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Enhancing CLIP with CLIP: Exploring Pseudolabeling for Limited-Label
  Prompt Tuning

Enhancing CLIP with CLIP: Exploring Pseudolabeling for Limited-Label Prompt Tuning

2 June 2023
Cristina Menghini
Andrew T. Delworth
Stephen H. Bach
    VLM
ArXivPDFHTML

Papers citing "Enhancing CLIP with CLIP: Exploring Pseudolabeling for Limited-Label Prompt Tuning"

25 / 25 papers shown
Title
Simple Semi-supervised Knowledge Distillation from Vision-Language Models via $\mathbf{\texttt{D}}$ual-$\mathbf{\texttt{H}}$ead $\mathbf{\texttt{O}}$ptimization
Simple Semi-supervised Knowledge Distillation from Vision-Language Models via D\mathbf{\texttt{D}}Dual-H\mathbf{\texttt{H}}Head O\mathbf{\texttt{O}}Optimization
Seongjae Kang
Dong Bok Lee
Hyungjoon Jang
Sung Ju Hwang
VLM
38
0
0
12 May 2025
Handling Imbalanced Pseudolabels for Vision-Language Models with Concept Alignment and Confusion-Aware Calibrated Margin
Handling Imbalanced Pseudolabels for Vision-Language Models with Concept Alignment and Confusion-Aware Calibrated Margin
Yuchen Wang
X. Bai
X. Li
Weili Guan
Liqiang Nie
Xinyang Chen
VLM
42
0
0
04 May 2025
Logits DeConfusion with CLIP for Few-Shot Learning
Logits DeConfusion with CLIP for Few-Shot Learning
Shuo Li
F. Liu
Zehua Hao
X. Wang
Lingling Li
X. Liu
Puhua Chen
Wenping Ma
VLM
47
0
0
16 Apr 2025
Beyond Words: Augmenting Discriminative Richness via Diffusions in Unsupervised Prompt Learning
Beyond Words: Augmenting Discriminative Richness via Diffusions in Unsupervised Prompt Learning
Hairui Ren
Fan Tang
He Zhao
Zixuan Wang
Dandan Guo
Yi Chang
VLM
36
0
0
16 Apr 2025
FATE: A Prompt-Tuning-Based Semi-Supervised Learning Framework for Extremely Limited Labeled Data
FATE: A Prompt-Tuning-Based Semi-Supervised Learning Framework for Extremely Limited Labeled Data
Hezhao Liu
Yang Lu
Mengke Li
Yiqun Zhang
Shreyank N Gowda
Chen Gong
Hanzi Wang
29
0
0
14 Apr 2025
Tuning Vision-Language Models with Candidate Labels by Prompt Alignment
Tuning Vision-Language Models with Candidate Labels by Prompt Alignment
Zhifang Zhang
Yuwei Niu
Xin Liu
Beibei Li
VPVLM
VLM
54
0
0
31 Dec 2024
Cascade Prompt Learning for Vision-Language Model Adaptation
Cascade Prompt Learning for Vision-Language Model Adaptation
Ge Wu
Xin Zhang
Zheng Li
Zhaowei Chen
Jiajun Liang
Jian Yang
Xiang Li
VLM
22
7
0
26 Sep 2024
LEMoN: Label Error Detection using Multimodal Neighbors
LEMoN: Label Error Detection using Multimodal Neighbors
Haoran Zhang
Aparna Balagopalan
Nassim Oufattole
Hyewon Jeong
Yan Wu
Jiacheng Zhu
Marzyeh Ghassemi
42
0
0
10 Jul 2024
Candidate Pseudolabel Learning: Enhancing Vision-Language Models by
  Prompt Tuning with Unlabeled Data
Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data
Jiahan Zhang
Qi Wei
Feng Liu
Lei Feng
VLM
21
7
0
15 Jun 2024
Learning from True-False Labels via Multi-modal Prompt Retrieving
Learning from True-False Labels via Multi-modal Prompt Retrieving
Zhongnian Li
Jinghao Xu
Peng Ying
Meng Wei
Tongfeng Sun
Xinzheng Xu
25
0
0
24 May 2024
Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised
  Learning
Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning
Kai Gan
Tong Wei
36
10
0
20 May 2024
Embracing Diversity: Interpretable Zero-shot classification beyond one
  vector per class
Embracing Diversity: Interpretable Zero-shot classification beyond one vector per class
Mazda Moayeri
Michael G. Rabbat
Mark Ibrahim
Diane Bouchacourt
VLM
41
1
0
25 Apr 2024
PromptKD: Unsupervised Prompt Distillation for Vision-Language Models
PromptKD: Unsupervised Prompt Distillation for Vision-Language Models
Zheng Li
Xiang Li
Xinyi Fu
Xing Zhang
Weiqiang Wang
Shuo Chen
Jian Yang
VLM
27
34
0
05 Mar 2024
Learning to Generate Instruction Tuning Datasets for Zero-Shot Task
  Adaptation
Learning to Generate Instruction Tuning Datasets for Zero-Shot Task Adaptation
Nihal V. Nayak
Yiyang Nan
Avi Trost
Stephen H. Bach
SyDa
30
13
0
28 Feb 2024
Follow-Up Differential Descriptions: Language Models Resolve Ambiguities
  for Image Classification
Follow-Up Differential Descriptions: Language Models Resolve Ambiguities for Image Classification
Reza Esfandiarpoor
Stephen H. Bach
VLM
19
13
0
10 Nov 2023
PerceptionCLIP: Visual Classification by Inferring and Conditioning on
  Contexts
PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts
Bang An
Sicheng Zhu
Michael-Andrei Panaitescu-Liess
Chaithanya Kumar Mummadi
Furong Huang
VLM
20
7
0
02 Aug 2023
MaPLe: Multi-modal Prompt Learning
MaPLe: Multi-modal Prompt Learning
Muhammad Uzair Khattak
H. Rasheed
Muhammad Maaz
Salman Khan
F. Khan
VPVLM
VLM
186
528
0
06 Oct 2022
Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language
  Models
Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models
Manli Shu
Weili Nie
De-An Huang
Zhiding Yu
Tom Goldstein
Anima Anandkumar
Chaowei Xiao
VLM
VPVLM
175
279
0
15 Sep 2022
PromptSource: An Integrated Development Environment and Repository for
  Natural Language Prompts
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts
Stephen H. Bach
Victor Sanh
Zheng-Xin Yong
Albert Webson
Colin Raffel
...
Khalid Almubarak
Xiangru Tang
Dragomir R. Radev
Mike Tian-Jian Jiang
Alexander M. Rush
VLM
225
338
0
02 Feb 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh
Albert Webson
Colin Raffel
Stephen H. Bach
Lintang Sutawika
...
T. Bers
Stella Biderman
Leo Gao
Thomas Wolf
Alexander M. Rush
LRM
205
1,654
0
15 Oct 2021
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo
  Labeling
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
Bowen Zhang
Yidong Wang
Wenxin Hou
Hao Wu
Jindong Wang
Manabu Okumura
T. Shinozaki
AAML
215
861
0
15 Oct 2021
The Rich Get Richer: Disparate Impact of Semi-Supervised Learning
The Rich Get Richer: Disparate Impact of Semi-Supervised Learning
Zhaowei Zhu
Tianyi Luo
Yang Liu
148
39
0
12 Oct 2021
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VPVLM
CLIP
VLM
322
2,249
0
02 Sep 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,835
0
18 Apr 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
3,683
0
11 Feb 2021
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