18 citations · 20 across the 2 of their papers we have counts for
5 papers
Parameter and Data Efficient Continual Pre-training for Robustness to Dialectal Variance in Arabic
Soumajyoti Sarkar, Kaixiang Lin, Sailik Sengupta +3
The use of multilingual language models for tasks in low and high-resource languages has been a success story in deep learning. In recent times, Arabic has been receiving widesprea…
Ranking Policy Gradient
Kaixiang Lin, Jiayu Zhou
Sample inefficiency is a long-lasting problem in reinforcement learning (RL). The state-of-the-art estimates the optimal action values while it usually involves an extensive search…
Differentially Private Generative Adversarial Network
Liyang Xie, Kaixiang Lin, Shu Wang +2
Generative Adversarial Network (GAN) and its variants have recently attracted intensive research interests due to their elegant theoretical foundation and excellent empirical perfo…
Improving Mild Cognitive Impairment Prediction via Reinforcement Learning and Dialogue Simulation
Fengyi Tang, Kaixiang Lin, Ikechukwu Uchendu +2
Mild cognitive impairment (MCI) is a prodromal phase in the progression from normal aging to dementia, especially Alzheimers disease. Even though there is mild cognitive decline in…
Collaborative Deep Reinforcement Learning
Kaixiang Lin, Shu Wang, Jiayu Zhou
Besides independent learning, human learning process is highly improved by summarizing what has been learned, communicating it with peers, and subsequently fusing knowledge from di…