphering the Role of Representation Disentanglement: Investigating Compositional Generalization in CLIP Models

8 July 2024
Reza Abbasi
M. Rohban
M. Baghshah
    CoGe
ArXiv (abs)PDFHTML

Papers citing "Deciphering the Role of Representation Disentanglement: Investigating Compositional Generalization in CLIP Models"

12 / 12 papers shown
Title
Enhancing Compositional Generalization via Compositional Feature
  Alignment
Enhancing Compositional Generalization via Compositional Feature Alignment
Haoxiang Wang
Haozhe Si
Huajie Shao
Han Zhao
98
2
0
05 Feb 2024
COLA: A Benchmark for Compositional Text-to-image Retrieval
COLA: A Benchmark for Compositional Text-to-image Retrieval
Arijit Ray
Filip Radenovic
Abhimanyu Dubey
Bryan A. Plummer
Ranjay Krishna
Kate Saenko
CoGeVLM
72
37
0
05 May 2023
When and why vision-language models behave like bags-of-words, and what
  to do about it?
When and why vision-language models behave like bags-of-words, and what to do about it?
Mert Yuksekgonul
Federico Bianchi
Pratyusha Kalluri
Dan Jurafsky
James Zou
VLMCoGe
76
393
0
04 Oct 2022
Quality Not Quantity: On the Interaction between Dataset Design and
  Robustness of CLIP
Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP
Thao Nguyen
Gabriel Ilharco
Mitchell Wortsman
Sewoong Oh
Ludwig Schmidt
CLIPVLM
126
105
0
10 Aug 2022
Towards Out-Of-Distribution Generalization: A Survey
Towards Out-Of-Distribution Generalization: A Survey
Jiashuo Liu
Zheyan Shen
Yue He
Xingxuan Zhang
Renzhe Xu
Han Yu
Peng Cui
CMLOOD
149
535
0
31 Aug 2021
Visual Representation Learning Does Not Generalize Strongly Within the
  Same Domain
Visual Representation Learning Does Not Generalize Strongly Within the Same Domain
Lukas Schott
Julius von Kügelgen
Frederik Trauble
Peter V. Gehler
Chris Russell
Matthias Bethge
Bernhard Schölkopf
Francesco Locatello
Wieland Brendel
OODDRL
99
73
0
17 Jul 2021
Learning to Predict Visual Attributes in the Wild
Learning to Predict Visual Attributes in the Wild
Khoi Pham
Kushal Kafle
Zhe Lin
Zhi Ding
Scott D. Cohen
Q. Tran
Abhinav Shrivastava
45
112
0
17 Jun 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
VLMCLIP
448
3,887
0
11 Feb 2021
Compositional Generalization and Natural Language Variation: Can a
  Semantic Parsing Approach Handle Both?
Compositional Generalization and Natural Language Variation: Can a Semantic Parsing Approach Handle Both?
Peter Shaw
Ming-Wei Chang
Panupong Pasupat
Kristina Toutanova
CoGe
76
187
0
24 Oct 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
375
18,859
0
13 Feb 2020
Disentangled Sequential Autoencoder
Disentangled Sequential Autoencoder
Yingzhen Li
Stephan Mandt
CoGe
71
271
0
08 Mar 2018
Learning Deep Disentangled Embeddings with the F-Statistic Loss
Learning Deep Disentangled Embeddings with the F-Statistic Loss
Karl Ridgeway
Michael C. Mozer
FedMLDRLCoGe
69
218
0
14 Feb 2018
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