Papers
8,127 papers found
Deep Context: A Neural Language Model for Large-scale Networked Documents
Hao Wu, Kristina Lerman
Deep-dense Conditional Random Fields for Object Co-segmentation
Zehuan Yuan, Tong Lu, Yirui Wu
Deep Descriptor Transforming for Image Co-Localization
Xiu-Shen Wei, Chen-Lin Zhang, Yao Li et al.
DeepFacade: A Deep Learning Approach to Facade Parsing
Hantang Liu, Jialiang Zhang, Jianke Zhu et al.
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
Huifeng Guo, Ruiming TANG, Yunming Ye et al.
Deep Forest: Towards An Alternative to Deep Neural Networks
Zhi-Hua Zhou, Ji Feng
Deep Graphical Feature Learning for Face Sketch Synthesis
Mingrui Zhu, Nannan Wang, Xinbo Gao et al.
Deep Learning at Alibaba
Rong Jin
Deep Matrix Factorization Models for Recommender Systems
Hong-Jian Xue, Xinyu Dai, Jianbing Zhang et al.
Deep Multiple Instance Hashing for Object-based Image Retrieval
Wanqing Zhao, Ziyu Guan, Hangzai Luo et al.
Deep Multi-species Embedding
Di Chen, Yexiang Xue, Daniel Fink et al.
Deep Neural Networks for High Dimension, Low Sample Size Data
Bo Liu, Ying Wei, Yu Zhang et al.
Deep Optical Flow Estimation Via Multi-Scale Correspondence Structure Learning
Shanshan Zhao, Xi Li, Omar El Farouk Bourahla
Deep Ordinal Regression Based on Data Relationship for Small Datasets
Yanzhu Liu, Adams Wai Kin Kong, Chi Keong Goh
DeepStory: Video Story QA by Deep Embedded Memory Networks
Kyung-Min Kim, Min-Oh Heo, Seong-Ho Choi et al.
Deep Supervised Hashing with Nonlinear Projections
Sen Su, Gang Chen, Xiang Cheng et al.
Defending Against Man-In-The-Middle Attack in Repeated Games
Shuxin Li, Xiaohong Li, Jianye Hao et al.
Demystifying Neural Style Transfer
Yanghao Li, Naiyan Wang, Jiaying Liu et al.
Dependency Exploitation: A Unified CNN-RNN Approach for Visual Emotion Recognition
Xinge Zhu, Liang Li, Weigang Zhang et al.
Depression Detection via Harvesting Social Media: A Multimodal Dictionary Learning Solution
Guangyao Shen, Jia Jia, Liqiang Nie et al.
Deterministic, Strategyproof, and Fair Cake Cutting
Vijay Menon, Kate Larson
DISA: A Scientific Writing Advisor with Deep Information Structure Analysis
Hen-Hsen Huang, Hsin-Hsi Chen
Disambiguating Energy Disaggregation: A Collective Probabilistic Approach
Sabina Tomkins, Jay Pujara, Lise Getoor
Discovering Relevance-Dependent Bicluster Structure from Relational Data
Iku Ohama, Takuya Kida, Hiroki Arimura
Discriminant Tensor Dictionary Learning with Neighbor Uncorrelation for Image Set Based Classification
Fei Wu, Xiao-Yuan Jing, Wangmeng Zuo et al.