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Debiasing Vison-Language Models with Text-Only Training

Debiasing Vison-Language Models with Text-Only Training

12 October 2024
Yunfan Yang
Chaoquan Jiang
Zhiyu Lin
Jinlin Xiao
Jiaming Zhang
Jitao Sang
    VLM
ArXiv (abs)PDFHTML

Papers citing "Debiasing Vison-Language Models with Text-Only Training"

22 / 22 papers shown
Title
DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only
  Training
DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only Training
Wei Li
Linchao Zhu
Longyin Wen
Yi Yang
VLM
82
89
0
06 Mar 2023
Texts as Images in Prompt Tuning for Multi-Label Image Recognition
Texts as Images in Prompt Tuning for Multi-Label Image Recognition
Zixian Guo
Bowen Dong
Zhilong Ji
Jinfeng Bai
Yiwen Guo
W. Zuo
VLMVPVLM
91
60
0
23 Nov 2022
I Can't Believe There's No Images! Learning Visual Tasks Using only
  Language Supervision
I Can't Believe There's No Images! Learning Visual Tasks Using only Language Supervision
Sophia Gu
Christopher Clark
Aniruddha Kembhavi
VLM
51
25
0
17 Nov 2022
Text-Only Training for Image Captioning using Noise-Injected CLIP
Text-Only Training for Image Captioning using Noise-Injected CLIP
David Nukrai
Ron Mokady
Amir Globerson
VLMCLIP
122
97
0
01 Nov 2022
Contrastive Adapters for Foundation Model Group Robustness
Contrastive Adapters for Foundation Model Group Robustness
Michael Zhang
Christopher Ré
VLM
54
64
0
14 Jul 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious
  Correlations
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations
Polina Kirichenko
Pavel Izmailov
A. Wilson
OOD
86
338
0
06 Apr 2022
A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models
  with Adversarial Learning
A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning
Hugo Elias Berg
S. Hall
Yash Bhalgat
Wonsuk Yang
Hannah Rose Kirk
Aleksandar Shtedritski
Max Bain
VLM
83
101
0
22 Mar 2022
Fine-Tuning can Distort Pretrained Features and Underperform
  Out-of-Distribution
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution
Ananya Kumar
Aditi Raghunathan
Robbie Jones
Tengyu Ma
Percy Liang
OODD
124
681
0
21 Feb 2022
Simple data balancing achieves competitive worst-group-accuracy
Simple data balancing achieves competitive worst-group-accuracy
Badr Youbi Idrissi
Martín Arjovsky
Mohammad Pezeshki
David Lopez-Paz
115
182
0
27 Oct 2021
CLIP-Adapter: Better Vision-Language Models with Feature Adapters
CLIP-Adapter: Better Vision-Language Models with Feature Adapters
Peng Gao
Shijie Geng
Renrui Zhang
Teli Ma
Rongyao Fang
Yongfeng Zhang
Hongsheng Li
Yu Qiao
VLMCLIP
299
1,045
0
09 Oct 2021
Robust fine-tuning of zero-shot models
Robust fine-tuning of zero-shot models
Mitchell Wortsman
Gabriel Ilharco
Jong Wook Kim
Mike Li
Simon Kornblith
...
Raphael Gontijo-Lopes
Hannaneh Hajishirzi
Ali Farhadi
Hongseok Namkoong
Ludwig Schmidt
VLM
137
734
0
04 Sep 2021
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VPVLMCLIPVLM
497
2,405
0
02 Sep 2021
Evaluating CLIP: Towards Characterization of Broader Capabilities and
  Downstream Implications
Evaluating CLIP: Towards Characterization of Broader Capabilities and Downstream Implications
Sandhini Agarwal
Gretchen Krueger
Jack Clark
Alec Radford
Jong Wook Kim
Miles Brundage
63
143
0
05 Aug 2021
Just Train Twice: Improving Group Robustness without Training Group
  Information
Just Train Twice: Improving Group Robustness without Training Group Information
Emmy Liu
Behzad Haghgoo
Annie S. Chen
Aditi Raghunathan
Pang Wei Koh
Shiori Sagawa
Percy Liang
Chelsea Finn
OOD
94
562
0
19 Jul 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIPVLM
967
29,731
0
26 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
VLMCLIP
445
3,887
0
11 Feb 2021
Environment Inference for Invariant Learning
Environment Inference for Invariant Learning
Elliot Creager
J. Jacobsen
R. Zemel
OOD
61
383
0
14 Oct 2020
Distributionally Robust Neural Networks for Group Shifts: On the
  Importance of Regularization for Worst-Case Generalization
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization
Shiori Sagawa
Pang Wei Koh
Tatsunori B. Hashimoto
Percy Liang
OOD
108
1,243
0
20 Nov 2019
What is the Effect of Importance Weighting in Deep Learning?
What is the Effect of Importance Weighting in Deep Learning?
Jonathon Byrd
Zachary Chase Lipton
96
465
0
08 Dec 2018
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
321
20,070
0
07 Oct 2016
Deep Learning Face Attributes in the Wild
Deep Learning Face Attributes in the Wild
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
244
8,424
0
28 Nov 2014
Deep Convolutional Ranking for Multilabel Image Annotation
Deep Convolutional Ranking for Multilabel Image Annotation
Yunchao Gong
Yangqing Jia
Thomas Leung
Alexander Toshev
Sergey Ioffe
VLM
127
433
0
17 Dec 2013
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