Papers
Early-Stopping of Scattering Pattern Observation with Bayesian Modeling
Akinori Asahara, Hidekazu Morita, Chiharu Mitsumata et al.
Efficient and Effective Incomplete Multi-View Clustering
Xinwang Liu, Xinzhong Zhu, Miaomiao Li et al.
Efficient and Scalable Multi-Task Regression on Massive Number of Tasks
Xiao He, Francesco Alesiani, Ammar Shaker
Efficient Concept Induction for Description Logics
Md Kamruzzaman Sarker, Pascal Hitzler
Efficient Counterfactual Learning from Bandit Feedback
Yusuke Narita, Shota Yasui, Kohei Yata
Efficient Data Point Pruning for One-Class SVM
Yasuhiro Fujiwara, Sekitoshi Kanai, Junya Arai et al.
Efficient Gaussian Process Classification Using Pólya-Gamma Data Augmentation
Florian Wenzel, Théo Galy-Fajou, Christan Donner et al.
Efficient Identification of Approximate Best Configuration of Training in Large Datasets
Silu Huang, Chi Wang, Bolin Ding et al.
Efficient Image Retrieval via Decoupling Diffusion into Online and Offline Processing
Fan Yang, Ryota Hinami, Yusuke Matsui et al.
Efficiently Combining Human Demonstrations and Interventions for Safe Training of Autonomous Systems in Real-Time
Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern et al.
Efficiently Reasoning with Interval Constraints in Forward Search Planning
Amanda Coles, Andrew Coles, Moises Martinez et al.
Efficient Neutrino Oscillation Parameter Inference with Gaussian Process
Lingge Li, Nitish Nayak, Jianming Bian et al.
Efficient Online Learning for Mapping Kernels on Linguistic Structures
Giovanni Da San Martino, Alessandro Sperduti, Fabio Aiolli et al.
Efficient Quantization for Neural Networks with Binary Weights and Low Bitwidth Activations
Kun Huang, Bingbing Ni, Xiaokang Yang
Efficient Region Embedding with Multi-View Spatial Networks: A Perspective of Locality-Constrained Spatial Autocorrelations
Yanjie Fu, Pengyang Wang, Jiadi Du et al.
Efficient Solving of Birds of a Feather Puzzles
Todd W. Neller, Connor Berson, Jivan Kharel et al.
Efficient Temporal Planning Using Metastates
Amanda Coles, Andrew Coles, J. Christopher Beck
Election with Bribed Voter Uncertainty: Hardness and Approximation Algorithm
Lin Chen, Lei Xu, Shouhuai Xu et al.
Eliminating Latent Discrimination: Train Then Mask
Soheil Ghili, Ehsan Kazemi, Amin Karbasi
Embedding-Based Complex Feature Value Coupling Learning for Detecting Outliers in Non-IID Categorical Data
Hongzuo Xu, Yongjun Wang, Zhiyue Wu et al.
Embedding Uncertain Knowledge Graphs
Xuelu Chen, Muhao Chen, Weijia Shi et al.
Emergency Department Online Patient-Caregiver Scheduling
Hanan Rosemarin, Ariel Rosenfeld, Sarit Kraus
End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis
Lin Xu, Qixian Zhou, Ke Gong et al.
End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks
Richard Cheng, Gábor Orosz, Richard M. Murray et al.