Optimization and Trustworthy Machine Learning (OPTML) @ MSU
Director: Dr. Sijia Liu
Direction: optimization theory, trustworthy and scalable machine learning
📢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
💡Excited for a deep dive into the remarkable synergy of text-visual prompting enhancing 2D temporal video grounding 🖼️, presented by @damon19950223@sijialiu17@IntelAI See you tomorrow afternoon at session #233!
📢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
🚀Unveil & tackle IRM challenges at #ICLR2023! We address long-overlooked challenges in IRM training and evaluation & unlock IRM with the consensus-constrained bi-level optimization! Don't miss our poster session📌MH1-2-3-4 #20, Wed, 4:30-6:30 pm CAT🌟 https://t.co/ZYmglqHp2H
Is 5-min slideslive video too short to know our work? Check out this video (https://t.co/G0r7Na0jjh) and find more details on our Bi-Level Pruning algorithm! #NeurIPS2022
Paper: https://t.co/RVBA3y0ABV
Code: https://t.co/j5rbKxmuPF
Look forward to meeting you in New Orleans.
Excited to share our work accepted by #NeurIPS2022@NeurIPSConf! This is an amazing attempt to advance pruning through bi-level optimization with 2~7× speedup over IMP for the same level of model accuracy and sparsity.
Paper: https://t.co/pyZgvk8Twr
Code: https://t.co/j5rbKxDxRF
So happy to receive the NeurIPS 2022 Scholar Award and Top Reviewer! Thanks for the acknowledgement from @NeurIPSConf, which would be a great encouragement to my research.
Look forward to seeing you in New Orleans and I will share two papers at the poster session!
#NeurIPS2022