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Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory
  Matching
v1v2 (latest)

Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching

9 October 2023
Ziyao Guo
Kai Wang
George Cazenavette
Hui Li
Kaipeng Zhang
Yang You
    DD
ArXiv (abs)PDFHTML

Papers citing "Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching"

50 / 55 papers shown
Title
Approximating Language Model Training Data from Weights
Approximating Language Model Training Data from Weights
John X. Morris
Junjie Oscar Yin
Woojeong Kim
Vitaly Shmatikov
Alexander M. Rush
33
0
0
18 Jun 2025
Shapley Machine: A Game-Theoretic Framework for N-Agent Ad Hoc Teamwork
Shapley Machine: A Game-Theoretic Framework for N-Agent Ad Hoc Teamwork
Jianhong Wang
Yang Li
Samuel Kaski
Jonathan Lawry
22
0
0
12 Jun 2025
Reasoning Like an Economist: Post-Training on Economic Problems Induces Strategic Generalization in LLMs
Reasoning Like an Economist: Post-Training on Economic Problems Induces Strategic Generalization in LLMs
Yufa Zhou
S. Wang
Xingyu Dong
Xiangqi Jin
Yifang Chen
Yue Min
Kexin Yang
Xingzhang Ren
Dayiheng Liu
Linfeng Zhang
OffRLLRM
30
0
0
31 May 2025
PRISM: Video Dataset Condensation with Progressive Refinement and Insertion for Sparse Motion
PRISM: Video Dataset Condensation with Progressive Refinement and Insertion for Sparse Motion
Jaehyun Choi
Jiwan Hur
Gyojin Han
Jaemyung Yu
Junmo Kim
VGen
29
0
0
28 May 2025
DAM: Domain-Aware Module for Multi-Domain Dataset Condensation
DAM: Domain-Aware Module for Multi-Domain Dataset Condensation
Jaehyun Choi
Gyojin Han
Dong-Jae Lee
Sunghyun Baek
Junmo Kim
DDAI4CE
42
0
0
28 May 2025
Contrastive Learning-Enhanced Trajectory Matching for Small-Scale Dataset Distillation
Contrastive Learning-Enhanced Trajectory Matching for Small-Scale Dataset Distillation
Wenmin Li
Shunsuke Sakai
Tatsuhito Hasegawa
DD
63
0
0
21 May 2025
Collaborative Unlabeled Data Optimization
Collaborative Unlabeled Data Optimization
Xinyi Shang
Peng Sun
Fengyuan Liu
Tao Lin
80
0
0
20 May 2025
DD-Ranking: Rethinking the Evaluation of Dataset Distillation
DD-Ranking: Rethinking the Evaluation of Dataset Distillation
Zekai Li
Xinhao Zhong
Samir Khaki
Zhiyuan Liang
Yuhao Zhou
...
Konstantinos N Plataniotis
Zhangyang Wang
Bo Zhao
Yang You
Kai Wang
DD
92
0
0
19 May 2025
Equally Critical: Samples, Targets, and Their Mappings in Datasets
Equally Critical: Samples, Targets, and Their Mappings in Datasets
Runkang Yang
Peng Sun
Xinyi Shang
Yi Tang
Tao R. Lin
34
0
0
17 May 2025
GPS: Distilling Compact Memories via Grid-based Patch Sampling for Efficient Online Class-Incremental Learning
GPS: Distilling Compact Memories via Grid-based Patch Sampling for Efficient Online Class-Incremental Learning
Mingchuan Ma
Yuhao Zhou
Jindi Lv
Yuxin Tian
Dan Si
Shujian Li
Qing Ye
Jiancheng Lv
CLL
94
0
0
14 Apr 2025
Dataset Distillation of 3D Point Clouds via Distribution Matching
Dataset Distillation of 3D Point Clouds via Distribution Matching
Jae-Young Yim
Dongwook Kim
Jae-Young Sim
DD3DPC
106
0
0
28 Mar 2025
SCORE: Soft Label Compression-Centric Dataset Condensation via Coding Rate Optimization
SCORE: Soft Label Compression-Centric Dataset Condensation via Coding Rate Optimization
Bowen Yuan
Yuxia Fu
Zijian Wang
Yadan Luo
Zi Huang
DD
170
0
0
18 Mar 2025
A Large-Scale Study on Video Action Dataset Condensation
A Large-Scale Study on Video Action Dataset Condensation
Yang Chen
Sheng Guo
Bo Zheng
Limin Wang
DD
169
3
0
13 Mar 2025
Distilling Dataset into Neural Field
DongHyeok Shin
Heesun Bae
Gyuwon Sim
Wanmo Kang
Il-Chul Moon
DD
158
1
0
05 Mar 2025
Understanding Dataset Distillation via Spectral Filtering
Deyu Bo
Songhua Liu
Xinchao Wang
DD
141
0
0
03 Mar 2025
Dataset Distillation with Neural Characteristic Function: A Minmax Perspective
Dataset Distillation with Neural Characteristic Function: A Minmax Perspective
Shaobo Wang
Yicun Yang
Ziqiang Liu
Chenghao Sun
Xuming Hu
Conghui He
Li Zhang
DD
152
10
0
28 Feb 2025
Does Training with Synthetic Data Truly Protect Privacy?
Does Training with Synthetic Data Truly Protect Privacy?
Yunpeng Zhao
Jie Zhang
146
1
0
18 Feb 2025
On Learning Representations for Tabular Data Distillation
On Learning Representations for Tabular Data Distillation
Inwon Kang
Parikshit Ram
Yi Zhou
Horst Samulowitz
Oshani Seneviratne
DD
115
0
0
23 Jan 2025
Dataset Distillation via Committee Voting
Dataset Distillation via Committee Voting
Jiacheng Cui
Zhaoyi Li
Xiaochen Ma
Xinyue Bi
Yaxin Luo
Zhiqiang Shen
DDFedML
127
2
0
13 Jan 2025
FairDD: Fair Dataset Distillation via Synchronized Matching
FairDD: Fair Dataset Distillation via Synchronized Matching
Qihang Zhou
Shenhao Fang
Shibo He
Wenchao Meng
Jiming Chen
FedMLDD
204
1
0
29 Nov 2024
Color-Oriented Redundancy Reduction in Dataset Distillation
Bowen Yuan
Zijian Wang
Mahsa Baktashmotlagh
Yadan Luo
Zi Huang
DD
214
2
0
18 Nov 2024
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
150
6
0
22 Oct 2024
Enhancing Dataset Distillation via Label Inconsistency Elimination and
  Learning Pattern Refinement
Enhancing Dataset Distillation via Label Inconsistency Elimination and Learning Pattern Refinement
Chuhao Zhou
Chenxi Jiang
Yi Xie
Haozhi Cao
Jianfei Yang
DD
47
1
0
17 Oct 2024
Towards Understanding and Enhancing Security of Proof-of-Training for
  DNN Model Ownership Verification
Towards Understanding and Enhancing Security of Proof-of-Training for DNN Model Ownership Verification
Yijia Chang
Hanrui Jiang
Chao Lin
Xinyi Huang
Jian Weng
AAML
143
0
0
06 Oct 2024
DRUPI: Dataset Reduction Using Privileged Information
DRUPI: Dataset Reduction Using Privileged Information
Shaobo Wang
Yantai Yang
Shuaiyu Zhang
Chenghao Sun
Weiya Li
Xuming Hu
Linfeng Zhang
93
3
0
02 Oct 2024
Label-Augmented Dataset Distillation
Label-Augmented Dataset Distillation
Seoungyoon Kang
Youngsun Lim
Hyunjung Shim
DD
85
2
0
24 Sep 2024
Distilling Long-tailed Datasets
Distilling Long-tailed Datasets
Zhenghao Zhao
Haoxuan Wang
Yuzhang Shang
Kai Wang
Yan Yan
DD
107
3
0
24 Aug 2024
Not All Samples Should Be Utilized Equally: Towards Understanding and Improving Dataset Distillation
Not All Samples Should Be Utilized Equally: Towards Understanding and Improving Dataset Distillation
Shaobo Wang
Yantai Yang
Qilong Wang
Kaixin Li
Linfeng Zhang
Junchi Yan
DD
126
6
0
22 Aug 2024
Heavy Labels Out! Dataset Distillation with Label Space Lightening
Heavy Labels Out! Dataset Distillation with Label Space Lightening
Ruonan Yu
Songhua Liu
Zigeng Chen
Jingwen Ye
Xinchao Wang
DD
122
2
0
15 Aug 2024
Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator
Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator
Xin Zhang
Jiawei Du
Ping Liu
Joey Tianyi Zhou
DD
147
3
0
13 Aug 2024
Prioritize Alignment in Dataset Distillation
Prioritize Alignment in Dataset Distillation
Zekai Li
Ziyao Guo
Wangbo Zhao
Tianle Zhang
Zhi-Qi Cheng
...
Kaipeng Zhang
A. Sajedi
Konstantinos N Plataniotis
Kai Wang
Yang You
DD
100
3
0
06 Aug 2024
Dataset Distillation by Automatic Training Trajectories
Dataset Distillation by Automatic Training Trajectories
Dai Liu
Jindong Gu
Hu Cao
Carsten Trinitis
Martin Schulz
DD
92
13
0
19 Jul 2024
Dataset Quantization with Active Learning based Adaptive Sampling
Dataset Quantization with Active Learning based Adaptive Sampling
Zhenghao Zhao
Yuzhang Shang
Junyi Wu
Yan Yan
DD
98
5
0
09 Jul 2024
Towards Stable and Storage-efficient Dataset Distillation: Matching
  Convexified Trajectory
Towards Stable and Storage-efficient Dataset Distillation: Matching Convexified Trajectory
Wenliang Zhong
Haoyu Tang
Qinghai Zheng
Mingzhu Xu
Yupeng Hu
Liqiang Nie
DD
83
2
0
28 Jun 2024
Dataset Condensation with Latent Quantile Matching
Dataset Condensation with Latent Quantile Matching
Wei Wei
Tom De Schepper
Kevin Mets
DD
81
2
0
14 Jun 2024
Mitigating Bias in Dataset Distillation
Mitigating Bias in Dataset Distillation
Justin Cui
Ruochen Wang
Yuanhao Xiong
Cho-Jui Hsieh
DD
81
1
0
06 Jun 2024
CondTSF: One-line Plugin of Dataset Condensation for Time Series
  Forecasting
CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting
Jianrong Ding
Zhanyu Liu
Guanjie Zheng
Haiming Jin
Linghe Kong
AI4TSDD
105
3
0
04 Jun 2024
DANCE: Dual-View Distribution Alignment for Dataset Condensation
DANCE: Dual-View Distribution Alignment for Dataset Condensation
Hansong Zhang
Shikun Li
Fanzhao Lin
Weiping Wang
Zhenxing Qian
Shiming Ge
DD
85
5
0
03 Jun 2024
SelMatch: Effectively Scaling Up Dataset Distillation via
  Selection-Based Initialization and Partial Updates by Trajectory Matching
SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory Matching
Yongmin Lee
Hye Won Chung
119
10
0
28 May 2024
Enabling On-Device Learning via Experience Replay with Efficient Dataset
  Condensation
Enabling On-Device Learning via Experience Replay with Efficient Dataset Condensation
Gelei Xu
Ningzhi Tang
Jun Xia
Wei Jin
Yiyu Shi
DD
97
0
0
25 May 2024
Efficiency for Free: Ideal Data Are Transportable Representations
Efficiency for Free: Ideal Data Are Transportable Representations
Peng Sun
Yi Jiang
Tao Lin
DD
124
0
0
23 May 2024
GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost
GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost
Xinyi Shang
Peng Sun
Tao Lin
111
3
0
23 May 2024
ATOM: Attention Mixer for Efficient Dataset Distillation
ATOM: Attention Mixer for Efficient Dataset Distillation
Samir Khaki
A. Sajedi
Kai Wang
Lucy Z. Liu
Y. Lawryshyn
Konstantinos N. Plataniotis
138
4
0
02 May 2024
Generative Dataset Distillation: Balancing Global Structure and Local
  Details
Generative Dataset Distillation: Balancing Global Structure and Local Details
Longzhen Li
Guang Li
Ren Togo
Keisuke Maeda
Takahiro Ogawa
Miki Haseyama
DD
82
7
0
26 Apr 2024
Exploring the Impact of Dataset Bias on Dataset Distillation
Exploring the Impact of Dataset Bias on Dataset Distillation
Yao Lu
Jianyang Gu
Xuguang Chen
Saeed Vahidian
Qi Xuan
DD
76
3
0
24 Mar 2024
Progressive trajectory matching for medical dataset distillation
Progressive trajectory matching for medical dataset distillation
Zhennaan Yu
Yang Liu
Qingchao Chen
DD
74
4
0
20 Mar 2024
DD-RobustBench: An Adversarial Robustness Benchmark for Dataset
  Distillation
DD-RobustBench: An Adversarial Robustness Benchmark for Dataset Distillation
Yifan Wu
Jiawei Du
Ping Liu
Yuewei Lin
Wenqing Cheng
Wei Xu
DDAAML
100
5
0
20 Mar 2024
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks
Philip Matthias Winter
M. Wimmer
David Major
Dimitrios Lenis
Astrid Berg
Theresa Neubauer
Gaia Romana De Paolis
Johannes Novotny
Sophia Ulonska
Katja Bühler
154
0
0
18 Mar 2024
One Category One Prompt: Dataset Distillation using Diffusion Models
One Category One Prompt: Dataset Distillation using Diffusion Models
Ali Abbasi
Ashkan Shahbazi
Hamed Pirsiavash
Soheil Kolouri
DiffMDD
61
3
0
11 Mar 2024
Navigating Complexity: Toward Lossless Graph Condensation via Expanding
  Window Matching
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching
Yuchen Zhang
Tianle Zhang
Kai Wang
Ziyao Guo
Yuxuan Liang
Xavier Bresson
Wei Jin
Yang You
128
26
0
07 Feb 2024
12
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