Papers
Deep Bayesian Nonparametric Learning of Rules and Plans from Demonstrations with a Learned Automaton Prior
Brandon Araki, Kiran Vodrahalli, Thomas Leech et al.
Deep Camouflage Images
Qing Zhang, Gelin Yin, Yongwei Nie et al.
Deep Conservative Policy Iteration
Nino Vieillard, Olivier Pietquin, Matthieu Geist
Deep Discriminative CNN with Temporal Ensembling for Ambiguously-Labeled Image Classification
Yao Yao, Jiehui Deng, Xiuhua Chen et al.
Deep Domain-Adversarial Image Generation for Domain Generalisation
Kaiyang Zhou, Yongxin Yang, Timothy Hospedales et al.
DeepDualMapper: A Gated Fusion Network for Automatic Map Extraction Using Aerial Images and Trajectories
Hao Wu, Hanyuan Zhang, Xinyu Zhang et al.
Deep Embedded Complementary and Interactive Information for Multi-View Classification
Jinglin Xu, Wenbin Li, Xinwang Liu et al.
Deep Embedded Non-Redundant Clustering
Lukas Miklautz, Dominik Mautz, Muzaffer Can Altinigneli et al.
Deep Generative Probabilistic Graph Neural Networks for Scene Graph Generation
Mahmoud Khademi, Oliver Schulte
Deep Learning—Powered Iterative Combinatorial Auctions
Jakob Weissteiner, Sven Seuken
Deep Match to Rank Model for Personalized Click-Through Rate Prediction
Ze Lyu, Yu Dong, Chengfu Huo et al.
Deep Message Passing on Sets
Yifeng Shi, Junier Oliva, Marc Niethammer
Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare
Ingyo Chung, Saehoon Kim, Juho Lee et al.
Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization
Qi Zhou, HouQiang Li, Jie Wang
Deep Neural Network Approximated Dynamic Programming for Combinatorial Optimization
Shenghe Xu, Shivendra S. Panwar, Murali Kodialam et al.
Deep Object Co-Segmentation via Spatial-Semantic Network Modulation
Kaihua Zhang, Jin Chen, Bo Liu et al.
Deep Ranking for Style-Aware Room Recommendations (Student Abstract)
İlkay Yıldız, Esra Ataer-Cansızoğlu, Hantian Liu et al.
Deep Reinforcement Learning for Active Human Pose Estimation
Erik Gärtner, Aleksis Pirinen, Cristian Sminchisescu
Deep Reinforcement Learning for General Game Playing
Adrian Goldwaser, Michael Thielscher
Deep Reservoir Computing Meets 5G MIMO-OFDM Systems in Symbol Detection
Zhou Zhou, Lingjia Liu, Vikram Chandrasekhar et al.
Deep Residual-Dense Lattice Network for Speech Enhancement
Mohammad Nikzad, Aaron Nicolson, Yongsheng Gao et al.
Deep Spiking Delayed Feedback Reservoirs and Its Application in Spectrum Sensing of MIMO-OFDM Dynamic Spectrum Sharing
Kian Hamedani, Lingjia Liu, Shiya Liu et al.
Deep Time-Stream Framework for Click-through Rate Prediction by Tracking Interest Evolution
Shu-Ting Shi, Wenhao Zheng, Jun Tang et al.
Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval
Dixian Zhu, Dongjin Song, Yuncong Chen et al.
DeepVar: An End-to-End Deep Learning Approach for Genomic Variant Recognition in Biomedical Literature
Chaoran Cheng, Fei Tan, Zhi Wei