Web: http://arxiv.org/abs/2206.07746

June 17, 2022, 1:10 a.m. | Wei Jin, Xianfeng Tang, Haoming Jiang, Zheng Li, Danqing Zhang, Jiliang Tang, Bin Ying

cs.LG updates on arXiv.org arxiv.org

As training deep learning models on large dataset takes a lot of time and
resources, it is desired to construct a small synthetic dataset with which we
can train deep learning models sufficiently. There are recent works that have
explored solutions on condensing image datasets through complex bi-level
optimization. For instance, dataset condensation (DC) matches network gradients
w.r.t. large-real data and small-synthetic data, where the network weights are
optimized for multiple steps at each outer iteration. However, existing
approaches have …

arxiv gradient graphs lg

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