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Data curation via joint example selection further accelerates multimodal
  learning

Data curation via joint example selection further accelerates multimodal learning

25 June 2024
Talfan Evans
Nikhil Parthasarathy
Hamza Merzic
Olivier J. Hénaff
ArXivPDFHTML

Papers citing "Data curation via joint example selection further accelerates multimodal learning"

29 / 29 papers shown
Title
ELIP: Enhanced Visual-Language Foundation Models for Image Retrieval
ELIP: Enhanced Visual-Language Foundation Models for Image Retrieval
Guanqi Zhan
Yuanpei Liu
Kai Han
Weidi Xie
Andrew Zisserman
VLM
428
0
0
21 Feb 2025
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
MLLM
VLM
122
0
0
07 Jan 2025
Demystifying CLIP Data
Demystifying CLIP Data
Hu Xu
Saining Xie
Xiaoqing Ellen Tan
Po-Yao (Bernie) Huang
Russell Howes
Vasu Sharma
Shang-Wen Li
Gargi Ghosh
Luke Zettlemoyer
Christoph Feichtenhofer
VLM
CLIP
87
121
0
31 Dec 2024
Rho-1: Not All Tokens Are What You Need
Rho-1: Not All Tokens Are What You Need
Zheng-Wen Lin
Zhibin Gou
Yeyun Gong
Xiao Liu
Yelong Shen
...
Chen Lin
Yujiu Yang
Jian Jiao
Nan Duan
Weizhu Chen
CLL
80
68
0
11 Apr 2024
Scaling Laws for Data Filtering -- Data Curation cannot be Compute
  Agnostic
Scaling Laws for Data Filtering -- Data Curation cannot be Compute Agnostic
Sachin Goyal
Pratyush Maini
Zachary Chase Lipton
Aditi Raghunathan
J. Zico Kolter
82
44
0
10 Apr 2024
How to Train Data-Efficient LLMs
How to Train Data-Efficient LLMs
Noveen Sachdeva
Benjamin Coleman
Wang-Cheng Kang
Jianmo Ni
Lichan Hong
Ed H. Chi
James Caverlee
Julian McAuley
D. Cheng
64
62
0
15 Feb 2024
Effective pruning of web-scale datasets based on complexity of concept
  clusters
Effective pruning of web-scale datasets based on complexity of concept clusters
Amro Abbas
E. Rusak
Kushal Tirumala
Wieland Brendel
Kamalika Chaudhuri
Ari S. Morcos
VLM
CLIP
49
23
0
09 Jan 2024
EVA-CLIP: Improved Training Techniques for CLIP at Scale
EVA-CLIP: Improved Training Techniques for CLIP at Scale
Quan-Sen Sun
Yuxin Fang
Ledell Yu Wu
Xinlong Wang
Yue Cao
CLIP
VLM
129
493
0
27 Mar 2023
Sigmoid Loss for Language Image Pre-Training
Sigmoid Loss for Language Image Pre-Training
Xiaohua Zhai
Basil Mustafa
Alexander Kolesnikov
Lucas Beyer
CLIP
VLM
131
1,131
0
27 Mar 2023
LAION-5B: An open large-scale dataset for training next generation
  image-text models
LAION-5B: An open large-scale dataset for training next generation image-text models
Christoph Schuhmann
Romain Beaumont
Richard Vencu
Cade Gordon
Ross Wightman
...
Srivatsa Kundurthy
Katherine Crowson
Ludwig Schmidt
R. Kaczmarczyk
J. Jitsev
VLM
MLLM
CLIP
139
3,438
0
16 Oct 2022
Make-A-Video: Text-to-Video Generation without Text-Video Data
Make-A-Video: Text-to-Video Generation without Text-Video Data
Uriel Singer
Adam Polyak
Thomas Hayes
Xiaoyue Yin
Jie An
...
Oron Ashual
Oran Gafni
Devi Parikh
Sonal Gupta
Yaniv Taigman
DiffM
VGen
74
1,406
0
29 Sep 2022
PaLI: A Jointly-Scaled Multilingual Language-Image Model
PaLI: A Jointly-Scaled Multilingual Language-Image Model
Xi Chen
Tianlin Li
Soravit Changpinyo
A. Piergiovanni
Piotr Padlewski
...
Andreas Steiner
A. Angelova
Xiaohua Zhai
N. Houlsby
Radu Soricut
MLLM
VLM
79
716
0
14 Sep 2022
Beyond neural scaling laws: beating power law scaling via data pruning
Beyond neural scaling laws: beating power law scaling via data pruning
Ben Sorscher
Robert Geirhos
Shashank Shekhar
Surya Ganguli
Ari S. Morcos
85
439
0
29 Jun 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified
  Vision-Language Understanding and Generation
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Junnan Li
Dongxu Li
Caiming Xiong
Guosheng Lin
MLLM
BDL
VLM
CLIP
501
4,340
0
28 Jan 2022
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
105
457
0
15 Jul 2021
Divide and Contrast: Self-supervised Learning from Uncurated Data
Divide and Contrast: Self-supervised Learning from Uncurated Data
Yonglong Tian
Olivier J. Hénaff
Aaron van den Oord
SSL
110
100
0
17 May 2021
CLIPScore: A Reference-free Evaluation Metric for Image Captioning
CLIPScore: A Reference-free Evaluation Metric for Image Captioning
Jack Hessel
Ari Holtzman
Maxwell Forbes
Ronan Le Bras
Yejin Choi
CLIP
117
1,545
0
18 Apr 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
426
1,125
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
VLM
CLIP
422
3,839
0
11 Feb 2021
Accelerating Training of Transformer-Based Language Models with
  Progressive Layer Dropping
Accelerating Training of Transformer-Based Language Models with Progressive Layer Dropping
Minjia Zhang
Yuxiong He
AI4CE
41
103
0
26 Oct 2020
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
385
20,114
0
23 Oct 2019
SentencePiece: A simple and language independent subword tokenizer and
  detokenizer for Neural Text Processing
SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing
Taku Kudo
John Richardson
180
3,514
0
19 Aug 2018
Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent
Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent
Trevor Campbell
Tamara Broderick
59
137
0
05 Feb 2018
Sampling Matters in Deep Embedding Learning
Sampling Matters in Deep Embedding Learning
Chaoxia Wu
R. Manmatha
Alex Smola
Philipp Krahenbuhl
92
923
0
23 Jun 2017
Working hard to know your neighbor's margins: Local descriptor learning
  loss
Working hard to know your neighbor's margins: Local descriptor learning loss
A. Mishchuk
Dmytro Mishkin
Filip Radenovic
Jirí Matas
74
690
0
30 May 2017
Smart Mining for Deep Metric Learning
Smart Mining for Deep Metric Learning
Ben Harwood
B. V. Kumar
G. Carneiro
Ian Reid
Tom Drummond
55
350
0
05 Apr 2017
Hard Negative Mining for Metric Learning Based Zero-Shot Classification
Hard Negative Mining for Metric Learning Based Zero-Shot Classification
Max Bucher
Stéphane Herbin
F. Jurie
27
58
0
26 Aug 2016
Online Batch Selection for Faster Training of Neural Networks
Online Batch Selection for Faster Training of Neural Networks
I. Loshchilov
Frank Hutter
ODL
85
301
0
19 Nov 2015
Prioritized Experience Replay
Prioritized Experience Replay
Tom Schaul
John Quan
Ioannis Antonoglou
David Silver
OffRL
212
3,787
0
18 Nov 2015
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