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Workshop
HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing
Tianlong Chen · Chengyue Gong · Daniel Diaz · Xuxi Chen · Jordan Wells · Qiang Liu · Zhangyang Wang · Andrew Ellington · Alex Dimakis · Adam Klivans
Workshop
Structure-Inducing Pre-training
TestMatt TestMcDermott · Brendan Yap · Peter Szolovits · Marinka Zitnik
Workshop
Fri 9:15 Carsten Binnig - Pre-trained Models for Learned DBMS Components
Carsten Binnig
Workshop
Fri 12:59 Gradient Knowledge Distillation for Pre-trained Language Models
Lean Wang · Lei Li · Xu Sun
Workshop
Forgetting Data from Pre-trained GANs
Zhifeng Kong · Kamalika Chaudhuri
Workshop
Gradient Knowledge Distillation for Pre-trained Language Models
Lean Wang · Lei Li · Xu Sun
Poster
Wed 9:00 Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively
Haojie Zhang · Ge Li · Jia Li · Zhongjin Zhang · YUQI ZHU · Zhi Jin
Poster
Thu 9:00 Towards Efficient Post-training Quantization of Pre-trained Language Models
Haoli Bai · Lu Hou · Lifeng Shang · Xin Jiang · Irwin King · Michael R Lyu
Poster
Sparse Structure Search for Delta Tuning
Shengding Hu · Zhen Zhang · Ning Ding · Yadao Wang · Yasheng Wang · Zhiyuan Liu · Maosong Sun
Poster
P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting
Ziyi Wang · Xumin Yu · Yongming Rao · Jie Zhou · Jiwen Lu
Workshop
HyperBO+: Pre-training a universal hierarchical Gaussian process prior for Bayesian optimization
Zhou Fan · Xinran Han · Zi Wang
Workshop
Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning
John Nguyen · Jianyu Wang · Kshitiz Malik · Maziar Sanjabi · Mike Rabbat