Papers
Video Inpainting by Jointly Learning Temporal Structure and Spatial Details
Chuan Wang, Haibin Huang, Xiaoguang Han et al.
CAMO: A Collaborative Ranking Method for Content Based Recommendation
Chengwei Wang, Tengfei Zhou, Chen Chen et al.
Robust Anomaly Detection in Videos Using Multilevel Representations
Hung Vu, Tu Dinh Nguyen, Trung Le et al.
Automatic Bayesian Density Analysis
Antonio Vergari, Alejandro Molina, Robert Peharz et al.
Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data
Amin Vahedian, Xun Zhou, Ling Tong et al.
Improving GAN with Neighbors Embedding and Gradient Matching
Ngoc-Trung Tran, Tuan-Anh Bui, Ngai-Man Cheung
Learning Triggers for Heterogeneous Treatment Effects
Christopher Tran, Elena Zheleva
Natural Option Critic
Saket Tiwari, Philip S. Thomas
Learning Competitive and Discriminative Reconstructions for Anomaly Detection
Kai Tian, Shuigeng Zhou, Jianping Fan et al.
A Non–Convex Optimization Approach to Correlation Clustering
Erik Thiel, Morteza Haghir Chehreghani, Devdatt Dubhashi
Clipped Matrix Completion: A Remedy for Ceiling Effects
Takeshi Teshima, Miao Xu, Issei Sato et al.
Holographic Factorization Machines for Recommendation
Yi Tay, Shuai Zhang, Anh Tuan Luu et al.
Optimization of Hierarchical Regression Model with Application to Optimizing Multi-Response Regression K-ary Trees
Pooya Tavallali, Peyman Tavallali, Mukesh Singhal
A Radical-Aware Attention-Based Model for Chinese Text Classification
Hanqing Tao, Shiwei Tong, Hongke Zhao et al.
Self-Paced Active Learning: Query the Right Thing at the Right Time
Ying-Peng Tang, Sheng-Jun Huang
An Integral Tag Recommendation Model for Textual Content
Shijie Tang, Yuan Yao, Suwei Zhang et al.
Cross-View Local Structure Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection
Chang Tang, Xinzhong Zhu, Xinwang Liu et al.
Refining Coarse-Grained Spatial Data Using Auxiliary Spatial Data Sets with Various Granularities
Yusuke Tanaka, Tomoharu Iwata, Toshiyuki Tanaka et al.
Coreset Stochastic Variance-Reduced Gradient with Application to Optimal Margin Distribution Machine
Zhi-Hao Tan, Teng Zhang, Wei Wang
Character n-Gram Embeddings to Improve RNN Language Models
Sho Takase, Jun Suzuki, Masaaki Nagata
Variational Autoencoder with Implicit Optimal Priors
Hiroshi Takahashi, Tomoharu Iwata, Yuki Yamanaka et al.
Matrix Completion for Graph-Based Deep Semi-Supervised Learning
Fariborz Taherkhani, Hadi Kazemi, Nasser M. Nasrabadi
Learning Vine Copula Models for Synthetic Data Generation
Yi Sun, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
Network Structure and Transfer Behaviors Embedding via Deep Prediction Model
Xin Sun, Zenghui Song, Junyu Dong et al.
Non-Ergodic Convergence Analysis of Heavy-Ball Algorithms
Tao Sun, Penghang Yin, Dongsheng Li et al.