Aochuan Chen

PhD Student at Michigan State University.
Scalable and Trustworthy AI

[Aochuan Chen @Arthur77Chen]

📢We're thrilled to present our #CVPR23 work during the poster session #253 Thu morning. Come and see the interpretability and advancement in visual prompting! @sijialiu17 @OptML_MSU @pinyuchenTW @MITIBMLab

[Aochuan Chen @Arthur77Chen]

What is the challenge of (visual) prompting (a kind of parameter-efficient fine-tuning) in the vision domain? Our new #CVPR23 paper "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" makes an effort to resolve the existing label mapping issue.

[Damon Zhang @damon19950223]

📢We're thrilled to present our #CVPR23 work during the poster session #233 Wed afternoon. Curious about how to enhance 2D temporal video grounding performance? Discover the power of text-visual prompting! 🚀 Project page: https://t.co/j1sUrSyp0e. @sijialiu17 @OptML_MSU @IntelAI

[Yihua Zhang @zyh2022]

A special shoutout to our amazing collaborators Pranay Sharma, Parikshit Ram, Mingyi Hong, @krvarshney and @sijialiu17 for their invaluable contributions and to the support from @MITIBMLab @IBMResearch. Looking forward to exploring more frontiers together! #ICLR2023

[Aochuan Chen @Arthur77Chen]

We gain the "surprise" in both the accuracy and interpretability of VP in our #CVPR2023 work!

Website: https://t.co/KQlk3ueQMT
Paper: https://t.co/1NjDTLDj9D
Code: https://t.co/lfmAHtPLfg

[Aochuan Chen @Arthur77Chen]

What is the challenge of (visual) prompting (a kind of parameter-efficient fine-tuning) in the vision domain? Our new #CVPR23 paper "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" makes an effort to resolve the existing label mapping issue.

[sijia.liu @sijialiu17]

[#aaai2023] Interested in bi-level optimization (BLO) and its applications to ML? Feel free to join our BLO tutorial (Room 206, 2-6pm, Feb. 7th), with Mingyi Hong and @zyh2022 This Thursday, I will also give a new faculty highlights talk on Robust ML. Feel free to join!

[Haohan Wang @HaohanWang]

We will have our next @trustworthy_ml reading at noon Sept. 15 EST of the ICLR spotlight paper on "How to Robustify Black-Box ML Models?" from @damon19950223 @yao_yuguang @jia_jinghan @CodeTerminator and @sijialiu17
please register if interested: https://t.co/bGYyfNMrMV