132 citations · 167 across the 10 of their papers we have counts for
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cs.CL2022
STT: Soft Template Tuning for Few-Shot Adaptation
Ping Yu, Wei Wang, Chunyuan Li +3
Prompt tuning has been an extremely effective tool to adapt a pre-trained model to downstream tasks. However, standard prompt-based methods mainly consider the case of sufficient d…
cs.CV2022
Data Efficient 3D Learner via Knowledge Transferred from 2D Model
Ping-Chung Yu, Cheng Sun, Min Sun
Collecting and labeling the registered 3D point cloud is costly. As a result, 3D resources for training are typically limited in quantity compared to the 2D images counterpart. In…
cs.CL2022
Efficient Language Modeling with Sparse all-MLP
Ping Yu, Mikel Artetxe, Myle Ott +4
All-MLP architectures have attracted increasing interest as an alternative to attention-based models. In NLP, recent work like gMLP shows that all-MLPs can match Transformers in la…