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cs.CV2022
Active Pointly-Supervised Instance Segmentation
Chufeng Tang, Lingxi Xie, Gang Zhang +3
The requirement of expensive annotations is a major burden for training a well-performed instance segmentation model. In this paper, we present an economic active learning setting,…
cs.CL2022
Bridging the Gap Between Training and Inference of Bayesian Controllable Language Models
Han Liu, Bingning Wang, Ting Yao +3
Large-scale pre-trained language models have achieved great success on natural language generation tasks. However, it is difficult to control the pre-trained language models to gen…