Papers
JUMP: a Jointly Predictor for User Click and Dwell Time
Tengfei Zhou, Hui Qian, Zebang Shen et al.
Jumper: Learning When to Make Classification Decision in Reading
Xianggen Liu, Lili Mou, Haotian Cui et al.
Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition
Tianshui Chen, Liang Lin, Riquan Chen et al.
Knowledge-Guided Agent-Tactic-Aware Learning for StarCraft Micromanagement
Yue Hu, Juntao Li, Xi Li et al.
Label Embedding Based on Multi-Scale Locality Preservation
Cheng-Lun Peng, An Tao, Xin Geng
Label Enhancement for Label Distribution Learning
Ning Xu, An Tao, Xin Geng
Label-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning
Xiao Zhang, Wenzhong Li, Vu Nguyen et al.
Language to Action: Towards Interactive Task Learning with Physical Agents
Joyce Y. Chai, Qiaozi Gao, Lanbo She et al.
Layered Optical Flow Estimation Using a Deep Neural Network with a Soft Mask
Xi Zhang, Di Ma, Xu Ouyang et al.
LC-RNN: A Deep Learning Model for Traffic Speed Prediction
Zhongjian Lv, Jiajie Xu, Kai Zheng et al.
Leadership in Singleton Congestion Games
Alberto Marchesi, Stefano Coniglio, Nicola Gatti
Learning and Communicating the Latent States of Human-Machine Collaboration
Vaibhav V. Unhelkar, Julie A. Shah
Learning Conceptual Space Representations of Interrelated Concepts
Zied Bouraoui, Steven Schockaert
Learning Continuous Time Bayesian Networks in Non-stationary Domains
Simone Villa, Fabio Stella
Learning Deep Unsupervised Binary Codes for Image Retrieval
Junjie Chen, William K. Cheung, Anran Wang
Learning Environmental Calibration Actions for Policy Self-Evolution
Chao Zhang, Yang Yu, Zhi-Hua Zhou
Learning Explanatory Rules from Noisy Data (Extended Abstract)
Richard Evans, Edward Grefenstette
Learning Optimal Decision Trees with SAT
Nina Narodytska, Alexey Ignatiev, Filipe Pereira et al.
Learning Out-of-Vocabulary Words in Intelligent Personal Agents
Avik Ray, Yilin Shen, Hongxia Jin
Learning Portable Symbolic Representations
Steven James
Learning Robust Gaussian Process Regression for Visual Tracking
Linyu Zheng, Ming Tang, Jinqiao Wang
Learning Sequential Correlation for User Generated Textual Content Popularity Prediction
Wen Wang, Wei Zhang, Jun Wang et al.
Learning SMT(LRA) Constraints using SMT Solvers
Samuel Kolb, Stefano Teso, Andrea Passerini et al.
Learning Tag Dependencies for Sequence Tagging
Yuan Zhang, Hongshen Chen, Yihong Zhao et al.