Papers
Learning Diffusions without Timestamps
Hao Huang, Qian Yan, Ting Gan et al.
Learning Disentangled Representation with Pairwise Independence
Zejian Li, Yongchuan Tang, Wei Li et al.
Learning Diverse Bayesian Networks
Cong Chen, Changhe Yuan
Learning Document Embeddings with Crossword Prediction
Junyu Luo, Min Yang, Ying Shen et al.
Learning Dynamic Generator Model by Alternating Back-Propagation through Time
Jianwen Xie, Ruiqi Gao, Zilong Zheng et al.
Learning Features and Abstract Actions for Computing Generalized Plans
Blai Bonet, Guillem Francès, Hector Geffner
Learning Flexible Latent Representations via Encapsulated Variational Encoders
Wenjun Bai, Changqin Quan, Zhi-Wei Luo
Learning (from) Deep Hierarchical Structure among Features
Yu Zhang, Lei Han
Learning from Web Data Using Adversarial Discriminative Neural Networks for Fine-Grained Classification
Xiaoxiao Sun, Liyi Chen, Jufeng Yang
Learning Fully Dense Neural Networks for Image Semantic Segmentation
Mingmin Zhen, Jinglu Wang, Lei Zhou et al.
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.