Papers
Self-paced Compensatory Deep Boltzmann Machine for Semi-Structured Document Embedding
Shuangyin Li, Rong Pan, Jun Yan
Online Robust Low-Rank Tensor Learning
Ping Li, Jiashi Feng, Xiaojie Jin et al.
Affinity Learning for Mixed Data Clustering
Nan Li, Longin Jan Latecki
Multi-Stream Deep Similarity Learning Networks for Visual Tracking
Kunpeng Li, Yu Kong, Yun Fu
Reconstruction-based Unsupervised Feature Selection: An Embedded Approach
Jundong Li, Jiliang Tang, Huan Liu
Radar: Residual Analysis for Anomaly Detection in Attributed Networks
Jundong Li, Harsh Dani, Xia Hu et al.
Projective Low-rank Subspace Clustering via Learning Deep Encoder
Jun Li, Liu Hongfu, Handong Zhao et al.
Large-scale Subspace Clustering by Fast Regression Coding
Jun Li, Handong Zhao, Zhiqiang Tao et al.
Improving the Generalization Performance of Multi-class SVM via Angular Regularization
Jianxin Li, Haoyi Zhou, Pengtao Xie et al.
Efficient Kernel Selection via Spectral Analysis
Jian Li, Yong Liu, Hailun Lin 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.
Self-paced Convolutional Neural Networks
Hao Li, Maoguo Gong
Effective Representing of Information Network by Variational Autoencoder
Hang Li, Haozheng Wang, Zhenglu Yang et al.
High Dimensional Bayesian Optimization using Dropout
Cheng Li, Sunil Gupta, Santu Rana et al.
Constrained Bayesian Reinforcement Learning via Approximate Linear Programming
Jongmin Lee, Youngsoo Jang, Pascal Poupart et al.
Name Nationality Classification with Recurrent Neural Networks
Jinhyuk Lee, Hyunjae Kim, Miyoung Ko et al.
Semantic Visualization for Short Texts with Word Embeddings
Tuan M. V. Le, Hady W. Lauw
Learning Sparse Representations in Reinforcement Learning with Sparse Coding
Lei Le, Raksha Kumaraswamy, Martha White
Basket-Sensitive Personalized Item Recommendation
Duc-Trong Le, Hady W. Lauw, Yuan Fang
Saliency Guided End-to-End Learning for Weakly Supervised Object Detection
Baisheng Lai, Xiaojin Gong
Earth Mover's Distance Pooling over Siamese LSTMs for Automatic Short Answer Grading
Sachin Kumar, Soumen Chakrabarti, Shourya Roy
Learning Latest Classifiers without Additional Labeled Data
Atsutoshi Kumagai, Tomoharu Iwata
Decreasing Uncertainty in Planning with State Prediction
Senka Krivic, Michael Cashmore, Daniele Magazzeni et al.
Efficiency Through Procrastination: Approximately Optimal Algorithm Configuration with Runtime Guarantees
Robert Kleinberg, Kevin Leyton-Brown, Brendan Lucier
DeepStory: Video Story QA by Deep Embedded Memory Networks
Kyung-Min Kim, Min-Oh Heo, Seong-Ho Choi et al.