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panzhous committed Apr 19, 2024
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Expand Up @@ -77,8 +77,8 @@ function toggleBibtex(articleid) {
<li ><p>
<strong>Masked Diffusion Transformer is a Strong Image Synthesizer</strong><br />
Shanghua Gao, <strong>Pan Zhou<sup>+</sup></strong>, Ming-Ming Cheng, Shuicheng Yan<br />
ICCV, 2023, <a href="https://arxiv.org/abs/2303.14389">[PDF]</a>
<a href="https://github.com/sail-sg/MDT">[Code]</a>
ICCV, 2023, <a href="https://arxiv.org/abs/2303.14389" style="color: black;">[PDF]</a>
<a href="https://github.com/sail-sg/MDT" style="color: black;">[Code]</a>
<iframe
style="margin-left: 2px; margin-bottom:-5px;"
frameborder="0" scrolling="0" width="91px" height="20px"
Expand All @@ -98,8 +98,8 @@ ICCV, 2023, <a href="https://arxiv.org/abs/2303.14389">[PDF]</a>
<strong>EditAnything: Empowering Unparalleled Flexibility in Image Editing and Generation</strong><br />
Shanghua Gao, Zhijie Lin, Xingyu Xie, <strong>Pan Zhou<sup>+</sup></strong>, Ming-Ming Cheng, Shuicheng Yan<br />
ACMMM, 2023,
<a href="https://dl.acm.org/doi/10.1145/3581783.3612680">[PDF]</a>
<a href="https://github.com/sail-sg/EditAnything">[Code]</a>
<a href="https://dl.acm.org/doi/10.1145/3581783.3612680" style="color: black;">[PDF]</a>
<a href="https://github.com/sail-sg/EditAnything" style="color: black;">[Code]</a>
<iframe
style="margin-left: 2px; margin-bottom:-5px;"
frameborder="0" scrolling="0" width="91px" height="20px"
Expand All @@ -114,8 +114,8 @@ ACMMM, 2023,
<strong>Consistent3D: Towards Consistent High-Fidelity Text-to-3D Generation with Deterministic Sampling Prior</strong><br />
Zike Wu, <strong>Pan Zhou<sup>+</sup></strong>, Xuanyu YI, Xiaoding Yuan, Hanwang Zhang <br />
CVPR, 2024,
<a href="https://arxiv.org/abs/2401.09050">[Axriv]</a>
<a href="https://github.com/sail-sg/Consistent3D">[Code]</a>
<a href="https://arxiv.org/abs/2401.09050" style="color: black;">[Axriv]</a>
<a href="https://github.com/sail-sg/Consistent3D" style="color: black;">[Code]</a>
<iframe
style="margin-left: 2px; margin-bottom:-5px;"
frameborder="0" scrolling="0" width="91px" height="20px"
Expand All @@ -133,10 +133,10 @@ CVPR, 2024,
<strong>Prototypical Contrastive Learning of Unsupervised Representations</strong><br />
Junnan Li, <strong>Pan Zhou</strong>, Caiming Xiong, Steven Hoi<br />
ICLR, 2021,
<a href="https://openreview.net/pdf?id=KmykpuSrjcq">[Axriv]</a>
<a href="../assets/bibtex/2021-ICLR-SSL.txt">[Bibtex]</a>
<a href="https://blog.einstein.ai/prototypical-contrastive-learning-pushing-the-frontiers-of-unsupervised-learning/">[Blog]</a>
<a href="https://github.com/salesforce/PCL">[Code]</a>, 900+ citations,
<a href="https://openreview.net/pdf?id=KmykpuSrjcq" style="color: black;">[Axriv]</a>
<a href="../assets/bibtex/2021-ICLR-SSL.txt" style="color: black;">[Bibtex]</a>
<a href="https://blog.einstein.ai/prototypical-contrastive-learning-pushing-the-frontiers-of-unsupervised-learning/" style="color: black;">[Blog]</a>
<a href="https://github.com/salesforce/PCL" style="color: black;">[Code]</a>, 900+ citations,
<iframe
style="margin-left: 2px; margin-bottom:-5px;"
frameborder="0" scrolling="0" width="91px" height="20px"
Expand All @@ -152,8 +152,8 @@ ICLR, 2021,
Weihao Yu, Chenyang Si, <strong>Pan Zhou</strong>, Mi Luo, Yichen Zhou, Jiashi Feng,
Shuicheng Yan, Xinchao Wang<br />
TPAMI & CVPR, 2023,
<a href="https://arxiv.org/abs/2111.11418#:~:text=Based%20on%20the%20extensive%20experiments,on%20the%20token%20mixer%20modules">[Axriv]</a>
<a href="https://github.com/sail-sg/poolformer">[Code]</a>, 600+ citations,
<a href="https://arxiv.org/abs/2111.11418#:~:text=Based%20on%20the%20extensive%20experiments,on%20the%20token%20mixer%20modules" style="color: black;">[Axriv]</a>
<a href="https://github.com/sail-sg/poolformer" style="color: black;">[Code]</a>, 600+ citations,
<iframe
style="margin-left: 2px; margin-bottom:-5px;"
frameborder="0" scrolling="0" width="91px" height="20px"
Expand All @@ -176,8 +176,8 @@ TPAMI & CVPR, 2023,
<li ><p>
<strong>Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models</strong><br />
Xingyu Xie<strong><sup>*</sup></strong>, <strong>Pan Zhou</strong><strong><sup>*</sup></strong>, Huan Li, Zhouchen Lin, Shuicheng Yan <br />
<a href="https://arxiv.org/abs/2208.06677">[PDF]</a>
<a href="https://github.com/sail-sg/Adan">[Code]</a>
<a href="https://arxiv.org/abs/2208.06677" style="color: black;">[PDF]</a>
<a href="https://github.com/sail-sg/Adan" style="color: black;">[Code]</a>
<iframe
style="margin-left: 2px; margin-bottom:-5px;"
frameborder="0" scrolling="0" width="91px" height="20px"
Expand All @@ -193,9 +193,9 @@ Xingyu Xie<strong><sup>*</sup></strong>, <strong>Pan Zhou</strong><strong><sup>*
<strong>Pan Zhou</strong>, Xingyu Xie, Zhouchen Lin, Kim-Chuan Toh, Shuicheng Yan <br />
JMLR & ICLR, 2024
<!-- <a href="../assets/pdf/2024-JMLR-win.pdf">[PDF]</a> -->
<a href="https://github.com/sail-sg/win">[Code]</a>
<a href="https://github.com/sail-sg/win" style="color: black;">[Code]</a>
<iframe
style="margin-left: 2px; margin-bottom:-5px;"
style="margin-left: 2px; margin-bottom:-5px; color: black;"
frameborder="0" scrolling="0" width="91px" height="20px"
src="https://ghbtns.com/github-btn.html?user=sail-sg&repo=win&type=star&count=true" >
</iframe><br />
Expand All @@ -208,13 +208,13 @@ JMLR & ICLR, 2024
<strong>Towards Theoretically Understanding Why SGD Generalizes Better Than ADAM in Deep Learning</strong><br />
<strong>Pan Zhou</strong>, Jiashi Feng, Chao Ma, Caiming Xiong, Steven Hoi, and Weinan E<br />
NeurIPS, 2020,
<a href="../assets/pdf/2020_generalization.pdf">[PDF]</a>
<a href="../assets/pdf/2020_generalization_supp.pdf">[SUPP]</a>
<a href="https://arxiv.org/pdf/2010.05627.pdf">[Axriv]</a>
<a href="../assets/bibtex/2020_generalization_bib.txt">[Bibtex]</a>
<a href="https://github.com/salesforce/comparison_SGD_ADAM">[Code]</a>
<a href="../assets/pdf/2020-NIPS-SGD-slides.pdf">[Slides]</a>
<a href="../assets/pdf/2020-NIPS-SGD-poster.pdf">[Poster]</a>, 200+ citations
<a href="../assets/pdf/2020_generalization.pdf" style="color: black;">[PDF]</a>
<a href="../assets/pdf/2020_generalization_supp.pdf" style="color: black;">[SUPP]</a>
<a href="https://arxiv.org/pdf/2010.05627.pdf" style="color: black;">[Axriv]</a>
<a href="../assets/bibtex/2020_generalization_bib.txt" style="color: black;">[Bibtex]</a>
<a href="https://github.com/salesforce/comparison_SGD_ADAM" style="color: black;">[Code]</a>
<a href="../assets/pdf/2020-NIPS-SGD-slides.pdf" style="color: black;">[Slides]</a>
<a href="../assets/pdf/2020-NIPS-SGD-poster.pdf" style="color: black;">[Poster]</a>, 200+ citations
<!-- <iframe
style="margin-left: 2px; margin-bottom:-5px;"
frameborder="0" scrolling="0" width="91px" height="20px"
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