13.6.3.3 Dataset Distillation, Dataset Summary, Dataset Quantization

Chapter Contents (Back)
Dataset Distillation. Dataset Summarization.

Yu, R.N.[Ruo-Nan], Liu, S.H.[Song-Hua], Wang, X.C.[Xin-Chao],
Dataset Distillation: A Comprehensive Review,
PAMI(46), No. 1, January 2024, pp. 150-170.
IEEE DOI 2312
Dataset condensation. Reduse to what matters. BibRef

Lei, S.[Shiye], Tao, D.C.[Da-Cheng],
A Comprehensive Survey of Dataset Distillation,
PAMI(46), No. 1, January 2024, pp. 17-32.
IEEE DOI 2312
BibRef


Zhu, D.Y.[Dong-Yao], Fang, Y.B.[Yan-Bo], Lei, B.[Bowen], Xie, Y.Q.[Yi-Qun], Xu, D.K.[Dong-Kuan], Zhang, J.[Jie], Zhang, R.[Ruqi],
Rethinking Data Distillation: Do Not Overlook Calibration,
ICCV23(4912-4922)
IEEE DOI 2401
BibRef

van Noord, N.[Nanne],
Prototype-based Dataset Comparison,
ICCV23(1944-1954)
IEEE DOI Code:
WWW Link. 2401
BibRef

Sajedi, A.[Ahmad], Khaki, S.[Samir], Amjadian, E.[Ehsan], Liu, L.Z.[Lucy Z.], Lawryshyn, Y.A.[Yuri A.], Plataniotis, K.N.[Konstantinos N.],
DataDAM: Efficient Dataset Distillation with Attention Matching,
ICCV23(17051-17061)
IEEE DOI 2401
BibRef

Zhou, D.[Daquan], Wang, K.[Kai], Gu, J.Y.[Jian-Yang], Peng, X.Y.[Xiang-Yu], Lian, D.Z.[Dong-Ze], Zhang, Y.F.[Yi-Fan], You, Y.[Yang], Feng, J.S.[Jia-Shi],
Dataset Quantization,
ICCV23(17159-17170)
IEEE DOI 2401
BibRef

Liu, Y.Q.[Yan-Qing], Gu, J.Y.[Jian-Yang], Wang, K.[Kai], Zhu, Z.[Zheng], Jiang, W.[Wei], You, Y.[Yang],
DREAM: Efficient Dataset Distillation by Representative Matching,
ICCV23(17268-17278)
IEEE DOI 2401
BibRef

Liu, S.[Songhua], Wang, X.C.[Xin-Chao],
Few-Shot Dataset Distillation via Translative Pre-Training,
ICCV23(18608-18618)
IEEE DOI 2401
BibRef

Mazumder, A.[Alokendu], Baruah, T.[Tirthajit], Singh, A.K.[Akash Kumar], Murthy, P.K.[Pagadala Krishna], Pattanaik, V.[Vishwajeet], Rathore, P.[Punit],
DeepVAT: A Self-Supervised Technique for Cluster Assessment in Image Datasets,
VIPriors23(187-195)
IEEE DOI 2401
BibRef

Zhang, L.[Lei], Zhang, J.[Jie], Lei, B.[Bowen], Mukherjee, S.[Subhabrata], Pan, X.[Xiang], Zhao, B.[Bo], Ding, C.[Caiwen], Li, Y.[Yao], Xu, D.[Dongkuan],
Accelerating Dataset Distillation via Model Augmentation,
CVPR23(11950-11959)
IEEE DOI 2309
smaller but efficient synthetic training datasets from large ones BibRef

Cazenavette, G.[George], Wang, T.Z.[Tong-Zhou], Torralba, A.[Antonio], Efros, A.A.[Alexei A.], Zhu, J.Y.[Jun-Yan],
Generalizing Dataset Distillation via Deep Generative Prior,
CVPR23(3739-3748)
IEEE DOI 2309
BibRef

Wang, Z.J.[Zi-Jia], Yang, W.B.[Wen-Bin], Liu, Z.S.[Zhi-Song], Chen, Q.[Qiang], Ni, J.C.[Jia-Cheng], Jia, Z.[Zhen],
Gift from Nature: Potential Energy Minimization for Explainable Dataset Distillation,
MLCSA22(240-255).
Springer DOI 2307
BibRef

Cazenavette, G.[George], Wang, T.Z.[Tong-Zhou], Torralba, A.[Antonio], Efros, A.A.[Alexei A.], Zhu, J.Y.[Jun-Yan],
Dataset Distillation by Matching Training Trajectories,
CVPR22(10708-10717)
IEEE DOI 2210
BibRef
Earlier: VDU22(4749-4758)
IEEE DOI 2210
Training, Visualization, Trajectory, Task analysis, Unsupervised learning, Pattern matching, Self- semi- meta- unsupervised learning Training, Visualization, Trajectory, Task analysis, Pattern matching BibRef

Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
Fine Tuning, Fine-Tuning, Pre-Training, Zero-Shot, One-Shot .


Last update:Apr 27, 2024 at 11:46:35