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2303.04449
Cited By
Loss-Curvature Matching for Dataset Selection and Condensation
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
8 March 2023
Seung-Jae Shin
Heesun Bae
DongHyeok Shin
Weonyoung Joo
Il-Chul Moon
DD
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Papers citing
"Loss-Curvature Matching for Dataset Selection and Condensation"
26 / 26 papers shown
Autoguided Online Data Curation for Diffusion Model Training
Valeria Pais
Luis Oala
Daniele Faccio
Marco Aversa
180
1
0
18 Sep 2025
A Discrepancy-Based Perspective on Dataset Condensation
Tong Chen
Raghavendra Selvan
DD
314
1
0
12 Sep 2025
Improving Noise Efficiency in Privacy-preserving Dataset Distillation
Runkai Zheng
Vishnu Asutosh Dasu
Yinong Wang
Haohan Wang
Fernando de la Torre
DD
337
2
0
03 Aug 2025
OASIS: Online Sample Selection for Continual Visual Instruction Tuning
Minjae Lee
Minhyuk Seo
Tingyu Qu
Tinne Tuytelaars
Jonghyun Choi
VLM
334
5
0
27 May 2025
DD-Ranking: Rethinking the Evaluation of Dataset Distillation
Zekai Li
Xinhao Zhong
Samir Khaki
Zhiyuan Liang
Yuhao Zhou
...
Konstantinos N Plataniotis
Zinan Lin
Bo Zhao
Yang You
Kai Wang
DD
672
9
0
19 May 2025
Training-Free Dataset Pruning for Instance Segmentation
International Conference on Learning Representations (ICLR), 2025
Yalun Dai
Lingao Xiao
Ivor W. Tsang
Yang He
ISeg
383
4
0
02 Mar 2025
Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios
Computer Vision and Pattern Recognition (CVPR), 2024
Kai Wang
Zekai Li
Zhi-Qi Cheng
Samir Khaki
A. Sajedi
Ramakrishna Vedantam
Konstantinos N. Plataniotis
Alexander G. Hauptmann
Yang You
DD
441
14
0
22 Oct 2024
Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?
Neural Information Processing Systems (NeurIPS), 2024
Lingao Xiao
Yang He
DD
403
14
0
21 Oct 2024
DistDD: Distributed Data Distillation Aggregation through Gradient Matching
Ke Chen
Haohan Wang
FedML
DD
252
1
0
11 Oct 2024
DRUPI: Dataset Reduction Using Privileged Information
Shaobo Wang
Youxin Jiang
Shuaiyu Zhang
Chenghao Sun
Weiya Li
...
Chenghao Sun
Weiya Li
Conghui He
Xuming Hu
Linfeng Zhang
451
8
0
02 Oct 2024
Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator
International Conference on Learning Representations (ICLR), 2024
Xin Zhang
Jiawei Du
Ping Liu
Joey Tianyi Zhou
DD
699
9
0
13 Aug 2024
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
339
5
0
06 Aug 2024
Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noise
Bidur Khanal
Tianhong Dai
Binod Bhattarai
Cristian A. Linte
NoLa
260
6
0
08 Jul 2024
BWS: Best Window Selection Based on Sample Scores for Data Pruning across Broad Ranges
Hoyong Choi
Nohyun Ki
Hye Won Chung
292
9
0
05 Jun 2024
CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting
Jianrong Ding
Zhanyu Liu
Guanjie Zheng
Haiming Jin
Linghe Kong
AI4TS
DD
442
7
0
04 Jun 2024
Exploring the Impact of Dataset Bias on Dataset Distillation
Yao Lu
Jianyang Gu
Xuguang Chen
Saeed Vahidian
Qi Xuan
DD
242
3
0
24 Mar 2024
GenOL: Generating Diverse Examples for Name-only Online Learning
Minhyuk Seo
Diganta Misra
Seongwon Cho
Minjae Lee
Jonghyun Choi
Seon Joo Kim
Jonghyun Choi
SyDa
443
13
0
16 Mar 2024
Unknown Domain Inconsistency Minimization for Domain Generalization
International Conference on Learning Representations (ICLR), 2024
Seungjae Shin
Heesun Bae
Byeonghu Na
Yoon-Yeong Kim
Il-Chul Moon
329
10
0
12 Mar 2024
Multisize Dataset Condensation
International Conference on Learning Representations (ICLR), 2024
Yang He
Lingao Xiao
Qiufeng Wang
Ivor Tsang
AI4CE
DD
447
21
0
10 Mar 2024
Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning
Computer Vision and Pattern Recognition (CVPR), 2023
Xin Zhang
Jiawei Du
Yunsong Li
Weiying Xie
Qiufeng Wang
464
38
0
22 Nov 2023
Embarassingly Simple Dataset Distillation
Yunzhen Feng
Ramakrishna Vedantam
Julia Kempe
DD
410
7
0
13 Nov 2023
You Only Condense Once: Two Rules for Pruning Condensed Datasets
Neural Information Processing Systems (NeurIPS), 2023
Yang He
Lingao Xiao
Qiufeng Wang
269
26
0
21 Oct 2023
IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models
Shaokun Zhang
Xiaobo Xia
Zhaoqing Wang
Ling-Hao Chen
Jiale Liu
Qingyun Wu
Tongliang Liu
391
28
0
16 Oct 2023
Leveraging Hierarchical Feature Sharing for Efficient Dataset Condensation
European Conference on Computer Vision (ECCV), 2023
Haizhong Zheng
Jiachen Sun
Shutong Wu
B. Kailkhura
Zhuoqing Mao
Chaowei Xiao
Atul Prakash
DD
243
6
0
11 Oct 2023
Towards Efficient Deep Hashing Retrieval: Condensing Your Data via Feature-Embedding Matching
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Tao Feng
Jie Zhang
Peizheng Wang
Zhijie Wang
Shengyuan Pang
DD
509
0
0
29 May 2023
Contextual Diversity for Active Learning
European Conference on Computer Vision (ECCV), 2020
Sharat Agarwal
H. Arora
Saket Anand
Chetan Arora
589
225
0
13 Aug 2020
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