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On the Power of Foundation Models

On the Power of Foundation Models

29 November 2022
Yang Yuan
ArXivPDFHTML

Papers citing "On the Power of Foundation Models"

8 / 8 papers shown
Title
On the Diagram of Thought
On the Diagram of Thought
Yifan Zhang
Yang Yuan
Andrew Chi-Chih Yao
3DV
LRM
AI4CE
35
10
0
16 Sep 2024
User Experience Design Professionals' Perceptions of Generative
  Artificial Intelligence
User Experience Design Professionals' Perceptions of Generative Artificial Intelligence
Jie Li
Hancheng Cao
Laura Lin
Youyang Hou
Ruihao Zhu
Abdallah El Ali
39
50
0
26 Sep 2023
Patchwork Learning: A Paradigm Towards Integrative Analysis across
  Diverse Biomedical Data Sources
Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources
Suraj Rajendran
Weishen Pan
M. Sabuncu
Yong Chen
Jiayu Zhou
Fei Wang
57
14
0
10 May 2023
Rectified Flow: A Marginal Preserving Approach to Optimal Transport
Rectified Flow: A Marginal Preserving Approach to Optimal Transport
Qiang Liu
OT
130
87
0
29 Sep 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
322
7,457
0
11 Nov 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
255
4,796
0
24 Feb 2021
Contrastive Learning Inverts the Data Generating Process
Contrastive Learning Inverts the Data Generating Process
Roland S. Zimmermann
Yash Sharma
Steffen Schneider
Matthias Bethge
Wieland Brendel
SSL
238
209
0
17 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
243
1,927
0
31 Dec 2020
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