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<!DOCTYPE html>
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<title>Awesome Dataset Distillation</title>
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<meta name="author" content="Li Longzhen">
<meta name="description" content="A curated list of awesome papers on dataset distillation and related applications.">
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<div class="show-on-large-screens"><h1 class="title display-large">Awesome Dataset Distillation</h1></div>
<div class="show-on-middle-screens"><h1 class="title display-large">Awesome<br> Dataset Distillation</h1></div>
<div class="show-on-small-screens"><h1 class="title display-large">Awesome<br> Dataset<br> Distillation</h1></div>
<div><p class="brief title-large">Awesome Dataset Distillation provides the most comprehensive and detailed information on the Dataset Distillation field.</p></div>
<div><p class="brief title-large">This project is curated and maintained by <a style="color: black;" href="https://www-lmd.ist.hokudai.ac.jp/member/guang-li/">Guang Li</a>, <a style="color: black;" href="https://www.bozhao.me/">Bo Zhao</a>, and <a style="color: black;" href="https://www.tongzhouwang.info/">Tongzhou Wang</a>.</p></div>
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Awesome Dataset Distillation
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<div class="navigation-item"><a onclick="close_sidebar()" href="#knowledge" class="title-medium on-primary-container-text">Knowledge Distillation</a></div>
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<p class="count-title on-background-text display-small">Paper Statistics:</p>
<p class="count-number on-background-text display-large">164</p>
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<h2 class="section-title display-medium on-background-text">Background & Vision</h2>
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<p class="background-vision body-large on-surface-variant-text">Dataset distillation is the task of synthesizing a small dataset such that models trained on it achieve high performance on the original large dataset. A dataset distillation algorithm takes as input a large real dataset to be distilled (training set), and outputs a small synthetic distilled dataset, which is evaluated via testing models trained on this distilled dataset on a separate real dataset (validation/test set). A good small distilled dataset is not only useful in dataset understanding, but has various applications (e.g., continual learning, privacy, neural architecture search, etc.). This task was first introduced in the paper <a class="body-large on-surface-variant-text" href="https://www.tongzhouwang.info/dataset_distillation/">Dataset Distillation [Tongzhou Wang et al., '18]</a>, along with a proposed algorithm using backpropagation through optimization steps. Then the task was first extended to the real-world datasets in the paper <a class="body-large on-surface-variant-text" href="https://arxiv.org/abs/2104.02857">Medical Dataset Distillation [Guang Li et al., '19]</a>, which also explored the privacy preservation possibilities of dataset distillation. In the paper <a class="body-large on-surface-variant-text" href="https://arxiv.org/abs/2006.05929">Dataset Condensation [Bo Zhao et al., '20]</a>, gradient matching was first introduced and greatly promoted the development of the dataset distillation field.</p>
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<p class="background-vision body-large on-surface-variant-text">In recent years (2022-now), dataset distillation has gained increasing attention in the research community, across many institutes and labs. More papers are now being published each year. These wonderful researches have been constantly improving dataset distillation and exploring its various variants and applications.</p>
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<h2 class="section-title display-medium on-background-text">Latest Updates</h2>
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<li class="edit-date">
<p class="essay-content title-large on-surface-variant-text"><strong>Call for papers</strong></p>
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<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/DataDistillation/ECCV2024-Dataset-Distillation-Challenge">The First Dataset Distillation Challenge</a></p>
<p class="title-medium essay-author"><i>Kai Wang & Ahmad Sajedi et al., ECCV 2024</i></p>
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<p class="essay-content title-large on-surface-variant-text">2024/08/07</p>
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<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/NUS-HPC-AI-Lab/PAD">Prioritize Alignment in Dataset Distillation</a></p>
<p class="title-medium essay-author"><i>Zekai Li & Ziyao Guo et al., 2024</i></p>
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<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/li2024pad.txt">
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<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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<a href="https://arxiv.org/abs/2408.03360">
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<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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</li>
<li class="edit-date">
<p class="essay-content title-large on-surface-variant-text">2024/08/02</p>
</li>
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<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/ggflow123/DDRL">Dataset Distillation for Offline Reinforcement Learning</a></p>
<p class="title-medium essay-author"><i>Jonathan Light & Yuanzhe Liu et al., ICML 2024 Workshop</i></p>
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<a href="https://datasetdistillation4rl.github.io/">
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<a href="https://arxiv.org/abs/2407.20299">
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<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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<li class="edit-date">
<p class="essay-content title-large on-surface-variant-text">2024/07/29</p>
</li>
<li><hr class="outline-variant" style="width:96%;text-align:center;"></li>
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<p class="essay-content">An Aggregation-Free Federated Learning for Tackling Data Heterogeneity</p>
<p class="title-medium essay-author"><i>Yuan Wang et al., CVPR 2024</i></p>
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<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/wang2024fed.txt">
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<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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<a href="https://arxiv.org/abs/2404.18962">
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<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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<li class="edit-date">
<p class="essay-content title-large on-surface-variant-text">2024/07/25</p>
</li>
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<p class="essay-content">Dataset Distillation in Medical Imaging: A Feasibility Study</p>
<p class="title-medium essay-author"><i>Muyang Li et al., 2024</i></p>
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<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/li2024medical.txt">
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<a href="https://arxiv.org/abs/2407.14429">
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<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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<p class="essay-content">A Theoretical Study of Dataset Distillation</p>
<p class="title-medium essay-author"><i>Zachary Izzo et al., NeurIPS 2023 Workshop</i></p>
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<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/izzo2023theo.txt">
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<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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<a href="https://openreview.net/forum?id=dq5QGXGxoJ">
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<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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<li class="edit-date">
<p class="essay-content title-large on-surface-variant-text">2024/07/23</p>
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<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/NiaLiu/ATT">Dataset Distillation by Automatic Training Trajectories</a></p>
<p class="title-medium essay-author"><i>Dai Liu et al., ECCV 2024</i></p>
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<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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<a href="https://arxiv.org/abs/2407.14245">
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<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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<li class="edit-date">
<p class="essay-content title-large on-surface-variant-text">2024/07/16</p>
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<p class="essay-content">FYI: Flip Your Images for Dataset Distillation</p>
<p class="title-medium essay-author"><i>Byunggwan Son et al., ECCV 2024</i></p>
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<a href="https://cvlab.yonsei.ac.kr/projects/FYI/">
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<svg class="icon" xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="M480-80q-82 0-155-31.5t-127.5-86Q143-252 111.5-325T80-480q0-83 31.5-155.5t86-127Q252-817 325-848.5T480-880q83 0 155.5 31.5t127 86q54.5 54.5 86 127T880-480q0 82-31.5 155t-86 127.5q-54.5 54.5-127 86T480-80Zm0-82q26-36 45-75t31-83H404q12 44 31 83t45 75Zm-104-16q-18-33-31.5-68.5T322-320H204q29 50 72.5 87t99.5 55Zm208 0q56-18 99.5-55t72.5-87H638q-9 38-22.5 73.5T584-178ZM170-400h136q-3-20-4.5-39.5T300-480q0-21 1.5-40.5T306-560H170q-5 20-7.5 39.5T160-480q0 21 2.5 40.5T170-400Zm216 0h188q3-20 4.5-39.5T580-480q0-21-1.5-40.5T574-560H386q-3 20-4.5 39.5T380-480q0 21 1.5 40.5T386-400Zm268 0h136q5-20 7.5-39.5T800-480q0-21-2.5-40.5T790-560H654q3 20 4.5 39.5T660-480q0 21-1.5 40.5T654-400Zm-16-240h118q-29-50-72.5-87T584-782q18 33 31.5 68.5T638-640Zm-234 0h152q-12-44-31-83t-45-75q-26 36-45 75t-31 83Zm-200 0h118q9-38 22.5-73.5T376-782q-56 18-99.5 55T204-640Z"/></svg>
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<a href="https://arxiv.org/abs/2407.08113">
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<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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<li class="edit-date">
<p class="essay-content title-large on-surface-variant-text">2024/07/13</p>
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<p class="essay-content">Differentially Private Dataset Condensation</p>
<p class="title-medium essay-author"><i>Zheng et al., NDSS 2024 Workshop</i></p>
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<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/zheng2024differentially.txt">
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<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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<a href="https://www.ndss-symposium.org/ndss-paper/auto-draft-542/">
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<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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<li class="edit-date">
<p class="essay-content title-large on-surface-variant-text">2024/07/11</p>
</li>
<li><hr class="outline-variant" style="width:96%;text-align:center;"></li>
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<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/ichbill/DQAS">Dataset Quantization with Active Learning based Adaptive Sampling</a></p>
<p class="title-medium essay-author"><i>Zhenghao Zhao et al., ECCV 2024</i></p>
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<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/zhao2024dqas.txt">
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<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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<a href="https://arxiv.org/abs/2407.07268">
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<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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<li class="edit-date">
<p class="essay-content title-large on-surface-variant-text">2024/07/10</p>
</li>
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<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/silicx/GoldFromOres">Distill Gold from Massive Ores: Efficient Dataset Distillation via Critical Samples Selection</a></p>
<p class="title-medium essay-author"><i>Yue Xu et al., ECCV 2024</i></p>
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<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/xu2024distill.txt">
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<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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<a href="https://arxiv.org/abs/2305.18381">
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<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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<li class="edit-date">
<p class="essay-content title-large on-surface-variant-text">2024/06/28</p>
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<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/ZheLi2020/InfoDist">Image Distillation for Safe Data Sharing in Histopathology</a></p>
<p class="title-medium essay-author"><i>Zhe Li et al., MICCAI 2024</i></p>
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<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/li2024infodist.txt">
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<a href="https://arxiv.org/abs/2406.13536">
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<p class="essay-content title-large on-surface-variant-text">2024/06/26</p>
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<p class="title-medium essay-author"><i>Justin Cui et al., ICML 2024</i></p>
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<p class="title-medium essay-author"><i>Noel Loo & Alaa Maalouf et al., ICML 2024</i></p>
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<p class="title-medium essay-author"><i>Yongmin Lee et al., ICML 2024</i></p>
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<p class="title-medium essay-author"><i>Jingwen Ye et al., CVPR 2024</i></p>
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<p class="essay-content title-large on-surface-variant-text">2024/06/14</p>
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<p class="title-medium essay-author"><i>Zheng Zhou et al., 2024</i></p>
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<p class="essay-content title-large on-surface-variant-text">2024/06/11</p>
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<p class="title-medium essay-author"><i>Xuxi Chen & Yu Yang et al., ICLR 2024</i></p>
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<p class="essay-content title-large on-surface-variant-text">2024/06/08</p>
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<p class="title-medium essay-author"><i>Yue Xu et al., ICML 2024</i></p>
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<p class="title-medium essay-author"><i>Mridul Gupta & Sahil Manchanda et al., ICLR 2024</i></p>
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<p class="title-medium essay-author"><i>Yang Liu & Deyu Bo et al., ICML 2024</i></p>
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<p class="title-medium essay-author"><i>Hongjia Xu., 2024</i></p>
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<p class="title-medium essay-author"><i>Yilun Liu et al., 2024</i></p>
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<p class="essay-content title-large on-surface-variant-text">2024/05/27</p>
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<p class="essay-content title-large on-surface-variant-text">2024/05/11</p>
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<p class="essay-content title-large on-surface-variant-text">2024/04/12</p>
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<p class="essay-content title-large on-surface-variant-text">2024/04/06</p>
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<p class="essay-content title-large on-surface-variant-text">2024/03/30</p>
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<p class="essay-content">DD-RobustBench: An Adversarial Robustness Benchmark for Dataset Distillation</p>
<p class="title-medium essay-author"><i>Yifan Wu et al., 2024</i></p>
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<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/wu2024robust.txt">
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<a href="https://arxiv.org/abs/2403.13322">
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<p class="essay-content">Towards Adversarially Robust Dataset Distillation by Curvature Regularization</p>
<p class="title-medium essay-author"><i>Eric Xue et al., 2024</i></p>
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<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/xue2024robust.txt">