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A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness


May 01, 2022
Jeremiah Zhe Liu, Shreyas Padhy, Jie Ren, Zi Lin, Yeming Wen, Ghassen Jerfel, Zack Nado, Jasper Snoek, Dustin Tran, Balaji Lakshminarayanan

* arXiv admin note: text overlap with arXiv:2006.10108 

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Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation


Jul 09, 2021
Ian D. Kivlichan, Zi Lin, Jeremiah Liu, Lucy Vasserman

* WOAH 2021 

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Large-Scale Generative Data-Free Distillation


Dec 10, 2020
Liangchen Luo, Mark Sandler, Zi Lin, Andrey Zhmoginov, Andrew Howard


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Pruning Redundant Mappings in Transformer Models via Spectral-Normalized Identity Prior


Oct 05, 2020
Zi Lin, Jeremiah Zhe Liu, Zi Yang, Nan Hua, Dan Roth

* Findings of EMNLP 2020 

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Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness


Jun 17, 2020
Jeremiah Zhe Liu, Zi Lin, Shreyas Padhy, Dustin Tran, Tania Bedrax-Weiss, Balaji Lakshminarayanan


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Fast Structured Decoding for Sequence Models


Oct 25, 2019
Zhiqing Sun, Zhuohan Li, Haoqing Wang, Zi Lin, Di He, Zhi-Hong Deng

* Accepted to NeurIPS 2019 (Previous title: Structured Decoding for Non-Autoregressive Machine Translation) 

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Hint-Based Training for Non-Autoregressive Machine Translation


Sep 15, 2019
Zhuohan Li, Zi Lin, Di He, Fei Tian, Tao Qin, Liwei Wang, Tie-Yan Liu

* EMNLP-IJCNLP 2019 

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A Comparative Analysis of Knowledge-Intensive and Data-Intensive Semantic Parsers


Aug 15, 2019
Junjie Cao, Zi Lin, Weiwei Sun, Xiaojun Wan

* submitted to the journal Computational Linguistics 

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Implanting Rational Knowledge into Distributed Representation at Morpheme Level


Nov 26, 2018
Zi Lin, Yang Liu

* AAAI 2019 

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