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Dataset condensation aims at reducing the network training effort through condensing a cumbersome training set into a compact synthetic one.
Gradient-based learning applied to document recognition
Yann LeCun, Léon Bottou, Yoshua Bengio, Patrick Haffner, et al · 1998
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Approximating extent measures of points
Pankaj K Agarwal, Sariel Har-Peled, and Kasturi R Varadarajan · 2004
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A ptas for k-means clustering based on weak coresets
Dan Feldman, Morteza Monemizadeh, and Christian Sohler · 2007
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Facility location: concepts, models, algorithms and case studies
Reza Zanjirani Farahani and Masoud Hekmatfar · 2009
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Learning multiple layers of features from tiny images
Alex Krizhevsky, Geoffrey Hinton, et al · 2009
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Super-samples from kernel herding
Yutian Chen, Max Welling, and Alex Smola · 2010
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Scalable training of mixture models via coresets
Dan Feldman, Matthew Faulkner, and Andreas Krause · 2011
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Facility location: concepts, models, algorithms and case studies
G W Wolf · 2011
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The PASCAL Visual Object Classes Challenge 2012 (VOC2012) Results
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman · 2012
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Convolutional neural networks applied to house numbers digit classification
Pierre Sermanet, Soumith Chintala, and Yann LeCun · 2012
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Turning big data into tiny data: Constant-size coresets for k-means, pca and projective clustering
Dan Feldman, Melanie Schmidt, and Christian Sohler · 2013
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Conditional generative adversarial nets
Mehdi Mirza and Simon Osindero · 2014
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Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
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Submodularity in data subset selection and active learning
Kai Wei, Rishabh Iyer, and Jeff Bilmes · 2015
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Youtube-boundingboxes: A large high-precision human-annotated data set for object detection in video
Esteban Real, Jonathon Shlens, Stefano Mazzocchi, Xin Pan, and Vincent Vanhoucke · 2017
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icarl: Incremental classifier and representation learning
Sylvestre-Alvise Rebuffi, Alexander Kolesnikov, Georg Sperl, and Christoph H Lampert · 2017
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Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms
Han Xiao, Kashif Rasul, and Roland Vollgraf · 2017
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Understanding deep learning requires rethinking generalization
Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, and Oriol Vinyals · 2017
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End-to-end incremental learning
Francisco M Castro, Manuel J Marín-Jiménez, Nicolás Guil, Cordelia Schmid, and Karteek Alahari · 2018
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Suppressing uncertainties for large-scale facial expression recognition
Kai Wang, Xiaojiang Peng, Jianfei Yang, Shijian Lu, and Yu Qiao · 2020
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Region attention networks for pose and occlusion robust facial expression recognition
Kai Wang, Xiaojiang Peng, Jianfei Yang, Debin Meng, and Yu Qiao · 2020
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Dataset meta-learning from kernel-ridge regression
Timothy Nguyen, Zhourong Chen, and Jaehoon Lee · 2021
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Dataset distillation with infinitely wide convolutional networks
Timothy Nguyen, Roman Novak, Lechao Xiao, and Jaehoon Lee · 2021
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Mask aware network for masked face recognition in the wild
Kai Wang, Shuo Wang, Jianfei Yang, Xiaobo Wang, Baigui Sun, Hao Li, and Yang You · 2021
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An efficient training approach for very large scale face recognition
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Active learning for convolutional neural networks: A core-set approach
Ozan Sener and Silvio Savarese · 2018
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Tongzhou Wang, Jun-Yan Zhu, Antonio Torralba, and Alexei A Efros · 2018
Cited alongside, same era.
Gradient based sample selection for online continual learning
Rahaf Aljundi, Min Lin, Baptiste Goujaud, and Yoshua Bengio · 2019
Cited alongside, same era.
An empirical study of example forgetting during deep neural network learning
Mariya Toneva, Alessandro Sordoni, Remi Tachet des Combes, Adam Trischler, Yoshua Bengio, and Geoffrey J Gordon · 2019
Cited alongside, same era.
Scail: Classifier weights scaling for class incremental learning
Eden Belouadah and Adrian Popescu · 2020
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Flexible dataset distillation: Learn labels instead of images
Ondrej Bohdal, Yongxin Yang, and Timothy Hospedales · 2020
Cited alongside, same era.
The epic-kitchens dataset: Collection, challenges and baselines
Dima Damen, Hazel Doughty, Giovanni Farinella, Sanja Fidler, Antonino Furnari, Evangelos Kazakos, Davide Moltisanti, Jonathan Munro, Toby Perrett, Will Price, et al · 2020
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Kai Wang, Shuo Wang, Zhipeng Zhou, Xiaobo Wang, Xiaojiang Peng, Baigui Sun, Hao Li, and Yang You · 2021
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Free lunch for few-shot learning: Distribution calibration
Shuo Yang, Lu Liu, and Min Xu · 2021
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Bridging the gap between few-shot and many-shot learning via distribution calibration
Shuo Yang, Songhua Wu, Tongliang Liu, and Min Xu · 2021
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Single-view 3d object reconstruction from shape priors in memory
Shuo Yang, Min Xu, Haozhe Xie, Stuart Perry, and Jiahao Xia · 2021
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Online coreset selection for rehearsal-based continual learning
Jaehong Yoon, Divyam Madaan, Eunho Yang, and Sung Ju Hwang · 2021
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Learning dynamical human-joint affinity for 3d pose estimation in videos
Junhao Zhang, Yali Wang, Zhipeng Zhou, Tianyu Luan, Zhe Wang, and Yu Qiao · 2021
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Dataset condensation with differentiable siamese augmentation
Bo Zhao and Hakan Bilen · 2021
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Dataset condensation with distribution matching
Bo Zhao and Hakan Bilen · 2021
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Dataset condensation with gradient matching
Bo Zhao, Konda Reddy Mopuri, and Hakan Bilen · 2021
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Dataset distillation by matching training trajectories
George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A Efros, and Jun-Yan Zhu · 2022
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Crafting better contrastive views for siamese representation learning
Xiangyu Peng, Kai Wang, Zheng Zhu, and Yang You · 2022
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Graph-based few-shot learning with transformed feature propagation and optimal class allocation
Ruiheng Zhang, Shuo Yang, Qi Zhang, Lixin Xu, Yang He, and Fan Zhang · 2022
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