Papers
20,003 papers found
Learning Heterogeneous Spatial-Temporal Representation for Bike-Sharing Demand Prediction
Youru Li, Zhenfeng Zhu, Deqiang Kong et al.
Learning How to Ground a Plan – Partial Grounding in Classical Planning
Daniel Gnad, Álvaro Torralba, Martín Domínguez et al.
Learning Incremental Triplet Margin for Person Re-Identification
Yingying Zhang, Qiaoyong Zhong, Liang Ma et al.
Learning Logistic Circuits
Yitao Liang, Guy Van den Broeck
Learning Models of Sequential Decision-Making with Partial Specification of Agent Behavior
Vaibhav V. Unhelkar, Julie A. Shah
Learning Multi-Task Communication with Message Passing for Sequence Learning
Pengfei Liu, Jie Fu, Yue Dong et al.
Learning Neural Bag-of-Matrix-Summarization with Riemannian Network
Hong Liu, Jie Li, Yongjian Wu et al.
Learning Non-Uniform Hypergraph for Multi-Object Tracking
Longyin Wen, Dawei Du, Shengkun Li et al.
Learning Object Context for Dense Captioning
Xiangyang Li, Shuqiang Jiang, Jungong Han
Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making
Sina Aghaei, Mohammad Javad Azizi, Phebe Vayanos
Learning Optimal Classification Trees Using a Binary Linear Program Formulation
Sicco Verwer, Yingqian Zhang
Learning Optimal Strategies to Commit To
Binghui Peng, Weiran Shen, Pingzhong Tang et al.
Learning Options with Interest Functions
Khimya Khetarpal, Doina Precup
Learning Personalized Attribute Preference via Multi-Task AUC Optimization
Zhiyong Yang, Qianqian Xu, Xiaochun Cao et al.
Learning Personalized End-to-End Goal-Oriented Dialog
Liangchen Luo, Wenhao Huang, Qi Zeng et al.
Learning Phenotypes and Dynamic Patient Representations via RNN Regularized Collective Non-Negative Tensor Factorization
Kejing Yin, Dong Qian, William K. Cheung et al.
Learning Plackett-Luce Mixtures from Partial Preferences
Ao Liu, Zhibing Zhao, Chao Liao et al.
Learning Representations in Model-Free Hierarchical Reinforcement Learning
Jacob Rafati, David C. Noelle
Learning Resolution-Invariant Deep Representations for Person Re-Identification
Yun-Chun Chen, Yu-Jhe Li, Xiaofei Du et al.
Learning Resource Allocation and Pricing for Cloud Profit Maximization
Bingqian Du, Chuan Wu, Zhiyi Huang
Learning Segmentation Masks with the Independence Prior
Songmin Dai, Xiaoqiang Li, Lu Wang et al.
Learning Semantic Representations for Novel Words: Leveraging Both Form and Context
Timo Schick, Hinrich Schütze
Learning Set Functions with Limited Complementarity
Hanrui Zhang
Learning to Adaptively Scale Recurrent Neural Networks
Hao Hu, Liqiang Wang, Guo-Jun Qi