110 citations · 145 across the 25 of their papers we have counts for
5 papers · 1 filter
Learning under Label Proportions for Text Classification
Jatin Chauhan, Xiaoxuan Wang, Wei Wang
We present one of the preliminary NLP works under the challenging setup of Learning from Label Proportions (LLP), where the data is provided in an aggregate form called bags and on…
Refining the Optimization Target for Automatic Univariate Time Series Anomaly Detection in Monitoring Services
Manqing Dong, Zhanxiang Zhao, Yitong Geng +3
Time series anomaly detection is crucial for industrial monitoring services that handle a large volume of data, aiming to ensure reliability and optimize system performance. Existi…
Bi-Level Attention Graph Neural Networks
Roshni G. Iyer, Wei Wang, Yizhou Sun
Recent graph neural networks (GNNs) with the attention mechanism have historically been limited to small-scale homogeneous graphs (HoGs). However, GNNs handling heterogeneous graph…
Scalable K-FAC Training for Deep Neural Networks with Distributed Preconditioning
Lin Zhang, Shaohuai Shi, Wei Wang +1
The second-order optimization methods, notably the D-KFAC (Distributed Kronecker Factored Approximate Curvature) algorithms, have gained traction on accelerating deep neural networ…
Reinforcement Learning Based Query Vertex Ordering Model for Subgraph Matching
Hanchen Wang, Ying Zhang, Lu Qin +3
Subgraph matching is a fundamental problem in various fields that use graph structured data. Subgraph matching algorithms enumerate all isomorphic embeddings of a query graph q in…