Papers
Bayesian Deep Collaborative Matrix Factorization
Teng Xiao, Shangsong Liang, Weizhou Shen et al.
Tied Transformers: Neural Machine Translation with Shared Encoder and Decoder
Yingce Xia, Tianyu He, Xu Tan et al.
Modelling of Bi-Directional Spatio-Temporal Dependence and Users’ Dynamic Preferences for Missing POI Check-In Identification
Dongbo Xi, Fuzhen Zhuang, Yanchi Liu et al.
Improving Domain-Specific Classification by Collaborative Learning with Adaptation Networks
Si Wu, Jian Zhong, Wenming Cao et al.
Point Cloud Processing via Recurrent Set Encoding
Pengxiang Wu, Chao Chen, Jingru Yi et al.
Uncovering Specific-Shape Graph Anomalies in Attributed Graphs
Nannan Wu, Wenjun Wang, Feng Chen et al.
Efficient Gaussian Process Classification Using Pólya-Gamma Data Augmentation
Florian Wenzel, Théo Galy-Fajou, Christan Donner et al.
RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series
Qingsong Wen, Jingkun Gao, Xiaomin Song et al.
Exploiting Local Feature Patterns for Unsupervised Domain Adaptation
Jun Wen, Risheng Liu, Nenggan Zheng et al.
Unified Embedding Alignment with Missing Views Inferring for Incomplete Multi-View Clustering
Jie Wen, Zheng Zhang, Yong Xu et al.
Learning Compact Model for Large-Scale Multi-Label Data
Tong Wei, Yu-Feng Li
Non-Autoregressive Machine Translation with Auxiliary Regularization
Yiren Wang, Fei Tian, Di He et al.
Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks
Yanzhi Wang, Zheng Zhan, Liang Zhao et al.
Deep Metric Learning by Online Soft Mining and Class-Aware Attention
Xinshao Wang, Yang Hua, Elyor Kodirov et al.
Multiple Independent Subspace Clusterings
Xing Wang, Jun Wang, Carlotta Domeniconi et al.
Transferable Attention for Domain Adaptation
Ximei Wang, Liang Li, Weirui Ye et al.
Hyperbolic Heterogeneous Information Network Embedding
Xiao Wang, Yiding Zhang, Chuan Shi
Explainable Reasoning over Knowledge Graphs for Recommendation
Xiang Wang, Dingxian Wang, Canran Xu et al.
SCNN: A General Distribution Based Statistical Convolutional Neural Network with Application to Video Object Detection
Tianchen Wang, Jinjun Xiong, Xiaowei Xu et al.
Robustness Can Be Cheap: A Highly Efficient Approach to Discover Outliers under High Outlier Ratios
Siqi Wang, En Zhu, Xiping Hu et al.
HyperAdam: A Learnable Task-Adaptive Adam for Network Training
Shipeng Wang, Jian Sun, Zongben Xu
Scalable Distributed DL Training: Batching Communication and Computation
Shaoqi Wang, Aidi Pi, Xiaobo Zhou
An Efficient Approach to Informative Feature Extraction from Multimodal Data
Lichen Wang, Jiaxiang Wu, Shao-Lun Huang et al.