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Eliciting Transferability in Multi-task Learning with Task-level Mixture-of-Experts



Qinyuan Ye , Juan Zha , Xiang Ren


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Sparse Distillation: Speeding Up Text Classification by Using Bigger Models



Qinyuan Ye , Madian Khabsa , Mike Lewis , Sinong Wang , Xiang Ren , Aaron Jaech


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On the Influence of Masking Policies in Intermediate Pre-training



Qinyuan Ye , Belinda Z. Li , Sinong Wang , Benjamin Bolte , Hao Ma , Wen-tau Yih , Xiang Ren , Madian Khabsa


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CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP



Qinyuan Ye , Bill Yuchen Lin , Xiang Ren


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Refining Neural Networks with Compositional Explanations



Huihan Yao , Ying Chen , Qinyuan Ye , Xisen Jin , Xiang Ren


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Zero-shot Learning by Generating Task-specific Adapters



Qinyuan Ye , Xiang Ren


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Studying Strategically: Learning to Mask for Closed-book QA



Qinyuan Ye , Belinda Z. Li , Sinong Wang , Benjamin Bolte , Hao Ma , Wen-tau Yih , Xiang Ren , Madian Khabsa


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Teaching Machine Comprehension with Compositional Explanations



Qinyuan Ye , Xiao Huang , Xiang Ren


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LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation



Dong-Ho Lee , Rahul Khanna , Bill Yuchen Lin , Jamin Chen , Seyeon Lee , Qinyuan Ye , Elizabeth Boschee , Leonardo Neves , Xiang Ren

* Accepted to the ACL 2020 (demo). The first two authors contributed equally. Project page: http://inklab.usc.edu/leanlife/ 

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