Crowdsourcing, Deep Learning and Artificial Intelligence Agents
Papers from the 2017 AAAI Workshop
Daniela Braga, Chair
AAAI Technical Report WS-17-07
This technical report was published as part of The Workshops of the Thirty-First AAAI Conference on Artificial Intelligence: Technical Reports WS-17-01 – WS-17-15 by The AAAI Press, Palo Alto, California
Contents
Learning from Graph Neighborhoods Using LSTMs
Rakshit Agrawal, Luca de Alfaro, Vassilis Polychronopoulos
Unsupervised Multi-Manifold Clustering by Learning Deep Representation
Dongdong Chen, Jiancheng Lv, Yi Zhang
Semi-Automated Annotation of Discrete States in Large Video Datasets
Lex Fridman, Bryan Reimer
Real-Time Fashion-Guided Clothing Semantic Parsing: A Lightweight Multi-Scale Inception Neural Network and Benchmark
Yuhang He, Lu Yang, Long Chen
Complementing the Execution of AI Systems with Human Computation
Ece Kamar, Lydia Manikonda
Beyond Mechanical Turk: Using Techniques from Meta Learning to Compare Crowdsourcing Platforms Across Languages
Sarah K. K. Luger
DeepForest: 3D Hand Pose Estimation Using Deep Network and Random Forest Regression
Le Manh Quan, Kim Yong-Guk
Crowdsourcing Multimodal Dialog Interactions: Lessons Learned from the HALEF Case
Vikram Ramanarayanan, David Suendermann-Oeft, Hillary Molloy, Eugene Tsuprun, Patrick Lange, Keelan Evanini
Crowdsourced Continuous Improvement of Medical Speech Recognition
Wael Salloum, Erik Edwards, Shabnam Ghaffarzadegan, David Suendermann-Oeft, Mark Miller
Crowdsourcing the Pronunciation of Out-of-Vocabulary Words
Sajad Shirali-Shahreza, Pieter Luitjens, Natalie Morcos, Wen Xiao, Zhenghong Qian, Gerald Penn
Incorporating Collaborative Ranking Algorithm with Weighted Recursive Autoencoder for Item Recommendation
Hanzhang Song, Yunhui Guo, Congfu Xu
Regularization and Learning an Ensemble of RNNs by Decorrelating Representations
Mohit Yadav, Sakshi Agarwal
Efficient Transfer Learning Schemes for Personalized Language Modeling using Recurrent Neural Network
Seunghyun Yoon, Hyeongu Yun, Yuna Kim, Gyu-tae Park, Kyomin Jung
Deep Style Match for Complementary Recommendation
Kui Zhao, Xia Hu, Jiajun Bu, Can Wang
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