1.2k citations · 2.1k across the 35 of their papers we have counts for
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Fully Parameterized Quantile Function for Distributional Reinforcement Learning
Derek Yang, Li Zhao, Zichuan Lin +3
Distributional Reinforcement Learning (RL) differs from traditional RL in that, rather than the expectation of total returns, it estimates distributions and has achieved state-of-t…
Self-paced Ensemble for Highly Imbalanced Massive Data Classification
Zhining Liu, Wei Cao, Zhifeng Gao +4
Many real-world applications reveal difficulties in learning classifiers from imbalanced data. The rising big data era has been witnessing more classification tasks with large-scal…
LightMC: A Dynamic and Efficient Multiclass Decomposition Algorithm
Ziyu Liu, Guolin Ke, Jiang Bian +1
Multiclass decomposition splits a multiclass classification problem into a series of independent binary learners and recomposes them by combining their outputs to reconstruct the m…
Light Multi-segment Activation for Model Compression
Zhenhui Xu, Guolin Ke, Jia Zhang +2
Model compression has become necessary when applying neural networks (NN) into many real application tasks that can accept slightly-reduced model accuracy with strict tolerance to…
Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction
Shun Zheng, Wei Cao, Wei Xu +1
Most existing event extraction (EE) methods merely extract event arguments within the sentence scope. However, such sentence-level EE methods struggle to handle soaring amounts of…
A Cooperative Multi-Agent Reinforcement Learning Framework for Resource Balancing in Complex Logistics Network
Xihan Li, Jia Zhang, Jiang Bian +2
Resource balancing within complex transportation networks is one of the most important problems in real logistics domain. Traditional solutions on these problems leverage combinato…