Papers
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
Defending with Shared Resources on a Network
Minming Li, Long Tran-Thanh, Xiaowei Wu
DefogGAN: Predicting Hidden Information in the StarCraft Fog of War with Generative Adversarial Nets
Yonghyun Jeong, Hyunjin Choi, Byoungjip Kim et al.
DeGAN: Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier
Sravanti Addepalli, Gaurav Kumar Nayak, Anirban Chakraborty et al.
Delay-Adaptive Distributed Stochastic Optimization
Zhaolin Ren, Zhengyuan Zhou, Linhai Qiu et al.
Dempster-Shafer Theoretic Learning of Indirect Speech Act Comprehension Norms
Ruchen Wen, Mohammed Aun Siddiqui, Tom Williams
Designing Committees for Mitigating Biases
Michal Feldman, Yishay Mansour, Noam Nisan et al.
Detecting and Tracking Communal Bird Roosts in Weather Radar Data
Zezhou Cheng, Saadia Gabriel, Pankaj Bhambhani et al.
Detecting Asks in Social Engineering Attacks: Impact of Linguistic and Structural Knowledge
Bonnie Dorr, Archna Bhatia, Adam Dalton et al.
Detecting Human-Object Interactions via Functional Generalization
Ankan Bansal, Sai Saketh Rambhatla, Abhinav Shrivastava et al.