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Veranstaltungen im Sommersemester 2017 / Master-Seminar: Advances in Deep Learning
Literatur

Lecture Slides:

   01. How to Read a Paper[PDF]24.04.2017
   02. How to Prepare a Presentation and Write a Report[PDF]24.04.2017

Literatur:

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 Retrieval

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