* Recommender Systems
DeepIntent: Learning Attentions for Online Advertising with Recurrent Neural Networks, Shuangfei Zhai et al., KDD 2016
Deep Neural Networks for YouTube Recommendations, Paul Covington et al., RecSys 2016
* Graph Mining
Structural Deep Network Embedding, Daixin Wang et al., KDD 2016
Deep Neural Networks for Learning Graph Representations, Shaosheng Cao et al., AAAI 2016
* Multi-media Retreival:Deep Visual-Semantic Hashing for Cross-Modal Retrieval, Yue Cao et al., KDD 2016
Scalable Multimedia Retrieval by Deep Learning Hashing with Relative Similarity Learning, Lianli Gao et al., MM 2015
* Transportation
Traffic Speed Prediction and Congestion Source Exploration: A Deep Learning Method, Jingyuan Wang et al., ICDM 2016
Traffic Flow Prediction With Big Data: A Deep Learning Approach, Yisheng Lv et al., IEEE Transactions on Intelligent Transportation Systems 2016
* Image Recognition
Doubly Convolutional Neural Networks, Shuangfei Zhai et al., NIPS 2016
Pixel Recurrent Neural Networks, Aaron Van den Oord et al., NIPS 2016
* Robotics
Continual curiosity-driven skill acquisition from high-dimensional video inputs for humanoid robots, V. R. Kompella et al., Artificial Intelligence 2015
A Machine Learning Approach to Visual Perception of Forest Trails for Mobile Robots, A. Giusti et al., IEEE Robotics and Automation Letters 2015
* Object Recognition and Detection
Training Region-Based Object Detectors With Online Hard Example Mining, Abhinav Shrivastava et al., CVPR2016
You Only Look Once: Unified, Real-Time Object Detection, Joseph Redmon et al., CVPR 2016
* Video Analysis
Social LSTM: Human Trajectory Prediction in Crowded Spaces, Alexandre Alahi et al., CVPR 2016
Highlight Detection With Pairwise Deep Ranking for First-Person Video Summarization, Ting Yao et al., CVPR 2016
* Speech Recognition
Towards End-to-End Speech Recognition with Recurrent Neural Networks, Alex Graves et al., ICML 2014
Deep Speech: Scaling up end-to-end speech recognition, ArXiv 2016
Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin, Dario Amodei et al., ICML 2016
* Reinforcement Learning
Benchmarking Deep Reinforcement Learning for Continuous Control, Yan Duan et al., ICML 2016
Opponent Modeling in Deep Reinforcement Learning, He He et al., ICML 2016
* Generative Models Auxiliary Deep Generative Models, Lars Maaloe et al., ICML 2016
One-Shot Generalization in Deep Generative Models, Danilo Rezende et al., ICML 2016
* Natural Language Processing
Dynamic Memory Networks for Visual and Textual Question Answering, Caiming Xiong et al., ICML 2016
Ask Me Anything: Dynamic Memory Networks for Natural Language Processing, Ankit Kumar et al., ICML 2016 |