Papers
Learning Multi-level Region Consistency with Dense Multi-label Networks for Semantic Segmentation
Tong Shen, Guosheng Lin, Chunhua Shen et al.
Learning Sentence Representation with Guidance of Human Attention
Shaonan Wang, Jiajun Zhang, Chengqing Zong
Learning Sparse Representations in Reinforcement Learning with Sparse Coding
Lei Le, Raksha Kumaraswamy, Martha White
Learning to Explain Entity Relationships by Pairwise Ranking with Convolutional Neural Networks
Jizhou Huang, Wei Zhang, Shiqi Zhao et al.
Learning to Hallucinate Face Images via Component Generation and Enhancement
Yibing Song, Jiawei Zhang, Shengfeng He et al.
Learning to Identify Ambiguous and Misleading News Headlines
Wei Wei, Xiaojun Wan
Learning to Learn Programs from Examples: Going Beyond Program Structure
Kevin Ellis, Sumit Gulwani
Learning to Read Irregular Text with Attention Mechanisms
Xiao Yang, Dafang He, Zihan Zhou et al.
Learning to Run Heuristics in Tree Search
Elias B. Khalil, Bistra Dilkina, George L. Nemhauser et al.
Learning User Dependencies for Recommendation
Yong Liu, Peilin Zhao, Xin Liu et al.
Learning User's Intrinsic and Extrinsic Interests for Point-of-Interest Recommendation: A Unified Approach
Huayu Li, Yong Ge, Defu Lian et al.
Learning with Previously Unseen Features
Yuan Shi, Craig A. Knoblock
Lessons from the Amazon Picking Challenge: Four Aspects of Building Robotic Systems
Clemens Eppner, Sebastian Höfer, Rico Jonschkowski et al.
Leveraging Human Knowledge in Tabular Reinforcement Learning: A Study of Human Subjects
Ariel Rosenfeld, Matthew E. Taylor, Sarit Kraus
Lexical Sememe Prediction via Word Embeddings and Matrix Factorization
Ruobing Xie, Xingchi Yuan, Zhiyuan Liu et al.
Lexicons on Demand: Neural Word Embeddings for Large-Scale Text Analysis
Ethan Fast, Binbin Chen, Michael S. Bernstein
Libratus: The Superhuman AI for No-Limit Poker
Noam Brown, Tuomas Sandholm
Life-Stage Modeling by Customer-Manifold Embedding
Jing-Wen Yang, Yang Yu, Xiao-Peng Zhang
Limbo: A Reasoning System for Limited Belief
Christoph Schwering
Linear Manifold Regularization with Adaptive Graph for Semi-supervised Dimensionality Reduction
Kai Xiong, Feiping Nie, Junwei Han
Link Prediction via Ranking Metric Dual-Level Attention Network Learning
Zhou Zhao, Ben Gao, Vincent W. Zheng et al.
Link Prediction with Spatial and Temporal Consistency in Dynamic Networks
Wenchao Yu, Wei Cheng, Charu C Aggarwal et al.
LMPP: A Large Margin Point Process Combining Reinforcement and Competition for Modeling Hashtag Popularity
Bidisha Samanta, Abir De, Abhijnan Chakraborty et al.
Locality Adaptive Discriminant Analysis
Xuelong Li, Mulin Chen, Feiping Nie et al.
Locality Constrained Deep Supervised Hashing for Image Retrieval
Hao Zhu, Shenghua Gao