Papers
Learning Latent Forests for Medical Relation Extraction
Zhijiang Guo, Guoshun Nan, Wei LU et al.
Learning Model with Error -- Exposing the Hidden Model of BAYHENN
Harry W. H. Wong, Jack P. K. Ma, Donald P. H. Wong et al.
Learning Neural-Symbolic Descriptive Planning Models via Cube-Space Priors: The Voyage Home (to STRIPS)
Masataro Asai, Christian Muise
Learning Optimal Decision Trees using Constraint Programming (Extended Abstract)
Hélène Verhaeghe, Siegfried Nijssen, Gilles Pesant et al.
Learning Optimal Decision Trees with MaxSAT and its Integration in AdaBoost
Hao Hu, Mohamed Siala, Emmanuel Hebrard et al.
Learning Optimal Temperature Region for Solving Mixed Integer Functional DCOPs
Saaduddin Mahmud, Md. Mosaddek Khan, Moumita Choudhury et al.
Learning Personalized Itemset Mapping for Cross-Domain Recommendation
Yinan Zhang, Yong Liu, Peng Han et al.
Learning Regional Attention Convolutional Neural Network for Motion Intention Recognition Based on EEG Data
Zhijie Fang, Weiqun Wang, Shixin Ren et al.
Learning Sensitivity of RCPSP by Analyzing the Search Process
Marc-André Ménard, Claude-Guy Quimper, Jonathan Gaudreault
Learning Task-aware Local Representations for Few-shot Learning
Chuanqi Dong, Wenbin Li, Jing Huo et al.
Learning the Compositional Visual Coherence for Complementary Recommendations
Zhi Li, Bo Wu, Qi Liu et al.
Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising
Xiaotian Hao, Junqi Jin, Jianye Hao et al.
Learning to Complement Humans
Bryan Wilder, Eric Horvitz, Ece Kamar
Learning to Discretely Compose Reasoning Module Networks for Video Captioning
Ganchao Tan, Daqing Liu, Meng Wang et al.
Learning URI Selection Criteria to Improve the Crawling of Linked Open Data (Extended Abstract)
Hai Huang, Fabien Gandon
Learning with Labeled and Unlabeled Multi-Step Transition Data for Recovering Markov Chain from Incomplete Transition Data
Masahiro Kohjima, Takeshi Kurashima, Hiroyuki Toda
Learning with Noise: Improving Distantly-Supervised Fine-grained Entity Typing via Automatic Relabeling
Haoyu Zhang, Dingkun Long, Guangwei Xu et al.
Learning With Subquadratic Regularization : A Primal-Dual Approach
Raman Sankaran, Francis Bach, Chiranjib Bhattacharyya
Leveraging Document-Level Label Consistency for Named Entity Recognition
Tao Gui, Jiacheng Ye, Qi Zhang et al.
Lexical-Constraint-Aware Neural Machine Translation via Data Augmentation
Guanhua Chen, Yun Chen, Yong Wang et al.
Lifelong Zero-Shot Learning
Kun Wei, Cheng Deng, Xu Yang
Lifted Hybrid Variational Inference
Yuqiao Chen, Yibo Yang, Sriraam Natarajan et al.
LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recognition
Xiang Cheng, Yunzhe Hao, Jiaming Xu et al.
Location Prediction over Sparse User Mobility Traces Using RNNs: Flashback in Hidden States!
Dingqi Yang, Benjamin Fankhauser, Paolo Rosso et al.