41 citations · 177 across the 21 of their papers we have counts for
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cs.LG2021★ 41 cited
Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty Quantification
Youngseog Chung, Ian Char, Han Guo +2
With increasing deployment of machine learning systems in various real-world tasks, there is a greater need for accurate quantification of predictive uncertainty. While the common…
cs.CL2021★ 14 cited
Efficient (Soft) Q-Learning for Text Generation with Limited Good Data
Han Guo, Bowen Tan, Zhengzhong Liu +2
Maximum likelihood estimation (MLE) is the predominant algorithm for training text generation models. This paradigm relies on direct supervision examples, which is not applicable t…
cs.LG2021★ 11 cited
CPT: Efficient Deep Neural Network Training via Cyclic Precision
Yonggan Fu, Han Guo, Meng Li +4
Low-precision deep neural network (DNN) training has gained tremendous attention as reducing precision is one of the most effective knobs for boosting DNNs' training time/energy ef…