411 citations · 1.6k across the 30 of their papers we have counts for
5 papers · 1 filter
SEAT: Stable and Explainable Attention
Lijie Hu, Yixin Liu, Ninghao Liu +3
Currently, attention mechanism becomes a standard fixture in most state-of-the-art natural language processing (NLP) models, not only due to outstanding performance it could gain,…
Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement Learning
Jifeng Hu, Yanchao Sun, Hechang Chen +4
Multi-agent reinforcement learning has drawn increasing attention in practice, e.g., robotics and automatic driving, as it can explore optimal policies using samples generated by i…
Scalable Adversarial Attack Algorithms on Influence Maximization
Lichao Sun, Xiaobin Rui, Wei Chen
In this paper, we study the adversarial attacks on influence maximization under dynamic influence propagation models in social networks. In particular, given a known seed set S, th…
RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation
Qucheng Peng, Zhengming Ding, Lingjuan Lyu +2
Source-Free domain adaptation transits the source-trained model towards target domain without exposing the source data, trying to dispel these concerns about data privacy and secur…
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs
Kay Liu, Yingtong Dou, Yue Zhao +12
Detecting which nodes in graphs are outliers is a relatively new machine learning task with numerous applications. Despite the proliferation of algorithms developed in recent years…