Papers
Efficient and Accurate Learning of Mixtures of Plackett-Luce Models
Duc Nguyen, Anderson Y. Zhang
Efficient Answer Enumeration in Description Logics with Functional Roles
Carsten Lutz, Marcin Przybyłko
Efficient Distributed Inference of Deep Neural Networks via Restructuring and Pruning
Afshin Abdi, Saeed Rashidi, Faramarz Fekri et al.
Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles between Client Data Subspaces
Saeed Vahidian, Mahdi Morafah, Weijia Wang et al.
Efficient Dynamic Batch Adaptation (Student Abstract)
Cristian Simionescu, George Stoica
Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation
Wanjuan Su, Wenbing Tao
Efficient Embeddings of Logical Variables for Query Answering over Incomplete Knowledge Graphs
Dingmin Wang, Yeyuan Chen, Bernardo Cuenca Grau
Efficient End-to-End Video Question Answering with Pyramidal Multimodal Transformer
Min Peng, Chongyang Wang, Yu Shi et al.
Efficient Enumeration of Markov Equivalent DAGs
Marcel Wienöbst, Malte Luttermann, Max Bannach et al.
Efficient Exploration in Resource-Restricted Reinforcement Learning
Zhihai Wang, Taoxing Pan, Qi Zhou et al.
Efficient Explorative Key-Term Selection Strategies for Conversational Contextual Bandits
Zhiyong Wang, Xutong Liu, Shuai Li et al.
Efficient Extraction of EL-Ontology Deductive Modules
Hui Yang, Yue Ma, Nicole Bidoit
Efficient Gradient Approximation Method for Constrained Bilevel Optimization
Siyuan Xu, Minghui Zhu
Efficient Image Captioning for Edge Devices
Ning Wang, Jiangrong Xie, Hang Luo et al.
Efficient Mirror Detection via Multi-Level Heterogeneous Learning
Ruozhen He, Jiaying Lin, Rynson W.H. Lau
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.