Papers
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.
Learning deep structured network for weakly supervised change detection
Salman Khan, Xuming He, Fatih Porikli et al.
Bernoulli Rank-1 Bandits for Click Feedback
Sumeet Katariya, Branislav Kveton, Csaba Szepesvári et al.
Modelling the Working Week for Multi-Step Forecasting using Gaussian Process Regression
Pasan Karunaratne, Masud Moshtaghi, Shanika Karunasekera et al.
A Functional Dynamic Boltzmann Machine
Hiroshi Kajino
Confusion Graph: Detecting Confusion Communities in Large Scale Image Classification
Ruochun Jin, Yong Dou, Yueqing Wang et al.
Improving Classification Accuracy of Feedforward Neural Networks for Spiking Neuromorphic Chips
Antonio Jimeno Yepes, Jianbin Tang, Benjamin Scott Mashford
Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering
Zhuxi Jiang, Yin Zheng, Huachun Tan et al.
Theoretic Analysis and Extremely Easy Algorithms for Domain Adaptive Feature Learning
Wenhao Jiang, Cheng Deng, Wei Liu et al.
Exploration of Tree-based Hierarchical Softmax for Recurrent Language Models
Nan Jiang, Wenge Rong, Min Gao et al.