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CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation


Oct 05, 2020
Tianlu Wang, Xuezhi Wang, Yao Qin, Ben Packer, Kang Li, Jilin Chen, Alex Beutel, Ed Chi

* 6 pages, accepted to EMNLP 2020 

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Developing a Recommendation Benchmark for MLPerf Training and Inference


Mar 16, 2020
Carole-Jean Wu, Robin Burke, Ed Chi, Joseph Konstan, Julian McAuley, Yves Raimond, Hao Zhang


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Data Efficient Training for Reinforcement Learning with Adaptive Behavior Policy Sharing


Feb 12, 2020
Ge Liu, Rui Wu, Heng-Tze Cheng, Jing Wang, Jayden Ooi, Lihong Li, Ang Li, Wai Lok Sibon Li, Craig Boutilier, Ed Chi

* on Deep Reinforcement Learning workshop at NeurIPS 2019 

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BRPO: Batch Residual Policy Optimization


Feb 08, 2020
Sungryull Sohn, Yinlam Chow, Jayden Ooi, Ofir Nachum, Honglak Lee, Ed Chi, Craig Boutilier


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Top-K Off-Policy Correction for a REINFORCE Recommender System


Dec 06, 2018
Minmin Chen, Alex Beutel, Paul Covington, Sagar Jain, Francois Belletti, Ed Chi


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Seq2Slate: Re-ranking and Slate Optimization with RNNs


Oct 04, 2018
Irwan Bello, Sayali Kulkarni, Sagar Jain, Craig Boutilier, Ed Chi, Elad Eban, Xiyang Luo, Alan Mackey, Ofer Meshi


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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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