Papers
Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing
Jill-Jenn Vie, Hisashi Kashima
Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons
Byeongho Heo, Minsik Lee, Sangdoo Yun et al.
KVQA: Knowledge-Aware Visual Question Answering
Sanket Shah, Anand Mishra, Naganand Yadati et al.
Label Embedding with Partial Heterogeneous Contexts
Yaxin Shi, Donna Xu, Yuangang Pan et al.
LabelForest: Non-Parametric Semi-Supervised Learning for Activity Recognition
Yuchao Ma, Hassan Ghasemzadeh
Labor Division with Movable Walls: Composing Executable Specifications with Machine Learning and Search (Blue Sky Idea)
David Harel, Assaf Marron, Ariel Rosenfeld et al.
Large-Scale Heterogeneous Feature Embedding
Xiao Huang, Qingquan Song, Fan Yang et al.
Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient
Haokun Chen, Xinyi Dai, Han Cai et al.
Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games
Chun Kai Ling, Fei Fang, J. Zico Kolter
Large Scale Personalized Categorization of Financial Transactions
Christopher Lesner, Alexander Ran, Marko Rukonic et al.
Large-Scale Visual Relationship Understanding
Ji Zhang, Yannis Kalantidis, Marcus Rohrbach et al.
Latent Dirichlet Allocation for Internet Price War
Chenchen Li, Xiang Yan, Xiaotie Deng et al.
Latent Multi-Task Architecture Learning
Sebastian Ruder, Joachim Bingel, Isabelle Augenstein et al.
Lattice CNNs for Matching Based Chinese Question Answering
Yuxuan Lai, Yansong Feng, Xiaohan Yu et al.
Learning Adaptive Random Features
Yanjun Li, Kai Zhang, Jun Wang et al.
Learning a Deep Convolutional Network for Colorization in Monochrome-Color Dual-Lens System
Xuan Dong, Weixin Li, Xiaojie Wang et al.
Learning a Key-Value Memory Co-Attention Matching Network for Person Re-Identification
Yaqing Zhang, Xi Li, Zhongfei Zhang
Learning and the Unknown: Surveying Steps toward Open World Recognition
T. E. Boult, S. Cruz, A.R. Dhamija et al.
Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing
Hanzhang Hu, Debadeepta Dey, Martial Hebert et al.
Learning Attribute-Specific Representations for Visual Tracking
Yuankai Qi, Shengping Zhang, Weigang Zhang et al.
Learning a Visual Tracker from a Single Movie without Annotation
Lingxiao Yang, David Zhang, Lei Zhang
Learning Basis Representation to Refine 3D Human Pose Estimations
Chunyu Wang, Haibo Qiu, Alan L. Yuille et al.
Learning Compact Model for Large-Scale Multi-Label Data
Tong Wei, Yu-Feng Li
Learning Competitive and Discriminative Reconstructions for Anomaly Detection
Kai Tian, Shuigeng Zhou, Jianping Fan et al.
Learning Deviation Payoffs in Simulation-Based Games
Samuel Sokota, Caleb Ho, Bryce Wiedenbeck