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Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data
  Quality over Quantity
v1v2 (latest)

Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantity

18 March 2024
Siddharth Joshi
Arnav Jain
Ali Payani
Baharan Mirzasoleiman
    VLMCLIP
ArXiv (abs)PDFHTMLGithub (8★)

Papers citing "Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantity"

18 / 18 papers shown
Title
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation
S. Joshi
Besmira Nushi
Vidhisha Balachandran
Varun Chandrasekaran
Vibhav Vineet
Neel Joshi
Baharan Mirzasoleiman
MLLMVLM
160
0
0
07 Jan 2025
Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-Training of Deep Networks
Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-Training of Deep Networks
S. Joshi
Jiayi Ni
Baharan Mirzasoleiman
DD
169
2
0
03 Oct 2024
On the Generalization of Multi-modal Contrastive Learning
On the Generalization of Multi-modal Contrastive Learning
Qi Zhang
Yifei Wang
Yisen Wang
68
26
0
07 Jun 2023
Towards Sustainable Learning: Coresets for Data-efficient Deep Learning
Towards Sustainable Learning: Coresets for Data-efficient Deep Learning
Yu Yang
Hao Kang
Baharan Mirzasoleiman
81
35
0
02 Jun 2023
Understanding Multimodal Contrastive Learning and Incorporating Unpaired
  Data
Understanding Multimodal Contrastive Learning and Incorporating Unpaired Data
Ryumei Nakada
Halil Ibrahim Gulluk
Zhun Deng
Wenlong Ji
James Zou
Linjun Zhang
SSLVLM
89
41
0
13 Feb 2023
Adaptive Second Order Coresets for Data-efficient Machine Learning
Adaptive Second Order Coresets for Data-efficient Machine Learning
Omead Brandon Pooladzandi
David Davini
Baharan Mirzasoleiman
94
64
0
28 Jul 2022
SLIP: Self-supervision meets Language-Image Pre-training
SLIP: Self-supervision meets Language-Image Pre-training
Norman Mu
Alexander Kirillov
David Wagner
Saining Xie
VLMCLIP
143
490
0
23 Dec 2021
Supervision Exists Everywhere: A Data Efficient Contrastive
  Language-Image Pre-training Paradigm
Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm
Yangguang Li
Feng Liang
Lichen Zhao
Yufeng Cui
Wanli Ouyang
Jing Shao
F. Yu
Junjie Yan
VLMCLIP
150
458
0
11 Oct 2021
The Power of Contrast for Feature Learning: A Theoretical Analysis
The Power of Contrast for Feature Learning: A Theoretical Analysis
Wenlong Ji
Zhun Deng
Ryumei Nakada
James Zou
Linjun Zhang
SSL
98
53
0
06 Oct 2021
Deep Learning on a Data Diet: Finding Important Examples Early in
  Training
Deep Learning on a Data Diet: Finding Important Examples Early in Training
Mansheej Paul
Surya Ganguli
Gintare Karolina Dziugaite
117
461
0
15 Jul 2021
Provable Guarantees for Self-Supervised Deep Learning with Spectral
  Contrastive Loss
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss
Jeff Z. HaoChen
Colin Wei
Adrien Gaidon
Tengyu Ma
SSL
77
321
0
08 Jun 2021
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize
  Long-Tail Visual Concepts
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts
Soravit Changpinyo
P. Sharma
Nan Ding
Radu Soricut
VLM
447
1,127
0
17 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
459
3,893
0
11 Feb 2021
On Robustness and Transferability of Convolutional Neural Networks
On Robustness and Transferability of Convolutional Neural Networks
Josip Djolonga
Jessica Yung
Michael Tschannen
Rob Romijnders
Lucas Beyer
...
D. Moldovan
Sylvain Gelly
N. Houlsby
Xiaohua Zhai
Mario Lucic
OOD
84
156
0
16 Jul 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution
  Generalization
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization
Dan Hendrycks
Steven Basart
Norman Mu
Saurav Kadavath
Frank Wang
...
Samyak Parajuli
Mike Guo
Basel Alomair
Jacob Steinhardt
Justin Gilmer
OOD
350
1,754
0
29 Jun 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
378
18,866
0
13 Feb 2020
Learning Robust Global Representations by Penalizing Local Predictive
  Power
Learning Robust Global Representations by Penalizing Local Predictive Power
Haohan Wang
Songwei Ge
Eric Xing
Zachary Chase Lipton
OOD
122
966
0
29 May 2019
Do ImageNet Classifiers Generalize to ImageNet?
Do ImageNet Classifiers Generalize to ImageNet?
Benjamin Recht
Rebecca Roelofs
Ludwig Schmidt
Vaishaal Shankar
OODSSegVLM
121
1,726
0
13 Feb 2019
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