92 citations · 252 across the 14 of their papers we have counts for
4 papers · 1 filter
Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation
Chaochao Lu, Biwei Huang, Ke Wang +3
Reinforcement learning (RL) algorithms usually require a substantial amount of interaction data and perform well only for specific tasks in a fixed environment. In some scenarios s…
On the Generalizability of Neural Program Models with respect to Semantic-Preserving Program Transformations
Md Rafiqul Islam Rabin, Nghi D. Q. Bui, Ke Wang +3
With the prevalence of publicly available source code repositories to train deep neural network models, neural program models can do well in source code analysis tasks such as pred…
Time-aware Graph Embedding: A temporal smoothness and task-oriented approach
Yonghui Xu, Shengjie Sun, Yuan Miao +6
Knowledge graph embedding, which aims to learn the low-dimensional representations of entities and relationships, has attracted considerable research efforts recently. However, mos…
Learning Semantic Program Embeddings with Graph Interval Neural Network
Yu Wang, Fengjuan Gao, Linzhang Wang +1
Learning distributed representations of source code has been a challenging task for machine learning models. Earlier works treated programs as text so that natural language methods…