Release

Author: lizekai-richard

README.md

@@ -13,7 +13,7 @@
 Fair and benchmark for dataset distillation.
 </h3> -->
 <p align="center">
-| <a href="https://nus-hpc-ai-lab.github.io/DD-Ranking/"><b>Documentation</b></a> | <a href="https://huggingface.co/spaces/logits/DD-Ranking"><b>Leaderboard</b></a> | <a href=""><b>Paper </b> (Coming Soon)</a> | <a href=""><b>Twitter/X</b> (Coming Soon)</a> | <a href="https://join.slack.com/t/dd-ranking/shared_invite/zt-2xlcuq1mf-hmVcfrtqrIB3qXRjwgB03A"><b>Developer Slack</b></a> |
+| <a href="https://nus-hpc-ai-lab.github.io/DD-Ranking/"><b>Documentation</b></a> | <a href="https://huggingface.co/spaces/logits/DD-Ranking"><b>Leaderboard</b></a> | <a href=""><b>Paper </b> (Coming Soon)</a> | <a href="https://x.com/Richard91316073/status/1890296645486801230"><b>Twitter/X</b></a> | <a href="https://join.slack.com/t/dd-ranking/shared_invite/zt-2xlcuq1mf-hmVcfrtqrIB3qXRjwgB03A"><b>Developer Slack</b></a> |
 </p>
 
 
@@ -250,7 +250,7 @@ Please check out [CONTRIBUTING.md](./CONTRIBUTING.md) for how to get involved.
 - [Dai Liu](https://scholar.google.com/citations?user=3aWKpkQAAAAJ&hl=en) (Munich Technology University)
 - [Kaipeng Zhang](https://kpzhang93.github.io/) (Shanghai AI Lab)
 - [Tianyi Zhou](https://joeyzhouty.github.io/) (A*STAR)
-- [Zheng Zhu](http://www.zhengzhu.net/) (GigaAI)
+- [Zheng Zhu](http://www.zhengzhu.net/) (Tsinghua University)
 - [Kun Wang](https://www.kunwang.net/) (University of Science and Technology of China)
 - [Guang Li](https://www-lmd.ist.hokudai.ac.jp/member/guang-li/) (Hokkaido University)
 - [Junhao Zhang](https://junhaozhang98.github.io/) (National University of Singapore)

book/index.html

@@ -160,7 +160,7 @@ <h1 class="menu-title">DD-Ranking API Documentation</h1>
 <span style="display: block; text-align: center;">
 <p><a href="https://github.com/NUS-HPC-AI-Lab/DD-Ranking"><img src="https://img.shields.io/github/stars/NUS-HPC-AI-Lab/DD-Ranking?style=flat&amp;logo=github" alt="GitHub stars" /></a>
 <a href="https://huggingface.co/spaces/logits/DD-Ranking"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Leaderboard-yellow?style=flat" alt="Hugging Face" /></a>
-<a href="https://twitter.com/DD_Ranking"><img src="https://img.shields.io/badge/Twitter-Follow-blue?style=flat&amp;logo=twitter" alt="Twitter" /></a></p>
+<a href="https://x.com/Richard91316073/status/1890296645486801230"><img src="https://img.shields.io/badge/Twitter-Follow-blue?style=flat&amp;logo=twitter" alt="Twitter" /></a></p>
 </span>
 <p>Welcome to <strong>DD-Ranking</strong> (DD, <em>i.e.</em>, Dataset Distillation), an integrated and easy-to-use evaluation benchmark for dataset distillation! It aims to provide a fair evaluation scheme for DD methods that can decouple the impacts from knowledge distillation and data augmentation to reflect the real informativeness of the distilled data.</p>
 <h2 id="motivation"><a class="header" href="#motivation">Motivation</a></h2>

book/introduction.html

@@ -160,7 +160,7 @@ <h1 class="menu-title">DD-Ranking API Documentation</h1>
 <span style="display: block; text-align: center;">
 <p><a href="https://github.com/NUS-HPC-AI-Lab/DD-Ranking"><img src="https://img.shields.io/github/stars/NUS-HPC-AI-Lab/DD-Ranking?style=flat&amp;logo=github" alt="GitHub stars" /></a>
 <a href="https://huggingface.co/spaces/logits/DD-Ranking"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Leaderboard-yellow?style=flat" alt="Hugging Face" /></a>
-<a href="https://twitter.com/DD_Ranking"><img src="https://img.shields.io/badge/Twitter-Follow-blue?style=flat&amp;logo=twitter" alt="Twitter" /></a></p>
+<a href="https://x.com/Richard91316073/status/1890296645486801230"><img src="https://img.shields.io/badge/Twitter-Follow-blue?style=flat&amp;logo=twitter" alt="Twitter" /></a></p>
 </span>
 <p>Welcome to <strong>DD-Ranking</strong> (DD, <em>i.e.</em>, Dataset Distillation), an integrated and easy-to-use evaluation benchmark for dataset distillation! It aims to provide a fair evaluation scheme for DD methods that can decouple the impacts from knowledge distillation and data augmentation to reflect the real informativeness of the distilled data.</p>
 <h2 id="motivation"><a class="header" href="#motivation">Motivation</a></h2>

book/print.html

@@ -161,7 +161,7 @@ <h1 class="menu-title">DD-Ranking API Documentation</h1>
 <span style="display: block; text-align: center;">
 <p><a href="https://github.com/NUS-HPC-AI-Lab/DD-Ranking"><img src="https://img.shields.io/github/stars/NUS-HPC-AI-Lab/DD-Ranking?style=flat&amp;logo=github" alt="GitHub stars" /></a>
 <a href="https://huggingface.co/spaces/logits/DD-Ranking"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Leaderboard-yellow?style=flat" alt="Hugging Face" /></a>
-<a href="https://twitter.com/DD_Ranking"><img src="https://img.shields.io/badge/Twitter-Follow-blue?style=flat&amp;logo=twitter" alt="Twitter" /></a></p>
+<a href="https://x.com/Richard91316073/status/1890296645486801230"><img src="https://img.shields.io/badge/Twitter-Follow-blue?style=flat&amp;logo=twitter" alt="Twitter" /></a></p>
 </span>
 <p>Welcome to <strong>DD-Ranking</strong> (DD, <em>i.e.</em>, Dataset Distillation), an integrated and easy-to-use evaluation benchmark for dataset distillation! It aims to provide a fair evaluation scheme for DD methods that can decouple the impacts from knowledge distillation and data augmentation to reflect the real informativeness of the distilled data.</p>
 <h2 id="motivation"><a class="header" href="#motivation">Motivation</a></h2>

doc/introduction.md

@@ -6,7 +6,7 @@
 
 [![GitHub stars](https://img.shields.io/github/stars/NUS-HPC-AI-Lab/DD-Ranking?style=flat&logo=github)](https://github.com/NUS-HPC-AI-Lab/DD-Ranking)
 [![Hugging Face](https://img.shields.io/badge/🤗%20Hugging%20Face-Leaderboard-yellow?style=flat)](https://huggingface.co/spaces/logits/DD-Ranking)
-[![Twitter](https://img.shields.io/badge/Twitter-Follow-blue?style=flat&logo=twitter)](https://twitter.com/DD_Ranking)
+[![Twitter](https://img.shields.io/badge/Twitter-Follow-blue?style=flat&logo=twitter)](https://x.com/Richard91316073/status/1890296645486801230)
 
 </span>