6 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.CL2022
Prototypical Fine-tuning: Towards Robust Performance Under Varying Data Sizes
Yiqiao Jin, Xiting Wang, Yaru Hao +2
In this paper, we move towards combining large parametric models with non-parametric prototypical networks. We propose prototypical fine-tuning, a novel prototypical framework for…
cs.AI2022★ 6 cited
Self-explaining deep models with logic rule reasoning
Seungeon Lee, Xiting Wang, Sungwon Han +3
We present SELOR, a framework for integrating self-explaining capabilities into a given deep model to achieve both high prediction performance and human precision. By "human precis…
math.OC2020★ 1 cited
Analysis of Q-learning with Adaptation and Momentum Restart for Gradient Descent
Bowen Weng, Huaqing Xiong, Yingbin Liang +1
Existing convergence analyses of Q-learning mostly focus on the vanilla stochastic gradient descent (SGD) type of updates. Despite the Adaptive Moment Estimation (Adam) has been co…