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Low-Rank Similarity Mining for Multimodal Dataset Distillation

Low-Rank Similarity Mining for Multimodal Dataset Distillation

6 June 2024
Yue Xu
Zhilin Lin
Yusong Qiu
Cewu Lu
Yong-Lu Li
    DD
ArXivPDFHTML

Papers citing "Low-Rank Similarity Mining for Multimodal Dataset Distillation"

15 / 15 papers shown
Title
Leveraging Multi-Modal Information to Enhance Dataset Distillation
Leveraging Multi-Modal Information to Enhance Dataset Distillation
Zhe Li
Hadrien Reynaud
Bernhard Kainz
DD
68
0
0
13 May 2025
Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios
Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios
Kai Wang
Zekai Li
Zhi-Qi Cheng
Samir Khaki
A. Sajedi
Ramakrishna Vedantam
Konstantinos N. Plataniotis
Alexander G. Hauptmann
Yang You
DD
103
5
0
22 Oct 2024
Frequency Domain-based Dataset Distillation
Frequency Domain-based Dataset Distillation
DongHyeok Shin
Seungjae Shin
Il-Chul Moon
DD
60
19
0
15 Nov 2023
Distill Gold from Massive Ores: Efficient Dataset Distillation via
  Critical Samples Selection
Distill Gold from Massive Ores: Efficient Dataset Distillation via Critical Samples Selection
Yue Xu
Yong-Lu Li
Kaitong Cui
Ziyu Wang
Cewu Lu
Yu-Wing Tai
Chi-Keung Tang
DD
57
8
0
28 May 2023
CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets
CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets
Zachary Novack
Julian McAuley
Zachary Chase Lipton
Saurabh Garg
VLM
77
82
0
06 Feb 2023
Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory
Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory
Justin Cui
Ruochen Wang
Si Si
Cho-Jui Hsieh
DD
69
136
0
19 Nov 2022
Dataset Condensation via Efficient Synthetic-Data Parameterization
Dataset Condensation via Efficient Synthetic-Data Parameterization
Jang-Hyun Kim
Jinuk Kim
Seong Joon Oh
Sangdoo Yun
Hwanjun Song
Joonhyun Jeong
Jung-Woo Ha
Hyun Oh Song
DD
461
167
0
30 May 2022
Dataset Distillation by Matching Training Trajectories
Dataset Distillation by Matching Training Trajectories
George Cazenavette
Tongzhou Wang
Antonio Torralba
Alexei A. Efros
Jun-Yan Zhu
FedML
DD
156
381
0
22 Mar 2022
FLAVA: A Foundational Language And Vision Alignment Model
FLAVA: A Foundational Language And Vision Alignment Model
Amanpreet Singh
Ronghang Hu
Vedanuj Goswami
Guillaume Couairon
Wojciech Galuba
Marcus Rohrbach
Douwe Kiela
CLIP
VLM
70
703
0
08 Dec 2021
FILIP: Fine-grained Interactive Language-Image Pre-Training
FILIP: Fine-grained Interactive Language-Image Pre-Training
Lewei Yao
Runhu Huang
Lu Hou
Guansong Lu
Minzhe Niu
Hang Xu
Xiaodan Liang
Zhenguo Li
Xin Jiang
Chunjing Xu
VLM
CLIP
75
627
0
09 Nov 2021
High-Performance Large-Scale Image Recognition Without Normalization
High-Performance Large-Scale Image Recognition Without Normalization
Andrew Brock
Soham De
Samuel L. Smith
Karen Simonyan
VLM
252
514
0
11 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
392
3,778
0
11 Feb 2021
An Empirical Study of Example Forgetting during Deep Neural Network
  Learning
An Empirical Study of Example Forgetting during Deep Neural Network Learning
Mariya Toneva
Alessandro Sordoni
Rémi Tachet des Combes
Adam Trischler
Yoshua Bengio
Geoffrey J. Gordon
100
723
0
12 Dec 2018
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for
  Richer Image-to-Sentence Models
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models
Bryan A. Plummer
Liwei Wang
Christopher M. Cervantes
Juan C. Caicedo
Julia Hockenmaier
Svetlana Lazebnik
177
2,033
0
19 May 2015
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
327
15,825
0
12 Nov 2013
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