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A Simple Zero-shot Prompt Weighting Technique to Improve Prompt
  Ensembling in Text-Image Models

A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models

13 February 2023
J. Allingham
Jie Jessie Ren
Michael W. Dusenberry
Xiuye Gu
Yin Cui
Dustin Tran
J. Liu
Balaji Lakshminarayanan
    LLMAG
    VLM
ArXivPDFHTML

Papers citing "A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models"

29 / 29 papers shown
Title
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia
Valerie Zermatten
J. Castillo-Navarro
Pallavi Jain
D. Tuia
Diego Marcos
57
0
0
28 Apr 2025
SecPE: Secure Prompt Ensembling for Private and Robust Large Language Models
SecPE: Secure Prompt Ensembling for Private and Robust Large Language Models
Jiawen Zhang
Kejia Chen
Zunlei Feng
Jian Lou
Mingli Song
J. Liu
X. J. Yang
AAML
SILM
FedML
43
1
0
02 Feb 2025
SenCLIP: Enhancing zero-shot land-use mapping for Sentinel-2 with
  ground-level prompting
SenCLIP: Enhancing zero-shot land-use mapping for Sentinel-2 with ground-level prompting
Pallavi Jain
Dino Ienco
R. Interdonato
Tristan Berchoux
Diego Marcos
VLM
76
3
0
11 Dec 2024
Retaining and Enhancing Pre-trained Knowledge in Vision-Language Models
  with Prompt Ensembling
Retaining and Enhancing Pre-trained Knowledge in Vision-Language Models with Prompt Ensembling
Donggeun Kim
Yujin Jo
Myungjoo Lee
Taesup Kim
VLM
73
0
0
10 Dec 2024
Robotic State Recognition with Image-to-Text Retrieval Task of
  Pre-Trained Vision-Language Model and Black-Box Optimization
Robotic State Recognition with Image-to-Text Retrieval Task of Pre-Trained Vision-Language Model and Black-Box Optimization
Kento Kawaharazuka
Yoshiki Obinata
Naoaki Kanazawa
Kei Okada
Masayuki Inaba
26
0
0
30 Oct 2024
Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution
  Learning and Bias Correcting
Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution Learning and Bias Correcting
Xingyu Zhu
B. Zhu
Yi Tan
Shuo Wang
Y. Hao
Hanwang Zhang
VLM
VPVLM
29
1
0
25 Oct 2024
Review of Zero-Shot and Few-Shot AI Algorithms in The Medical Domain
Review of Zero-Shot and Few-Shot AI Algorithms in The Medical Domain
Maged Badawi
Mohammedyahia Abushanab
Sheethal Bhat
Andreas K. Maier
VLM
37
2
0
23 Jun 2024
An Information Compensation Framework for Zero-Shot Skeleton-based
  Action Recognition
An Information Compensation Framework for Zero-Shot Skeleton-based Action Recognition
Haojun Xu
Yanlei Gao
Jie Li
Xinbo Gao
35
2
0
02 Jun 2024
What Do You See? Enhancing Zero-Shot Image Classification with Multimodal Large Language Models
What Do You See? Enhancing Zero-Shot Image Classification with Multimodal Large Language Models
Abdelrahman Abdelhamed
Mahmoud Afifi
Alec Go
MLLM
VLM
29
3
0
24 May 2024
Improving Recall of Large Language Models: A Model Collaboration
  Approach for Relational Triple Extraction
Improving Recall of Large Language Models: A Model Collaboration Approach for Relational Triple Extraction
Zepeng Ding
Wenhao Huang
Jiaqing Liang
Deqing Yang
Yanghua Xiao
KELM
29
4
0
15 Apr 2024
Prompt Learning via Meta-Regularization
Prompt Learning via Meta-Regularization
Jinyoung Park
Juyeon Ko
Hyunwoo J. Kim
VLM
VPVLM
35
14
0
01 Apr 2024
OTSeg: Multi-prompt Sinkhorn Attention for Zero-Shot Semantic
  Segmentation
OTSeg: Multi-prompt Sinkhorn Attention for Zero-Shot Semantic Segmentation
Kwanyoung Kim
Y. Oh
Jong Chul Ye
VLM
41
7
0
21 Mar 2024
C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via
  Text Feature Dispersion
C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion
Hee Suk Yoon
Eunseop Yoon
Joshua Tian Jin Tee
M. Hasegawa-Johnson
Yingzhen Li
C. Yoo
VLM
53
23
0
21 Mar 2024
On Sensitivity of Learning with Limited Labelled Data to the Effects of
  Randomness: Impact of Interactions and Systematic Choices
On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices
Branislav Pecher
Ivan Srba
M. Bieliková
51
3
0
20 Feb 2024
Tailoring Education with GenAI: A New Horizon in Lesson Planning
Tailoring Education with GenAI: A New Horizon in Lesson Planning
K. Karpouzis
Dimitris Pantazatos
Joanna Taouki
Kalliopi Meli
16
8
0
12 Feb 2024
A Simple Recipe for Language-guided Domain Generalized Segmentation
A Simple Recipe for Language-guided Domain Generalized Segmentation
Mohammad Fahes
Tuan-Hung Vu
Andrei Bursuc
Patrick Pérez
Raoul de Charette
VLM
16
14
0
29 Nov 2023
Descriptor and Word Soups: Overcoming the Parameter Efficiency Accuracy
  Tradeoff for Out-of-Distribution Few-shot Learning
Descriptor and Word Soups: Overcoming the Parameter Efficiency Accuracy Tradeoff for Out-of-Distribution Few-shot Learning
Christopher Liao
Theodoros Tsiligkaridis
Brian Kulis
OODD
31
5
0
21 Nov 2023
Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing
  Label Bias in Foundation Models
Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models
Beier Zhu
Kaihua Tang
Qianru Sun
Hanwang Zhang
14
21
0
12 Oct 2023
Investigating the Limitation of CLIP Models: The Worst-Performing
  Categories
Investigating the Limitation of CLIP Models: The Worst-Performing Categories
Jiejing Shao
Jiang-Xin Shi
Xiao-Wen Yang
Lan-Zhe Guo
Yu-Feng Li
VLM
21
10
0
05 Oct 2023
AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language Models
AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language Models
Sanghwan Kim
Hao Tang
Fisher Yu
VLM
CLIP
8
4
0
28 Sep 2023
Improving CLIP Robustness with Knowledge Distillation and Self-Training
Improving CLIP Robustness with Knowledge Distillation and Self-Training
Clement Laroudie
Andrei Bursuc
Mai Lan Ha
Gianni Franchi
VLM
22
5
0
19 Sep 2023
Large Language Models in Cryptocurrency Securities Cases: Can a GPT
  Model Meaningfully Assist Lawyers?
Large Language Models in Cryptocurrency Securities Cases: Can a GPT Model Meaningfully Assist Lawyers?
Arianna Trozze
Toby P Davies
Bennett Kleinberg
AILaw
ELM
25
11
0
11 Aug 2023
SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion
  Segmentation
SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion Segmentation
Fan Bai
K. Yan
Xiaoyu Bai
Xinyu Mao
Xiaoli Yin
Jingren Zhou
Yu Shi
Le Lu
Max Q.-H. Meng
VLM
13
2
0
09 Aug 2023
Out-of-Distribution Detection and Selective Generation for Conditional
  Language Models
Out-of-Distribution Detection and Selective Generation for Conditional Language Models
Jie Jessie Ren
Jiaming Luo
Yao-Min Zhao
Kundan Krishna
Mohammad Saleh
Balaji Lakshminarayanan
Peter J. Liu
OODD
64
94
0
30 Sep 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
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
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
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
241
1,913
0
31 Dec 2020
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
282
39,170
0
01 Sep 2014
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