Papers
Efficient Top-K Feature Selection Using Coordinate Descent Method
Lei Xu, Rong Wang, Feiping Nie et al.
Efficient Training of Large-Scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout
Yuanyuan Chen, Zichen Chen, Sheng Guo et al.
eForecaster: Unifying Electricity Forecasting with Robust, Flexible, and Explainable Machine Learning Algorithms
Zhaoyang Zhu, Weiqi Chen, Rui Xia et al.
EINNs: Epidemiologically-Informed Neural Networks
Alexander Rodríguez, Jiaming Cui, Naren Ramakrishnan et al.
Electrophysiological Brain Source Imaging via Combinatorial Search with Provable Optimality
Guihong Wan, Meng Jiao, Xinglong Ju et al.
Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning
Kaize Ding, Yancheng Wang, Yingzhen Yang et al.
Eliminating the Impossible, Whatever Remains Must Be True: On Extracting and Applying Background Knowledge in the Context of Formal Explanations
Jinqiang Yu, Alexey Ignatiev, Peter J. Stuckey et al.
Embedding a Long Short-Term Memory Network in a Constraint Programming Framework for Tomato Greenhouse Optimisation
Dirk van Bokkem, Max van den Hemel, Sebastijan Dumančić et al.
EMEF: Ensemble Multi-Exposure Image Fusion
Renshuai Liu, Chengyang Li, Haitao Cao et al.
Emergence of Punishment in Social Dilemma with Environmental Feedback
Zhen Wang, Zhao Song, Chen Shen et al.
Emergent Quantized Communication
Boaz Carmeli, Ron Meir, Yonatan Belinkov
Emotion-Aware Music Recommendation
Hieu Tran, Tuan Le, Anh Do et al.
Enabling Knowledge Refinement upon New Concepts in Abductive Learning
Yu-Xuan Huang, Wang-Zhou Dai, Yuan Jiang et al.
End-to-End Deep Reinforcement Learning for Conversation Disentanglement
Karan Bhukar, Harshit Kumar, Dinesh Raghu et al.
End-to-End Entity Linking with Hierarchical Reinforcement Learning
Lihan Chen, Tinghui Zhu, Jingping Liu et al.
End-to-End Learning for Optimization via Constraint-Enforcing Approximators
Rares Cristian, Pavithra Harsha, Georgia Perakis et al.
End-to-End Pipeline for Trigger Detection on Hit and Track Graphs
Tingting Xuan, Yimin Zhu, Giorgian Borca-Tasciuc et al.
End-to-End Zero-Shot HOI Detection via Vision and Language Knowledge Distillation
Mingrui Wu, Jiaxin Gu, Yunhang Shen et al.
Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs
Rui Jiao, Jiaqi Han, Wenbing Huang et al.
Enhanced Multi-Relationships Integration Graph Convolutional Network for Inferring Substitutable and Complementary Items
Huajie Chen, Jiyuan He, Weisheng Xu et al.
Enhanced Tensor Low-Rank and Sparse Representation Recovery for Incomplete Multi-View Clustering
Chao Zhang, Huaxiong Li, Wei Lv et al.
Enhancing Dynamic GCN for Node Attribute Forecasting with Meta Spatial-Temporal Learning (Student Abstract)
Bo Wu, Xun Liang, Xiangping Zheng et al.