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Distilled Replay: Overcoming Forgetting through Synthetic Samples
29 March 2021
Andrea Rosasco
Antonio Carta
Andrea Cossu
Vincenzo Lomonaco
D. Bacciu
DD
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Papers citing
"Distilled Replay: Overcoming Forgetting through Synthetic Samples"
35 / 35 papers shown
Generalized Kernel Inducing Points by Duality Gap for Dataset Distillation
Tatsuya Aoyama
Hanting Yang
Hiroyuki Hanada
Satoshi Akahane
Tomonari Tanaka
...
Noriaki Hashimoto
Taro Murayama
Hanju Lee
Shinya Kojima
Ichiro Takeuchi
403
1
0
18 Feb 2025
On Learning Representations for Tabular Data Distillation
Inwon Kang
Parikshit Ram
Yi Zhou
Horst Samulowitz
Oshani Seneviratne
DD
265
0
0
23 Jan 2025
Towards Mitigating Architecture Overfitting on Distilled Datasets
Xuyang Zhong
Chen Liu
DD
380
1
0
08 Jan 2025
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs
Junying Chen
Zhenyang Cai
Ke Ji
Xiang Wang
Wanlong Liu
Rongsheng Wang
Jianye Hou
Benyou Wang
LRM
233
1
0
25 Dec 2024
Decomposed Distribution Matching in Dataset Condensation
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Sahar Rahimi Malakshan
Mohammad Saeed Ebrahimi Saadabadi
Ali Dabouei
Nasser M. Nasrabadi
DD
411
1
0
06 Dec 2024
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
387
12
0
22 Oct 2024
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
405
12
0
22 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
282
5
0
06 Aug 2024
One-Shot Collaborative Data Distillation
European Conference on Artificial Intelligence (ECAI), 2024
William Holland
Chandra Thapa
Sarah Ali Siddiqui
Wei Shao
S. Çamtepe
DD
FedML
362
0
0
05 Aug 2024
Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation
Wenxiao Deng
Wenbin Li
Tianyu Ding
Lei Wang
Hongguang Zhang
Kuihua Huang
Jing Huo
Yang Gao
DD
336
33
0
31 Mar 2024
DD-RobustBench: An Adversarial Robustness Benchmark for Dataset Distillation
Yifan Wu
Jiawei Du
Ping Liu
Yuewei Lin
Wenqing Cheng
Wei Xu
DD
AAML
317
8
0
20 Mar 2024
Adaptive Hyperparameter Optimization for Continual Learning Scenarios
Rudy Semola
J. Hurtado
Vincenzo Lomonaco
Davide Bacciu
273
6
0
09 Mar 2024
Distributional Dataset Distillation with Subtask Decomposition
Tian Qin
Zhiwei Deng
David Alvarez-Melis
DD
307
5
0
01 Mar 2024
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
546
35
0
07 Feb 2024
Two Trades is not Baffled: Condensing Graph via Crafting Rational Gradient Matching
Tianle Zhang
Yuchen Zhang
Kun Wang
Kai Wang
Beining Yang
Kaipeng Zhang
Wenqi Shao
Ping Liu
Qiufeng Wang
Yang You
DD
431
15
0
07 Feb 2024
PUMA: Efficient Continual Graph Learning for Node Classification with Graph Condensation
Yilun Liu
Ruihong Qiu
Yanran Tang
Hongzhi Yin
Zi Huang
400
7
0
22 Dec 2023
SeiT++: Masked Token Modeling Improves Storage-efficient Training
European Conference on Computer Vision (ECCV), 2023
Min-Seob Lee
Song Park
Byeongho Heo
Dongyoon Han
Hyunjung Shim
MQ
VLM
428
2
0
15 Dec 2023
Boosting the Cross-Architecture Generalization of Dataset Distillation through an Empirical Study
Lirui Zhao
Yuxin Zhang
Jiayi Ji
Rongrong Ji
241
3
0
09 Dec 2023
Sequential Subset Matching for Dataset Distillation
Neural Information Processing Systems (NeurIPS), 2023
Jiawei Du
Qin Shi
Qiufeng Wang
DD
259
39
0
02 Nov 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
219
5
0
11 Oct 2023
Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching
International Conference on Learning Representations (ICLR), 2023
Ziyao Guo
Kai Wang
George Cazenavette
Hui Li
Kaipeng Zhang
Yang You
DD
460
114
0
09 Oct 2023
CaT: Balanced Continual Graph Learning with Graph Condensation
Industrial Conference on Data Mining (IDM), 2023
Yilun Liu
Ruihong Qiu
Zi Huang
DD
408
55
0
18 Sep 2023
The Importance of Robust Features in Mitigating Catastrophic Forgetting
International Symposium on Computers and Communications (ISCC), 2023
Hikmat Khan
N. Bouaynaya
Ghulam Rasool
203
9
0
29 Jun 2023
Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data
Neural Information Processing Systems (NeurIPS), 2023
Xin Zheng
Miao Zhang
C. Chen
Quoc Viet Hung Nguyen
Xingquan Zhu
Shirui Pan
DD
286
84
0
05 Jun 2023
SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel Storage
IEEE International Conference on Computer Vision (ICCV), 2023
Song Park
Sanghyuk Chun
Byeongho Heo
Wonjae Kim
Sangdoo Yun
VLM
ViT
283
9
0
20 Mar 2023
Differentially Private Kernel Inducing Points using features from ScatterNets (DP-KIP-ScatterNet) for Privacy Preserving Data Distillation
Margarita Vinaroz
M. Park
DD
181
2
0
31 Jan 2023
Dataset Distillation: A Comprehensive Review
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Ruonan Yu
Songhua Liu
Xinchao Wang
DD
367
174
0
17 Jan 2023
A Comprehensive Survey of Dataset Distillation
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Shiye Lei
Dacheng Tao
DD
484
142
0
13 Jan 2023
Data Distillation: A Survey
Noveen Sachdeva
Julian McAuley
DD
380
97
0
11 Jan 2023
Accelerating Dataset Distillation via Model Augmentation
Computer Vision and Pattern Recognition (CVPR), 2022
Lei Zhang
Jie M. Zhang
Bowen Lei
Subhabrata Mukherjee
Xiang Pan
Bo Zhao
Caiwen Ding
Yongbin Li
Dongkuan Xu
DD
365
75
0
12 Dec 2022
Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation
Computer Vision and Pattern Recognition (CVPR), 2022
Jiawei Du
Yiding Jiang
Vincent Y. F. Tan
Qiufeng Wang
Haizhou Li
DD
257
158
0
20 Nov 2022
Dataset Distillation via Factorization
Neural Information Processing Systems (NeurIPS), 2022
Songhua Liu
Kai Wang
Xingyi Yang
Jingwen Ye
Xinchao Wang
DD
374
167
0
30 Oct 2022
Centroids Matching: an efficient Continual Learning approach operating in the embedding space
Jary Pomponi
Simone Scardapane
A. Uncini
FedML
CLL
278
1
0
03 Aug 2022
AdaptCL: Adaptive Continual Learning for Tackling Heterogeneity in Sequential Datasets
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Yuqing Zhao
Divya Saxena
Jiannong Cao
CLL
281
18
0
22 Jul 2022
Dataset Distillation using Neural Feature Regression
Neural Information Processing Systems (NeurIPS), 2022
Yongchao Zhou
E. Nezhadarya
Jimmy Ba
DD
FedML
374
200
0
01 Jun 2022
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