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Condensed Composite Memory Continual Learning
v1v2 (latest)

Condensed Composite Memory Continual Learning

IEEE International Joint Conference on Neural Network (IJCNN), 2021
19 February 2021
Felix Wiewel
Binh Yang
    DD
ArXiv (abs)PDFHTMLGithub (5★)

Papers citing "Condensed Composite Memory Continual Learning"

19 / 19 papers shown
Dataset Distillation by Automatic Training Trajectories
Dataset Distillation by Automatic Training Trajectories
Dai Liu
Jindong Gu
Hu Cao
Carsten Trinitis
Martin Schulz
DD
312
35
0
19 Jul 2024
DiLM: Distilling Dataset into Language Model for Text-level Dataset
  Distillation
DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation
Aru Maekawa
Satoshi Kosugi
Kotaro Funakoshi
Manabu Okumura
DD
390
21
0
30 Mar 2024
Improve Cross-Architecture Generalization on Dataset Distillation
Improve Cross-Architecture Generalization on Dataset Distillation
Binglin Zhou
Linhao Zhong
Wentao Chen
DD
367
8
0
20 Feb 2024
Importance-Aware Adaptive Dataset Distillation
Importance-Aware Adaptive Dataset DistillationNeural Networks (NN), 2024
Guang Li
Ren Togo
Takahiro Ogawa
Miki Haseyama
DD
374
18
0
29 Jan 2024
M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy
M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy
Hansong Zhang
Shikun Li
Pengju Wang
Dan Zeng
Shiming Ge
DD
464
60
0
26 Dec 2023
PUMA: Efficient Continual Graph Learning for Node Classification with
  Graph Condensation
PUMA: Efficient Continual Graph Learning for Node Classification with Graph Condensation
Yilun Liu
Ruihong Qiu
Yanran Tang
Hongzhi Yin
Zi Huang
426
12
0
22 Dec 2023
Boosting the Cross-Architecture Generalization of Dataset Distillation
  through an Empirical Study
Boosting the Cross-Architecture Generalization of Dataset Distillation through an Empirical Study
Lirui Zhao
Yuxin Zhang
Jiayi Ji
Rongrong Ji
270
4
0
09 Dec 2023
CaT: Balanced Continual Graph Learning with Graph Condensation
CaT: Balanced Continual Graph Learning with Graph CondensationIndustrial Conference on Data Mining (IDM), 2023
Yilun Liu
Ruihong Qiu
Zi Huang
DD
529
64
0
18 Sep 2023
Structure-free Graph Condensation: From Large-scale Graphs to Condensed
  Graph-free Data
Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free DataNeural Information Processing Systems (NeurIPS), 2023
Xin Zheng
Miao Zhang
C. Chen
Quoc Viet Hung Nguyen
Xingquan Zhu
Shirui Pan
DD
375
93
0
05 Jun 2023
DREAM: Efficient Dataset Distillation by Representative Matching
DREAM: Efficient Dataset Distillation by Representative MatchingIEEE International Conference on Computer Vision (ICCV), 2023
Yanqing Liu
Jianyang Gu
Kai Wang
Zheng Hua Zhu
Wei Jiang
Yang You
DD
466
112
0
28 Feb 2023
Differentially Private Kernel Inducing Points using features from
  ScatterNets (DP-KIP-ScatterNet) for Privacy Preserving Data Distillation
Differentially Private Kernel Inducing Points using features from ScatterNets (DP-KIP-ScatterNet) for Privacy Preserving Data Distillation
Margarita Vinaroz
M. Park
DD
211
2
0
31 Jan 2023
Dataset Distillation: A Comprehensive Review
Dataset Distillation: A Comprehensive ReviewIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Ruonan Yu
Songhua Liu
Xinchao Wang
DD
475
187
0
17 Jan 2023
A Comprehensive Survey of Dataset Distillation
A Comprehensive Survey of Dataset DistillationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Shiye Lei
Dacheng Tao
DD
666
165
0
13 Jan 2023
Data Distillation: A Survey
Data Distillation: A Survey
Noveen Sachdeva
Julian McAuley
DD
484
101
0
11 Jan 2023
Dataset Distillation via Factorization
Dataset Distillation via FactorizationNeural Information Processing Systems (NeurIPS), 2022
Songhua Liu
Kai Wang
Xingyi Yang
Jingwen Ye
Xinchao Wang
DD
451
180
0
30 Oct 2022
Dataset Distillation Using Parameter Pruning
Dataset Distillation Using Parameter PruningIEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences (IEICE Trans. Fundam.), 2022
Guang Li
Ren Togo
Takahiro Ogawa
Miki Haseyama
DD
477
27
0
29 Sep 2022
Delving into Effective Gradient Matching for Dataset Condensation
Delving into Effective Gradient Matching for Dataset Condensation
Zixuan Jiang
Jiaqi Gu
Mingjie Liu
David Z. Pan
DD
321
49
0
30 Jul 2022
Sample Condensation in Online Continual Learning
Sample Condensation in Online Continual LearningIEEE International Joint Conference on Neural Network (IJCNN), 2022
Mattia Sangermano
Antonio Carta
Andrea Cossu
D. Bacciu
DD
358
48
0
23 Jun 2022
Synthesizing Informative Training Samples with GAN
Synthesizing Informative Training Samples with GAN
Bo Zhao
Hakan Bilen
DD
396
97
0
15 Apr 2022
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