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What does a platypus look like? Generating customized prompts for
  zero-shot image classification

What does a platypus look like? Generating customized prompts for zero-shot image classification

7 September 2022
Sarah M Pratt
Ian Covert
Rosanne Liu
Ali Farhadi
    VLM
ArXivPDFHTML

Papers citing "What does a platypus look like? Generating customized prompts for zero-shot image classification"

12 / 12 papers shown
Title
FedMVP: Federated Multi-modal Visual Prompt Tuning for Vision-Language Models
FedMVP: Federated Multi-modal Visual Prompt Tuning for Vision-Language Models
Mainak Singha
Subhankar Roy
Sarthak Mehrotra
Ankit Jha
Moloud Abdar
Biplab Banerjee
Elisa Ricci
VLM
VPVLM
64
0
0
29 Apr 2025
Multimodal Knowledge Alignment with Reinforcement Learning
Multimodal Knowledge Alignment with Reinforcement Learning
Youngjae Yu
Jiwan Chung
Heeseung Yun
Jack Hessel
J. Park
...
Prithviraj Ammanabrolu
Rowan Zellers
Ronan Le Bras
Gunhee Kim
Yejin Choi
VLM
80
28
0
25 May 2022
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
264
2,712
0
24 May 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
199
274
0
02 Feb 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
268
5,177
0
28 Jan 2022
An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA
An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA
Zhengyuan Yang
Zhe Gan
Jianfeng Wang
Xiaowei Hu
Yumao Lu
Zicheng Liu
Lijuan Wang
140
322
0
10 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
VPVLM
CLIP
VLM
298
2,108
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
252
2,999
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
265
2,875
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
223
1,649
0
31 Dec 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
228
1,382
0
21 Jan 2020
Learning Deep Representations of Fine-grained Visual Descriptions
Learning Deep Representations of Fine-grained Visual Descriptions
Scott E. Reed
Zeynep Akata
Bernt Schiele
Honglak Lee
OCL
VLM
140
804
0
17 May 2016
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