Papers
Learning with Previously Unseen Features
Yuan Shi, Craig A. Knoblock
Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization
Zebang Shen, Hui Qian, Tongzhou Mu et al.
Learning Multi-level Region Consistency with Dense Multi-label Networks for Semantic Segmentation
Tong Shen, Guosheng Lin, Chunhua Shen et al.
Compressed Nonparametric Language Modelling
Ehsan Shareghi, Gholamreza Haffari, Trevor Cohn
Locally Consistent Bayesian Network Scores for Multi-Relational Data
Oliver Schulte, Sajjad Gholami
Convolutional-Match Networks for Question Answering
Spyridon Samothrakis, Tom Vodopivec, Michael Fairbank et al.
LMPP: A Large Margin Point Process Combining Reinforcement and Competition for Modeling Hashtag Popularity
Bidisha Samanta, Abir De, Abhijnan Chakraborty et al.
See without looking: joint visualization of sensitive multi-site datasets
Debbrata K. Saha, Vince D. Calhoun, Sandeep R. Panta et al.
Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations
Andrew Slavin Ross, Michael C. Hughes, Finale Doshi-Velez
Distributed Accelerated Proximal Coordinate Gradient Methods
Yong Ren, Jun Zhu
Sense Beauty by Label Distribution Learning
Yi Ren, Xin Geng
Robust Softmax Regression for Multi-class Classification with Self-Paced Learning
Yazhou Ren, Peng Zhao, Yongpan Sheng et al.
Stacking With Auxiliary Features
Nazneen Fatema Rajani, Raymond J. Mooney
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
Yao Qin, Dongjin Song, Haifeng Chen et al.
Improving Stochastic Block Models by Incorporating Power-Law Degree Characteristic
Maoying Qiao, Jun Yu, Wei Bian et al.
On Subset Selection with General Cost Constraints
Chao Qian, Jing-Cheng Shi, Yang Yu et al.
Optimizing Ratio of Monotone Set Functions
Chao Qian, Jing-Cheng Shi, Yang Yu et al.
Boosted Zero-Shot Learning with Semantic Correlation Regularization
Te Pi, Xi Li, Zhongfei (Mark) Zhang
Flexible Orthogonal Neighborhood Preserving Embedding
Tianji Pang, Feiping Nie, Junwei Han
Learning Homophily Couplings from Non-IID Data for Joint Feature Selection and Noise-Resilient Outlier Detection
Guansong Pang, Longbing Cao, Ling Chen et al.
Discovering Relevance-Dependent Bicluster Structure from Relational Data
Iku Ohama, Takuya Kida, Hiroki Arimura
SEVEN: Deep Semi-supervised Verification Networks
Vahid Noroozi, Lei Zheng, Sara Bahaadini et al.
Self-weighted Multiview Clustering with Multiple Graphs
Feiping Nie, Jing Li, Xuelong Li
Joint Capped Norms Minimization for Robust Matrix Recovery
Feiping Nie, Zhouyuan Huo, Heng Huang
Discriminative Bayesian Nonparametric Clustering
Vu Nguyen, Dinh Phung, Trung Le et al.