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Deep Learning Models for Predicting Wildfires from Historical Remote-Sensing Data


Oct 15, 2020
Fantine Huot, R. Lily Hu, Matthias Ihme, Qing Wang, John Burge, Tianjian Lu, Jason Hickey, Yi-Fan Chen, John Anderson


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Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval


Aug 19, 2020
Tao Wu, Ellie Ka-In Chio, Heng-Tze Cheng, Yu Du, Steffen Rendle, Dima Kuzmin, Ritesh Agarwal, Li Zhang, John Anderson, Sarvjeet Singh, Tushar Chandra, Ed H. Chi, Wen Li, Ankit Kumar, Xiang Ma, Alex Soares, Nitin Jindal, Pei Cao

* Accepted at CIKM 2020 

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Neural Collaborative Filtering vs. Matrix Factorization Revisited


Jun 01, 2020
Steffen Rendle, Walid Krichene, Li Zhang, John Anderson


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Superbloom: Bloom filter meets Transformer


Feb 11, 2020
John Anderson, Qingqing Huang, Walid Krichene, Steffen Rendle, Li Zhang


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Scaling Up Collaborative Filtering Data Sets through Randomized Fractal Expansions


Apr 08, 2019
Francois Belletti, Karthik Lakshmanan, Walid Krichene, Nicolas Mayoraz, Yi-Fan Chen, John Anderson, Taylor Robie, Tayo Oguntebi, Dan Shirron, Amit Bleiwess

* arXiv admin note: substantial text overlap with arXiv:1901.08910 

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Scalable Realistic Recommendation Datasets through Fractal Expansions


Jan 23, 2019
Francois Belletti, Karthik Lakshmanan, Walid Krichene, Yi-Fan Chen, John Anderson


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Efficient Training on Very Large Corpora via Gramian Estimation


Jul 18, 2018
Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang, Xinyang Yi, Lichan Hong, Ed Chi, John Anderson


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