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Poster
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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
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Workshop
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Fri 9:15
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Carsten Binnig - Pre-trained Models for Learned DBMS Components
Carsten Binnig
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Poster
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Wed 9:00
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Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively
Haojie Zhang · Ge Li · Jia Li · Zhongjin Zhang · YUQI ZHU · Zhi Jin
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Workshop
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Forgetting Data from Pre-trained GANs
Zhifeng Kong · Kamalika Chaudhuri
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Workshop
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Gradient Knowledge Distillation for Pre-trained Language Models
Lean Wang · Lei Li · Xu Sun
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Workshop
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Fri 12:59
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Gradient Knowledge Distillation for Pre-trained Language Models
Lean Wang · Lei Li · Xu Sun
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Poster
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Thu 9:00
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Towards Efficient Post-training Quantization of Pre-trained Language Models
Haoli Bai · Lu Hou · Lifeng Shang · Xin Jiang · Irwin King · Michael R Lyu
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Poster
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Thu 9:00
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Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training
Renrui Zhang · Ziyu Guo · Peng Gao · Rongyao Fang · Bin Zhao · Dong Wang · Yu Qiao · Hongsheng Li
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Workshop
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Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning
John Nguyen · Jianyu Wang · Kshitiz Malik · Maziar Sanjabi · Mike Rabbat
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Workshop
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Graph Masking Pre-training for Graph-to-Text Generation
Jiuzhou Han · Ehsan Shareghi
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Workshop
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HyperBO+: Pre-training a universal hierarchical Gaussian process prior for Bayesian optimization
Zhou Fan · Xinran Han · Zi Wang
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Workshop
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Efficient Speech Translation with Pre-trained models
Zhaolin Li · Jan Niehues
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